Skip to main content

Table 1 Study design and population characteristics of included population health surveys

From: Sociodemographic inequities associated with participation in leisure-time physical activity in sub-Saharan Africa: an individual participant data meta-analysis

Study (reference)

Study period

Geographical scope

Sample sizea

(N)

Income group

HDI

GDP per capita (US$)

Urban population (%)

DRC [13]

2005

Subnational

1502

Low

0.364

218.5

37.5

Guinea [14]

2009

Subnational

2125

Low

0.380

615.1

34.4

Togo [21]

2010

National

2051

Low

0.457

487.9

37.5

Liberia [16]

2011

National

2206

Low

0.416

379.7

48.2

Zanzibar [20]

2011

Subnational

2640

Low

0.504

733.4

28.8

Tanzania [19]

2012

National

5525

Low

0.513

820.2

29.5

Seychelles [17]

2013

National

1232

Upper-middle

0.766

14,764.9

53.2

South Africa [18]

2013

Subnational

1014

Upper-middle

0.660

6822.5

63.8

Uganda [22]

2014

National

3543

Low

0.488

702.8

15.8

Kenya [15]

2015

National

4184

Low-middle

0.555

1355.0

25.6

  1. DRC Democratic Republic of Congo, Income group World Bank income group, HDI Human Development Index, GDP per capita Global domestic product per capita, Urban population: Percentage of the total population living in urban areas.
  2. World Bank income group, HDI, GDP per capita and urban population data relates to year of study [30,31,32,33], Zanzibar taken from data reported for Tanzania in 2011 as no regional specific data was available.
  3. aSample size is the sample size after data cleaning was completed and those with no or invalid information on variables of interest removed