Papers

Background: People with disabilities (PWD) are at increased risk of poor mental health. However, this association and the pathways involved remain under-researched in many parts of the world. This study examined the association between disability and psychological distress in nine countries of the former Soviet Union (FSU).

Methods: Data were analysed from 18,000 adults aged ≥18 years collected during the Health in Times of Transition (HITT) survey undertaken in Armenia, Azerbaijan, Belarus, Georgia, Kazakhstan, Kyrgyzstan, Moldova, Russia, and Ukraine in 2010 and 2011. Information was obtained on disability status, the severity of the disability and psychological distress. Logistic regression analysis was used to estimate associations.

Results: In a fully adjusted combined country analysis, disability was associated with over two times higher odds for psychological distress (odds ratio [OR]: 2.19, 95% confidence interval [CI]: 1.86-2.58). The strength of the association varied across the individual countries. Among PWD more severe disability was associated with significantly higher odds for psychological distress (OR: 2.12, 95%CI: 1.26-3.55).

Limitations: The data were cross-sectional and disability status was self-reported, possibly resulting in underreporting.

Conclusions: Disability is associated with worse psychological health in FSU countries, especially among those with more severe disabilities. As poor mental health may also increase the risk of negative outcomes in PWD, this finding highlights the importance of the early detection and treatment of mental disorders in PWD in these countries.

Background: People with disabilities (PWD) often face structural and other barriers to community involvement and may therefore be at risk of loneliness. Yet, so far, this issue has received little attention.

Objective: This cross-sectional study aimed to examine the association between disability and loneliness in nine countries of the former Soviet Union (FSU).

Methods: Data were analyzed from 18000 respondents aged ≥18 that came from the Health in Times of Transition (HITT) survey that was undertaken in Armenia, Azerbaijan, Belarus, Georgia, Kazakhstan, Kyrgyzstan, Moldova, Russia and Ukraine in 2010/11. Respondents reported on whether they had a disability (no/yes) and its severity. A single-item question was used to assess loneliness. Logistic regression analysis was used to examine the associations.

Results: Across the countries, 6.8% of respondents reported being disabled. In a fully adjusted combined country analysis, disability was associated with higher odds for loneliness (odds ratio: 1.30, 95% confidence interval: 1.06-1.60). In an analysis restricted to PWD, individuals in the most severe disability category (Group 1) had over two times higher odds for loneliness when compared to those in the least severe disability category (Group 3).

Conclusions: Disability is associated with higher odds for reporting loneliness in the FSU countries and this association is especially strong among those who are more severely disabled. An increased focus on the relationship between disability and loneliness is now warranted given the increasing recognition of loneliness as a serious public health problem that is associated with a number of detrimental outcomes.

Background: Maintaining oral health is one of the global public health challenges. Income and out-of-pocket payments for dental care services are predictors of dental care utilisation. Although public assistance programmes guarantee income security for impoverished people, access barriers other than financial costs may cause unmet dental care needs. We aimed to explore the potential sociodemographic factors determining dental care utilisation among recipients of public assistance in Japan using linkage data of public assistance database and medical assistance claim data administered by municipalities.

Methods: This was a retrospective cohort study involving a sample of public assistance recipients. We extracted the recipients’ sociodemographic data (age, sex, household number, employment status, nationality, disability certificates, and long-term care status) in January 2016 and observed them until December 2016 to identify incidences of dental care utilisation as outcomes. We performed a multivariable modified Poisson regression analysis with a robust standard error estimator to calculate the incidence ratio (IR) of dental care utilisation in each variable.

Results: We identified a total of 4497 recipients at risk. Among them, 839 recipients used dental care services. Younger age was associated with a higher incidence of dental care utilisation. The female recipients had a higher incidence of dental care utilisation when compared to the male ones (adjusted IR, 1.22; 95% confidence interval [CI], 1.08-1.38). Immigrant recipients had a higher incidence of dental care utilisation than the Japanese ones (IR, 1.53; 95% CI, 1.16-2.01). Recipients with mental disabilities had higher incidences than those without disability certificates (IR, 1.30; 95% CI, 1.08-1.56).

Conclusions: Non-financial sociodemographic inequities in dental care utilisation stemming from age, sex, nationality, and presence of mental disability were found despite minimum income protection and equitable financial dental service access amongst public assistance recipients in Japan. Providing targeted preventive care and treatments for dental care among underserved populations is required to tackle oral health inequities.

Aims/introduction: Poverty is an important social determinant of diabetes. Poverty is a multidimensional concept including non-financial difficulties, such as social isolation and exclusion from communities. Many countries provide financial social assistance programs for those in need. This study aimed to explore non-financial social determinants of diabetes among public assistance recipients in Japan, by using linkage data of two municipal public assistance databases and medical assistance claim data.

Materials and methods: We carried out a retrospective cohort study. Public assistance is provided to households below the poverty line to ensure their income security. We extracted recipients’ sociodemographic factors of January 2016 (household number and employment status as non-financial social determinants of diabetes) and identified the incidence of diabetes diagnosis until December 2016 as the outcome.

Results: We included the data of 2,698 younger individuals (aged <65 years) and 3,019 older individuals (aged >65 years). A multivariable Poisson regression, with a robust standard error estimator, showed that among 2,144 younger recipients at risk, unemployment and living alone were slightly associated with 1-year cumulative incidence of diabetes diagnosis (adjusted incidence ratio 1.20, 95% confidence interval 0.93-1.54 and adjusted incidence ratio 1.15, 95% confidence interval 0.89-1.48, respectively). Among 2,181 older recipients at risk, there was no strong association between their sociodemographic factors and incidence of diabetes diagnosis.

Conclusions: Unemployment and living alone might be additional risk factors for diabetes among younger public assistance recipients. Multidimensional supports assuring financial and non-financial securities are required to prevent diabetes among people living in poverty.

This study aimed to determine the impact of physical activity on the cumulative cost of long-term care insurance (LTCI) services in a cohort of community-dwelling people (65 years and older) in Japan. Using cohort data from the Japan Gerontological Evaluation Study (JAGES) on those who were functionally independent as of 2010/11, we examined differences in the cumulative cost of LTCI services by physical activity. We followed 38,875 participants with LTCI service costs for 59 months. Physical activity was assessed by the frequency of going out and time spent walking. We adopted a generalized linear model with gamma distribution and log-link function, and a classical linear regression with multiple imputation. The cumulative LTCI costs significantly decreased with the frequency of going out and the time spent walking after adjustment for baseline covariates. LTCI’s cumulative cost for those who went out once a week or less was USD 600 higher than those who went out almost daily. Furthermore, costs for those who walked for less than 30 min were USD 900 higher than those who walked for more than 60 min. Physical activity among older individuals can reduce LTCI costs, which could provide a rationale for expenditure intervention programs that promote physical activity.

We evaluated differences in the cumulative benefit costs of public long-term care (LTC) insurance services by employment status and frequency of community activities. A baseline survey was conducted on functionally independent older people from 12 municipalities as a nationwide survey from 2010 to 2011. Employment status was dichotomized, and community activity was assessed based on the frequency of participation in hobbies, sports clubs, or volunteering. We followed the respondents’ LTC service costs over a period of 6 years using public LTC claim records (n = 46,616). We adopted a classical linear regression analysis and an inverse probability weighting estimation with multiple imputation for missing values. Compared with non-participation in each community activity, the cumulative LTC costs among individuals who participated in hobbies or sports group activities at least twice a week were 1.23 (95% confidence interval: 0.73-1.72) to 1.18 (0.68-1.67) thousand USD lower per person over the 6-year period (28.7% to 30.1% lower, respectively). Similarly, the costs for employed persons were 0.55 (0.20-0.90) to 0.64 (0.29-0.99) thousand USD per person lower than among retirees (14.5% to 16.9% lower). Promoting employment opportunities and frequent participation in community activities among older adults may help reduce future LTC costs by around 20% as a result of extending healthy longevity.

It is plausible that the coronavirus disease pandemic and related changes in work and life patterns affected dietary patterns, but existing studies have limitations owing to a cross-sectional design. Using longitudinal data, we examined dietary changes in people due to the pandemic and work and life patterns. We conducted an online survey on changes in work and life patterns during the pandemic from April 30, 2020, to May 8, 2020, among users of a health app called CALO mama provided in Japan. We retrieved and linked the dietary data for 5,929 participants from January 1, 2020, to May 13, 2020. Generalized linear mixed models were used to estimate the frequencies of food intake associated with the pandemic and work and life patterns. During the state of emergency, the frequency of intake of vegetables, beans, seaweeds, fish, meats, dairy products, and snacks increased, whereas alcohol intake decreased. Working from home was associated with increased intake of vegetables, fruits, dairy products, and snacks but decreased intake of seaweeds, meats, and alcohol. Time spent on childcare was associated with decreased intake of vegetables and fruits but increased intake of meats. Probable depressive symptoms were negatively associated with the frequency of food intake other than snacks and alcohol. We conclude that diet quality improved during the pandemic in general, but attention must be paid to overconsumption of snacks and negative factors such as increased burden of childcare and depression for healthy eating.