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Associations of dietary intake with cardiometabolic risk in a multi-ethnic cohort: a longitudinal analysis of the Determinants of Adolescence, now young Adults, Social well-being and Health (DASH) study.
Goff, LM, Huang, P, Silva, MJ, Bordoli, C, Enayat, EZ, Molaodi, OR, Cassidy, A, Maynard, M, Harding, S
The British journal of nutrition. 2019;121(9):1069-1079
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Plain language summary
Ethnic inequalities in a wide range of chronic diseases are well documented. Poor dietary habits in childhood may contribute to higher rates of chronic diseases such as type 2 diabetes (T2D), hypertension and Coronary Heart Disease (CHD). This study was a longitudinal follow-up of a subsample of the Determinants of Adolescent Social well-being and Health (DASH) study. The researchers aimed to identify dietary patterns and investigate their impact on chronic diseases in young adulthood. The study participants were 107 White British, 102 Black Caribbean, 132 Black African, 98 Indian, 111 Bangladeshi/Pakistani and 115 other/mixed ethnicity. Participants completed a 24-hour dietary intake recall and behaviour questionnaire at age 11-13yrs, and then again at age 21-23yrs. Body mass index (BMI), blood pressure, blood cholesterol and blood sugar were measured. The researchers found that dietary behaviours such as skipping breakfast and a low intake of fruit and vegetables were common. Rates of skipping breakfast and low fruit and vegetable consumption were highest among Black African and Black Caribbean participants. BMI and cholesterol levels in young adults were higher among those who regularly skipped breakfast. The researchers concluded that skipping breakfast is more common in certain ethnic groups and is associated with risk factors for chronic disease in young adults. They suggest that interventions to improve dietary habits could be targeted at specific population groups.
Abstract
Unfavourable dietary habits, such as skipping breakfast, are common among ethnic minority children and may contribute to inequalities in cardiometabolic disease. We conducted a longitudinal follow-up of a subsample of the UK multi-ethnic Determinants of Adolescent Social well-being and Health cohort, which represents the main UK ethnic groups and is now aged 21-23 years. We aimed to describe longitudinal patterns of dietary intake and investigate their impact on cardiometabolic risk in young adulthood. Participants completed a dietary behaviour questionnaire and a 24 h dietary intake recall; anthropometry, blood pressure, total cholesterol and HDL-cholesterol and HbA1c were measured. The cohort consisted of 107 White British, 102 Black Caribbean, 132 Black African, 98 Indian, 111 Bangladeshi/Pakistani and 115 other/mixed ethnicity. Unhealthful dietary behaviours such as skipping breakfast and low intake of fruits and vegetables were common (56, 57 and 63 %, respectively). Rates of skipping breakfast and low fruit and vegetable consumption were highest among Black African and Black Caribbean participants. BMI and cholesterol levels at 21-23 years were higher among those who regularly skipped breakfast at 11-13 years (BMI 1·41 (95 % CI 0·57, 2·26), P=0·001; cholesterol 0·15 (95 % CI -0·01, 0·31), P=0·063) and at 21-23 years (BMI 1·05 (95 % CI 0·22, 1·89), P=0·014; cholesterol 0·22 (95 % CI 0·06, 0·37), P=0·007). Childhood breakfast skipping is more common in certain ethnic groups and is associated with cardiometabolic risk factors in young adulthood. Our findings highlight the importance of targeting interventions to improve dietary behaviours such as breakfast consumption at specific population groups.
2.
Normalization of Plus Size and the Danger of Unseen Overweight and Obesity in England.
Muttarak, R
Obesity (Silver Spring, Md.). 2018;26(7):1125-1129
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Free full text
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Plain language summary
In the United Kingdom more than 25% of adults are classified as clinically obese, thus leading to a normalisation of overweight and obesity. As being 'plus size' becomes more common, there is an increase in weight status misperception that can potentially undermine the recognition of being overweight and its health consequences. The aim of this study was to explore the trends and socio-demographic factors underlying perceived weight status among the overweight or obese population in England. A cross-sectional study was done to collect data through face-to-face interviews and a self-completion questionnaire. The findings of this study showed that there is an increasing trend in misperceiving weight status between both men and women. The authors’ conclude this is possibly reflective of the normalisation of overweight and obesity and that it is vital for obesity prevention programs to consider socioeconomic inequalities for program effectiveness.
Abstract
OBJECTIVE This study aimed to investigate trends and sociodemographic factors underlying weight misperception in adults with overweight and obesity in England. METHODS This study used descriptive and logistic regression analyses based on a pooled nationally representative cross-sectional survey, Health Survey for England, for the years 1997, 1998, 2002, 2014, and 2015 of individuals with BMI ≥ 25 (n = 23,459). The main outcomes were (1) weight misperception and (2) weight-loss attempts as well as the associations with demographic and socioeconomic characteristics and health status. RESULTS The proportion of individuals with overweight and obesity misperceiving their weight status increased over time between 1997 and 2015 (37% to 40% in men; 17% to 19% in women). There were socioeconomic disparities in the misperception of weight status, with lower-educated individuals from poorer-income households and members of minority ethnic groups being more likely to underestimate their weight. Those underestimating their overweight and obesity status were 85% less likely to try to lose weight compared with people who accurately identified their weight status. CONCLUSIONS The upward trend in underassessment of overweight and obesity status in England is possibly a result of the normalization of overweight and obesity. Obesity prevention programs need to consider differential sociodemographic characteristics associated with underassessment of weight status.