Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65489, first published .
Feasibility and Cultural Adaptation of a Community-Engaged Physical Activity Intervention for Hispanic Older Adults: Pilot Study

Feasibility and Cultural Adaptation of a Community-Engaged Physical Activity Intervention for Hispanic Older Adults: Pilot Study

Feasibility and Cultural Adaptation of a Community-Engaged Physical Activity Intervention for Hispanic Older Adults: Pilot Study

1Department of Psychiatry, University of California, San Diego, 9500 Gilman Drive MC 0811, La Jolla, CA, United States

2Kaiser Permanente Washington Health Research Institute, Seattle, WA, United States

3Department of Health Systems and Population Health, School of Public Health, University of Washington, Seattle, WA, United States

4Department of Kinesiology and Nutrition, University of Illinois Chicago, Chicago, IL, United States

Corresponding Author:

Zvinka Z Zlatar, PhD


Background: The adult Hispanic population of the United States faces an increased risk of dementia compared to non-Hispanic White adults. Physical activity (PA) can help reduce dementia risk, but culturally adapted interventions for Hispanic populations are lacking. Culturally adapted interventions are needed to increase uptake and adherence to brain health promotion strategies in the Hispanic community.

Objective: The De Pie y a Movernos intervention aims to reduce barriers to participation in clinical research by culturally adapting a remotely based PA intervention for middle-aged and older Hispanic adults and establish its feasibility and acceptability through a pre-post pilot study. Findings from the cultural adaptation process will inform a stage II PA randomized controlled trial.

Methods: The adaptation process followed Barrera and Castro’s 2006 cultural adaptation framework and included a literature review, translation of intervention materials, review by a Hispanic-comprised community advisory board and bilingual staff, and a pre-post pilot study (N=10) with subsequent focus groups to refine the intervention. The pilot intervention included the use of Fitbit activity trackers and 2 individualized goal-setting calls with a health coach over a period of 3 weeks. Feasibility and acceptability were assessed using both quantitative methods and qualitative focus groups. Primary quantitative outcomes included enrollment, recruitment, and completion rates, as well as acceptability (predetermined satisfaction survey scores ≥3). Focus groups were thematically coded to identify themes for participants’ opinions about several aspects of the intervention and explore key barriers and facilitators to PA engagement to improve the planned stage II trial.

Results: Ten Hispanic adults (age: mean 62.7, SD 5.3 years; education: mean 11.8, SD 3.8 years; n=9, 90% female; n=9, 90% Spanish-speaking) participated in the pre-post pilot, with a 100% completion rate, 50% enrollment rate, and a recruitment rate of 5 participants per month. Acceptability was high (mean score 4.6, SD 0.3; range 1‐5). Qualitative analyses indicated that participants had high satisfaction with the intervention. They expressed a preference for adding group-based activities and increased interaction with study staff. Key barriers to PA included lack of awareness about the benefits of PA, low self-efficacy, time constraints, health conditions, and weather, while facilitators included awareness of PA’s cognitive benefits, social support from family or friends, accountability, enjoyable activities, self-efficacy, and Fitbit use. Insights from participants and community advisory board recommendations led to modifications for the larger trial, such as incorporating group-based elements for those who want them and adding an option for teleconference coaching calls.

Conclusions: The cultural adaptation process was essential in refining the intervention to align with the preferences of older Hispanic adults, which resulted in a feasible and acceptable intervention. Findings will inform a planned stage II randomized controlled trial aimed at promoting PA and reducing dementia risk in older Hispanic adults.

JMIR Form Res 2025;9:e65489

doi:10.2196/65489

Keywords



Older adults from the Hispanic or Latino community (henceforth referred to as Hispanic) face numerous health disparities [Vega WA, Rodriguez MA, Gruskin E. Health disparities in the Latino population. Epidemiol Rev. 2009;31:99-112. [CrossRef] [Medline]1-Stickel A, McKinnon A, Ruiz J, Grilli MD, Ryan L. The impact of cardiovascular risk factors on cognition in Hispanics and non-Hispanic whites. Learn Mem. Jul 2019;26(7):235-244. [CrossRef] [Medline]4], including higher rates of Alzheimer disease and related dementias (ADRD) [Quiroz YT, Solis M, Aranda MP, et al. Addressing the disparities in dementia risk, early detection and care in Latino populations: highlights from the second Latinos & Alzheimer’s Symposium. Alzheimers Dement. Sep 2022;18(9):1677-1686. [CrossRef] [Medline]5-U.S. burden of Alzheimer’s disease, related dementias to double by 2060. Centers for Disease Control and Prevention. URL: https:/​/archive.​cdc.gov/​#/​details?url=https:/​/www.​cdc.gov/​media/​releases/​2018/​p0920-alzheimers-burden-double-2060.​html [Accessed 2025-03-10] 7] and cardiometabolic conditions like diabetes, hypertension, and obesity, which are more prevalent in Hispanic populations compared to their non-Hispanic White counterparts [Aguayo-Mazzucato C, Diaque P, Hernandez S, Rosas S, Kostic A, Caballero AE. Understanding the growing epidemic of type 2 diabetes in the Hispanic population living in the United States. Diabetes Metab Res Rev. Feb 2019;35(2):e3097. [CrossRef] [Medline]8-Powell-Wiley TM, Baumer Y, Baah FO, et al. Social determinants of cardiovascular disease. Circ Res. Mar 4, 2022;130(5):782-799. [CrossRef] [Medline]13]. Notably, cardiometabolic conditions increase the risk of developing ADRD, which is a growing public health concern [Quiroz YT, Solis M, Aranda MP, et al. Addressing the disparities in dementia risk, early detection and care in Latino populations: highlights from the second Latinos & Alzheimer’s Symposium. Alzheimers Dement. Sep 2022;18(9):1677-1686. [CrossRef] [Medline]5,Daviglus ML, Talavera GA, Avilés-Santa ML, et al. Prevalence of major cardiovascular risk factors and cardiovascular diseases among Hispanic/Latino individuals of diverse backgrounds in the United States. JAMA. Nov 7, 2012;308(17):1775-1784. [CrossRef] [Medline]14-Stickel AM, Tarraf W, Gonzalez KA, et al. Central obesity, cardiometabolic risk, and cognitive change in the study of Latinos: investigation of neurocognitive aging. J Alzheimers Dis. 2021;82(3):1203-1218. [CrossRef] [Medline]18]. Projections indicate that by the year 2060, there will be 3.2 million Hispanic older adults living with ADRD [U.S. burden of Alzheimer’s disease, related dementias to double by 2060. Centers for Disease Control and Prevention. URL: https:/​/archive.​cdc.gov/​#/​details?url=https:/​/www.​cdc.gov/​media/​releases/​2018/​p0920-alzheimers-burden-double-2060.​html [Accessed 2025-03-10] 7], highlighting the urgency for targeted and culturally adapted risk reduction strategies to promote cognition and brain health for this population.

The 2024 Lancet Commission on Dementia Prevention highlighted that addressing 14 modifiable risk factors, including physical inactivity, could account for up to 45% of dementia cases worldwide [Livingston G, Huntley J, Liu KY, et al. Dementia prevention, intervention, and care: 2024 report of the Lancet Standing Commission. The Lancet. Aug 2024;404(10452):572-628. [CrossRef]19]. Regular physical activity (PA) is associated with improved cognitive function [Carson Smith J, Callow DD, Pena GS, et al. Exercise and protection from age-related cognitive decline. Curr Top Behav Neurosci. 2024;67(263-280):263-280. [CrossRef] [Medline]20,Augusto-Oliveira M, Arrifano GP, Leal-Nazaré CG, et al. Exercise reshapes the brain: molecular, cellular, and structural changes associated with cognitive improvements. Mol Neurobiol. Dec 2023;60(12):6950-6974. [CrossRef] [Medline]21], reduced neurodegeneration [Boa Sorte Silva NC, Barha CK, Erickson KI, Kramer AF, Liu-Ambrose T. Physical exercise, cognition, and brain health in aging. Trends Neurosci. Jun 2024;47(6):402-417. [CrossRef] [Medline]22], higher cerebral blood flow [Zlatar ZZ, Hays CC, Mestre Z, et al. Dose-dependent association of accelerometer-measured physical activity and sedentary time with brain perfusion in aging. Exp Gerontol. Oct 1, 2019;125(110679):110679. [CrossRef] [Medline]23], and a lower risk of ADRD [Nguyen S, LaCroix AZ, Hayden KM, et al. Accelerometer-measured physical activity and sitting with incident mild cognitive impairment or probable dementia among older women. Alzheimers Dement. Jul 2023;19(7):3041-3054. [CrossRef] [Medline]24,Iso-Markku P, Kujala UM, Knittle K, Polet J, Vuoksimaa E, Waller K. Physical activity as a protective factor for dementia and Alzheimer’s disease: systematic review, meta-analysis and quality assessment of cohort and case-control studies. Br J Sports Med. Jun 2022;56(12):701-709. [CrossRef] [Medline]25]. However, older Hispanic adults engage in PA at significantly lower rates than their White counterparts [Adult physical inactivity. Centers for Disease Control and Prevention. Nov 20, 2023. URL: https://www.cdc.gov/physicalactivity/data/inactivity-prevalence-maps/index.html [Accessed 2025-05-20] 26] in part due to institutional (less information or education about PA, financial constraints, and lower access to health care), societal (caregiving responsibilities, lack of childcare, and poor spousal support), and environmental barriers (weather, less access to green spaces, facilities, or safe places to exercise) [Bantham A, Taverno Ross SE, Sebastião E, Hall G. Overcoming barriers to physical activity in underserved populations. Prog Cardiovasc Dis. 2021;64:64-71. [CrossRef] [Medline]27,Ramirez A. Research: latino communities lack accessible green space. Salud America. May 10, 2019. URL: https://salud-america.org/research-latino-communities-lack-accessible-green-space/ [Accessed 2025-05-20] 28]. These disparities highlight the need to develop novel and culturally adapted PA interventions that address these barriers and support engagement in PA among older Hispanic adults to improve brain health. Using community-engaged approaches such as cultural adaptation, involving a community advisory board (CAB), and including bicultural/bilingual staff can increase adherence and satisfaction by making PA and other lifestyle behavior interventions more culturally relevant, acceptable, and accessible to the target communities [Aisenberg E, Dwight-Johnson M, O’Brien M, Ludman EJ, Golinelli D. Building a community-academic partnership: implementing a community-based trial of telephone cognitive behavioral therapy for rural Latinos. Depress Res Treat. 2012;2012:257858. [CrossRef] [Medline]29-Nierkens V, Hartman MA, Nicolaou M, et al. Effectiveness of cultural adaptations of interventions aimed at smoking cessation, diet, and/or physical activity in ethnic minorities: a systematic review. PLoS One. 2013;8(10):e73373. [CrossRef] [Medline]34].

To address this gap, we developed the culturally adapted De Pie y a Movernos intervention, a fully remote and individualized PA intervention designed to gradually increase PA to reduce ADRD risk among middle-aged and older Hispanic adults. This manuscript describes the cultural adaptation process informed by community engagement strategies [Balls-Berry JE, Acosta-Pérez E. The use of community engaged research principles to improve health: community academic partnerships for research. P R Health Sci J. Jun 2017;36(2):84-85. [Medline]35] and presents feasibility and acceptability outcomes from a brief pre-post pilot study and follow-up participant focus groups. We also summarize qualitative findings about participants’ opinions of the study as well as perceived barriers and facilitators. Findings from this pilot trial will inform the development of a larger stage II randomized controlled trial (RCT) to determine the efficacy of the De Pie y a Movernos intervention to increase objectively measured PA while investigating changes in mechanisms of adherence and cognitive function.


Study Description

The goal of the De Pie y a Movernos study was to culturally adapt a PA intervention for the older and middle-aged Hispanic community based on participant and community feedback gathered during a short pre-post pilot study, with the ultimate goal to later test the adapted intervention in a larger, fully remote, stage II RCT. The pre-post pilot intervention lasted 3 weeks and was comprised of 2 phone calls with the study health coach. The Fitbit Inspire 2, a commercially available activity tracker with heart rate monitoring, was used as an intervention tool that helped the health coach guide individualized PA goals. See Figure 1 for a timeline of the study and its components.

Figure 1. Depiction of the De Pie y a Movernos pilot study timeline and main procedures. The study lasted 6 weeks in total when taking into consideration the baseline and post assessments. The De Pie y a Movernos intervention itself lasted 3 weeks and included a tech phone call to set up the activity tracker at week 1 (Fitbit Inspire 2), followed by 2 phone calls from a health coach at weeks 2 and 3 of the intervention (N=10). Focus groups were conducted after the postintervention assessments (n=9). Nine out of the 10 participants who completed the intervention participated in the focus groups. AD=Alzheimer disease; CAB: community advisory board; PA: physical activity.

Cultural Adaptation Process

Overview

We followed the Barrera and Castro four-phased cultural adaptation approach [Barrera M, Castro FG. A heuristic framework for the cultural adaptation of interventions. Clin Psychol Sci Pract. 2006;13(4):311-316. [CrossRef]36,Castro FG, Barrera M, Holleran Steiker LK. Issues and challenges in the design of culturally adapted evidence-based interventions. Annu Rev Clin Psychol. 2010;6(213-239):213-239. [CrossRef] [Medline]37]: (1) information gathering, (2) preliminary adaptation design, (3) preliminary adaptation tests, and (4) adaptation refinement. We approached each step in a community-engaged way [Balls-Berry JE, Acosta-Pérez E. The use of community engaged research principles to improve health: community academic partnerships for research. P R Health Sci J. Jun 2017;36(2):84-85. [Medline]35] and considered several cultural dimensions underscored by Bernal et al [Bernal G, Bonilla J, Bellido C. Ecological validity and cultural sensitivity for outcome research: issues for the cultural adaptation and development of psychosocial treatments with Hispanics. J Abnorm Child Psychol. Feb 1995;23(1):67-82. [CrossRef] [Medline]38] (eg, language, study team members from similar cultural backgrounds, incorporating cultural values and activities).

Information Gathering

We reviewed the literature for existing PA interventions developed for older Hispanic adults and convened a CAB comprised of members of the target population. The CAB was carefully crafted to represent middle-aged and older Hispanic adults with individuals from different sociodemographic backgrounds. The CAB was comprised of 8 members from different countries, all bicultural and some bilingual (with several monolingual Spanish speakers). One of the members is a PhD-level scientist with years of experience developing PA interventions for older Hispanic adults, 4 members are community health workers (promotores de salud) working with Hispanic older adults and Hispanic organizations, 1 member is involved in public health and has extensive experience working with the Hispanic community, another member has expertise in linguistics, and 1 member is a community-dwelling retired bicultural adult. Furthermore, the De Pie y a Movernos study team, which provided further feedback about translations, materials, and cultural relevance, was comprised of bilingual and bicultural faculty (PhD-level) and staff (graduate students, research assistants, and a community health worker) from Chile, Mexico, and Colombia.

Preliminary Adaptation Design

Based on findings and input from the information-gathering phase, we customized recruitment strategies and materials for the Hispanic community. The CAB met with the study team prior to conducting the pre-post pilot intervention, and all members of the CAB were offered a Fitbit Inspire 2 so they may provide feedback regarding the use and acceptability of the Fitbit as an intervention tool. The CAB helped the study team develop the study name and logo, review recruitment flyers/brochures, devise a suitable recruitment strategy, and review other participant-facing materials to ensure they were relevant to the Hispanic population.

Preliminary Adaptation Tests

We conducted a 3-week pre-post pilot study of the De Pie y a Movernos intervention designed and preliminarily adapted following the steps described above. Details of the pilot study design are outlined in the following section, “Intervention Pilot Study.”

Adaptation Refinement

Following the pre-post pilot study, we assessed feasibility and acceptability using a mixed methods approach through follow-up surveys, analysis of pilot intervention study data, and 2 focus groups with all pilot participants focused on gathering feedback about the intervention. We additionally conducted a debrief meeting with the CAB where these findings were presented, and additional adaptation feedback was shared with the study team. Details on feasibility and acceptability assessment, including focus group and qualitative analysis methods, can be found in the “Feasibility and Acceptability Measures” section.

Intervention Pilot Study

Overview

All participants were recruited between March 21, 2023, and May 26, 2023, from the San Diego County community and surrounding regions in Southern California following recommendations from the CAB. The members of the CAB provided ideas of places that could be targeted and input regarding the study pamphlet and flyers. Community outreach was conducted via our trained promotora de investigación (community research worker), who has established relationships with several community partners, agencies, and other community health worker networks that are knowledgeable of the Hispanic community of San Diego County. Our community research worker attended events such as health fairs and education sessions at community centers which are organized by several community organizations. During these community-facing events, the study community research worker recruited participants directly from the community.

Inclusion and Exclusion Criteria

Individuals ages 55‐89 years who self-identified as Hispanic and who were able to have a phone conversation, able to walk 1 block unassisted, had no planned surgeries or travel that would interfere with participation for their 6 weeks in the study, were able to speak and read Spanish or English, were willing to wear a Fitbit and activPAL accelerometer, and had a smartphone were eligible to participate. Individuals who self-reported more than 90 minutes per week of PA, less than 6 hours per day sitting, employment in a physically active or standing job, a fall that resulted in hospitalization in the past year, having been told by a doctor they should not engage in PA, a new cancer diagnosis in the past year, or a myocardial infarction or arrhythmia in the past year were excluded. Additionally, individuals were ineligible if they scored ≤4 on the 6-item screener [Callahan CM, Unverzagt FW, Hui SL, Perkins AJ, Hendrie HC. Six-item screener to identify cognitive impairment among potential subjects for clinical research. Med Care. Sep 2002;40(9):771-781. [CrossRef] [Medline]39] administered by study staff at the initial screening call. Those who self-reported having a dementia diagnosis were also excluded.

Intervention Design

The pilot intervention was based on social cognitive theory and habit formation theory [Bandura A. A social cognitive perspective on positive psychology. Int J Soc Psychol. Jan 2011;26(1):7-20. [CrossRef]40,Gardner B, Lally P, Wardle J. Making health habitual: the psychology of “habit-formation” and general practice. Br J Gen Pract. Dec 2012;62(605):664-666. [CrossRef] [Medline]41] and targeted the promotion of self-efficacy (gradually building behavior from sitting less and moving more to staying fit), habit strength (creating strong connections between existing daily habits and new PA behaviors), social support (finding a “buddy” to help achieve PA goals and increase accountability), and enjoyment of PA (finding individualized activities that are enjoyable for each participant to sustain adherence). To support these mechanisms, this pilot used a modified “staircase approach” [Dogra S, Copeland JL, Altenburg TM, Heyland DK, Owen N, Dunstan DW. Start with reducing sedentary behavior: a stepwise approach to physical activity counseling in clinical practice. Patient Educ Couns. Jun 2022;105(6):1353-1361. [CrossRef] [Medline]42] as seen in Figure 2. Step 1 involved focusing on sitting less and moving more throughout the day. Once participants felt ready, they could move to step 2, which encouraged structured moderate-intensity PA. Additionally, participants received a Fitbit Inspire 2 to help them track their progress and to inform goal setting. All participant Fitbits were connected to the Fitabase platform, a research-focused data management platform for Fitbit and other wearable devices [Fitabase FAQ. Fitabase. URL: https://www.fitabase.com/how-it-works/faq/ [Accessed 2024-04-15] 43], which allowed the health coach to access participant data to inform coaching and goal setting. The abbreviated intervention was administered over 3 weeks and consisted of a tech check-in call, where the coach provided technical assistance with the Fitbit device and Fitabase connection, and 2 coaching sessions focused on reviewing study workbook content and setting progressive step 1 and, if the participant was ready, step 2 goals.

Figure 2. Conceptual model to help participants gradually move toward moderate intensity activity by sitting less and moving more throughout the day. This conceptual model guided the intervention coaching calls, which were individualized for each participant.
Health Screening

Based on guidance from the project’s safety officer, who is a practicing physician, participants were screened for safety to engage in PA using the Exercise and Screening for You screening tool [Chodzko-Zajko WJ, Resnick B, Ory MG. Beyond screening: tailoring physical activity options with the EASY tool. Transl Behav Med. Jun 2012;2(2):244-248. [CrossRef] [Medline]44]. Only participants who answered “no” to all items were allowed to set goals for step 2 (keeping fit; see Figure 2). Participants who answered “yes” to any of the questions were encouraged to set step 1 goals only.

Ethical Considerations

This study was reviewed and approved by the Kaiser Permanente - Interregional Institutional Review Board (IRB) as the IRB of record. The IRB at the University of California, San Diego, relied on the IRB of record (UCSD IRB: #806367; KPiIRB #1987547-1). Because this study was carried out via telephone, the IRB approved a waiver of signed informed consent. All participants received a study information sheet via mail or email which was discussed with study staff via telephone. After a full explanation of all study procedures and allowing plenty of time for participants to ask questions about the study, participants provided verbal consent to formally enroll in the study. All data were kept confidential and used only for study purposes. All participants were assigned a study ID for the data being collected. All identifiable data, such as contact information, were safely stored using Research Electronic Data Capture (REDCap) managed by Kaiser Permanente Washington Health Research Institute. REDCap is a password-protected and Health Insurance Portability and Accountability Actcompliant platform heavily used in research. As compensation for their participation in the pre-post intervention pilot study, participants received US $40 in cash. Additionally, they received US $50 for completing the follow-up focus group and kept the Fitbit Inspire 2 band (approximately US $100 in value).

Feasibility and Acceptability Measures

We used a mixed methods approach to assess feasibility and acceptability and to inform needed refinements of the culturally adapted intervention program. Below we detail both the qualitative and quantitative methods we used in this study.

Qualitative Measures and Analysis

Qualitative feedback on program acceptability and adaptations needed were collected via focus group with participants who completed the pre-post pilot intervention. All pilot intervention participants were invited to participate in a focus group discussion as part of their overall study participation. After completing the intervention, participants confirmed their interest in attending the focus group session during their final measurement phone call. Based on extensive input from all members of the study team, we developed a semistructured focus group discussion guide, a written document that included key questions and possible prompts. To inform ongoing cultural adaptation and refinement, our goal in this discussion was to elicit feedback about participant experiences with the De Pie y a Movernos pilot intervention program and how it resonated with their lives. Discussion topics included (1) aspects of the intervention or study measurement activities participants most enjoyed, (2) parts of the intervention or measurements participants disliked or would change, (3) reactions to completing study activities remotely by phone, (4) interest in and comfort with using video platforms for study activities, (5) barriers to participating in the intervention or study measurement activities, (6) types of physical activity participants most enjoy and resonate with, (7) reactions to the stair step structure (Figure 2) of the intervention, and (8) participants motivators to participate in the study. The final discussion guide is available in

Multimedia Appendix 1

Final focus group discussion questions.

DOCX File, 164 KBMultimedia Appendix 1.

Two study team members (ZZZ and SF-A) cofacilitated two 2-hour digital focus group sessions using the Zoom platform. ZZZ was a multiple principal investigator on the study and a bilingual Hispanic woman from Chile, trained in neuropsychology (PhD). SF-A was the primary measurement staff member and bilingual Hispanic woman from Colombia, trained in psychology and health services research. Based on participant preference, both focus groups were conducted in Spanish, though a separate English session was offered. Two additional study team members observed each focus group discussion, and team members kept informal notes during the focus group discussion to inform team debrief discussions.

Thematic analysis followed the recursive process outlined by Braun and Clarke [Braun V, Clarke V. Using thematic analysis in psychology. Qual Res Psychol. Jan 2006;3(2):77-101. [CrossRef]45,Clarke V, Braun V. Teaching thematic analysis: overcoming challenges and developing strategies for effective learning. Psychologist. 2013;26(2). URL: https:/​/uwe-repository.​worktribe.com/​output/​937596/​teaching-thematic-analysis-overcoming-challenges-and-developing-strategies-for-effective-learning [Accessed 2025-03-10] 46], which consists of six key steps: (1) familiarization with the data, (2) code generation, (3) constructing themes from related codes, (4) reviewing and refining themes, (5) describing each theme, and (6) writing an analytic narrative. Two team members, bilingual in Spanish and English, reviewed translated transcripts along with audio recordings to ensure retained meaning. Each member of a 3-person coding team (the Hispanic woman from Colombia described earlier [SF-A], a Hispanic man from Mexico trained in medicine [LML], and a non-Hispanic woman from the United States [MAG-H] trained in anthropology and public health) carefully reviewed translated transcripts and independently coded each transcript (step 1). Using a primarily deductive approach to thematic analysis [Braun V, Clarke V. Using thematic analysis in psychology. Qual Res Psychol. Jan 2006;3(2):77-101. [CrossRef]45,Boyatzis RE. Transforming Qualitative Information: Thematic Analysis and Code Development. SAGE; 1998. ISBN: 978076190961347], we developed an initial code list informed by focus group questions. Codes were iteratively refined during coding and reconciliation by the coding team (final codebook available in

Multimedia Appendix 2

Final qualitative codebook.

DOCX File, 15 KBMultimedia Appendix 2). After 1 round of independent coding, the coders met to reconcile discrepancies, refine code definitions, and assign final codes (step 2). Data from each code were reviewed, and themes were collaboratively constructed and refined by the coding team (steps 3 and 4). Final themes were each summarized along with supporting quotations in a summary table, and a summary of findings was presented to the larger study team and CAB (steps 5 and 6). Due to the small volume of data, qualitative coding was managed using the comment and search functions in Microsoft Word. We followed the Consolidated Criteria for Reporting Qualitative Research (COREQ) guidelines for reporting our qualitative methods and findings [Tong A, Sainsbury P, Craig J. Consolidated Criteria for Reporting Qualitative Research (COREQ): a 32-item checklist for interviews and focus groups. Int J Qual Health Care. Dec 2007;19(6):349-357. [CrossRef] [Medline]48].

Quantitative Measures
Overview

We developed a study satisfaction survey in-house to obtain quantitative data related to participant’s opinions of the pre-post pilot intervention. The satisfaction survey was collected at the end of the study and before the focus groups. All questions were scored on a Likert-type scale from 1=strongly disagree to 5=strongly agree, and covered satisfaction with study logistics (phone contacts and alternative contact modes), study measurement devices (Fitbit Inspire 2 and activPAL), measurement procedures, clarity of study materials, and the intervention’s relevance to participants’ lives. Example questions included (1) “Overall, I liked the study and found it helpful,” (2) “The Fitbit device was helpful and easy to use,” and (3) “I liked that I didn’t have to travel anywhere for study activities and could participate by phone and mail.” The complete satisfaction survey is available in

Multimedia Appendix 3

Study satisfaction survey.

PDF File, 107 KBMultimedia Appendix 3. For each item, an average score ≥3 (neutral, agree, or strongly agree) was the threshold for acceptability.

Feasibility

The recruitment rate was defined as the total number of participants recruited divided by the total number of months the trial was actively recruiting. The enrollment rate was defined as the number of enrolled participants divided by the number of prescreened participants x 100. Completion rate was defined as the number of participants who completed the intervention divided by the number of participants who enrolled in the intervention x 100. Furthermore, to assess the feasibility of collecting key measures of interest in our target population, we collected a full measurement battery (objective neurocognitive testing, accelerometer assessment, and mechanisms of adherence) from all pilot participants at the baseline session and after the intervention was completed. Successful completion of these measures was considered an indicator of feasibility. We present descriptive statistics to demonstrate the successful collection and completion of these assessments. We hypothesized that any change in these measures would trend toward increased PA, promotion of mechanisms of adherence, and maintenance of cognition. However, we did not expect significant intervention effects on these outcomes of interest in the abbreviated 3-week pre-post pilot intervention period.

PA Assessment

We collected activPAL accelerometer data at baseline only to test the feasibility of deploying research-grade accelerometers in the community. The activPAL is a very small and lightweight inclinometer [PAL family. activPAL. URL: https://www.palt.com/pals/ [Accessed 2024-04-15] 49], which is waterproofed in a plastic casing and adhered to participants’ thighs using medical-grade adhesive. To facilitate the appropriate application and wearing of the activPAL, study staff checked in with participants and provided guidance during the tech call described previously. activPAL is valid for measuring steps and sitting time [Kozey-Keadle S, Libertine A, Lyden K, Staudenmayer J, Freedson PS. Validation of wearable monitors for assessing sedentary behavior. Med Sci Sports Exerc. Aug 2011;43(8):1561-1567. [CrossRef] [Medline]50,Lyden K, Keadle SK, Staudenmayer J, Freedson PS. The activPAL™ accurately classifies activity intensity categories in healthy adults. Med Sci Sports Exerc. May 2017;49(5):1022-1028. [CrossRef] [Medline]51] and has been used in studies with Hispanic populations [Takemoto M, Schechtman M, Villa N, et al. Arriba por la Vida Estudio (AVE): study protocol for a standing intervention targeting postmenopausal Latinas. Contemp Clin Trials. Apr 2019;79:66-72. [CrossRef] [Medline]52]. Participants wore the device for 7 days and kept a sleep log. Data were processed in PALanalysis using activPAL’s VANE algorithm to estimate daily steps, standing time (minutes/day), stepping time (minutes/day) and sit-to-stand transitions averaged over the number of wear days.

Additionally, data from each participant’s Fitbit Inspire 2 were extracted using the “Daily Activities” file from the Fitabase platform. Average daily steps, lightly active minutes, fairly or very active minutes, and sedentary minutes were calculated across all days in the first week after their completed tech call (baseline) and during week 6 after the coaching call (post intervention). Because we had access only to daily summary-level Fitbit data, it was not possible to identify and remove individual periods of device nonwear. To approximate this using the available summary data, the accumulation of fewer than 500 recorded steps in a calendar day was considered an indication that the device was not worn for a significant portion of the day. In these instances, the summary data from that day were considered invalid and removed from the analytic sample. Notably, the Fitbit was provided to participants after their baseline activPAL wear. Therefore, due to differences in when participants received and were instructed to wear each device, the summarized baseline data for the Fitbit did not align with the week of baseline activPAL wear, and the 2 summaries should not be directly compared.

Mechanisms of Adherence

Hypothesized mechanisms of adherence were measured at baseline and postintervention via REDCap electronic survey unless participants requested the materials be mailed to them. All mechanisms of adherence were assessed with scales that have validated and comparable Spanish and English versions [Walker TJ, Heredia NI, Reininger BM. Examining the validity, reliability, and measurement invariance of the Social Support for Exercise Scale among Spanish- and English-language Hispanics. Hisp J Behav Sci. Aug 2019;41(3):427-443. [CrossRef] [Medline]53-Moreno JA, González-Cutre D, Martínez C, Alonso N, López M. Propiedades psicométricas de la Physical Activity Enjoyment Scale (PACES) en el contexto español [Article in Spanish]. Estudios de Psicología. Jan 2008;29(2):173-180. [CrossRef]56] and were assessed as point-in-time measures that reflect the individual’s state at the time of assessment. All assessments were conducted in the participant’s language of preference. The Self-Efficacy for PA questionnaire is a 5-item scale (1=not confident and 5=extremely confident) that assesses confidence for engaging in PA in different contexts [Mendoza-Vasconez AS, Marquez B, Benitez TJ, Marcus BH. Psychometrics of the self-efficacy for physical activity scale among a Latina women sample. BMC Public Health. Sep 5, 2018;18(1):1097. [CrossRef] [Medline]54]. The Self-Report Habit Index is a 12-item index that assesses habit-building strength on a scale from 1 to 5 (1=never and 5=always) [Gutiérrez-Sánchez A, Pino-Juste M. Psychometric validation of the Spanish version of the scale properties Self-Report Habit Index (SRHI) measuring physical exercise habits. Rev Esp Salud Publica. Aug 2011;85(4):363-371. [CrossRef] [Medline]55]. The Social Support for Exercise Scale has 3 subscales that assess support from family (10 items) and friends (10 items), and family rewards or punishments (3 items) around engaging in PA with responses ranging from 1=none to 5=very often [Walker TJ, Heredia NI, Reininger BM. Examining the validity, reliability, and measurement invariance of the Social Support for Exercise Scale among Spanish- and English-language Hispanics. Hisp J Behav Sci. Aug 2019;41(3):427-443. [CrossRef] [Medline]53]. The Physical Activity Enjoyment Scale consists of 16 items (1=totally disagree and 5=totally agree) that measure the enjoyment of PA [Moreno JA, González-Cutre D, Martínez C, Alonso N, López M. Propiedades psicométricas de la Physical Activity Enjoyment Scale (PACES) en el contexto español [Article in Spanish]. Estudios de Psicología. Jan 2008;29(2):173-180. [CrossRef]56].

Objective Neurocognition

Objective neurocognition was measured via telephone with the following subtests from the National Alzheimer’s Coordinating Center Uniform Data Set version 3 neuropsychological assessment [Weintraub S, Besser L, Dodge HH, et al. Version 3 of the Alzheimer Disease Centers’ neuropsychological test battery in the Uniform Data Set (UDS). Alzheimer Dis Assoc Disord. 2018;32(1):10-17. [CrossRef] [Medline]57]: Craft story 21 Immediate and Delayed Recall, Number Span, Category Fluency, and Phonemic Verbal Fluency. The Uniform Data Set was translated into Spanish with cultural relevance in mind and linguistic equivalence to the English versions [Acevedo A, Krueger KR, Navarro E, et al. The Spanish translation and adaptation of the Uniform Data Set of the National Institute on Aging Alzheimer’s Disease Centers. Alzheimer Dis Assoc Disord. 2009;23(2):102-109. [CrossRef] [Medline]58]. We also collected the Brief-Spanish English Verbal Learning Test as a detailed measure of verbal episodic memory available in English and Spanish [Breton J, Stickel AM, Tarraf W, et al. Normative data for the Brief Spanish-English Verbal Learning Test for representative and diverse Hispanics/Latinos: results from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). Alzheimers Dement (Amst). 2021;13(1):e12260. [CrossRef] [Medline]59].


Participant Characteristics

A total of 20 participants expressed interest in the study and scheduled a screening call. Four individuals declined participation prior to screening, 5 were determined ineligible for screening, and 1 completed screening but withdrew prior to baseline assessment. Participants were between the ages of 55 and 70 years, 90% (n=9) were women, 90% preferred Spanish (n=9), and they had a mean education of 11.8 (SD 3.8) years (Table 1).

Table 1. Pre-post pilot participant characteristics (N=10).
CharacteristicsValues
Age (years)
Mean (SD)62.7 (5.3)
Range55‐70
Sex (female), n (%)9 (90)
Education (years)a
Mean (SD)11.8 (3.8)
Range6‐17
Racea, n (%)
White or Caucasian5 (50)
Other1 (10)
More than 1 race3 (30)
Employment statusa, n (%)
Retired4 (40)
Employed part-time1 (10)
Self-employed part-time1 (10)
Other3 (30)
Marital status, n (%)
Married6 (60)
Divorced1 (10)
Separated2 (20)
Widowed1 (10)
Ethnic identity (multiple categories permitted), n (%)
Hispanic or Latina10 (100)
Mexican or Mexican American9 (90)
No origin shared1 (10)
Diabetes, n (%)4 (40)
Hypertension, n (%)4 (40)
High cholesterola, n (%)5 (50)
Fall in the last 12 months, n (%)1 (10)
Smoking, n (%)
Ever smoked4 (40)
Current Smoker0 (0)

aSome values are missing from the participant characteristics table due to participant nonresponse: education (n=2); race (n=1); employment status (n=1), and high cholesterol (n=1). All health indicators are based on participant self-report during the baseline screening phone call.

Qualitative Measures Findings

Overview

A total of 9 out of 10 participants who completed the De Pie y a Movernos pilot study participated in a focus group session in July 2023 (session 1: n=2; session 2: n=7). Only 1 participant did not attend due to scheduling conflicts. Below, we summarize the key participant feedback and themes that arose in the group discussion. A summary table of key themes and feedback, along with supporting quotations, can be found in

Multimedia Appendix 4

Summary of key themes and pilot program feedback from participant focus groups.

PDF File, 295 KBMultimedia Appendix 4.

PA Devices

Participants found that using the Fitbit Inspire 2 was informative, motivating, easy, and enjoyable, with some challenges associated with setting it up, skin irritation, and connection difficulties. Having available tech support phone calls was identified as helpful. The participants identified that having instructional videos for the Fitbit would be helpful. Regarding the activPAL, many participants thought that it was easy to wear, whereas others identified that the device did not work as intended (did not record their data) and that it irritated the skin. There was confusion about whether the activPAL was continuously recording and sending data to the study team.

Study Materials

Study materials were found to be relevant and helpful. Participants thought the materials made program goals clear and easy to connect with. However, participants suggested that our materials could be more organized with a clear order for the participants to follow seamlessly. They also described that it would be helpful to present the same information in multiple learning formats to accommodate varying learning styles (eg, narrative and pictures or videos). Participants liked getting to know the study team through the printed biographies and photographs provided to them (which were mailed or emailed to them before their baseline session). Participants wanted more information about cognitive health broadly and its relationship with PA.

Study Activities

Participants expressed that the health coaching calls were helpful in setting goals, generating ideas, breaking down content into achievable units, and allowing them to ask questions and receive support. They also identified that the coaching calls were helpful in providing accountability and follow-up on their goals. Participants were satisfied with the amount and content of communication with the study team. They expressed that the communications with the study team made it clear that they cared about the Hispanic culture and provided support, and some participants appreciated that the program was carried out via telephone as a low-tech option that is accessible to them. Some participants expressed the desire for videoconferencing options for the coaching calls and other aspects of the study. Furthermore, there was a strong desire for more in-person opportunities to connect with the community and meet other study participants.

Program Structure and Purpose

The goal of the program to develop interventions to reduce the risk of ADRD in Hispanics resonated with participants. This made them feel appreciated as members of the Hispanic community. Moreover, they found that this focus on ADRD risk reduction in Hispanics was important to the Hispanic community. They appreciated that the program was available in Spanish and that the team members were bilingual or bicultural and well acquainted with the Hispanic culture.

Barriers and Facilitators to PA

While focus group discussion focused primarily on feedback on the study materials, tools and procedures, barriers and facilitators to PA engagement surfaced incidentally during discussion. These are summarized along with supporting quotations in

Multimedia Appendix 4

Summary of key themes and pilot program feedback from participant focus groups.

PDF File, 295 KBMultimedia Appendix 4. However, because we did not design our sampling framework or discussion guide to explore these topics, it is probable that additional barriers and facilitators exist for this community that were not discussed. Overall, reported barriers to PA, in general, included a lack of awareness about its health benefits, low self-efficacy, health and weather issues, lack of enjoyment, insufficient social support, ingrained sedentary habits, finding the Fitbit annoying or troublesome, and limited time availability. Facilitators of PA engagement in general included increased awareness of its cognitive and physical health benefits, a sense of accountability through study monitoring, improved self-efficacy in one’s ability to be active, and the need for self-care. Enjoyment of activities, social support from friends or family, habit formation, positive experiences with Fitbit, and perceived improvements in physical and mental health were also discussed as facilitators of PA engagement.

Quantitative Measures Findings

Acceptability

The satisfaction survey was completed by 7 participants. Figure 3 shows the participant endorsement of each survey item (all items included in the satisfaction survey are listed on the y-axis of Figure 3). The threshold of acceptability was met for all items (scores≥3) and the average score was 4.6 (SD 0.3). The score for the survey item “There were too many phone calls” (

Multimedia Appendix 3

Study satisfaction survey.

PDF File, 107 KBMultimedia Appendix 3) was reversed and renamed since it was the only item for which a higher score would indicate less acceptability. In Figure 3, the reversed and renamed item is listed as: “The number of phone calls was acceptable.”

Figure 3. Participant satisfaction survey. Responses to the satisfaction survey are based on feedback from 7 participants. There was missingness from participant nonresponse on the following items: activPAL satisfaction (n=1) and materials were meaningful (n=1). Error bars denote the SD. The vertical red line indicates the threshold score (mean=3) for an item to be considered acceptable to participants.
Feasibility

A total of 10 out of 20 prescreened Hispanic adults were eligible and consented to participate, yielding an enrollment rate of 50%. Recruitment took place between March 21, 2023, and May 26, 2023, yielding a recruitment rate of 5 participants per month. All participants who enrolled in the intervention completed the 3-week intervention, leading to a completion rate of 100%. All participants who completed a baseline assessment also completed the follow-up assessment (some missing items as per Table 2). We successfully obtained questionnaire data via REDCap survey or via mail from all 10 participants (9 in Spanish and 1 in English). We also successfully carried out telephone coaching calls without any complaints of hearing difficulties. Seven out of 10 participants were able to successfully complete the baseline activPAL measurement and return valid data. Missing activPAL data were due to device failure (n=1), mail loss (n=1), and participant nonwear (n=1). All participants were able to successfully install the Fitbit app on their smartphones and link their accounts to the Fitabase platform for the health coach to access the Fitbit data. Some participants needed substantial technology support from study staff and technology-savvy family members to set up their accounts, but they were all able to successfully complete this step. Table 2 shows a summary of pre-post means and SDs from the measures we collected at each assessment session. Although we did not expect any changes in our measures of interest given the short pilot intervention of 3 weeks, mean scores trended toward improvement for most neurocognitive tests, enjoyment of PA, social support for exercise, habit strength, and self-efficacy scores increased from pre- to postintervention (not tested for statistical significance given the focus on feasibility metrics and not effectiveness).

Table 2. Descriptive statistics for all the measures of interest (N=10). All measures were collected at baseline and postintervention (after 3 weeks), except for the activPAL which was only collected at baseline. These measures were not collected to determine efficacy of the intervention but rather to establish the feasibility of completing these assessments for a planned stage II randomized controlled trial.a
Baseline, mean (SD)Postintervention, mean (SD)
Fitbit metrics
Steps/day7872 (3723)6932 (2531)
Lightly active minutes/day267 (125)245 (90)
Fairly or very active minutes/day275 (128)250 (90)
Sedentary minutes/day747 (340)804 (237)
activPAL measuresb
Steps/day5184 (1379)c
Standing time (min/day)319.5 (155.5)
Stepping time (min/day)71.1 (20.4)
Sit-to-stand transitions46 (8)
Mechanisms of adherence
Physical activity enjoymentd60.0 (15.2)69.7 (9.7)
Social support for exercisee18.5 (7.7)26.8 (9.4)
Habit strengthf2.3 (0.5)2.9 (0.3)
Self-efficacy for physical activityg8.4 (2.5)12.2 (3.8)
Objective neurocognition (National Alzheimer’s Coordinating Center Uniform Data Set version 3)
Craft Story 21 Recall Immediate – Verbatimh15.7 (6.4)20.9 (8.8)
Craft Story 21 Recall Immediate – Paraphrasei6.3 (5.3)5.4 (2.4)
Craft Story 21 Recall Delay – Verbatimh13.8 (6.4)18.8 (9.6)
Craft Story 21 Recall Delay – Paraphrasei7.1 (5.1)6.2 (3.0)
Verbal Fluency Total F and L words (P and M in Spanish)j20.1 (4.8)23.1 (8.4)
Animalsj19.0 (4.8)19.3 (4.7)
Vegetablesj12.8 (4.2)14.8 (3.5)
Number span test forward total correct sequencesk5.5 (2.0)6.1 (1.9)
Number span test backward total correct sequencesk5.2 (1.5)6.3 (1.3)
B-SEVLT trial 1l7.7 (2.9)9.1 (1.9)
B-SEVLT trial 2l10.0 (2.4)11.7 (1.9)
B-SEVLT trial 3l11.7 (1.7)13.0 (1.4)
B-SEVLT recalll10.0 (2.6)12.2 (2.6)

aData missing due to participant nonresponse for the following items: baseline—physical activity enjoyment (n=2); postintervention—physical activity enjoyment (n=1), social support for exercise (n=2), self-efficacy for physical activity (n=1), and physical activity habit strength (n=1).

bBased on 7 participants who completed an activPAL wear with at least 6 days of valid data. Collected only at baseline.

cNot applicable.

dRange 16‐80, higher scores indicate more enjoyment of physical activity.

eRange 10‐50, higher scores indicate more social support for exercise from friends and family.

fRange 1‐5, higher scores indicate stronger habit strength for physical activity.

gRange 5‐25, higher scores indicate higher self-efficacy for physical activity.

hRange 0‐44, higher scores indicate more story information was recalled verbatim.

iRange 0‐25, higher scores indicate more story information was recalled while paraphrasing.

jScore represents the number of correct items provided within 1 minute for each letter and category. Higher numbers indicate greater verbal fluency.

kRange 0‐14, higher scores indicate better performance

lB-SEVLT: Brief Spanish-English Verbal Learning Test; range 0‐15 for each trial.


We successfully developed and culturally adapted the De Pie y a Movernos intervention, based on established theoretical frameworks and using community-engaged strategies to determine feasibility and acceptability outcomes from a brief pre-post pilot intervention with 10 Hispanic older adults. Both qualitative and quantitative data indicated that the De Pie y a Movernos intervention was feasible and acceptable to participants. Regarding feasibility, there was a completion rate of 100%, an enrollment rate of 50%, and a recruitment rate of 5 participants per month. Acceptability criteria were well exceeded (mean 4.6, SD 0.3), with all participants rating the intervention as satisfactory (defined as scores≥3 on the satisfaction survey). Qualitative analyses indicated that participants overall had high satisfaction with the intervention. They expressed a preference for adding group-based activities and increased interaction with study staff. Some of the key barriers to performing PA generally included time constraints, health conditions, and weather, while facilitators included awareness of PA’s cognitive benefits, social support from family or friends, accountability, enjoyable activities, self-efficacy, and Fitbit use.

Many elements of the study were well-liked by participants and will be kept in the next iteration, while some adaptations will be made to the next iteration based on feedback from the CAB and participants. These include new training videos (in English and Spanish) about how to set up technologies used in the study like the Fitbit, which will be shared via text message or email (depending on preference). Since older Hispanic adults may face challenges in adopting some technologies due to limited access, digital literacy, and language barriers [Dolan HR, Alvarez AA, Freylersythe SJ, et al. Barriers and facilitators for adopting a healthy lifestyle among Latina cancer survivors: a qualitative descriptive study. Support Care Cancer. Mar 2022;30(3):2649-2659. [CrossRef] [Medline]60,Philpot LM LM, Ramar P, Roellinger DL, McIntee MA, Ebbert JO. Digital health literacy and use of patient portals among Spanish-preferred patients in the United States: a cross-sectional assessment. Front Public Health. 12. URL: https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2024.1455395/full [CrossRef]61], we will also encourage participants to seek help from a loved one or family member (partner, children, friends, and caregivers) to help them set up their Fitbit prior to reaching out to the study team for further assistance. Having a loved one support the technological aspects of the study, while the team provides layers of support, from written instructions to instructional videos in the participant’s language of preference, should help reduce the technological barriers related to using the Fitbit.

Participants also reported wanting more contact with the other study participants as a group. Group sessions were not feasible because this study was designed to be fully remote to reduce transportation barriers (ie, lack of access to reliable transportation or long distances to research facilities) that are commonly faced by the Hispanic community [Arevalo M, Heredia NI, Krasny S, et al. Mexican-American perspectives on participation in clinical trials: a qualitative study. Contemp Clin Trials Commun. Dec 15, 2016;4(52-57):52-57. [CrossRef] [Medline]62,Hildebrand JA, Billimek J, Olshansky EF, Sorkin DH, Lee JA, Evangelista LS. Facilitators and barriers to research participation: perspectives of Latinos with type 2 diabetes. Eur J Cardiovasc Nurs. Dec 2018;17(8):737-741. [CrossRef]63], which limit their ability to participate in clinical research [Aranda MP, Marquez DX, Gallagher-Thompson D, et al. A call to address structural barriers to Hispanic/Latino representation in clinical trials on Alzheimer’s disease and related dementias: a micro-meso-macro perspective. Alzheimers Dement (N Y). 2023;9(2):e12389. [CrossRef] [Medline]64], exacerbating health disparities [Bodicoat DH, Routen AC, Willis A, et al. Promoting inclusion in clinical trials-a rapid review of the literature and recommendations for action. Trials. Dec 4, 2021;22(1):880. [CrossRef] [Medline]65,Marquez DX, Perez A, Johnson JK, et al. Increasing engagement of Hispanics/Latinos in clinical trials on Alzheimer’s disease and related dementias. Alzheimers Dement (N Y). 2022;8(1):e12331. [CrossRef] [Medline]66]. The remote format rather than a group setting is also more conducive to accommodating the individualized approach to health coaching that has been successful in our previous research [Yaffe K, Vittinghoff E, Dublin S, et al. Effect of personalized risk-reduction strategies on cognition and dementia risk profile among older adults: the SMARRT randomized clinical trial. JAMA Intern Med. Jan 1, 2024;184(1):54-62. [CrossRef] [Medline]67] and aids in building self-efficacy through gradually sitting less and building toward becoming more physically active. However, to facilitate more group connection in the future iteration of the program, we will provide participants with personalized resources where they can exercise for free, or at low cost with groups of people in their community or neighborhoods. These resources will be shared with participants who value group activity and who need a sense of community during their health coaching calls. Participants also expressed a desire to have some study contacts occur via teleconference platform, which will be accommodated in the larger trial by offering coaching calls via telephone or teleconference. Moreover, the study will create a newsletter that will be sent to all participants regularly highlighting study progress, status, team updates, and finally, the results of the study.

Following Consolidated Standards of Reporting Trials (CONSORT ) 2010 recommendations for pilot and feasibility studies [Eldridge SM, Chan CL, Campbell MJ, et al. CONSORT 2010 statement: extension to randomised pilot and feasibility trials. Pilot Feasibility Stud. 2016;2(1):64. [CrossRef] [Medline]68], we present pre-post data on the proposed outcomes (objectively measured PA via activPAL and Fitbit), potential mechanisms of adherence, and other measures of interest to assess the feasibility of completion (for descriptive purposes). While PA pre- to posttest did not differ based on Fitbit, there was no true baseline period for the Fitbit as people started to use it immediately after receiving it. The activPAL was worn as an indicator of baseline PA and was worn prior to receipt of the Fitbit. We saw improvement in psychosocial mechanisms over the course of the study as well as some neurocognitive outcomes. However, given the small sample size, short duration, and lack of a comparison group, we cannot interpret these findings. As mentioned earlier, these measures were collected to assess the feasibility of completion, not for inferential purposes. The larger stage II trial will investigate the efficacy of the De Pie y a Movernos intervention on increasing PA, mechanisms of adherence, and potential effects on cognitive function.

This study is not without limitations. First, the pre-post pilot intervention was comprised of a small sample size of 10 participants and may not have been fully representative of the target community. Second, the duration of the intervention was short (3 weeks), which does not allow us to test the efficacy of the pilot intervention. That said, the goal of the pilot intervention was not to test efficacy, but rather to aid in the cultural adaptation process and determine the interventions’ feasibility and acceptability to inform a planned stage II trial. Third, the Fitbit and activPal measurement periods were nonoverlapping, thus not allowing for a true comparison between these 2 PA measurement modalities. There are several strengths of this study that should be highlighted. There are few existing studies on culturally adapting PA interventions for brain health in older Hispanics [Marquez DX, Bustamante EE, Aguiñaga S, Hernandez R. BAILAMOS: development, pilot testing, and future directions of a Latin dance program for older Latinos. Health Educ Behav. Oct 2015;42(5):604-610. [CrossRef] [Medline]69]. We involved a diverse CAB comprised of adults from the target population with several occupational and educational backgrounds, a fully bilingual and bicultural staff, and the development of the intervention based on established behavior change theory [Bandura A. A social cognitive perspective on positive psychology. Int J Soc Psychol. Jan 2011;26(1):7-20. [CrossRef]40,Gardner B, Lally P, Wardle J. Making health habitual: the psychology of “habit-formation” and general practice. Br J Gen Pract. Dec 2012;62(605):664-666. [CrossRef] [Medline]41], which has been supported by previous studies conducted by the research team [Yaffe K, Vittinghoff E, Dublin S, et al. Effect of personalized risk-reduction strategies on cognition and dementia risk profile among older adults: the SMARRT randomized clinical trial. JAMA Intern Med. Jan 1, 2024;184(1):54-62. [CrossRef] [Medline]67,Hays Weeks CC, Moore AA, Allison M, et al. The independent walking for brain health intervention for older adults: protocol for a pilot randomized controlled trial. JMIR Res Protoc. 2023;12(1):e42980. [CrossRef]70].

In the development and cultural adaptation of the De Pie y a Movernos intervention, we followed a community-engaged approach which led to a feasible and acceptable intervention with a 100% completion rate in our first iteration. These findings are consistent with previous studies showing good adherence and enjoyment of PA interventions that are culturally adapted and learn from participant feedback in the Hispanic community [Balbim GM, Aguiñaga S, Ajilore OA, et al. The effects of the BAILAMOSTM dance program on physical activity levels and cognition of older Latino adults: a pilot study. J Aging Health. Jan 2022;34(1):25-40. [CrossRef] [Medline]33,Marquez DX, Bustamante EE, Aguiñaga S, Hernandez R. BAILAMOS: development, pilot testing, and future directions of a Latin dance program for older Latinos. Health Educ Behav. Oct 2015;42(5):604-610. [CrossRef] [Medline]69,Aguiñaga S, Marques IG, Kitsiou S, et al. BAILAMOS with mHealth technology! Improving physical activity and well-being in middle-aged and older Latinxs: a pre-post feasibility study. Health Educ Behav. Oct 2021;48(5):575-583. [CrossRef] [Medline]71]. The CAB input was crucial to the development of a recruitment plan and recruitment materials, further highlighting the importance of community engagement in the design of research studies [Persad-Clem R, Ventura LM, Lyons T, et al. Community engagement in behavioral medicine: a scoping review. Int J Behav Med. Dec 2024;31(6):1018-1034. [CrossRef] [Medline]32]. The combination of participants and CAB’s input informed the development of the culturally adapted De Pie y a Movernos intervention to be further tested in a large stage II RCT. The ultimate goal of the larger trial is to help older Hispanic adults increase their PA engagement to preserve their brain health and reduce dementia risk.

In conclusion, the De Pie y a Movernos intervention was deemed feasible and acceptable, meeting the necessary milestones to justify efficacy testing in a larger stage II PA trial. We highlight the importance of including the target community in intervention development from study conception. Using a community-engaged approach and obtaining participant feedback from a small pilot study allowed us to develop a feasible and acceptable intervention that was culturally adapted to address the specific concerns of the Hispanic community. In the next iteration of the study, we will implement the changes highlighted during the focus groups and test the De Pie y a Movernos intervention for efficacy to increase PA while continuing to obtain participant and CAB feedback for further refinement.

Acknowledgments

The authors would like to acknowledge Rosa Gutierrez-Aceves for her recruitment efforts, all the pilot participants for their time and valuable feedback, and the members of the community advisory board (David Márquez, PhD, Cecilia Guzmán, María Martinez, Daisy Parra-Padilla, MPH, José Becerra, Tina Castillo, Deysi Merino González, and Silvia Martinez), all of whom were instrumental in the cultural adaptation process. Research reported in this publication was supported by the National Institute on Aging of the National Institutes of Health under award R61AG077969. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Data Availability

The data generated from the pre-post pilot study are available from the corresponding author upon request.

Authors' Contributions

ZZZ wrote the manuscript and facilitated focus groups. MAG-H provided data for Table 1 and qualitative data expertise. RGA contributed to participant recruitment and screening procedures. JC contributed to project management and overseeing study activities. DXM provided scientific consultation and was a member of the community advisory board. SF-A conducted the focus groups and helped with coding. LML was the health coach and contributed to qualitative coding. APV was part of the evaluation team. ZZZ and DER conceptualized the study aims, obtained funding, and supervised all aspects of the study. All authors reviewed drafts, assisted in writing, and provided review of the final manuscript.

Conflicts of Interest

None declared.

Multimedia Appendix 1

Final focus group discussion questions.

DOCX File, 164 KB

Multimedia Appendix 2

Final qualitative codebook.

DOCX File, 15 KB

Multimedia Appendix 3

Study satisfaction survey.

PDF File, 107 KB

Multimedia Appendix 4

Summary of key themes and pilot program feedback from participant focus groups.

PDF File, 295 KB

  1. Vega WA, Rodriguez MA, Gruskin E. Health disparities in the Latino population. Epidemiol Rev. 2009;31:99-112. [CrossRef] [Medline]
  2. Vega IE, Cabrera LY, Wygant CM, Velez-Ortiz D, Counts SE. Alzheimer’s disease in the Latino community: intersection of genetics and social determinants of health. J Alzheimers Dis. 2017;58(4):979-992. [CrossRef]
  3. McGrath RP, Snih SA, Markides KS, et al. The burden of health conditions across race and ethnicity for aging Americans: disability-adjusted life years. Medicine (Baltimore). Nov 2019;98(46):e17964. [CrossRef] [Medline]
  4. Stickel A, McKinnon A, Ruiz J, Grilli MD, Ryan L. The impact of cardiovascular risk factors on cognition in Hispanics and non-Hispanic whites. Learn Mem. Jul 2019;26(7):235-244. [CrossRef] [Medline]
  5. Quiroz YT, Solis M, Aranda MP, et al. Addressing the disparities in dementia risk, early detection and care in Latino populations: highlights from the second Latinos & Alzheimer’s Symposium. Alzheimers Dement. Sep 2022;18(9):1677-1686. [CrossRef] [Medline]
  6. Matthews KA, Xu W, Gaglioti AH, et al. Racial and ethnic estimates of Alzheimer’s disease and related dementias in the United States (2015-2060) in adults aged ≥65 years. Alzheimers Dement. Jan 2019;15(1):17-24. [CrossRef] [Medline]
  7. U.S. burden of Alzheimer’s disease, related dementias to double by 2060. Centers for Disease Control and Prevention. URL: https:/​/archive.​cdc.gov/​#/​details?url=https:/​/www.​cdc.gov/​media/​releases/​2018/​p0920-alzheimers-burden-double-2060.​html [Accessed 2025-03-10]
  8. Aguayo-Mazzucato C, Diaque P, Hernandez S, Rosas S, Kostic A, Caballero AE. Understanding the growing epidemic of type 2 diabetes in the Hispanic population living in the United States. Diabetes Metab Res Rev. Feb 2019;35(2):e3097. [CrossRef] [Medline]
  9. Statistics about diabetes. American Diabetes Association. 2023. URL: https://diabetes.org/about-diabetes/statistics/about-diabetes [Accessed 2024-04-15]
  10. National diabetes statistics report 2020: estimates of diabetes and its burden in the united states. Centers for Disease Control and Prevention; 2020. URL: https://www.cdc.gov/diabetes/pdfs/data/statistics/national-diabetes-statistics-report.pdf [Accessed 2025-05-20]
  11. Gomez S, Blumer V, Rodriguez F. Unique cardiovascular disease risk factors in Hispanic individuals. Curr Cardiovasc Risk Rep. 2022;16(7):53-61. [CrossRef] [Medline]
  12. Parker ED, Lin J, Mahoney T, et al. Economic costs of diabetes in the U.S. in 2022. Diabetes Care. Jan 1, 2024;47(1):26-43. [CrossRef] [Medline]
  13. Powell-Wiley TM, Baumer Y, Baah FO, et al. Social determinants of cardiovascular disease. Circ Res. Mar 4, 2022;130(5):782-799. [CrossRef] [Medline]
  14. Daviglus ML, Talavera GA, Avilés-Santa ML, et al. Prevalence of major cardiovascular risk factors and cardiovascular diseases among Hispanic/Latino individuals of diverse backgrounds in the United States. JAMA. Nov 7, 2012;308(17):1775-1784. [CrossRef] [Medline]
  15. Daviglus ML, Pirzada A, Durazo‐Arvizu R, et al. Prevalence of low cardiovascular risk profile among diverse Hispanic/Latino adults in the United States by age, sex, and level of acculturation: the Hispanic Community Health Study/Study of Latinos. JAHA. Aug 8, 2016;5(8). [CrossRef]
  16. Lamar M, Durazo-Arvizu RA, Sachdeva S, et al. Cardiovascular disease risk factor burden and cognition: implications of ethnic diversity within the Hispanic Community Health Study/Study of Latinos. PLoS One. 2019;14(4):e0215378. [CrossRef] [Medline]
  17. Márquez F, Tarraf W, Stickel AM, et al. Hypertension, cognitive decline, and mild cognitive impairment among diverse Hispanics/Latinos: Study of Latinos-Investigation of Neurocognitive Aging Results (SOL-INCA). JAD. 2024;97(3):1449-1461. [CrossRef]
  18. Stickel AM, Tarraf W, Gonzalez KA, et al. Central obesity, cardiometabolic risk, and cognitive change in the study of Latinos: investigation of neurocognitive aging. J Alzheimers Dis. 2021;82(3):1203-1218. [CrossRef] [Medline]
  19. Livingston G, Huntley J, Liu KY, et al. Dementia prevention, intervention, and care: 2024 report of the Lancet Standing Commission. The Lancet. Aug 2024;404(10452):572-628. [CrossRef]
  20. Carson Smith J, Callow DD, Pena GS, et al. Exercise and protection from age-related cognitive decline. Curr Top Behav Neurosci. 2024;67(263-280):263-280. [CrossRef] [Medline]
  21. Augusto-Oliveira M, Arrifano GP, Leal-Nazaré CG, et al. Exercise reshapes the brain: molecular, cellular, and structural changes associated with cognitive improvements. Mol Neurobiol. Dec 2023;60(12):6950-6974. [CrossRef] [Medline]
  22. Boa Sorte Silva NC, Barha CK, Erickson KI, Kramer AF, Liu-Ambrose T. Physical exercise, cognition, and brain health in aging. Trends Neurosci. Jun 2024;47(6):402-417. [CrossRef] [Medline]
  23. Zlatar ZZ, Hays CC, Mestre Z, et al. Dose-dependent association of accelerometer-measured physical activity and sedentary time with brain perfusion in aging. Exp Gerontol. Oct 1, 2019;125(110679):110679. [CrossRef] [Medline]
  24. Nguyen S, LaCroix AZ, Hayden KM, et al. Accelerometer-measured physical activity and sitting with incident mild cognitive impairment or probable dementia among older women. Alzheimers Dement. Jul 2023;19(7):3041-3054. [CrossRef] [Medline]
  25. Iso-Markku P, Kujala UM, Knittle K, Polet J, Vuoksimaa E, Waller K. Physical activity as a protective factor for dementia and Alzheimer’s disease: systematic review, meta-analysis and quality assessment of cohort and case-control studies. Br J Sports Med. Jun 2022;56(12):701-709. [CrossRef] [Medline]
  26. Adult physical inactivity. Centers for Disease Control and Prevention. Nov 20, 2023. URL: https://www.cdc.gov/physicalactivity/data/inactivity-prevalence-maps/index.html [Accessed 2025-05-20]
  27. Bantham A, Taverno Ross SE, Sebastião E, Hall G. Overcoming barriers to physical activity in underserved populations. Prog Cardiovasc Dis. 2021;64:64-71. [CrossRef] [Medline]
  28. Ramirez A. Research: latino communities lack accessible green space. Salud America. May 10, 2019. URL: https://salud-america.org/research-latino-communities-lack-accessible-green-space/ [Accessed 2025-05-20]
  29. Aisenberg E, Dwight-Johnson M, O’Brien M, Ludman EJ, Golinelli D. Building a community-academic partnership: implementing a community-based trial of telephone cognitive behavioral therapy for rural Latinos. Depress Res Treat. 2012;2012:257858. [CrossRef] [Medline]
  30. Cyril S, Smith BJ, Possamai-Inesedy A, Renzaho AMN. Exploring the role of community engagement in improving the health of disadvantaged populations: a systematic review. Glob Health Action. 2015;8(1):29842. [CrossRef] [Medline]
  31. Maafs-Rodríguez A, Folta SC. Effectiveness of theory-based physical activity and nutrition interventions in aging Latino adults: a scoping review. Nutrients. Jun 18, 2023;15(12):2792. [CrossRef] [Medline]
  32. Persad-Clem R, Ventura LM, Lyons T, et al. Community engagement in behavioral medicine: a scoping review. Int J Behav Med. Dec 2024;31(6):1018-1034. [CrossRef] [Medline]
  33. Balbim GM, Aguiñaga S, Ajilore OA, et al. The effects of the BAILAMOSTM dance program on physical activity levels and cognition of older Latino adults: a pilot study. J Aging Health. Jan 2022;34(1):25-40. [CrossRef] [Medline]
  34. Nierkens V, Hartman MA, Nicolaou M, et al. Effectiveness of cultural adaptations of interventions aimed at smoking cessation, diet, and/or physical activity in ethnic minorities: a systematic review. PLoS One. 2013;8(10):e73373. [CrossRef] [Medline]
  35. Balls-Berry JE, Acosta-Pérez E. The use of community engaged research principles to improve health: community academic partnerships for research. P R Health Sci J. Jun 2017;36(2):84-85. [Medline]
  36. Barrera M, Castro FG. A heuristic framework for the cultural adaptation of interventions. Clin Psychol Sci Pract. 2006;13(4):311-316. [CrossRef]
  37. Castro FG, Barrera M, Holleran Steiker LK. Issues and challenges in the design of culturally adapted evidence-based interventions. Annu Rev Clin Psychol. 2010;6(213-239):213-239. [CrossRef] [Medline]
  38. Bernal G, Bonilla J, Bellido C. Ecological validity and cultural sensitivity for outcome research: issues for the cultural adaptation and development of psychosocial treatments with Hispanics. J Abnorm Child Psychol. Feb 1995;23(1):67-82. [CrossRef] [Medline]
  39. Callahan CM, Unverzagt FW, Hui SL, Perkins AJ, Hendrie HC. Six-item screener to identify cognitive impairment among potential subjects for clinical research. Med Care. Sep 2002;40(9):771-781. [CrossRef] [Medline]
  40. Bandura A. A social cognitive perspective on positive psychology. Int J Soc Psychol. Jan 2011;26(1):7-20. [CrossRef]
  41. Gardner B, Lally P, Wardle J. Making health habitual: the psychology of “habit-formation” and general practice. Br J Gen Pract. Dec 2012;62(605):664-666. [CrossRef] [Medline]
  42. Dogra S, Copeland JL, Altenburg TM, Heyland DK, Owen N, Dunstan DW. Start with reducing sedentary behavior: a stepwise approach to physical activity counseling in clinical practice. Patient Educ Couns. Jun 2022;105(6):1353-1361. [CrossRef] [Medline]
  43. Fitabase FAQ. Fitabase. URL: https://www.fitabase.com/how-it-works/faq/ [Accessed 2024-04-15]
  44. Chodzko-Zajko WJ, Resnick B, Ory MG. Beyond screening: tailoring physical activity options with the EASY tool. Transl Behav Med. Jun 2012;2(2):244-248. [CrossRef] [Medline]
  45. Braun V, Clarke V. Using thematic analysis in psychology. Qual Res Psychol. Jan 2006;3(2):77-101. [CrossRef]
  46. Clarke V, Braun V. Teaching thematic analysis: overcoming challenges and developing strategies for effective learning. Psychologist. 2013;26(2). URL: https:/​/uwe-repository.​worktribe.com/​output/​937596/​teaching-thematic-analysis-overcoming-challenges-and-developing-strategies-for-effective-learning [Accessed 2025-03-10]
  47. Boyatzis RE. Transforming Qualitative Information: Thematic Analysis and Code Development. SAGE; 1998. ISBN: 9780761909613
  48. Tong A, Sainsbury P, Craig J. Consolidated Criteria for Reporting Qualitative Research (COREQ): a 32-item checklist for interviews and focus groups. Int J Qual Health Care. Dec 2007;19(6):349-357. [CrossRef] [Medline]
  49. PAL family. activPAL. URL: https://www.palt.com/pals/ [Accessed 2024-04-15]
  50. Kozey-Keadle S, Libertine A, Lyden K, Staudenmayer J, Freedson PS. Validation of wearable monitors for assessing sedentary behavior. Med Sci Sports Exerc. Aug 2011;43(8):1561-1567. [CrossRef] [Medline]
  51. Lyden K, Keadle SK, Staudenmayer J, Freedson PS. The activPAL™ accurately classifies activity intensity categories in healthy adults. Med Sci Sports Exerc. May 2017;49(5):1022-1028. [CrossRef] [Medline]
  52. Takemoto M, Schechtman M, Villa N, et al. Arriba por la Vida Estudio (AVE): study protocol for a standing intervention targeting postmenopausal Latinas. Contemp Clin Trials. Apr 2019;79:66-72. [CrossRef] [Medline]
  53. Walker TJ, Heredia NI, Reininger BM. Examining the validity, reliability, and measurement invariance of the Social Support for Exercise Scale among Spanish- and English-language Hispanics. Hisp J Behav Sci. Aug 2019;41(3):427-443. [CrossRef] [Medline]
  54. Mendoza-Vasconez AS, Marquez B, Benitez TJ, Marcus BH. Psychometrics of the self-efficacy for physical activity scale among a Latina women sample. BMC Public Health. Sep 5, 2018;18(1):1097. [CrossRef] [Medline]
  55. Gutiérrez-Sánchez A, Pino-Juste M. Psychometric validation of the Spanish version of the scale properties Self-Report Habit Index (SRHI) measuring physical exercise habits. Rev Esp Salud Publica. Aug 2011;85(4):363-371. [CrossRef] [Medline]
  56. Moreno JA, González-Cutre D, Martínez C, Alonso N, López M. Propiedades psicométricas de la Physical Activity Enjoyment Scale (PACES) en el contexto español [Article in Spanish]. Estudios de Psicología. Jan 2008;29(2):173-180. [CrossRef]
  57. Weintraub S, Besser L, Dodge HH, et al. Version 3 of the Alzheimer Disease Centers’ neuropsychological test battery in the Uniform Data Set (UDS). Alzheimer Dis Assoc Disord. 2018;32(1):10-17. [CrossRef] [Medline]
  58. Acevedo A, Krueger KR, Navarro E, et al. The Spanish translation and adaptation of the Uniform Data Set of the National Institute on Aging Alzheimer’s Disease Centers. Alzheimer Dis Assoc Disord. 2009;23(2):102-109. [CrossRef] [Medline]
  59. Breton J, Stickel AM, Tarraf W, et al. Normative data for the Brief Spanish-English Verbal Learning Test for representative and diverse Hispanics/Latinos: results from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). Alzheimers Dement (Amst). 2021;13(1):e12260. [CrossRef] [Medline]
  60. Dolan HR, Alvarez AA, Freylersythe SJ, et al. Barriers and facilitators for adopting a healthy lifestyle among Latina cancer survivors: a qualitative descriptive study. Support Care Cancer. Mar 2022;30(3):2649-2659. [CrossRef] [Medline]
  61. Philpot LM LM, Ramar P, Roellinger DL, McIntee MA, Ebbert JO. Digital health literacy and use of patient portals among Spanish-preferred patients in the United States: a cross-sectional assessment. Front Public Health. 12. URL: https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2024.1455395/full [CrossRef]
  62. Arevalo M, Heredia NI, Krasny S, et al. Mexican-American perspectives on participation in clinical trials: a qualitative study. Contemp Clin Trials Commun. Dec 15, 2016;4(52-57):52-57. [CrossRef] [Medline]
  63. Hildebrand JA, Billimek J, Olshansky EF, Sorkin DH, Lee JA, Evangelista LS. Facilitators and barriers to research participation: perspectives of Latinos with type 2 diabetes. Eur J Cardiovasc Nurs. Dec 2018;17(8):737-741. [CrossRef]
  64. Aranda MP, Marquez DX, Gallagher-Thompson D, et al. A call to address structural barriers to Hispanic/Latino representation in clinical trials on Alzheimer’s disease and related dementias: a micro-meso-macro perspective. Alzheimers Dement (N Y). 2023;9(2):e12389. [CrossRef] [Medline]
  65. Bodicoat DH, Routen AC, Willis A, et al. Promoting inclusion in clinical trials-a rapid review of the literature and recommendations for action. Trials. Dec 4, 2021;22(1):880. [CrossRef] [Medline]
  66. Marquez DX, Perez A, Johnson JK, et al. Increasing engagement of Hispanics/Latinos in clinical trials on Alzheimer’s disease and related dementias. Alzheimers Dement (N Y). 2022;8(1):e12331. [CrossRef] [Medline]
  67. Yaffe K, Vittinghoff E, Dublin S, et al. Effect of personalized risk-reduction strategies on cognition and dementia risk profile among older adults: the SMARRT randomized clinical trial. JAMA Intern Med. Jan 1, 2024;184(1):54-62. [CrossRef] [Medline]
  68. Eldridge SM, Chan CL, Campbell MJ, et al. CONSORT 2010 statement: extension to randomised pilot and feasibility trials. Pilot Feasibility Stud. 2016;2(1):64. [CrossRef] [Medline]
  69. Marquez DX, Bustamante EE, Aguiñaga S, Hernandez R. BAILAMOS: development, pilot testing, and future directions of a Latin dance program for older Latinos. Health Educ Behav. Oct 2015;42(5):604-610. [CrossRef] [Medline]
  70. Hays Weeks CC, Moore AA, Allison M, et al. The independent walking for brain health intervention for older adults: protocol for a pilot randomized controlled trial. JMIR Res Protoc. 2023;12(1):e42980. [CrossRef]
  71. Aguiñaga S, Marques IG, Kitsiou S, et al. BAILAMOS with mHealth technology! Improving physical activity and well-being in middle-aged and older Latinxs: a pre-post feasibility study. Health Educ Behav. Oct 2021;48(5):575-583. [CrossRef] [Medline]


ADRD: Alzheimer disease and related dementias
CAB: community advisory board
CONSORT: Consolidated Standards of Reporting Trials
COREQ: Consolidated Criteria for Reporting Qualitative Research
IRB: institutional review board
PA: physical activity
RCT: randomized controlled trial
REDCap: Research Electronic Data Capture


Edited by Amaryllis Mavragani; submitted 20.08.24; peer-reviewed by Manon Lemonde, Susan Aguiñaga; final revised version received 28.03.25; accepted 02.04.25; published 27.05.25.

Copyright

© Zvinka Z Zlatar, Mikael Anne Greenwood-Hickman, Lazaro N Martinez Lujan, Julie Cooper, Stefani Florez-Acevedo, David X Marquez, Rosa Gutierrez Aceves, Andrea Paula Vargas, Dori E Rosenberg. Originally published in JMIR Formative Research (https://formative.jmir.org), 27.5.2025.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included.