Few studies have examined the association between the accumulation of unhealthy eating habits and the likelihood of obesity or central obesity in a general Japanese population. We examined this association in a sample of 1906 community-dwelling Japanese subjects (age: 40–74 years) who participated in a health check-up in 2014. A face-to-face questionnaire interview was conducted to collect information about three unhealthy eating habits, i.e., snacking, eating quickly, and eating late-evening meals. Obesity was defined as body mass index ≥25 kg/m² and central obesity was defined as waist circumference ≥90 cm in men and ≥80 cm in women. The odds ratios (OR) were estimated by using a logistic regression analysis. Subjects with any one of the three eating habits had a significantly higher likelihood of obesity than those without that habit after adjusting for confounding factors. The multivariable-adjusted OR for obesity increased linearly with an increase in the number of accumulated unhealthy eating habits (p for trend < 0.001). Similar associations were observed for central obesity. Our findings suggest that modifying each unhealthy eating habit and avoiding an accumulation of multiple unhealthy eating habits might be important to reduce the likelihood of obesity.

Chronic low back pain (CLBP) is the leading cause of years lived with disability. Recently, it has been reported that CLBP is associated with alterations in the central nervous system. The present study aimed to investigate the association between CLBP and regional brain atrophy in an older Japanese population. A total of 1106 community-dwelling participants aged ≥65 years underwent brain magnetic resonance imaging scans and a health examination in 2017 to 2018. We used the FreeSurfer software for the analysis of brain magnetic resonance imaging. Chronic pain was defined as subjective pain for ≥3 months. Participants were divided into 3 groups according to the presence or absence of chronic pain and the body part that mainly suffered from pain: a “no chronic pain (NCP)” group (n = 541), “CLBP” group (n = 189), and “chronic pain in body parts other than the lower back (OCP)” group (n = 376). The brain volumes of the ventrolateral and dorsolateral prefrontal cortex, the posterior cingulate gyrus, and the amygdala were significantly lower in the CLBP group than in the NCP group after adjustment for sociodemographic, physical, and lifestyle factors and depressive symptoms. In addition, the left superior frontal gyrus was identified as a significant cluster by the Query, Design, Estimate, Contrast interface. There were no significant differences in the brain volumes of pain-related regions between the NCP and the OCP groups. The present study suggests that CLBP is associated with lower brain volumes of pain-related regions in a general older population of Japanese.

Background: Several longitudinal studies have reported that higher visit‐to‐visit blood pressure variability is associated with greater risk for developing chronic kidney disease. However, no population‐based studies have investigated the association between day‐to‐day home blood pressure variability and incident chronic kidney disease. Methods and Results: A total of 2342 Japanese community‐dwelling residents aged ≥40 years without chronic kidney disease at baseline were followed up by annual health examinations for 10 years. Home blood pressure was measured 3 times every morning for 28 days. Day‐to‐day coefficients of variation of home systolic blood pressure levels were categorized into quintiles. Chronic kidney disease was defined as an estimated glomerular filtration rate <60 mL/min per 1.73 m ² or the presence of proteinuria. The hazard ratios for developing chronic kidney disease were estimated with a Cox proportional hazards model. During the follow‐up period, 772 participants developed chronic kidney disease. Increased coefficients of variation of home systolic blood pressure were associated significantly with higher risk of chronic kidney disease after adjusting for confounders ( P for trend <0.001): Individuals in the highest quintile of coefficients of variation had a 1.50‐fold (95% CI, 1.17–1.94) greater risk of developing chronic kidney disease than those in the lowest quintile. The combination of higher coefficients of variation and higher mean value of home systolic blood pressure was associated with the multivariable‐adjusted risk of developing chronic kidney disease. Conclusions: These findings suggest that increased day‐to‐day blood pressure variability is a significant risk factor for developing chronic kidney disease in a general Japanese population.

The genetic architecture of white matter lesions (WMLs) in Asian populations has not been well-characterized. Here, we performed a genome-wide association study (GWAS) to identify loci associated with the WML volume. Brain MRI and DNA samples were collected from 9479 participants in the Japan Prospective Studies Collaboration for Aging and Dementia (JPSC-AD). The GWAS confirmed three known WML-associated loci (SH3PXD2A, GFAP, and TRIM47). The lead variant of GFAP was a common missense variant (p.D295N) in East Asians. Meta-GWAS using the publicly available summary statistics of UK Biobank identified one previously unreported locus 6q23.2 (SLC2A12). Integration with expression quantitative trait locus data implied the newly identified locus affects SLC2A12 expression. The effect sizes of 20 lead variants at the WML-associated loci were moderately correlated between JPSC-AD and UK Biobank. These results indicate that the alteration in GFAP protein caused by the common missense variant in East Asians influences the WML volume.

Aims/Introduction: We aimed to investigate the association of active commuting (cycling or walking to work), as well as the association of the individual commuting modes, with the risk of diabetes in a prospective cohort of community‐dwelling adults in Japan.Material and Methods: A total of 1,270 residents aged 40–79 years were followed up for a median of 14 years. Active commuting was defined as either cycling or walking to work. A Cox proportional hazards model was used to examine the association of active commuting with the risk of diabetes. Associations for different forms of active commuting (cycling, walking and mixed modes of cycling or walking with non‐active components) were also examined.Results: During the follow‐up period, 191 participants developed diabetes. Active commuting was associated with a lower risk of diabetes than non‐active commuting after adjustment for potential confounders (hazard ratio [HR] 0.54, 95% confidence interval [CI] 0.31–0.92). With regard to the commuting modes, the risk of diabetes was significantly lower in individuals who commuted by cycling alone (HR 0.46, 95% CI 0.22–0.98), and tended to be lower in individuals who commuted by walking alone (HR 0.14, 95% CI 0.02–1.02) compared with that in individuals with non‐active commuting. Meanwhile, no significant associations were observed for the mixed mode of walking and non‐active commuting (HR 1.69, 95% CI 0.77–3.71).Conclusions: Active commuting, particularly that consisting exclusively of cycling or walking, was associated with a reduced risk of diabetes. Our findings support a public health policy that promotes the choice of active commuting for the prevention of diabetes.