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Enhancement of Self-Management of Metabolic Syndrome Among Adults in Urban, Low-Income Settings of India Using Digital Health Interventions: Protocol for a Mixed Methods Study

Enhancement of Self-Management of Metabolic Syndrome Among Adults in Urban, Low-Income Settings of India Using Digital Health Interventions: Protocol for a Mixed Methods Study

Such methods ignore the interplay of culture, politics, poverty, economics, and actions in urban, low-income conditions and the role of the Sustainable Development Goals [11]. Given the concentration of health programs and policy resources in cities, it is assumed that city inhabitants have more access to services like rehabilitation and health care, and that people with low income living in cities are thus better off than their rural counterparts.

Ashish Joshi, Ashoo Grover, Usha Agrawal, Harpreet Kaur, Bhavya Malhotra, Sandeep Agrawal

JMIR Res Protoc 2025;14:e40144

Evaluation of Financial Support Workshops for Patients Under State Pension Age With Degenerative Cervical Myelopathy: Survey Study

Evaluation of Financial Support Workshops for Patients Under State Pension Age With Degenerative Cervical Myelopathy: Survey Study

Clearly, therefore, DCM impairs patients’ ability to contribute economically before retirement and can lead people into poverty [16]. Davies et al [17] found that, based on the average age of cases at presentation in the United Kingdom and an average age of retirement of 65 years, there is a potentially 15.1 years of affected productivity in people with DCM [17].

Tanzil Rujeedawa, Zahabiya Karimi, Helen Wood, Irina Sangeorzan, Roy Smith, Iwan Sadler, Esther Martin-Moore, Adrian Gardner, Andreas K Demetriades, Rohitashwa Sinha, Gordan Grahovac, Antony Bateman, Naomi Deakin, Benjamin Davies

JMIR Form Res 2025;9:e59032

Geospatial Imprecision With Constraints for Precision Public Health: Algorithm Development and Validation

Geospatial Imprecision With Constraints for Precision Public Health: Algorithm Development and Validation

From the ACS, we picked the estimated number of “individuals with income in the past 12 months below poverty level” as an example demographic; these data are publicly available at the census tract level. We chose poverty status due to its saliency in health outcomes research [35,36].

Daniel Harris, Chris Delcher

Online J Public Health Inform 2024;16:e54958

Perceptions of Wearable Health Tools Post the COVID-19 Emergency in Low-Income Latin Communities: Qualitative Study

Perceptions of Wearable Health Tools Post the COVID-19 Emergency in Low-Income Latin Communities: Qualitative Study

Given that poverty rates are over twice as high for Black and Hispanic or Latine or Latinx groups (hereby referred to as Latine) in comparison to White individuals [13,14] inaccurate readings from a photoplethysmography sensor may disproportionately impact low-SES communities. This is particularly troubling, given that our research participants all identified as members of low-income Latine communities.

Stefany Cruz, Claire Lu, Mara Ulloa, Alexander Redding, Josiah Hester, Maia Jacobs

JMIR Mhealth Uhealth 2024;12:e50826

The Brain and Early Experience Study: Protocol for a Prospective Observational Study

The Brain and Early Experience Study: Protocol for a Prospective Observational Study

Identifying the specific experiential and neurocognitive mechanisms through which poverty leads to poor EF is essential for optimizing early intervention programs. Neuroscientists investigating how poverty influences children’s neural development have identified systematic differences in structural brain development that mediate associations between poverty and impaired academic outcomes [9-12].

William Roger Mills-Koonce, Michael T Willoughby, Sarah J Short, Cathi B Propper

JMIR Res Protoc 2022;11(6):e34854