Self-efficacy, Beliefs, and Goals: Moderation of Declining Physical Activity During Adolescence

Overview

Journal Health Psychol

Specialty Public Health

Date 2019 Apr 12

PMID 30973746

Citations 21

Authors

Rod K Dishman

Kerry L McIver

Marsha Dowda

Ruth P Saunders

Russell R Pate

Affiliations

Soon will be listed here.

Abstract

Objective: To examine whether the decline in physical activity observed from childhood through adolescence is explained by moderating effects of self-efficacy on concurrent changes in children's goals and beliefs about their physical activity environments.

Method: Latent growth modeling was used in longitudinal tests in a cohort of 79 boys and 108 girls assessed in 5th, 6th, 7th, 9th, and 11th grades.

Results: Physical activity measured objectively by an accelerometer declined most in students who had bigger declines in self-efficacy and (1) maintained higher perceptions of barriers to physical activity, (2) had bigger declines in enjoyment and fitness goals, or (3) had smaller declines in appearance and social goals.

Conclusions: Trials of physical activity interventions based on social-cognitive theory should consider that the influence of changing goals on physical activity may differ according to whether students maintain high efficacy beliefs about overcoming barriers to physical activity coincident with perceptions of their physical activity environment. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Citing Articles

The relationship between gender identity and depressive symptoms in adolescents: a moderated mediation model of self-efficacy and family functioning.

Hou C, Yan H, Xiang Z, Leng C, Tao H, Liu Z BMC Public Health. 2025; 25(1):615.

PMID: 39953516 PMC: 11827441. DOI: 10.1186/s12889-025-21854-w.

Identifying data gaps in early childhood physical activity evidence.

Wimberly J, Nguyen A, Memoli E, Kasman M, Heerman B, Pate R Front Pediatr. 2024; 12:1485500.

PMID: 39639953 PMC: 11617195. DOI: 10.3389/fped.2024.1485500.

Fatigue and physical activity in post-CABG patients: the parallel mediation model of kinesiophobia and self-efficacy : a prospective multicentre and cross-sectional study in China.

Li L, Piao J, Shang Z BMJ Open. 2024; 14(6):e082576.

PMID: 38951011 PMC: 11328647. DOI: 10.1136/bmjopen-2023-082576.

Change in general and domain-specific physical activity during the transition from primary to secondary education: a systematic review.

Spruijtenburg G, van Abswoude F, Adams I, Platvoet S, de Niet M, Steenbergen B BMC Public Health. 2024; 24(1):1005.

PMID: 38605307 PMC: 11008009. DOI: 10.1186/s12889-024-18539-1.

Childhood and adolescence physical activity and multimorbidity later in life: A systematic review.

Souilla L, Larsen A, Juhl C, Skou S, Bricca A J Multimorb Comorb. 2024; 14:26335565241231403.

PMID: 38333053 PMC: 10851728. DOI: 10.1177/26335565241231403.

References

Kuczmarski R, Ogden C, Grummer-Strawn L, Flegal K, Guo S, Wei R . CDC growth charts: United States. Adv Data. 2001; (314):1-27. View

Sirard J, Pate R . Physical activity assessment in children and adolescents. Sports Med. 2001; 31(6):439-54. DOI: 10.2165/00007256-200131060-00004. View

Dishman R, Motl R, Saunders R, Dowda M, Felton G, Ward D . Factorial invariance and latent mean structure of questionnaires measuring social-cognitive determinants of physical activity among black and white adolescent girls. Prev Med. 2001; 34(1):100-8. DOI: 10.1006/pmed.2001.0959. View

Mirwald R, Baxter-Jones A, Bailey D, Beunen G . An assessment of maturity from anthropometric measurements. Med Sci Sports Exerc. 2002; 34(4):689-94. DOI: 10.1097/00005768-200204000-00020. View

Bandura A . Health promotion by social cognitive means. Health Educ Behav. 2004; 31(2):143-64. DOI: 10.1177/1090198104263660. View

Catellier D, Hannan P, Murray D, Addy C, Conway T, Yang S . Imputation of missing data when measuring physical activity by accelerometry. Med Sci Sports Exerc. 2005; 37(11 Suppl):S555-62. PMC: 2435061. DOI: 10.1249/01.mss.0000185651.59486.4e. View

MacCallum R, Browne M, Cai L . Testing differences between nested covariance structure models: Power analysis and null hypotheses. Psychol Methods. 2006; 11(1):19-35. DOI: 10.1037/1082-989X.11.1.19. View

Evenson K, Birnbaum A, Bedimo-Rung A, Sallis J, Voorhees C, Ring K . Girls' perception of physical environmental factors and transportation: reliability and association with physical activity and active transport to school. Int J Behav Nutr Phys Act. 2006; 3:28. PMC: 1594571. DOI: 10.1186/1479-5868-3-28. View

Meredith W, Teresi J . An essay on measurement and factorial invariance. Med Care. 2006; 44(11 Suppl 3):S69-77. DOI: 10.1097/01.mlr.0000245438.73837.89. View

10.

Dishman R, Saunders R, Felton G, Ward D, Dowda M, Pate R . Goals and intentions mediate efficacy beliefs and declining physical activity in high school girls. Am J Prev Med. 2006; 31(6):475-83. DOI: 10.1016/j.amepre.2006.08.002. View

11.

Dowda M, Dishman R, Pfeiffer K, Pate R . Family support for physical activity in girls from 8th to 12th grade in South Carolina. Prev Med. 2006; 44(2):153-9. PMC: 2031210. DOI: 10.1016/j.ypmed.2006.10.001. View

12.

Duncan S, Duncan T, Strycker L, Chaumeton N . A cohort-sequential latent growth model of physical activity from ages 12 to 17 years. Ann Behav Med. 2007; 33(1):80-9. PMC: 2729662. DOI: 10.1207/s15324796abm3301_9. View

13.

Troiano R, Berrigan D, Dodd K, Masse L, Tilert T, McDowell M . Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc. 2007; 40(1):181-8. DOI: 10.1249/mss.0b013e31815a51b3. View

14.

Nader P, Bradley R, Houts R, McRitchie S, OBrien M . Moderate-to-vigorous physical activity from ages 9 to 15 years. JAMA. 2008; 300(3):295-305. DOI: 10.1001/jama.300.3.295. View

15.

Lubans D, Foster C, Biddle S . A review of mediators of behavior in interventions to promote physical activity among children and adolescents. Prev Med. 2008; 47(5):463-70. DOI: 10.1016/j.ypmed.2008.07.011. View

16.

Dishman R, Saunders R, Motl R, Dowda M, Pate R . Self-efficacy moderates the relation between declines in physical activity and perceived social support in high school girls. J Pediatr Psychol. 2008; 34(4):441-51. PMC: 2671981. DOI: 10.1093/jpepsy/jsn100. View

17.

Dowda M, Dishman R, Porter D, Saunders R, Pate R . Commercial facilities, social cognitive variables, and physical activity of 12th grade girls. Ann Behav Med. 2009; 37(1):77-87. DOI: 10.1007/s12160-009-9080-0. View

18.

Dishman R, Hales D, Sallis J, Saunders R, Dunn A, Bedimo-Rung A . Validity of social-cognitive measures for physical activity in middle-school girls. J Pediatr Psychol. 2009; 35(1):72-88. PMC: 2910934. DOI: 10.1093/jpepsy/jsp031. View

19.

Dishman R, Dunn A, Sallis J, Vandenberg R, Pratt C . Social-cognitive correlates of physical activity in a multi-ethnic cohort of middle-school girls: two-year prospective study. J Pediatr Psychol. 2009; 35(2):188-98. PMC: 2902830. DOI: 10.1093/jpepsy/jsp042. View

20.

Stalsberg R, Pedersen A . Effects of socioeconomic status on the physical activity in adolescents: a systematic review of the evidence. Scand J Med Sci Sports. 2010; 20(3):368-83. DOI: 10.1111/j.1600-0838.2009.01047.x. View