Effects of 2018 Japan floods on healthcare costs and service utilization in Japan: a retrospective cohort study.

BACKGROUND: Floods and torrential rains are natural disasters caused by climate change. Unfortunately, such events are more frequent and are increasingly severe in recent times. The 2018 Japan Floods in western Japan were one of the largest such disasters. This study aimed to evaluate the effect of the 2018 Japan Floods on healthcare costs and service utilization. METHODS: This retrospective cohort study included all patients whose receipts accrued between July 2017 and June 2019 in Hiroshima, Okayama, and Ehime prefectures using the National Database of Health Insurance Claims. We used Generalized Estimating Equations (GEEs) to investigate yearly healthcare costs during the pre-and post-disaster periods, quarterly high-cost patients (top 10%), and service utilization (outpatient care, inpatient care, and dispensing pharmacy) during the post-disaster period. After the GEEs, we estimated the average marginal effects as the attributable disaster effect. RESULTS: The total number of participants was 5,534,276. Victims accounted for 0.65% of the total number of participants (n = 36,032). Although there was no significant difference in pre-disaster healthcare costs (p = 0.63), post-disaster costs were $3,382 (95% CI: 3,254-3,510) for victims and $3,027 (95% CI: 3,015-3,038) for non-victims (p < 0.001). The highest risk difference among high-cost patients was 0.8% (95% CI: 0.6-1.1) in the fourth quarter. In contrast, the highest risk difference of service utilization was in the first quarter (outpatient care: 7.0% (95% CI: 6.7-7.4), inpatient care: 1.3% (95% CI: 1.1-1.5), and dispensing pharmacy: 5.9% (95% CI: 5.5-6.4)). CONCLUSION: Victims of the 2018 Japan Floods had higher medical costs and used more healthcare services than non-victims. In addition, the risk of higher medical costs was highest at the end of the observation period. It is necessary to estimate the increase in healthcare costs according to the disaster scale and plan for appropriate post-disaster healthcare service delivery.

Fine Particulate Matter and Diabetes Prevalence in Okayama, Japan.

Many studies have shown an association between long-term exposure to particulate matter having an aerodynamic diameter of 2.5 µm or less (PM2.5) and diabetes mellitus (DM), but few studies have focused on Asian subjects. We thus examined the association between long-term exposure to PM2.5 and DM prevalence in Okayama City, Japan. We included 76,591 participants who had received basic health checkups in 2006 and 2007. We assigned the census-level modeled PM2.5 data from 2006 and 2007 to each participant and defined DM using treatment status and the blood testing. PM2.5 was associated with DM prevalence, and the prevalence ratio (95% confidence interval) was 1.10 (1.00-1.20) following each interquartile range increase (2.1 µg/m3) in PM2.5. This finding is consistent with previous results and suggests that long-term exposure to PM2.5 is associated with an increased prevalence of DM in Okayama City, Japan, where the PM2.5 level is lower than in other cities in Asian countries.

Increased care-need in older long-term care insurance users after the 2018 Japan Floods: a retrospective cohort study based on the Japanese long-term care insurance claims.

BACKGROUND: Level of care-need (LOC) is an indicator of elderly person's disability level and is officially used to determine the care services provided in Japan's long-term care insurance (LTCI) system. The 2018 Japan Floods, which struck western Japan in July 2018, were the country's second largest water disaster. This study determined the extent to which the disaster affected the LOC of victims and compared it with that of non-victims. METHODS: This is a retrospective cohort study, based on the Japanese long-term care insurance claims from two months before (May 2018) to five months after the disaster (December 2018) in Hiroshima, Okayama, and Ehime prefectures, which were the most severely damaged areas in the country. A code indicating victim status, certified by a residential municipality, was used to distinguish between victims and non-victims. Those aged 64 years or younger, those who had the most severe LOC before the disaster, and those whose LOC increased even before the disaster were excluded. The primary endpoint was the augmentation of pre-disaster LOC after the disaster, which was evaluated using the survival time analysis. Age, gender, and type of care service were used as covariates. RESULTS: Of the total 193,723 participants, 1,407 (0.7%) were certified disaster victims. Five months after the disaster, 135 (9.6%) of victims and 14,817 (7.7%) of non-victims experienced the rise of LOC. The victim group was significantly more likely to experience an augmentation of LOC than the non-victim group (adjusted hazard ratio 1.24; 95% confidence interval 1.06-1.45). CONCLUSIONS: Older people who were affected by the disaster needed more care than before and the degree of care-need increase was substantially more than non-victims. The result suggests that natural disasters generate more demand for care services among the older people, and incur more resources and cost for society than before.

Increased prescriptions for irritable bowel syndrome after the 2018 Japan Floods: a longitudinal analysis based on the Japanese National Database of Health Insurance Claims and Specific Health Checkups.

BACKGROUND: The frequency and intensity of natural disasters are increasing worldwide, which makes our understanding of disaster-related diseases more important than ever. Natural disasters cause mental stress and infectious diarrhea, but the causal relationship between disasters and a potential consequence of these conditions, irritable bowel syndrome (IBS), is unreported. The 2018 Japan Floods, which took place in July 2018 was one of the largest water disasters in Japan's recorded history. We investigate the change of drug prescriptions for IBS between disaster-suffers and non-sufferers throughout the disaster period to examine the relationship. METHODS: This is a retrospective cohort study based on the Japanese National Database of Health Insurance Claims and Specific Health Checkups in flood-stricken areas between July 2017 and June 2019. We included subjects older than 15 years of age who had visited a medical institution or been hospitalized in the hardest-hit areas of the disaster. Ramosetron, polycarbophil calcium, and mepenzolate bromide (IBS drugs) approved solely for the treatment of IBS in Japan were analyzed. The monthly rate of prescriptions for IBS drugs was compared between municipality-certified disaster victims and non-victims using a controlled interrupted time series analysis. For those who were not prescribed IBS drugs before the disaster (non-users), the occurrence of an IBS drug prescription after the disaster was evaluated using a multivariable logistic regression analysis adjusted for gender and age. RESULTS: Of 5,287,888 people enrolled, 32,499 (0.61%) were certified victims. The prescription rate for IBS drugs among victims increased significantly by 128% immediately after the disaster, while it was stable among non-victims. The trend for the post-disaster prescription rate among victims moved upward significantly when compared to non-victims (0.01% per month; 95% confidence interval (CI) 0.004-0.015; P = 0.001). Among non-users, the occurrence of an IBS drug prescription for victims was 0.71% and was significantly higher than non-victims (0.35%, adjusted odds ratio 2.05; 95% CI 1.81-2.32). CONCLUSIONS: The 2018 Japan Floods increased the rate of prescriptions for IBS drugs, suggesting that the disaster caused or worsened IBS among victims.

Impact of the 2018 Japan Floods on prescriptions for migraine: A longitudinal analysis using the National Database of Health Insurance Claims.

OBJECTIVE: To determine the impact of the 2018 Japan Floods, one of the largest water disasters in Japan, on the number of prescriptions for triptans and ergotamine (acute treatment). BACKGROUND: Natural disasters frequently occur worldwide and may cause psychological stress-related diseases. Acute migraine attacks can be triggered by psychological stress. Disaster victims are likely to experience tremendous psychological stress; however, the relationship between natural disasters and migraine attacks is not well investigated. METHODS: A retrospective longitudinal cohort study was conducted using the National Database of Health Insurance Claims in the hardest-hit areas of the disaster 1 year before and after the disaster. We included people between the ages of 15 and 64 years. Those who had a victim code that was certificated by a local government were assigned to the victim group, and others to the nonvictim group. For those who were not prescribed acute treatment before the disaster (i.e., group without previous acute treatment), the cumulative incidence of new prescriptions for acute treatment at 12 months of follow-up was calculated and compared between victims and nonvictims with survival analysis. RESULTS: Of 3,475,515 people aged 15 to 64 years enrolled in the study, 16,103 (0.46%) were assigned to the victim group. In the group without previous acute treatment, 111 (0.70%) of 15,933 victims and 14,626 (0.43%) of 3,431,423 nonvictims were newly prescribed acute treatment after the disaster, and new prescriptions for acute treatment were significantly more likely to occur in victims than in nonvictims (adjusted hazard ratio, 1.68; 95% CI, 1.39-2.02). CONCLUSIONS: The 2018 Japan Floods increased the number of prescriptions for acute migraine medications among victims, suggesting that acute migraine attacks occurred more frequently after a natural disaster.

Discontinuation of long-term care among persons affected by the 2018 Japan Floods: a longitudinal study using the Long-term Care Insurance Comprehensive Database.

BACKGROUND: Most older people with disabilities or illnesses continue to use long-term care (LTC) services for the rest of their lives. However, disasters can cause a discontinuation of LTC services, which usually means tragic outcomes of affected persons. In view of the recent progression of population aging and the increase in natural disasters, this study focuses on the impact of disasters on older people's discontinuation of LTC services, and those more risk of such discontinuation than others. However, current evidence is scarce. METHODS: We conducted a retrospective cohort study with 259,081 subjects, 2,762 of whom had been affected by disaster and 256,319 who had not been affected during the 2018 Japan Floods. The sample in the three most disaster-affected prefectures was drawn from the Long-term Care Insurance Comprehensive Database and included older people certified with care-need level. The observation period was two months before the disaster and five months after it. We calculated the hazard ratio (HR) of municipality-certified subjects affected by the disaster versus those who were not. Subgroup analyses were conducted for categories of individual-, facility- and region-associated factors. RESULTS: Affected persons were twice as likely to discontinue LTC services than those who were not affected (adjusted HR, 2.06 95% CI, 1.91-2.23). 34% of affected persons whose facilities were closed discontinued their LTC services at five months after the disaster. A subgroup analysis showed that the risk of discontinuing LTC services for affected persons compared to those who were not affected in the relatively younger subgroup (age < 80: adjusted HR, 2.55; 95% CI, 2.20-2.96 vs. age ≥ 80 : 1.91; 1.75-2.10), and the subgroup requiring a lower level of care (low: 3.16; 2.74-3.66 vs. high: 1.71; 1.50-1.96) were more likely to discontinue than the older and higher care level subgroups. CONCLUSIONS: A natural disaster has a significant effect on the older people's discontinuation of LTC services. The discontinuations are supposedly caused by affected persons' death, hospitalization, forced relocation of individuals, or the service provider's incapacity. Accordingly, it is important to recognize the risk of disasters and take measures to avoid discontinuation to protect older persons' quality of life.

Effects of the 2018 Japan Floods on long-term care insurance costs in Japan: retrospective cohort study.

BACKGROUND: Climate change has increased the frequency and severity of torrential rains and floods around the world. Estimating the costs of these disasters is one of the five global research priorities identified by WHO. The 2018 Japan Floods hit western Japan causing extensive destruction and many deaths, especially among vulnerable elderly. Such affected elderly would need long-term care due to the various health problems caused by the disaster. A Long-Term Care Insurance (LTCI) system provides care services in Japan. The aim of this study was to evaluate the effect of the 2018 Japan Floods on LTCI costs and service utilization. METHODS: The participants of this retrospective cohort study were all verified persons utilizing LTCI services in Hiroshima, Okayama and Ehime prefectures. The observation period was from 2 months before to 6 months after the disaster. We used Generalized Estimating Equations (GEEs) to examine the association between disaster status (victims or non-victims) and the monthly total costs of LTCI service (with gamma-distribution/log-link) by residential environment (home or facility). Among home residents, we also examined each service utilization (home-based service, short-stay service and facility service), using the GEEs. After the GEEs, we estimated Average Marginal Effects (AME) over all observation periods by months as the attributable disaster effect. RESULTS: The total number of participants was 279,578. There were 3024 flood victims. The disaster was associated with significantly higher total costs. The AME for home residents at 2 months after was $214 (Standard Error (SE): 12, p < 0.001), which was the highest through the observation period. Among facility residents, the AME immediately after the disaster increased by up to $850 (SE: 29, p < 0.001). The service utilization among home residents showed a different trend for each service. The AME of home-based services decreased by up to - 15.2% (SE:1.3, p < 0.001). The AME for short-stay service increased by up to 8.2% (SE: 0.9, p < 0.001) and the AME for facility service increased by up to 7.4% (SE: 0.7, p < 0.001), respectively. CONCLUSIONS: The 2018 Japan Floods caused an increase in LTCI costs and the utilization of short-stay and facility services, and a decrease in utilization of home-based services.

Long-term exposure to fine particle matter and all-cause mortality and cause-specific mortality in Japan: the JPHC Study.

BACKGROUND: Many epidemiological studies have reported the association between exposure to particulate matter and mortality, but long-term prospective studies from Asian populations are sparse. Furthermore, associations at low levels of air pollution are not well clarified. Here, we evaluated associations between long-term exposure to particulate matter <2.5 µg/m3 (PM2.5) and mortality in a Japanese cohort with a relatively low exposure level. METHODS: The Japan Public Health Center-based Prospective Study (JPHC Study) is a prospective cohort study of men and women aged 40-69 years in 1990 who were followed up through 2013 for mortality. In this cohort of 87,385 subjects who did not move residence during follow-up, average PM2.5 levels from 1998 to 2013 by linkage with 1-km2 grids of PM2.5 concentration were assigned to the residential addresses of all participants. To avoid exposure misclassification, we additionally evaluated the association between 5-year (1998-2002) cumulative exposure level and mortality during the follow-up period from 2003 to 2013 in 79,078 subjects. Cox proportional hazards models were used to calculate the association of long-term exposure to PM2.5 on mortality, with adjustment for several individual confounding factors. RESULTS: Average PM2.5 was 11.6 µg/m3. Average PM2.5 exposure was not associated with all-cause mortality or cancer and respiratory disease mortality. However, average PM2.5 was positively associated with mortality from cardiovascular disease (hazard ratio (HR) of 1.23 (95%CI=1.08-1.40) per 1-µg/m3 increase; in particular, HR in mortality from cerebrovascular disease was 1.34 (95%CI=1.11-1.61) per 1-µg/m3 increase. Additionally, these results using cumulative 5-year PM2.5 data were similar to those using average PM2.5 over 15 years. CONCLUSIONS: We found evidence for a positive association between PM2.5 exposure and mortality from cardiovascular disease in a Japanese population, even in an area with relatively low-level air pollution.

Impact of the 2018 Japan Floods on benzodiazepine use: a longitudinal analysis based on the National Database of Health Insurance Claims.

PURPOSE: Natural disaster has an impact on mental health. The 2018 Japan Floods, which took place in July 2018 were one of the largest water disasters in Japan's recorded history. We aimed to evaluate the change in the number of benzodiazepine prescriptions by physicians before and after the disaster. METHODS: A retrospective cohort study based on the National Database of Health Insurance Claims was conducted in the flood-stricken areas between July 2017 and June 2019. The subjects were divided between victims and non-victims according to certification by local governments. Members of both groups were then categorized into three groups based on their pre-flood use of benzodiazepines: non-user, occasional user, and continuous user. Difference-in-differences (DID) analysis with a logistic regression model was conducted to estimate the effect of the disaster among victims by comparing the occurrence of benzodiazepine prescriptions before and after the disaster. RESULTS: Of 5,000,129 people enrolled, 31,235 were victims. Among all participants, the mean prescription rate for benzodiazepines in victims before the disaster (11.3%) increased to 11.8% after the disaster, while that in non-victims (8.3%) decreased to 7.9%. The DID analysis revealed that benzodiazepine prescription among victims significantly increased immediately after the disaster (adjusted ratio of odds ratios (ROR) 1.07: 95% confidence interval 1.05-1.11), and the effect of the disaster persisted even 1 year after the disaster (adjusted ROR 1.2: 95% confidence interval 1.16-1.24). CONCLUSION: The flood increased the number of benzodiazepines prescriptions among victims, and the effect persisted for at least 1 year.

Geographic distribution of family physicians in Japan and the USA: a cross-sectional comparative study.

INTRODUCTION: Solutions for geographic maldistribution of physicians is challenging around the world, but primary care specialists are expected to resolve this issue. This study compares the geographic distribution of family physicians in Japan and the USA, both of which are developed countries without a major system for physician allocation by the public sector; however, the two countries differ greatly in the maturity of family medicine (ie length of its history as part of the healthcare system and the population of qualified family medicine experts). METHODS: This cross-sectional comparative study used publicly available online databases for Japan in 2018 and 2017 in the USA. The municipalities in Japan and counties in the USA were divided into quintile groups according to population density. The number of family physicians per unit population in each group of areas was calculated, and was evaluated with a residual analysis. The geographic distribution of all physicians in Japan was simulated assuming that the proportion of family physicians among all physicians in Japan (0.16%) was increased to match that in the USA (11.8%). RESULTS: Of 320 084 physicians in Japan and 899 244 in the USA, 519 (77.2%) family physicians in Japan and 105 999 (100%) in the USA were included. The distribution of family physicians in Japan was noticeably shifted to areas with the lowest population density. In contrast, family physicians in the USA were distributed equally across areas. The distribution of physicians of other specialties (general internists, pediatricians, surgeons and obstetricians/gynecologists) was shifted heavily to areas with the highest population densities in both countries. The simulation analysis showed the geographic maldistribution of the total number of physicians improved substantially if the proportion of family physicians in Japan is increased to match that in the USA. CONCLUSION: The distribution of family physicians is more equitable than that of other medical specialists; however, an immature family medicine system can lead to an aggregation of family physicians in rural areas. This aggregation supports equity due to the broader scope of practice required by family physicians in rural areas. In countries where family medicine has not yet matured as a specialty, provided that the equitable aggregation of family physicians in rural areas can be maintained, increasing the number of family physicians as a proportion of the total number of physicians may improve the geographic maldistribution of the total number of physicians.

Education policies to increase rural physicians in Japan: a nationwide cohort study.

BACKGROUND: Japan has established comprehensive education-scholarship programs to supply physicians in rural areas. Their entrants now comprise 16% of all medical students, and graduates must work in rural areas for a designated number of years. These programs are now being adopted outside Japan, but their medium-term outcomes and inter-program differences are unknown. METHODS: A nationwide prospective cohort study of newly licensed physicians 2014-2018 (n = 2454) of the four major types of the programs-Jichi Medical University (Jichi); regional quota with scholarship; non-quota with scholarship (scholarship alone); and quota without scholarship (quota alone)-and all Japanese physicians in the same postgraduate year (n = 40,293) was conducted with follow-up workplace information from the Physician Census 2018, Ministry of Health, Labour and Welfare. In addition, annual cross-sectional survey for prefectural governments and medical schools 2014-2019 was conducted to obtain information on the results of National Physician License Examination and retention status for contractual workforce. RESULTS: Passing rate of the National Physician License Examination was highest in Jichi, followed in descending order by quota with scholarship, the other two programs, and all medical graduates. The retention rate for contractual rural service of Jichi graduates 5 years after graduation (n = 683; 98%) was higher than that of quota with scholarship (2868; 90%; P < 0.001) and scholarship alone (2220; 81% < 0.001). Relative risks of working in municipalities with the least population density quintile in Jichi, quota with scholarship, scholarship alone, and quota alone in postgraduate year 5 were 4.0 (95% CI 3.7-4.4; P < 0.001), 3.1 (2.6-3.7; < 0.001), 2.5 (2.1-3.0; < 0.001), and 2.5 (1.9-3.3; < 0.001) as compared with all Japanese physicians. There was no significant difference between each program and all physicians in the proportion of those who specialized in internal medicine or general practice in postgraduate years 3 to 5 CONCLUSIONS: Japan's education policies to produce rural physicians are effective but the degree of effectiveness varies among the programs. Policymakers and medical educators should plan their future rural workforce policies with reference to the effectiveness and variations of these programs.

Temporal trends in voluntary behavioural changes during the early stages of the COVID-19 outbreak in Japan.

OBJECTIVES: This study evaluated the characteristics of individuals with voluntary behavioural changes (cancellation and postponement of bookings) during the early stages of the coronavirus disease 2019 (COVID-19) outbreak in Japan. In addition, the temporal trends of these changes were captured. STUDY DESIGN: A cross-sectional analysis and a time series analysis were conducted. METHODS: A nation-wide retrospective panel survey was conducted at the end of March 2020 (n = 1052). Odds ratios for cancellations/postponements with respect to individual characteristics were calculated in the analysis. To determine the temporal trend, the incidence ratios were compared throughout the time series analysis for four time periods: period 1, before the announcement of the Public Health Emergency of International Concern (PHEIC) from the World Health Organisation (WHO) (January 1-31); period 2, after the announcement of PHEIC (February 1-26); period 3, after the announcement of school closures by the Japanese government (February 27 - March 11); and period 4, after the announcement of the pandemic by the WHO (March 12-31). RESULTS: In total, 72% of respondents cancelled or postponed their bookings at least once, and about half of the changes occurred in period 3. Elderly individuals' changes in gatherings were, on average, 5.9 times (95% confidence interval [CI] 1.9-17.9) higher than those of young individuals. The incidence rate of change in gatherings during period 3 was 7.11 times (95% CI: 5.16-9.81) higher than in period 2 and 3.15 times (95% CI: 2.25-4.43) higher than in period 4. Significant interaction terms were observed in age and residential city size, but not sex, of the respondents. CONCLUSIONS: A significant proportion of the Japanese population voluntarily changed their behaviour during the early stages of the COVID-19 outbreak, and the government's announcement of school closures was a key trigger during this time.

The effect of the 2018 Japan Floods on cognitive decline among long-term care insurance users in Japan: a retrospective cohort study.

BACKGROUND: The July 2018 Japan Floods caused enormous damage to western Japan. Such disasters can especially impact elderly persons. Research has shown that natural disasters exacerbated a decline in cognitive function, but to date, there have been no studies examining the effects of this disaster on the elderly. The object of this study was to reveal the effect of this disaster in terms of cognitive decline among the elderly. METHODS: Study participants were certified users of the long-term care insurance (LTCI) system in Hiroshima, Okayama, and Ehime prefectures from May 2018 to June 2018. The observation period was from July 2018 to December 2018. Our primary outcome was cognitive decline after the disaster using a dementia symptomatology assessment. In addition to a crude model, a multivariate Cox proportional hazards model was used to assess the cognitive decline of victims, adjusting for age classification, gender, the level of dementia scale before the disaster occurred, residential environment, whether a participant used facilities shut down after the disaster, and population density. After we confirmed that the interaction term between victims and residential environment was statistically significant, we stratified them for the analysis. RESULTS: The total number of participants was 264,614. Victims accounted for 1.10% of the total participants (n = 2,908). For the Cox proportional hazards model, the hazard ratio of the victims was 1.18 (95% confidential interval (CI): 1.05-1.32) in the crude model and 1.12 (95% CI: 1.00-1.26) in the adjusted model. After being stratified by residential environment, the hazard ratio of home victims was 1.20 (95% CI: 1.06-1.36) and the hazard ratio of facility victims was 0.89 (95% CI: 0.67-1.17). CONCLUSIONS: This study showed that elderly living at home during the 2018 Japan Floods were at risk for cognitive decline. Medical providers, care providers, and local governments should establish a system to check on the cognitive function of elderly victims and provide necessary care support.

Effects of transport-related COVID-19 policy measures: A case study of six developed countries.

This study attempts to provide scientifically-sound evidence for designing more effective COVID-19 policies in the transport and public health sectors by comparing 418 policy measures (244 are transport measures) taken in different months of 2020 in Australia, Canada, Japan, New Zealand, the UK, and the US. The effectiveness of each policy is measured using nine indicators of infections and mobilities corresponding to three periods (i.e., one week, two weeks, and one month) before and after policy implementation. All policy measures are categorized based on the PASS approach (P: prepare-protect-provide; A: avoid-adjust; S: shift-share; S: substitute-stop). First, policy effectiveness is compared between policies, between countries, and over time. Second, a dynamic Bayesian multilevel generalized structural equation model is developed to represent dynamic cause-effect relationships between policymaking, its influencing factors and its consequences, within a unified research framework. Third, major policy measures in the six countries are compared. Finally, findings for policymakers are summarized and extensively discussed.

Serum Alanine Transaminase as a Predictor of Type 2 Diabetes Incidence: The Yuport Prospective Cohort Study.

Prior studies have shown an association between the incidence of diabetes with liver enzymes, such as alanine transaminase (ALT). Liver fibrosis scores, such as the Fibrosis-4 index which indicates chronic liver damage, were also associated with diabetes development. However, no literature compared predictive accuracy between ALT and Fibrosis-4 index. Thus, we aimed to determine it, and to assess its association using inverse probability of treatment weighting. This was a non-concurrent prospective cohort study of 9,748 subjects without diabetes receiving Yuport Health Checkup in Japan between 1998 and 2006. ALT was categorized into three groups: the highest ALT group (men ≥ 30 U/L and women ≥ 20 U/L), the middle (men ≥ 20 and < 30 U/L, and women ≥ 14 and < 20 U/L), and the lowest (men < 20 U/L and women < 14 U/L). The primary outcome was the new onset of diabetes. The area under the receiver operating characteristic curves (AUC) of ALT for predicting the diabetes development was higher than that of any other markers of liver damage. The AUC for ALT was 0.71, while that for the Fibrosis-4 index was 0.51 (p < 0.001 for the difference between the AUCs). The highest and middle ALT groups had a significantly higher incidence of diabetes than the lowest group: adjusted relative risk 1.79 [95% confidence interval (CI): 1.29, 2.58], and 1.64 [95% CI: 1.17, 2.38] respectively. Of the various indicators of liver function, ALT is likely to be the most accurate and associated predictor of diabetes development.

Geographical distribution of family physicians in Japan: a nationwide cross-sectional study.

BACKGROUND: Geographical maldistribution of physicians, and their subsequent shortage in rural areas, has been a serious problem in Japan and in other countries. Family Medicine, a new board-certified specialty started 10 years ago in Japan by Japan Primary Care Association (JPCA), may be a solution to this problem. METHODS: We obtained the workplace information of 527 (78.4%) of the 672 JPCA-certified family physicians from an online database. From the national census data, we also obtained the workplace information of board-certified general internists, surgeons, obstetricians/gynaecologists and paediatricians and of all physicians as the same-generation comparison group (ages 30 to 49). Chi-squared test and residual analysis were conducted to compare the distribution between family physicians and other specialists. RESULTS: Five hundred nineteen JPCA-certified family physicians and 137,587 same-generation physicians were analysed. The distribution of family physicians was skewed to municipalities with a lower population density, which shows a sharp contrast to the urban-biased distribution of other specialists. The proportion of family physicians in non-metropolitan municipalities was significantly higher than that expected based on the distribution of all same-generation physicians (p < 0.001). CONCLUSIONS: Family physicians distributed in favour of rural areas much more than any other specialists in Japan. The better balance of family physician distribution reported from countries with a strong primary care orientation seems to hold even in a country where primary care orientation is weak, physician distribution is not regulated, and patients have free access to healthcare. Family physicians comprise only 0.2% of all Japanese physicians. However, if their population grows, they can potentially rectify the imbalance of physician distribution. Government support is mandatory to promote family medicine in Japan.

White Blood Cell Count and C-Reactive Protein Independently Predicted Incident Diabetes: Yuport Medical Checkup Center Study.

Aim: White blood cell (WBC) count or C-reactive protein (CRP) level alone may not fully indicate the chronic inflammation causing type 2 diabetes. We examined both WBC count and CRP level, independently and in combination, as predictive markers for type 2 diabetes and also considered the influence of obesity and other individual characteristics on the relationship. Materials and Methods: In total, 9,706 participants were enrolled with WBC < 10*109/L and CRP < 10 mg/L using data from the Yuport Medical Checkup Center Study. The cumulative incidence of type 2 diabetes [defined either as known diabetes, fasting plasma glucose ≥ 7.0 mmol/L, or HbA1c ≥ 6.5% (47.5 mmol/mol)] was measured. Hazard ratios (HRs) were estimated using a Cox proportional hazards model. Results: During study period, 272 men (5.5%) and 113 women (2.4%) progressed to diabetes. The progression to diabetes was predicted by both increased baseline levels of WBC count [adjusted HR = 1.29 (95% CI: 1.04-1.60)] and CRP level [1.39 (1.10-1.74)], even after adjusting for possible confounders. The combined presence was more predictive of diabetes than either alone in a four-groups analysis [1.75 (1.28-2.40)]. In addition, the elevated HRs of either or both higher WBC and CRP levels were observed across four subgroups of body mass index (BMI), including low BMI, and people who had at least one occurrence of dyslipidemia. Conclusion: Increased WBC counts and CRP levels were predictive for type 2 diabetes and the combination augmented the risk of diabetes, regardless of whether the BMI was high or low.

Intrauterine and Early Postnatal Exposure to Particulate Air Pollution and Kawasaki Disease: A Nationwide Longitudinal Survey in Japan.

OBJECTIVES: To examine the effects of prenatal and postnatal exposure to particulate matter on Kawasaki disease (KD) occurrence, using data from a nationwide population-based longitudinal survey in Japan that began in 2010. STUDY DESIGN: Prenatal and postnatal suspended particulate matter concentrations were obtained at municipality level and assigned to participants based on their municipality of birth. We analyzed data from 30 367 participants with data on either exposure period. We used hospital admission for KD from 6 to 30 months of age as the main outcome of interest. We conducted a multilevel logistic regression analysis, adjusting for individual and municipality-level variables. RESULTS: Children who were exposed to higher levels of suspended particulate matter, in particular during pregnancy, were more likely to be hospitalized for KD. The ORs for ≥25 µg/m3 exposure compared with <20 µg/m3 exposure were 1.59 (95% CI 1.06, 2.38) for prenatal exposure and 1.41 (0.82, 2.41) for postnatal exposure. Prenatal exposure during mid-to-late gestation seemed to be more relevant for the increased risk. CONCLUSIONS: Early life exposure to particulate air pollution, in particular during pregnancy, is associated with an increased risk of KD hospital admission in early childhood in a nationally representative sample in Japan.

Are People With a History of Disease More Susceptible to a Short-term Exposure to Asian Dust?: A Case-Crossover Study Among the Elderly in Japan.

BACKGROUND: Factors influencing the susceptibility of the elderly to the adverse health effects of short-term exposure to desert dust have yet to be explored. We aimed to identify the disease histories that increase the susceptibility of the elderly to disease onset induced by dust events. METHODS: We used a time-stratified case-crossover design using data on 17,874 elderly residents (≥65 years) of Okayama, Japan, who were transported to hospital emergency rooms because of cardiovascular and respiratory diseases between 2006 and 2010. We used conditional logistic models to calculate the odds ratios (ORs) per interquartile increase of Asian dust. We then conducted stratified analyses based on patients with or without a history of chronic disease. RESULTS: Dust concentration was associated with a higher risk of cardiovascular (3-day lag), cerebrovascular (same day), and respiratory (3-day lag) disease onset. Patients with a history of respiratory disease had a higher risk of cardiovascular (OR: 1.09 [95% confidence interval (CI) = 1.00, 1.19] vs. 0.99 [0.97, 1.01]; P for interaction = 0.03) or cerebrovascular (1.15 [1.01, 1.31] vs. 0.99 [0.97, 1.01]; P = 0.02) disease onset (2-day lag) than those without. Patients with diabetes also had a higher risk of cerebrovascular disease onset (1.09 [1.00, 1.19] vs. 0.99 [0.97, 1.01]; P = 0.05) (2-day lag). In contrast, patients with a history of cerebrovascular disease had a lower risk of respiratory disease. CONCLUSIONS: People with a history of respiratory disease or diabetes might have a greater susceptibility to cardiovascular disease from Asian dust and would therefore benefit from proactive interventions during desert dust events.

Fine-particulate Air Pollution from Diesel Emission Control and Mortality Rates in Tokyo: A Quasi-experimental Study.

BACKGROUND: Evidence linking air pollution with adverse health outcomes is accumulating. However, few studies have adopted a quasi-experimental design to evaluate whether decline in air pollution from regulatory action improves public health. We evaluated the effect of a diesel emission control ordinance introduced in 2003 on mortality rates in 23 wards of the Tokyo metropolitan area, Japan, from October 2000 to September 2012, taking into account change in mortality rates in a reference population (Osaka) with a introduction of such a regulation in 2009. METHODS: We obtained daily counts of all-cause and cause-specific mortality and concentrations of nitrogen dioxide (NO2) and particulate matter less than 2.5 µm in diameter (PM2.5) during the study period. We employed interrupted time-series analysis to analyze the data. RESULTS: Decline in NO2 during the study period was similar in the two areas, while decline in PM2.5 and the improvement in age-standardized mortality rates were greater in Tokyo's 23 wards compared with Osaka. Even after adjusting for age-standardized mortality rates in Osaka, percent changes in mortality between the first 3-year interval (October 2000 to September 2003) and the last 3-year interval (October 2009 to September 2012) were -6.0% for all causes, -11% for cardiovascular disease, -10% for ischemic heart disease, -6.2% for cerebrovascular disease, -22% for pulmonary disease, and -4.9% for lung cancer. We did not observe a decline in mortality from other causes. CONCLUSIONS: This quasi-experimental study in Tokyo suggests that emission control was associated with improvements in both air quality and health outcomes.