Evidence map›Paper›PMID 31981085›Full record

ArticleHigh blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension2020

Gender Differences in the Pattern of Socio-Demographics Relevant to Metabolic Syndrome Among Kenyan Adults with Central Obesity at a Mission Hospital in Nairobi, Kenya.

Okubatsion Tekeste Okube, Samuel T Kimani, Waithira Mirie

Open access · bronzeAbstract readComparative Study
PubMed Publisher
In one paragraph

Article in High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

6 citing papers in PubMed, 9 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

3 authors at 2 institutions in 1 country.

Okubatsion Tekeste OkubeSchool of Nursing, The Catholic University of Eastern Africa (CUEA), P.O. Box: 62157-00200, Nairobi, Kenya. tokube@cuea.edu.
Samuel T KimaniSchool of Nursing Sciences, University of Nairobi, Nairobi, Kenya.
Waithira MirieSchool of Nursing Sciences, University of Nairobi, Nairobi, Kenya.
University of Nairobi · KECatholic University of Eastern Africa · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMetabolic syndrome (MetS) is a risk factor for cardiovascular-related morbidity and mortality. Although the risk factors for MetS are well documented, differences in gender-based demographics among Kenyan adults with central obesity are lacking.

aimDetermine gender differences in the pattern of socio-demographics relevant to metabolic syndrome among Kenyan adults with central obesity at a mission hospital, Nairobi.

methodsA cross-sectional baseline survey involving adults (N = 404) with central obesity aged 18-64 years, as part of a community-based lifestyle intervention study. Respondents were systematically sampled using the International Diabetes Federation definition for MetS. Lifestyle characteristics, anthropometric, clinical and biochemical markers were measured and analyzed using SPSS.

resultsHigh (87.2%) MetS prevalence associated with advanced age in males (p < 0.001) and females (p = 0.002) was observed. MetS was likely among divorced/separated/widowed (p = 0.021) and high income males (p = 0.002) and females (p = 0.017) with high income. Unemployed males (p = 0.008) and females with tertiary education (p = 0.019) were less likely to have MetS. Advanced age was likely to lead to high blood pressure, fasting blood glucose and triglycerides (p < 0.05). Males were more likely (p = 0.026) to have raised triglycerides, while females (p < 0.001) had low high density lipoproteins.

conclusionA high prevalence of MetS associated with social and gender differences among Kenyan adults with central obesity. These underscore the need to look beyond the behavioral and biological risks and focus on every nuance of gender differences in addressing MetS and CVDs.

Indexed as

Health Status DisparitiesHospitalsLife StyleSocial Determinants of HealthSocioeconomic FactorsAdolescentAdultAgedAge FactorsCross-Sectional StudiesEducational StatusEmploymentFemaleHumansIncomeKenyaAnthropometricBiomarkersGender differenceKenyaMetabolic syndromeSocio-demographic factors

Identifiers

PMID31981085
OpenAlexW3001079540

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.