Determinan Aktivitas Fisik pada Aggregate Dewasa
Abstract
This study aims to analyze the determination of physical activity in adult aggregates in Lhokseumawe City. The research design used was a descriptive correlation with a cross-sectional approach. The results showed that the majority of respondents were adults (26-35 years old) that is 61 people (62.9%), female 69 people (71.1%), higher education level 74 people (76.3%), working does not depend on time, namely, 36 people (37.1%), living in urban areas, namely 90 people (92.8%), and having a monthly income of <Rp 3,165,030, namely 69 people (71.1%). Variables related to physical activity were age (p=0.003), perceived benefits and barriers (p=0.024), and self-efficacy (p=0.000). The most dominant factor about physical activity in respondents was age, with an odds ratio of 4.622 (95% CI: 1.759-12.143). In conclusion, the most significant determinant of physical activity in the adult aggregate is age.
Keywords: Aggregate Adults, Determinants of Physical Activity
References
Aprilliya, S. (2019). Hubungan Self Efficacy dengan Aktivitas Fisik Lansia Hipertensi di Wilayah Kerja Puskesmas Bantul 1 Yogyakarta. Universitas Alma Ata Yogyakarta.
http://elibrary.almaata.ac.id/id/eprint/1516
Bronikowski, M., Bronikowska, M., Maciaszek, J., & Glapa, A. (2018). Maybe It is Not a Goal That Matters: A Report from a Physical Activity Intervention in Youth. Journal of Sports Medicine and Physical Fitness, 58(3), 348–355. https://doi.org/10.23736/S0022-4707.16.06611-1
CDC. (2020). Benefits of Physical Activity. Retrieved from https://www.cdc.gov/physicalactivity/basics/pa-health/index.htm
Dinas Kesehatan Aceh. (2019). Profil Kesehatan Aceh 2019. Banda Aceh. https://dinkes.acehprov.go.id/jelajah/read/2020/05/15/107/profil-kesehatan-aceh-tahun-2019.html
Dinas Kesehatan Kota Lhokseumawe. (2018). Profil Kesehatan Kota Lhokseumawe Tahun 2017. Lhokseumawe
Gabal, H. A. M. S., Wahdan, M. M., & Eldin, W. S. (2020). Perceived Benefits and Barriers Towards Exercise among Healthcare Providers in Ain Shams University Hospitals, Egypt. Journal of the Egyptian Public Health Association, 95(1), 1–9. https://doi.org/10.1186/s42506-020-00042-1
GarcÃa-Fernández, J., González-López, J. R., Vilches-Arenas, Ã., & Lomas-Campos, M. M. (2019). Determinants of Physical Activity Performed by Young Adults. International Journal of Environmental Research and Public Health, 16(21). https://doi.org/10.3390/ijerph16214061
GPAQ) Analysis Guide. Geneva: World Health Organization. Retrieved from http://scholar.google.com/scholar?hl=en&btnG=Search&q=intitle:Global+Physical+Activity+Questionnaire+(GPAQ)+Analysis+Guide#
Gudnadottir, U., Cadmus-Bertram, L., Spicer, A., Gorzelitz, J., & Malecki, K. (2019). The Relationship between Occupational Physical Activity and Self-Reported vs Measured Total Physical Activity. Preventive Medicine Reports, 15(June), 100908. https://doi.org/10.1016/j.pmedr.2019.100908
Haegele, J. A., & Zhu, X. (2021). Physical Activity, Self-Efficacy and Health-Related Quality of Life among Adults with Visual Impairments. Disability and Rehabilitation, 43(4), 530–536. https://doi.org/10.1080/09638288.2019.1631397
Kemenkes RI. (2018). Laporan Nasional Riskesdas 2018. Badan Penelitian dan Pengembangan Kesehatan. Jakarta
Vaara, J. P., Vasankari, T., Koski, H. J., & Kyröläinen, H. (2019). Awareness and Knowledge of Physical Activity Recommendations in Young Adult Men. Frontiers in Public Health, 7(October), 1–9. https://doi.org/10.3389/fpubh.2019.00310
Copyright (c) 2021 Aulia Rahmi, Asniar Asniar, Teuku Tahlil
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
