Factors Predicting Physical Activity in Patients with Heart Failure

Authors

  • Chanida Lobyaem Faculty of Nursing, Mahidol University.
  • Autchariya Poungkaew Faculty of Nursing, Mahidol University
  • Doungrut Wattanakitkrileart Faculty of Nursing, Mahidol University.
  • Srisakul Chirakarnjanakorn Faculty of Nursing, Mahidol University.

DOI:

https://doi.org/10.60099/jtnmc.v38i01.261296

Keywords:

heart failure , physical activity, hemoglobin level, fear of movement, family support, trust in healthcare providers

Abstract

Introduction: It is evident that physical activity is a non-pharmacological treatment that can improve health outcomes for patients with heart failure. To date, knowledge and factors associated with physical activity remain limited, particularly among Thai patients with heart failure. 

Objective: To evaluate the level of physical activity of patients with heart failure and to investigate the association between hemoglobin levels, fear of movement, family support, and trust in healthcare providers and their predictive power over physical activities. 

Design: A cross-sectional correlational predictive research using Roy’s adaptation model as a research framework. 

Methodology: The sample consisted of 146 patients attending the Department of Internal Medicine and Heart Failure Clinic at a super tertiary hospital from March to June 2022. They were purposive selected based on the inclusion criteria of having stable symptoms of heart failure, no illnesses or conditions that limited their physical movements, having hemoglobin levels tested within six months, and being discharge from the hospital for more than one month from the date of data collection. Data were collected using a demographics and history of illness questionnaire, the Tampa scale for kinesiophobia, the social support scale for exercise behavior, the healthcare relationship trust scale, and the Global Physical Activity Questionnaire. These instruments were validated for quality by experts and tested for reliability prior to use in data collection. The reliability for the entire questionnaire ranged from .78-.98. Data were analyzed using descriptive statistics, Chi square test, Point-biserial correlation and Logistic regression analysis with a significance level of .05. 

Results: The findings of this study revealed that 61.6% of the patients were males, with an average age of 61.05 years (SD = 14.41). Out of 146 participants, 63% had insufficient physical activities (M = 588.49 MET, SD = 574.89). The mean hemoglobin levels were slightly higher than normal in males (M = 13.1, SD = 2.00), while females had hemoglobin lower than normal levels (M = 11.6, SD = 1.90). The levels of fear of movement and family support were low (M = 34.27, SD = 5.19 and M = 23.98, SD = 11.96, respectively). The participants reported a high level of trust in healthcare providers (M = 36.38, SD = 7.58). Chi-square tests and Point-biserial correlation were used to analyze the correlations of the variables. It was found that hemoglobin levels, fear of movement, and family support were significantly and positively correlated with physical activity of the patients (χ2 = 6.201, p< .05, rbi = -.254, p< .01, rbi = .321, p<.01) respectively. The Binary logistic regression analysis revealed that normal hemoglobin levels (OR = 2.877, 95%CI = 1.32, 6.27, p<.01), fear of movement (OR = 0.891, 95%CI = 0.83, 0.96, p<.01), and family support (OR = 1.060, 95%CI = 1.02, 1.10, p<.01) were significant predictors of physical activity in patients with heart failure. The predictive power of these variables together could explain approximately 25.6 %. 

Recommendations: To promote patients with heart failure to perform sufficient physical activity, nurses need to evaluate, manage, and monitor their patients properly to maintain at least their normal hemoglobin levels. Additional approaches should focus on educating the patients about physical activity and providing accessible health services with family involvement. This can help reduce fear of movement and increase family supports towards increasing physical activity levels among patients.

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References

Laviolette L, Laveneziana P. Dyspnoea: a multidimensional and multidisciplinary approach. Eur Respir J. 2014; 43(6):1750-62. doi:10.1183/09031936.0009 2613.

GBD 2017 Disease and Injury Incidence and Prevalence Collaborators. Global,regional, and national incidence, prevalence, and years lived with disabilityfor 354 diseases and injuries for 195 countries and territories,1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018;392(10159):1789–1858. doi: 10.1016/S01 40-6736(18)32279-7.

Groenewegen A, Rutten FH, Mosterd A, Hoes AW. Epidemiology of heart failure. Eur. J. Heart Fail. 2020;22(8):1342-56. doi: 10.1002/ejhf.1858.

Strategy and Planning Division, Ministry of Public Health. Public Health Statistics A.D. 2019 [Internet]. Nonthaburi: Drug and Medical Supply Information Center; [updated 2020 September 1; cited 2021 August 10]. Available from: http://dmsic.moph.go.th/index/detail/8297 (in Thai)

Heart Failure Council of Thailand. 2019 Heart failure guideline [Internet]. 1st ed. Bangkok: Nextstep Design; 2019 [cited 2021 September 7]. Available from: http://www.thaiheart.org/images/column_ 1291454908/2019 HFCT Heart Failure Guideline Thai Version.pdf (in Thai)

Yancy CW, Jessup M, Bozkurt B, Butler J, Casey Jr DE, Colvin MM, et al. 2017 ACC/AHA/HFSA focused update of the 2013 ACCF/AHA guideline for the management of heart failure: a report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines and the Heart Failure Society of America. JACC Journal. 2017;70(6):776-803. doi: 10.1016/j. jacc. 2017.04.025.

Roy SC. The Roy adaptation model. 2nd ed. Englewood Cliffs, NJ: Prentice-Hall; 1984.

World Health Organization. WHO Guidelines on physical activity and sedentary behavior. [Internet]. Geneva: World Health Organization; 2020 [cited 2021 September 13]. Available from: https://apps.who.int/iris/bitstream/handle/10665/336656/ 9789240015128-eng.pdf?sequence=1&isAllowed=y

Snipelisky D, Kelly J, Levine JA, Koepp GA, Anstrom KJ, McNulty SE, et al. Accelerometer-measured daily activity in heart failure with preserved ejection fraction: clinical correlates and association with standard heart failure severity indices. Circulation: Heart Failure. 2017;10(6):e003878. doi: 10.1161/CIRCHEARTFAILURE.117.003878.

Hegde SM, Claggett B, Shah AM, Lewis EF, Anand I, Shah SJ, et al. Physical activity and prognosis in the TOPCAT trial (Treatment of Preserved Cardiac Function Heart Failure with an Aldosterone Antagonist). Circulation. 2017;136(11):982-92. doi: 10. 1161/ CIRCULATIONAHA.117.028002.

Klompstra L, Jaarsma T, Strömberg A. Physical activity in patients with heart failure: barriers and motivations with special focus on sex differences. Patient Prefer. Adherence. 2015;9:1603-10. doi: 10.2147/PPA.S90942.

Poungkaew A, Sindhu S, Pinyopasakul W, Tresukosol D, Viwatwongkasem C. Evaluation of a health service system for heart failure management in Thailand. Suranaree J. Sci. Technol [Internet]. 2018 [cited 2021 September 20]; 25(3)295-306. http://ird.sut.ac.th/ejournal/Journal/pdf/180701237.pdf

Ebner N, Jankowska EA, Ponikowski P, Lainscak M, Elsner S, Sliziuk V, et al. The impact of iron deficiency and anaemia on exercise capacity and outcomes in patients with chronic heart failure. Results from the studies investigating co-morbidities aggravating heart failure. Int. J. Cardiol. 2016;205:6-12. doi:10.1016/j.ijcard.2015.11.178.14.

Sirivatanauksorn V, Srisawat C, Neungton N, Masaratana P, Lekhakula S. Biochemistry of blood [Internet]. 4th ed. Bangkok: Faculty of Medicine Siriraj Hospital; 2019 [cited 2022 September 10]. Available from:https://www.si.mahidol.ac.th/department/biochemistry/home/md/lecture/biochemistry_of_blood.pdf (In Thai)

Bäck M, Jansson B, Cider A, Herlitz J, Lundberg M. Validation of a questionnaire to detect kinesiophobia (fear of movement) in patients with coronary artery disease. J Rehabil Med. 2012;44(4):363-9. doi: 10.2340/16501977-0942.

Albert NM, Forney J, Slifcak E, Sorrell J. Understanding physical activity and exercise behaviors in patients with heart failure. Heart & Lung. 2015;44(1):2-8.

Knapik A, D bek J, Brz k A. Kinesiophobia as a problem in adherence to physical activity recommendations in elderly polish patients with coronary artery disease. Patient Prefer. Adherence. 2019;13:2129-35. doi: 10.2147/PPA.S216196.

Thitikul M, Duangpaeng S, Kunsongkeit W. Factors influencing exercise behavior among acute myocardial infarction patients after percutaneous coronary intervention. TRC Nurs J 2018;10(2):155-73. (In Thai)

Poungkaew A, Boontein P, Tongsai S, Charoenyos N, Tanutpokeenun L. Factors predicting Quality of life among patients with heart failure. Thai J of Cardio-Thoracic Nursing 2020;31(1):179-97. (In Thai)

Ruangthip T, Wattanakitkrileart D, Charoenkitkarn V, Dumavibhat C. Factors influencing medication adherence in patients with chronic heart failure. RTNNMD Journal 2017;44 (3):51-65. (In Thai)

Charuel E, Bernard M, Vaillant Roussel H, Cambon B, Ménini T, Lafarge E, et al. “I Can’t Go Far”: perceptions and experiences of heart failure patients regarding physical activity: a qualitative study using semistructured face-to-face interviews. Health Educ Behav. 2022; 49(1):78-86. doi: 10.1177/10901981211053247.

Imai H, Furukawa TA, Hayashi S-u, Goto A, Izumi K, Hayashino Y, et al. Risk perception, self-efficacy, trust for physician, depression, and behavior modification in diabetic patients. J. Health Psychol. 2020;25(3): 350-60. doi: 10.1177/135910531 7718057.

Faul F, Erdfelder E, Buchner A, Lang A-G. Statistical power analyses using G* Power 3.1: Tests for correlation and regression analyses. Behav. Res. Methods. 2009; 41(4):1149-60. doi:10.3758/BRM.41.4.1149.

Peduzzi P, Concato J, Kemper E, Holford TR, Feinstein AR. A simulation study of the number of events per variable in logistic regression analysis. J Clin Epidemiol. 1996:49(12):1373-9. doi: 10.1016/s0895-4356 (96)00236-3.

Trongsakul S, Lambert R, Clark A, Wongpakaran N, Cross J. Development of the Thai version of Mini-Cog, a brief cognitive screening test. Geriatr Gerontol Int. 2015;15(5): 594-600. doi:10.1111/ggi.12318.

Brislin RW. Back-translation for cross-cultural research. J Cross Cult Psychol. 1970;1(3):185- 216. doi: 10.1177/135910457000100301.

Sallis JF, Grossman RM, Pinski RB, Patterson TL, Nader PR. The development of scales to measure social support for diet and exercise behaviors. Preventive medicine. 1987;16(6):825-36. doi: 10.1016/0091-7435(87)90022-3.

Waraphan C, Wattanakitkrilert D, Sriprasong S, Kongpolprom N. Factors predicting physical activity adherence in patients with chronic obstructive pulmonary disease. NURS SCI J THAIL 2023;41(1):59-72. (In Thai)

Bova C, Fennie KP, Watrous E, Dieckhaus K, Williams AB. The health care relationship (HCR) trust scale: development and psychometric evaluation. Research in Nursing & Health. 2006;29(5):477-88. doi: 10.1002/nur.20158.

Buttapim S, Wanitkun N, Sindhu S, Kasemsarn C. Predictive factors of patients’ quality of life three months after post coronary artery bypass graft surgery. Thai J of Cardio-Thoracic Nursing 2018;29(2):127-40. (In Thai)

Prevention of Noncommunicable Diseases Department, World Health Organization. Global physical activity questionnaire (GPAQ) [Internet]. Geneva: World Health Organization; 2010 [cited 2021 September 13]. Available from: https://www.who.int/publications/m/item/global-physical-activity-questionnaire

Division of Physical Activity and Health, Ministry of Public Health. Global physical activity questionnaire (GPAQ) [Internet]. Bangkok: Ministry of Public Health; 2009 [cited 2021 September 13]. Available from: http://doc.anamai.moph.go.th/files/153294 8477_เอกสารหมายเลข 6.pdf

World Health Organization. Haemoglobin concentrations for the diagnosis of anaemia and assessment of severity [Internet]. Geneva: World Health Organization; 2011 [cited 2021 December 1]. Available from: https://apps.who.int/iris/handle/10665/85839

Zhang, X., Zhao, Q., Wang, M., Yang, M., & Fan, X. Fear of movement and its associated psychosocial factors in heart failure patients: a cross-sectional study. Eur J Cardiovasc Nurs [Internet]. 2022 [cited 2022 July 14]. Available from: https://academic.oup.com/eurjcn/advance-article/doi/10. 1093/eurjcn/ zvac075/6672949.

Gupta C, Bell S, Goggins K, Cawthon C, Kripalani S. Consequences of healthcare system distrust in patients admitted with acute decompensated heart failure. J. Card. Fail. 2013;19(8): S33. Available from: https://www.onlinejcf.com/article/S1071-9164(13)00299-6/fulltex

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Published

2023-03-21

How to Cite

1.
Lobyaem C, Poungkaew A, Wattanakitkrileart D, Chirakarnjanakorn S. Factors Predicting Physical Activity in Patients with Heart Failure. J Thai Nurse midwife Counc [Internet]. 2023 Mar. 21 [cited 2024 Nov. 23];38(01):112-28. Available from: https://he02.tci-thaijo.org/index.php/TJONC/article/view/261296

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Research Articles