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Physical activity and functional disability among older adults in Ghana: The moderating role of multi-morbidity

  • Kofi Awuviry-Newton ,

    Roles Conceptualization, Data curation, Formal analysis, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

    Kofi.Awuviry-Newton@vu.edu.au

    Affiliations African Health and Ageing Research Centre (AHaARC), Winneba, Ghana, College of Health and Biomedicine, Victoria University, Victoria, Australia

  • Mary Amponsah,

    Roles Formal analysis, Writing – original draft, Writing – review & editing

    Affiliations African Health and Ageing Research Centre (AHaARC), Winneba, Ghana, Centre for African Research, Engagement and Partnerships (CARE-P), The University of Newcastle, Newcastle, Australia

  • Dinah Amoah,

    Roles Validation, Writing – review & editing

    Affiliations African Health and Ageing Research Centre (AHaARC), Winneba, Ghana, School of Health Sciences, University of Tasmania, Hobart, Australia

  • Pablo Villalobos Dintrans,

    Roles Validation, Writing – review & editing

    Affiliations African Health and Ageing Research Centre (AHaARC), Winneba, Ghana, Programa Centro Salud Pública, Facultad de Ciencias Médicas, Universidad de Santiago, Santiago, Chile, Millennium Institute for Caregiving Research (MICARE), Chile

  • Adjeiwa Akosua Afram,

    Roles Validation, Writing – review & editing

    Affiliation African Health and Ageing Research Centre (AHaARC), Winneba, Ghana

  • Julie Byles,

    Roles Investigation, Methodology, Supervision, Validation, Writing – review & editing

    Affiliations African Health and Ageing Research Centre (AHaARC), Winneba, Ghana, Centre for Women’s Health Research, Hunter Medical Research Institutes, The University of Newcastle, Newcastle, Australia

  • Jacob Rugare Mugumbate,

    Roles Writing – review & editing

    Affiliations African Health and Ageing Research Centre (AHaARC), Winneba, Ghana, School of Health and Society, University of Wollongong, Wollongong, Australia

  • Paul Kowal,

    Roles Data curation, Investigation, Methodology, Project administration, Supervision, Validation, Writing – review & editing

    Affiliation International Health Transitions, Canberra, Australia

  • Nestor Asiamah

    Roles Writing – review & editing

    Affiliation Division of Interdisciplinary Research and Practice, School of Health and Social Care, University of Essex, Essex, United Kingdom

Abstract

Knowledge about how physical activity levels relate to functional disability is essential for health promotion and planning older adults’ care or rehabilitation. The risk of living with one or more chronic health conditions increases with increasing age in lower and higher income countries–many of which are associated with physical inactivity. We conducted a cross-sectional study to examine the moderating role of multimorbidity on physical activity and its measures on functional disability among older adults in Ghana. Data from WHO’s Study on global AGEing and adult health Ghana Wave 2 with a sample of 4,446 people aged 50+ years was used for this study. Functional disability was assessed using the 12-item WHO Disability Assessment Schedule 2.0. Three categories of physical activity levels were used: vigorous intensity, moderate intensity, and walking. Past month diagnosis by a doctor was used to assess the presence of a chronic condition, and the presence of two or more conditions was used to define multi-morbidity. Logistic regressions with a post hoc interactional tests were used to examine the associations. Overall, physical activity had a significant association with functional disability (OR = 0.25, 95%CI; 0.12, 0.32). A similar relationship was found for vigorous-intensity (OR = 0.19, 95%CI: 0.12, 0.29), moderate-intensity (OR = 0.19, 95%CI: 0.15, 0.25) and walking (OR = 0.41, 95%CI: 0.33, 0.51). Older adults living with one condition and physically active were 47% less likely to experience functional disability compared with the less active counterparts living with at least two chronic conditions. Among the three measures of physical activity, multimorbidity moderated the relationship between walking and functional disability. Future strategies for meeting the health and long-term care needs of older adults, particularly those living with only one chronic condition in Ghana should consider encouraging walking. Policies, financial assistance, family, and community level interventions aimed to promote and sustain physical activity among older adults should be a priority for stakeholders in Ghana.

Introduction

The call for implementing long-term care systems for older adults in every country, including Ghana [1], requires an understanding of the relationship, among others, between physical activity and functional disability. Physical activity has proven to be essential in maintaining health and addressing older adults’ health and long-term care needs in western countries [2, 3]. Physical activity is defined as any bodily movement produced by skeletal muscles that require energy expenditure either through moderate or vigorous-intensity activities or walking [4]. Related to this, functional disability refers to the difficulty in completing activities relating to cognition, mobility, self-care, getting along with others, life activities and participation in society [57].

Although evidence on the effects of physical activity on functional disability in African countries such as Ghana is limited, there is more information from high-income countries. These studies have demonstrated how physical activity leads to a reduction in functional disability [811] by reducing the occurrence of chronic diseases [12]. For example, Kim, Park [13] revealed that engaging in a form of physical activity can lead to decrease in the incidence of depression later in life for adults in South Korea. Also, regular physical activity improves the gait and balance of older adults, consequently reducing the incidence of falls [14] as well as improving motor and auditory attention [15]. A meta-analysis by Tak et al. [16] revealed that an increase in physical activity led to delayed progression of functional disability in older adults; however, they did not find any difference in the rate of decline in functional disability following an increase in physical activity by either an older adult with or without disability [16]. Finally, evidence from 47 low-and middle-income countries reports that high physical activity was associated with less severe subjective memory and learning difficulties [17].

In both lower and higher income countries, multiple factors are known to moderate the relationship between physical activity and functional disability among older adults. Chronic pain is a key factor responsible for physical inactivity [18, 19], and a risk factor for functional disability in older adults [20]. Other known moderating factors include poor health status [21, 22], residing in urban areas [21, 2325], being an older female [26, 27], educational level [22, 28], and marital status [18, 29, 30].

In sub-Saharan African countries, evidence on how these moderators influence the relationship between physical activity measures and functional disability is scant, despite its relevance in determining healthy ageing. Available evidence from a study conducted in low-and middle-income countries suggests that multi-morbidity may moderate the association between physical activity and functional disability [17]. This study aims to evaluate the interactional role of multi-morbidity on the association between physical activity and functional disability, controlling for a number of confounding variables. The novelty of the present study lies in its intention to provide baseline evidence on the relationship between physical activity, functional disability and multimorbidity among older adults in Ghana.

Methods

Ethics statement

Ethical approval for this study was obtained from the WHO Ethical Research Committee (#ID3925). Consent for participants were obtained before the commencement of the study [31].

Study sample

We used data from the Study on global AGEing and adult health (SAGE) Ghana Wave 2 conducted between 2014/2015. SAGE is a Multi-Country (Ghana, South Africa, China, India, Mexico, and Russia) longitudinal study that employed multistage cluster sampling strategies. The University of Ghana Medical School through the Department of Community Health, and in collaboration with the World Health Organization (WHO), implemented the SAGE Wave 2 in Ghana. The current study used a sample size of 4,446 participants (+50 years) who answered all 12 questions on functional disability. Details about the methodology and other relevant information on the study are available elsewhere [32].

Variables

Functional disability.

Functional disability was defined using the 12-item version of the WHO Disability Assessment Schedule (WHODAS 2.0), which classifies responses into five disability categories: none, mild, moderate, severe, and extremely severe. In its full version, the WHODAS 2.0 contains 12 questions from six domains: cognition, mobility, self-care, getting along, life activities, and participation in society [33]. S1 Appendix contains the questions included in the analysis. WHODAS 2.0 was scored on a scale of 0 to 100, with a lower score implying point for determining the severity of the disability [11, 34, 35]. Participants scoring <90.18% were denoted as “no disability” and participants who score > = 90.18% were denoted as “with a disability.”

Physical activity.

Physical activity was measured with three separate items including vigorous activity, moderate activity, and walking. Vigorous-intensity activity was measured by the question “Does your work involve vigorous-intensity activity that causes large increases in breathing or heart rate, [like heavy lifting, digging, or chopping wood] for at least 10 minutes continuously (Yes/No)? The question “Does your work involve moderate-intensity activity that causes small increases in breathing or heart rate [such as brisk walking, carrying light loads, cleaning, cooking, or washing clothes] for at least 10 minutes continuously?” (Yes/No) was used to measure work-related moderate-intensity activity. We used the question “Do you walk or use a bicycle (pedal cycle) for at least 10 minutes continuously to get to and from places?” (Yes/ No) to measure older adults’ engagement in walking.

Additionally, these three measures were scored and aggregated into two response categories; yes (engages in at least one of the three measures of physical activity) and no (engages in none of the three measures). The Cronbach’s α of the three physical activity items combined was 0.61.

Multimorbidity.

The question “Have you ever been diagnosed with/told you have … in the past month? (Yes/No) was used to identify the presence of each of the 11 chronic conditions including stroke, hypertension, injuries, depression, diabetes, angina, arthritis, chronic lung disease, asthma, cataract, and oral health among older adults. Responses were combined and a variable capturing the presence of different conditions was generated to measure multimorbidity (1 = no condition, 2 = one chronic condition and 3 = at least two conditions).

Covariates.

Sociodemographic and health confounding variables included in the analysis were age (continuous), sex (1 = male, 2 = female), marital status (1 = never married, 2 = married/cohabiting, 3 = separated/divorced, 4 = widowed), education (1 = less than primary school, 2 = primary education completed, 3 = senior high completed, 4 = university degree/post), location of residence (1 = rural, 2 = urban) and self-reported health status (1 = good, 2 = moderate, 3 = bad). The health status variable was excluded from the model as it was not statistically significant at p>0.05.

Data analysis

Using STATA version 16, frequency, and percentages, and means and standard deviations were used to describe the variables in the study. Second, bivariate analyses were performed through chi-square, Fisher’s test, and t-test to test relationships between independent variables and dependent variables. Finally, bivariate, and multivariate logistic regression were performed to estimate the crude and adjusted odds ratios (OR) and 95% confidence intervals (CI) for the associations between physical activity and functional disability, and the moderation effect (interaction) of multimorbidity in the relationship.

‘Inclusivity in global research’

Additional information regarding the ethical, cultural, and scientific considerations specific to inclusivity in global research is included in the Supporting Information.

Results

Descriptive statistics

The results in Table 1 show the univariate and bivariate analysis of independent variables in relationship to functional disability. Most of the participants were females (58.9%). The mean age of participants was 57.6 years but the sample of people with functional disability was older, reaching a mean of 74 years (SD,12.2). The prevalence of functional disability among females was higher than in males (64.5% vs 35.5%). A high proportion of functional disability was reported among widowed older adults (46.5%), higher in rural compared to urban areas. A higher prevalence of functional disability was reported among older adults who completed senior high education (39.5%). Regarding multimorbidity, a high prevalence of functional disability was reported among older adults living with at least two chronic conditions (45.9%, p<0.001). Similarly, older adults with self-reported bad health experienced a high prevalence of functional disability (68.2%, p<0.001).

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Table 1. Univariate and bivariate analysis of independent variables and functional disability.

https://doi.org/10.1371/journal.pgph.0001014.t001

Older adults who engaged in physical activity of any kind reported lower functional disability compared to those who were not active (44.4% vs 58.6, p<0.001). A similar result was revealed in the engagement of three specific measures of physical activity (vigorous (4.69%), moderate (18.6%) or walking (41.4%) compared to those who do not engage in these activities (p<0.001). The prevalence of functional disability among older adults was approximately 11%.

Primary results

In this section, we discuss the relationship between overall physical activity and functional disability, while controlling for potential confounding variables including age, sex, marital status and multimorbidity (Table 2). In the unadjusted model (column 1), older adults who were physically active were 80% less likely to experience functional disability (OR = 0.20, 95%CI; 0.16, 0.24). This effect is still observed in the adjusted models (columns 2–6), showing robust evidence of a negative significant relationship between physical activity and functional disability (OR = 0.25, 95%CI; 0.12, 0.32), with minimal changes in the odds ratios. It is important to note that physical activity is measured in its aggregate form, hence the results do not show the potential different effects of different measures of physical activity.

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Table 2. Relationship between physical activity and functional disability adjusted for confounders.

https://doi.org/10.1371/journal.pgph.0001014.t002

Interactions of multimorbidity on the association between physical activity and functional disability

As part of the objective of this study, we estimated the interactions of the impact of morbidity on the relationship between physical activity and functional disability. The results revealed that having at least one chronic condition was associated with more disability; while the interaction between physical activity and multi-morbidity showed no significant effect on functional disability, except for people who experienced one morbidity: for this group, older people who engaged in overall physical activity were 47% less likely to experience functional disability (OR = 0.53, 95%CI; 0.29, 0.96) compared to their counterparts (Tables 3 and 4).

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Table 3. Effects of confounding on the relationship between physical activity and functional disability.

https://doi.org/10.1371/journal.pgph.0001014.t003

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Table 4. Multimorbidity moderation on physical activity association with functional disability.

https://doi.org/10.1371/journal.pgph.0001014.t004

Sensitivity analysis

This analysis was conducted to determine which type of work-related physical activity (vigorous-intensity activity, moderate-intensity activity, and walking) is more likely to affect functional disability. Table 3 reports the association of these activities on functional disability while Table 4 reports the interaction between multimorbidity and physical activity association on functional disability.

Work-related vigorously intense activity was significantly associated with functional disability (Table 3, columns 1–6). Older adults who engaged in vigorously intense activity were 90% less likely to experience functional disability (OR = 0.10, 95%CI: 0.06, 0.15) compared to their counterparts. When adjusted for all confounding included in the study (Table 3, column 6), vigorously intense activity significantly and independently was associated with functional disability (OR = 0.19, 95%CI: 0.12, 0.29).

For moderate intensity (Table 3, columns 7–12), there was a significant association with functional disability (OR = 0.13, 95%CI: 0.11, 0.17). After controlling for confounding variables, the significant association remained (OR = 0.19, 95%CI: 0.15, 0.25).

Similarly, older adults who engaged in walking were 67% less likely to experience functional disability (OR = 0.33, 95%CI: 0.27, 0.40) compared to their counterparts (unadjusted column 13 in Table 3). A similar association was found when controlling for all confounders in Model 18 in Table 3 (OR = 0.41, 95%CI: 0.33, 0.51).

Table 4 presents the results of including multimorbidity as a moderator in the relationship between functional disability and physical activity. While no evidence existed that multimorbidity moderated the relationships between functional disability associations with vigorous- moderate activity, we found significant evidence of the impact of multimorbidity on the association between walking and functional disability. That is, older adults who experience only one chronic condition and engaged in walking were 58% less likely to experience functional disability (OR = 0.42, 95%CI: 0.23, 0.76) compared to their counterparts. This is evidence that engaging in a physical activity, particularly walking, when having any one chronic condition, decreases the likelihood of experiencing functional disability.

Discussion

The current study revealed that older adults with physical activity engagement were 75% less likely to experience functional disability. Physical activity measures such as vigorous-intensity, moderate-intensity and walking were independently significantly associated with functional disability among older adults. Older adults living with only one chronic condition and engaging in walking were 58% less likely to experience functional disability compared to those with no or at least two chronic conditions. The current study adds to the available literature that multimorbidity moderates the relationship between physical activity (walking) and functional disability. This finding extends the existing evidence that significant number of older adults in low- and middle-income countries live with functional disability [11], by adding that engaging in specific physical activity such as vigorous, moderate or walking can contribute to the improvement of the functional ability of older adults. The result is consistent with previous studies from developed countries on how engagement in physical activity reduces the incidence of chronic diseases and depression later in life [12, 13], ultimately reducing premature mortalities [3638], and improving quality of life [39].

The current study revealed a negative relationship between physical activity and functional disability. The examination of the intensity of physical activity that yielded a reduced functional disability revealed that all measures (vigorous, moderate, or walking) resulted in an improvement in older adults ‘functional ability, implying that engagement of any form of physical activity is more likely to lead to reduced functional disability among older adults [13, 15, 20].

Even though evidence has shown that poor health conditions are barrier to physical activity among older adults [21, 22], the current study adds that engagement of physical activity is effective when recommended for older adults with only one chronic condition as they are 47% less likely to experience functional disability as compared to their counterparts. With regards to the intensity of physical activity recommended to achieve a reduction in functional disability, the current study revealed that older adults who experienced only one chronic condition and engaged in walking have better chance of minimizing incidence of functional disability. This finding partly supports a recent study [40] which recommends physical activity for older adults with chronic conditions as it improves functional ability, however, the intensity effective to achieve a reduced functional disability was proposed to be moderate to vigorous physical activity as opposed to light physical activity. The disparity could be due to the nature, duration, and severity of the condition which was not specified. It can therefore be explained that poor health status is not absolutely a barrier to physical activity among older people but the need for sensitization of the benefits of physical activity is paramount [28]. If the benefits of physical activity are made known, older adults may tend to see poor health as a motivation to engage in physical activity than taking medications as reported in a previous study [41]. In this study, the finding that older adults who participated in walking and living with at least two chronic conditions had no association with functional disability is understandable as pains associated with these conditions is usually intense making impact of physical activity such as walking on physical activity insignificant.

Despite the benefits outlined by this study, there are however some limitations. First, data on the type of morbidities were not available as its inclusion would have provided an in-depth understanding of the relationship. Third, the cross-sectional nature of the study limits it in determining the causality of the relationship; future studies using longitudinal research methods can help in understanding how this relationship change over time.

Conclusions and implications

Physical activity particularly, walk, should be encouraged among older adults, even for those with some health issues, as evidence proves it associates with a decrease in functional disability. This can be achieved through a regular creation of awareness through media, campaigns, commemoration of health events on the need for older adults with one form of morbidity to engage in physical activity. In addition, medical personnel attending to older adults with morbidities should be sensitized on the need to incorporate physical activity into the routine care or post discharge care in a bid to reduce functional dysfunction. Policy interventions should therefore incorporate a built environment (sidewalks) that will facilitate walking, organize regular community activities or programs for elderly adults that involves physical activities. Moreover, caregivers should encourage older adults to take part in community meetings or family functions as this can encourage walking to improve the quality of life of older adult. Policies, public health interventions, and financial assistance aimed to promote and sustain physical activity among older adults should be a priority for stakeholders of rehabilitation of older adults receiving long-term care services of any kind in Ghana. The current finding does not only benefit Ghana, but also other low-and middle-income countries seeking to promote healthy ageing.

Supporting information

S1 Appendix. List of the 12 variables included in the WHODAS 2.0 score.

https://doi.org/10.1371/journal.pgph.0001014.s001

(DOC)

Acknowledgments

Authors of the paper offer their gratitude to the older adults who availed themselves to participate in this study. We thank all staff of the African Health and Ageing Research Centre (AHaARC) for making the development of this paper a success.

References

  1. 1. World Health Organisation. Decade of Healthy Ageing. 30 August 2020. https://www.who.int/publications/i/item/9789240017900.
  2. 2. Lau RS, Ohinmaa A, Johnson JA. Predicting the future burden of diabetes in Alberta from 2008 to 2035. Canadian Journal of Diabetes. 2011;35(3):274–81. https://doi.org/10.1016/S1499-2671(11)53011-4.
  3. 3. Paterson DH, Warburton DE. Physical activity and functional limitations in older adults: a systematic review related to Canada’s Physical Activity Guidelines. Int J Behav Nutr Phys Act. 2010;7(1):38. http://www.ijbnpa.org/content/7/1/38. pmid:20459782
  4. 4. WHO. Physical Activity 2020 [Available from: https://www.who.int/news-room/fact-sheets/detail/physical-activity.
  5. 5. World Health Organisation. Measuring health and disability: manual for WHO Disability Assessment Schedule (WHODAS 2.0). Geneva: World Health Organisation; 2012. https://www.who.int/publications/i/item/measuring-health-and-disability-manual-for-who-disability-assessment-schedule-(-whodas-2.0).
  6. 6. Connolly D, Garvey J, McKee G. Factors associated with ADL/IADL disability in community dwelling older adults in the Irish longitudinal study on ageing (TILDA). Disability and rehabilitation. 2017;39(8):809–16. pmid:27045728
  7. 7. Chen SW, Chippendale T. Factors associated with IADL independence: implications for OT practice. Scand J Occup Ther. 2017;24(2):109–15. pmid:27347768
  8. 8. Miller ME, Rejeski WJ, Reboussin BA, Ten Have TR, Ettinger WH. Physical activity, functional limitations, and disability in older adults. Journal of the American Geriatrics Society. 2000;48(10):1264–72. pmid:11037014
  9. 9. Taylor D. Physical activity is medicine for older adults. Postgraduate Medical Journal. 2014;90(1059):26–32. pmid:24255119
  10. 10. Van Rossum M, Koek H. Predictors of functional disability in mild cognitive impairment and dementia. Maturitas. 2016;90:31–6. pmid:27282791
  11. 11. Biritwum R, Minicuci N, Yawson A, Theou O, Mensah G, Naidoo N, et al. Prevalence of and factors associated with frailty and disability in older adults from China, Ghana, India, Mexico, Russia and South Africa. Maturitas. 2016;91:8–18. pmid:27451316
  12. 12. Oguma Y, Shinoda-Tagawa T. Physical activity decreases cardiovascular disease risk in women: review and meta-analysis. American Journal of Preventive Medicine. 2004;26(5):407–18. pmid:15165657
  13. 13. Kim S-Y, Park J-H, Lee MY, Oh K-S, Shin D-W, Shin Y-C. Physical activity and the prevention of depression: A cohort study. General Hospital Psychiatry. 2019;60:90–7. pmid:31376646
  14. 14. Paterson DH, Jones GR, Rice CL. Ageing and physical activity: evidence to develop exercise recommendations for older adults. Can J Public Health. 2007;98 Suppl 2(S2E):S69–108. https://doi.org/10.1139/H07-111@apnm-vis.issue01. pmid:18213941
  15. 15. Angevaren MA, Geert ; Verhaar HJJ, Aleman A, Vanhees L. Physical activity and enhanced fitness to improve cognitive function in older people withoutknown cognitive impairment. Cochrane Database of Systematic Reviews. 2008. https://doi.org/10.1002/14651858.CD005381.pub2.
  16. 16. Tak E, Kuiper R, Chorus A, Hopman-Rock M. Prevention of onset and progression of basic ADL disability by physical activity in community dwelling older adults: a meta-analysis. Ageing research reviews. 2013 Jan 1;12(1):329–38. pmid:23063488
  17. 17. Felez-Nobrega M, Haro JM, Erickson KI, Koyanagi A. Physical activity is associated with fewer subjective cognitive complaints in 47 low-and middle-income countries. Journal of the American Medical Directors Association. 2020;21(10):1423–9. e2. pmid:32253161
  18. 18. Gureje O, Ogunniyi A, Kola L, Afolabi E. Functional disability in elderly Nigerians: Results from the Ibadan Study of Aging. Journal of the American Geriatrics Society. 2006;54(11):1784–9. pmid:17087709
  19. 19. Dansie EJ, Turk DC, Martin KR, Van Domelen DR, Patel KV. Association of chronic widespread pain with objectively measured physical activity in adults: findings from the National Health and Nutrition Examination survey. The Journal of Pain. 2014;15(5):507–15. pmid:24462501
  20. 20. Eggermont LH, Leveille SG, Shi L, Kiely DK, Shmerling RH, Jones RN, et al. Pain characteristics associated with the onset of disability in older adults: the maintenance of balance, independent living, intellect, and zest in the Elderly Boston Study. Journal of the American Geriatrics Society. 2014;62(6):1007–16. pmid:24823985
  21. 21. Gureje O, Kola L, Afolabi E, Olley BO. Determinants of quality of life of elderly Nigerians: results from the Ibadan study of ageing. Afr J Med Med Sci. 2008;37(3):239–47. PMCID: PMC2820711. pmid:18982816
  22. 22. Liu H, Jiao J, Zhu C, Zhu M, Wen X, Jin J, et al. Potential associated factors of functional disability in Chinese older inpatients: a multicenter cross-sectional study. BMC Geriatrics. 2020;20(1):319. pmid:32883253
  23. 23. Peltzer K, Pengpid S. Physical inactivity among older adults with and without functional disabilities in South Africa. African Journal for Physical Activity and Health Sciences (AJPHES). 2020;26(3):252–60.
  24. 24. Wu F, Guo Y, Chatterji S, Zheng Y, Naidoo N, Jiang Y, et al. Common risk factors for chronic non-communicable diseases among older adults in China, Ghana, Mexico, India, Russia and South Africa: the study on global AGEing and adult health (SAGE) wave 1. BMC public health. 2015;15(1):1–13. pmid:25885218
  25. 25. Parahyba MI, Veras R, Melzer D. Incapacidade funcional entre as mulheres idosas no Brasil. Revista de Saúde Pública. 2005;39:383–91. pmid:15997313
  26. 26. Curtis J, White P, McPherson B. Age and physical activity among Canadian women and men: findings from longitudinal national survey data. Journal of Aging and Physical Activity. 2000;8(1):1–19. https://scholars.wlu.ca/kppe_faculty/1.
  27. 27. Sun F, Norman IJ, While AE. Physical activity in older people: a systematic review. BMC Public Health. 2013;13(1):449. http://www.biomedcentral.com/1471-2458/13/449. pmid:23648225
  28. 28. Aro AA, Agbo S, Omole OB. Factors influencing regular physical exercise among the elderly in residential care facilities in a South African health district. African Journal of Primary Health Care and Family Medicine. 2018;10(1):1–6. https://hdl.handle.net/10520/EJC-ef50162b2.
  29. 29. Millán-Calenti JC, Tubío J, Pita-Fernández S, González-Abraldes I, Lorenzo T, Fernández-Arruty T, et al. Prevalence of functional disability in activities of daily living (ADL), instrumental activities of daily living (IADL) and associated factors, as predictors of morbidity and mortality. Archives of Gerontology and Geriatrics. 2010;50(3):306–10. pmid:19520442
  30. 30. Wandera SO, Ntozi J, Kwagala B. Prevalence and correlates of disability among older Ugandans: evidence from the Uganda National Household Survey. Global Health Action. 2014;7(1):25686. pmid:25413721
  31. 31. Kowal P, Chatterji S, Naidoo N, Biritwum R, Fan W, Lopez Ridaura R, et al. Data resource profile: the World Health Organization Study on global AGEing and adult health (SAGE). International Journal of Epidemiology. 2012 Dec 1;41(6):1639–49, pmid:23283715
  32. 32. Charlton K, Ware LJ, Menyanu E, Biritwum RB, Naidoo N, Pieterse C, et al. Leveraging ongoing research to evaluate the health impacts of South Africa’s salt reduction strategy: a prospective nested cohort within the WHO-SAGE multicountry, longitudinal study. BMJ Open. 2016;6(11):e013316. pmid:27903563
  33. 33. World Health Organisation. Measuring health and disability: manual for WHO Disability 326 Assessment Schedule (WHODAS 2.0). Geneva: World Health Organisation; 2010 2012. https://www.who.int/publications/i/item/measuring-health-and-disability-manual-for-who-disability-assessment-schedule-(-whodas-2.0).
  34. 34. Andrews G, Kemp A, Sunderland M, Von Korff M, Ustun TB. Normative data for the 12 item WHO Disability Assessment Schedule 2.0. PloS One. 2009;4(12):e8343. pmid:20020047
  35. 35. Kirchberger I, Braitmayer K, Coenen M, Oberhauser C, Meisinger C. Feasibility and psychometric properties of the German 12-item WHO Disability Assessment Schedule (WHODAS 2.0) in a population-based sample of patients with myocardial infarction from the MONICA/KORA myocardial infarction registry. Population Health Metrics. 2014;12(1):27. http://www.pophealthmetrics.com/content/12/1/27.
  36. 36. Keysor JJ. Does late-life physical activity or exercise prevent or minimize disablement?: a critical review of the scientific evidence. American Journal of Preventive Medicine. 2003;25(3):129–36. pmid:14552936
  37. 37. Netz Y, Wu M-J, Becker BJ, Tenenbaum G. Physical activity and psychological well-being in advanced age: a meta-analysis of intervention studies. Psychology and Aging. 2005;20(2):272. https://psycnet.apa.org/doi/10.1037/0882-7974.20.2.272. pmid:16029091
  38. 38. Ueshima K, Ishikawa-Takata K, Yorifuji T, Suzuki E, Kashima S, Takao S, et al. Physical activity and mortality risk in the Japanese elderly: a cohort study. American Journal of Preventive Medicine. 2010;38(4):410–8. pmid:20307810
  39. 39. Motl RW, McAuley E. Physical activity, disability, and quality of life in older adults. Phys Med Rehabil Clin N Am. 2010;21(2):299–308. pmid:20494278
  40. 40. Makino K, Lee S, Lee S, Bae S, Jung S, Shinkai Y, et al. Daily Physical Activity and Functional Disability Incidence in Community-Dwelling Older Adults with Chronic Pain: A Prospective Cohort Study. Pain Med. 2019;20(9):1702–10. pmid:30561732
  41. 41. Belza B, Walwick J, Schwartz S, LoGerfo J, Shiu-Thornton S, Taylor M. pEER REvIEWED: older Adult perspectives on physical Activity and Exercise: voices From Multiple cultures. Preventing Chronic Disease. 2004;1(4). pmid:15670441.