Evidence map›Paper›PMID 29388531›Full record

ArticlePublic health nutrition2018

Consumption of processed food dietary patterns in four African populations.

Michelle D Holmes, Shona Dalal, Vikash Sewram, Megan B Diamond, Sally N Adebamowo, Ikeoluwapo O Ajayi, Clement Adebamowo, Faraja S Chiwanga, Marina Njelekela, Carien Laurence and 8 more

Abstract read
In one paragraph

Article in Public health nutrition, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Michelle D Holmes1Department of Epidemiology,Harvard T.H. Chan School of Public Health,Boston,MA,USA.
Shona Dalal1Department of Epidemiology,Harvard T.H. Chan School of Public Health,Boston,MA,USA.
Vikash Sewram3African Cancer Institute,Faculty of Medicine and Health Sciences,Stellenbosch University,Cape Town,South Africa.
Megan B Diamond1Department of Epidemiology,Harvard T.H. Chan School of Public Health,Boston,MA,USA.
Sally N Adebamowo4Center for Research on Genomics and Global Health,National Institutes of Health,Bethesda,MD,USA.
Ikeoluwapo O Ajayi6Department of Epidemiology and Medical Statistics,Faculty of Public Health,College of Medicine,University of Ibadan,Ibadan,Nigeria.
Clement Adebamowo7Institute of Human Virology,Abuja,Nigeria.
Faraja S Chiwanga9Department of Internal Medicine,Muhimbili National Hospital,Dar es Salaam,Tanzania.
Marina Njelekela10Department of Physiology,Muhimbili University of Health and Allied Sciences,Dar es Salaam,Tanzania.
Carien Laurence11Centre for Evidence-Based Health Care,Faculty of Medicine and Health Sciences,Stellenbosch University,Cape Town,South Africa.
Jimmy Volmink11Centre for Evidence-Based Health Care,Faculty of Medicine and Health Sciences,Stellenbosch University,Cape Town,South Africa.
Francis Bajunirwe13Department of Community Health,Mbarara University of Science and Technology,Mbarara,Uganda.
Joan Nankya-Mutyoba14Department of Epidemiology & Biostatistics,Makerere School of Public Health,Kampala,Uganda.
David Guwatudde14Department of Epidemiology & Biostatistics,Makerere School of Public Health,Kampala,Uganda.
Todd G Reid15Center for Assessment Technology and Continuous Health,Massachusetts General Hospital,Boston,MA,USA.
Walter C Willett1Department of Epidemiology,Harvard T.H. Chan School of Public Health,Boston,MA,USA.
Hans-Olov Adami1Department of Epidemiology,Harvard T.H. Chan School of Public Health,Boston,MA,USA.
Teresa T Fung5Department of Nutrition,Harvard T.H. Chan School of Public Health,Boston,MA,USA.ORCID 0000-0002-0159-482X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify predominant dietary patterns in four African populations and examine their association with obesity.

designCross-sectional study.Setting/SubjectsWe used data from the Africa/Harvard School of Public Health Partnership for Cohort Research and Training (PaCT) pilot study established to investigate the feasibility of a multi-country longitudinal study of non-communicable chronic disease in sub-Saharan Africa. We applied principal component analysis to dietary intake data collected from an FFQ developed for PaCT to ascertain dietary patterns in Tanzania, South Africa, and peri-urban and rural Uganda. The sample consisted of 444 women and 294 men.

resultsWe identified two dietary patterns: the Mixed Diet pattern characterized by high intakes of unprocessed foods such as vegetables and fresh fish, but also cold cuts and refined grains; and the Processed Diet pattern characterized by high intakes of salad dressing, cold cuts and sweets. Women in the highest tertile of the Processed Diet pattern score were 3·00 times more likely to be overweight (95 % CI 1·66, 5·45; prevalence=74 %) and 4·24 times more likely to be obese (95 % CI 2·23, 8·05; prevalence=44 %) than women in this pattern's lowest tertile (both P<0·0001; prevalence=47 and 14 %, respectively). We found similarly strong associations in men. There was no association between the Mixed Diet pattern and overweight or obesity.

conclusionsWe identified two major dietary patterns in several African populations, a Mixed Diet pattern and a Processed Diet pattern. The Processed Diet pattern was associated with obesity.

Indexed as

AdultAfrica South of the SaharaCross-Sectional StudiesDietFast FoodsFeeding BehaviorFemaleHumansMaleMiddle AgedDietary patternsOverweight and obesityProcessed foodsSub-Saharan Africa

Identifiers

PMID29388531
PMCPMC10261518

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.