RESEARCH PAPER
The relationship between self-reported physical activity level, haematological indices, and health-related quality of life of people living with human immunodeficiency virus
1
Department of Medical Rehabilitation, Faculty of Health Sciences and Technology, University of Nigeria, Enugu Campus, Nigeria
2
Department of Physiotherapy, Alex Ekwueme Federal University Teaching Hospital, Abakaliki, Ebonyi State, Nigeria
Submission date: 2019-02-12
Final revision date: 2019-04-25
Acceptance date: 2019-04-25
Publication date: 2019-09-06
HIV & AIDS Review 2019;18(3):176-182
KEYWORDS
TOPICS
ABSTRACT
Introduction:
At present no study has evaluated the correlation of self-reported physical activity (PA) with haematological indices and health-related quality of life (HRQOL) of people living with human immune deficiency virus (HIV). The study examined the relationship between self-reported PA level, haematological indices, and HRQOL of people living with HIV.
Material and methods:
This cross-sectional study involved 80 participants recruited from the HIV clinic of a tertiary hospital. A self-structured questionnaire, the International Physical Activity Questionnaire (IPAQ) and the RAND-36 questionnaire were used to assess socio-demographic data, PA level, and HRQOL, respectively. The participants’ current haematological indices: haemoglobin (HB), white blood cell (WBC) count, and neutrophil were obtained through laboratory blood analysis. Pearson’s correlation coefficient was used to determine the relationship between the variables of interest. One-way analysis of variance (ANOVA) was used to determine the difference between the means of the variables across the PA levels.
Results:
There was a trend of increase in haematological parameters and in the scores of the subdomains of HRQOL as the PA level increased. However, there was no statistically significant correlation between PA level and the haematological parameters. There was satisfactory scoring in the general HRQOL of the participants, but only the sub-domain of social functioning (r = 0.299, p = 0.041) and pain (r = 0.299, p = 0.041) in the HRQOL was significantly positively correlated with PA level (measured in METS).
Conclusions:
PA may improve the HRQOL and the haematological status of people living with HIV, therefore PA should be recommended as an adjunct therapy to pharmacotherapy in management of HIV infection in order to improve HRQOL.
At present no study has evaluated the correlation of self-reported physical activity (PA) with haematological indices and health-related quality of life (HRQOL) of people living with human immune deficiency virus (HIV). The study examined the relationship between self-reported PA level, haematological indices, and HRQOL of people living with HIV.
Material and methods:
This cross-sectional study involved 80 participants recruited from the HIV clinic of a tertiary hospital. A self-structured questionnaire, the International Physical Activity Questionnaire (IPAQ) and the RAND-36 questionnaire were used to assess socio-demographic data, PA level, and HRQOL, respectively. The participants’ current haematological indices: haemoglobin (HB), white blood cell (WBC) count, and neutrophil were obtained through laboratory blood analysis. Pearson’s correlation coefficient was used to determine the relationship between the variables of interest. One-way analysis of variance (ANOVA) was used to determine the difference between the means of the variables across the PA levels.
Results:
There was a trend of increase in haematological parameters and in the scores of the subdomains of HRQOL as the PA level increased. However, there was no statistically significant correlation between PA level and the haematological parameters. There was satisfactory scoring in the general HRQOL of the participants, but only the sub-domain of social functioning (r = 0.299, p = 0.041) and pain (r = 0.299, p = 0.041) in the HRQOL was significantly positively correlated with PA level (measured in METS).
Conclusions:
PA may improve the HRQOL and the haematological status of people living with HIV, therefore PA should be recommended as an adjunct therapy to pharmacotherapy in management of HIV infection in order to improve HRQOL.
REFERENCES (38)
1.
World Health Organization. Physical activity: a global recommendation. Available at: http://www.who.int/dietphysica... (Accessed 28.08.2018).
2.
Lee IM, Skerrett PJ. Physical activity and all-cause mortality: what is the dose response relation? Med Sci Sports Exerc 2001; 33: S459-S471.
3.
Paffenbarger Jr RS, Hyde R, Wing AL, et al. Physical activity, all-cause mortality, and longevity of college alumni. N Engl J Med 1986; 314: 605-613.
4.
Paffenbarger Jr RS, Hyde R, Wing AL, et al. The association of changes in physical-activity level and other lifestyle characteristics with mortality among men. N Engl J Med 1993; 328: 538-545.
5.
Anastos K, Kalish LA, Hessol N, et al. The relative value of CD4 cell count and quantitative HIV-1 RNA in predicting survival in HIV-1-infected women: results of the women’s interagency HIV study. AIDS 1999; 13: 1717-1726.
6.
Kim S, Hammer SM, Jackson JB, et al. Both serum HIV type 1 RNA levels and CD4+ lymphocyte counts predict clinical outcome in HIV type1-infected subjects with 200 to 500 CD4+ cells per cubic millimeter. AIDS Clinical Trials Group Study 175 Virology Study Team. AIDS Res Hum Retroviruses 2000; 16: 645-653.
7.
Hogg RS, Yip B, Chan KJ, et al. Rates of disease progression by baseline CD4 cell count and viral load after initiating triple-drug therapy. JAMA 2001; 286: 2568-2577.
8.
Ballem PJ, Belzberg A, Devine DV, et al. Kinetic studies of the mechanism of thrombocytopenia in patients with human immunodeficiency virus infection. N Engl J Med 1992; 327: 1779-1784.
9.
Harbol AW, Liesveld JL, Simpson-Haidaris PJ, et al. Mechanisms of cytopenia in human immunodeficiency virus infection. Blood Rev 1994; 8: 241-251.
10.
Sabin CA, Griffioen A, Yee TT, et al. Markers of HIV-1 disease progression in individuals with haemophilia co-infected with hepatitis C virus: a longitudinal study. Lancet 2002; 360: 1546-1551.
11.
Mofenson LM, Harris DR, Moye J et al. Alternatives to HIV-1 RNA concentration and CD4 count to predict mortality in HIV-1-infected children in resource-poor settings. Lancet 2003; 362: 1625-1627.
12.
Gange SJ, Lau B, Phair J, et al. Rapid declines in total lymphocyte count and hemoglobin in HIV infection begin at CD4 lymphocyte counts that justify antiretroviral therapy. AIDS 2003; 17: 119-121.
13.
Muluneh A, Fessahaye A. Hematologic abnormalities among children on HAART in Jimma University Specialized Hospital, Southwestern Ethiopia. Ethiop J Health Sci 2009; 19: 83-89.
14.
Dikshit B, Wanchu A, Sachdeva KR, et al. Profile of hematological abnormalities of Indian HIV infected individuals. BMC Blood Disord 2009; 9: 5.
15.
Behler C, Shade S, Gregory K, et al. Anemia and HIV in the antiretroviral era: potential significance of testosterone. AIDS Res Hum Retroviruses 2005; 21: 200-206.
16.
Bhusal P, Timilsina S, Sharma D. Effect of 30 minutes brisk walking on hemoglobin concentration and leukocyte count. Int J Health Sci Res 2017; 7: 70-73.
17.
Olgalha C, Luz E, Sampaio E, et al. A randomized clinical trial to evaluate the impact of regular physical activity on quality of life, body morphology and metabolic parameters of patients with AIDS. J Acquir Immune Defic Syndr 2011; 5: 179-185.
18.
Jacobson DL, Wu AW, Feinberg J. Health-related quality of life predicts survival, cytomegalovirus disease, and study retention in clinical trial participants with advanced HIV disease. J Clin Epidemiol 2003; 56: 874-879.
19.
Cunningham W, Crystal S, Bozzette S, et al. The association of health-related quality of life with survival among persons with HIV infections in the United States. J Gen Intern Med 2005; 20: 21-27.
20.
Mathews WC, May S. EuroQOl (EQ-5D) measure of quality of life predicts mortality, emergency department utilization, and hospital discharge rates in HIV infected adults under care. Health Qual Life Outcomes 2007; 5: 5.
21.
De Boer-van der Kolk IM, Sprangers MA, Prins JM, et al. Health- related quality of life and survival among HIV infected patients receiving highly active antiretroviral therapy: a study of patients in the AIDS Therapy Evaluation in the Netherlands (ATHENA) Cohort. Clin Infect Dis 2010; 50: 255-263.
22.
Benoni G. Effect of acute exercise on some hematological parameters and neutrophil functions in active and inactive subjects. Eur J Appl Physiol Occup Physiol 1995; 70: 187-191.
23.
McAuley E, Elavsky S. Physical activity, aging, and quality of life: implications for measurement. In: Zhu W, Chodzko-Zajko W (eds.). Measurement issues in aging and physical activity. Human Kinetics, Champaign 2005; 57-68.
24.
Bize R, Johnson JA, Plotnikoff RC. Physical activity level and health-related quality of life in the general adult population: a systematic review. Prev Med 2007; 45: 401-415.
25.
Gillison FB, Skevington SM, Sato A, et al. The effects of exercise interventions on quality of life in clinical and healthy populations: a meta-analysis. Soc Sci Med 2009; 68: 1700-1710.
26.
Berger BG, Tobar D. Physical activity and quality of life. In: Tenenbaum G, Eklund RC (eds.). Handbook of Sport Psychology. 3rd ed. Wiley, Hoboken 2007; 598-620.
27.
John DO, Tella BA, Olawale OA, et al. Effects of a 6-week aerobic exercise programme on the cardiovascular parameters, body composition, and quality of life of people living with human immune virus. J Exerc Rehab 2018; 14: 891-898.
28.
Booth ML. Assessment of physical activity: an international perspective. Res Quart Exer Sport 2000; 71: 114-120.
29.
Oyeyemi AL, Oyeyemi AY, Adegoke BO, et al. The short international physical activity questionnaire: cross-cultural adaptation, validation and reliability of the Hausa language version in Nigeria. BMC Med Res Methodol 2011; 11: 156.
30.
Hays RD, Morales LS. The RAND-36 measure of health-related quality of life. Ann Med 2001; 33: 350-357.
31.
Hays RD, Prince-Embury S, Chen H. RAND-36 Health Status Inventory. The Psychological Corporation, San Antonio 1998; 9-10.
32.
Mbada CE, Adeogun GA, Ogunlana MO, et al. Translation, cross-cultural adaptation and psychometric evaluation of yoruba version of the short-form 36 health survey. Health Qual Life Outcomes 2015; 13: 141.
33.
Stewart A, Marfell-Jones M, Olds T, et al. International Society for the Advancement of Kinantropometry. International Standards for Anthropometric Assessment. Lower Hutt, New Zealand 2001.
34.
Galun E, Burstein R, Assia E, et al. Changes of white blood cell count during prolonged exercise. Int J Sports Med 1987; 8: 253-255.
35.
Focht BC. Exercise and health-related quality of life. In: Acevedo A (ed.). The handbook of exercise psychology. Oxford University Press, New York 2012; 97-116.
36.
Tiozzo E. The effect of combined moderate-intensity training on immune functioning, metabolic variables, and quality of life in HIV- infected individuals receiving highly active antiretroviral therapy. Open Access Dissertations 2011; Paper 678.
37.
Ciccolo JT, Esbelle MJ, Bartholomew JB. The benefits of exercise training for quality of life in HIV/AIDS in the post-HAART era. Sports Med 2004; 34: 487-499.
38.
Anokye NK, Trueman P, Green C, et al. Physical activity and health related quality of life. BMC Public Health 2012; 12: 624.
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