ABSTRACT
BACKGROUND: Studies on sex-specific socioeconomic gradients in objectively evaluated diabetes among older adults are scarce. METHODS: We used cross-sectional data of 9,893 adults aged 65 years and older in Aichi Prefecture without long-term care insurance from the Japan Gerontological Evaluation Study (JAGES) in 2010 (Response rate: 66.3%). We collected demographic, socioeconomic (income, years of education, and longest occupation) and behavioral information using a mail-in self-reported survey. Blood samples for the objectively evaluated diabetes and self-reported medical history were collected at annual municipal health checkups. Poisson regression analysis stratified by sex with multiple imputations was conducted to calculate prevalence ratio and 95% confidence interval. RESULTS: A clear income gradient in diabetes prevalence was observed among women, from 11.7% in the lowest income quartile (Q1) to 7.8% in the highest (Q4). Among men, the findings were 17.6% in Q1 to 15.1% in Q4. The prevalence ratios for diabetes with incomes Q1 to Q4 were 1.43 (95% confidence interval [CI], 1.07-1.90) for women and 1.16 (95% CI, 0.90-1.50) for men after adjusting for age and other socioeconomic factors. Even after adjusting for marital status, body mass index, other metabolic risk factors, and lifestyle factors, the income-based gradient remained among women. Education and occupation were not significantly associated with diabetes in the study population. CONCLUSIONS: Only women showed an income-based gradient in diabetes. Monitoring income gradient in diabetes is important in public health actions, even in older populations. Future longitudinal and intervention studies should evaluate the causal link of income to diabetes onset, determine the mechanisms of the potential sex differences in the income/diabetes association, and identify ways to mitigate the income-based inequality.
Subject(s)
Diabetes Mellitus/epidemiology , Health Status Disparities , Aged , Aged, 80 and over , Cross-Sectional Studies , Female , Humans , Japan/epidemiology , Male , Prevalence , Sex Distribution , Socioeconomic FactorsABSTRACT
Medical expenses are increasing year by year in Japan. However, the quantity of disposed medical opioids is not well known. In this study, we assessed disposed medical opioids in community pharmacies of Fukuoka city and in all of medical organizations of Kumamoto cities for 3 and 2 years, respectively. We collected official opioid disposal reports in Kumamoto city and Fukuoka City Pharmaceutical Association (FCPA) disposal information sheet in Fukuoka city. The total amount of disposed opioids was worth 7.1 million Yen from 2017 to 2019 in Fukuoka city, and 8.9 million Yen in for 2 years (2018 and 2019) in Kumamoto city. In Fukuoka city, the most disposed opioid was 20 mg Oxycontin®, worth approximately 940000 Yen. In Kumamoto city we assessed data in different organizations. The most disposed opioid was 5 mg Oxinorm® at a cost of 600000 Yen at the medical institutions over the 2-year study period. The most disposed opioid was 40 mg Oxycontin®, at a cost of 640000 Yen in community pharmacies. Two hundred micrograms E-fen® buccal tablet was the most disposed of opioid, was amounting to 960000 Yen in wholesalers. On the whole in Kumamoto city, non-dispensing was the most common reason of disposal. These results indicate that the amount of disposed opioids is huge. Small package simulation studies suggest that smaller package units of MS-Contin®, Anpec® suppository, and Abstral® sublingual tablet may be able to reduce the amount of disposed opioids.
Subject(s)
Analgesics, Opioid , Opioid-Related Disorders , Humans , Oxycodone , Opioid-Related Disorders/drug therapy , Cities , FentanylABSTRACT
Poor sleep is associated with lifestyle, however, few studies have addressed the association between sleep quality and the neighborhood environment. This study aimed to investigate the associations between living environment factors and sleep quality in older people. Participants were community-dwelling people aged ≥65 years who participated in the 2010 Japanese Gerontological Evaluation Study. The data of 16,650 people (8102 men, 8548 women) were analyzed. Sleep quality (good or poor) was evaluated using a self-administered questionnaire. Multilevel Poisson regression analysis stratified by depressive status (measured by the Geriatric Depression Scale-15 [GDS]) was conducted with sleep quality as the dependent variable and social and physical environmental factors as explanatory variables. The 12,469 non-depressive respondents and 4181 depressive respondents were evaluated. The regression analysis indicated that non-depressive participants slept better if they lived in environments with few hills or steps (prevalence ratio [PR] = 0.75, 95% CI: 0.56-0.9) and with places where they felt free to drop in (PR = 0.51, 95% CI: 0.26-0.98). For depressive participants, these associations were not evident. Living alone, poor self-rated health, low income, and unemployment were associated with poor sleep quality. In addition to support with these individual factors, improving environmental factors at the neighborhood level may improve the sleep quality of community-dwelling older adults.
Subject(s)
Residence Characteristics , Sleep , Aged , Aged, 80 and over , Cross-Sectional Studies , Depression , Female , Health Status , Humans , Japan , Male , Poverty , Surveys and Questionnaires , UnemploymentABSTRACT
BACKGROUND: Low serum albumin levels are associated with aging and medical conditions such as cancer, liver dysfunction, inflammation, and malnutrition and might be an independent predictor of long-term mortality in healthy older populations. We tested the hypothesis that economic status is associated with serum albumin levels and explained by nutritional and health status in Japanese older adults. DESIGN: We performed a cross-sectional analysis using data from the Japan Gerontological Evaluation study (JAGES). The study participants were 6528 functionally independent residents (3189 men and 3339 women) aged ≥65 years living in four municipalities in Aichi prefecture. We used household income as an indicator of economic status. Multiple linear regression was used to compare serum albumin levels in relation to household income, which was classified as low, middle, and high. Additionally, mediation by nutritional and health-related factors was analyzed in multivariable models. RESULTS: With the middle-income group as reference, participants with low incomes had a significantly lower serum albumin level, even after adjustment for sex, age, residential area, education, marital status, and household structure. The estimated mean difference was -0.17 g/L (95% confidence interval, -0.33 to -0.01 g/L). The relation between serum albumin level and low income became statistically insignificant when "body mass index", "consumption of meat or fish", "self-rated health", "presence of medical conditions", "hyperlipidemia", or "respiratory disease "was included in the model. CONCLUSION: Serum albumin levels were lower in Japanese older adults with low economic status. The decrease in albumin levels appears to be mediated by nutrition and health-related factors with low household incomes. Future studies are needed to reveal the existence of other pathways.