Literature DB >> 24384847

Self-reported alcohol intake is a better estimate of 5-year change in blood pressure than biochemical markers in low resource settings: the PURE study.

Mandlenkosi C Zatu1, Johannes M van Rooyen, Du Toit Loots, Edelweiss Wentzel-Viljoen, Minrie Greeff, Aletta E Schutte.   

Abstract

BACKGROUND: Despite criticism of self-reported alcohol intake, it is a valuable tool to screen for alcohol abuse as a risk factor for cardiovascular disease. We aimed to compare various self-reported estimates of alcohol use with γ-glutamyltransferase (GGT) and percentage carbohydrate deficient transferrin (%CDT) considering their relationship with blood pressure changes (%BP) over a 5-year period in black South Africans.
METHOD: We recruited 1994 participants and collected 5-year followed up data (N = 1246). Participants completed questionnaires on alcohol intake indicating their former and current alcohol use ('yes' response and 'no' if alcohol was never used). We assessed alcohol intake (in g) using a quantified food frequency questionnaire. We collected blood samples and measured GGT and %CDT. Brachial BP (bBP) was measured at baseline and follow-up and central BP (cBP) at follow-up only.
RESULTS: Self-reported alcohol intake was significantly associated with the 5-year change in bBP before and after adjusting for confounders (%bSBP: R(2) = 0.263, β = 0.06, P = 0.023; %bDBP: R(2) = 0.326, β = 0.08 P = 0.005), as well as cSBP (R (2)= 0.286, β = 0.09, P = 0.010) and central pulse pressure (R(2) = 0.254, β = 0.06, P = 0.020). GGT and %CDT correlated well with self-reported alcohol intake (r = 0.44; P = 0.001; r = 0.34 P = 0.001), but did not associate significantly with %bBP or cBP at follow-up.
CONCLUSION: Self-reported alcohol use was strongly associated with a 5-year increase in BP in Africans with a low socio-economic status. This was not found for biochemical measures, GGT and %CDT. Self-reported alcohol intake could be an important measure to implement in primary healthcare settings in middle to low income countries, where honest reporting is expected.

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Year:  2014        PMID: 24384847     DOI: 10.1097/HJH.0000000000000093

Source DB:  PubMed          Journal:  J Hypertens        ISSN: 0263-6352            Impact factor:   4.844


  7 in total

1.  Associations between age, cohort, and urbanization with SBP and DBP in China: a population-based study across 18 years.

Authors:  Samantha M Attard; Amy H Herring; Bing Zhang; Shufa Du; Barry M Popkin; Penny Gordon-Larsen
Journal:  J Hypertens       Date:  2015-05       Impact factor: 4.844

2.  Body mass index cut-points to identify cardiometabolic risk in black South Africans.

Authors:  H Salome Kruger; Aletta E Schutte; Corinna M Walsh; Annamarie Kruger; Kirsten L Rennie
Journal:  Eur J Nutr       Date:  2015-10-12       Impact factor: 5.614

3.  High Blood Pressure in Sub-Saharan Africa: The Urgent Imperative for Prevention and Control.

Authors:  Justin B Echouffo-Tcheugui; Andre P Kengne; Sebhat Erqou; Richard S Cooper
Journal:  J Clin Hypertens (Greenwich)       Date:  2015-07-30       Impact factor: 3.738

4.  Associations of blood pressure with common factors among left-behind farmers in rural China: a cross-sectional study using quantile regression analysis.

Authors:  Xingrong Shen; Kaichun Li; Penglai Chen; Rui Feng; Han Liang; Guixian Tong; Jing Chen; Jing Chai; Yong Shi; Shaoyu Xie; Debin Wang
Journal:  Medicine (Baltimore)       Date:  2015-01       Impact factor: 1.889

5.  Psychological distress and the development of hypertension over 5 years in black South Africans.

Authors:  Aletta E Schutte; Lisa J Ware; Hugo W Huisman; Carla M T Fourie; Minrie Greeff; Tumi Khumalo; Marie P Wissing
Journal:  J Clin Hypertens (Greenwich)       Date:  2014-12-15       Impact factor: 3.738

6.  The prevalence of alcohol dependence and its association with hypertension: a population-based cross-sectional study4 in Xuzhou city, China.

Authors:  Ailing Ji; Peian Lou; Zongmei Dong; Chunrong Xu; Pan Zhang; Guiqiu Chang; Ting Li
Journal:  BMC Public Health       Date:  2018-03-16       Impact factor: 3.295

Review 7.  The Effect of Alcohol on Cardiovascular Risk Factors: Is There New Information?

Authors:  Simona Minzer; Ricardo Arturo Losno; Rosa Casas
Journal:  Nutrients       Date:  2020-03-27       Impact factor: 5.717

  7 in total

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