Abstract MP88: Neighborhood-Level Socioeconomic Deprivation Predicts Weight Gain in a Multi-Ethnic Population: Longitudinal Data from the Dallas Heart Study

Circulation ◽  
2013 ◽  
Vol 127 (suppl_12) ◽  
Author(s):  
Priscilla Agyemang ◽  
Colby Ayers ◽  
Min Lian ◽  
Sandeep Das ◽  
Christine Hoehner ◽  
...  
Keyword(s):  
Physical Activity ◽  
Weight Gain ◽  
Weight Change ◽  
Socioeconomic Deprivation ◽  
Neighborhood Environment ◽  
Dallas County ◽  
Heart Study ◽  
Deprived Neighborhoods ◽  
Dallas Heart Study ◽  
Neighborhood Level

Background: Although neighborhood-level socioeconomic deprivation associates with prevalent obesity, its relationship to individual-level weight change over time is poorly elucidated. Few studies have evaluated the impact of behavioral and psychosocial factors on this relationship. Methods: We examined the relationship between neighborhood-level socioeconomic deprivation and weight change among those who did not move in the 7-year study period (N=955) of the Dallas Heart Study (DHS), a multi-ethnic, population-based sample of Dallas County residents aged 18-65. Baseline weight measurements were performed in 2000-02 and weight was re-measured at 7-year follow-up. Home addresses obtained at baseline and follow-up were geocoded and linked to residential census tracts in Dallas County. A neighborhood deprivation index (NDI) for DHS participants was created using factor analysis of 21 census-tract neighborhood characteristics, with higher scores indicating more socioeconomic deprivation. Repeated-measures linear mixed modeling with random effects was used to determine weight change (kg) relative to tertiles of NDI. Reported physical activity (yes/no: exercised <150 mets/min-wk) and perceptions of neighborhood environment (questionnaire-derived score with higher score = more unfavorable perceptions of neighborhood violence, aesthetics, and social cohesion) were examined as mediators. Results: DHS participants living in more socioeconomically deprived neighborhoods had lower income and education (p-trend <0.001 for both). Blacks were more likely to live in more socioeconomically deprived neighborhoods than whites and Hispanics (p<0.001). Adjusting for age, sex, race, smoking, education, and income as fixed effects, DHS participants living in the most socioeconomically deprived neighborhoods (highest NDI tertile) gained 5.8±2.5 more kilograms (p=0.02) over the 7-year period compared to those in the least deprived neighborhoods. Living in the most socioeconomically deprived neighborhoods remained associated with a 6.4±2.5 kg greater increase in weight (p=0.01) compared to living in the least deprived neighborhoods after adjustment for physical activity levels and a 6.6±2.6 kg greater increase in weight (p=0.01) after adjustment for perceptions of neighborhood environment. Conclusions: Living in more socioeconomically deprived neighborhoods is associated with greater weight gain among DHS participants over a 7-year period. This relationship does not appear to be fully explained by lower levels of physical activity or unfavorable perceptions of the neighborhood environment. In Dallas County, the high risk for greater weight gain among people living in socioeconomically deprived neighborhoods supports the need to develop targeted community-based interventions to address obesity and reduce disparities in cardiovascular risk.

Abstract P151: Neighborhood-Level Socioeconomic Deprivation Is Associated with Diabetes Mellitus in a Multi-Ethnic Population: The Dallas Heart Study

Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Michael McClurkin ◽  
Colby Ayers ◽  
Tammy Leonard ◽  
Rebecca Cooper-McCann ◽  
Christine Hoehner ◽  
...  
Keyword(s):  
Socioeconomic Deprivation ◽  
Self Report ◽  
Metabolic Risk Factor ◽  
Metabolic Risk ◽  
Ethnic Population ◽  
Dallas County ◽  
Heart Study ◽  
Dallas Heart Study ◽  
The Relationship ◽  
Neighborhood Level

Background: Although neighborhood-level socioeconomic deprivation has been associated with obesity, its relationship with diabetes, a cardio-metabolic risk factor and determinant of cardiovascular health, is poorly understood. Methods and Results: We examined the relationship between neighborhood-level socioeconomic deprivation and prevalent diabetes in the Dallas Heart Study (DHS), a multi-ethnic, population-based sample of Dallas County residents aged 18-65 (N=1621). Participants underwent detailed examination between 2000-2002. Geo-coded home addresses defined neighborhood block groups; a neighborhood-level deprivation index (NDI) for Dallas County was created using factor analysis based on 21 Census block-group characteristics (higher scores=greater neighborhood-level deprivation). Diabetes was defined by self-report, use of anti-hyperglycemic medication, or fasting glucose≥126 mg/dl. Logistic regression modeling was used to determine odds of prevalent diabetes for those in highest vs. lowest NDI tertile. In DHS, diabetes prevalence was 5%, 13%, and 16% across NDI tertiles (p<0.001). In modeling diabetes, we found a significant interaction between race and NDI (p=0.03); therefore, models were race-stratified. White, Hispanic, and black DHS participants in neighborhoods in the highest NDI tertile were up to seven times more likely to have diabetes than those living in the lowest tertile (Table). In whites and Hispanics, higher deprivation remained associated with a greater likelihood of diabetes after adjustment for age, sex, smoking, and education and was only attenuated after adjusting for income. In contrast, adjustment for confounders attenuated the relationship between NDI and diabetes among blacks. Conclusions: Residing in socioeconomically deprived neighborhoods is associated with prevalent diabetes among whites and Hispanics in DHS. These data suggest racial/ethnic disparities in cardio-metabolic risk within areas of higher socioeconomic deprivation in Dallas County.

scholarly journals Neighborhood-level socioeconomic deprivation predicts weight gain in a multi-ethnic population: Longitudinal data from the Dallas Heart Study

2014 ◽  
Vol 66 ◽  
pp. 22-27 ◽  
Author(s):  
Tiffany M. Powell-Wiley ◽  
Colby Ayers ◽  
Priscilla Agyemang ◽  
Tammy Leonard ◽  
David Berrigan ◽  
...  
Keyword(s):  
Weight Gain ◽  
Longitudinal Data ◽  
Socioeconomic Deprivation ◽  
Ethnic Population ◽  
Heart Study ◽  
Dallas Heart Study ◽  
Neighborhood Level

scholarly journals Association between neighborhood-level socioeconomic deprivation and incident hypertension: A longitudinal analysis of data from the Dallas heart study

2018 ◽  
Vol 204 ◽  
pp. 109-118 ◽  
Author(s):  
Sophie E. Claudel ◽  
Joel Adu-Brimpong ◽  
Alnesha Banks ◽  
Colby Ayers ◽  
Michelle A. Albert ◽  
...  
Keyword(s):  
Longitudinal Analysis ◽  
Socioeconomic Deprivation ◽  
Incident Hypertension ◽  
Heart Study ◽  
Dallas Heart Study ◽  
Neighborhood Level

Abstract 003: Change in Cardiovascular Risk Factors Associated with Weight Gain in the Dallas Heart Study

Circulation ◽  
2012 ◽  
Vol 125 (suppl_10) ◽  
Author(s):  
Tiffany M Powell ◽  
Colby R Ayers ◽  
James A de Lemos ◽  
Amit Khera ◽  
Susan G Lakoski ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Risk ◽  
Weight Gain ◽  
Cardiovascular Risk Factors ◽  
Average Weight ◽  
Men And Women ◽  
Significant Weight Gain ◽  
Heart Study ◽  
Dallas Heart Study ◽  
The Impact

Background: Concerning trends in weight gain from 2000-2009 exist in the Dallas Heart Study (DHS), a probability-based sample of Dallas County residents aged 30-65. However, the impact of significant weight gain (≥ 5% increase in body weight) on cardiovascular risk factors (CVRF) in this contemporary, multi-ethnic population is not known. Methods: We measured weight, LDL-c, blood pressure (SBP and DBP), and fasting glucose (FG) in 2,022 DHS participants (58% female) at study entry in 2000 and in 2009. Using logistic regression stratified by sex and race/ethnicity, we determined the age-adjusted odds of worsening CVRF (any increase in LDL-c, SBP, DBP or FG) for people who gained significant weight compared to those who did not. Results: Among women, 43% (N=500) gained significant weight, compared to 42% of men (N=355). Despite similar average weight gain (9.7±5.8 kg for women vs. 10±5.6 kg for men, p=0.4), women who gained significant weight had almost twice as large an increase in LDL-c (14±34 vs. 8±39 mg/dl, p=0.01) and SBP (12±18 vs. 6±19 mmHg, p<0.001) compared with men who gained significant weight. Increases in DBP (5±10 vs. 4±11 mmHg, p=0.05) and FG (4±29 vs. 2±32 mg/dl, p=0.30) were not significantly different between men and women. Among those with significant weight gain who were not on medications, SBP and LDL-c increases were higher in women compared with men (p<0.05). Differences in the amount of weight gained stratified by race and sex were modest (Table). Black women who gained significant weight were likely to have a worsening of all CVRF, while Hispanic women had the highest likelihood of having an increase in SBP associated with weight gain. In contrast, significant weight gain among men was not associated with worsening CVRF. Conclusions: Significant weight gain was associated with a deleterious impact on CVRF among women but not men. Disparate effects of weight gain between men and women highlight the importance of targeting aggressive weight control interventions toward women to help prevent adverse cardiac outcomes.

scholarly journals 607Longitudinal weight gain and lifestyle factors in women with and without polycystic ovary syndrome

2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Mamaru Ayenew Awoke ◽  
Arul Earnest ◽  
Anju Joham ◽  
Allison Hodge ◽  
Wendy Brown ◽  
...  
Keyword(s):  
Physical Activity ◽  
Weight Gain ◽  
Polycystic Ovary Syndrome ◽  
Energy Intake ◽  
Glycemic Index ◽  
Weight Change ◽  
Polycystic Ovary ◽  
Lifestyle Factors ◽  
Sitting Time ◽  
Ovary Syndrome

Abstract Background Women with polycystic ovary syndrome (PCOS) have a higher prevalence of overweight/obesity and greater weight gain than women without PCOS. The association of lifestyle factors with weight change in PCOS is not known. Methods We used data from the 1973-78 birth cohort of the Australian Longitudinal Study on Women’s Health collected from seven surveys over 19 years (N = 14127 survey 1). Linear mixed-effects models were used to examine associations between diet, physical activity, and sitting time with weight change, after adjustment for socio-demographics, psychological factors, and health care utilisation. Results Women with PCOS gained more weight annually (0·26 kg/year, 95% CI 0·13, 0·39; P &lt; 0·0001) and over 19 years (4·75 kg; 95% CI 3·17, 6·34; P &lt; 0·0001) than women without PCOS (adjusted analyses). For all women, there were positive associations between weight gain and energy intake, sitting time, and stress; inverse associations with fibre intake and physical activity; and no associations with diet quality, glycemic index, healthcare utilization, depression, or anxiety. There were interactions between lifestyle factors (energy intake P = 0·006, glycemic index P = 0·007, sitting time P = 0·029, and physical activity P = 0·022), PCOS status and time (age) such that weight gain varied between women with and without PCOS according to these factors. Conclusions Women with PCOS had a higher rate of weight gain than women without PCOS. This was most marked in those with indicators of unhealthy lifestyles. Increased stress, energy intake and sitting time and lower physical activity contributed to weight gain in women with and without PCOS. Key messages The findings reinforce the importance of early and ongoing lifestyle intervention and the potential use of specific lifestyle factors for weight gain prevention and management in PCOS.

Abstract P051: Lifestyle Change In Mid-life And Long-term Weight Gain In Women With And Without History Of Gestational Diabetes Mellitus

Circulation ◽  
2021 ◽  
Vol 143 (Suppl_1) ◽  
Author(s):  
Jiaxi Yang ◽  
Janet Rich-Edwards ◽  
Molin Wang ◽  
Wafaie W Fawzi ◽  
Cuilin Zhang ◽  
...  
Keyword(s):  
Physical Activity ◽  
Diabetes Mellitus ◽  
Body Weight ◽  
Weight Gain ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Weight Change ◽  
Lifestyle Change ◽  
History Of

Introduction: Identifying strategies to mitigate gradual long-term weight gain is critical for preventing obesity and its related chronic diseases, particularly for persons at high risk, such as women with a history of gestational diabetes mellitus (GDM). We prospectively examined the independent associations between lifestyle changes in mid-life with long-term weight change among women with and without a history of GDM. Hypothesis: We hypothesized that favorable improvements in lifestyle would be associated with less long-term weight gain, particularly among women with a history of GDM. Methods: We used data from the longitudinal Nurses’ Health Study II, with self-reported lifestyle, diet via food frequency questionnaire, and body weight updated every 2-4 years. We analyzed repeated 4-year changes of the following lifestyle factors among parous women after age 40: adherence to a healthy dietary pattern (Alternate Healthy Eating Index score [AHEI]), physical activity (MET-hrs/wk), moderate alcohol intake (servings/d), and non-smoking, in relation to concurrent 4-year change in body weight (lb). We used multivariable generalized estimating equation models to estimate the least-squares mean of 4-year weight change and 95% confidence interval (CI) for each lifestyle change category (e.g., decrease, remain stable, and increase). Results: Our analysis included 61,637 women, of which 3,444 (5.6%) had a history of GDM. Mean of repeated 4-year weight change after age 40 was 3.0 lb (SD=14.3). Improving diet was associated with favorable 4-year weight change, particularly among women with a history of GDM vs. without GDM (AHEI score change from low to high: -6.3 lb [CI: -9.3, -3.4] vs. -2.7 lb [CI: -3.2, -2.2], respectively; p-interaction=0.04). Increasing physical activity was associated with weight maintenance for GDM women only (MET-hrs/wk change from low to high: 0.6 lb [95% CI: -0.6, 1.7] vs. 2.0 lb [95% CI: 1.8, 2.2] for GDM vs. non-GDM, respectively; p-interaction=0.01). Reducing alcohol (decreased servings/d: 1.9 lb [95% CI: 1.2, 2.6] and 2.8 lb [95% CI: 2.6, 2.9] for GDM vs. non-GDM, respectively) and smoking cessation (recent quitter: 9.8 lb [95% CI: 7.1, 12.5] and 8.5 lb [95% CI: 8.0, 9.1] for GDM vs. non-GDM, respectively) were associated with similar patterns in weight change for women with and without prior GDM. Further, the joint association of improving both diet and physical activity from low to high was related to -12.3 lb (95% CI: -19.5, -5.0) and -6.1 lb (95% CI: -8.0, -4.2) of weight loss for GDM vs. non-GDM women, respectively. Conclusions: We observed that attainable improvements in diet quality and physical activity were associated with weight gain prevention. These findings support continued efforts to improve lifestyle as a beneficial strategy to prevent long-term weight gain, particularly among women with a history of GDM.

scholarly journals Objectively-measured physical activity patterns and longitudinal weight category status in a rural setting

2019 ◽  
Author(s):  
Ian Cook
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Weight Gain ◽  
Energy Expenditure ◽  
Body Mass ◽  
Weight Change ◽  
Rural Setting ◽  
Stable Group ◽  
Objectively Measured ◽  
Objectively Measured Physical Activity

Abstract Objectives To investigate the relationship between longitudinal weight-change and objectively-measured physical activity in a rural African setting in 143 adults, using data from two cross-sectional surveys, separated by approximately ten years. Participants who had data for age, sex, body mass and stature measured in two health surveys were categorised into three weight-change groups (Weight-loss: ≥25 kg.m-2→<25 kg.m-2; Weight-gain: <25 kg.m-2→≥25 kg.m-2; Weight-stability: remained <25 kg.m-2 or ≥25 kg.m-2). Daily ambulation and energy expenditure, measured in the 2005-7 health survey, was examined across the weight change groups. Using the daily energy expenditure data, the proportion of those in the weight-change groups, meeting or not meeting two physical activity guidelines (150- and 420 min.wk-1), was examined. Results Weight-change was found in 18.2% of the sample. There was no significant overall body mass change (+1.2 kg, p=0.1616). However, there was significant change in body mass in the weight-gain (+15.2 kg) and weight-loss (-10.8 kg) groups (p≤0.0011). Nearly 90% of those who gained weight met the 150 min.wk-1 guideline. A significantly greater proportion of the weight-stable group (<25 kg.m-2) met the 420 min.wk-1 guideline (p<0.05). Ambulatory level was high irrespective of weight group, although the weight-stable group (<25 kg.m-2) approached 15 000 steps.day-1.

scholarly journals Transiting out of Full-time National Service: A Qualitative Study of Barriers and Motivators of Weight Change in Young Adult Men

2020 ◽  
Author(s):  
Mary Foong-Fong Chong ◽  
Hui Xian Lim ◽  
Beverly Wen Xin Wong ◽  
Zi Han Chi ◽  
JK Inthujaa ◽  
...  
Keyword(s):  
Physical Activity ◽  
Weight Gain ◽  
Healthy Eating ◽  
Weight Change ◽  
Young Men ◽  
Food Choices ◽  
Healthy Food ◽  
Full Time ◽  
National Service ◽  
Barriers And Motivators

Abstract Background A higher prevalence of obesity in men compared to women, particularly amongst those 18 to 40 years of age, has been observed in Singapore. We hypothesised that poor adaptation during the transition out of full-time National Service (NS) among young men may have contributed to weight gain and we sought to understand these underlying drivers. Methods In-depth interviews were conducted with young men (n=26; aged 19-25 years), 12 months after they had completed full-time NS. The interviews were guided by the health belief model to elicit perceived factors influencing weight change during the transition period, as well as barriers and motivators in weight management. Data was collected and cross-checked by two researchers, and analysed using the thematic analysis approach. Results The participants generally perceived themselves to be less fit and less healthy one year later, as compared to during full-time NS. They felt that reduced physical activity levels and unhealthy eating behaviours contributed to their perceived weight gain. However, they did not have immediate concerns about their perceived change in weight. While most were aware of the benefits of regular physical activity, benefits of healthy eating were rarely mentioned. Many did not view healthy lifestyle behaviours as a current priority, citing reasons which included: Time pressures, incongruence with current lifestyle, or poor self-motivation. Other barriers included a lack of access to healthy food choices and insufficient common leisure time to exercise with peers. Motivators for these lifestyle behaviours were mostly intrinsic, including interest in a particular sport, having personal fitness goals and personal preferences for healthy food options. Participants also described healthy eating as a means to compensate for inactivity or unhealthy food choices. Extrinsic motivators included peer influence, access to sports facilities, healthy food options and monetary incentives.ConclusionThere remains a need to educate young men transiting out of full-time NS on lifestyle, weight and health, and address their misconceptions in particular. Creating a healthy environment and providing appropriate incentives would be important to facilitate a smooth transition out of full-time NS, minimising the risk of unhealthy weight gain in young men.

scholarly journals Objectively-measured physical activity patterns and longitudinal weight category status in a rural setting

2019 ◽  
Author(s):  
Ian Cook
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Weight Gain ◽  
Body Mass ◽  
Weight Change ◽  
Rural Setting ◽  
Stable Group ◽  
Weight Category ◽  
Objectively Measured ◽  
Objectively Measured Physical Activity

Abstract Objectives: To investigate the relationship between longitudinal weight-change and objectively-measured physical activity (PA) in a rural African setting in 143 adults (≥30 years), using data from two cross-sectional surveys, separated by approximately ten years. Participants were categorised into three weight-change groups (Weight-loss: ≥25 kg.m-2→<25 kg.m-2; Weight-gain: <25 kg.m-2→≥25 kg.m-2; Weight-stability: remained <25 kg.m-2 or ≥25 kg.m-2). Daily ambulation and activity energy expenditure (AEE), measured in the 2005-7 health survey, was examined across the weight-change groups. Using the daily AEE data, the proportion of those in the weight-change groups, meeting or not meeting two PA guidelines (150- and 420 min.wk-1), was examined. Results: Weight-change was found in 18.2% of the sample. There was no significant overall body mass change (+1.2 kg, p=0.1616). However, there was significant change in body mass in the weight-gain (+15.2 kg) and weight-loss (-10.8 kg) groups (p≤0.0011). Nearly 90% of those who gained weight met the 150 min.wk-1 guideline. A significantly greater proportion of the weight-stable group (<25 kg.m-2) met the 420 min.wk-1 guideline (p<0.05). Ambulatory level was high irrespective of weight group, although the weight-stable group (<25 kg.m-2) approached 15 000 steps.day-1. There was an inconsistent and weak association between PA and weight-change in this group.

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