Mikel Subiza-Pérez, Teumzghi F Mebrahtu, Kimon Krenz, Aidan Watmuff, Tiffany Yang, Laura Vaughan, John Wright, Rosemary R C McEachan
{"title":"一个有益健康的举动？：分析布拉德福德地区居民的城市暴露轨迹和心理健康状况。","authors":"Mikel Subiza-Pérez, Teumzghi F Mebrahtu, Kimon Krenz, Aidan Watmuff, Tiffany Yang, Laura Vaughan, John Wright, Rosemary R C McEachan","doi":"10.1097/EE9.0000000000000397","DOIUrl":null,"url":null,"abstract":"<p><p>Residential relocation can be leveraged as a natural experiment. This study examined the changes in environmental exposures due to residential relocation in two samples of within-city movers in Bradford (UK); 2089 residents (66% women, mean [SD] age, 47.80 [19.88] years) with preexisting common mental disorders-related prescriptions and 12,699 residents (60% women, mean [SD] age, 42.47 [17.40] years) without the same prescriptions at baseline (January-April 2021). Study data were extracted from National Health Service health records. The outcome was the presence of an active prescription for anxiolytics or antidepressants (yes/no) 1 year after relocation (January-April 2022). Change scores were calculated for several exposures, including the normalized difference vegetation index, distance decay to green spaces, coarse (PM<sub>10</sub>) and fine particulate matter (PM<sub>2.5</sub>), and nitrogen dioxide (NO<sub>2</sub>) at pre- and postmove addresses. Logistic regression models were used for each change score exposure, adjusting for covariates selected using a direct acyclic graph validated against the data. Participants without prescriptions at baseline were likely to relocate to less green and less polluted areas compared with those with preexisting medication. A total of 15% of participants without prescriptions at baseline had an active prescription at follow-up. For these, increases in normalized difference vegetation index were associated with lower odds of having active prescriptions at follow-up [OR (odds ratio) = 0.93 (95% confidence interval [CI] = 0.88, 0.98), <i>P</i> = 0.007], whereas increases in PM<sub>2.5</sub> [OR = 1.1 (95% CI = 1.04, 1.16), <i>P</i> < 0.001] and PM<sub>10</sub> [OR = 1.12 (95% CI = 1.06-1.19), <i>P</i> < 0.001] concentrations were associated with higher odds. Changes in environmental exposures due to residential relocation showed an influence on mental health only for those participants without active prescriptions in the baseline.</p>","PeriodicalId":11713,"journal":{"name":"Environmental Epidemiology","volume":"9 3","pages":"e397"},"PeriodicalIF":3.3000,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12106211/pdf/","citationCount":"0","resultStr":"{\"title\":\"A good move for health?: Analyzing urban exposure trajectories of residential relocation and mental health in populations in Bradford.\",\"authors\":\"Mikel Subiza-Pérez, Teumzghi F Mebrahtu, Kimon Krenz, Aidan Watmuff, Tiffany Yang, Laura Vaughan, John Wright, Rosemary R C McEachan\",\"doi\":\"10.1097/EE9.0000000000000397\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Residential relocation can be leveraged as a natural experiment. This study examined the changes in environmental exposures due to residential relocation in two samples of within-city movers in Bradford (UK); 2089 residents (66% women, mean [SD] age, 47.80 [19.88] years) with preexisting common mental disorders-related prescriptions and 12,699 residents (60% women, mean [SD] age, 42.47 [17.40] years) without the same prescriptions at baseline (January-April 2021). Study data were extracted from National Health Service health records. The outcome was the presence of an active prescription for anxiolytics or antidepressants (yes/no) 1 year after relocation (January-April 2022). Change scores were calculated for several exposures, including the normalized difference vegetation index, distance decay to green spaces, coarse (PM<sub>10</sub>) and fine particulate matter (PM<sub>2.5</sub>), and nitrogen dioxide (NO<sub>2</sub>) at pre- and postmove addresses. Logistic regression models were used for each change score exposure, adjusting for covariates selected using a direct acyclic graph validated against the data. Participants without prescriptions at baseline were likely to relocate to less green and less polluted areas compared with those with preexisting medication. A total of 15% of participants without prescriptions at baseline had an active prescription at follow-up. For these, increases in normalized difference vegetation index were associated with lower odds of having active prescriptions at follow-up [OR (odds ratio) = 0.93 (95% confidence interval [CI] = 0.88, 0.98), <i>P</i> = 0.007], whereas increases in PM<sub>2.5</sub> [OR = 1.1 (95% CI = 1.04, 1.16), <i>P</i> < 0.001] and PM<sub>10</sub> [OR = 1.12 (95% CI = 1.06-1.19), <i>P</i> < 0.001] concentrations were associated with higher odds. Changes in environmental exposures due to residential relocation showed an influence on mental health only for those participants without active prescriptions in the baseline.</p>\",\"PeriodicalId\":11713,\"journal\":{\"name\":\"Environmental Epidemiology\",\"volume\":\"9 3\",\"pages\":\"e397\"},\"PeriodicalIF\":3.3000,\"publicationDate\":\"2025-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12106211/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environmental Epidemiology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1097/EE9.0000000000000397\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/6/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Epidemiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1097/EE9.0000000000000397","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/6/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
摘要
住宅搬迁可以作为一种自然实验。本研究考察了布拉德福德（英国）两个城市内搬家者样本中由于住宅搬迁而导致的环境暴露变化；2089名居民（66%为女性，平均[SD]年龄47.80[19.88]岁）先前有常见精神障碍相关处方，12699名居民（60%为女性，平均[SD]年龄42.47[17.40]岁）在基线时（2021年1月至4月）没有相同的处方。研究数据取自国民健康服务系统的健康记录。结果是搬迁后1年（2022年1月至4月）是否有抗焦虑药或抗抑郁药的有效处方（是/否）。计算了几个暴露点的变化得分，包括归一化植被指数、到绿地的距离衰减、粗颗粒物（PM10）和细颗粒物（PM2.5）以及迁移前后地址的二氧化氮（NO2）。逻辑回归模型用于每个变化分数暴露，调整使用针对数据验证的直接无环图选择的协变量。基线时没有处方的参与者可能会搬迁到绿化较少、污染较少的地区，与那些先前有药物的人相比。在基线时没有处方的参与者中，有15%的人在随访时得到了有效的处方。对于这些，归一化植被指数的增加与随访时服用有效处方的几率较低相关[OR（比值比）= 0.93(95%可信区间[CI] = 0.88, 0.98), P = 0.007]，而PM2.5 [OR = 1.1 (95% CI = 1.04, 1.16), P < 0.001]和PM10 [OR = 1.12 (95% CI = 1.06-1.19), P < 0.001]浓度的增加与较高的几率相关。居住搬迁引起的环境暴露变化仅对基线中没有积极处方的参与者的心理健康有影响。
A good move for health?: Analyzing urban exposure trajectories of residential relocation and mental health in populations in Bradford.
Residential relocation can be leveraged as a natural experiment. This study examined the changes in environmental exposures due to residential relocation in two samples of within-city movers in Bradford (UK); 2089 residents (66% women, mean [SD] age, 47.80 [19.88] years) with preexisting common mental disorders-related prescriptions and 12,699 residents (60% women, mean [SD] age, 42.47 [17.40] years) without the same prescriptions at baseline (January-April 2021). Study data were extracted from National Health Service health records. The outcome was the presence of an active prescription for anxiolytics or antidepressants (yes/no) 1 year after relocation (January-April 2022). Change scores were calculated for several exposures, including the normalized difference vegetation index, distance decay to green spaces, coarse (PM10) and fine particulate matter (PM2.5), and nitrogen dioxide (NO2) at pre- and postmove addresses. Logistic regression models were used for each change score exposure, adjusting for covariates selected using a direct acyclic graph validated against the data. Participants without prescriptions at baseline were likely to relocate to less green and less polluted areas compared with those with preexisting medication. A total of 15% of participants without prescriptions at baseline had an active prescription at follow-up. For these, increases in normalized difference vegetation index were associated with lower odds of having active prescriptions at follow-up [OR (odds ratio) = 0.93 (95% confidence interval [CI] = 0.88, 0.98), P = 0.007], whereas increases in PM2.5 [OR = 1.1 (95% CI = 1.04, 1.16), P < 0.001] and PM10 [OR = 1.12 (95% CI = 1.06-1.19), P < 0.001] concentrations were associated with higher odds. Changes in environmental exposures due to residential relocation showed an influence on mental health only for those participants without active prescriptions in the baseline.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
