International journal of epidemiology最新文献

{"title":"Longitudinal association between disability and suicide mortality in Republic of Korea","authors":"Hwa-Young Lee, Dong Wook Shin, Kyung-Do Han, Ichiro Kawachi","doi":"10.1093/ije/dyae163","DOIUrl":"https://doi.org/10.1093/ije/dyae163","url":null,"abstract":"Background The Republic of Korea has reported the highest suicide rate globally since 2018. Previous studies have highlighted disability as a significant risk factor for suicide. However, comprehensive examination on the association between suicide mortality and severities and types of disabilities, and on how these associations vary according to sociodemographic characteristics, health behaviours and comorbidity profiles has never been performed. Methods We performed a retrospective cohort study of a nationally representative sample of 3 591 398 individuals subject to the health check-up provided by the Korean National Health Insurance in 2009, including individuals with (n = 126 508) and without (n = 3 734 890) disabilities, and followed-up until December 2021 Results Overall, the presence of disability was associated with an increased risk of suicide mortality [hazard ratio (HR), 1.38; 95% confidence interval (CI), 1.30–1.47] compared to the absence of disability. This risk was more pronounced in individuals with Grade 1–3 disabilities (HR, 1.68; 95% CI, 1.52–1.85) than those with Grade 4–6 disabilities (HR, 1.28; 95% CI, 1.20–1.47). Among various types of disabilities, individuals with a disability associated with a mental disorder had the highest HR (HR, 4.49; 95% CI, 3.38–5.97), followed by those with visual impairment (HR, 1.47; 95% CI, 1.26–1.73), brain damage (HR, 1.45; 95% CI, 1.18–1.79), hearing impairment (HR, 1.35; 95% CI, 1.15–1.58) and extremity disability (HR, 1.30; 95% CI, 1.21–1.40). Stratified analyses revealed that the suicide risk associated with disabilities was more pronounced in individuals with specific sociodemographic characteristics and health behaviours. Conclusion Our findings highlight the need to prioritize policy efforts to address suicide mortality among people with disabilities, considering the distinct risks associated with disability types and severity.","PeriodicalId":14147,"journal":{"name":"International journal of epidemiology","volume":"28 1","pages":""},"PeriodicalIF":7.7,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142805446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of a registration interval correction model for enhancing excess all-cause mortality surveillance during the COVID-19 pandemic","authors":"Anna A Sordo, Anna A Do, Melissa J Irwin, David J Muscatello","doi":"10.1093/ije/dyae145","DOIUrl":"https://doi.org/10.1093/ije/dyae145","url":null,"abstract":"Background Estimates of excess deaths provide critical intelligence on the impact of population health threats including seasonal respiratory infections, pandemics and environmental hazards. Timely estimates of excess deaths can inform the response to COVID-19. However, access to timely mortality data is challenging due to the time interval between the death occurring and the date the death is registered and available for analysis (‘registration interval’). Development Using data from the New South Wales, Australia, Births Deaths and Marriages Registry, we developed a Poisson regression model that estimated near-complete weekly counts, for a given week of death, from partially-complete death registration counts. A 10-weeks lag was considered, and a 2-year baseline of historical registration intervals was used to correct lag weeks. Application Validation of estimated counts found that the root-mean-square error (as a percentage of mean observed near-complete registrations) was less than 7% for lag week 3, and <5% for lag weeks 4–9. We incorporated this method utilizing an existing rapid weekly mortality surveillance system. Counts corrected for registration interval replaced observed values for the most recent weeks. Excess death estimates, based on corrected counts, were within 1.2% of near-complete counts available 9 weeks from the end of the analysis period. Conclusions This study demonstrates a method for estimating recent death counts to correct for registration intervals. Estimates obtained at a 3-week lag were acceptable, while those at greater than 3 weeks were optimal.","PeriodicalId":14147,"journal":{"name":"International journal of epidemiology","volume":"62 1","pages":""},"PeriodicalIF":7.7,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142596756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Longitudinal transitions of the double burden of overweight and stunting from childhood to early adulthood in India, Peru, and Vietnam.","authors":"Nora A Escher, Rodrigo M Carrillo-Larco, Jennie C Parnham, Katherine Curi-Quinto, Suparna Ghosh-Jerath, Christopher Millett, Paraskevi Seferidi","doi":"10.1093/ije/dyae151","DOIUrl":"10.1093/ije/dyae151","url":null,"abstract":"<p><strong>Background: </strong>Examining trajectories of undernutrition and overnutrition separately limits understanding of the double burden of malnutrition. We investigated transitions between normal, stunting, overweight and concurrent stunting and overweight (CSO) and associations with sociodemographic factors in children and adolescents.</p><p><strong>Methods: </strong>We used data from the Young Lives cohort in India, Peru and Vietnam, which follow children 1-15 (N = 5413) and 8-22 years (N = 2225) over five rounds between 2002 and 2016. We estimated transitions between nutritional states using a Markov chain model and estimated sociodemographic associations employing a logit parametrization.</p><p><strong>Results: </strong>Transitions into stunting peaked in ages 1-5 years (India: 22.9%, Peru: 17.6%, Vietnam: 14.8%), while stunting reversal was highest during adolescence across all countries. Transitions into overweight peaked in ages 19-22, while overweight reversal increased in ages 1-5 and 12-15 years. Transitions away from stunting to overweight were rare; more commonly, stunted individuals developed overweight while remaining stunted, leading to a CSO state. In Peru, 20.2% of 19-year-olds who were stunted reached CSO by age 22, with 4% shifting from stunted to overweight. Reversion to a normal state is least likely for those in a CSO state. Household wealth gradually reduced the likelihood of transitioning into stunting [odds ratios (ORs) for wealthiest quartile in Peru: 0.29, 95% confidence interval (CI) 0.20-0.41; India: 0.43, 95% CI 0.32-0.57; Vietnam: 0.36, 95% CI 0.26-0.50), with stunting reversal only being more likely in the two wealthiest quartiles across all countries (ORs for wealthiest quartile in Peru: 2.39, 95% CI 1.57-3.65; India: 1.28, 95% CI 1.05-1.54; Vietnam: 1.89, 95% CI 1.23-2.91). In Vietnam, only the richest quartile was at higher risk of transitioning into overweight (OR 1.87, 95% CI 1.28-2.72), while in Peru and India, the risk gradually rose across all wealth quartiles (ORs for wealthiest quartile in Peru: 2.84, 95% CI 2.14-3.77; India: 2.99, 95% CI 1.61-5.54).</p><p><strong>Conclusions: </strong>Childhood and adolescence represent critical periods for prevention and reversal of stunting and overweight, thereby averting the development of CSO later in life. Context-specific interventions are crucial for preventing disparate transitions towards the double burden of malnutrition across socioeconomic groups.</p>","PeriodicalId":14147,"journal":{"name":"International journal of epidemiology","volume":"53 6","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11565240/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142638936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Response: Rheumatoid arthritis and cancer risk in the Million Women Study.","authors":"TienYu Owen Yang, Sarah Floud, Gillian K Reeves","doi":"10.1093/ije/dyae144","DOIUrl":"10.1093/ije/dyae144","url":null,"abstract":"","PeriodicalId":14147,"journal":{"name":"International journal of epidemiology","volume":"53 6","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11534085/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142575834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Long-term exposure to PM2.5 and mortality: a national health insurance cohort study.","authors":"Jeongmin Moon,Ejin Kim,Hyemin Jang,Insung Song,Dohoon Kwon,Cinoo Kang,Jieun Oh,Jinah Park,Ayoung Kim,Moonjung Choi,Yaerin Cha,Ho Kim,Whanhee Lee","doi":"10.1093/ije/dyae140","DOIUrl":"https://doi.org/10.1093/ije/dyae140","url":null,"abstract":"BACKGROUNDPrevious studies with large data have been widely reported that exposure to fine particulate matter (PM2.5) is associated with all-cause mortality; however, most of these studies adopted ecological time-series designs or have included limited study areas or individuals residing in well-monitored urban areas. However, nationwide cohort studies including cause-specific mortalities with different age groups were sparse. Therefore, this study examined the association between PM2.5 and cause-specific mortality in South Korea using the nationwide cohort.METHODSA longitudinal cohort with 187 917 National Health Insurance Service-National Sample Cohort participants aged 50-79 years in enrolment between 2002 and 2019 was used. Annual average PM2.5 was collected from a machine learning-based ensemble model (a test R2 = 0.87) as an exposure. We performed a time-varying Cox regression model to examine the association between long-term PM2.5 exposure and mortality. To reduce the potential estimation bias, we adopted generalized propensity score weighting method.RESULTSThe association with long-term PM2.5 (2-year moving average) was prominent in mortalities related to diabetes mellitus [hazard ratio (HR): 1.03 (95% CI: 1.01, 1.06)], circulatory diseases [HR: 1.02 (95% CI: 1.00, 1.03)] and cancer [HR: 1.01 (95% CI: 1.00, 1.02)]. Meanwhile, circulatory-related mortalities were associated with a longer PM2.5 exposure period (1 or 2-year lags), whereas respiratory-related mortalities were associated with current-year PM2.5 exposure. In addition, the association with PM2.5 was more evident in people aged 50-64 years than in people aged 65-79 years, especially in heart failure-related deaths.CONCLUSIONSThis study identified the hypothesis that long-term exposure to PM2.5 is associated with mortality, and the association might be different by causes of death. Our result highlights a novel vulnerable population: the middle-aged population with risk factors related to heart failure.","PeriodicalId":14147,"journal":{"name":"International journal of epidemiology","volume":"19 1","pages":""},"PeriodicalIF":7.7,"publicationDate":"2024-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142448066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cohort Profile: The Xiangya Osteoarthritis (XO) Study.","authors":"Jiatian Li, Tuo Yang, Yuqing Zhang, Weiya Zhang, Michael Doherty, Junqing Xie, Yilun Wang, Ting Jiang, Dongxing Xie, Hui Li, Zidan Yang, Xiaoxiao Li, Wei Li, Bei Xu, Zhenglei Zhu, Yuqing Wang, Qianlin Weng, Ke Liu, Yuanheng Yang, Jie Xu, Changjun Li, Jie Wei, Chao Zeng, Guanghua Lei","doi":"10.1093/ije/dyae156","DOIUrl":"https://doi.org/10.1093/ije/dyae156","url":null,"abstract":"","PeriodicalId":14147,"journal":{"name":"International journal of epidemiology","volume":"53 6","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142686885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Risk of psychiatric hospitalization in low-income youth: longitudinal findings from the 100 Million Brazilian Cohort.","authors":"Lidiane Toledo, Rodrigo Rodrigues, Flávia Alves, Fillipe Guedes, Jacyra Azevedo Paiva de Araújo, John A Naslund, Maurício L Barreto, Vikram Patel, Daiane Borges Machado","doi":"10.1093/ije/dyae153","DOIUrl":"10.1093/ije/dyae153","url":null,"abstract":"<p><strong>Background: </strong>Youth psychiatric hospitalizations have been associated with negative outcomes, including premature death and post-discharge self-harm. Identifying risk factors for youth psychiatric hospitalization is crucial for informing prevention strategies. We aimed to evaluate the risk factors for psychiatric hospitalizations among low-income youth in Brazil.</p><p><strong>Methods: </strong>This cohort study used interpersonal violence and psychiatric hospitalization data linked to the 100 Million Brazilian Cohort baseline. We considered 9 985 917 youths aged 5-24 years who enrolled at the baseline, between 2011 and 2018. We estimated the incidence rate (IR) with 95% confidence interval (CI) for psychiatric hospitalization by calculating the number of hospitalizations per person-year in 100 000 individuals at risk. The multilevel, multivariate Cox proportional hazards regression estimated the hazard risks (HR) with 95% CI for psychiatric hospitalization.</p><p><strong>Results: </strong>The IR of psychiatric hospitalization was 12.28 per 100 000 person-years (95% CI, 11.96-12.6). Interpersonal violence victimization was the main risk factor for youth psychiatric hospitalization (HR, 5.24; 95% CI, 4.61-5.96). Other risk factors for psychiatric hospitalization included living with the oldest family member who had low education (HR, 2.51; 95% CI, 2.16-2.91) or was unemployed (HR, 1.49; 95% CI, 1.36-1.62), living with seven or more family members (HR, 1.84; 95% CI, 1.49-2.26) and being male (HR, 1.28; 95% CI, 1.21-1.36).</p><p><strong>Conclusions: </strong>Urgent action is needed to prevent youth from suffering violence. Addressing this may alleviate the mental health burden in developmental ages, benefiting youth, families and the government through reduced costs in preventable psychiatric hospitalizations.</p>","PeriodicalId":14147,"journal":{"name":"International journal of epidemiology","volume":"53 6","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11578595/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142681623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Also long overdue: consideration of collider bias in guidelines and tools for systematic reviews and meta-analyses of observational studies.","authors":"Judith J M Rijnhart, Ava Rabbers, Santina Rizzuto","doi":"10.1093/ije/dyae147","DOIUrl":"https://doi.org/10.1093/ije/dyae147","url":null,"abstract":"","PeriodicalId":14147,"journal":{"name":"International journal of epidemiology","volume":"53 6","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142575822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cohort Profile: Next Steps-the longitudinal study of people in England born in 1989-90.","authors":"Alison Fang-Wei Wu, Morag Henderson, Matt Brown, Tugba Adali, Richard J Silverwood, Darina Peycheva, Lisa Calderwood","doi":"10.1093/ije/dyae152","DOIUrl":"10.1093/ije/dyae152","url":null,"abstract":"","PeriodicalId":14147,"journal":{"name":"International journal of epidemiology","volume":"53 6","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11561396/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142619938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Rothman diagrams: the geometry of confounding and standardization.","authors":"Eben Kenah","doi":"10.1093/ije/dyae139","DOIUrl":"10.1093/ije/dyae139","url":null,"abstract":"<p><p>We outline a geometric perspective on causal inference in cohort studies that can help epidemiologists understand the role of standardization in controlling for confounding. For simplicity, we focus on a binary exposure X, a binary outcome D, and a binary confounder C that is not causally affected by X. Rothman diagrams plot the risk of disease in the unexposed on the x-axis and the risk in the exposed on the y-axis. The crude risks define a point in the unit square, and the stratum-specific risks at each level of C define two other points in the unit square. Standardization produces points along the line segment connecting the stratum-specific points. When there is confounding by C, the crude point is off this line segment. The set of all possible crude points is a rectangle with corners at the stratum-specific points and sides parallel to the axes. When there are more than two strata, standardization produces points in the convex hull of the stratum-specific points, and there is confounding if the crude point is outside this convex hull. We illustrate these ideas using data from a study in Newcastle, United Kingdom, in which the causal effect of smoking on 20-year mortality was confounded by age.</p>","PeriodicalId":14147,"journal":{"name":"International journal of epidemiology","volume":"53 6","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11565235/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142638937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}