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The objectives of this study were to describe regional variation in overweight and to investigate factors associated with overweight at the secondary medical area (SMA) level, accounting for regional economic sector profiles. We utilized data from the specific health checkup, which targets individuals aged 40–74 years. Following descriptive analyses, we employed partial least squares regression analyses using an open-access version of specific health checkup data from the National Database of Health Insurance Claims and Specific Health Checkups of Japan. This approach allowed us to identify latent variables related to regional variation in overweight and to examine associated lifestyle and socioenvironmental factors. Identifying these latent variables helps uncover underlying regional or socioeconomic patterns not directly observable, thereby informing more targeted public health interventions. The distinct characteristics of areas associated with a higher proportion of overweight persons were identified—the key latent variable encompassing low socioeconomic status and a high proportion of family workers. Additionally, our findings suggested that the drinking and eating environment may present challenges in regions with a high proportion of workers in the information and real estate sectors. In contrast, reduced walkability of the environment may be problematic in regions with many workers in the manufacturing and transportation sectors. Our study underscores the importance of addressing the unique challenges faced by each area with attention given to their local traits and industrial structures, which may have unconsciously shaped residents’ lifestyles and daily behaviors. As area-level variation in overweight and obesity related to contextual factors, such as economic sector profiles, have not been extensively studied internationally, this study provides a valuable insight into research on factors associated with overweight.

We assessed the effect of rotavirus vaccination coverage on the number of inpatients with gastroenteritis of all ages in Japan. We identified patients admitted with all-cause gastroenteritis during 2011-2019 using data from the Diagnosis Procedure Combination system in Japan. We used generalized estimating equations with a Poisson distribution, using hospital codes as a cluster variable to estimate the impact of rotavirus vaccination coverage by prefecture on monthly numbers of inpatients with all-cause gastroenteritis. We analyzed 294,108 hospitalizations across 569 hospitals. Higher rotavirus vaccination coverage was associated with reduced gastroenteritis hospitalizations compared with the reference category of vaccination coverage <40% (e.g., for coverage >80%, adjusted incidence rate ratio was 0.87 [95% CI 0.83-0.90]). Our results show that achieving higher rotavirus vaccination coverage among infants could benefit the entire population by reducing overall hospitalizations for gastroenteritis for all age groups.

The COVID-19 pandemic, declared in March 2020, profoundly affected global health, societal, and economic frameworks. Vaccination became a crucial tactic in combating the virus. Simultaneously, the pandemic likely underscored the internet's role as a vital resource for seeking health information. The proliferation of misinformation on social media was observed, potentially influencing vaccination decisions and timing. This study aimed to explore the relationship between COVID-19 vaccination rates, including the timing of vaccination, and reliance on internet-based information sources in Japan. Using a cross-sectional study design using a subset of panel data, this nationwide survey was conducted in 7 waves. A total of 10,000 participants were randomly selected through an internet survey firm, narrowing down to 8724 after applying inclusion and exclusion criteria. The primary outcome was the COVID-19 vaccination date, divided into vaccinated versus unvaccinated and early versus late vaccination groups. The main exposure variable was the use of internet-based information sources. Control variables included gender, family structure, education level, employment status, household income, eligibility for priority COVID-19 vaccination due to pre-existing medical conditions, and a health literacy scale score. Two regression analyses using generalized estimating equations accounted for prefecture-specific correlations, focusing on vaccination status and timing. In addition, chi-square tests assessed the relationship between each information source and vaccination rates. Representing a cross-section of the Japanese population, the regression analysis found a significant association between internet information seeking and higher vaccination rates (adjusted odds ratio [aOR] 1.42 for those younger than 65 years; aOR 1.66 for those aged 65 years and older). However, no significant link was found regarding vaccination timing. Chi-square tests showed positive associations with vaccination for television, government web pages, and web news, whereas blogs and some social networking sites were negatively correlated. Internet-based information seeking is positively linked to COVID-19 vaccination rates in Japan, underscoring the significant influence of online information on public health decisions. Nonetheless, certain online information sources, including blogs and some social networks, negatively affected vaccination rates, warranting caution in their use and recognition. The study highlights the critical role of credible online sources in public health communication and the challenge of combating misinformation on less regulated platforms. This research sheds light on how the digital information landscape influences health behaviors, stressing the importance of accurate and trustworthy health information amidst global health emergencies.

Objectives: The cause of chronic kidney disease (CKD) remains uncertain in the majority of affected individuals, but the influence of socioeconomic status on CKD progression has recently gained attention. We compared the risk of CKD progression among 18 occupational classifications using an annual health checkup database.Methods: We used the annual health checkup data and health insurance claims data of the Japan Health Insurance Association in Kyoto prefecture between April 2012 and March 2016. The primary outcome for survival analysis was defined as a more than 30% change in the estimated glomerular filtration rate (eGFR) from the first health checkup. We used the Cox proportional hazards model for time-to-event analyses to estimate the hazard ratios and 95% CIs for the primary outcome, adjusting for age, sex, eGFR, body mass index, blood pressure, blood sugar, dyslipidemia, uric acid, urinary protein, and existence of kidney disease at first health checkup.Results: We analyzed 239 506 employees, and 1736 (0.7%) individuals whose eGFR had decreased by 30% or more; the mean follow-up period was 2.8 years. When we compared the risk with that for “manufacturing,” 5 categories of industries (“information and communications”; “transport and postal services”; “accommodations, eating and drinking services”; “living-related and personal services and amusement service”; “medical, health care and welfare”) were associated with a decline in the increased risk of eGFR after adjusting for the confounding factors and/or mediators.Conclusions: We provide evidence that the risk of CKD progression depends on occupational type. Further research is needed to confirm the mechanism and causal relationships involved.

Summary In Japan, the publication of the Fracture Liaison Service Clinical Standard (FLS-CS) had no apparent effect on the implementation of secondary fracture prevention, but the introduction of a new management fee for secondary fracture prevention significantly promoted the implementation of secondary fracture prevention for the target disease. Background Secondary fracture prevention is important for managing fragility fractures. In Japan, the FLS-CS was published in 2019, alongside the introduction of a new management fee for secondary fracture prevention, launched in 2022 for patients who underwent surgery for hip fracture. FLS programs were hospital-based. This study evaluated the impact of these interventions on the implementation of secondary fracture prevention during hospitalization for fragility fractures. Methods Using claims data from the Quality Indicator/Improvement Project database, patients aged 50 years or older with hip fracture who underwent surgery or with vertebral fractures were included. The publication of FLS-CS was the first intervention, followed by the introduction of the management fee as the second intervention. To evaluate the impact of these interventions, we performed an interrupted time series analysis separately for hip and vertebral fractures. Results For hip fractures, there was no immediate change after the first intervention, and the monthly rate of change decreased (incidence rate ratio [IRR]: 0.985, 95% confidence interval [CI]: 0.979–0.991). After the second intervention, there was an immediate increase (IRR: 1.890, 1.761–2.029), and the monthly rate of change also increased (IRR: 1.050, 1.044–1.056). For vertebral fractures, the proportion of change increased only immediately after the second intervention (IRR: 1.148, 1.038–1.270). Conclusion The publication of FLS-CS had no apparent effect on the implementation of secondary fracture prevention in patients with either hip or vertebral fractures. Conversely, the introduction of the management fee had the effect of increasing that for the target disease.

Background Area-level socioeconomic status is a well-established determinant of geographical disparities in life expectancy. However, limited attention has been paid to spatial spillover effects, whereby socioeconomic conditions in neighbouring regions influence health outcomes. This study aimed to estimate the direct and spatial spillover effects of socioeconomic factors on life expectancy in Japan and to explore possible mechanisms underlying the observed spillover patterns. Methods Life expectancy at birth by sex at the municipal level in Japan for 2020 was the outcome variable. A spatial Durbin error model was used to estimate the direct and spatial spillover effects of ten regional socioeconomic factors, along with six control variables, on life expectancy. To ensure robustness, six spatial weight matrices were used. The results were compared with those obtained from a non-spatial linear regression model. Results Moran’s I values for the residuals of the non-spatial model were statistically significant, indicating spatial autocorrelation. The unemployment rate and the proportion of individuals with no high school diploma showed negative direct and spillover effects, suggesting that being surrounded by regions with employment instability and low educational attainment is associated with lower life expectancy. Taxable income per capita showed no statistically significant spillover effects. Conclusion The findings indicate that socioeconomic conditions in neighbouring regions, in addition to those within a region, are associated with life expectancy. The observed spillover effects for employment and education support the role of collective resources in shaping regional health. These results indicate the need to incorporate interregional socioeconomic contexts into public health strategies to address geographical disparities in health.

During the coronavirus disease 2019 (COVID-19) pandemic, there have been health concerns related to alcohol use and misuse. We aimed to examine the population-level change in cases of alcohol-related liver disease and pancreatitis that required admission during the COVID-19 epidemic by interrupted time series (ITS) analysis using claims data. We defined the period from April 2020, when the Japanese government declared a state of emergency, as the beginning of the COVID-19 epidemic. This ITS analysis included 3,026,389 overall admissions and 10,242 admissions for alcohol-related liver disease or pancreatitis from 257 hospitals between July 2018 and June 2020. The rate of admissions per 1000 admissions during the COVID-19 epidemic period (April 2020–June 2020) was 1.2 times (rate ratio: 1.22, 95% confidence interval: 1.12–1.33) compared to the pre-epidemic period. Analyses stratified by sex revealed that the increases in admission rates of alcohol-related liver disease or pancreatitis for females were higher than for males during the COVID-19 epidemic period. The COVID-19 epidemic in Japan might associates an increase in hospital admissions for alcohol-related liver disease and pancreatitis. Our study could support the concern of alcohol consumption and health problems during the COVID-19 pandemic.

The number of people with dementia increases in an aging society; therefore, promoting policies for dementia throughout the community is crucial to creating a dementia-friendly society. Understanding the status of older adults with dementia in each region of Japan will be a helpful indicator. We calculated Dementia-free Life Expectancy and aimed to examine regional disparities and their associated factors. We calculated Dementia-free Life Expectancy and Life Expectancy with Dementia for each secondary medical area in Japan based on the Degree of Independence in Daily Living for the Demented Elderly, using data extracted from the Japanese long-term care insurance claims database. We then conducted a partial least squares regression analysis, the objective variables being Dementia-free Life Expectancy and Life Expectancy with Dementia for both sexes at age 65, and explanatory regional-level variables included demographic, socioeconomic, and healthcare resources variables. The mean estimated regional-level Dementia-free Life Expectancy at age 65 was 17.33 years (95% confidence interval [CI] 17.27-17.38) for males and 20.05 years (95% CI 19.99-20.11) for females. Three latent components identified by partial least squares regression analysis represented urbanicity, socioeconomic conditions, and health services-related factors of the secondary medical areas. The second component explained the most variation in Dementia-free Life Expectancy of the three, indicating that higher socioeconomic status was associated with longer Dementia-free Life Expectancy. There were regional disparities in secondary medical area level Dementia-free Life Expectancy. Our results suggest that socioeconomic conditions are more related to Dementia-free Life Expectancy than urbanicity and health services-related factors.

BackgroundEarly mobilisation of intensive care unit (ICU) patients has been recommended in clinical practice guidelines. Therefore, the Japanese universal health insurance system introduced an additional fee for early mobilisation and/or rehabilitation, which can be claimed by hospitals when starting rehabilitation of ICU patients within 48 hours after their ICU admission. However, the effect of this fee is unknown.ObjectiveTo measure the proportion of ICU patients who received early rehabilitation and the impact on length of ICU stay, the length of hospital stay and discharged to home after the introduction of the financial incentive (additional fee for early mobilisation and/or rehabilitation).Design/methodsWe included patients who were admitted to ICU within 2 days of hospitalisation between April 2016 and January 2020. We conducted interrupted time series analyses to assess the effects of the introduction of the financial incentive.ResultsThe proportion of patients who received early rehabilitation immediately increased after the introduction of the financial incentive (rate ratio (RR) 1.293, 95% CI 1.240 to 1.349). The RR for proportion of patients received early rehabilitation was 1.008 (95% CI 1.005 to 1.011) in the period after the introduction of the financial incentive compared with period before its introduction. There was no statistically significant change in the mean length of ICU stay, the mean length of hospital stay and the proportion of patients who were discharged to home.ConclusionAfter the introduction of the financial incentive, the proportion of ICU patients who received early rehabilitation increased. However, the effects of the financial incentive on the length of ICU stay, the length of hospital stay and the proportion of patients who were discharged to home were limited.

To determine the most reliable comorbidity measure, we adapted and validated outcome-specific comorbidity scores to predict mortality and hospital charges using the comorbidities composing the Charlson and Elixhauser measures and the combination of these two used in developing Gagne's combined comorbidity scores (CC, EC, and GC, respectively). We divided cases of patients discharged in 2016–17 from the Diagnosis Procedure Combination database (n = 2,671,749) into two: one to derive weights for the scores, and the other for validation. We further validated them in subgroups, such as that with a selected diagnosis. The c-statistics of the models predicting in-hospital mortality using new mortality scores using the CC, EC, and GC were 0.780, 0.795, and 0.794, respectively. Among them, that using the EC showed the best calibration. To predict hospital charges and the length of hospital stay (LOS), the models using variables indicating the GC performed the best. The performances of the mortality and expenditure scores were considerably different in predicting each outcome. The new score using the EC performed the best in predicting in-hospital mortality for most situations. For hospital charges and the LOS, the binary variables of the GC showed the best results. The outcome-specific comorbidity scores should be considered for different outcomes.