Does Food Group Consumption Vary by Differences in Socioeconomic, Demographic, and Lifestyle Factors in Young Adults? The Bogalusa Heart Study

Deshmukh-Taskar, Priya; Nicklas, Theresa A.; Yang, Su‐Jau; Berenson, Gerald S.

doi:10.1016/j.jada.2006.11.004

Cited by 142 publications

(135 citation statements)

References 62 publications

(102 reference statements)

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“…Our findings illuminate other reports of socio-economic and racial/ethnic differences in fruit and vegetable consumption. Analysing data obtained from 1266 young adult African American and European American men and women aged 20-38 years enrolled in the Bogalusa Heart Study, Deshmukh-Taskar et al reported that race and education, but not income, were associated with fruit and vegetable consumption (13) . However, they did not examine these associations in a multivariate model that included neighbourhood SES.…”

Section: Discussionmentioning

confidence: 99%

Social disparities in dietary habits among women: Geographic Research on Wellbeing (GROW) Study

Wang

Heck

Winkleby³

et al. 2015

Public Health Nutr.

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Objective: Relationships among race/ethnicity, individual socio-economic status (SES), neighbourhood SES and acculturation are complex. We sought to answer whether: (i) race/ethnicity, individual SES and neighbourhood SES have independent effects on women's fruit and vegetable consumption (FVC); (ii) SES modifies the effects of race/ethnicity on FVC; and (iii) nativity modifies the effect of Latina ethnicity on FVC. Design: Cross-sectional surveys from the population-based Geographic Research on Wellbeing (GROW) Study were linked with census-tract level data. FVC was indicated by (i) consuming fruits and vegetables less often than daily (LOWFV) and (ii) not having fruits and vegetables in the home very often. Other variables included age, marital status, race/ethnicity, country of birth, educational attainment, family income and longitudinal neighbourhood poverty (based on latent class growth models). Weighted logistic regression models accounting for the complex sample design were constructed. Setting: California, USA, 2012-2013. Subjects: Women (n 2669). Results: In adjusted models, race/ethnicity, education and income were independently associated with FVC, but not neighbourhood poverty. Women of colour, high-school graduates and women with incomes at 301-400 % of the federal poverty level were at higher odds of LOWFV compared with non-Hispanic Whites, college graduates and those with incomes >400 % of the federal poverty level. Little evidence for interactions between race/ethnicity and individual or neighbourhood SES was found; similar patterns were observed for immigrant and US-born Latinas. Conclusions: Addressing the dietary needs of lower-SES communities requires multilevel interventions that simultaneously provide culturally tailored nutrition education and address the physical and economic accessibility of culturally acceptable fruits and vegetables.

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Section: Discussionmentioning

confidence: 99%

Social disparities in dietary habits among women: Geographic Research on Wellbeing (GROW) Study

Wang

Heck

Winkleby³

et al. 2015

Public Health Nutr.

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“…According to evidence, it appears that milk and dairy consumption might be a marker of SES, with lower intake seen in lower-SES households [60], [61] and [62]. It has been postulated that the rise of healthy food consumption seen in higher SES households may be caused by the knowledge and health awareness or the increased pressures exerted to attain social acceptability, which occurs when SES increases [60]. Parental health awareness may help children and adolescents develop strategies for choosing healthy foods at home and in social situations.…”

Section: Discussionmentioning

confidence: 99%

Intake of milk, but not total dairy, yogurt, or cheese, is negatively associated with the clustering of cardiometabolic risk factors in adolescents

Abreu

Moreira

et al. 2014

Nutrition Research

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Epidemiologic studies have reported an inverse association between dairy product consumption and cardiometabolic risk factors in adults, but this relation is relatively unexplored in adolescents. We hypothesized that a higher dairy product intake is associated with lower cardiometabolic risk factor clustering in adolescents. To test this hypothesis, a cross-sectional study was conducted with 494 adolescents aged 15 to 18 years from the Azorean Archipelago, Portugal. We measured fasting glucose, insulin, total cholesterol, high-density lipoprotein cholesterol, triglycerides, systolic blood pressure, body fat, and cardiorespiratory fitness. We also calculated homeostatic model assessment and total cholesterol/high-density lipoprotein cholesterol ratio. For each one of these variables, a z score was computed using age and sex. A cardiometabolic risk score (CMRS) was constructed by summing up the z scores of all individual risk factors. High risk was considered to exist when an individual had at least 1 SD from this score. Diet was evaluated using a food frequency questionnaire, and the intake of total dairy (included milk, yogurt, and cheese), milk, yogurt, and cheese was categorized as low (equal to or below the median of the total sample) or "appropriate" (above the median of the total sample).The association between dairy product intake and CMRS was evaluated using separate logistic regression, and the results were adjusted for confounders. Adolescents with high milk intake had lower CMRS, compared with those with low intake (10.6% vs 18.1%, P = .018). Adolescents with appropriate milk intake were less likely to have high CMRS than those with low milk intake (odds ratio, 0.531; 95% confidence interval, 0.302-0.931). No association was found between CMRS and total dairy, yogurt, and cheese intake. Only milk intake seems to be inversely related to CMRS in adolescents.

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“…In addition, previous works that took several socio-economic indicators into account showed ambiguous results (13,19,22,39,51,52) . A cultureoriented hypothesis might explain our results: cheese is commonly consumed in France during lunch or as a snack by the entire population; thus, no socio-economic differences were found.…”

Section: Dairy Productsmentioning

confidence: 98%

Socio-economic indicators are independently associated with intake of animal foods in French adults

Méjean

Hassen

Lecossais

et al. 2016

Public Health Nutr.

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Objective: The specific role of major socio-economic indicators (education, occupation, income) in influencing consumer choice of animal foods (AF) intake could reveal distinct socio-economic facets, thus enabling elucidation of mechanisms leading to social inequalities in health. We investigated the independent association of each indicator with intake of different AF and their effect modification. Design: Cross-sectional study. AF intake was estimated using three 24 h dietary records. Associations between socio-economic factors and AF intake and interactions between socio-economic indicators were assessed using ANCOVA adjusted for age and energy intake. Analyses were performed separately for men and women, since gender interactions were found. Setting: France. Subjects: Adults (n 92 036) participating in the NutriNet-Santé Study. Results: Low educated persons had higher intake of red meat (+9-12 g/d), processed meat (+6-9 g/d) and poultry (for men, +7 g/d) than those with a higher education level. Percentage of fish consumers was lower in individuals of the lowest income class compared with those in higher classes. Manual workers had a higher intake of cream desserts (for men, +14 g/d) than managerial staff. Few significant interactions were found. In stratified analyses, persons with the highest income consumed more yoghurt than those who had lower income, only in low educated individuals. Conclusions: Socio-economic disparities in AF intake varied according to the socio-economic indicator, suggesting the specific influence of each indicator on AF intake. In particular, lower education was associated with higher intake of red and processed meats and cream desserts, and had an effect modification on the relationship between income and AF intake.

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Does Food Group Consumption Vary by Differences in Socioeconomic, Demographic, and Lifestyle Factors in Young Adults? The Bogalusa Heart Study

Cited by 142 publications

References 62 publications

Social disparities in dietary habits among women: Geographic Research on Wellbeing (GROW) Study

Social disparities in dietary habits among women: Geographic Research on Wellbeing (GROW) Study

Intake of milk, but not total dairy, yogurt, or cheese, is negatively associated with the clustering of cardiometabolic risk factors in adolescents

Socio-economic indicators are independently associated with intake of animal foods in French adults

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