Longitudinal physical activity trajectories from childhood to adulthood and their determinants: The Young Finns Study

被引:56
作者
Rovio, S. P. [1 ,2 ]
Yang, X. [2 ]
Kankaanpaa, A. [2 ]
Aalto, V. [1 ]
Hirvensalo, M. [3 ]
Telama, R. [2 ,3 ]
Pahkala, K. [1 ,4 ]
Hutri-Kahonen, N. [5 ,6 ]
Viikari, J. S. A. [7 ,8 ]
Raitakari, O. T. [1 ,9 ]
Tammelin, T. H. [2 ]
机构
[1] Univ Turku, Res Ctr Appl & Prevent Cardiovasc Med, Turku, Finland
[2] LIKES Res Ctr Phys Act & Hlth, Jyvaskyla, Finland
[3] Univ Jyvaskyla, Fac Sport & Hlth Sci, Jyvaskyla, Finland
[4] Univ Turku, Paavo Nurmi Ctr, Sports & Exercise Med Unit, Dept Hlth & Phys Act, Turku, Finland
[5] Univ Tampere, Dept Pediat, Tampere, Finland
[6] Tampere Univ Hosp, Tampere, Finland
[7] Univ Turku, Dept Med, Turku, Finland
[8] Turku Univ Hosp, Div Med, Turku, Finland
[9] Turku Univ Hosp, Dept Clin Physiol & Nucl Med, Turku, Finland
基金
芬兰科学院;
关键词
behavior; latent class growth modeling; longitudinal; physical activity; population-based; trajectories; CARDIOVASCULAR RISK; ACTIVITY PATTERNS; BEHAVIORS; TRACKING; CHILDREN; AGE; PARTICIPATION; ADOLESCENTS; PREDICTORS; INACTIVITY;
D O I
10.1111/sms.12988
中图分类号
G8 [体育];
学科分类号
04 ; 0403 ;
摘要
Determining lifelong physical activity (PA) trajectories and their determinants is essential to promote a physically active lifestyle throughout the life-course. We aimed to identify PA trajectories from childhood to midlife and their determinants in a longitudinal population-based cohort. This study is a part of the Cardiovascular Risk in Young Finns Study. From 1980, a population-based cohort (N=3596; 1764 boys/1832 girls, age 3-18years) has been followed up for 31years. PA indices were formed based on self-reported data (between age 9-49years) on frequency, duration, and intensity of leisure (during childhood) or high-intensity (at later age) PA and on sports club participation/competitions. PA trajectories were analyzed using group-based trajectory modeling. Childhood (age 12years), young adulthood (age 24years), and early midlife (age 37years) determinants were analyzed. Five PA trajectories were identified: persistently active (6.6%), decreasingly active (13.9%), increasingly active (13.5%), persistently low active (51.4%, reference group), persistently inactive (14.6%). In childhood, rural residential area (OR 0.45, 95% CI 0.21-0.96) and high academic performance (OR 2.18; 95% CI 1.58-3.00) associated with persistently active group. In early midlife, smoking (OR 1.66; 95% CI 1.07-2.58) associated with persistently inactive group, regular alcohol drinking (OR 2.91; 95% CI 1.12-7.55) with persistently active group and having children (OR 2.07; 95% CI 1.27-3.38) with decreasingly active group. High adulthood education associated with both decreasingly (OR 1.87; 95% CI 1.05-3.35) and increasingly (OR 2.09; 95% CI 1.19-3.68) active groups. We identified five PA trajectories from childhood into midlife. Most prominent determinants were academic achievement, education, having children and health habits (i.e. smoking/alcohol use).
引用
收藏
页码:1073 / 1083
页数:11
相关论文
共 45 条
[1]   Life-change events and participation in physical activity: a systematic review [J].
Allender, Steven ;
Hutchinson, Lauren ;
Foster, Charles .
HEALTH PROMOTION INTERNATIONAL, 2008, 23 (02) :160-172
[2]  
Anderson-Cook C., 2006, GROUP BASED MODELING, V101, P405, DOI DOI 10.4159/9780674041318
[3]  
[Anonymous], 2005, Journal of Physical Activity Health, DOI 10.1123/jpah.2.4.423
[4]   Trajectories of Unhealthy Behaviors in Midlife and Risk of Disability at Older Ages in the Whitehall II Cohort Study [J].
Artaud, Fanny ;
Sabia, Severine ;
Dugravot, Aline ;
Kivimaki, Mika ;
Singh-Manoux, Archana ;
Elbaz, Alexis .
JOURNALS OF GERONTOLOGY SERIES A-BIOLOGICAL SCIENCES AND MEDICAL SCIENCES, 2016, 71 (11) :1500-1506
[5]   Longitudinal Variation in Adolescent Physical Activity Patterns and the Emergence of Tobacco Use [J].
Audrain-McGovern, Janet ;
Rodriguez, Daniel ;
Rodgers, Kelli ;
Cuevas, Jocelyn ;
Sass, Joseph .
JOURNAL OF PEDIATRIC PSYCHOLOGY, 2012, 37 (06) :622-633
[6]   Distinct trajectories of leisure time physical activity and predictors of trajectory class membership: a 22 year cohort study [J].
Barnett, Tracie A. ;
Gauvin, Lise ;
Craig, Cora L. ;
Katzmarzyk, Peter T. .
INTERNATIONAL JOURNAL OF BEHAVIORAL NUTRITION AND PHYSICAL ACTIVITY, 2008, 5 (1)
[7]   Correlates of physical activity: why are some people physically active and others not? [J].
Bauman, Adrian E. ;
Reis, Rodrigo S. ;
Sallis, James F. ;
Wells, Jonathan C. ;
Loos, Ruth J. F. ;
Martin, Brian W. .
LANCET, 2012, 380 (9838) :258-271
[8]   Establishing a standard definition for child overweight and obesity worldwide: international survey [J].
Cole, TJ ;
Bellizzi, MC ;
Flegal, KM ;
Dietz, WH .
BMJ-BRITISH MEDICAL JOURNAL, 2000, 320 (7244) :1240-1243
[9]   Determinants of Change in Physical Activity in Children and Adolescents A Systematic Review [J].
Craggs, Christopher ;
Corder, Kirsten ;
van Sluijs, Esther M. F. ;
Griffin, Simon J. .
AMERICAN JOURNAL OF PREVENTIVE MEDICINE, 2011, 40 (06) :645-658
[10]   Physical activity change during adolescence: a systematic review and a pooled analysis [J].
Dumith, Samuel C. ;
Gigante, Denise P. ;
Domingues, Marlos R. ;
Kohl, Harold W., III .
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2011, 40 (03) :685-698