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Table 1 Characteristics of included studies

From: Instruments used to assess quality of life of older adults in African countries: a scoping review

  Authors, year Title Country Study design Population, minimum age Setting QoL instrument
1 Xavier Gómez-Olivé et al., 2010 [14] Assessing health and well-being among older people in rural South Africa. South- Africa Secondary data analysis of WHO- SAGE study n = 4085
• Age = > 50 years
Community EUROHIS-QOL-8
2 Wilunda, et al., 2015 [15] Health and ageing in Nairobi’s informal settlements- evidence from the INDEPTH: a cross sectional study Kenya Secondary data analysis of WHO- SAGE and INDEPTH study n = 1878
• Age > 50 years
Community /Slum EUROHIS-QOL-8
3 Kyobutungi, et al., 2010 [16] The health and well-being of older people in Nairobi’s slums Kenya Secondary data analysis on NUHDSS database n = 2072
• Age > 50 years
Slum EUROHIS-QOL-8
4 Xavier Gómez-Olivé et al., 2014 [17] Social conditions and disability related to the mortality of older people in rural South Africa. South- Africa Secondary data analysis of WHO- SAGE study n = 4047
• 75.2% female
• Age > 50 years
Community EUROHIS-QOL-8
5 Xavier Gómez-Olivé et al., 2013 [18] Self-reported health and health care use in an ageing population in the Agincourt sub-district of rural South Africa. South- Africa Secondary data analysis of WHO- SAGE study n = 425
• 66.8% female
• Age > 50 years
Community EUROHIS-QOL-8
6 Mwanyangala, et al., 2010 [19] Health status and quality of life among older adults in rural Tanzania Tanzania Secondary data analysis of SAGE study n = 5131
• Age > 50 years
Community EUROHIS-QOL-8
7 Ralston et al., 2019 [20]. Policy shift: South Africa’s Old Age Pensions’ Influence on Perceived Quality of Life South- Africa Secondary data analysis of SAGE study n = 9341
• Age > 50 year
Community EUROHIS-QOL-8
8 Macia et al., 2015 [21] Exploring Life Satisfaction Among Older Adults in Dakar. Senegal Cross sectional study n = 500
• Age > 50 years
Community SWLS
9 Gureje et al., 2014 [22] Profile and determinants of successful aging in the Ibadan Study of Ageing. Nigeria Secondary data analysis of longitudinal study n = 930
• 38.9% Female
• Age > 65 years
Community SWLS
10 Gutiérrez et al., 2013 [23] Predicting life satisfaction of the Angolan elderly: a structural model. Angola Cross sectional study n = 1003
• 65.4% females
• Age > 60 years
Long-term care facilities SWLS
11 Van Biljon et al., 2015 [24] A partial validation of the WHOQOL-OLD in a sample of older people in South Africa South- Africa Cross sectional study n = 176
• 71.6% female
• Age > 60 years
Long Term Facilities WHOQOL-OLD
12 Akosile et al., 2018 [25] Depression, functional disability and quality of life among Nigerian older adults: Prevalences and relationships. Nigeria Cross sectional study n = 206
• 56.3% female
• Age > 65 years
Community WHOQOL-OLD
13 Mugomeri et al., 2017 [26] Quality of Life of the Elderly Receiving Old Age Pension in Lesotho. Lesotho Cross sectional study n = 385
• Age > 70 years
Community WHOQOL-BREF
14 Gureje et.al 2010 [27] Determinants of quality of life of elderly Nigerians: results from the Ibadan Study of Ageing Nigeria Longitudinal study n = 2175
• Age > 65 years
Community WHOQOL-BREF
15 Akosile et al., 2014 [28] Fear of Falling and Quality of Life of Apparently-Healthy Elderly Individuals from a Nigerian Population Nigeria Cross sectional study n = 261
• 49.8% female
• Age > 65 years
Community SF-36
16 Ogunyemi et al., 2018 [29] Health-Related Quality of Life of the Elderly in Institutional Care and Non-Institutional Care in Southwestern Nigeria: A Comparative Study. Nigeria Cross sectional study n = 360
• Age > 60 years
Community SF-36
17 Younsi, 2015 [30] Health-Related Quality-of-Life Measures: Evidence from Tunisian Population Using the SF-12 Health Survey Tunisia Cross sectional study n = 3864
• 51.9% Female
• Age 18–85 years (50–59: n = 711; 60–74: n = 580; 75–85: 224)
Community SF-12
18 Ramocha et al., 2017 [12] Quality of life and physical activity among older adults living in institutions compared to the community South- Africa Cross sectional study N = 80
• 42.5%
• Age > 60
Community and nursing home RAND-36
  1. EUROHIS-QOL 8-item WHOQOL questionnaire; WHOQOL World Health Organization Quality of Life Scale; SWLS Satisfaction with Life Scale; WHOQOL-OLD World Health Organization Quality of Life Scale- OLD version; WHOQOL-BREF World Health Organization Quality of Life Scale- brief version; SF-36 Short-Form Health Survey-36 item; SF-12 Short-Form Health Survey 12-item; SAGE study Study on global AGEing and adult health; INDEPTH International Network for the continuous Demographic Evaluation of Populations and Their Health in developing countries; NUHDDS longitudinal Nairobi Urban Health and Demographic Surveillance System;