Selected socio-economic indicators by provinces, South Africa.

<p>Sources: Stats SA (<a href="http://www.statssa.gov.za" target="_blank">www.statssa.gov.za</a>), *SAPS (<a href="http://www.saps.gov.za" target="_blank">www.saps.gov.za</a>).</p

Multilevel regression analysis of factors associated with self-rated health, by province (adjusted odds ratios).

***<p>p<0.01, ** p<0.05, * p<0.1, ^#none of the communities in this province were in the lowest deprivation rank.</p

Descriptive statistics of variables used in the analysis.

<p>Descriptive statistics of variables used in the analysis.</p

Self-rated health and social capital measurements by province.

<p>SD = Standard deviation.</p

MOESM1 of Economic evaluations of interventions to reduce neonatal morbidity and mortality: a review of the evidence in LMICs and its implications for South Africa

Additional file 1: Database searches

Lanthelme [i.e. Lantelme]. Nouveautés. Adam et Eve : [photographie, tirage de démonstration] / [Atelier Nadar]

Components of direct and indirect costs for diabetes mellitus and reflecting cost. (DOCX 52 kb

Base case results for total commodity (number of units) requirements for each contraceptive method per year.

<p>CPR = Contraceptive prevalence rate. IUD = Intrauterine device. Figures rounded to the nearest 100.</p><p>Base case results for total commodity (number of units) requirements for each contraceptive method per year.</p

Total annual costs (2012 US$) of family planning projected by the model.

<p>Total annual costs (2012 US$) of family planning projected by the model.</p

Interactions between significantly identified factors by gender (0 = No, 1 = Yes for each factor) and observed prevalence of obesity (secondary axis).

<p>Interactions between significantly identified factors by gender (0 = No, 1 = Yes for each factor) and observed prevalence of obesity (secondary axis).</p

trends in BMI and obesity prevalence by gender and period.

<p>trends in BMI and obesity prevalence by gender and period.</p