scholarly journals Neighborhood Influences on Physical Activity Among Low-Income African American Adults With Type 2 Diabetes Mellitus

2020 ◽  
Vol 46 (2) ◽  
pp. 181-190 ◽  
Author(s):  
Soim Park ◽  
Wayne W. Zachary ◽  
Joel Gittelsohn ◽  
Charlene C. Quinn ◽  
Pamela J. Surkan
Keyword(s):  
Physical Activity ◽  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
African American ◽  
Low Income ◽  
Socioeconomic Inequalities ◽  
Neighborhood Environment ◽  
Care Providers

Purpose The purpose of the study was to explore the influences of the neighborhood environment on physical activity (PA) among people living with type 2 diabetes mellitus (T2DM) in a community with limited resources. Methods Participants were adults with T2DM and their family members or friends who help in the management of T2DM and who were living in a low-income African American (AA) community. Health care providers working in the neighborhood were also included. Using an emergent design, qualitative data were collected through 7 focus group discussions (N = 63) and 13 in-depth interviews. Verbatim transcriptions were analyzed via thematic coding to explore contextual factors that limit PA and meaning around neighborhood features that promote or discourage PA. Results Levels of PA were strongly limited by neighborhood insecurity and a lack of recreational facilities in the neighborhood. People with T2DM and physical/mobility disabilities were more affected by the neighborhood environment than those without disabilities, particularly due to perceived safety concerns and social stigma. Despite socioeconomic inequalities within neighborhoods, participants showed resilience and made efforts to overcome social-environmental barriers to PA, applied various coping strategies, and received social support. Conclusions Results suggested that in an underserved neighborhood, individual barriers to physical activity were amplified by neighborhood-level factors such as crime, especially among individuals who have T2DM and disabilities. Socioeconomic inequalities should be addressed further to improve management of T2DM and its complications.

Efficacy of a pedometer-based physical activity program on parameters of diabetes control in type 2 diabetes mellitus

Metabolism ◽  
2006 ◽  
Vol 55 (10) ◽  
pp. 1382-1387 ◽  
Author(s):  
Paul Araiza ◽  
Hilary Hewes ◽  
Carrie Gashetewa ◽  
Chantal A. Vella ◽  
Mark R. Burge
Keyword(s):  
Physical Activity ◽  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Diabetes Control ◽  
Physical Activity Program ◽  
Activity Program

Glucagon gene polymorphism modifies the effects of smoking and physical activity on risk of type 2 diabetes mellitus in Han Chinese

Gene ◽  
2014 ◽  
Vol 534 (2) ◽  
pp. 352-355 ◽  
Author(s):  
Linlin Li ◽  
Kaiping Gao ◽  
Jingzhi Zhao ◽  
Tianping Feng ◽  
Lei Yin ◽  
...  
Keyword(s):  
Physical Activity ◽  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Gene Polymorphism ◽  
Han Chinese

scholarly journals Salud paso por paso : a culturally-tailored physical activity intervention with hispanic adults with type 2 diabetes mellitus

2021 ◽  
Author(s):  
◽  
Julio Cesar Loya
Keyword(s):  
Physical Activity ◽  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Physical Activity Intervention ◽  
Controlled Trial ◽  
Control Group ◽  
Culturally Tailored ◽  
Hispanic Adults

Limited information is available regarding culturally-tailored physical activity (PA) interventions for Hispanic adults with type 2 diabetes mellitus (T2DM). A community-partnered approach was used to examine a novel culturally-tailored PA intervention using a pre-post, no control group design. The intervention consisted of six weekly 45-minute sessions for participants to engage in PA led by the researcher. A total of 21 individuals participated in the study. The typical participant was a 53-year-old female (90 percent) Hispanic adult living with T2DM with low acculturation. On average, before the intervention, the participants walked 10,285 (sd 14,779) steps per week with 43.4 (sd 68.1) minutes of PA per week. Despite implementation during the COVID-19 pandemic, the intervention was feasible and acceptable, and 19 (90.5 percent) participants attended all intervention sessions. There were significant increases in steps per week (p=0.007; d=1.03) and minutes of PA per week (p=0.000; d=1.62). Findings suggest that Salud Paso por Paso has promise as a strategy to enhance PA behaviors in the priority population. A randomized, controlled trial with a larger study sample is warranted to examine efficacy and impact on the diabetes health outcomes of Hispanic adults with T2DM.

scholarly journals Sleep Tracking and Exercise in Patients With Type 2 Diabetes Mellitus (Step-D): Pilot Study to Determine Correlations Between Fitbit Data and Patient-Reported Outcomes (Preprint)

2017 ◽  
Author(s):  
James Weatherall ◽  
Yurek Paprocki ◽  
Theresa M Meyer ◽  
Ian Kudel ◽  
Edward A Witt
Keyword(s):  
Physical Activity ◽  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Pilot Study ◽  
Patient Reported Outcomes ◽  
Sleep Problems ◽  
Health Data ◽  
Patient Reported

BACKGROUND Few studies assessing the correlation between patient-reported outcomes and patient-generated health data from wearable devices exist. OBJECTIVE The aim of this study was to determine the direction and magnitude of associations between patient-generated health data (from the Fitbit Charge HR) and patient-reported outcomes for sleep patterns and physical activity in patients with type 2 diabetes mellitus (T2DM). METHODS This was a pilot study conducted with adults diagnosed with T2DM (n=86). All participants wore a Fitbit Charge HR for 14 consecutive days and completed internet-based surveys at 3 time points: day 1, day 7, and day 14. Patient-generated health data included minutes asleep and number of steps taken. Questionnaires assessed the number of days of exercise and nights of sleep problems per week. Means and SDs were calculated for all data, and Pearson correlations were used to examine associations between patient-reported outcomes and patient-generated health data. All respondents provided informed consent before participating. RESULTS The participants were predominantly middle-aged (mean 54.3, SD 13.3 years), white (80/86, 93%), and female (50/86, 58%). Use of oral T2DM medication correlated with the number of mean steps taken (r=.35, P=.001), whereas being unaware of the glycated hemoglobin level correlated with the number of minutes asleep (r=−.24, P=.04). On the basis of the Fitbit data, participants walked an average of 4955 steps and slept 6.7 hours per day. They self-reported an average of 2.0 days of exercise and 2.3 nights of sleep problems per week. The association between the number of days exercised and steps walked was strong (r=.60, P<.001), whereas the association between the number of troubled sleep nights and minutes asleep was weaker (r=.28, P=.02). CONCLUSIONS Fitbit and patient-reported data were positively associated for physical activity as well as sleep, with the former more strongly correlated than the latter. As extensive patient monitoring can guide clinical decisions regarding T2DM therapy, passive, objective data collection through wearables could potentially enhance patient care, resulting in better patient-reported outcomes.

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