[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-seo-426921-105":3,"detail-sidebar-cat-0-en-105":81,"doc-detail-426921-en":130},{"code":4,"msg":5,"data":6},0,"ok",{"site_id":7,"language":8,"slug":9,"title":10,"keywords":11,"description":12,"schema_data":13,"social_meta":74,"head_meta":76,"extra_data":78,"updated_unix":80},105,"en","childhood-health-condition-midlife-lifestyle-and-later-life-mobility-function-trajectory","CHILDHOOD HEALTH CONDITION, MIDLIFE LIFESTYLE, AND LATER-LIFE MOBILITY FUNCTION TRAJECTORY","","Identifying individuals at risk of mobility decline early enables timely interventions, yet most studies emphasize older age and lower-limb mobility while missing whole-mobility change from middle age onward. This life-course study examines how health-related early-life conditions relate to mobility trajectories in Chinese midlife and older adults, guided by cumulative advantage/disadvantage theory. Using 2011–2018 CHRLS and 2014 LHS data (n=9,576), four trajectory classes were identified, and multinomial results link poorer childhood health and midlife smoking history to declining or fluctuating patterns.",{"@graph":14,"@context":73},[15,34,56],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/research-report/","Research & 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many mobility trajectories were identified in the study, and what were they?","Question",{"text":63,"@type":64},"Four trajectories were identified: High Mobility and Remain Stable, Moderate Mobility and Deteriorate Swiftly, Moderate Mobility and Fluctuate, and Low Mobility and Decline Rapidly.","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"Which early-life and midlife factors were associated with worsening mobility trajectories?",{"text":68,"@type":64},"Poorer childhood health and a history of smoking in midlife were more likely to be associated with declining or fluctuating mobility trajectories.",{"name":70,"@type":61,"acceptedAnswer":71},"What data sources and participant group were used for the analysis?",{"text":72,"@type":64},"The study used data from the 2011–2018 China Health and Retirement Longitudinal Study and the 2014 Life History Survey, including 9,576 participants aged 45+.","https://schema.org",{"og:url":32,"og:type":75,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":77,"canonical":32},"index,follow",{"doc_id":79,"site_id":7},426921,1790793152,{"code":4,"msg":82,"data":83},"success",[84,88,92,96,101,106,111,115,119,122,126],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":85,"show_sort_weight":86,"slug":87},"Story & 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LIFESTYLE, AND LATER-LIFE MOBILITY FUNCTION TRAJECTORY  \nLiu Huanran, Peiyi Lu, and Vivian Lou, The University of Hong Kong, Hong Kong, China (People’s Republic)  \nIdentifying individuals at risk of mobility decline early can enable timely interventions. Most studies focus on older age and lower limb mobility, overlooking overall mobility changes from middle age. Furthermore, the differential impact of early-life conditions on mobility trajectories across subgroups remains underexplored. Guided by cumulative advantage/disadvantage theory, this study examines how health-related early-life conditions is associated with mobility trajectories in Chinese middle-aged and older adults from a life course perspective. Data from the 2011-2018 China Health and Retirement Longitudinal Study and the 2014 Life History Survey included 9,576 participants aged 45+. Mobility was assessed via a 7-item self-reported scale on any difficulty with mobility activities. Latent class trajectory modeling identified four trajectories: “High Mobility and Remain Stable”(50.31%),“Moderate Mobility and Deteriorate Swiftly” (24.96%), “Moderate Mobility and Fluctuate”(15.26%), and “Low Mobility and Decline Rapidly”(9.47%) . Multinomial logistics regression model suggested individuals with poorer childhood health and a history of smoking in midlife were more likely to report declining or fluctuating trajectories. These findings highlight health-related early life conditions that can inform targeted interventions to promote mobility in older age, particularly those in disadvantaged childhood health condition and a history of midlife smoking behavior. Our research advances the cumulative advantage/disadvantage theory by illustrating how early-life conditions and midlife lifestyle factors collectively shape late-life mobility function trajectories from a comprehensive life course perspective.","cbCaieDggn57q9q9","https://ap.wps.com/l/cbCaieDggn57q9q9","pdf",46873,"English","# Study Background\n## Data Sources and Participants\n## Mobility Measurement and Trajectory Modeling\n## Predictors and Statistical Analysis\n## Key Findings and Implications","[{\"question\":\"How many mobility trajectories were identified in the study, and what were they?\",\"answer\":\"Four trajectories were identified: High Mobility and Remain Stable, Moderate Mobility and Deteriorate Swiftly, Moderate Mobility and Fluctuate, and Low Mobility and Decline Rapidly.\"},{\"question\":\"Which early-life and midlife factors were associated with worsening mobility trajectories?\",\"answer\":\"Poorer childhood health and a history of smoking in midlife were more likely to be associated with declining or fluctuating mobility trajectories.\"},{\"question\":\"What data sources and participant group were used for the analysis?\",\"answer\":\"The study used data from the 2011–2018 China Health and Retirement Longitudinal Study and the 2014 Life History Survey, including 9,576 participants aged 45+.\"}]","CHILDHOOD HEALTH CONDITION, MIDLIFE LIFESTYLE, AND LATER-LIFE MOBILITY FUNCTION TRAJECTORY | PDF",1790642199]