Evidence map›Paper›PMID 33439869›Full record

ArticlePloS one2021

Association between dietary diversity with overweight and obesity: A cross-sectional study conducted among pastoralists in Monduli District in Tanzania.

Ahmed Gharib Khamis, Julius Edward Ntwenya, Mbazi Senkoro, Sayoki Godfrey Mfinanga, Katharina Kreppel, Akwilina Wendelin Mwanri, Bassirou Bonfoh, Gideon Kwesigabo

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.5field-weighted citation impact, top 5% of its field
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

14 citing papers in PubMed, 32 citations in OpenAlex.

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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

8 authors at 6 institutions in 2 countries.

Ahmed Gharib KhamisDepartment of Epidemiology and Biostatistics, Muhimbili University of Health and Allied Sciences, Dar-es-Salaam, Tanzania.ORCID 0000-0002-1689-8930
Julius Edward NtwenyaDepartment of Public Health, The University of Dodoma, Dodoma, Tanzania.
Mbazi SenkoroNational Institute for Medical Research, Muhimbili Centre, Dar-es-Salaam, Tanzania.
Sayoki Godfrey MfinangaNational Institute for Medical Research, Muhimbili Centre, Dar-es-Salaam, Tanzania.ORCID 0000-0001-9067-2684
Katharina KreppelSchool of Life Sciences and Bio-Engineering, Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania.
Akwilina Wendelin MwanriDepartment of Food Technology, Nutrition and Consumer Sciences, Sokoine University of Agriculture, Morogoro, Tanzania.
Bassirou BonfohCentre Suisse de Recherches Scientifiques en Côte d'Ivoire, Abidjan, Côte d'Ivoire.
Gideon KwesigaboDepartment of Epidemiology and Biostatistics, Muhimbili University of Health and Allied Sciences, Dar-es-Salaam, Tanzania.
Muhimbili University of Health and Allied Sciences · TZNational Institute for Medical Research · TZIfakara Health Institute · TZSokoine University of Agriculture · TZSwiss Centre for Scientific Research · CIThe University of Dodoma · TZ

Funding

EPA EP-C-15-008Wellcome TrustWellcome Trust 107753/A/15/Z
6 · The paper itself

Abstract

backgroundThe prevalence of overweight and obesity is rising at a rapid pace and is associated with negative health consequences like cardiovascular diseases, type 2 diabetes and cancer. Obesity is a multifactorial problem that develops mainly from lifestyle factors including physical inactivity and poor dietary intake. Dietary diversity is a simplified method for assessing the adequacy and quality of diet and is associated with nutritional need and overall health status. Therefore, we conducted this study to synthesize the associations between consumption of a diversified diet and overweight/ obesity among adults living in pastoral communities in Monduli district in Tanzania.

methodsThis was a cross-sectional study conducted among 510 adults aged ≥ 18 years old in the Monduli district, Arusha region in Tanzania. We conducted face-to-face interviews to collect information about socio-demographic characteristics, 24-hours dietary recall, and anthropometric measurements. The dietary diversity score (DDS) was constructed and used to determine the diversity of the diet consumed. We performed the multivariate Poisson regressions to determine the prevalence ratio (PR) with 95% confidence intervals (CI). The dependent variables were overweight and general obesity as measured by body mass index (BMI), abdominal obesity measured by waist-hip ratio (WHR) and waist circumference (WC).

resultsThe prevalence of general obesity based on BMI was 20.2% (95%CI; 16.9-23.9), abdominal obesity based on WHR was 37.8% (95%CI; 33.7-42.1), and WC was 29.1% (95%CI; 25.2-33.1). More than half (54.3%) of the participants consumed an adequate dietary diversity (DDS ≥4). After adjustment for potential confounders, the prevalence of abdominal obesity by WHR decreased with higher DDS among male (APR = 0.42; 95% CI, 0.22-0.77) and female participants (APR = 0.63; 95% CI, 0.41-0.94). There were inconsistent positive associations between DDS and prevalence of overweight and general obesity among male and female. There was no association between DDS and abdominal obesity by WC.

conclusionMore than half of the pastoralists have consumed an adequate diversified diet. Given the inconsistent findings on associations between dietary diversity and obesity measures, this study suggests that targeting dietary diversity as an overweight/obesity prevention strategy requires careful consideration.

Indexed as

DietAdolescentAdultBody Mass IndexCross-Sectional StudiesFemaleHumansMaleMiddle AgedObesityOverweightPrevalenceTanzaniaWaist CircumferenceWaist-Hip RatioYoung Adult

Identifiers

PMID33439869
PMCPMC7806168
OpenAlexW3118519083

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.