2022
DOI: 10.7196/samj.2022.v112i8b.16486
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Estimating the burden of disease attributable to a diet low in fruit and vegetables in South Africa for 2000, 2006 and 2012

Abstract: Background. Low intake of fruit and vegetables is associated with an increased risk of various non-communicable diseases, including major causes of death and disability such as cardiovascular disease, diabetes mellitus and cancers. Diets low in fruit and vegetables are prevalent in the South African (SA) population, and average intake is well below the internationally recommended threshold. Objectives. To estimate the burden of disease attributable to a diet low in fruit and v… Show more

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Cited by 4 publications
(5 citation statements)
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“…To address these limitations, for the majority of risk factors (high systolic blood pressure, tobacco smoking, high fasting plasma glucose, alcohol use, high BMI, low fruit and vegetable intake, high LDL cholesterol, high sodium intake, iron deficiency) we adopted a meta-regression approach to the estimation of the parameters of the exposure distribution within each subgroup (age, sex and, for some risk factors, population group, province or urban/rural). [19][20][21][22][23][24][25][26][27] The modelling and estimation details varied across risk factorsdepending on the characteristics of the exposure and the available data -but in all cases the procedure involved two separate steps. In the first step, we used all available microdata and applied standard estimation methods (weighted estimators with robust standard error) to recover age, sex and survey-specific estimates of the parameters of interest (e.g.…”
Section: Estimation Of Exposure Levelsmentioning
confidence: 99%
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“…To address these limitations, for the majority of risk factors (high systolic blood pressure, tobacco smoking, high fasting plasma glucose, alcohol use, high BMI, low fruit and vegetable intake, high LDL cholesterol, high sodium intake, iron deficiency) we adopted a meta-regression approach to the estimation of the parameters of the exposure distribution within each subgroup (age, sex and, for some risk factors, population group, province or urban/rural). [19][20][21][22][23][24][25][26][27] The modelling and estimation details varied across risk factorsdepending on the characteristics of the exposure and the available data -but in all cases the procedure involved two separate steps. In the first step, we used all available microdata and applied standard estimation methods (weighted estimators with robust standard error) to recover age, sex and survey-specific estimates of the parameters of interest (e.g.…”
Section: Estimation Of Exposure Levelsmentioning
confidence: 99%
“…The detailed evaluation of each risk factor and the quantification of the resultant attributable burden [19][20][21][22][23][24][25][26][27][31][32][33][34][35][36] revealed insights into trends. Key observations for each risk factor are summarised in Table 3.…”
Section: Researchmentioning
confidence: 99%
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“…The Food and Agriculture Organization (FAO) of the United Nations [5] says that up to 3.9 million lives could be saved each year if the consumption of fruit and vegetables were sufficient. It is estimated that the lack of fruit and vegetables in the human diet or their low consumption may lead to an increased risk of chronic diseases, metabolic deterioration, as well as regulatory and digestive problems [6][7][8][9][10][11][12][13][14]. The reasons for this phenomenon include unsustainable consumer behaviour, lack of sufficient knowledge about the benefits of fruit and vegetable consumption [15][16][17][18], perception of fruit as luxury goods [5], and price movements for this category of products (changes dictated by, for example, weather conditions or economic crises) [19][20][21][22][23].…”
Section: Introductionmentioning
confidence: 99%