Research in Community and Public Health Nursing

Original Articles

[English] Factors Associated with Physical Activity in Older Adults by Region: Based on the 2017 Community Health Survey: Hyun Ju Lee, Yeong Suk Lee, Jung Mi Yun; J Korean Acad Community Health Nurs. 2020;31(Suppl):563-576. Published online December 31, 2020; DOI: https://doi.org/10.12799/jkachn.2020.31.S.563

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Purpose
The purpose of this study is to identify personal factors, social factors, and environmental factors related to physical activity in older adults in urban and non-urban areas. Methods: We used source data from the 2017 Community Health Survey. The subjects of this study included some older adults aged 65 and over, and analyzed the data of 23,043 older adults living in the urban and 34,063 older adults living in the non-urban area. Results: The common factors influencing physical activity in older adults by region include current smoking and drinking, BMI, sleep duration, and subjective health status, help with neighbors, frequency of meeting with neighbors and friends, participation in social and leisure activities, and falls experience (p<.001). However, the living environment, public transport satisfaction, and medical service use significantly associated with physical activity for only older adults living in the urban area (p<.001). Conclusion: In order to improve physical activity in older adults in the community, it is necessary to consider not only the improvement of individual factors that practice health behaviors but also health promotion strategies that take into account social and environmental factors because there are environmental differences among regions.

Citations

Citations to this article as recorded by

Community-Dwelling Filipino Older Adults’ Experiences with Virtual Coach for Health-Enhancing Physical Activity (HEPA): A Phenomenology
Michael Joseph S. Dino, Kenneth W. Dion, Peter M. Abadir, Chakra Budhathoki, Patrick Tracy Balbin, Ma. Kristina G. Malacas, Rommel P. Hernandez, Jacquelyn Joyce G. Nicolas, Jhal Barcial-Espinosa, Cheryl R. Dennison Himmelfarb, Patricia M. Davidson, Ladda
Nursing Reports.2025; 15(2): 49. CrossRef
Bridging the Built and Social Environments: A Systematic Review of Studies Investigating Influences on Physical Activity
Tyler Prochnow, Laurel S. Curran, Christina Amo, Meg S. Patterson
Journal of Physical Activity and Health.2023; : 1. CrossRef
Symptom profiles and their influencing factors among people with subjective cognitive decline: a secondary analysis of cross-sectional data from the 2019 Korea Community Health Survey using latent class analysis
Hohyun Seong, Jongmin Park
BMJ Open.2023; 13(8): e072236. CrossRef
Determinants of Physical Activity in Older Adults in South-Eastern Poland
Agnieszka Wiśniowska-Szurlej, Agnieszka Ćwirlej-Sozańska, Anna Wilmowska-Pietruszyńska, Bernard Sozański
International Journal of Environmental Research and Public Health.2022; 19(24): 16922. CrossRef
Body mass index, subjective body shape, and suicidal ideation among community-dwelling Korean adults
Chae Eun Yong, Young Bum Kim, Jiyoung Lyu
Archives of Public Health.2021;[Epub] CrossRef

[English] Analysis of Spatial Distribution of Hypertension Prevalence and Its Related Factors based on the Model of Social Determinants of Health: Min Jung Kim, Nam Hee Park; J Korean Acad Community Health Nurs. 2018;29(4):414-428. Published online December 31, 2018; DOI: https://doi.org/10.12799/jkachn.2018.29.4.414

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2 Citations

Abstract PDF

PURPOSE
The purpose of this study is to identify the spatial distribution of hypertension prevalence and to investigate individual and regional-level factors contributing to the prevalence of hypertension in the region.
METHODS
This study is a cross-sectional research using the 2015 Community Health Survey. Total 64,473 people from 7 metropolitan cities were used for the final analysis. Geoda program was adopted to identify the regional distribution of hypertension prevalence and analyzed by descriptive statistics, one-way ANOVA and correlation analysis using SPSS statistics 23.0 program. Multi-level analysis was performed using SPSS (GLMM).
RESULTS
The prevalence of hypertension was related to individual level factors such as age, monthly household income, normal salt intake, walking practice days, and regional level factors including number of doctors per 10,000 population, number of parks, and fast food score. Besides, regional level factors were associated with hypertension prevalencies independently without the effects of individual level factors even though the influences of individual level factors ware larger than those of regional factors.
CONCLUSION
Respectively, both individual and regional level factors should be considered in hypertension intervention programs. Also, a national level research is further required by exploring various environmental factors and those influences relating to the hypertension prevalence.

Citations

Citations to this article as recorded by

Regional factors affecting the prevalence of hypertension using geographic information system
Hyojeong Lee, Jihye Lim
Scientific Reports.2025;[Epub] CrossRef
Health behavior model based on transcultural nursing for preventing cardiovascular complications in hypertension patients in the community
I. Israfil, A. Yusuf, F. Efendi
"Arterial’naya Gipertenziya" ("Arterial Hypertension").2025; 31(2): 148. CrossRef

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