The association between family structure and physical activity among medical students

Authors

  • Ignatio Rika Haryono Atma Jaya Catholic University of Indonesia, School of Medicine, Department of Physiology, Indonesia https://orcid.org/0000-0002-4057-4581
  • Sabrina Clarissa Suwandi Atma Jaya Catholic University of Indonesia, School of Medicine, Department of Physiology, Indonesia
  • Nawanto Agung Prastowo Atma Jaya Catholic University of Indonesia, School of Medicine, Department of Physiology, Indonesia https://orcid.org/0000-0001-7905-7912

DOI:

https://doi.org/10.55225/hppa.408

Keywords:

physical activity, college students, family structure, family support

Abstract

Introduction: Lack of physical activity has become a tremendous health problem in young people, notably in the digital communication era. Due to burdensome academic tasks, the situation may be more rigorous for medical students. The family structure is supposed to influence children’s physical activity patterns.
Aim of the study: This study aimed to investigate the effect of family structure on physical activity levels in medical students.
Methods: This cross-sectional study was followed by 109 students; 75 (68.8%) were female. Gender, family structure, parents’ level of physical activity, number of families, and the presence of grandparents were included as independent variables. In contrast, students’ level of physical activity was a dependent variable. Data on independent variables were obtained through a guided interview. The International Physical Activity Questionnaire (IPAQ) was applied to assess students’ level of physical activity. Variables were dichotomously categorized to simplify statistical testing. Chi-square was applied to reveal the relationship between the dependent and independent variables. A p-value of less than 0.05 was considered significant.
Results: 39 (35.8%) students had low IPAQ score, 47 (43.1%) moderate, and 23 (21.1%) high. Most students (61.4%) lived in a nuclear family. There were 55 students (50.5%) who lived with family members less than 5; only 31 (28.4%) reported the presence of grandparents in their homes. Most students’ parents reported doing sufficient regular exercise (73.1%). Students’ IPAQ score was associated with the family type (OR 3.56, 95% CI 1.53–8.20, p = 0.002) and the presence of grandparents (OR 3.76, 95% CI 1.57–9.00, p = 0.002).
Conclusion: Medical students who lived in a nuclear family and lived without their grandparents had higher physical activity levels.

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Ogden CL, Carroll MD, Lawman HG, Fryar CD, Kruszon--Moran D, Kit BK, Flegal KM. Trends in obesity prevalence among children and adolescents in the United States, 1988–1994 through 2013–2014. JAMA. 2016;315(21):2292-2299. doi: 10.1001/jama.2016.6361. DOI: https://doi.org/10.1001/jama.2016.6361   Google Scholar

Morrison JA, Friedman LA, Gray-McGuire C. Metabolic syndrome in childhood predicts adult cardiovascular disease 25 years later: The Princeton Lipid Research Clinics Follow-up Study. Pediatrics. 2007;120(2):340-345. doi: 10.1542/peds.2006-1699. DOI: https://doi.org/10.1542/peds.2006-1699   Google Scholar

Morrison JA, Friedman LA, Wang P, Glueck CJ. Metabolic syndrome in childhood predicts adult metabolic syndrome and type 2 diabetes mellitus 25 to 30 years later. J Pediatr. 2008;152(2):201-206. doi: 10.1016/j.jpeds.2007.09.010. DOI: https://doi.org/10.1016/j.jpeds.2007.09.010   Google Scholar

Bull FC, Al-Ansari SS, Biddle S, et al. World Health Organization 2020 guidelines on physical activity and sedentary behavior. Br J Sports Med. 2020;54(24):1451–1462. doi: 10.1136/bjsports-2020-102955. DOI: https://doi.org/10.1136/bjsports-2020-102955   Google Scholar

Guthold R, Stevens GA, Riley LM, Bull FC. Global trends in insufficient physical activity among adolescents: a pooled analysis of 298 population-based surveys with 1·6 million participants. Lancet Child Adolesc Health. 2020;4(1):23-35. doi: 10.1016/S2352-4642(19)30323-2. DOI: https://doi.org/10.1016/S2352-4642(19)30323-2   Google Scholar

Arundell L, Fletcher E, Salmon J, Veitch J, Hinkley T. A systematic review of the prevalence of sedentary behavior during the after-school period among children aged 5-18 years. Int J Behav Nutr Phys Act. 2016;13(1):93. doi: 10.1186/s12966-016-0419-1. DOI: https://doi.org/10.1186/s12966-016-0419-1   Google Scholar

Cheng LA, Mendonça G, de Farias Júnior JC. Physical activity in adolescents: analysis of the social influence of parents and friends. J Pediatr. 2014;90(1):35-41. doi: 10.1016/j.jped.2013.05.006. DOI: https://doi.org/10.1016/j.jped.2013.05.006   Google Scholar

Wang L, Qi J. Association between family structure and physical activity of Chinese adolescents. Biomed Res Int. 2016:1-7. doi: 10.1155/2016/4278682. DOI: https://doi.org/10.1155/2016/4278682   Google Scholar

Quarmby T, Dagkas S, Bridge M. Associations between children’s physical activities, sedentary behaviors and family structure: A sequential mixed-methods approach. Health Educ Res. 2010;26(1):63-76. doi: 10.1093/her/cyq071. DOI: https://doi.org/10.1093/her/cyq071   Google Scholar

Langøy A, Smith ORF, Wold B, Samdal O, Haug EM. Associations between family structure and young people’s physical activity and screen time behaviors. BMC Public Health. 2019;19(1):433. doi: 10.1186/s12889-019-6740-2. DOI: https://doi.org/10.1186/s12889-019-6740-2   Google Scholar

Liabsuetrakul T, Southern Soil-Transmitted Helminths and Maternal Health Working Group. Is international or Asian criteria-based body mass index associated with maternal anaemia, low birth weight, and preterm births among the Thai population? An observational study. J Health Popul Nutr. 2011;29(3): 218-228. doi: 10.3329/jhpn.v29i3.7869. DOI: https://doi.org/10.3329/jhpn.v29i3.7869   Google Scholar

Sallis JF, Alcaraz JE, McKenzie TL, Hovell MF, Kolody B, Nader PR. Parental behavior in relation to physical activity and fitness in 9-year-old children. Am J Dis Child. 1992;146(11):1383–1388. doi: 10.1001/archpedi.1992.02160230141035. DOI: https://doi.org/10.1001/archpedi.1992.02160230141035   Google Scholar

Lindquist C, Reynolds K, Goran M. Sociocultural determinants of physical activity among children. Prev Med. 1999;29(4):305-312. doi: 10.1006/pmed.1999.0546. DOI: https://doi.org/10.1006/pmed.1999.0546   Google Scholar

Hesketh K, Crawford D, Salmon J. Children’s television viewing and objectively measured physical activity: Associations with family circumstance. Int J Behav Nutr Phys Act. 2006;3:36. doi: 10.1186/1479-5868-3-36. DOI: https://doi.org/10.1186/1479-5868-3-36   Google Scholar

McVeigh JA, Norris SA, de Wet T. The relationship between socio-economic status and physical activity patterns in South African children. Acta Paediatr. 2004;93(7):982–988. doi: 10.1111/j.1651-2227.2004.tb02699.x. DOI: https://doi.org/10.1111/j.1651-2227.2004.tb02699.x   Google Scholar

Tremblay MS, Willms JD. Is the Canadian childhood obesity epidemic related to physical inactivity? Int J Obes Relat Metab Disord. 2003;27(9):1100–1105. doi: 10.1038/sj.ijo.0802376. DOI: https://doi.org/10.1038/sj.ijo.0802376   Google Scholar

Amato PR, Keith B. Parental divorce and the well-being of children: A meta-analysis. Psychol Bull. 1991;110(1):26–46. doi: 10.1037/0033-2909.110.1.26. DOI: https://doi.org/10.1037/0033-2909.110.1.26   Google Scholar

Trost SG, Sallis JF, Pate RR, Freedson PS, Taylor WC, Dowda M. Evaluating a model of parental influence on youth physical activity. Am J Prev Med. 2003;25(4):277–282. doi: 10.1016/s0749-3797(03)00217-4. DOI: https://doi.org/10.1016/S0749-3797(03)00217-4   Google Scholar

Biddle SJH, Atkin AJ, Cavill N, Foster C. Correlates of physical activity in youth: A review of quantitative systematic reviews. Int Rev Sport Exerc Psychol. 2011;4(1):25-49. doi: 10.1080/1750984X.2010.548528. DOI: https://doi.org/10.1080/1750984X.2010.548528   Google Scholar

Gustafson SL, Rhodes RE. Parental correlates of physical activity in children and early adolescents. Sport Med. 2006;36(1):79–97. doi: 10.2165/00007256-200636010-00006. DOI: https://doi.org/10.2165/00007256-200636010-00006   Google Scholar

Ibsen B, Seippel Ø. Voluntary organized sport in Denmark and Norway. Sport Soc. 2010;13(4):593–608. doi: 10.1080/17430431003616266. DOI: https://doi.org/10.1080/17430431003616266   Google Scholar

Wang X, Liu Q-M, Ren Y-J, Lv J, Li L-M. Family influences on physical activity and sedentary behaviours in Chinese junior high school students: A cross-sectional study. BMC Public Health. 2015;15:287. doi: 10.1186/s12889-015-1593-9. DOI: https://doi.org/10.1186/s12889-015-1593-9   Google Scholar

Chen F, Liu G, Mair CA. Intergenerational ties in context: Grandparents caring for grandchildren in China. Soc Forces. 2011;90(2):571–594. doi: 10.1093/sf/sor012. DOI: https://doi.org/10.1093/sf/sor012   Google Scholar

Yang XL, Telama R, Laakso L. Parents’ physical activity, socio-economic status and education as predictors of physical activity and sport among children and youths: A 12-year follow-up study. Int Rev Sociol Sport. 1996;31(3):273-291. doi: 10.1177/101269029603100304. DOI: https://doi.org/10.1177/101269029603100304   Google Scholar

Scharf M, Shulman S, Avigad-Spitz L. Sibling relationships in emerging adulthood and in adolescence. J Adolesc Res. 2005;20(1):64-90. doi: 10.1177/0743558404271133. DOI: https://doi.org/10.1177/0743558404271133   Google Scholar

Kuzmik A, Liu Y, Cuffee Y, Kong L, Sciamanna CN, Rovniak LS. The association between gender and physical activity was partially mediated by social network size during COVID-19. Int J Environ Res Pub Health. 2022;19(5):2495. doi: 10.3390/ijerph19052495. DOI: https://doi.org/10.3390/ijerph19052495   Google Scholar

Ricardo LIC, Wendt A, Costa CDS, et al. Gender inequalities in physical activity among adolescents from 64 Global South countries. J Sport Health Sci. 2022;11(4):509-520. doi: 10.1016/j.jshs.2022.01.007. DOI: https://doi.org/10.1016/j.jshs.2022.01.007   Google Scholar

Jiang W, Luo J, Guan H. Gender difference in the relationship of physical activity and subjective happiness among Chinese university students. Front Psychol. 2021;12:800515. doi: 10.3389/fpsyg.2021.800515. DOI: https://doi.org/10.3389/fpsyg.2021.800515   Google Scholar

The Lancet Public Health. Time to tackle the physical activity gender gap. Lancet Pub Health. 2019;4(8):e360. doi: 10.1016/S2468-2667(19)30135-5. DOI: https://doi.org/10.1016/S2468-2667(19)30135-5   Google Scholar

Haq AU, Chand S. Exploratory study of the pattern and motives of Facebook usage among university students. J Stat. 2014;21:118–127.   Google Scholar

Mazman SG, Usluel YK. Gender differences in using social networks. Turkish Online J Educ Technol. 2011;10(2):133-139.   Google Scholar

McLaughlin D, Vagenas D, Pachana NA, Begum N, Dobson A. Gender differences in social network size and satisfaction in adults in their 70s. J Health Psychol. 2010;15(5):671–679. doi: 10.1177/1359105310368177. DOI: https://doi.org/10.1177/1359105310368177   Google Scholar

Liao Y-H, Kao T-W, Peng T-C, Chang Y-W. Gender differences in the association between physical activity and health-related quality of life among community-dwelling elders. Aging Clin Exp Res. 2021;33(4):901-908. doi: 10.1007/s40520-020-01597-x. DOI: https://doi.org/10.1007/s40520-020-01597-x   Google Scholar

van Uffelen JGZ, Khan A, Burton NW. Gender differences in physical activity motivators and context preferences: A population-based study in people in their sixties. BMC Public Health. 2017;17(1):624. doi: 10.1186/s12889-017-4540-0. DOI: https://doi.org/10.1186/s12889-017-4540-0   Google Scholar

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Published

2022-10-07

How to Cite

Haryono, I. R., Suwandi, S. C., & Prastowo, N. A. (2022). The association between family structure and physical activity among medical students. Health Promotion & Physical Activity, 20(3), 23–28. https://doi.org/10.55225/hppa.408

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