Evidence map›Paper›PMID 31425539›Full record

ArticlePloS one2019

Social determinants of hypertension and type-2 diabetes in Kenya: A latent class analysis of a nationally representative sample.

Rahma S Mkuu, Tamika D Gilreath, Caroline Wekullo, Gabriela A Reyes, Idethia S Harvey

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–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

11 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
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

5 authors.

Rahma S MkuuTransdisciplinary Center for Health Equity Research, Department of Health & Kinesiology, Texas A&M University, College Station, Texas, United States of America.ORCID 0000-0001-7921-1430
Tamika D GilreathTransdisciplinary Center for Health Equity Research, Department of Health & Kinesiology, Texas A&M University, College Station, Texas, United States of America.
Caroline WekulloPost Graduate Studies, Masinde Muliro University of Science and Technology, Kakamega, Kenya.
Gabriela A ReyesColorado School of Public Health, Colorado University, Denver-Anschutz Medical Campus, Denver, Colorado, United States of America.
Idethia S HarveyTransdisciplinary Center for Health Equity Research, Department of Health & Kinesiology, Texas A&M University, College Station, Texas, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCardiovascular disease is among the leading causes of death in Kenya and type II diabetes (T2D) is a growing chronic health concern in the country. However, a gap exists in examining how demographic and social characteristics coalesce to identify individuals at high risk for hypertension and/or T2D in Kenya. The current study examined demographic typologies associated with self-report diagnoses.

methodsNationally representative cross-sectional study using 43,898 individuals from the Kenya Demographic and Health Survey 2014. Main Outcome Measures were self-reported Hypertension and Type 2 Diabetes diagnosis. Descriptive analyses were conducted using STATA 14. Latent class analysis (LCA) was conducted using Mplus 7.4.

resultsApproximately 5% reported hypertension and 1% reported T2D. Latent class analysis suggested a 4-class solution. The class with the highest likelihood to report previous diagnosis of hypertension (10.4%), consisted of high proportion of married adult women. The second highest prevalence of previous diagnosis of hypertension (4.4%) consisted of a high proportion of married middle aged men with high probability of being smokers. The results suggest that Kenyan women over 30 years may be at increased risk of hypertension compared to men. Future studies should include additional socio-demographic and behavioral characteristics to better understand gender differences in correlates for hypertension to be used for targeted and tailored health promotion-interventions.

Indexed as

AdolescentAdultCross-Sectional StudiesDiabetes Mellitus, Type 2FemaleHealth SurveysHumansHypertensionKenyaLatent Class AnalysisMaleMarriageMiddle AgedPrevalenceRisk FactorsSelf Report

Identifiers

PMID31425539
PMCPMC6699668

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.