Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43825, first published .
Leveraging the Black Girls Run Web-Based Community as a Supportive Community for Physical Activity Engagement: Mixed Methods Study

Leveraging the Black Girls Run Web-Based Community as a Supportive Community for Physical Activity Engagement: Mixed Methods Study

Leveraging the Black Girls Run Web-Based Community as a Supportive Community for Physical Activity Engagement: Mixed Methods Study

Original Paper

1Department of Human Development and Family Sciences, The University of Connecticut, Storrs, CT, United States

2Department of Allied Health Sciences, The University of Connecticut, Storrs, CT, United States

3Department of Nutritional Sciences, The University of Connecticut, Storrs, CT, United States

4Department of Allied Health, The University of Connecticut, Storrs, CT, United States

5Department of Communication, The University of Connecticut, Storrs, CT, United States

6Black Girls Run, Richmond, VA, United States

Corresponding Author:

Jolaade Kalinowski, EdD

Department of Human Development and Family Sciences

The University of Connecticut

348 Mansfield Rd

Storrs, CT, 06269

United States

Phone: 1 2032518421

Email: jolaade.kalinowski@uconn.edu


Background: About 59%-73% of Black women do not meet the recommended targets for physical activity (PA). PA is a key modifiable lifestyle factor that can help mitigate risk for chronic diseases such as obesity, diabetes, and hypertension that disproportionately affect Black women. Web-based communities focused on PA have been emerging in recent years as web-based gathering spaces to provide support for PA in specific populations. One example is Black Girls Run (BGR), which is devoted to promoting PA in Black women.

Objective: The purpose of this study was to describe the content shared on the BGR public Facebook page to provide insight into how web-based communities engage Black women in PA and inform the development of web-based PA interventions for Black women.

Methods: Using Facebook Crowdtangle, we collected posts (n=397) and associated engagement data from the BGR public Facebook page for the 6-month period between June 1, 2021, and December 31, 2021. We pooled data in Dedoose to analyze the qualitative data and conducted a content analysis of qualitative data. We quantified types of posts, post engagement, and compared post types on engagement: “like,” “love,” “haha,” “wow,” “care,” “sad,” “angry,” “comments,” and “shares.”

Results: The content analysis revealed 8 categories of posts: shout-outs to members for achievements (n=122, 31%), goals or motivational (n=65, 16%), announcements (n=63, 16%), sponsored or ads (n=54, 14%), health related (n=47, 11%), the lived Black experience (n=23, 6%), self-care (n=15, 4%), and holidays or greetings (n=8, 2%). The 397 posts attracted a total of 55,354 engagements (reactions, comments, and shares). Associations between the number of engagement and post categories were analyzed using generalized linear models. Shout-out posts (n=22,268) elicited the highest average of total user engagement of 181.7 (SD 116.7), followed by goals or motivational posts (n=11,490) with an average total engagement of 160.1 (SD 125.2) and announcements (n=7962) having an average total engagement of 129.9 (SD 170.7). Significant statistical differences were found among the total engagement of posts (χ72=80.99, P<.001), “like” (χ72=119.37, P<.001), “love” (χ72=63.995, P<.001), “wow” (χ72=23.73, P<.001), “care” (χ72=35.06, P<.001), “comments” (χ72=80.55, P<.001), and “shares” (χ72=71.28, P<.001).

Conclusions: The majority of content on the BGR Facebook page (n=250, 63%) was focused on celebrating member achievements, motivating members to get active, and announcing and promoting active events. These types of posts attracted 75% of total post engagement. BGR appears to be a rich web-based community that offers social support for PA as well as culturally relevant health and social justice content. Web-based communities may be uniquely positioned to engage minoritized populations in health behavior. Further research should explore how and if web-based communities such as BGR can be interwoven into health interventions and health promotion.

JMIR Form Res 2023;7:e43825

doi:10.2196/43825

Keywords



Recent evidence suggests that 59%-73% of Black women are not meeting the recommended targets for physical activity (PA) [1]. Sedentary lifestyle is associated with obesity [2], diabetes [3], hypertension [4], and poor sleep quality [5], all of which disproportionately affect Black women. PA has been shown to reduce the risk for these conditions; yet uptake is particularly low among Black women [6-8].

Black women face a myriad of barriers to PA, such as low social support [9], low access to green spaces [10], and safe places to exercise [11]. Cultural norms and body politics play an integral role in Black women’s body image, self or external reflection, and can pose as barriers to PA [12]. For some, PA is associated with a desire for weight loss and can be a motivating factor to engage in PA. But for others, lower body satisfaction and body image may impede motivation to engage in PA [13]. Other research suggests that acceptance of larger body size may also dissuade engagement in PA [14].

It is important to consider the historical context for the complex nature of body image, beauty standards, and stereotypes about Black women [15]. The exploitation of Saartje Baartman, a Black woman with steatopygia, which is a condition that is characterized by high-fat proportions in thighs and buttocks [16], had a profound impact on the expectations of Black women and their bodies [17,18]. The effects of her exploitation had a lasting legacy on how contemporary Black women view beauty standards and the promotion of the curvy body type [19]. Similarly, the “mammy” stereotype of Black women, which portrays Black women as large and strong, with a purpose to serve others, has also had profound implications on wellness, body image, and expectations of Black women in and outside of the Black community [20,21]. Emerging qualitative research also underscores the influence and legacy of these cultural stereotypes and their implications on health, body ideals, and preferences and expectations regarding weight [22], which also has implications for attitudes toward PA [12,23].

Despite these nuanced historical factors, web-based Black communities are emerging as potentially safe spaces to congregate and support one another around physical and mental health [24,25]. Emerging evidence suggests that social support and social networks may be especially critical in engaging Black women in PA [26-28]. One example is Black Girls Run (BGR), a web-based recreational running community for Black women. BGR provides an opportunity for Black women to run with others that “look like you” in a predominantly White space while simultaneously challenging dominant narratives about Black women’s bodies, PA, and health [29]. Established in 2009, the mission of BGR is to motivate Black women to prioritize fitness and healthy lifestyle through running. Across the nation, BGR has 75 local chapters, many of which have their own Facebook groups and pages [30]. BGR’s national Facebook page has attracted 231,785 followers and 215,089 likes. The national BGR Facebook page is public such that any Facebook user can view and engage with its content, which could result in their content appearing in that users’ newsfeed.

The emergence and growth of health-focused web-based communities such as BGR are exemplary of emerging evidence that social media may be an effective tool for engaging Black women around health topics [31]. One study of smartphone use and social media engagement found that Facebook usage among Black women was as high as 80%, depending on age [32]. Yet, very little research has been done to examine large, highly engaged social media communities such as BGR, including how they engage members, the characteristics of posts, and what type of content attracts the most engagement from the community. As such, we performed a content analysis of 6 months of Facebook posts on the BGR national Facebook page. Then, we compared post types on engagement to determine the type of content that elicited the most engagement. This study may provide insight into how web-based communities engage Black women in PA and may inform the development of web-based PA interventions for Black women.


Data Collection

Methods were largely derived from previous investigations using social media data [33,34]. Similar to the previous studies, we used CrowdTangle Search, a service owned by Meta that allows researchers to extract publicly available data on Facebook [35,36]. On January 11, 2022, we extracted all Facebook posts in the BGR Facebook page between the 6-month period of June 1, 2021, through December 31, 2021. We also collected data on post engagement, which included reactions (eg, likes), comments, and shares. We exported the posts and engagement data to an Excel (Microsoft Corp) spreadsheet and then Dedoose for content analysis.

Ethical Considerations

We followed similar methodology and processes as previous social media research and content analysis studies [33,37-39]. This study was deemed exempt from institutional review board approval from the University of Connecticut Institutional Review Board.

Data Analysis

We performed a conventional content analysis of posts from the BGR Facebook page using a data-driven inductive framework approach in which content was coded into categories representing the implied intent of the post [40]. As a first step, a pair of investigators reviewed the posts, identified emerging themes, and developed a thematic framework. Following this process, the study team developed a codebook with 10 themes that were then applied to the first 50 posts. The 50 posts were then independently coded by 2 investigators who made refinements to the codebook based on areas of discrepant coding. The remaining 347 posts were double coded by 2 investigators. Interrater reliability was 89.7% and Cohen κ coefficient was 0.91 [41].

We calculated descriptive statistics for reactions (likes, love, wow, and care), comments, shares, and total engagement for each category (see Table 1). To evaluate the statistical association between the number of engagements post received and post types, generalized linear models were generated. Specifically, to account for the nature of the outcome variable (counts of the number of engagements), we used negative binomial regression models with 1 main predictor, post type, and time of posting as a covariate. Likelihood-ratio chi-squared statistics (Table 2) were used to evaluate the significance of post type. Three types of reactions (haha, angry, and sad) had insufficient frequency to compare across post types. Quantitative analyses were completed in R (version 4.1.0; R Core Team).

Table 1. Engagement data on Facebook posts.
Facebook post codeLikes (n=33,560)Love (n=10,968)Wow (n=82)Haha (n=307)Sad (n=10)Angry (n=5)Care (n=321)Comments (n=5019)Shares (n=5082)Total engagements (n=55,354)
Announcements (ref)

Engagements, n35771662195233716599987962

Engagements, mean (SD)59.3 (81.7)26.9 (47.0)0.3 (1.0)0.1 (0.3)0.0 (0.2)0.0 (0.2)0.6 (1.3)26.7 (59.4)16.0 (16.7)129.9 (170.7)
Goalsormotivational

Engagements, n6961218632742079700128511,490

Engagements, mean (SD)107.5 (134.8)33.7 (34.0)0.0 (0.2)4.2 (19.6)0.0 (0.2)0.0 (0.0)1.2 (3.9)11.7 (16.4)19.9 (24.1)160.1 (125.2)
Shout-outs

Engagements, n14,858457940241121186180222,268

Engagements, mean (SD)121.6 (73.7)37.5 (30.6)0.3 (0.7)0.0 (0.2)0.0 (0.2)0.0 (0.0)1.0 (1.5)14.8 (22.9)6.5 (9.6)181.7 (116.7)
Holidaysorgreetings

Engagements, n594178101062897905

Engagements, mean (SD)74.3 (36.3)22.3 (11.4)0.1 (0.4)0.0 (0.0)0.1 (0.4)0.0 (0.0)0.8 (0.7)3.5 (2.1)12.1 (10.4)113.1 (50.7)
Sponsoredorads

Engagements, n1905679100081255453263

Engagements, mean (SD)35.3 (27.2)12.6 (12.2)0.0 (0.1)0.0 (0.0)0.0 (0.0)0.0 (0.0)0.1 (0.4)2.3 (3.3)10.1 (10.2)60.4 (48.6)
Health related

Engagements, n304680014111333518835130

Engagements, mean (SD)64.8 (54.5)17.0 (17.4)0.3 (1.8)0.0 (0.1)0.0 (0.1)0.0 (0.1)0.7 (1.0)7.5 (13.0)18.8 (22.0)109.1 (91.6)
Lived Black experience

Engagements, n14474722200121032382276

Engagements, mean (SD)62.9 (39.7)20.5 (15.9)0.1 (0.3)0.1 (0.3)0.0 (0.0)0.0 (0.0)0.5 (0.9)4.5 (5.2)10.3 (9.3)99.0 (61.9)
Self-care

Engagements, n117241222300251922342060

Engagements, mean (SD)78.1 (46.6)27.5 (25.4)0.1 (0.4)1.5 (4.1)0.0 (0.0)0.0 (0.0)1.7 (2.4)12.8 (23.8)15.6 (16.4)137.3 (77.5)
χ72119.3763.99523.73b35.0680.5571.2880.99
P value<.001a<.001a<.001a<.001a<.001a<.001a<.001a

aItalics indicate statistical significance (P<.05).

bNot available due to insufficient frequencies of interactions.

Table 2. Likelihood ratio chi-square statistics for post type from negative binomial generalized linear models predicting post engagement. All models also included time of post as a covariate.
Outcome or modelLikelihood-ratio, χ72P value
Total engagements80.99<.001a
Likes119.37<.001a
Love63.995<.001a
Wow23.73<.001a
Hahab
Sad
Angry
Care35.06<.001a
Comments80.55<.001a
Shares71.28<.001a

aBoldface indicates statistical significance (<.05).

bNot available due to insufficient frequencies of interactions.


A total of 397 unique Facebook posts were observed on the BGR Facebook page in the 6-month period between June 1, 2021, and December 31, 2021, which amounted to an average of 1.86 posts per day. The most common type of post (n=122, 31%) was “shout-outs,” which we defined as posts that celebrated achievements, milestones, and other special moments among members (Table 3). The next most common type of post was goal or motivational posts (n=65, 16%), which were defined as posts that discussed goals and intentions or included motivational quotes. The next most common type of post was announcements (n=63, 16%), which we defined as posts that announced events, registration deadlines for events or cancellations, logistics, and other information regarding events. The next most common type of post was sponsored or ad posts (n=54, 14%), which were posts promoting a business or product to the community. Many of the sponsored or ad posts were health- or running related (eg, running shoes or healthy food ads). Next were health-related posts (n=47, 12%), the examples of which include posts that share advice, education, or experiences with health-related behaviors (eg, exercise, sleep, weight, nutrition, hydration, injury prevention, stress, COVID-19, or mental health). The 3 least common types of posts were those pertaining to the lived Black experience (eg, racism, discrimination, social justice; n=23, 6%), self-care (eg, taking time for oneself or taking actions to improve one’s wellness; n=15, 4%) and holidays or greetings, (eg, greetings for special occasions or holidays; n=8, 2%).

Table 3. List of codes.
CodePosts, n (%)Definition
Shout-outs122 (31)Posts that mention an individual’s or a group’s achievements, milestones, birthdays, anniversaries, and so forth.
Goals or motivational65 (16)Posts that discussed goals, intentions, and motivational quotes encouraging achieving goals.
Announcements63 (16)Any post that is announcing events, registration, cancellations, logistics, or other urgent information. The purpose is to give the community information about upcoming running events and inviting members to register.
Sponsored or ads54 (14)Promoting a business or product to the community. The purpose of the post is to feature a business or product, to get people to buy something, or patronize a business.
Health related47 (11)Posts that share advice, education, or experiences with health related behaviors including but not limited to exercise, sleep, nutrition, hydration, injury prevention, stress reduction, COVID-19, or a health condition (eg, asthma and diabetes) or a mental health condition (eg, depression).
Lived Black experience23 (6)Posts discussing racism, police brutality against African Americans, dangers of running while Black, Black health, haircare, and Black history.
Self-care15 (4)Posts that discuss taking time for oneself or taking actions to improve one’s wellness (eg, spirituality)
Holidays or greetings8 (2)Holiday-related messages, just serve the purpose of passing along greetings for special occasions, holidays, and so forth.

A total of 55,354 engagements were observed across 397 posts. Approximately 82% (n=45,253) of engagements were reactions (eg, like, love, wow, haha, sad, angry, and care), 9.1% (n=5019) were replies or comments, and 9.2% (n=5082) were shares. We observed a statistically significant difference in total engagement between post types (χ72=80.99, P<.001). The post type with the highest mean engagement per post was shout-outs (mean 181.7, SD 116.7), followed by goals or motivational posts (mean 160.1, SD 125.2), self-care posts (mean 137.3, SD 77.5), announcements (mean 129.9, SD 170.7), holidays or greetings posts (mean 113.1, SD 50.7), health related posts (mean 109.1, SD 91.6), the lived Black experience (mean 181.7, SD 116.7), and sponsored or ad posts (mean 60.4, SD 48.6). In terms of reactions, “like” (n=33,560, 74%) was by far the most common, followed by “love” (n=10,967, 24%), “care” (n=321, 0.7%), “haha” (n=307, 0.7%), “wow” (n=82, 0.2%), “sad” (n=10, 0.02%), and “angry” (n=5, 0.01%). Significant differences were found between groups for all reaction types except for the “haha,” “sad,” and “angry” because cells were too small to compare.

The most common posts that received comments were health related (n=1861, 3%), announcements (n=1659, 33%), and goals or motivational (n=700, 14%). The next most common types of posts to receive comments were shout-outs (n=351, 7%), the lived Black experience (n=192, 4%), and self-care (n=125, 3%). The least common posts to receive comments were sponsored or ads (n=103, 2%) and holidays or greetings (n=28, 0.6%). Goals or motivational posts (n=1285, 25%), announcements (n=998, 20%), and shout-outs (n=883, 17%) were the most frequently shared. The next common posts to be shared were health related (n=802, 16%), self-care (n=545, 11%), and sponsored or ads (n=238, 5%). The least common posts shared were the lived Black experience (n=234, 5%) and holidays or greetings (n=97, 2%). See Table 1 for engagement data on Facebook posts across all 8 codes.


Principal Results

Our content analysis of 397 unique posts during a 6-month period in the BGR public Facebook page revealed that the most popular type of posts acknowledged members’ achievements, motivated members to get active, and announced active events. Posts also included the content on health information across a variety of topics, self-care, and Black culture and experiences. Overall, results suggest that the BGR Facebook page provides PA resources and social support, which are known predictors of PA in Black women [9]. Future research should examine member characteristics of PA communities on Facebook and the impact of following and participating in these communities on PA behavior. Although public Facebook communities about PA likely attract many users who are already physically active, given the public nature, users’ friends can see their friends’ group membership and engagement in the community, which might motivate them to join as well. Studies should also explore how one’s engagement in public Facebook pages about health influence their friends’ interest in those pages and their engagement in PA.

Shout-outs, which are posts that highlighted member achievements and promoted inclusivity and community, were the most popular type of posts, which are encouraging given that Black women have been historically excluded from wellness communities, such as yoga [42,43]. Engagement data revealed that positive sentiment reactions represented the vast majority (n=45,238, 82%) of reactions (eg, likes, love, haha, and care), which suggest that the content being produced largely generates positive feelings. That said, negative sentiment reactions can also provide support. For example, sad or angry reactions to a post describing one’s experience with racism also convey support. Future studies should explore the content of group member comments to better understand the types of conversations that are generated as well as the sentiment of those conversations. Our findings suggest that the BGR Facebook page promotes a positive space that features women of varying sizes, skin tones, and physical abilities. Social media platforms provide an opportunity to create spaces that are safe for Black women to engage around health topics.

BGR Facebook posts appeared to demonstrate cultural awareness regarding issues that are important to Black women. For example, some posts alluded to the management of hair, which previous studies have documented as a barrier to PA in Black women including how the money and time required to restyle and maintain hair following a workout [44-47]. Hair in the Black community is a complicated phenomenon that, on the one hand, is a critical aspect of identity, self-esteem, and worth, but on the other hand, has been associated with discrimination [48] and microaggressions to an extent that many states have had to pass legislation to prohibit hair discrimination [49-51]. Future research should examine the impact of such role modeling of hair care during and after exercise and promotion of social norms around acceptable hairstyles in web-based exercise communities, as these might have a substantial effect on reducing PA barriers in Black women.

Almost 6% of posts addressed some aspect of the Black experience including topics such as racism and discrimination. For example, some posts addressed the 2020 murder of Ahmaud Arbery, a Black runner in Georgia who was killed by White vigilantes. The effect of this murder on the PA habits in the Black community is unknown, but robust literature reveals that lack of perceived safety is a substantial barrier to PA in Black communities [11]. This can be attributable to perceptions regarding the lack of neighborhood safety [52,53] as well as fears regarding racial discrimination and safety while running in White neighborhoods [54], and these fears were likely intensified by the murder of Ahmaud Arbery. Studies should examine how engagement around these topics in web-based communities like BGR may buffer the effects of such events on exercise motivation in Black women. To the extent that these communities provide an outlet to discuss concerns, safety measures, and connect users who would like to exercise together, they may facilitate greater comfort about exercising in public as well as ideas for places where Black women can exercise safely.

Other examples of Black experience that appeared in posts and elicited engagement was the social activism content that appeared in announcement posts. For example, 1 BGR post encouraged runners to join the eRace Racism Virtual Challenge, which is a run, walk, or hike event to raise money to combat racism. Other posts announced events and discussed walks or runs for civil rights and racial injustice. Future research should examine how to attach web-based social activism [55], an important community value, to PA in Black women as a way to enhance PA motivation while also engaging in activism for causes that directly affect their community.

Our content analysis also revealed that the BGR community is a source of health education on a variety of topics besides PA (eg, weight loss, the dangers of ultraviolet sun exposure, and mental health). More than 10% of the posts were of this nature. Facebook communities such as BGR may present opportunities to disseminate evidence-based health education and promotion programming—particularly given the strong infrastructure, the interest by group members, the group cohesion that is generated within social networks, and the mission of BGR to improve health. Notably, weight loss was among the most common health-related post topics. Because Black women have a disproportionately high prevalence of obesity (56.9%) [56], communities such as this may provide opportunities for partnership with experts in behavioral weight management to provide culturally relevant programming. Future studies should explore the interest of members of PA-focused web-based communities for Black women in more formal programming for weight management.

Previous studies have identified interpersonal barriers to PA, including poor social support or PA partners [11]. The web-based community of BGR addresses these barriers by offering a community of fellow Black women who are engaging in PA and supporting each other in their efforts to be active. The local chapters within the BGR community provide an additional opportunity for social support and community by offering in-person running and walking opportunities to members. BGR and other web-based communities are also uniquely positioned to provide knowledge and education about running safety and health education, which have also been cited as barriers to engaging in PA among Black women [11]. It is also possible that web-based communities such as BGR may provide motivation to exercise or engage in PA, which is an important aspect to PA engagement [57]. While there is extensive literature on barriers to PA among Black women (eg, motivation, cost, childcare, social support, safety, among others) [11,57,58], there is limited research on how people are engaging with these communities and how and if social media communities can ameliorate these barriers. Moreover, there is a critical research gap on the potential mechanisms and applicable theoretical frameworks regarding how social media engagement relates may relate to behavior change in the context of web-based communities such as BGR. For example, might engagement in social media communities such as BGR increase self-efficacy [59], thereby increasing the likelihood of PA engagement? Could principles of the transtheoretical model of change [60] explain how participants may become move from contemplative to ready to engage in PA? Might engagement with social media communities influence attitudes to engaging in PA, as seen in other health behaviors [61]? There is a need for further exploration in regard if and how social media engagement is related to engagement or lack of engagement in PA.

Limitations

Some limitations should be considered when interpreting the results of this study. It is possible that members engaged in the BGR community are likely to be more physically active or already interested in PA than in the general population. Second, we cannot confirm that this group is representative of all Black women; thus, engagement data may not be generalizable to all Black women. In addition, engagement data may be an underestimate given that they reflect the engagement that occurred up until the day we extracted it from the page. However, because the vast majority of engagement (eg, likes, comments, and shares) on Facebook posts occur within the first 48 hours of the posting, we likely captured the majority of probable engagement [62].

Conclusions

The findings offer a critical addition to the dearth of literature on web-based communities serving Black women, social media, and PA. BGR serves as a space for social connection, health education, and social support and engagement around PA. Future research should explore more about the potential links between engagement in social media posts and engaging in PA and also should examine how health promotion researchers can partner with web-based communities around health topics and reduce disparities in PA engagement, particularly among Black women.

Data Availability

The data sets generated and analyzed during this study are available from the corresponding author on reasonable request.

Conflicts of Interest

None declared.

  1. Williams WM, Yore MM, Whitt-Glover MC. Estimating physical activity trends among blacks in the United States through examination of four national surveys. AIMS Public Health. 2018;5(2):144-157. [FREE Full text] [CrossRef] [Medline]
  2. Hales CM, Carroll MD, Fryar CD, Ogden CL. Prevalence of obesity and severe obesity among adults: United States, 2017-2018. NCHS Data Brief. 2020(360):1-8. [FREE Full text] [Medline]
  3. Mikhail N, Wali S, Brown AF. Ethnic disparities in diabetes. Endocrinol Metab Clin North Am. 2021;50(3):475-490. [CrossRef] [Medline]
  4. Randall OS, Retta TM, Kwagyan J, Gordeuk VR, Xu S, Maqbool AR, et al. Obese African Americans: the prevalence of dyslipidemia, hypertension, and diabetes mellitus. Ethn Dis. 2004;14(3):384-388. [Medline]
  5. Loprinzi PD, Cardinal BJ. Association between objectively-measured physical activity and sleep, NHANES 2005–2006. Ment Health Phys Act. 2011;4(2):65-69. [FREE Full text] [CrossRef]
  6. Whitt-Glover MC, Goldmon MV, Gizlice Z, Sillice M, Hornbuckle L, Heil DP. Increasing physical activity in black women: results from a randomized trial conducted in faith-based settings. Ethn Dis. 2017;27(4):411-420. [FREE Full text] [CrossRef] [Medline]
  7. Nam S, Jeon S, Ash G, Whittemore R, Vlahov D. Racial discrimination, sedentary time, and physical activity in African Americans: quantitative study combining ecological momentary assessment and accelerometers. JMIR Form Res. 2021;5(6):e25687. [FREE Full text] [CrossRef] [Medline]
  8. Dubbert PM, Robinson JC, Sung JH, Ainsworth BE, Wyatt SB, Carithers T, et al. Physical activity and obesity in African Americans: the Jackson heart study. Ethn Dis. 2010;20(4):383-389. [FREE Full text] [Medline]
  9. Brown A, Wilson DK, Sweeney AM, Van Horn ML. The moderating effects of social support and stress on physical activity in African American women. Ann Behav Med. 2021;55(4):376-382. [FREE Full text] [CrossRef] [Medline]
  10. Jennings V, Gaither CJ. Approaching environmental health disparities and green spaces: an ecosystem services perspective. Int J Environ Res Public Health. 2015;12(2):1952-1968. [FREE Full text] [CrossRef] [Medline]
  11. Joseph RP, Ainsworth BE, Keller C, Dodgson JE. Barriers to physical activity among African American women: an integrative review of the literature. Women Health. 2015;55(6):679-699. [FREE Full text] [CrossRef] [Medline]
  12. Robinson SA, Webb JB, Butler-Ajibade PT. Body image and modifiable weight control behaviors among black females: a review of the literature. Obesity (Silver Spring). 2012;20(2):241-252. [FREE Full text] [CrossRef] [Medline]
  13. Taylor WC, Yancey AK, Leslie J, Murray NG, Cummings SS, Sharkey SA, et al. Physical activity among African American and Latino middle school girls: consistent beliefs, expectations, and experiences across two sites. Women Health. 1999;30(2):67-82. [CrossRef] [Medline]
  14. Mabry IR, Young DR, Cooper LA, Meyers T, Joffe A, Duggan AK. Physical activity attitudes of African American and white adolescent girls. Ambul Pediatr. 2003;3(6):312-316. [CrossRef] [Medline]
  15. Kelch-Oliver K, Ancis JR. Black women's body image: an analysis of culture-specific influences. Women Ther. 2011;34(4):345-358. [CrossRef]
  16. Ersek RA, Bell HN, Salisbury AV. Serial and superficial suction for steatopygia (Hottentot bustle). Aesthetic Plast Surg. 1994;18(3):279-282. [CrossRef] [Medline]
  17. Henderson CE. AKA: Sarah Baartman, the Hottentot venus, and black women‘s identity. Womens Stud. 2014;43(7):946-959. [CrossRef]
  18. Gordon-Chipembere N. Representation and Black Womanhood: The Legacy of Sarah Baartman. New York, NY. Palgrave Macmillan; 2011.
  19. Ashley RR. #ModernBaartmans: black women‘s reimagining of Saartjie Baartman. J Black Stud. 2021;52(7):667-687. [CrossRef]
  20. Dupree-Wilson T. Killing “Dixie”: the NAACP, the Black press, and the crusade to end Black caricature culture in Hollywood, 1950–1969. J Afr Am St. 2020;24(4):596-610. [CrossRef]
  21. Beauboeuf-Lafontant T. Our plates are full: black women and the weight of being strong. In: Doing Nutrition Differently: Critical Approaches to Diet and Dietary Intervention. Farnham, UK. Ashgate Publishing; 2013.
  22. Hughes E. “I’m supposed to be thick”: managing body image anxieties among Black American women. J Black Stud. 2020;52(3):310-330. [FREE Full text] [CrossRef]
  23. Mama SK, Quill BE, Fernandez-Esquer ME, Reese-Smith JY, Banda JA, Lee RE. Body image and physical activity among Latina and African American women. Ethn Dis. 2011;21(3):281-287. [Medline]
  24. Francis DB. "Twitter is really therapeutic at times": examination of black men's Twitter conversations following hip-hop artist Kid Cudi's depression disclosure. Health Commun. 2021;36(4):448-456. [CrossRef] [Medline]
  25. Johnson KF, Brookover DL, Borden NJ, Worth AK, Temple P, Mahan LB. What YouTube narratives reveal about online support, counseling entrance, and how Black Americans manage depression symptomatology. Inform Health Soc Care. 2021;46(1):84-99. [CrossRef] [Medline]
  26. Wilbur J, Chandler P, Dancy B, Choi J, Plonczynski D. Environmental, policy, and cultural factors related to physical activity in urban, African American women. Women Health. 2002;36(2):17-28. [CrossRef] [Medline]
  27. Wolfe WA. A review: maximizing social support--a neglected strategy for improving weight management with African-American women. Ethn Dis. 2004;14(2):212-218. [Medline]
  28. Harley AE, Katz ML, Heaney CA, Duncan DT, Buckworth J, Odoms-Young A, et al. Social support and companionship among active African American women. Am J Health Behav. 2009;33(6):673-685. [CrossRef] [Medline]
  29. Smith-Tran A. “Finally something for us”: black girls run! and racialized space-making in recreational running. J Sport Soc Issues. 2020;45(3):235-250. [CrossRef]
  30. Black Girls Run. 2022. URL: https://blackgirlsrun.com/about/ [accessed 2022-03-08]
  31. Liao Y, Brown KK. Usage of digital health tools and perception of mHealth intervention for physical activity and sleep in black women. Int J Environ Res Public Health. 2022;19(3):1557. [FREE Full text] [CrossRef] [Medline]
  32. James DCS, Harville C. Smartphone usage, social media engagement, and willingness to participate in mHealth weight management research among African American women. Health Educ Behav. 2018;45(3):315-322. [CrossRef] [Medline]
  33. Waring ME, Baker K, Peluso A, May CN, Pagoto SL. Content analysis of Twitter chatter about indoor tanning. Transl Behav Med. 2019;9(1):41-47. [FREE Full text] [CrossRef] [Medline]
  34. Meleo-Erwin ZC, Basch CH, Fera J, Arrowood M. How did individuals on Instagram discuss COVID-19 in the month following official pandemic status? A examination of user content. J Prev Interv Community. 2021;49(2):110-118. [CrossRef] [Medline]
  35. Walsh-Buhi E, Houghton RF, Lange C, Hockensmith R, Ferrand J, Martinez L. Pre-exposure prophylaxis (PrEP) information on Instagram: content analysis. JMIR Public Health Surveill. 2021;7(7):e23876. [FREE Full text] [CrossRef] [Medline]
  36. Harper T, Attwell K. How vaccination rumours spread online: tracing the dissemination of information regarding adverse events of COVID-19 vaccines. Int J Public Health. 2022;67:1604228. [FREE Full text] [CrossRef] [Medline]
  37. Sowles SJ, McLeary M, Optican A, Cahn E, Krauss MJ, Fitzsimmons-Craft EE, et al. A content analysis of an online pro-eating disorder community on Reddit. Body Image. 2018;24:137-144. [FREE Full text] [CrossRef] [Medline]
  38. Chen L, Jeong J, Simpkins B, Ferrara E. Exploring the behavior of users with attention-deficit/hyperactivity disorder on Twitter: comparative analysis of tweet content and user interactions. J Med Internet Res. 2023;25:e43439. [FREE Full text] [CrossRef] [Medline]
  39. Ablan M, Pomeroy M, Sood NJ, Marshall KE. A qualitative content analysis of responses to CDC's foodborne outbreak messages on Facebook. Food Prot Trends. 2022;42(3):174-185. [FREE Full text] [CrossRef] [Medline]
  40. Hsieh HF, Shannon SE. Three approaches to qualitative content analysis. Qual Health Res. 2005;15(9):1277-1288. [CrossRef] [Medline]
  41. McHugh ML. Interrater reliability: the kappa statistic. Biochem Med (Zagreb). 2012;22(3):276-282. [FREE Full text] [Medline]
  42. Berger MT. I do practice yoga! Controlling images and recovering the black female body in ‘skinny white girl’ yoga culture. Race Yoga. 2018;3(1):31-49. [FREE Full text] [CrossRef]
  43. Tenfelde SM, Hatchett L, Saban KL. "Maybe black girls do yoga": a focus group study with predominantly low-income African-American women. Complement Ther Med. 2018;40:230-235. [CrossRef] [Medline]
  44. Versey HS. Centering perspectives on black women, hair politics, and physical activity. Am J Public Health. 2014;104(5):810-815. [CrossRef] [Medline]
  45. Hall JC. It is tough being a black woman: intergenerational stress and coping. J Black Stud. 2018;49(5):481-501. [CrossRef]
  46. Hall RR, Francis S, Whitt-Glover M, Loftin-Bell K, Swett K, McMichael AJ. Hair care practices as a barrier to physical activity in African American women. JAMA Dermatol. 2013;149(3):310-314. [CrossRef] [Medline]
  47. Gans KM, Kumanyika SK, Lovell HJ, Risica PM, Goldman R, Odoms-Young A, et al. The development of SisterTalk: a cable TV-delivered weight control program for black women. Prev Med. 2003;37(6 Pt 1):654-667. [CrossRef] [Medline]
  48. Donahoo S, Smith AD. Controlling the crown: legal efforts to professionalize black hair. Race Just. 2019;12(1):182-203. [CrossRef]
  49. Mbilishaka AM, Clemons K, Hudlin M, Warner C, Jones D. Don't get it twisted: untangling the psychology of hair discrimination within black communities. Am J Orthopsychiatry. 2020;90(5):590-599. [CrossRef] [Medline]
  50. Bankhead T, Johnson T. Self-esteem, hair esteem and black women with natural hair. Int J Soc Educ Sci. 2014;1(4):92-102.
  51. Marr C. Black hair bias laws spread, including in handful of red states. Bloomberg Law. URL: https:/​/news.​bloomberglaw.com/​daily-labor-report/​black-hair-bias-laws-spread-including-in-handful-of-red-states [accessed 2022-08-27]
  52. Boslaugh SE, Luke DA, Brownson RC, Naleid KS, Kreuter MW. Perceptions of neighborhood environment for physical activity: is it "who you are" or "where you live"? J Urban Health. 2004;81(4):671-681. [FREE Full text] [CrossRef] [Medline]
  53. Clark CR, Ommerborn MJ, Hickson DA, Grooms KN, Sims M, Taylor HA, et al. Neighborhood disadvantage, neighborhood safety and cardiometabolic risk factors in African Americans: biosocial associations in the Jackson heart study. PLoS One. 2013;8(5):e63254. [FREE Full text] [CrossRef] [Medline]
  54. Hornbuckle LM. Running while black: a distinctive safety concern and barrier to exercise in white neighborhoods. Prev Med Rep. 2021;22:101378. [FREE Full text] [CrossRef] [Medline]
  55. Mundt M, Ross K, Burnett CM. Scaling social movements through social media: the case of black lives matter. Soc Media Soc. 2018;4(4):1-14. [CrossRef]
  56. Hales CM, Carroll MD, Fryar CD, Ogden CL. Prevalence of obesity among adults and youth: United States, 2015-2016. NCHS Data Brief. 2017(288):1-8. [FREE Full text] [Medline]
  57. Wilcox S, Ainsworth BE, Henderson KA, Richter DL, Greaney ML. Personal barriers to physical activity in African American women. Med Sci Sports Exerc. 2002;34(5):S11. [CrossRef]
  58. Richter DL, Wilcox S, Greaney ML, Henderson KA, Ainsworth BE. Environmental, policy, and cultural factors related to physical activity in African American women. Women Health. 2002;36(2):91-109. [CrossRef] [Medline]
  59. McAuley E, Blissmer B. Self-efficacy determinants and consequences of physical activity. Exerc Sport Sci Rev. 2000;28(2):85-88. [Medline]
  60. Prochaska JO, Velicer WF. The transtheoretical model of health behavior change. Am J Health Promot. 1997;12(1):38-48. [CrossRef] [Medline]
  61. Krishnan A, Zhou X. Modeling the effect of health antecedents and social media engagement on healthy eating and quality of life. J Appl Commun Res. 2019;47(4):365-380. [CrossRef]
  62. Kimlickova N. Best time to post on social media. Medium. URL: https://medium.com/strategic-content-marketing/best-time-to-post-on-social-media-ec407da071be [accessed 2022-07-29]


BGR: Black Girls Run
PA: physical activity


Edited by A Mavragani; submitted 25.10.22; peer-reviewed by L Hao Yen; comments to author 24.02.23; revised version received 18.05.23; accepted 23.05.23; published 07.09.23.

Copyright

©Jolaade Kalinowski, Christie Idiong, Loneke Blackman-Carr, Kristen Cooksey Stowers, Shardé Davis, Cindy Pan, Alisha Chhabra, Lisa Eaton, Kim M Gans, Jay Ell Alexander, Sherry Pagoto. Originally published in JMIR Formative Research (https://formative.jmir.org), 07.09.2023.

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