{"title":"在北美性/性别多样化的成年人中增加体力活动:一种社会生态学方法。","authors":"Keegan T Peterson, Melissa Bopp","doi":"10.1123/jpah.2025-0138","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Sexual and/or gender diverse (nonheterosexual, non-cisgender; SGD) adults continue to report high rates of chronic condition incidence and prevalence, and reduced rates of physical activity (PA). However, interventions tailored to SGD individuals remain limited. This study sought to determine the effect of each level of socioecological model (SEM), (eg, individual, social, community/institution, environment) associated with meeting PA guidelines to inform intervention approaches.</p><p><strong>Methods: </strong>Participants across North America (N = 300, non-Hispanic White [69.7%], cis-gendered women [40.7%], queer [38.3%], 18-34 y old [70.7%]) self-reported their current PA levels and PA correlates at each level of the SEM using multiple validated survey instruments via an online, anonymous survey. SEM level-specific survey instruments were combined to create a composite score for analyses. A hierarchical logistic regression was used to predict likelihood of meeting PA guidelines with each additional step adding a level of the SEM. Race/ethnicity, gender identity, sexual orientation, and income served as confounders.</p><p><strong>Results: </strong>Each step in the model was significant; the level-specific correlates were significant predictors of meeting PA guidelines. In the final model (χ2[16] = 74.13, P < .001, R2 = .303), and across each model, general (B = 0.148, P < .001, odds ratio = 1.16) correlates at the individual level were significant predictors of higher odds of meeting PA guidelines.</p><p><strong>Conclusion: </strong>Tailored PA interventions should emphasize individual correlates of PA, in tandem with other SEM levels of influence to promote effective behavior change. Without intervention, SGD individuals may continue to experience chronic conditions at a higher rate compared with their peers.</p>","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"1-8"},"PeriodicalIF":2.6000,"publicationDate":"2025-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Increasing Physical Activity Among North American Sexual/Gender Diverse Adults: A Socioecological Approach.\",\"authors\":\"Keegan T Peterson, Melissa Bopp\",\"doi\":\"10.1123/jpah.2025-0138\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Sexual and/or gender diverse (nonheterosexual, non-cisgender; SGD) adults continue to report high rates of chronic condition incidence and prevalence, and reduced rates of physical activity (PA). However, interventions tailored to SGD individuals remain limited. This study sought to determine the effect of each level of socioecological model (SEM), (eg, individual, social, community/institution, environment) associated with meeting PA guidelines to inform intervention approaches.</p><p><strong>Methods: </strong>Participants across North America (N = 300, non-Hispanic White [69.7%], cis-gendered women [40.7%], queer [38.3%], 18-34 y old [70.7%]) self-reported their current PA levels and PA correlates at each level of the SEM using multiple validated survey instruments via an online, anonymous survey. SEM level-specific survey instruments were combined to create a composite score for analyses. A hierarchical logistic regression was used to predict likelihood of meeting PA guidelines with each additional step adding a level of the SEM. Race/ethnicity, gender identity, sexual orientation, and income served as confounders.</p><p><strong>Results: </strong>Each step in the model was significant; the level-specific correlates were significant predictors of meeting PA guidelines. In the final model (χ2[16] = 74.13, P < .001, R2 = .303), and across each model, general (B = 0.148, P < .001, odds ratio = 1.16) correlates at the individual level were significant predictors of higher odds of meeting PA guidelines.</p><p><strong>Conclusion: </strong>Tailored PA interventions should emphasize individual correlates of PA, in tandem with other SEM levels of influence to promote effective behavior change. 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引用次数: 0
摘要
背景:性和/或性别多样化(非异性恋,非顺性;SGD成年人继续报告慢性病发病率和患病率高,身体活动(PA)率降低。然而,针对SGD个体的干预措施仍然有限。本研究旨在确定社会生态模型(SEM)的每个层面(例如,个人、社会、社区/机构、环境)与满足PA指南相关的影响,以告知干预方法。方法:来自北美的参与者(N = 300,非西班牙裔白人[69.7%],顺性女性[40.7%],酷儿[38.3%],18-34岁[70.7%])通过在线匿名调查,使用多种有效的调查工具,自我报告他们目前的PA水平和PA在每个SEM水平上的相关性。SEM水平特定的调查工具相结合,以创建一个综合得分进行分析。使用分层逻辑回归来预测满足PA指南的可能性,每增加一步增加一个SEM水平。种族/民族、性别认同、性取向和收入是混杂因素。结果:模型各步骤均显著;水平特异性相关因素是满足PA指南的重要预测因素。在最终模型中(χ2[16] = 74.13, P < 0.001, R2 = 0.303),在每个模型中,个体水平上的一般相关性(B = 0.148, P < 0.001,比值比= 1.16)是符合PA指南的较高几率的显著预测因子。结论:量身定制的PA干预应强调PA的个体相关性,并与其他SEM水平的影响相结合,以促进有效的行为改变。如果不进行干预,与同龄人相比,SGD个体可能会继续以更高的比率经历慢性疾病。
Increasing Physical Activity Among North American Sexual/Gender Diverse Adults: A Socioecological Approach.
Background: Sexual and/or gender diverse (nonheterosexual, non-cisgender; SGD) adults continue to report high rates of chronic condition incidence and prevalence, and reduced rates of physical activity (PA). However, interventions tailored to SGD individuals remain limited. This study sought to determine the effect of each level of socioecological model (SEM), (eg, individual, social, community/institution, environment) associated with meeting PA guidelines to inform intervention approaches.
Methods: Participants across North America (N = 300, non-Hispanic White [69.7%], cis-gendered women [40.7%], queer [38.3%], 18-34 y old [70.7%]) self-reported their current PA levels and PA correlates at each level of the SEM using multiple validated survey instruments via an online, anonymous survey. SEM level-specific survey instruments were combined to create a composite score for analyses. A hierarchical logistic regression was used to predict likelihood of meeting PA guidelines with each additional step adding a level of the SEM. Race/ethnicity, gender identity, sexual orientation, and income served as confounders.
Results: Each step in the model was significant; the level-specific correlates were significant predictors of meeting PA guidelines. In the final model (χ2[16] = 74.13, P < .001, R2 = .303), and across each model, general (B = 0.148, P < .001, odds ratio = 1.16) correlates at the individual level were significant predictors of higher odds of meeting PA guidelines.
Conclusion: Tailored PA interventions should emphasize individual correlates of PA, in tandem with other SEM levels of influence to promote effective behavior change. Without intervention, SGD individuals may continue to experience chronic conditions at a higher rate compared with their peers.
期刊介绍:
The Journal of Physical Activity and Health (JPAH) publishes original research and review papers examining the relationship between physical activity and health, studying physical activity as an exposure as well as an outcome. As an exposure, the journal publishes articles examining how physical activity influences all aspects of health. As an outcome, the journal invites papers that examine the behavioral, community, and environmental interventions that may affect physical activity on an individual and/or population basis. The JPAH is an interdisciplinary journal published for researchers in fields of chronic disease.