International journal of epidemiology最新文献

{"title":"Associations of fetal and postnatal growth trajectories with child cognition: the GUSTO cohort study.","authors":"Yi Ying Ong, Nicholas Beng Hui Ng, Navin Michael, Shirong Cai, Mya Thway Tint, Delicia Shu Qin Ooi, Ai Peng Tan, Kok Hian Tan, Lynette Shek, Fabian Yap, Yap Seng Chong, Johan Gunnar Eriksson, Shiao-Yng Chan, Birit F P Broekman, Keith M Godfrey, Patricia Pelufo Silveira, Henning Tiemeier, Evelyn C Law, Izzuddin M Aris, Yung Seng Lee","doi":"10.1093/ije/dyaf012","DOIUrl":"10.1093/ije/dyaf012","url":null,"abstract":"<p><strong>Background: </strong>Using longitudinal ultrasounds as an improved fetal growth marker, we aimed to investigate if increased postnatal growth following fetal abdominal circumference (AC) growth deceleration is associated with improved child cognition.</p><p><strong>Methods: </strong>Among 797 term-born singletons in the Growing Up in Singapore Towards healthy Outcomes (GUSTO) cohort, we derived 2nd-3rd trimester fetal AC growth z-score, fetal AC growth deceleration, standardized height, weight, and body mass index (BMI) growth at early infancy (0-4 months), late infancy (4-15 months), toddlerhood (15-37 months), and early childhood (3-7 years), and investigated their associations with intelligence quotient (IQ) at ages 4.5 years (verbal, non-verbal) and 7 years (non-verbal-block design, matrix reasoning), adjusting for socio-demographic and biological confounders.</p><p><strong>Results: </strong>Among term-born newborns, 23.3% experienced fetal AC growth deceleration, which was associated with lower non-verbal IQ (4.5 years) [β (95% CI), -4.00 (-7.49, -0.51)]. Higher 0-7 years z-BMI gain was associated with lower non-verbal IQ (block design) (7 years) [-1.33 (-2.51, -0.14)]. Higher late infancy z-BMI gain was associated with higher verbal IQ (4.5 years) [3.36 (0.82,5.90)] but lower non-verbal IQ (matrix reasoning) (7 years) [-2.32 (-4.48, -0.17)]. Among those with fetal AC growth deceleration, higher 0-7 years z-weight gain was associated with lower non-verbal IQ (block design) (7 years) (P-interaction = .049); at z-weight gain of +2 standard deviation score (SDS), those with fetal AC growth deceleration had lower IQ [margins (95% CI), -2.6 (-7.1,1.9)]. On average, children with fetal AC growth deceleration caught up in z-height, z-weight, and z-BMI by 7 years.</p><p><strong>Conclusion: </strong>Fetal AC growth deceleration was associated with lower cognition scores at preschool age. Increased weight or BMI growth from 0-7 years following fetal AC growth deceleration might not be favorable to cognition among generally well-nourished term-born children.</p>","PeriodicalId":14147,"journal":{"name":"International journal of epidemiology","volume":"54 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11825177/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143414170","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":"Cohort Profile Update: The Harmonised Cognitive Assessment Protocol Sub-study of The Irish Longitudinal Study on Ageing (TILDA-HCAP).","authors":"Joanne Feeney, Ann Monaghan, Sinead McLoughlin, Céline De Looze, Gabriela Oto, Brian Lawlor, David R Weir, Rose Anne Kenny, Christine A McGarrigle","doi":"10.1093/ije/dyaf008","DOIUrl":"10.1093/ije/dyaf008","url":null,"abstract":"","PeriodicalId":14147,"journal":{"name":"International journal of epidemiology","volume":"54 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11821264/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143407511","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":"Estimating the effect of pre-exposure prophylaxis in Black men who have sex with men.","authors":"Allison Meisner, Fan Xia, Kwun C G Chan, Kenneth Mayer, Darrell Wheeler, Sahar Zangeneh, Deborah Donnell","doi":"10.1093/ije/dyae170","DOIUrl":"10.1093/ije/dyae170","url":null,"abstract":"<p><strong>Background: </strong>Black men who have sex with men (MSM) are disproportionately burdened by the HIV epidemic in the USA. The effectiveness of pre-exposure prophylaxis (PrEP) in preventing HIV infection has been demonstrated through randomized placebo-controlled clinical trials in several populations. Importantly, no such trial has been conducted exclusively among Black MSM in the USA, and it would be unethical and infeasible to do so now.</p><p><strong>Methods: </strong>To estimate the causal effects of PrEP access, initiation, and adherence on HIV risk, we utilized causal inference methods to combine data from two non-randomized studies that exclusively enrolled Black MSM.</p><p><strong>Results: </strong>The estimated relative risks of HIV were: (i) 0.52 (95% confidence interval: 0.21, 1.22) for individuals with versus without PrEP access, (ii) 0.48 (0.12, 0.89) for individuals who initiated PrEP but were not adherent versus those who did not initiate, and (iii) 0.23 (0.02, 0.80) for individuals who were adherent to PrEP versus those who did not initiate.</p><p><strong>Conclusion: </strong>Beyond addressing the knowledge gap around the effect of PrEP in Black MSM in the USA, which may have ramifications for public health, we have provided a framework to combine data from multiple non-randomized studies to estimate causal effects, which has broad utility.</p>","PeriodicalId":14147,"journal":{"name":"International journal of epidemiology","volume":"54 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11802470/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143364671","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":"Confounding effects of socioeconomic status on the association between long-term PM2.5 exposure and mortality in Korea.","authors":"Hyungryul Lim, Jonghyuk Choi, Sanghyuk Bae, Kyung-Hwa Choi, Xue Han, Mina Ha, Jong-Hun Kim, Soontae Kim, Ho-Jang Kwon","doi":"10.1093/ije/dyaf001","DOIUrl":"https://doi.org/10.1093/ije/dyaf001","url":null,"abstract":"<p><strong>Background: </strong>This study assesses the national distribution of ambient fine particulate matter (PM2.5) exposure across socioeconomic status (SES) and its confounding on long-term PM2.5 mortality in Korea, aiming to minimize SES influence.</p><p><strong>Methods: </strong>A nationwide cohort of 5% of Koreans, aged 30 or older, from 2007 to 2019, from the National Health Information Database, was analysed. PM2.5 exposure levels were estimated at the city level using the Community Multiscale Air Quality system. Mortality data were obtained from Statistics Korea. The study examined annual PM2.5 exposure by SES indicators and its confounding on mortality risks associated with PM2.5, using time-varying Cox proportional hazards models.</p><p><strong>Results: </strong>The study followed 1 453 036 individuals from 2007 to 2019, totalling 17 760 227 person-years (PYs). The non-accidental (A00-R99), cardiovascular (I00-I99) and respiratory (J00-J99) mortality rates per 1000 PY were 7.6, 1.9 and 0.8, respectively. We observed a trend of decreasing PM2.5 exposure levels but increased mortality among medical aid beneficiaries, those with lower household incomes and those residing in neighbourhoods with a higher area deprivation index. When adjusting for these SES covariates, the long-term mortality effects of PM2.5 shifted in the direction of increased risk [hazard ratio (HR) for cardiovascular mortality in the unadjusted model = 0.968 (95% CI: 0.909-0.959); HR in the fully adjusted model = 1.053 (95% CI: 1.004-1.105)].</p><p><strong>Conclusion: </strong>In regions where SES and PM2.5 concentrations are positively correlated, as in Korea, it is crucial to rigorously control for SES confounding to avoid underestimating the mortality effects associated with PM2.5.</p>","PeriodicalId":14147,"journal":{"name":"International journal of epidemiology","volume":"54 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143065485","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 Performance Monitoring for Action (PMA) panel surveys.","authors":"Aisha Siewe, Meagan E Byrne, Dana Sarnak, Saifuddin Ahmed, Scott Radloff, Win Brown, Linnea A Zimmerman, Amy Tsui, Yoonjoung Choi, Elizabeth Gummerson, Caroline Moreau, Carolina Cardona, Shannon Wood, Celia Karp, Suzanne O Bell, Georges Guiella, Rosine Mosso, Fassassi Raïmi, Pierre Akilimali, Anoop Khanna, Peter Gichangi, Mary Thiongo, Souleymane Alzouma, Sani Oumarou, Elizabeth Omoluabi, Funmilola M OlaOlorun, Musa Sani Zakirai, Frederick Makumbi, Simon Peter Sebina Kibira, Philip Anglewicz","doi":"10.1093/ije/dyae180","DOIUrl":"10.1093/ije/dyae180","url":null,"abstract":"","PeriodicalId":14147,"journal":{"name":"International journal of epidemiology","volume":"54 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11700520/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142931705","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":"From colonization to causation: the links between Group B Streptococcus colonization, invasive disease, and preterm birth.","authors":"Bronner P Gonçalves, Malene R Lykke, Clare Cutland, Erzsébet Horváth-Puhó, Merijn W Bijlsma, Simon R Procter","doi":"10.1093/ije/dyaf002","DOIUrl":"https://doi.org/10.1093/ije/dyaf002","url":null,"abstract":"","PeriodicalId":14147,"journal":{"name":"International journal of epidemiology","volume":"54 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143189131","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":"Data Resource Profile: Harmonized health survey data for 240 cities across 11 countries in Latin America: the SALURBAL project.","authors":"Kari Moore, Mariana Lazo, Ana Ortigoza, D Alex Quistberg, Brisa Sanchez, Binod Acharya, Tania Alfaro, Maria Fernanda Kroker-Lobos, Mariana Carvalho De Menezes, Olga Lucia Sarmiento, Amanda C de Souza Andrade, Carolina Perez Ferrer, Akram Hernandez Vasquez, Waleska Teixeira Caiaffa, Ana V Diez Roux","doi":"10.1093/ije/dyae171","DOIUrl":"10.1093/ije/dyae171","url":null,"abstract":"","PeriodicalId":14147,"journal":{"name":"International journal of epidemiology","volume":"54 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11703366/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142948355","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":"Cohort Profile: The Hunan Cohort of residents exposed to heavy metals.","authors":"Zhijun Huang, Minxue Shen, Dan Luo, Xiaoyan Huang, Zhihao Shu, Yao Lu, Jingjing Quan, Yanying Duan, Yi Xiao, Shuiyuan Xiao, Meian He, Yirui Zhang, Guangqin Fan, Tangchun Wu, Hong Yuan, Xiang Chen","doi":"10.1093/ije/dyae148","DOIUrl":"https://doi.org/10.1093/ije/dyae148","url":null,"abstract":"","PeriodicalId":14147,"journal":{"name":"International journal of epidemiology","volume":"54 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142846418","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 Update: Birbhum Health and Demographic Surveillance System, India.","authors":"Rajesh Kumar Rai, Anamitra Barik, Sabri Bromage, Gopal Krishna Dhali, Abhijit Chowdhury","doi":"10.1093/ije/dyae172","DOIUrl":"https://doi.org/10.1093/ije/dyae172","url":null,"abstract":"","PeriodicalId":14147,"journal":{"name":"International journal of epidemiology","volume":"54 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142871225","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":"Quantifying years of life lost in Australia: a multiple cause of death analysis.","authors":"Grace Joshy, Karen Bishop, Hang Li, Lauren Moran, Michelle Gourley, Jennifer Welsh, Rosemary Korda, Emily Banks, Tim Adair, Chalapati Rao","doi":"10.1093/ije/dyae177","DOIUrl":"10.1093/ije/dyae177","url":null,"abstract":"<p><strong>Background: </strong>Deaths in Australia and other high-income countries increasingly involve multiple conditions. However, key burden of disease measures typically only use the underlying cause of death (UC). We quantified sex and cause-specific years of life lost (YLL) based on UC compared with a method integrating multiple causes of death.</p><p><strong>Methods: </strong>Causes of death for all deaths in Australia (2015-17), mapped to 136 groups based on International Classification of Diseases 10th revision (ICD-10), were ascribed using (1) the UC only and (2) a multiple cause weighting (WT) strategy. Applying the Global Burden of Disease 2010 life table, YLLUC and YLLWT rates were calculated for each sex and cause of death and compared using relative and absolute measures.</p><p><strong>Results: </strong>All-cause YLL rates were 113.4/1000 for males and 79.9/1000 for females. Cancers, cardiovascular diseases, external causes, respiratory diseases and nervous system diseases were the five biggest contributors to YLL for each method. For the top 20 causes combined, YLLWT rates were 10% lower for males (YLLWT = 74.93/1000 vs YLLUC = 67.38/1000) and 7% lower for females (YLLWT = 51.34/1000; YLLUC = 47.90/1000); YLLWT rates were lower for ischaemic heart disease and all cancers, but higher for diabetes and dementia, and for chronic obstructive pulmonary disease in males. With multiple cause weighting, renal failure emerged among the top 20 causes of YLL, as did atrial fibrillation and hypertension among females. YLLWT rates for substance abuse, mood disorders, hypertension and schizophrenia were relatively high compared with YLLUC.</p><p><strong>Conclusion: </strong>The YLLWT metric highlights epidemiologically important conditions that are less often selected as the UC.</p>","PeriodicalId":14147,"journal":{"name":"International journal of epidemiology","volume":"54 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11769717/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143046468","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}