Television Watching, Diet Quality, and Physical Activity and Diabetes among Three Ethnicities in the United States

Huffman, Fatma G.; Vaccaro, Joan A.; Exebio, Joel C.; Zarini, Gustavo G.; Katz, Timothy; Dixon, Zisca

doi:10.1155/2012/191465

Cited by 33 publications

(27 citation statements)

References 25 publications

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“…Study quality scores in adults for studies ranged from 5/16 to 7/16, median=6 (scores 7: n=141; 6: n=118; 5: n=142). …”

Section: Resultsmentioning

confidence: 99%

“…For reference 42: TV viewing categorised as infrequent, moderate and frequent viewing. For reference 41: only ‘high TV viewing’ data given.A. If in one study, dietary behaviour is examined in relation to two or more sedentary behaviours (eg, a positive [+] association was found for studying and an inverse [−] association was found for TV and computer use), the study is counted once in the ‘Number of samples’ column and twice in the ‘Summary’ column.…”

Section: Resultsmentioning

confidence: 99%

“…For reference 42: TV viewing categorised as infrequent, moderate and frequent viewing. For reference 41: only ‘high TV viewing’ data given.…”

Section: Resultsmentioning

confidence: 99%

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Sedentary behaviour and diet across the lifespan: an updated systematic review

et al. 2014

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“…Study quality scores in adults for studies ranged from 5/16 to 7/16, median=6 (scores 7: n=141; 6: n=118; 5: n=142). …”

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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Sedentary behaviour and diet across the lifespan: an updated systematic review

et al. 2014

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“…Sedentary behaviors, especially television (TV) viewing, have been found to be associated with weight gain, obesity, and higher risk of chronic diseases [7], and one of the reasons could be the reduction in physical activity among those with higher level of TV viewing[8,9]. For example, in a cohort of elderly Hispanics, the highest quartile of TV viewing time was associated with a significantly higher prevalence of metabolic syndrome, and in addition, the number of abnormalities for metabolic syndrome components and the risk of high waist-to-hip ratio in the 3rd and 4th quartile of TV viewing was two and four times higher than that in the lowest quartile [10].…”

Section: Introductionmentioning

confidence: 99%

Associations Between Television Viewing and Adiposity Among South Asians

Jin

DiPietro

Kandula

et al. 2018

J. Racial and Ethnic Health Disparities

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Objective Sedentary behaviors related to television (TV) viewing are associated with adiposity; however, few investigations have focused on South Asians, an ethnicity particularly vulnerable to metabolic perturbations. This study examined the relationships between TV viewing and adiposity in a cohort of middle-aged and older South Asians. Method Data were obtained from Mediators of Atherosclerosis in South Asians Living in America (MASALA) study (N = 906; mean age [standard deviation] = 55 [9.4] years, 46% women). TV viewing hours per week was assessed through questionnaire and classified into tertiles for analysis. Multivariate linear regression models were used to examine the associations between TV viewing and measures of adiposity and body composition including body mass index (BMI), waist circumference, pericardial fat volume, and visceral, subcutaneous, and inter-muscular fat area after adjusting for covariates including intentional exercise. Results Participants who were women, older, with lower education levels, and living longer in the United States watched TV for longer periods of times. Duration of TV viewing was positively associated with BMI (p < 0.001), waist circumference (p < 0.001), visceral fat area (p = 0.001), and pericardial fat volume (p = 0.003) independent of intentional exercise. Conclusions While studies in South Asians with a longitudinal design need to confirm our findings, our cross-sectional results indicate that reduction in TV viewing may be beneficial in reducing adiposity and maintaining a healthy body composition.

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“…Expert guidelines promote counseling for patient health behavior change targeting increased physical activity, reduction in caloric intake and weight, and promotion of adherence to medication [3]. Among individuals with diabetes, women and African Americans report the lowest levels of physical activity and more than half (66%) of African Americans with diabetes report high-fat diets [4,5]. Although self-management programs have proven efficacy, attrition rates are high [6].…”

Section: Introductionmentioning

confidence: 99%

Design and Methods for a Comparative Effectiveness Pilot Study: Virtual World vs. Face-to-Face Diabetes Self-Management

Rosal¹,

Heyden²,

Mejilla³

et al. 2012

JMIR Res Protoc

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BackgroundType 2 diabetes (diabetes) is a serious threat to public health in the United States and disproportionally affects many racial/ethnic minority groups, including African Americans. Limited access to treatment and high attrition rates further contribute to health disparities in diabetes-related morbidity and mortality among minorities. Greater opportunities for increasing access and decreasing barriers to treatment are needed. Technology-based interventions have potential for accomplishing this goal but evidence of feasibility and potential effectiveness is lacking, especially for populations that traditionally have limited educational attainment and low computer literacy.ObjectiveThis paper describes the design and methods of a pilot randomized clinical trial that will compare the feasibility and potential efficacy of delivering a diabetes self-management intervention via a virtual world vs. a face-to-face format.MethodsStudy participants (n=100) will be African American women with uncontrolled type 2 diabetes recruited from primary care practices and affiliated health centers at a large safety net hospital in Massachusetts. Participants will be randomized into a virtual world-based (VW) intervention condition or a face-to-face control condition. Both conditions provide the same theory-based curriculum and equivalent exposure to the self-management program (eight group sessions), and both will be delivered by a single intervention team (a dietitian and a diabetes educator). Assessments will be conducted at baseline and 4 months. Feasibility will be determined by evaluating the degree to which participants engage in the VW-based intervention compared to face to face (number of sessions completed). Potential efficacy will be determined by comparing change in physiological (glycemic control) and behavioral (self-reported dietary intake, physical activity, blood glucose self-monitoring, and medication adherence) outcomes between the experimental and control groups.ResultsThe primary outcomes of interest are feasibility of the VW intervention and its potential efficacy on glucose control and diabetes self-management behaviors, compared to the face-to-face condition. Analysis will use a two-sample Kolmogorov-Smirnov test for changes in variable distribution. P values will be calculated using binomial tests for proportions and t tests for continuous variables.ConclusionsIf the intervention is found to be feasible and promising, it will be tested in a larger RCT.

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Television Watching, Diet Quality, and Physical Activity and Diabetes among Three Ethnicities in the United States

Cited by 33 publications

References 25 publications

Sedentary behaviour and diet across the lifespan: an updated systematic review

Sedentary behaviour and diet across the lifespan: an updated systematic review

Associations Between Television Viewing and Adiposity Among South Asians

Design and Methods for a Comparative Effectiveness Pilot Study: Virtual World vs. Face-to-Face Diabetes Self-Management

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