Evidence map›Paper›PMID 32977566›Full record

ArticleInternational journal of environmental research and public health2020

Prevalence and Risk Factors of Elevated Blood Pressure and Elevated Blood Glucose among Residents of Kajiado County, Kenya: A Population-Based Cross-Sectional Survey.

Anita Nyaboke Ongosi, Calistus Wilunda, Patou Masika Musumari, Teeranee Techasrivichien, Chia-Wen Wang, Masako Ono-Kihara, Charlotte Serrem, Masahiro Kihara, Takeo Nakayama

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
1.0field-weighted citation impact, top 22% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. 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

9 authors at 4 institutions in 3 countries.

Anita Nyaboke OngosiDepartment of Health Informatics, Kyoto University School of Public Health, Yoshida Konoe-cho, Sakyo-Ku, Kyoto 606-8501, Japan.ORCID 0000-0003-3160-5689
Calistus WilundaAfrican Population and Health Research Centre, Manga Close, Nairobi P.O. Box 10787-00100, Kenya.ORCID 0000-0002-6606-6534
Patou Masika MusumariInterdisciplinary Unit for Global Health, Centre for the Promotion of Interdisciplinary Education and Research, Kyoto University, Yoshida hon-machi, Sakyo-ku, Kyoto 606-8501, Japan.
Teeranee TechasrivichienInterdisciplinary Unit for Global Health, Centre for the Promotion of Interdisciplinary Education and Research, Kyoto University, Yoshida hon-machi, Sakyo-ku, Kyoto 606-8501, Japan.
Chia-Wen WangPopulation Health Research Centre, College of Public Health, National Taiwan University, Taipei 100, Taiwan.ORCID 0000-0002-5020-6395
Masako Ono-KiharaInterdisciplinary Unit for Global Health, Centre for the Promotion of Interdisciplinary Education and Research, Kyoto University, Yoshida hon-machi, Sakyo-ku, Kyoto 606-8501, Japan.
Charlotte SerremDepartment of Consumer Science, School of Agriculture and Biotechnology, University of Eldoret, Eldoret P.O. Box 1125-30100, Kenya.ORCID 0000-0003-0158-9876
Masahiro KiharaInterdisciplinary Unit for Global Health, Centre for the Promotion of Interdisciplinary Education and Research, Kyoto University, Yoshida hon-machi, Sakyo-ku, Kyoto 606-8501, Japan.
Takeo NakayamaDepartment of Health Informatics, Kyoto University School of Public Health, Yoshida Konoe-cho, Sakyo-Ku, Kyoto 606-8501, Japan.
Kyoto University · JPAfrican Population and Health Research Center · KENational Taiwan University · TWUniversity of Eldoret · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Kenya is experiencing a rising burden of non-communicable diseases (NCDs), yet data to inform effective interventions are limited. We investigated the prevalence of elevated blood pressure, elevated blood glucose and their determinants in a rapidly urbanizing area in Kenya. Data on socio-demographics, dietary and behavioural risk factors, anthropometric measurements, blood pressure, blood glucose, plasma lipids and urinary biomarkers were collected from 221 men and 372 women (25-64 years). Multivariable logistic regression models assessed correlates of elevated blood pressure (EBP) and elevated blood glucose (EBG). Participants' mean age was 38.0. ± 11.1 years. The prevalence rates of pre-hypertension and hypertension were 49.0% and 31.6% in men and 43.7% and 20.1% in women, respectively, while those of pre-diabetes and diabetes were 8.4% and 8.0% in men and 11.6% and 7.4% in women, respectively. The prevalence of Body Mass Index (BMI) ≥ 25 kg/m

Indexed as

Blood GlucoseAdultBlood PressureCross-Sectional StudiesDiabetes MellitusFemaleHumansHypertensionKenyaMaleMiddle AgedPrediabetic StatePrehypertensionPrevalenceRisk FactorsBlood GlucosediabeteselevatedgenderhypertensionKajiadopre-diabetespre-hypertensionprevalencerisksex

Identifiers

PMID32977566
PMCPMC7579460
OpenAlexW3088938992

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.