2013
DOI: 10.1016/j.ehb.2013.05.004
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In urban South Africa, 16 year old adolescents experience greater health equality than children

Abstract: Highlights•Health inequalities reduce in adolescence compared to childhood in South Africa.•Biological & socio-economic status factors should be considered to understand change in inequality.•Obesity prevention in South Africa should target girls whose mothers have a high BMI.

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Cited by 17 publications
(19 citation statements)
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“…The pattern of increased risk in lower SEP groups, apparent in middle-income countries, is evident here ( 10 , 12 14 , 17 ) . The neighbourhood variables have been used previously in this cohort, relating SEP to anthropometric measures at 16 years ( 36 ) . This previous study found no neighbourhood SEP effect on anthropometric outcomes (although underweight was not investigated).…”
Section: Discussionmentioning
confidence: 99%
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“…The pattern of increased risk in lower SEP groups, apparent in middle-income countries, is evident here ( 10 , 12 14 , 17 ) . The neighbourhood variables have been used previously in this cohort, relating SEP to anthropometric measures at 16 years ( 36 ) . This previous study found no neighbourhood SEP effect on anthropometric outcomes (although underweight was not investigated).…”
Section: Discussionmentioning
confidence: 99%
“…Despite growing evidence of the importance of an ecological approach to understanding nutritional outcomes in high-income countries, there has been little research using this approach to study adolescent nutrition in LMIC. Previous research conducted in South African adolescents aged 16 years focused on the relationship between household/neighbourhood SEP and anthropometric outcomes such as BMI, overweight/obesity, fat mass and lean mass ( 36 ) . However, the prevalence of underweight was not investigated and thus the dual burden of malnutrition was not studied.…”
mentioning
confidence: 99%
“…Household socio‐economic status was assessed using an asset index which scored each participant according to the number of assets that they possessed out of a possible 11 (electricity, radio, television, refrigerator, mobile phone, personal computer, bicycle, motorcycle/scooter, car, agricultural land, and farm animals). This was based on standard measures used in the Demographic and Health Surveys household questionnaire (available at http://www.measuredhs.com) and has been extensively utilised in this setting (Griffiths, Johnson, Cameron, Pettifor, & Norris, ; Kagura et al, ).…”
Section: Methodsmentioning
confidence: 99%
“…Household socio-economic status was assessed using an asset index which scored each participant according to the number of assets that they possessed out of a possible 11 (electricity, radio, television, and has been extensively utilised in this setting (Griffiths, Johnson, Cameron, Pettifor, & Norris, 2013;Kagura et al, 2016).…”
Section: According To South Africa's National Prevention Of Mother-tomentioning
confidence: 99%
“…Household socio-economic status (SES) was assessed using an asset index, which scored each participant according to the number of assets that they possessed out of a possible nine (electricity, radio, television, refrigerator, mobile phone, personal computer, bicycle, motorcycle/scooter, car). This was based on standard measures used in the Demographic and Health Surveys household questionnaire (available at: www.measuredhs.com) and has been extensively used in this setting (18,19) . Asset index scores were subsequently grouped into low (<5), medium (5-7) and high (>7) SES categories.…”
Section: Maternal Variablesmentioning
confidence: 99%