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Table 1 A description of key variables used in the analysis

From: Overweight and obesity in non-pregnant women of childbearing age in South Africa: subgroup regression analyses of survey data from 1998 to 2017

Variable

Definition

Overweight

A body mass index (BMI) ≥ 25 kg/m2 [52]

Obesity

A BMI ≥ 30 kg/m2 [52]

Age category 1

A woman aged between 15 years and 24 years

Age category 2

A woman aged between 25 years and 34 years

Age category 3

A woman aged between 35 years and 49 years

Black African1

Women self-identified as black African race

Non-black African

Women self-identified as white, coloured and Asian race

No schooling/primary education3

A dummy variable for a woman with no education or only primary education

Secondary education

A dummy variable for a woman with secondary education

Tertiary education4

A dummy variable for a woman with tertiary education

Rural

A woman residing in a rural location

Urban

A woman residing in an urban location

Quintiles of socioeconomic status5

Quintile 1 = 1 if a woman is in the poorest socioeconomic group; 0 otherwise

Quintile 2 = 1 if a woman is in the second poorest socioeconomic group; 0 otherwise

Quintile 3 = 1 if a woman is in the middle socioeconomic group; 0 otherwise

Quintile 4 = 1 if a woman is in the second richest socioeconomic group; 0 otherwise

Quintile 5 = 1 if a woman is in the richest socioeconomic group; 0 otherwise

Current smoking status

No = 0 if woman does not currently smoke tobacco including cigarettes

Yes = 1 if woman currently smokes tobacco including cigarettes

  1. Notes1:The self-identified black race group dominates in South Africa with previous studies reporting the existence of racial disparities for obesity and overweight [53]; 3No schooling and primary education are combined due to small numbers4; Tertiary education refers to education attained post-secondary school. This includes certificates, diplomas, bachelors, master’s and doctoral degrees5;Quintiles of socioeconomic status are based on household expenditure per capita for the NIDS datasets and household wealth index for the SADHS datasets