Journal of Epidemiology最新文献

Background: Amidst the global coronavirus disease (COVID-19) pandemic, Japan has faced a significant public health challenge, evident from the significant increase in mortality rates since 2021. This study described the variations in all-cause and cause-specific changes in mortality up to 2022 in Japan.

Methods: This study used official Vital Statistics from the Ministry of Health, Labour and Welfare (MHLW) to assess the impact of the pandemic on mortality trends. An analysis of all-cause and cause-specific age-standardized mortality rates (ASMRs) from 1995 to 2022 was conducted, employing the 2015 Japan Standard Population. Sex- and cause-specific ASMRs for a particular year were compared with those from the preceding year to assess annual changes.

Results: Among men, the annual all-cause ASMR per 100,000 people increased from 1356.3 in 2021 to 1437.8 in 2022 (6.0% increase). Among women, the annual all-cause ASMR increased from 722.1 in 2021 to 785.8 in 2022 (6.5% increase). Compared with the period 2020 to 2021, COVID-19 (+29.1 per 100,000 people for men and +13.4 per 100,000 people for women), senility (+14.1 per 100,000 people for men and +12.5 per 100,000 people for women), heart disease, malignant neoplasms (for women) and "other causes not classified as major causes" substantially contributed to the increase in all-cause ASMR from 2021 to 2022.

Conclusions: Further long-term monitoring from 2023 onwards is necessary, especially for conditions like senility, cardiovascular disease, and cancer, which may have long-term effects due to changes in healthcare settings, even though the strong countermeasures against COVID-19 were lifted in 2023.

BackgroundMultiple tobacco product (MTP) use is a public health concern due to their combined adverse health effects. MTP use may have increased since heated tobacco products (HTPs) became more prevalent in Japan. This study aimed to (1) estimate the recent prevalence of MTP use and clarify the associated factors compared to (2) non-smokers and (3) single-product users.MethodWe used data from an internet survey conducted in February 2022. The prevalence of MTP use in Japan was estimated using inverse probability-weighted scores from this survey and a nationwide survey by the Japanese government. Tobacco products include six types: cigarettes, HTPs, e-cigarettes, cigars, pipe/water pipes, and smokeless tobacco products. MTP use was defined using the outcome variable (no use, single-product use, and MTP use) based on these six types of use. Using multivariate logistic regression, we calculated the adjusted odds ratios and 95% confidence intervals (CI) to clarify factors associated with MTP use compared to non-smokers, adjusting demographic variables, psychological distress, self-rated health, and alcohol use. Using multivariate Poisson regression, we calculated the adjusted prevalence ratios (aPR) and 95%CI to clarify factors associated with MTP use among smokers, adjusting for these covariates and smoking-related factors like workplace and home smoking rules.ResultsWe analyzed 30,141 participants whose mean age was 47.8 years (standard deviation = 17.9), and 14,722 participants were male (48.8%). The estimated prevalence of MTP use was 6.8%. The most common combination of MTP use was cigarettes and HTPs. Compared to non-smokers, being younger, male, low education, poor psychological distress, poor self-rated health, and alcohol use were factors associated with MTP use. Among smokers, workplace smoking rules, such as a partial smoking ban and no smoking ban, were not associated with MTP use compared to the indoor smoking ban. However, participants with no home smoking ban were positively associated with MTP use compared to those with a ban on both cigarettes and HTPs at home (both cigarettes and HTPs allowed aPR=1.36, 95%CI 1.15 to 1.61, HTPs only allowed aPR=1.73, 95%CI 1.43 to 2.10).ConclusionMTP users may account for a high percentage of Japanese smokers.

Background: Japan's stringent licensing policies for older drivers have not been questioned, possibly due to negative perceptions of older drivers potentially influenced by media coverage of their car crashes. We examined whether older drivers' fatal crashes are over-represented in the news articles.

Methods: To examine the news coverage of fatal crashes that occurred between January 2016 and December 2020, we extracted driver- and crash-related data from articles reporting fatal crashes in the two best-selling newspapers, Yomiuri and Asahi. We obtained the corresponding data of police-reported fatal crashes during the same period. We calculated the proportion of newspaper-reported fatal crashes to police-reported fatal crashes by at-fault driver's age group and crash characteristics.

Results: Of 12,987 police-reported fatal crashes, 5,888 (45%) and 2,909 (22%) crashes were reported in Yomiuri and Asahi newspapers, respectively. Excluding 2,098 crashes where at-fault drivers or their ages were not identifiable, Yomiuri reported 39%, 35%, and 31%, and Asahi reported 20%, 16%, and 14% of fatal crashes caused by drivers aged <30 years, 30-69 years, and 70 years or older, respectively. Crashes that caused more fatalities or killed children tended to be reported regardless of at-fault drivers' age groups. Compared with young and middle-aged drivers, older drivers' fatal crashes involving child fatalities were more reported, whereas their single fatal crashes ending in their own deaths were less reported.

Conclusion: Older drivers' at-fault fatal crashes were not over-represented in the news coverage of overall fatal crashes, and their crashes killing themselves were under-reported.

Background: This study investigated fundamental demographic variables within the Taiwan Biobank (TWBB) and compared them with national demographic statistics. Additionally, a matched cohort analysis compared TWBB participants with nonparticipants to uncover disparities in sociodemographic and clinical characteristics.

Methods: A total of 128,663 individuals aged 30 to 70 without cancer were recruited within the TWBB, and 514,652 nonparticipants matched by age and sex were randomly selected from the National Health Insurance claims database. Sociodemographic variables, healthcare utilization metrics, underlying medical conditions, and subsequent mortality and cancer risk were analyzed.

Results: TWBB participants were more likely to be female, older, married, higher educated, with higher incomes, and urban residency. Healthcare utilization metrics showed minimal differences. Pre-cohort entry, TWBB participants had a higher prevalence of certain medical conditions, such as peptic ulcer disease, osteoarthritis, osteoporosis, and uterine leiomyoma in females. During follow-up periods, elevated mortality rates were observed among TWBB participants but decreased cancer risk.

Conclusion: The TWBB cohort exhibits disparities in sociodemographic and health-related attributes compared to the general population, comprising older, females, married, higher educated, higher income, and predominantly in urban areas. While mortality rates are slightly elevated within the TWBB cohort, cancer incidence rates are lower. Despite limitations in representativeness, the TWBB's size and exposure measures offer valuable insights into associations between exposures and health conditions.

Background: As the most common chronic liver disease worldwide, the natural history of metabolic dysfunction-associated steatotic liver disease (MASLD) in general population is barely reported.

Methods: The Shanghai Suburban Adult Cohort and Biobank study recruited 36,404 adults between 2016 and 2017, and followed up 25,085 participants between 2019 and 2023 in Songjiang District. A questionnaire survey was conducted by face-to-face interview, and physical examination and laboratory tests were conducted. MASLD was diagnosed by liver ultrasound and the cardiometabolic risk factors (CMRF).

Results: A total of 36,122 and 21,831 participants met the criteria for baseline and follow-up analyses. The prevalence of MASLD at baseline was 36.8% overall, and 73.6% among those with a BMI over 28 kg/m². After a median follow-up time of 4.26 years, the incidence density for MASLD was 8.4, and the recovery density was 11.4 per 100 person-years overall, and was 20.0 and 8.4 per 100 person-years for those with baseline BMI over 28 kg/m². Per 1 kg/m² increase in baseline BMI was associated with an 15% increase in incidence (HR=1.15, 95%CI: 1.14-1.17) and an 8% decrease in recovery (HR=0.92, 95%CI: 0.90-0.93). From baseline to follow-up visit, participants who remained non-obese, or remained normal cardiometabolic status always showed the lowest incidence and the highest recovery rate, followed by those with improved status.

Conclusions: The prevalence and incidence of MASLD were high among Shanghai residents, and active recovery was also observed. Obesity was the most important risk factor, and weight loss and lipid level reduction were beneficial for preventing or reversing MASLD.

In epidemiological or clinical studies with follow-ups, data tables generated and processed for statistical analysis are often of the "wide-format" type-consisting of one row per individual. However, depending on the situation and purpose of the study, they may need to be transformed into the "long-format" type-which allows for multiple rows per individual. This tutorial clarifies the typical situations wherein researchers are recommended to split follow-up times to generate long-format data tables. In such applications, the major analytical aims consist of (i) estimating the outcome incidence rates or their ratios between ≥ 2 groups, according to specific follow-up time periods; (ii) examining the interaction between the exposure status and follow-up time to assess the proportional hazards assumption in Cox models; (iii) dealing with time-varying exposures for descriptive or predictive purposes; (iv) estimating the causal effects of time-varying exposures while adjusting for time-varying confounders that may be affected by past exposures; and (v) comparing different time periods within the same individual in self-controlled case series analyses. This tutorial also discusses how to split follow-up times according to their purposes in practical settings, providing example codes in Stata, R, and SAS.

Background: Informal caregiving of older parents adversely affects the mental health of family caregivers. However, the psychological effects of caregiving cessation and the trajectories of these effects have rarely been examined in Japan. This study addresses this gap.

Methods: Based on a 17-wave nationwide population-based survey in Japan, we analyzed longitudinal data from 8,280 individuals aged 50-59 years in 2005 who started caring for their older parents in 2006 or later and ceased caregiving by 2021. We identified the timings of caregiving onset and cessation and examined the trajectory of psychological distress (PD), defined as a Kessler score ≥ 5 on the 6-item Kessler scale (range 0-24). Linear mixed models were used to assess the trajectory of PD that evolved after caregiving cessation over the subsequent three years.

Results: After adjusting for covariates, the probability of PD decreased by 5.6 percentage points (from 40.8%; 95% confidence interval [CI], 4.1-7.0) for female caregivers and by 1.9 percentage points (from 31.7%; 95% CI, 0.3-3.5) for male caregivers at caregiving cessation, remaining stable in subsequent years. For women, higher PD risks related to co-residence with a care recipient diminished quickly upon cessation of caregiving, while the unfavorable impacts of no social activity, extended duration of care, and long-hour daily care persisted in subsequent years. For male caregivers, the impact was generally more limited.

Conclusions: These results suggest that changes in mental health following caregiving cessation warrant serious consideration when developing support programs for former family caregivers.