Evidence map›Paper›PMID 20588293›Full record

ArticleEuropean journal of clinical nutrition2010

Dietary patterns associated with hypertension prevalence in the Cameroon defence forces.

A Nkondjock, E Bizome

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Article in European journal of clinical nutrition, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 13% 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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 42 citations in OpenAlex.

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  18. Dietary Patterns and Overweight/Obesity: A Review Article.Iranian journal of public health · 2017
    Review
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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

2 authors at 2 institutions in 1 country.

A NkondjockResearch Center for Military Health, Yaounde, Cameroon. andre.nkondjock@netzero.net
E Bizome
Ministry of Public Health · CMUniversity of Ngaoundéré · CM

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesTo assess the possible role of particular patterns of food consumption in the occurrence of hypertension. SUBJECTS/

methodsA cross-sectional study of 571 members of defence forces was carried out in eight military institutions in Yaounde, Cameroon. Blood pressure was measured with automatic sphygmomanometers simultaneously at both arms. Food consumption data were obtained through a food frequency questionnaire and lifestyle questionnaire was used to ascertain information on physical activity and other risk factors.

resultsTwo dietary patterns were identified. The 'fruit and vegetable' pattern was typified by a high intake of fruits, vegetables, tubers and legumes. The 'meat' pattern was characterized by a high intake of bush meat, poultry and red meat. After adjustment for age, body mass index, rank, vigorous physical activity and total energy intake, the fruit and vegetable pattern was significantly associated with a reduced risk of hypertension (odds ratio (OR)=0.40; 95% confidence interval (CI)=0.20-0.83, P=0.04) when comparing the highest to the lowest quartile of dietary pattern scores. No significant relationship was apparent between the meat pattern and hypertension.

conclusionsOur findings suggest that a diet rich in fruits, vegetables, tubers and legumes may have an important role in regulating blood pressure. More prospective and extensive data are warranted to investigate the magnitude of cardiovascular disease in that specific population.

Indexed as

DietMilitary PersonnelAdultCameroonCross-Sectional StudiesDiet SurveysFabaceaeFeeding BehaviorFemaleFruitHumansHypertensionLife StyleMaleMiddle AgedPrevalence

Identifiers

PMID20588293
OpenAlexW1992610224

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.