Literature DB >> 23952977

The use of predefined diet quality scores in the context of CVD risk during urbanization in the South African Prospective Urban and Rural Epidemiological (PURE) study.

Robin C Dolman1, Edelweiss Wentzel-Viljoen1, Johann C Jerling1, Edith Jm Feskens2, Annamarie Kruger3, Marlien Pieters1.   

Abstract

OBJECTIVE: Urbanization is generally associated with increased CVD risk and accompanying dietary changes. Little is known regarding the association between increased CVD risk and dietary changes using approaches such as diet quality. The relevance of predefined diet quality scores (DQS) in non-Western developing countries has not yet been established.
DESIGN: The association between dietary intakes and CVD risk factors was investigated using two DQS, adapted to the black South African diet. Dietary intake data were collected using a quantitative FFQ. CVD risk was determined by analysing known CVD risk factors.
SETTING: Urban and rural areas in North West Province, South Africa.
SUBJECTS: Apparently healthy volunteers from the South African Prospective Urban and Rural Epidemiological (PURE) study population (n 1710).
RESULTS: CVD risk factors were significantly increased in the urban participants, especially women. Urban men and women had significantly higher intakes of both macro- and micronutrients with macronutrient intakes well within the recommended CVD guidelines. While micronutrient intakes were generally higher in the urban groups than in the rural groups, intakes of selected micronutrients were low in both groups. Both DQS indicated improved diet quality in the urban groups and good agreement was shown between the scores, although they seemed to measure different aspects of diet quality.
CONCLUSIONS: The apparent paradox between improved diet quality and increased CVD risk in the urban groups can be explained when interpreting the cut-offs used in the scores against the absolute intakes of individual nutrients. Predefined DQS as well as current guidelines for CVD prevention should be interpreted with caution in non-Western developing countries.

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Year:  2013        PMID: 23952977     DOI: 10.1017/S1368980013002206

Source DB:  PubMed          Journal:  Public Health Nutr        ISSN: 1368-9800            Impact factor:   4.022


  5 in total

Review 1.  A Review of Dietary Surveys in the Adult South African Population from 2000 to 2015.

Authors:  Zandile J Mchiza; Nelia P Steyn; Jillian Hill; Annamarie Kruger; Hettie Schönfeldt; Johanna Nel; Edelweiss Wentzel-Viljoen
Journal:  Nutrients       Date:  2015-09-23       Impact factor: 5.717

2.  Interactions between C-reactive protein genotypes with markers of nutritional status in relation to inflammation.

Authors:  Cornelie Nienaber-Rousseau; Bianca Swanepoel; Robin C Dolman; Marlien Pieters; Karin R Conradie; G Wayne Towers
Journal:  Nutrients       Date:  2014-11-11       Impact factor: 5.717

3.  Ideal cardiovascular health among Ghanaian populations in three European countries and rural and urban Ghana: the RODAM study.

Authors:  Benjamin van Nieuwenhuizen; Mohammad Hadi Zafarmand; Erik Beune; Karlijn Meeks; Ama de-Graft Aikins; Juliet Addo; Ellis Owusu-Dabo; Frank P Mockenhaupt; Silver Bahendeka; Matthias B Schulze; Ina Danquah; Joachim Spranger; Kerstin Klipstein-Grobusch; Lambert Tetteh Appiah; Liam Smeeth; Karien Stronks; Charles Agyemang
Journal:  Intern Emerg Med       Date:  2018-04-17       Impact factor: 3.397

Review 4.  Micronutrient Status and Dietary Intake of Iron, Vitamin A, Iodine, Folate and Zinc in Women of Reproductive Age and Pregnant Women in Ethiopia, Kenya, Nigeria and South Africa: A Systematic Review of Data from 2005 to 2015.

Authors:  Rajwinder Harika; Mieke Faber; Folake Samuel; Judith Kimiywe; Afework Mulugeta; Ans Eilander
Journal:  Nutrients       Date:  2017-10-05       Impact factor: 5.717

5.  Associations of Education With Overall Diet Quality Are Explained by Different Food Groups in Middle-aged and Old Japanese Women.

Authors:  Ayumi Hashimoto; Kentaro Murakami; Satomi Kobayashi; Hitomi Suga; Satoshi Sasaki
Journal:  J Epidemiol       Date:  2020-05-16       Impact factor: 3.211

  5 in total

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