» Articles » PMID: 26289232

The Effect of Family and Friend Support on Physical Activity Through Adolescence: a Longitudinal Study

Overview
Publisher Biomed Central
Date 2015 Aug 21
PMID 26289232
Citations 36
Authors
Affiliations
Soon will be listed here.
Abstract

Background: This study examined if family and friend support predicted adolescent physical activity (PA) across a five-year time span.

Methods: The Iowa Bone Development Study collected objective measures of physical activity and self-report of physical activity psychosocial factors at ages 13 (n = 306), 15 (n = 356), and 17 yr (n = 317). Total moderate and vigorous-intensity PA (MVPA) and MVPA after 3 pm on weekdays (MVPA-PM Weekday) were measured using ActiGraph accelerometers. Family Support for PA and Friend Support for PA scales were measured using the Choices questionnaire. Models were adjusted for SES (mother's education) and somatic maturity (Mirwald predictive equations for maturity offset). Spearman correlation coefficients examined tracking of scales at ages 13, 15 and 17. Logistic regression estimated the odds ratio for being in the lowest tertile of each scale at age 17 if in the lowest tertile at age 13. Linear mixed regression models investigated associations between these scales and MVPA outcomes over time.

Results: Two- and five-year intra-variable tracking associations for Family Support and Friend Support scales were moderate (r = 0.32-0.58), except for the comparison between age 13 and age 17 Friend Support for girls, which resulted in a low association (r = 0.26). Boys and girls in the lowest tertile for support at age 13 were more likely to remain in the lowest tertile at age 17 compared to those in the middle and upper tertiles. The regression models indicated that when all other factors were held constant, an increase in family and/or friend support resulted in an increase in both MVPA outcomes

Conclusions: From early to late adolescence, support for PA from the family and/or support from friends results in higher levels of total and discretionary MVPA. However, the importance of support in predicting MVPA decreased with age.

Citing Articles

A study on the impact of sports participation support on the level of sports participation of urban junior high school girls in China.

Dong M, Niu M, Jiang Z, Choi Y, Li N Front Psychol. 2025; 15:1539415.

PMID: 39980880 PMC: 11841449. DOI: 10.3389/fpsyg.2024.1539415.


How family sports behavior shapes adolescent sleep: mediating effects in causation.

Wu W, Xie A, Li X, Xun Y Front Public Health. 2025; 12:1518960.

PMID: 39897176 PMC: 11784610. DOI: 10.3389/fpubh.2024.1518960.


Impact of awareness of sports policies, school, family, and community environmental on physical activity and fitness among children and adolescents: a structural equation modeling study.

Wang J, Wu S, Chen X, Xu B, Wang J, Yang Y BMC Public Health. 2024; 24(1):2298.

PMID: 39256716 PMC: 11389504. DOI: 10.1186/s12889-024-19795-x.


Exploring the barriers and facilitators towards physical activity among church members in Lagos, Nigeria: a qualitative study.

Odukoya O, Odediran O, Rogers C, Ogunsola F, Okuyemi K Afr Health Sci. 2024; 23(2):572-581.

PMID: 38223576 PMC: 10782367. DOI: 10.4314/ahs.v23i2.66.


The mediating role of social support in promoting physical activity among children in South Africa.

Gomwe H, Phiri L, Marange C S Afr J Physiother. 2023; 79(1):1896.

PMID: 37928649 PMC: 10623640. DOI: 10.4102/sajp.v79i1.1896.


References
1.
Dishman R, Motl R, Sallis J, Dunn A, Birnbaum A, Welk G . Self-management strategies mediate self-efficacy and physical activity. Am J Prev Med. 2005; 29(1):10-8. PMC: 2435261. DOI: 10.1016/j.amepre.2005.03.012. View

2.
Arnon S, Shamai S, Ilatov Z . Socialization agents and activities of young adolescents. Adolescence. 2008; 43(170):373-97. View

3.
Trost S, McIver K, Pate R . Conducting accelerometer-based activity assessments in field-based research. Med Sci Sports Exerc. 2005; 37(11 Suppl):S531-43. DOI: 10.1249/01.mss.0000185657.86065.98. View

4.
Cox M, Schofield G, Greasley N, Kolt G . Pedometer steps in primary school-aged children: a comparison of school-based and out-of-school activity. J Sci Med Sport. 2006; 9(1-2):91-7. DOI: 10.1016/j.jsams.2005.11.003. View

5.
Toftager M, Kristensen P, Oliver M, Duncan S, Christiansen L, Boyle E . Accelerometer data reduction in adolescents: effects on sample retention and bias. Int J Behav Nutr Phys Act. 2013; 10:140. PMC: 3880051. DOI: 10.1186/1479-5868-10-140. View