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This study aimed to examine the impact of employment transitions (ETs) on anthropometric changes among middle-aged and older workers (ages 45y+). Using two waves of data from the Canadian Longitudinal Study on Aging, we analyzed the impact of ETs (stayed working, entered retirement, and stopped working) on change in body weight and waist circumference (WC) on continuous scales as well as categories (≥5% cut-off). Analyses were sex/gender-stratified. Women did not show significant weight or WC change that differed across ETs, but estimated directions suggested those who stopped working were more likely to have ≥5% change in weight. Estimated directions of continuous outcomes for women who stopped working relative to continued workers showed less weight gain and more WC gain. Men who retired gained less weight and had smaller WC gain compared to reference. The findings imply that the short-run impact of exiting the labor force may not exacerbate weight gain. [ABSTRACT FROM AUTHOR]

ObjectiveTo examine changes in minimum wage associated with changes in women's weight status.DesignLongitudinal study of legislated minimum wage levels (per month, purchasing power parity-adjusted, 2011 constant US dollar values) linked to anthropometric and sociodemographic data from multiple Demographic and Health Surveys (2000-2014). Separate multilevel models estimated associations of a $10 increase in monthly minimum wage with the rate of change in underweight and obesity, conditioning on individual and country confounders. Post-estimation analysis computed predicted mean probabilities of being underweight or obese associated with higher levels of minimum wage at study start and end.SettingTwenty-four low-income countries.SubjectsAdult non-pregnant women (n 150 796).ResultsHigher minimum wages were associated (OR; 95 % CI) with reduced underweight in women (0·986; 0·977, 0·995); a decrease that accelerated over time (P-interaction=0·025). Increasing minimum wage was associated with higher obesity (1·019; 1·008, 1·030), but did not alter the rate of increase in obesity prevalence (P-interaction=0·8). A $10 rise in monthly minimum wage was associated (prevalence difference; 95 % CI) with an average decrease of about 0·14 percentage points (-0·14; -0·23, -0·05) for underweight and an increase of about 0·1 percentage points (0·12; 0·04, 0·20) for obesity.ConclusionsThe present longitudinal multi-country study showed that a $10 rise in monthly minimum wage significantly accelerated the decline in women's underweight prevalence, but had no association with the pace of growth in obesity prevalence. Thus, modest rises in minimum wage may be beneficial for addressing the protracted underweight problem in poor countries, especially South Asia and parts of Africa.

ObjectivesTo describe the relationship between minimum wage and overweight and obesity across countries at different levels of development.MethodsA cross-sectional analysis of 27 countries with data on the legislated minimum wage level linked to socio-demographic and anthropometry data of non-pregnant 190,892 adult women (24-49 y) from the Demographic and Health Survey. We used multilevel logistic regression models to condition on country- and individual-level potential confounders, and post-estimation of average marginal effects to calculate the adjusted prevalence difference.ResultsWe found the association between minimum wage and overweight/obesity was independent of individual-level SES and confounders, and showed a reversed pattern by country development stage. The adjusted overweight/obesity prevalence difference in low-income countries was an average increase of about 0.1 percentage points (PD 0.075 [0.065, 0.084]), and an average decrease of 0.01 percentage points in middle-income countries (PD -0.014 [-0.019, -0.009]). The adjusted obesity prevalence difference in low-income countries was an average increase of 0.03 percentage points (PD 0.032 [0.021, 0.042]) and an average decrease of 0.03 percentage points in middle-income countries (PD -0.032 [-0.036, -0.027]).ConclusionThis is among the first studies to examine the potential impact of improved wages on an important precursor of non-communicable diseases globally. Among countries with a modest level of economic development, higher minimum wage was associated with lower levels of obesity.

Background Sleep debt is linked to poor health behaviours, and adolescents may be especially vulnerable to deficit from the mismatch of their late chronotype with socially determined sleep timing. We aimed to investigate the potential association between social jetlag and sugar-sweetened beverages (SSBs) consumption among adolescents. Methods Cross-sectional data from 1031 adolescents (13–18 years) who participated in the population-based British Columbia Adolescent Substance Use Survey in 2012. Regression analysis using interaction terms estimated the associations between social jetlag (using self-reported weekday/weekends sleep times) and odds of SSB intake in girls and boys. Results On average, adolescents reported 1.59 (SD 0.73) hours of social jetlag, but girls had significantly more social jetlag (1.64) than boys (1.52). Most adolescents (84%) reported consuming SSBs, and significantly more boys (87%) than girls (81%); median SSB intake in boys was 1–2 times per week and in girls less than once per week. Significant differences in girls consuming any SSB were seen across levels of social jetlag. The odds of any SSB intake were significantly higher in adolescents with social jetlag between 1 and 2 h [odds ratio (OR): 1.6 (1.14–2.38)] and over 2 h [OR 1.87 (1.11–3.14)], compared with 1 h or less; associations were stronger and only significant in girls. Conclusions This study is the first to show social jetlag is a common sleep deficit that is associated with SSB intake in adolescents, particularly among teen girls. [ABSTRACT FROM AUTHOR]

The role of dietary diversity in chronic disease or survival is controversial. This meta-analysis quantified the health impact of dietary diversity. Random-effects models pooled risk ratios (RRs) and 95% confidence intervals (CIs) of 20 longitudinal studies. Total dietary diversity was associated with a 22% lower risk of all-cause mortality (RR 0.78 [95%CI: 0.64, 0.96]), and was inversely associated with incident cancer- or CVD-specific mortality only in subgroup analyses (RR range: 0.53 to 0.90, p < 0.05). Similarly, diversity across healthy foods was inversely associated with all-cause mortality (RR 0.84 [95%CI: 0.73, 0.96]). An inverse association between total diet diversity and incident CVD was significant in non-European populations consuming diets with diverse food groups (RR: 0.93 [95% CI: 0.86-0.99]). Effects on cancer risk are unstudied. Diversity within fruits and/or vegetables showed null associations for all outcomes, except potentially for squamous cell-type carcinomas. More robust research is warranted. Findings indicated greater dietary diversity may benefit overall survival. [ABSTRACT FROM AUTHOR]

Background Diet is a key modifiable risk factor for multiple chronic conditions, including type 2 diabetes (T2D). Consuming a range of foods from the five major food groups is advocated as critical to healthy eating, but the association of diversity across major food groups with T2D is not clear and the relationship of within-food-group diversity is unknown. In addition, there is a growing price gap between more and less healthy foods, which may limit the uptake of varied diets. The current study had two aims: first, to examine the association of reported diversity of intake of food groups as well as their subtypes with risk of developing T2D, and second, to estimate the monetary cost associated with dietary diversity. Methods and Findings A prospective study of 23,238 participants in the population-based EPIC-Norfolk cohort completed a baseline Food Frequency Questionnaire in 1993-1997 and were followed up for a median of 10 y. We derived a total diet diversity score and additional scores for diversity within each food group (dairy products, fruits, vegetables, meat and alternatives, and grains). We used multivariable Cox regression analyses for incident diabetes (892 new cases), and multivariable linear regression for diet cost. Greater total diet diversity was associated with 30% lower risk of developing T2D (Hazard ratio [HR] 0.70 [95% CI 0.51 to 0.95]) comparing diets comprising all five food groups to those with three or fewer, adjusting for confounders including obesity and socioeconomic status. In analyses of diversity within each food group, greater diversity in dairy products (HR 0.61 [0.45 to 0.81]), fruits (HR 0.69 [0.52 to 0.90]), and vegetables (HR 0.67 [0.52 to 0.87]) were each associated with lower incident diabetes. The cost of consuming a diet covering all 5 food groups was 18% higher (£4.15/day [4.14 to 4.16]) than one comprising three or fewer groups. Key limitations are the self-reported dietary data and the binary scoring approach whereby some food groups contained both healthy and less healthy food items. Conclusions A diet characterized by regular consumption of all five food groups and by greater variety of dairy, fruit, and vegetable subtypes, appears important for a reduced risk of diabetes. However, such a diet is more expensive. Public health efforts to prevent diabetes should include food price policies to promote healthier, more varied diets., Author(s): Annalijn I. Conklin 1,2, Pablo Monsivais 1, Kay-Tee Khaw 3, Nicholas J. Wareham 1, Nita G. Forouhi 1,* Introduction Non-communicable diseases present a significant challenge to both high-income and [...]