Research in Community and Public Health Nursing

Bong Jeong Kim

2 Articles

Factors associated with Patient Activation for Self-management among Community Residents with Osteoarthritis in Korea: Yang Heui Ahn, Bong Jeong Kim, Ok Kyung Ham, Seong Hoon Kim; J Korean Acad Community Health Nurs. 2015;26(3):303-311. Published online September 30, 2015; DOI: https://doi.org/10.12799/jkachn.2015.26.3.303

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PURPOSE
The purpose of this study was to survey patient activation for self-management and to identify factors associated with patient activation for self-management among community residents with osteoarthritis in Korea.
METHODS
Cross-sectional study design was used. Survey data were collected from 270 community residents with osteoarthritis through direct interviews. Studied factors included patient activation, joint pain, physical function, depression, and general characteristics. Data were analyzed using chi-squared test, t-test and multivariate logistic regression analysis.
RESULTS
The participants' mean score of patient activation was 56.0+/-16.61. The mean score of each factor was 10.6+/-5.89 for joint pain, 5.5+/-3.56 for physical function, and 19.3+/-10.01 for depression. The patient activation level was significantly associated with depression and general characteristics such as education, religion, comorbid hypertension, and use of medical clinics (p<.05).
CONCLUSION
The findings suggest that depression, education, religion, comorbid hypertension, and use of medical clinics may be important factors to be considered when developing programs of patient activation for self-management. This is the first study that measured patient activation, and further studies are suggested to find factors associated with patient activation for self-management among community residents with other chronic diseases.

Citations

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Relationship Between Patient Activation and Type 2 Diabetes Mellitus Self-management and Clinical Outcomes in Saudi Arabian Primary Care Setting
Nasser Almutairi, Vinod Gopaldasani, Hassan Hosseinzadeh
American Journal of Health Promotion.2024; 38(6): 767. CrossRef
Patient Activation in Cancer Patients: Concept Analysis
Se Young Jang, Eun Sun Lee
Korean Journal of Adult Nursing.2024; 36(1): 15. CrossRef
Factors associated with patient activation among patients with diabetes on hemodialysis: a multicenter cross-sectional study from a developing country
Jehad M. Zeidalkilani, Yazan A. Milhem, Reem N. Shorafa, Sari Taha, Amer A. Koni, Samah W. Al-Jabi, Sa’ed H. Zyoud
BMC Nephrology.2024;[Epub] CrossRef
Exploring the Relationships Among Social Support, Patient Activation, and Pain-Related Outcomes
Marianne S Matthias, Adam T Hirsh, Susan Ofner, Joanne Daggy
Pain Medicine.2022; 23(4): 676. CrossRef
Nurses’ beliefs about back pain, their coping strategies and participant activation for self-management
Loveness A. Nkhata, Yolandi Brink, Dawn Ernstzen, Diribsa Tsegaye, Quinnette Louw
South African Journal of Physiotherapy.2022;[Epub] CrossRef
Patient activation level and its associated factors in adults with chronic pain
Fengzhen Yao, Man Zheng, Xiaoqing Wang, Shujuan Ji, Sha Li, Gang Xu, Zhen Zheng
Medicine.2021; 100(19): e25929. CrossRef
Factors influencing nurses’ provision of self-management support for patients with chronic illnesses: A systematic mixed studies review
Ambreen Tharani, Ann Van Hecke, Tazeen Saeed Ali, Veerle Duprez
International Journal of Nursing Studies.2021; 120: 103983. CrossRef
Nurses back pain beliefs, coping strategies and factors associated with participant activation for self‐management of back pain
Loveness A. Nkhata, Yolandi Brink, Dawn Ernstzen, Quinette A. Louw
Journal of Advanced Nursing.2021; 77(9): 3772. CrossRef
Chronic Patients’ Activation and Its Association with Stress, Anxiety, Depression, and Quality of Life: A Survey in Southeast Iran
Mohammad Ali Zakeri, Mahlagha Dehghan, Fatemeh Ghaedi-Heidari, Maryam Zakeri, Gholamreza Bazmandegan, Yeong Shiong Chiew
BioMed Research International.2021; 2021: 1. CrossRef
Reliability and Validity of the Patient Activation Measure in Kidney Disease: Results of Rasch Analysis
Courtney J. Lightfoot, Thomas J. Wilkinson, Katherine E. Memory, Jared Palmer, Alice C. Smith
Clinical Journal of the American Society of Nephrology.2021; 16(6): 880. CrossRef
Patient Activation and its Predictors in Hospitalized Older Adults in Singapore
Ee-Yuee Chan, George Frederick Glass, Run Qi Cheong, Guey Fong Chin, Devon Yun Jia Chng
Geriatric Nursing.2021; 42(2): 336. CrossRef
Evaluation of the Interaction Model of Client Health Behavior‐based multifaceted intervention on patient activation and osteoarthritis symptoms
Yang Heui Ahn, Ok Kyung Ham
Japan Journal of Nursing Science.2020;[Epub] CrossRef
Religiosity and Patient Activation Among Hospital Survivors of an Acute Coronary Syndrome
Hawa O. Abu, David D. McManus, Catarina I. Kiefe, Robert J. Goldberg
Journal of General Internal Medicine.2020; 35(3): 762. CrossRef
Postoperative Pain Self‐Management Behavior in Patients Who Underwent Total Knee or Hip Arthroplasty
Ning‐Ning Zhu, Pei‐Pei Xu, Ting‐Ting Lei, Ting Sun, Sally Wai‐Chi Chan
AORN Journal.2017; 105(4): 355. CrossRef
Assessing the Impact of a Novel Smartphone Application Compared With Standard Follow-Up on Mobility of Patients With Knee Osteoarthritis Following Treatment With Hylan G-F 20: A Randomized Controlled Trial
Nebojsa Skrepnik, Andrew Spitzer, Roy Altman, John Hoekstra, John Stewart, Richard Toselli
JMIR mHealth and uHealth.2017; 5(5): e64. CrossRef
Factors associated with patient activation in an Australian population with comorbid diabetes and chronic kidney disease: a cross-sectional study
Edward Zimbudzi, Clement Lo, Sanjeeva Ranasinha, Gregory R Fulcher, Stephen Jan, Peter G Kerr, Kevan R Polkinghorne, Grant Russell, Rowan G Walker, Sophia Zoungas
BMJ Open.2017; 7(10): e017695. CrossRef
Using Intervention Mapping to Develop a Community-based Disease Self-management Support Program for Patients with Osteoarthritis
Yang Heui Ahn
Journal of muscle and joint health.2015; 22(3): 245. CrossRef

Prevalence of the Metabolic Syndrome and Its associated Factors among Elders in a Rural Community: Bong Jeong Kim; J Korean Acad Community Health Nurs. 2013;24(2):225-235. Published online June 30, 2013; DOI: https://doi.org/10.12799/jkachn.2013.24.2.225

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PURPOSE
The purpose of this study is to identify the prevalence of the metabolic syndrome (MS) and factors associated with it among elders in a rural community.
METHODS
Data were collected from 683 subjects with a questionnaire, physical measurement, and blood test. The prevalence of the MS was determined by AHA/NHLBI and waist circumference cutoff points for Koreans.
RESULTS
The prevalence of the MS was 50.5% in total (41.6% in men, 56.3% in women) while the prevalence of 5 metabolic risk factors was 67.7% for elevated blood pressure, 51.0% for low HDL-cholesterol, and 50.2% for abdominal obesity. Risk factors associated with the prevalence of the MS included family history, BMI, and physical activity; significant factors associated with that of metabolic components included family history, BMI, smoking, drinking, and physical activity. Especially, a higher BMI was a strong risk factor of the prevalence of abdominal obesity as well as the MS and its components.
CONCLUSION
The findings indicate that nurses should care for elders based on each metabolic component regarding its prevalence level and concentrate primarily on reducing elevated blood pressure, low HDL-cholesterol by controlling the main risk factor, abdominal obesity through lifestyle modification.

Citations

Citations to this article as recorded by

Sociodemographic and Health Characteristics Associated with Metabolic Syndrome in Men and Women Aged ≥50 Years
Goeun Chung, Hye-Sun Jung, Hye-Jin Kim
Metabolic Syndrome and Related Disorders.2021; 19(3): 159. CrossRef
Prevalence and correlates of metabolic syndrome and its components in elderly Korean adults
Seonho Kim, Wi-Young So
Experimental Gerontology.2016; 84: 107. CrossRef

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