Sophie Baumann, Andreas Staudt, Maria Zeiser, Jennis Freyer-Adam, Diana Guertler, Henriette Markwart, Anne Moehring, Ulrich John
{"title":"四年来共同发生的行为健康风险因素轨迹中的教育不平等:潜在阶级增长分析。","authors":"Sophie Baumann, Andreas Staudt, Maria Zeiser, Jennis Freyer-Adam, Diana Guertler, Henriette Markwart, Anne Moehring, Ulrich John","doi":"10.1186/s12889-025-24663-3","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>This study aimed to identify unobserved subgroups of persons with similar trajectories of co-occurring behavioral health risk factors (BRFs) over 4 years in an adult general population sample and to examine their relation to education.</p><p><strong>Methods: </strong>Data of 831 control group participants of a randomized controlled trial was analyzed. Participants aged 18-64 years who had consumed alcohol in the past 12 months were recruited at a registry office. Alcohol consumption, tobacco smoking, body mass index, and physical inactivity were assessed at baseline via self-report and 1, 3, and 4 years later. Latent class growth analysis was used to identify BRF trajectories and to test their association with school education, adjusted for sex, age, marital status, and self-rated health.</p><p><strong>Results: </strong>Eight BRF trajectory classes were identified, with the largest class (31% of participants) being characterized by stable low-to-moderate alcohol consumption and an otherwise healthy lifestyle. Higher-educated compared to lower-educated participants were more likely in this class than in other classes, including, among others, a class combining stable alcohol consumption, tobacco smoking, and increasing excess weight (Odds ratio, OR = 7.41, p < 0.001) and a class maintaining absence of BRFs over time (OR = 3.89, p < 0.001).</p><p><strong>Conclusions: </strong>This study demonstrates heterogeneity in BRF trajectories and their relation to education. Although higher-educated persons were more likely in classes with fewer BRFs and favorable BRF changes, alcohol consumption remained a common BRF in several of these trajectories. Trajectories of multiple co-occurring BRFs, particularly those involving tobacco smoking and unfavorable BRF changes, seem to disproportionately affect lower-educated persons.</p>","PeriodicalId":9039,"journal":{"name":"BMC Public Health","volume":"25 1","pages":"3291"},"PeriodicalIF":3.6000,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Educational inequalities in trajectories of co-occurring behavioral health risk factors over four years: a latent class growth analysis.\",\"authors\":\"Sophie Baumann, Andreas Staudt, Maria Zeiser, Jennis Freyer-Adam, Diana Guertler, Henriette Markwart, Anne Moehring, Ulrich John\",\"doi\":\"10.1186/s12889-025-24663-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>This study aimed to identify unobserved subgroups of persons with similar trajectories of co-occurring behavioral health risk factors (BRFs) over 4 years in an adult general population sample and to examine their relation to education.</p><p><strong>Methods: </strong>Data of 831 control group participants of a randomized controlled trial was analyzed. Participants aged 18-64 years who had consumed alcohol in the past 12 months were recruited at a registry office. Alcohol consumption, tobacco smoking, body mass index, and physical inactivity were assessed at baseline via self-report and 1, 3, and 4 years later. Latent class growth analysis was used to identify BRF trajectories and to test their association with school education, adjusted for sex, age, marital status, and self-rated health.</p><p><strong>Results: </strong>Eight BRF trajectory classes were identified, with the largest class (31% of participants) being characterized by stable low-to-moderate alcohol consumption and an otherwise healthy lifestyle. Higher-educated compared to lower-educated participants were more likely in this class than in other classes, including, among others, a class combining stable alcohol consumption, tobacco smoking, and increasing excess weight (Odds ratio, OR = 7.41, p < 0.001) and a class maintaining absence of BRFs over time (OR = 3.89, p < 0.001).</p><p><strong>Conclusions: </strong>This study demonstrates heterogeneity in BRF trajectories and their relation to education. Although higher-educated persons were more likely in classes with fewer BRFs and favorable BRF changes, alcohol consumption remained a common BRF in several of these trajectories. Trajectories of multiple co-occurring BRFs, particularly those involving tobacco smoking and unfavorable BRF changes, seem to disproportionately affect lower-educated persons.</p>\",\"PeriodicalId\":9039,\"journal\":{\"name\":\"BMC Public Health\",\"volume\":\"25 1\",\"pages\":\"3291\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2025-10-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BMC Public Health\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s12889-025-24663-3\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Public Health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12889-025-24663-3","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
Educational inequalities in trajectories of co-occurring behavioral health risk factors over four years: a latent class growth analysis.
Background: This study aimed to identify unobserved subgroups of persons with similar trajectories of co-occurring behavioral health risk factors (BRFs) over 4 years in an adult general population sample and to examine their relation to education.
Methods: Data of 831 control group participants of a randomized controlled trial was analyzed. Participants aged 18-64 years who had consumed alcohol in the past 12 months were recruited at a registry office. Alcohol consumption, tobacco smoking, body mass index, and physical inactivity were assessed at baseline via self-report and 1, 3, and 4 years later. Latent class growth analysis was used to identify BRF trajectories and to test their association with school education, adjusted for sex, age, marital status, and self-rated health.
Results: Eight BRF trajectory classes were identified, with the largest class (31% of participants) being characterized by stable low-to-moderate alcohol consumption and an otherwise healthy lifestyle. Higher-educated compared to lower-educated participants were more likely in this class than in other classes, including, among others, a class combining stable alcohol consumption, tobacco smoking, and increasing excess weight (Odds ratio, OR = 7.41, p < 0.001) and a class maintaining absence of BRFs over time (OR = 3.89, p < 0.001).
Conclusions: This study demonstrates heterogeneity in BRF trajectories and their relation to education. Although higher-educated persons were more likely in classes with fewer BRFs and favorable BRF changes, alcohol consumption remained a common BRF in several of these trajectories. Trajectories of multiple co-occurring BRFs, particularly those involving tobacco smoking and unfavorable BRF changes, seem to disproportionately affect lower-educated persons.
期刊介绍:
BMC Public Health is an open access, peer-reviewed journal that considers articles on the epidemiology of disease and the understanding of all aspects of public health. The journal has a special focus on the social determinants of health, the environmental, behavioral, and occupational correlates of health and disease, and the impact of health policies, practices and interventions on the community.