- Open Access
Physical activity is related to quality of life in older adults
© Acree et al; licensee BioMed Central Ltd. 2006
- Received: 16 January 2006
- Accepted: 30 June 2006
- Published: 30 June 2006
Physical activity is associated with health-related quality of life (HRQL) in clinical populations, but less is known whether this relationship exists in older men and women who are healthy. Thus, this study determined if physical activity was related to HRQL in apparently healthy, older subjects.
Measures were obtained from 112 male and female volunteers (70 ± 8 years, mean ± SD) recruited from media advertisements and flyers around the Norman, Oklahoma area. Data was collected using a medical history questionnaire, HRQL from the Medical Outcomes Survey short form-36 questionnaire, and physical activity level from the Johnson Space Center physical activity scale. Subjects were separated into either a higher physically active group (n = 62) or a lower physically active group (n = 50) according to the physical activity scale.
The HRQL scores in all eight domains were significantly higher (p < 0.05) in the group reporting higher physical activity. Additionally, the more active group had fewer females (44% vs. 72%, p = 0.033), and lower prevalence of hypertension (39% vs. 60%, p = 0.041) than the low active group. After adjusting for gender and hypertension, the more active group had higher values in the following five HRQL domains: physical function (82 ± 20 vs. 68 ± 21, p = 0.029), role-physical (83 ± 34 vs. 61 ± 36, p = 0.022), bodily pain (83 ± 22 vs. 66 ± 23, p = 0.001), vitality (74 ± 15 vs. 59 ± 16, p = 0.001), and social functioning (92 ± 18 vs. 83 ± 19, p = 0.040). General health, role-emotional, and mental health were not significantly different (p > 0.05) between the two groups.
Healthy older adults who regularly participated in physical activity of at least moderate intensity for more than one hour per week had higher HRQL measures in both physical and mental domains than those who were less physically active. Therefore, incorporating more physical activity into the lifestyles of sedentary or slightly active older individuals may improve their HRQL.
- Physical Activity
- Physical Activity Level
- Bodily Pain
- Lower Physical Activity
- High Physical Activity
Successful aging encompasses multiple dimensions of health, including physical, functional, social, and psychological well-being . Maintaining a high level of quality of life into advanced age is a growing public health concern as the older adult population continues to increase. In fact, one of the primary goals of Healthy People 2010 is to improve both the quality and the number of years of healthy life . Quality of life is frequently measured in investigations to evaluate the health of both clinical and general populations , and is therefore termed health-related quality of life (HRQL). Core dimensions in a HRQL assessment include physical and social functioning, emotional well-being, role activities, and individual health perceptions [3, 4].
Physical activity has a beneficial effect on HRQL in patients with depression , intermittent claudication , coronary disease , and multiple organ dysfunctions . In 2001, a review concluded that physical activity, often in the form of endurance and/or resistance training exercise, was positively associated with HRQL, regardless of age, health and activity status . Data from the 2001 Behavioral Risk Factor Surveillance System, consisting of a large sample with a wide range of demographic and physical characteristics, found that people attaining the recommended amounts of physical activity had higher HRQL than their less active counterparts . However, few of these studies have addressed the relationship between physical activity and all domains of HRQL in healthy, older adults.
In aging populations, the health benefits from physical activity (i.e., decreased risk for cardiovascular disease, diabetes, hypertension, cancer, and all-cause mortality) are well-known [10–12]. However, it is not clear whether physical activity improves specific domains of HRQL. A recent report found that physical activity was associated with less bodily pain in a carefully selected group of sedentary older adults who had either high normal blood pressure or mild hypertension, but who were free of clinical manifestations of chronic diseases . The lack of association between physical activity and the other domains of HRQL may have occurred due to the narrow range in physical activity level of this sedentary cohort. Thus, studying older adults who are physically active in addition to those who are sedentary may be necessary to delineate the association between physical activity and HRQL.
The main purpose of this study was to determine if physical activity was associated with HRQL in apparently healthy, older subjects.
A total of 112 subjects (63 females and 49 males) between the ages of 60 and 89 years were recruited from newspaper advertisements and media flyers posted around the Norman, OK area. Prior to investigation, each subject completed a written informed consent. The study was conducted with the approval of the Institutional Review Board at the University of Oklahoma.
Inclusion and exclusion criteria
Men and women who were 60 years of age and older were included in this study. Participants with a history of overt cardiovascular disease (i.e., myocardial infarction, stroke, congestive heart failure, lower extremity revascularization, and peripheral arterial disease confirmed by an ankle/brachial index < 0.90) or chronic obstructive pulmonary disease were excluded because of the possible confounding influences that cardiovascular diseases may have on both physical activity and HRQL.
Demographic measures and medical history
A detailed, medical history was obtained from each participant. The medical history addressed all of the aforementioned exclusion criteria, as well as other comorbid conditions such as hyperlipidemia, dyspnea, diabetes, arthritis, hypertension. Height was measured using a stadiometer, with the measurement taken to the nearest 0.1 cm. Weight was measured using a balance scale, with the measurement taken to the nearest 0.1 kg. Height and weight measurements were then used to calculate body mass index (BMI): [BMI = (weight in kilograms)/(height in meters)2]. Waist-to-hip ratio was measured with a Gulick measuring tape, with a horizontal measure at both the waist and hip sites, taken to the nearest 0.1 cm. Blood pressure and heart rate were measured with a Critikon automated Dinamap sphygmomanometer following 10 minutes of supine rest, and ankle/brachial index was obtained by Doppler ultrasound .
Subjects were divided into either a lower or higher physical activity group based on their score on the Johnson Space Center physical activity scale, as previously described . This scale consists of the following scores: 0 = avoid physical activities, 1 = light physical activities done occasionally, 2 = moderate physical activities done regularly for less than one hour per week, 3 = moderate physical activities done regularly for more than one hour per week, 4 = heavy physical activities done regularly for less than 30 minutes per week, 5 = heavy physical activities done regularly between 30 and 60 minutes per week, 6 = heavy physical activities done regularly between 1 and 3 hours per week, and 7 = heavy physical activities done regularly for more than 3 hours per week. Subjects were asked to select the number that best corresponded to their physical activity level during the previous month. Subjects who had a score of 2 or below were included in the lower physical activity group (n = 50), whereas subjects who had a score of 3 or above were included in the higher physical activity group (n = 62). In this likert scale, those subjects who scored less than 3 were far below the minimum recommendation of physical activity from the Center for Disease Control and the American College of Sports Medicine , whereas those who scored 3 or higher were closer to meeting this recommendation or exceeded it. The Johnson Space Center physical activity scale is a valid measure of peak oxygen uptake  and monitored physical activity (r = 0.44, p < 0.001) in older adults . Furthermore, the prediction of peak oxygen uptake by using the Johnson Space Center physical activity scale has been validated in gender-specific models, as well as in a generalized model which included both men and women .
The Medical Outcomes Survey Short Form-36 (MOS SF-36) questionnaire was administered to assess HRQL over the previous four weeks . The MOS SF-36 is a widely used, reliable, and valid criterion measure of HRQL in numerous populations . The MOS SF-36 questionnaire has 36 questions that are scored to measure eight domains of HRQL pertaining to both physical and mental health [19, 20]. The domains of physical functioning, role limitations due to physical health (role-physical), bodily pain, and general health comprised the physical component of HRQL, whereas the domains of vitality, social functioning, role limitations due to emotional health (role-emotional), and mental health comprised the mental component of HRQL . Each domain was scored using a scale ranging between 0 and 100, with higher scores indicating a higher HRQL than lower scores. Internal consistency of the MOS SF-36 is good, with Cronbach's alpha ranging from 0.76 to 0.90 for all domains of the questionnaire .
SPSS version 11.5 for Windows was used to analyze all data. Unpaired t-tests were performed on continuous variables to determine differences in HRQL and demographic measurements between the high active and low active groups. Chi-square tests were performed on categorical variables to determine differences between the two groups in the prevalence of comorbid conditions obtained from the medical history. Analysis of covariance was performed to determine whether differences in HRQL measurements between the high active and low active groups persisted after adjusting for group differences in demographic and comorbid measures. Statistical significance was set at P = 0.05. Measurements are reported as mean ± standard deviation (SD).
Subject characteristics between those who have lower and higher levels of physical activity. Values are means (SD) or percentages.
Lower Physical Activity Group (n = 50)
Higher Physical Activity Group (n = 62)
Body Mass Index (kg/m2)
Gender (% Female)
Race (% Causasian)
Health-related quality of life measures in subjects who have lower and higher levels of physical activity. Values are means (SD).
Lower Physical Activity Group (n = 50)
Higher Physical Activity Group (n = 62)
Adjusted health-related quality of life measures in subjects who have lower and higher levels of physical activity. Values are means (SD).
Lower Physical Activity Group (n = 50)
Higher Physical Activity Group (n = 62)
The primary findings of this investigation were that healthy older adults who participated in regular physical activity of at least moderate intensity for more than one hour per week had higher values in all eight domains of HRQL than those who were less physically active. After adjustment for gender and hypertension, the group reporting higher physical activity had higher values in five of the domains of HRQL than the group with lower physical activity.
Several studies have shown that organized, high-intensity exercise regimens can benefit HRQL in both diseased [3, 5, 22–24] and healthy populations [25, 26]. Our study extends these findings by showing that the less-structured and less-intense nature of physical activity is positively related to multiple domains of HRQL in healthy, older adults. An active lifestyle preserves physical function in older adults , which may possibly contribute to higher levels of HRQL scores in domains related to physical health. In a carefully selected group of sedentary older adults, habitual physical activity level was associated with less bodily pain, but not with the other domains of HRQL . It is possible that the range in physical activity level was too narrow within the sedentary older adults, thereby limiting the influence that physical activity may have exerted on HRQL domains. The present study supports this notion, as the group having higher physical activity levels had greater values in all of the domains of HRQL related to physical health (i.e., physical function, role limitations due to physical health, bodily pain, and general health) than their more sedentary counterparts.
After adjusting for group differences in gender composition as well as the prevalence of hypertension, all of the HRQL measures in the physical health domain remained higher in the more physically active group except for the measure of general health. This suggests that the HRQL domains of physical function, role limitations due to physical health, and bodily pain are positively associated with physical activity, independent of hypertension and gender. In contrast, group differences in hypertension and gender explained the lower scores in general health in those with lower physical activity. The lack of an independent relationship between physical activity level and the domain of general health agrees with the observation in sedentary older adults , but contradicts other reports that found improvements in perceived health status following an exercise program [28, 29].
In addition to the physical health measures of HRQL, a physically active lifestyle is positively associated with components of mental health in older adults as well . The present investigation found that the group with higher physical activity levels had higher values in all of the domains of HRQL related to mental health (i.e., vitality, social functioning, role limitations due to emotional health, and mental health) than their more sedentary counterparts. After adjusting for group differences in gender composition as well as the prevalence of hypertension, the mental health domains of vitality and social functioning remained higher in the more physically active group, whereas the role-emotional and mental health domains were no longer different between the two groups. Thus, higher levels of physical activity are related to higher scores of vitality and social functioning independent of hypertension and gender. The association between physical activity on mental health domains of vitality and social functioning may be mediated through differences in maximal oxygen uptake and in body fat percentage .
The lack of an independent relationship between physical activity level and the domains of mental health and role limitations due to emotional health found in the present investigation is supported by previous studies [13, 26, 30]. Collectively, these results suggest that physical activity has minimal impact on mental health and role limitations due to emotional health. However, our findings show that hypertension and gender have a more influential role on these HRQL domains, which agree with previous reports that individuals with hypertension have lower values of HRQL in both a general population , and in cardiac patients . It is possible that individuals who have been diagnosed with hypertension have a greater awareness through medical counseling about the increased cardiovascular health risk associated with poorly controlled blood pressure, resulting in concern about their health status. Less is known about the influence of gender on HRQL. Repetto et al. reported that, as a result of a longer life expectancy, women are more apt to live alone and to receive assistance from others for daily life activities , which may influence their perception of HRQL. In addition to these findings, the present study emphasizes the need to more clearly define the independent role that hypertension and gender have on HRQL.
The main limitation of this study is the utilization of a cross-sectional design, which does not allow a true causal relationship to be established. Although physical activity may affect HRQL, it is also possible that HRQL has an impact on physical activity. It should be noted that our recruitment methods were biased toward older individuals who responded to newspaper advertisements and flyers posted in public facilities. Additionally, the Johnson Space Center questionnaire determines an overall level of physical activity without quantifying various types of physical activity. However, the questionnaire does contain questions about sweating that coincide with light, moderate, and heavy activity, thereby increasing the likelihood for more accurate reporting. Another limitation is that both physical activity and HRQL measures were obtained by self-report. However, this limitation is minimized because both instruments are valid and reliable [14, 18], and are simple for health professionals to administer. Finally, the current study used a relatively small convenience sample of healthy older adults who had few co-morbid conditions. Consequently, the findings of this study cannot be generalized to older adults who have more serious health conditions.
In summary, healthy older adults who participated in regular physical activity of at least moderate intensity for more than one hour per week had higher values in all eight domains of HRQL than those who were less physically active. After adjustment for gender and hypertension, the group reporting higher physical activity had higher values in five of the domains of HRQL than the group with lower activity. These findings give added strength to previous observations that higher levels of physical activity may improve HRQL [3, 9, 13]. Therefore, incorporating more than one hour of moderate-intensity physical activity each week into the lifestyles of older individuals who are either sedentary or slightly active may improve their HRQL.
Andrew W. Gardner, Ph.D., was supported by grants from the National Institute on Aging (NIA) (R01-AG-16685), by a University of Oklahoma Research Council grant, and by the University of Oklahoma Health Sciences Center General Clinical Research Center grant (M01-RR-14467) sponsored by the National Center for Research Resources from the National Institutes of Health.
- Phelan EA, Anderson LA, LaCroix AZ, Larson EB: Older adults' views of "successful aging" – how do they compare with researcher's definitions? J Am Geriatr Soc 2004, 52: 211–216. 10.1111/j.1532-5415.2004.52056.xPubMedView ArticleGoogle Scholar
- U.S. Department of Health and Human Services: Healthy People 2010: Understanding and Improving Health. 2nd edition. Washington, D.C.: U.S. Government Printing Office; 2000:8–11.Google Scholar
- Rejeski WJ, Mihalko SL: Physical activity and quality of life in older adults. J Gerontol A Biol Sci Med Sci 2001, 56: 23–35.PubMedView ArticleGoogle Scholar
- Shumaker SA, Anderson RT, Czajkowski SM: Psychological tests and scales. In Quality of life assessment in clinical trials. Edited by: Spilker B. New York: Raven Press; 1990:95–113.Google Scholar
- Singh NA, Clements KM, Fiatarone MA: A randomized controlled trial of progressive resistance training in depressed elders. J Gerontol A Biol Sci Med Sci 1997, 52: M27–35.PubMedView ArticleGoogle Scholar
- Gardner AW, Killewich LA, Montgomery PS, Katzel LI: Response to exercise rehabilitation in smoking and nonsmoking patients with intermittent claudication. J Vasc Surg 2004, 39: 531–538. 10.1016/j.jvs.2003.08.037PubMedView ArticleGoogle Scholar
- Lavie CJ, Milani RV: Effects of cardiac rehabilitation, exercise training, and weight reduction on exercise capacity, coronary risk factors, behavioral characteristics, and quality of life in obese coronary patients. Am J Cardiol 1997, 79: 397–401. 10.1016/S0002-9149(97)89239-9PubMedView ArticleGoogle Scholar
- Wehler M, Geise A, Hadzionerovic D, Aljukic E, Reulbach U, Hahn EG, Strauss R: Health-related quality of life of patients with multiple organ dysfunctions: individual changes and comparison with normative population. Crit Care Med 2003, 31: 1094–1101. 10.1097/01.CCM.0000059642.97686.8BPubMedView ArticleGoogle Scholar
- Brown DW, Balluz LS, Heath GW, Moriarty DG, Ford ES, Giles WH, Mokdad AH: Associations between recommended levels of physical activity and health-related quality of life: Findings from the 2001 Behavioral Risk Factor Surveillance System (BRFSS) survey. Prev Med 2003, 37: 520–528. 10.1016/S0091-7435(03)00179-8PubMedView ArticleGoogle Scholar
- Lim K, Taylor L: Factors associated with physical activity among older people – a population-based study. Prev Med 2005, 40: 33–40. 10.1016/j.ypmed.2004.04.046PubMedView ArticleGoogle Scholar
- Siscovick DS, Fried L, Mittelmark M, Rutan G, Bild D, O'Leary DH: Exercise intensity and subclinical cardiovascular disease in the elderly. The Cardiovascular Health Study. Am J Epidemiol 1997, 145: 977–986.PubMedView ArticleGoogle Scholar
- DiPietro L: Physical activity in aging: changes in patterns and their relationship to health and function. J Gerontol A Biol Sci Med Sci 2001, 56: 13–22.PubMedView ArticleGoogle Scholar
- Stewart KJ, Turner KL, Bacher AC, DeRegis JR, Sung J, Tayback M, Ouyang P: Are fitness, activity, and fatness associated with health-related quality of life and mood in older persons? J Cardiopulm Rehabil 2003, 23: 115–121. 10.1097/00008483-200303000-00009PubMedView ArticleGoogle Scholar
- Jackson AS, Blair SN, Mahar MT, Wier LT, Ross RM, Stuteville JE: Prediction of functional aerobic capacity without exercise testing. Med Sci Sports Exerc 1990, 22: 863–870.PubMedView ArticleGoogle Scholar
- Pate RR, Pratt M, Blair SN, Haskell WL, Macera AA, Bouchard C, Buchner D, Ettinger W, Health GW, King A, Kriska A, Leon AS, Marcus BH, Morris J, Paffenbarger RS Jr, Patrick K, Pollock ML, Rippe JM, Sallis J, Wilmore JH: Physical activity and public health: A recommendation from the Centers for Disease Control and Prevention and the American College of Sports Medicine. JAMA 1995, 273: 402–407. 10.1001/jama.273.5.402PubMedView ArticleGoogle Scholar
- Sieminski DJ, Cowell LL, Montgomery PS, Pillai SB, Gardner AW: Physical activity monitoring in patients with peripheral arterial occlusive disease. J Cardiolpulm Rehabil 1997, 17: 43–47. 10.1097/00008483-199701000-00006View ArticleGoogle Scholar
- Heil DP, Freedson PS, Ahlquist LE, Price J, Rippe JM: Nonexercise regression models to estimate peak oxygen uptake. Med Sci Sports Exerc 1995, 27: 599–606.PubMedGoogle Scholar
- Lyons RA, Perry HM, Littlepage BN: Evidence for the validity of the Short-form 36 Questionnaire (SF-36) in an elderly population. Age Ageing 1994, 23: 182–184.PubMedView ArticleGoogle Scholar
- Ware JE Jr, Sherbourne CD: The MOS 36-item short-form survey (SF-36). I. Conceptual framework and item selection. Med Care 1992, 30: 473–483.PubMedView ArticleGoogle Scholar
- Ware JE Jr, Kosinski M, Bayliss MS, McHorney CA, Rogers WH, Raczek A: Comparison of methods for scoring and analysis of the SF-36 health profiles and summary measures. Med Care 1995, 33: AS264–279.PubMedView ArticleGoogle Scholar
- Jenkinson C, Wright L, Coulter A: Criterion validity and reliability of the SF-36 in a population sample. Qual Life Res 1994, 3: 7–12. 10.1007/BF00647843PubMedView ArticleGoogle Scholar
- Beniamini Y, Rubenstein JJ, Zaichkowsky LD, Crim MC: Effects of high-intensity strength training on quality-of-life parameters in cardiac rehabilitation patients. Am J Cardiol 1997, 80: 841–846. 10.1016/S0002-9149(97)00533-XPubMedView ArticleGoogle Scholar
- Pinto B, Marcus B, Patterson RB, Roberts M, Colucci A, Braun C: On-site versus home exercise programs: psychological benefits for individuals with arterial claudication. J Aging Phys Act 1997, 5: 311–328.Google Scholar
- Stewart KJ, Kelemen MH, Ewart CK: Relationships between self-efficacy and mood before and after exercise training. J Cardiopulm Rehabil 1994, 14: 35–42.View ArticleGoogle Scholar
- Stewart AL, King AC, Haskell WL: Endurance exercise and health-related quality of life outcomes in 50–65 year old adults. Gerontologist 1993, 33: 782–789.PubMedView ArticleGoogle Scholar
- Stewart AL, Mills KM, Sepsis PG, King AC, McLellan BY, Roitz K, Ritter PL: Evaluation of CHAMPS, a physical activity promotion program for older adults. Ann Behav Med 1997, 19: 353–361.PubMedView ArticleGoogle Scholar
- Pollock ML, Graves JE, Swart DL, Lowenthal DT: Exercise training and prescription for the elderly. South Med J 1994, 87: S88–95.PubMedView ArticleGoogle Scholar
- King MB, Whipple RH, Gruman CA, Judge JO, Schmidt JA, Wolfson LI: The performance enhancement project: improving physical performance in older adults. Arch Phys Med Rehabil 2002, 83: 1060–1069. 10.1053/apmr.2002.33653PubMedView ArticleGoogle Scholar
- McMurdo ME, Burnett L: Randomized controlled trial of exercise in the elderly. Gerontology 1992, 38: 292–298.PubMedView ArticleGoogle Scholar
- Brown DR, Wang Y, Ward A, Ebbeling CB, Fortlage L, Puleo E, Benson H, Rippe JM: Chronic psychological effects of exercise and exercise plus cognitive strategies. Med Sci Sports Exerc 1995, 27: 765–775.PubMedView ArticleGoogle Scholar
- Monk M: Blood pressure wareness and psychological well-being in the health and nutrition examination survey. Clin Invest Med 1981, 4: 183–189.PubMedGoogle Scholar
- Lalonde L, O'Connor A, Joseph L, Grover SA, Canadian Collaborative Cardiac Assessment Group: Health-related quality of life in cardiac patients with dyslipidemia and hypertension. Qual Life Res 2004, 13: 793–804. 10.1023/B:QURE.0000021695.26201.a0PubMedView ArticleGoogle Scholar
- Repetto L, Comandini D, Mammoliti S: Life expectancy, comorbidity and quality of life: the treatment equation in the older cancer patients. Crit Rev Oncol Hematol 2001, 37: 147–152.PubMedView ArticleGoogle Scholar
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