D D Méndez, A L Tapia, S A Sanders, A D Casas, M Smalls, E M Davis, S L Rathbun, T L Gary-Webb, L E Burke, S S Omowale, L Adodoadji, J J Gianakas, Y Lai, M N Feghali, M L Wallace
Racial inequities in postpartum weight have been documented with limited studies on the influences of racism and other forms of discrimination. In a prospective longitudinal study applying ecological momentary assessment (EMA) and ambulatory assessment of weight, we measured the association between discrimination, stress and postpartum weight change. The Postpartum Mothers Mobile Study (PMOMS) is a cohort of 313 pregnant and birthing individuals who were followed during their second and third trimester through 1 year postpartum. They were recruited in clinical settings between 2017-2020 in a major city center in Pennsylvania. Measures of racism and gender-based discrimination were collected via random EMA surveys throughout pregnancy and postpartum; and weight was collected via blue-tooth enabled scales at least weekly. Among Black participants, a 10% increase in the number of days a participant experienced racial discrimination in the past month was associated with retaining 0.3 more pounds; 10% increase in EMA gender discrimination was associated with retaining 0.4 more pounds; and EMA stress reported in the past month was associated with decreased weight retention. Chronic experiences of racial and gender discrimination may contribute to weight retention immediately after pregnancy and beyond.
关于产后体重的种族不平等现象已有记录,但关于种族主义和其他形式歧视的影响的研究却很有限。在一项前瞻性纵向研究中,我们采用了生态瞬间评估(EMA)和流动体重评估,测量了歧视、压力和产后体重变化之间的关联。产后母亲移动研究(PMOMS)是一项由 313 名怀孕和分娩者组成的队列研究,对她们从怀孕第二和第三个月到产后一年期间的情况进行了跟踪。他们于 2017-2020 年间在宾夕法尼亚州一个主要城市中心的临床环境中被招募。在整个孕期和产后,通过随机 EMA 调查收集了种族主义和性别歧视的测量数据;至少每周一次通过蓝牙体重秤收集体重。在黑人参与者中,过去一个月遭受种族歧视的天数每增加 10%,体重就会增加 0.3 磅;EMA 性别歧视每增加 10%,体重就会增加 0.4 磅;过去一个月报告的 EMA 压力与体重保持率下降有关。长期的种族和性别歧视经历可能会导致怀孕后的体重潴留。
{"title":"Real-time experiences of racism and stress in association with postpartum weight retention: A longitudinal ecological momentary assessment study.","authors":"D D Méndez, A L Tapia, S A Sanders, A D Casas, M Smalls, E M Davis, S L Rathbun, T L Gary-Webb, L E Burke, S S Omowale, L Adodoadji, J J Gianakas, Y Lai, M N Feghali, M L Wallace","doi":"10.1093/aje/kwae424","DOIUrl":"https://doi.org/10.1093/aje/kwae424","url":null,"abstract":"<p><p>Racial inequities in postpartum weight have been documented with limited studies on the influences of racism and other forms of discrimination. In a prospective longitudinal study applying ecological momentary assessment (EMA) and ambulatory assessment of weight, we measured the association between discrimination, stress and postpartum weight change. The Postpartum Mothers Mobile Study (PMOMS) is a cohort of 313 pregnant and birthing individuals who were followed during their second and third trimester through 1 year postpartum. They were recruited in clinical settings between 2017-2020 in a major city center in Pennsylvania. Measures of racism and gender-based discrimination were collected via random EMA surveys throughout pregnancy and postpartum; and weight was collected via blue-tooth enabled scales at least weekly. Among Black participants, a 10% increase in the number of days a participant experienced racial discrimination in the past month was associated with retaining 0.3 more pounds; 10% increase in EMA gender discrimination was associated with retaining 0.4 more pounds; and EMA stress reported in the past month was associated with decreased weight retention. Chronic experiences of racial and gender discrimination may contribute to weight retention immediately after pregnancy and beyond.</p>","PeriodicalId":7472,"journal":{"name":"American journal of epidemiology","volume":" ","pages":""},"PeriodicalIF":5.0,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142611973","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}
Shruti H Mehta, Bryan M Lau, Stephan Ehrhardt, Allison McFall, Mihili P Gunaratne, Jiban Baishya, Ashwini Kedar, Aylur K Srikrishnan, Julie Evans, Talia Loeb, Amrose Pradeep, M Suresh Kumar, David L Thomas, Gregory M Lucas, Sunil S Solomon
Efforts to eliminate hepatitis C virus (HCV) as a public health problem must include people who inject drugs (PWID). We describe the design and baseline characteristics of the Supporting Treatment Outcomes among PWID (STOP-C) trial which evaluates whether HCV treatment outcomes in PWID can be optimized by tailoring treatment support in 7 PWID-focused integrated HIV/HCV prevention/treatment centers. The design is a 3-arm, individual-level precision-randomized trial. Leveraging empirical data, a prediction model assigned participants as minimal or elevated risk for failure. Minimal risk participants were randomized 1:2:3 to low- (basic services), medium- (patient navigation), and high-intensity (patient navigation + directly observed therapy) support, respectively. Elevated risk participants were randomized 3:2:1 to high, medium, and low-intensity support respectively. All received 12 weeks of oral direct-acting antiviral therapy. The primary outcome is sustained virologic response (SVR) 12 weeks after treatment completion in an intention-to-treat analysis. Three thousand participants were randomized (2048 [68%] minimal risk, 952 [32%] elevated risk of failure). This approach will allow for the estimation of efficacy within treatment failure risk strata while preserving the ability to estimate the average treatment effect and has particular relevance with increasing emphasis of precision medicine in health care delivery.
{"title":"A precision randomized trial to evaluate the impact of tailored hepatitis C treatment adherence support on HCV treatment outcomes among people who inject drugs in India: Design and Baseline Characteristics of the STOP-C Trial.","authors":"Shruti H Mehta, Bryan M Lau, Stephan Ehrhardt, Allison McFall, Mihili P Gunaratne, Jiban Baishya, Ashwini Kedar, Aylur K Srikrishnan, Julie Evans, Talia Loeb, Amrose Pradeep, M Suresh Kumar, David L Thomas, Gregory M Lucas, Sunil S Solomon","doi":"10.1093/aje/kwae430","DOIUrl":"https://doi.org/10.1093/aje/kwae430","url":null,"abstract":"<p><p>Efforts to eliminate hepatitis C virus (HCV) as a public health problem must include people who inject drugs (PWID). We describe the design and baseline characteristics of the Supporting Treatment Outcomes among PWID (STOP-C) trial which evaluates whether HCV treatment outcomes in PWID can be optimized by tailoring treatment support in 7 PWID-focused integrated HIV/HCV prevention/treatment centers. The design is a 3-arm, individual-level precision-randomized trial. Leveraging empirical data, a prediction model assigned participants as minimal or elevated risk for failure. Minimal risk participants were randomized 1:2:3 to low- (basic services), medium- (patient navigation), and high-intensity (patient navigation + directly observed therapy) support, respectively. Elevated risk participants were randomized 3:2:1 to high, medium, and low-intensity support respectively. All received 12 weeks of oral direct-acting antiviral therapy. The primary outcome is sustained virologic response (SVR) 12 weeks after treatment completion in an intention-to-treat analysis. Three thousand participants were randomized (2048 [68%] minimal risk, 952 [32%] elevated risk of failure). This approach will allow for the estimation of efficacy within treatment failure risk strata while preserving the ability to estimate the average treatment effect and has particular relevance with increasing emphasis of precision medicine in health care delivery.</p>","PeriodicalId":7472,"journal":{"name":"American journal of epidemiology","volume":" ","pages":""},"PeriodicalIF":5.0,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142685808","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}
Sylvester Dodzi Nyadanu, Gizachew A Tessema, Ben Mullins, Antonio Gasparrini, Gavin Pereira
A few studies investigated critical periods of temperature and the risks of stillbirth and preterm birth. This study aimed to identify critical periods of composite biothermal stress (Universal Thermal Climate Index, UTCI) for stillbirth and spontaneous preterm birth (sPTB). From the Midwives Notification System, 415,271 singleton births between 1st January 2000 and 31st December 2015 were linked to spatiotemporal UTCI in Western Australia. Covariate-adjusted weekly and monthly distributed lag non-linear Cox regression from twelve weeks before conception to birth were performed. Relative to median exposure (14.2 °C), extreme UTCI levels (1st-10th and 90th-99th centiles) were associated with higher hazards of stillbirth and sPTB, especially stronger at lower than higher exposures. Critical susceptible periods at 1st centile (10.2°C) exposure were found during gestational weeks 21-42 with the strongest hazard of 1.14 (95% CI 1.03, 1.27) in the 42nd week for stillbirth and during gestational weeks 26-36 with the strongest hazard of 1.09 (95% CI 1.06, 1.12) in the 36th week for sPTB. Monthly exposure showed a similar pattern but with greater magnitude. Mid to late gestation showed critical susceptible periods of biothermal stress on the birth outcomes, suggesting further studies and timely climate-related healthcare interventions.
{"title":"Identifying critical periods of susceptibility for maternal exposure to biothermal stress and the risks of stillbirth and spontaneous preterm birth in Western Australia.","authors":"Sylvester Dodzi Nyadanu, Gizachew A Tessema, Ben Mullins, Antonio Gasparrini, Gavin Pereira","doi":"10.1093/aje/kwae431","DOIUrl":"https://doi.org/10.1093/aje/kwae431","url":null,"abstract":"<p><p>A few studies investigated critical periods of temperature and the risks of stillbirth and preterm birth. This study aimed to identify critical periods of composite biothermal stress (Universal Thermal Climate Index, UTCI) for stillbirth and spontaneous preterm birth (sPTB). From the Midwives Notification System, 415,271 singleton births between 1st January 2000 and 31st December 2015 were linked to spatiotemporal UTCI in Western Australia. Covariate-adjusted weekly and monthly distributed lag non-linear Cox regression from twelve weeks before conception to birth were performed. Relative to median exposure (14.2 °C), extreme UTCI levels (1st-10th and 90th-99th centiles) were associated with higher hazards of stillbirth and sPTB, especially stronger at lower than higher exposures. Critical susceptible periods at 1st centile (10.2°C) exposure were found during gestational weeks 21-42 with the strongest hazard of 1.14 (95% CI 1.03, 1.27) in the 42nd week for stillbirth and during gestational weeks 26-36 with the strongest hazard of 1.09 (95% CI 1.06, 1.12) in the 36th week for sPTB. Monthly exposure showed a similar pattern but with greater magnitude. Mid to late gestation showed critical susceptible periods of biothermal stress on the birth outcomes, suggesting further studies and timely climate-related healthcare interventions.</p>","PeriodicalId":7472,"journal":{"name":"American journal of epidemiology","volume":" ","pages":""},"PeriodicalIF":5.0,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142611966","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":"Local average treatment effects with binary outcomes.","authors":"Stuart G Baker, Karen S Lindeman","doi":"10.1093/aje/kwae428","DOIUrl":"https://doi.org/10.1093/aje/kwae428","url":null,"abstract":"","PeriodicalId":7472,"journal":{"name":"American journal of epidemiology","volume":" ","pages":""},"PeriodicalIF":5.0,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142611969","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":"Disparities in cervical cancer screening rates and electronic health record completeness among All of Us Research Program participants.","authors":"Samantha Tesfaye, Amy R Price, Tamara R Litwin","doi":"10.1093/aje/kwae427","DOIUrl":"https://doi.org/10.1093/aje/kwae427","url":null,"abstract":"","PeriodicalId":7472,"journal":{"name":"American journal of epidemiology","volume":" ","pages":""},"PeriodicalIF":5.0,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142611962","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}
Navdep Kaur, Paris B Adkins-Jackson, Victoria Joseph, Mia N Campbell, Katherine M Keyes
The prevalence of depressive symptoms has rapidly accelerated among recent US adolescent birth cohorts, yet there remains little understanding of trends among racialized and minoritized groups. These groups may experience depressive symptoms due to the deleterious effects of structural racism. Using 2005-2020 Monitoring the Future survey data, we examine all racialized groups using within-group analyses to observe trends in high levels of depressive symptoms across cohorts. Generally, across racialized groups and ages, the odds of high depressive symptoms increased in recent birth cohorts. For example, among 15- to 16-year-old students racialized as American Indian or Alaska Native and Black Hispanic/Latine, the 2003-2006 birth cohort had 3.08 (95% CI, 2.00-4.76) and 6.95 (95% CI, 2.70-17.88) times' higher odds, respectively, of high depressive symptoms as compared with the 1987-1990 birth cohorts. Moreover, in a given year, 15- to 16-year-olds generally experienced the highest depressive symptoms compared with 13- to 14-year-olds and 17- to 18-year-olds, suggesting that age effects peaked during midadolescence. Depressive symptoms increased among US adolescents by birth cohort, within all racialized and minoritized groups assessed. Public health efforts to reduce disparities may consider barriers such as structural racism that may impact the mental health of racialized/minoritized adolescents while increasing access to culturally competent mental health providers and school-based services. This article is part of a Special Collection on Mental Health.
{"title":"Assessing trends in internalizing symptoms among racialized and minoritized adolescents: results from the Monitoring the Future Study 2005-2020.","authors":"Navdep Kaur, Paris B Adkins-Jackson, Victoria Joseph, Mia N Campbell, Katherine M Keyes","doi":"10.1093/aje/kwae024","DOIUrl":"10.1093/aje/kwae024","url":null,"abstract":"<p><p>The prevalence of depressive symptoms has rapidly accelerated among recent US adolescent birth cohorts, yet there remains little understanding of trends among racialized and minoritized groups. These groups may experience depressive symptoms due to the deleterious effects of structural racism. Using 2005-2020 Monitoring the Future survey data, we examine all racialized groups using within-group analyses to observe trends in high levels of depressive symptoms across cohorts. Generally, across racialized groups and ages, the odds of high depressive symptoms increased in recent birth cohorts. For example, among 15- to 16-year-old students racialized as American Indian or Alaska Native and Black Hispanic/Latine, the 2003-2006 birth cohort had 3.08 (95% CI, 2.00-4.76) and 6.95 (95% CI, 2.70-17.88) times' higher odds, respectively, of high depressive symptoms as compared with the 1987-1990 birth cohorts. Moreover, in a given year, 15- to 16-year-olds generally experienced the highest depressive symptoms compared with 13- to 14-year-olds and 17- to 18-year-olds, suggesting that age effects peaked during midadolescence. Depressive symptoms increased among US adolescents by birth cohort, within all racialized and minoritized groups assessed. Public health efforts to reduce disparities may consider barriers such as structural racism that may impact the mental health of racialized/minoritized adolescents while increasing access to culturally competent mental health providers and school-based services. This article is part of a Special Collection on Mental Health.</p>","PeriodicalId":7472,"journal":{"name":"American journal of epidemiology","volume":" ","pages":"1519-1529"},"PeriodicalIF":5.0,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140183521","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":"The authors reply.","authors":"Ashley I Naimi, Brian W Whitcomb","doi":"10.1093/aje/kwae097","DOIUrl":"10.1093/aje/kwae097","url":null,"abstract":"","PeriodicalId":7472,"journal":{"name":"American journal of epidemiology","volume":" ","pages":"1643"},"PeriodicalIF":5.0,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141199272","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}
Dalia Stern, Daniel B Ibsen, Conor James MacDonald, Yu-Han Chiu, Martin Lajous, Deirdre K Tobias
A priority of nutrition science is to identify dietary determinants of health and disease to inform effective public health policies, guidelines, and clinical interventions. Yet, conflicting findings in synthesizing evidence from randomized trials and observational studies have contributed to confusion and uncertainty. Often, heterogeneity can be explained by the fact that seemingly similar bodies of evidence are asking very different questions. Improving the alignment within and between research domains begins with investigators clearly defining their diet and disease questions; however, nutritional exposures are complex and often require a greater degree of specificity. First, dietary data are compositional, meaning a change in a food may imply a compensatory change of other foods. Second, dietary data are multidimensional; that is, the primary components (ie, foods) comprise subcomponents (eg, nutrients), and subcomponents can be present in multiple primary components. Third, because diet is a lifelong exposure, the composition of a study population's background diet has implications for the interpretation of the exposure and the transportability of effect estimates. Collectively clarifying these key aspects of inherently complex dietary exposures when conducting research will facilitate appropriate evidence synthesis, improve certainty of evidence, and improve the ability of these efforts to inform policy and decision-making.
{"title":"Improving nutrition science begins with asking better questions.","authors":"Dalia Stern, Daniel B Ibsen, Conor James MacDonald, Yu-Han Chiu, Martin Lajous, Deirdre K Tobias","doi":"10.1093/aje/kwae110","DOIUrl":"10.1093/aje/kwae110","url":null,"abstract":"<p><p>A priority of nutrition science is to identify dietary determinants of health and disease to inform effective public health policies, guidelines, and clinical interventions. Yet, conflicting findings in synthesizing evidence from randomized trials and observational studies have contributed to confusion and uncertainty. Often, heterogeneity can be explained by the fact that seemingly similar bodies of evidence are asking very different questions. Improving the alignment within and between research domains begins with investigators clearly defining their diet and disease questions; however, nutritional exposures are complex and often require a greater degree of specificity. First, dietary data are compositional, meaning a change in a food may imply a compensatory change of other foods. Second, dietary data are multidimensional; that is, the primary components (ie, foods) comprise subcomponents (eg, nutrients), and subcomponents can be present in multiple primary components. Third, because diet is a lifelong exposure, the composition of a study population's background diet has implications for the interpretation of the exposure and the transportability of effect estimates. Collectively clarifying these key aspects of inherently complex dietary exposures when conducting research will facilitate appropriate evidence synthesis, improve certainty of evidence, and improve the ability of these efforts to inform policy and decision-making.</p>","PeriodicalId":7472,"journal":{"name":"American journal of epidemiology","volume":" ","pages":"1507-1510"},"PeriodicalIF":5.0,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141589437","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}
School racial segregation significantly affects racial disparities in US children's health. Recently, school segregation has been increasing, partially due to Supreme Court decisions since 1991 that have made it easier for school districts to be released from court-ordered desegregation. We investigated the association of the end of court-ordered desegregation with child health, using the 1997-2018 waves of the National Health Interview Survey (n = 8182 Black children; n = 16 930 White children). We exploited quasi-random variation in the timing of school districts' releases from court orders to estimate effects on general health, body weight, mental health, and asthma, using difference-in-differences and event-study methods (including traditional and heterogeneity-robust estimators). Heterogeneity-robust difference-in-differences analyses show that release was associated with increased school segregation, improved mental health among Black children, and better self-reported health among White children. For heterogeneity-robust event-study analyses, school segregation increased steadily over time after release, with worse self-reported health and higher risk of asthma episodes among Black children aged 18 years or older after release. Black children's mental health temporarily improved in the short term. In contrast, White children had improved self-reported health, mental health, and risk of asthma episodes in some years. Interventions to address the harms of school segregation are important for reducing racial health inequities.
{"title":"The end of court-ordered desegregation and US children's health: quasi-experimental evidence.","authors":"Guangyi Wang, Justin S White, Rita Hamad","doi":"10.1093/aje/kwae082","DOIUrl":"10.1093/aje/kwae082","url":null,"abstract":"<p><p>School racial segregation significantly affects racial disparities in US children's health. Recently, school segregation has been increasing, partially due to Supreme Court decisions since 1991 that have made it easier for school districts to be released from court-ordered desegregation. We investigated the association of the end of court-ordered desegregation with child health, using the 1997-2018 waves of the National Health Interview Survey (n = 8182 Black children; n = 16 930 White children). We exploited quasi-random variation in the timing of school districts' releases from court orders to estimate effects on general health, body weight, mental health, and asthma, using difference-in-differences and event-study methods (including traditional and heterogeneity-robust estimators). Heterogeneity-robust difference-in-differences analyses show that release was associated with increased school segregation, improved mental health among Black children, and better self-reported health among White children. For heterogeneity-robust event-study analyses, school segregation increased steadily over time after release, with worse self-reported health and higher risk of asthma episodes among Black children aged 18 years or older after release. Black children's mental health temporarily improved in the short term. In contrast, White children had improved self-reported health, mental health, and risk of asthma episodes in some years. Interventions to address the harms of school segregation are important for reducing racial health inequities.</p>","PeriodicalId":7472,"journal":{"name":"American journal of epidemiology","volume":" ","pages":"1530-1540"},"PeriodicalIF":5.0,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141075103","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}
Charlotte Malmberg, Barbro Numan Hellquist, Sajna Anand Sadanandan, Maria Sandström, Wendy Yi-Ying Wu, Benny Björkblom, Beatrice Melin, Rickard L Sjöberg
Whether use of antidepressants is related to the risk of developing lower-grade (WHO grades 2-3) and higher-grade (WHO grade 4) glioma was investigated in this study. A registry-based case-control study was performed with 1283 glioma case patients and 6400 age-, sex-, and geographically matched control participants who were diagnosed in Sweden during 2009-2013. Conditional logistic regression was used to analyze whether selective serotonin reuptake inhibitors (SSRIs) or non-SSRIs were associated with the risk of developing lower- or higher-grade glioma in the study population. Our results show that use of antidepressant medication was not associated with the risk of developing glioma. We also performed a meta-analysis in which the data set from the present study was combined with results from 2 previous epidemiologic studies to answer the same questions. The meta-analysis showed a modest risk reduction of developing glioma in relation to antidepressant treatment (odds ratio = 0.90; 95% CI, 0.83-0.97) when all glioma subgroups and all forms of antidepressant medications were combined. In conclusion, it remains possible that antidepressants may have common monoaminergic mechanism(s) that reduce the risk of developing glioma.
本研究旨在探讨服用抗抑郁药是否与罹患低度(WHO 2-3级)和高度(WHO 4级)胶质瘤的风险有关。研究使用了2009-2013年在瑞典确诊的1283例胶质瘤病例和6400名年龄、性别和地域匹配的对照者,进行了一项基于登记的病例对照研究。研究采用条件逻辑回归分析选择性羟色胺再摄取抑制剂(SSRIs)或非SSRIs是否与研究人群罹患低级别或高级别胶质瘤的风险有关。我们的研究结果表明,服用抗抑郁药物与罹患胶质瘤的风险无关。我们还进行了一项荟萃分析,将本研究的数据集与之前两项流行病学研究的结果结合起来,以回答相同的问题。荟萃分析表明,将所有神经胶质瘤亚组和所有形式的抗抑郁药物合并在一起,患神经胶质瘤的风险与抗抑郁治疗的关系略有降低(OR 0.90 [95% CI 0.83-0.97])。总之,抗抑郁药可能具有降低胶质瘤发病风险的共同单胺类机制。
{"title":"Antidepressant drugs and risk of developing glioma: a national registry-based case-control study and a meta-analysis.","authors":"Charlotte Malmberg, Barbro Numan Hellquist, Sajna Anand Sadanandan, Maria Sandström, Wendy Yi-Ying Wu, Benny Björkblom, Beatrice Melin, Rickard L Sjöberg","doi":"10.1093/aje/kwae100","DOIUrl":"10.1093/aje/kwae100","url":null,"abstract":"<p><p>Whether use of antidepressants is related to the risk of developing lower-grade (WHO grades 2-3) and higher-grade (WHO grade 4) glioma was investigated in this study. A registry-based case-control study was performed with 1283 glioma case patients and 6400 age-, sex-, and geographically matched control participants who were diagnosed in Sweden during 2009-2013. Conditional logistic regression was used to analyze whether selective serotonin reuptake inhibitors (SSRIs) or non-SSRIs were associated with the risk of developing lower- or higher-grade glioma in the study population. Our results show that use of antidepressant medication was not associated with the risk of developing glioma. We also performed a meta-analysis in which the data set from the present study was combined with results from 2 previous epidemiologic studies to answer the same questions. The meta-analysis showed a modest risk reduction of developing glioma in relation to antidepressant treatment (odds ratio = 0.90; 95% CI, 0.83-0.97) when all glioma subgroups and all forms of antidepressant medications were combined. In conclusion, it remains possible that antidepressants may have common monoaminergic mechanism(s) that reduce the risk of developing glioma.</p>","PeriodicalId":7472,"journal":{"name":"American journal of epidemiology","volume":" ","pages":"1592-1599"},"PeriodicalIF":5.0,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11538564/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141199254","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}