Determinants of physical activity among middle aged and elderly

Authors

DOI:

https://doi.org/10.18203/2394-6040.ijcmph20222197

Keywords:

Physical activity, Middle aged and elderly, Global physical activity questioner, Comorbid

Abstract

Background: Physical activity is an important role to avoid non-communicable diseases. This study aims to find out the determinants associated with physical activity among middle aged and elderly.

Methods: This study used a cross-sectional design on aged 45-year-old respondent that lived in DKI Jakarta. Data collection was carried out for 6 months through interviews conducted by enumerators with recording answers using g-form. Physical activity data was obtained by interviewing activities conducted by respondents in the last 7 days which will then be categorized into heavy, moderate, and low. The physical activity questionnaire used the global physical activity questioner, and the other variables were assessed through interviews with categorized results. Data processed using SPSS through descriptive data, to assess data’s frequency and correlation by looking at the magnitude of the relationship. 

Results: Correlation assessed with gamma test as the data was categorical with more than 3 groups and was not normally distributed. There was a significant association between physical activity and work (p=0.001), comorbid amounts (p=0.001), and body mass index (p=0.011) with a fairly strong correlation. Hypertension and joint disease are common diseases (33%) acquired among middle aged and elderly.

Conclusions: There is a relationship between physical activity and work, the number of comorbidities, and body mass indexes with a fairly strong relationship. Interviews directly with respondents can lead to better data. 

Metrics

Metrics Loading ...

Author Biographies

Citra Puspa Juwita, Department of Physiotherapy, Faculty of Vocational Studies, Universitas Kristen Indonesia, Jakarta, Indonesia

Public Health, Physiotherapy Program, Faculty of Vocational Studies,

Weeke Budhyanti, Department of Physiotherapy, Faculty of Vocational Studies, Universitas Kristen Indonesia, Jakarta, Indonesia

Physiotherapy Program, Faculty of Vocational Studies

James Wilson Hasoloan Manik, Department of Physiotherapy, Faculty of Vocational Studies, Universitas Kristen Indonesia, Jakarta, Indonesia

Physiotherapy Program, Faculty of Vocational Studies

References

National report on basic health research, Jakarta. Available at: www.sciepub.com/reference/301235. Accessed on 20 October 2021.

General guidelines for the implementation of the healthy living community movement 2017. Available at: https://www.frbsf.org/. Accessed on 20 October 2021.

National report on basic health research 2018. Available at: https://ghdx.healthdata.org/. Accessed on 20 October 2021.

Ethisan P, Somrongthong R, Ahmed J, Kumar R, Chapman RS. Factors related to physical activity among the elderly population in rural Thailand. J Prim Care Community Health. 2017;8(2):71-6.

McKevitt S, Healey E, Jinks C, Rathod-Mistry T, Quicke J. The association between comorbidity and physical activity levels in people with osteoarthritis: Secondary analysis from two randomised controlled trials. Osteoarthr Cartil Open. 2020;2(2):100057.

Lee IM, Shiroma EJ, Lobelo F, Puska P, Blair SN, Katzmarzyk PT. Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy. Lancet. 2012; 380(9838):219-29.

Global physical activity questionnaire (GPAQ) analysis guide. Available at: http://en&btnG=Search &q=intitle:Global+Physical+Activity+Questionnaire+(GPAQ)+Analysis+Guide#1. Accessed on 20 September 2021.

Budhyanti W. Body mass index and fitness level of Jakarta's young adults. IJMAES. 2021;7(4):1113-21.

Rezuş E, Burlui A, Cardoneanu A, Rezuş C, Codreanu C, Pârvu M, Rusu Zota G, Tamba BI. Inactivity and skeletal muscle metabolism: a vicious cycle in old age. Int J Mol Sci. 2020;21(2):592.

Fatima S, Mahmood S. Combatting a silent killer the importance of self-screening of blood pressure from an early age. Excli J. 2021;20:1326-7.

Skoczyńska M, Chowaniec M, Szymczak A, Langner-Hetmańczuk A, Maciążek-Chyra B, Wiland P. Pathophysiology of hyperuricemia and its clinical significance a narrative review. Rheumatologia. 2020;58(5):312-23.

Ahuja A, Gupta J, Gupta R. Diabetes silent killer: medical focus on food replacement and dietary plans. Adv Biores. 2020;11(5):128-35.

Juwita CP, Simanjuntak D. Behavior of health care professionals to promoting of Physical Activity in the Pandemic Covid-19. Int J Med Exer Sci. 2021:7(2): 1026-33.

Jakicic JM, Kraus WE, Powell KE, Campbell WW, Janz KF, Troiano RP, et al. Association between bout duration of physical activity and health: systematic review. Med Sci Sports Exer. 2018:51(6):1213-9.

BPS. Statistik Penduduk Lanjut Usia 2019. Badan Pusat Statistik. Available at: https://www.bps.go.id/. Accessed on 20 September 2021.

Juwita CP, Napitupulu RM. Hygiene and healthy living behavior and stress during the covid-19 pandemic. Int J Med Exer Sci. 2021;7(3):1041-8.

Downloads

Published

2022-08-26

How to Cite

Juwita, C. P., Budhyanti, W., & Manik, J. W. H. (2022). Determinants of physical activity among middle aged and elderly. International Journal Of Community Medicine And Public Health, 9(9), 3385–3388. https://doi.org/10.18203/2394-6040.ijcmph20222197

Issue

Section

Original Research Articles