Evidence map›Paper›PMID 37545908›Full record

ArticleAfrican health sciences2023

The association of anthropometric indices and resistant hypertension among type 2 diabetes: a case study of patients attending Kisii Teaching and Referral Hospital, Kenya.

Mary Mueni Mbithi, Tabitha Wanjau, Gordon Nguka

Abstract read
In one paragraph

Article in African health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Mary Mueni MbithiSchool of Health Sciences, Kisii University, P.O.Box 408-40200, Kisii, Kenya.
Tabitha WanjauSchool of Health Sciences, Kisii University, P.O.Box 408-40200, Kisii, Kenya.
Gordon NgukaSchool of Public Health, Biomedical Sciences and Technology, Masinde Muliro University, Private Bag, Kakamega, Kenya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Resistant hypertension has been identified as common among type 2 diabetics. Importantly, diabetes prevalence has been increasing in the recent past indicating a future rise in the frequency of resistant hypertension. This study determined the association of anthropometric indices as determinants of resistant hypertension compared to conventional hypertension among type 2 diabetes patients attending Kisii teaching and referral hospital (KTRH). A descriptive study design was used where 96 adult cases with type 2 diabetes were consecutively selected into the study, of which 48 had conventional hypertension and the other 48 participants had resistant hypertension for the last one year. Statistical analysis involved Pearson's Chi-Square test analysed categorical variables while binary logistic regression and odds ratio was used to determine the relationship and association of the study variables. The study results indicated that there is an association between Body Mass Index (BMI) (P=0.014) and resistant hypertension among type 2 diabetes patients attending KTRH. However, the Waist-Hip ratio (P=0.393) was not associated with resistant hypertension among type 2 diabetes patients attending Kisii Teaching and Referral Hospital. These results expanded the understanding of risk factors of resistant hypertension among type 2 diabetics. Therefore, this study recommends comprehensive health promotion programs to encourage and promote lifestyle modification.

Indexed as

Diabetes Mellitus, Type 2HypertensionAdultBody Mass IndexHospitals, TeachingHumansKenyaReferral and ConsultationRisk FactorsResistant and conventional hypertensiontype 2 diabetes

Identifiers

PMID37545908
PMCPMC10398505

What Socratic 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 Socratic graph.