There are no longitudinal studies investigating determinants of incident and persistent depressive symptoms in Southeast Asia.

To estimate the proportion and correlates of incident and persistent depressive symptoms in a prospective cohort study among middle-aged and older adults (≥45 years) in Thailand.

We analysed longitudinal data from the Health, Aging, and Retirement in Thailand (HART) surveys in 2015 and 2017. Depressive symptoms were assessed using the Center for Epidemiologic Studies Depression Scale. Logistic regression was used to calculate predictors of incident and persistent depressive symptoms.

In total, 290 of 4528 participants without depressive symptoms in 2015 had incident depressive symptoms in 2017 (9.8%) and 76 of 640 adults had persistent depressive symptoms (in both 2015 and 2017) (18.3%). In adjusted logistic regression analysis, having diabetes (adjusted odds ratio AOR = 1.48, 95% CI 1.07–2.05), musculoskeletal conditions (AOR = 1.56, 95% CI 1.01–2.41) and having three or more chronic conditions (AOR = 2.55, 95% CI 1.67–3.90) were positively associated and higher subjective economic status (AOR = 0.47, 95% CI 0.31–0.72) and social participation (AOR = 0.66, 95% CI 0.49–0.90) were inversely associated with incident depressive symptoms. Having a cardiovascular disease (AOR = 1.55, 95% CI 1.01–2.39) and having three or more chronic conditions (AOR = 2.47, 95% CI 1.07–5.67) were positively associated and social participation (AOR = 0.48, 95% CI 0.26–0.87) was inversely associated with persistent depressive symptoms.

One in ten middle-aged and older adults had incident depressive symptoms at 2-year follow-up. The prevalence of incident and/or persistent depression was higher in people with a lower subjective economic status, low social participation, diabetes, musculoskeletal disorders, cardiovascular conditions and a higher number of chronic diseases.

The World Cancer Research Fund (WCRF) and the American Institute for Cancer Research (AICR) publish recommendations for cancer prevention. The present study aimed to estimate the association between adherence to these cancer-specific prevention recommendations and subsequent development of cancer in a prospective cohort.

A composite adherence score was constructed based on questionnaire data to reflect overall adherence to WCRF/AICR lifestyle-related recommendations on body fatness, physical activity, diet and alcoholic drinks. Multivariable Cox proportional hazard regression models were used to assess the association (hazard ratio; 95 % CI) between the adherence score and risk of developing cancer.

Alberta’s Tomorrow Project, a prospective cohort study.

Men and women (n 25 100, mean age at enrolment 50·5 years) recruited between 2001 and 2009 with no previous cancer diagnosis were included in analyses.

Cancer cases (n 2066) were identified during a mean follow-up of 11·7 years. Participants who were most adherent to the selected WCRF/AICR recommendations (composite score: 4–6) were 13 % (0·87; 0·78, 0·98) less likely to develop cancer compared with those who were least adherent (composite score: 0–2). Each additional recommendation met corresponded to a 5 % (0·95; 0·91, 0·99) reduction in risk of developing cancer. When stratified by sex, the associations remained significant for women, but not for men.

Adherence to lifestyle-related cancer prevention recommendations was associated with reduced risk of developing cancer over the follow-up term in this Canadian cohort.

To examine the prevalence of fast-food consumption and the association between fast food and lifestyle factors in a representative sample of children and adolescents.

Cross-sectional, observational study. Fast-food consumption and dietary habits were evaluated using questionnaires (KIDMED index). Anthropometric and physical fitness measurements were obtained by trained investigators. Physical activity (PA) status, sedentary activities and sleeping habits were assessed through self-completed questionnaires.

Greece.

Population data derived from a school-based health survey (EYZHN programme) carried out in 2015 on 177 091 (51 % boys) children aged 8–17 years.

A greater proportion of boys v. girls (23·3 v. 15·7 %, P<0·001) and of adolescents v. children (26·9 v. 17·1 %, P<0·001) reported they consume fast foods >1 time/week. Frequent fast-food consumption was strongly correlated with unhealthy dietary habits such as skipping breakfast and consuming sweets/candy regularly. Adjusting for several covariates, insufficient dietary habits, insufficient (<8–9 h/d) sleep, inadequate PA levels and increased screen time increased the odds (95 % CI) of being a frequent fast-food consumer by 77 % (0·218, 0·234), 30 % (1·270, 1·338), 94 % (1·887, 1·995) and 32 % (1·287, 1·357), respectively. Being overweight/obese or centrally obese did not correlate with frequency of fast-food consumption.

Frequent fast-food consumption was associated with an unhealthy lifestyle profile among children and adolescents. The findings support the development of interventions to help children adopt healthier dietary habits.

Cognition is multidimensional, and each domain plays a unique and crucial part in successful daily life engagement. However, less attention has been paid to multi-domain cognitive health for the elderly, and the role of lifestyle factors in each domain remains unclear.

We conducted a cross-sectional study of 3,230 older adults aged 60+ years in Xiamen, China, in 2016. The Montreal Cognitive Assessment (MoCA) was used to measure general cognition and six specific sub-domains. To account for educational effects, we adjusted the MoCA score and divided respondents into three education-specific groups (low, moderate, and high education groups with ≤5, 6~8, and ≥9 years of education, respectively). A series of proportional odds models were used to detect the associations between two categories of lifestyle factors – substance abuse (cigarette and alcohol) and leisure activity (TV watching, reading, smartphone use, social activity, and exercise) – and general cognition and the six sub-domains in those three groups.

Among the 3,230 respondents, 2,617 eligible participants were included with a mean age of 69.05 ± 7.07 years. Previous or current smoking/drinking was not associated with MoCA scores in the whole population, but unexpectedly, the ex-smokers in the low education group performed better in general cognition (OR = 2.22) and attention (OR = 2.05) than their never-smoking counterparts. Modest TV watching, reading, and smartphone use also contributed to better cognition among elderly participants in the low education group. For the highly educated elderly, comparatively longer reading (>3.5 hours/week) was inversely associated with general cognition (OR = 0.53), memory (OR = 0.59), and language (OR = 0.54), while adequate exercise (5~7 days/week) was positively related to these factors with OR = 1.48, OR = 1.49, and OR = 1.53, respectively. For the moderately educated elderly, only modest reading was significantly beneficial.

Lifestyle factors play different roles in multidimensional cognitive health in different educational groups, indicating that individual intervention strategies should be designed according to specific educational groups and different cognitive sub-domains.

We examined associations between snack frequency, sociodemographic characteristics, BMI, dietary and eating behaviour. In order to identify whether various subgroups of high-frequency snack consumers exist, we investigated underlying food patterns and lifestyle factors.

The data were based on the Swiss Food Panel Questionnaire of 2010, which included an FFQ, questions relating to sociodemographics and lifestyle factors. Data were examined using ANOVA, regression analysis and hierarchical cluster analysis. Gender differences were also investigated in the analysis of the data.

A sample of 6189 adults participating in the Swiss Food Panel filled in a questionnaire (response rate 30 %).

The sample consisted of both men and women, with a mean age of 54·4 (sd 13·5) years.

There was no association between snack frequency and BMI. Consumption frequency of sweets and savouries as well as fruit intake increased with increasing snack frequency. Additionally, three different subgroups of high-frequency snack consumers could be revealed: healthy, moderate and unhealthy dietary-pattern groups. The latter included respondents who were less health-conscious and was characterized by high alcohol consumption frequency, daily breakfast skipping and watching television during the main meal.

High snack frequency occurred in the context of healthy as well as unhealthy dietary behaviour and lifestyle patterns. Women made healthier dietary food choices and were more likely to consume fruits as snacks, while men chose unhealthy foods, such as sweets and savouries, more often.

To examine the association between dietary patterns (DP) and risk for metabolic syndrome (MetS); and to identify differences in DP by socio-economic, demographic and lifestyle factors.

Dietary intake (from an FFQ), anthropometric/biochemical parameters and sociodemographic/lifestyle information (from a self-reported questionnaire) were evaluated, using a cross-sectional design. Statistical methods included principal component factor analysis, analysis of covariance and linear regression. All analyses were covariate-adjusted.

The Bogalusa Heart Study (1995–1996), USA.

Young adults (19–39 years; n 995; 61 % females/39 % males; 80 % whites/20 % blacks) from a semi-rural southern US community were examined.

The ‘Western Dietary Pattern’ (WDP) consisted of refined grains, French fries, high-fat dairy foods, cheese dishes, red meats, processed meats, eggs, snacks, sweets/desserts, sweetened beverages and condiments. The ‘Prudent Dietary Pattern’ (PDP) consisted of whole grains, legumes, vegetables, fruits, 100 % fruit juices, low-fat dairy products, poultry, clear soups and low-fat salad dressings. The DP explained 31 % of the dietary intake variance. Waist circumference (P = 0·02), triceps skinfold (P = 0·01), plasma insulin (P = 0·03), serum TAG (P = 0·05), and the occurrence of MetS (P = 0·03) were all inversely associated with PDP. Insulin sensitivity (P < 0·0005) was positively associated with PDP. Serum HDL cholesterol (P = 0·05) was inversely associated with WDP. Blacks consumed more servings from WDP than whites (P = 0·02). Females consumed more servings from PDP than males (P = 0·002). Those with >12 years of education consumed more servings from PDP than their counterparts (P < 0·0001). Current smokers consumed more servings from WDP than current non-smokers (P < 0·0001). Physically very active young adults consumed fewer servings from WDP than their sedentary counterparts (P = 0·02).

More studies are warranted to confirm these findings in other populations.

To assess dietary iodine intakes among adults and to investigate the relationships of dietary, lifestyle, demographic and geographical characteristics with dietary iodine status. Adequacy of iodine intakes was also assessed.

Cross-sectional study. Linear regression analyses and logistic regression modelling were used to determine correlates of iodine intakes. Usual iodine mean intake was calculated by averaging six 24 h dietary records completed over a 2-year period.

Females aged 35–60 years (n 2962) and males aged 45–60 years (n 2117) living in France and who participated in the SU.VI.MAX study.

Iodine intakes ranged from 30·0 to 446·3 μg/d. The median iodine intake was 150·7 μg/d for males and 131·4 μg/d for females. High-level (97·5th percentile) intakes were 273·4 μg/d for males and 245·0 μg/d for females. Overall, 8·5 % of males and 20·3 % of females had intakes <100 μg/d (P < 0·001). Alcohol drinkers and smokers tended to have lower iodine intakes than abstainers or non-smokers. Regular physical activity and both intermediate and high education levels were associated with a lower risk of iodine intake of <150 μg/d. For both males and females there were significant overall regional differences (P < 0·001) in multivariate-adjusted iodine intakes, with higher adjusted iodine intakes in Brittany and Normandy than in the north-eastern region.

Our data show a borderline low iodine intake in this middle-aged French population. However, differences in iodine intakes may contribute to explaining only a small part of the effects of sex and age on thyroid disease incidence.

To determine the correlates of central adiposity.

Population-based cross-sectional study.

A total of 926 women (aged 40–60 years) from all districts of Tehran.

Demographic data were collected and anthropometric indices were measured according to standard protocols. Dietary intakes were assessed by means of a semi-quantitative food-frequency questionnaire. The suggested cut-off point for waist-to-hip ratio (WHR≥0.84) for Tehrani people, adjusted for their age group, was used to determine central adiposity. Logistic regression analysis was used to determine the correlates of WHR, which were adjusted for age, taking medications and body mass index (BMI). The components of dietary intake were determined by factor analysis. Pearson correlation was used to determine the association between the dietary components and WHR. Analysis of covariance was employed to compare the mean values of WHR in different lifestyle groups, with adjustment for BMI and age.

Mean WHR was 0.82 ± 0.06. The possibility of being centrally obese was higher in women with light physical activity (odds ratio: 2.11; 95% confidence interval: 1.40–2.53), depressed women (1.36; 1.02–1.93), smokers (1.21; 1.02–1.56) and unemployed women (1.41; 1.13–1.72). Marriage (1.31; 1.10–1.82), menopause (1.22; 1.02–1.61), low vitamin C intake (2.31; 1.25–4.25) and low calcium intake (1.30; 1.07–3.78) were associated with central fat accumulation. Dairy consumption was inversely correlated with central fat accumulation (r = −0.2, P < 0.05).

Central adiposity is associated with poor lifestyle factors including low physical activity, depression, smoking, low intake of vitamin C, low intake of calcium and dairy products and high fat consumption. Thus lifestyle modifications should be encouraged to achieve a healthier body shape.