Association of sugary drinks, carbonated beverages, vegetable and fruit juices, sweetened and black coffee, and green tea with subsequent depression: A five-year cohort study.

BACKGROUND & AIMS: Evidence on the impact of beverage consumption on depression is limited in the Asian population. Specifically, there is little information available on vegetable and fruit juices, while whole vegetables and fruits are reportedly protective against depression. Furthermore, evidence is scarce in differentiating the impacts of sweetened and black coffee. We aimed to examine the association of the consumption of total sugary drinks, carbonated beverages, vegetable and fruit juices, sweetened and black coffee, and green tea with subsequent depression in a general population sample. METHODS: We studied individuals without a history of cancer, myocardial infarction, stroke, diabetes, or depression at baseline in 2011-2016, with a five-year follow-up. We used Poisson regression models and the g-formula, thereby calculating the risk difference (RD) for depression. Multiple sensitivity analyses were conducted. Missing data were handled using random forest imputation. We also examined effect heterogeneity based on sex, age, and body mass index by analyzing the relative excess risk due to interaction and the ratio of risk ratios. RESULTS: In total, 94,873 individuals were evaluated, and 80,497 completed the five-year follow-up survey for depression. Of these, 18,172 showed depression. When comparing the high consumption group with the no consumption group, the fully adjusted RD (95% CI) was 3.6% (2.8% to 4.3%) for total sugary drinks, 3.5% (2.1% to 4.7%) for carbonated beverages, 2.3% (1.3% to 3.4%) for vegetable juice, 2.4% (1.1% to 3.6%) for 100% fruit juice, and 2.6% (1.9% to 3.5%) for sweetened coffee. In contrast, the fully adjusted RD (95% CI) was -1.7% (-2.6% to -0.7%) for black coffee. The fully adjusted RD for green tea did not reach statistical significance. The results were robust in multiple sensitivity analyses. We did not find substantial effect heterogeneity based on sex, age, and body mass index. CONCLUSIONS: Total sugary drinks, carbonated beverages, vegetable and fruit juices, and sweetened coffee may increase the risk of depression, whereas black coffee may decrease it.

Association between Social Isolation and Total Mortality after the Great East Japan Earthquake in Iwate Prefecture: Findings from the TMM CommCohort Study.

This study aimed to investigate whether social isolation is associated with mortality, together with the effect of the Great East Japan Earthquake on mortality, due to the social isolation of community residents living in the affected areas, using data from the Tohoku Medical Megabank Project Community-Based Cohort Study. A total of 22,933 participants (8059 men and 14,874 women), who were free from cancer and cardiovascular disease, were followed up with death as an endpoint for five years. Social isolation was assessed using the Lubben Social Network Scale (cut-off, 11/12). Using Cox proportional hazards models, hazard ratios (HRs) of total mortality and 95% confidence intervals (CIs) associated with social isolation (no isolation as the reference) were estimated. The latter was significantly associated with an increased risk of total mortality (1.38 (1.04-1.83) in men and 1.49 (1.02-2.19) in women). Moreover, among those with social isolation, the risk of mortality was significantly higher, especially for women with house damage and men who had experienced a death in the family. The disaster may have raised the risk of mortality due to social isolation.

Weight Gain After 20 Years of Age is Associated with Unfavorable Lifestyle and Increased Prevalence of Metabolic Disorders.

PURPOSE: It is unclear what kind of modifiable lifestyle factors are associated with long-time weight gain in adulthood. To clarify the lifestyle behavior related to body weight gain since the age of 20 years, we explored the lifestyle risk factor, independently associated with excessive weight gain after 20 years of age as compared to those in subjects with a stable weight, with matching of age, gender, and the current body mass index (BMI). PATIENTS AND METHODS: From baseline data of a general population-based cohort study, we designed a cross-sectional analysis collecting individual data of medical health check-ups and a questionnaire related to lifestyle, including amount of sleep, frequency of eating breakfast, average times per day engaged in walking and sitting in the prior year, and smoking habits. These data were compared between the subjects with weight gain ≥10kg (n=3601) and <10kg (n=3601) after age 20, matched by a propensity score model which included current BMI, age and gender. We used multivariable logistic regressions to assess the lifestyle factor's association with high weight gain. RESULTS: Participants who gained ≥10 kg were significantly more likely to sleep <5 hours or ≥9 hours per night, skip breakfast, engage in walking <1 hour per day, and sit ≥5 hours per day than those who gained <10kg. Multivariable logistic regressions analyses showed that, with adjusting for potential confounder, the lifestyles with the positive association with high weight gain were skipping breakfast (OR 1.252; 95% CI 1.053-1.489, vs regularly), long sleeping duration (9 hours/day≤ OR 1.613; 95% CI 1.018-2.557 vs 5≤-<7 hours/day), and former smoker (OR 1.163; 95% CI 1.008-1.343 vs never smoker), while walking duration was negatively associated with high weight gain. Furthermore, despite similar current BMI, participants with weight gain ≥10kg had significantly higher values for waist circumference, blood pressure, HbA1c, LDL-C, triglycerides, and hepatic enzyme levels than those with weight gain <10kg. Similarly, the prevalence rates of hypertension, dyslipidemia, metabolic syndrome (MetS), and former smoker were higher in the participants with weight gain ≥10kg. CONCLUSION: Major weight gain after 20 years of age was associated with unfavorable lifestyle factors and greater waist circumference, possibly leading to elevated risk for MetS and other non-communicable diseases. These findings highlight the importance of maintaining both weight at age 20 and a favorable lifestyle throughout adulthood.

[Falls and associated risk factors among elderly survivors of the Great East Japan Earthquake: RIAS Study].

Objective　An increasing incidence of disuse syndrome is commonly observed in areas affected by large-scale natural disasters. Consequently, the fall risk is high in such populations, necessitating adequate attention to fall prevention measures. It is important to identify factors associated with falls to prevent deterioration in functional ability. We investigated the risk factors associated with falls among elderly survivors in disaster-stricken areas using longitudinal data from the Research project for the prospective Investigation of health problems Among Survivors of the Great East Japan Earthquake (RIAS) Study.Methods　Of all data obtained from the RIAS Study, we used the data of 1,380 survivors who were aged ≥65 years, were not diagnosed with cancer or cardiovascular disease, did not need supportive care, and could participate in the annual survey between 2011 and 2016. Self-administered questionnaires were distributed, and anthropometric and grip tests were performed during the 2011 survey to obtain information regarding housing damage, the fear of falls, arthralgia, cognitive function psychological distress, insomnia, frequency of leaving the house, a history of hypertension, dyslipidemia, diabetes, alcohol consumption status, smoking status, and/or body mass index, and grip strength. Based on the responses obtained from each annual survey, a fall was defined as an event during which an individual had fallen at least once. Multivariate-adjusted odds ratio(OR) and 95% confidence interval(CI) for all variables related to falls were calculated using logistic regression with adjustment for sex and residential area. Similar analyses were performed based on age groups (65-74 years and ≥75 years).Results　The 5-year fall incidence rate was 35.5% (31.9% [men], 37.9% [women]). In men, cognitive dysfunction was significantly associated with falls (OR 1.50, 95%CI 1.01-2.22). In women, cognitive dysfunction (OR 1.82, 95%CI 1.34-2.47), insomnia (OR 1.41, 95%CI 1.02-1.94), dyslipidemia (OR 1.58, 95% 95% CI 1.11-2.25), and a history of smoking (OR 4.30, 95%CI 1.08-17.14) were significantly associated with falls. In women aged ≥75 years, partial housing damage (OR 7.93, 95%CI 1.85-33.91) and psychological distress (OR 2.83, 95%CI 1.09-.7.37) were also significantly associated with falls.Conclusion　This study suggests that cognitive dysfunction in both sexes and insomnia, dyslipidemia, and a history of smoking in women were significantly associated with falls, and partial housing damage and psychological distress were risk factors for falls in women aged ≥75 years. Fall prevention after large-scale natural disasters warrants close attention to known risk factors and environmental and mental health changes.

Study Profile of the Tohoku Medical Megabank Community-Based Cohort Study.

BACKGROUND: We established a community-based cohort study to assess the long-term impact of the Great East Japan Earthquake on disaster victims and gene-environment interactions on the incidence of major diseases, such as cancer and cardiovascular diseases. METHODS: We asked participants to join our cohort in the health check-up settings and assessment center based settings. Inclusion criteria were aged 20 years or over and living in Miyagi or Iwate Prefecture. We obtained information on lifestyle, effect of disaster, blood, and urine information (Type 1 survey), and some detailed measurements (Type 2 survey), such as carotid echography and calcaneal ultrasound bone mineral density. All participants agreed to measure genome information and to distribute their information widely. RESULTS: As a result, 87,865 gave their informed consent to join our study. Participation rate at health check-up site was about 70%. The participants in the Type 1 survey were more likely to have psychological distress than those in the Type 2 survey, and women were more likely to have psychological distress than men. Additionally, coastal residents were more likely to have higher degrees of psychological distress than inland residents, regardless of sex. CONCLUSION: This cohort comprised a large sample size and it contains information on the natural disaster, genome information, and metabolome information. This cohort also had several detailed measurements. Using this cohort enabled us to clarify the long-term effect of the disaster and also to establish personalized prevention based on genome, metabolome, and other omics information.