Evidence map›Paper›PMID 37779666›Full record

ArticleHealth science reports2023

Instrumental variable approach on analyzing risk factors associated with noncommunicable disease prevalence in Tanzania: A nonexperimental design.

Felician A Kitole, Jennifer K Sesabo, Robert M Lihawa

Open access · goldAbstract read
In one paragraph

Article in Health science reports, 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
4.6field-weighted citation impact, top 5% 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

1 citing paper in PubMed, 14 citations in OpenAlex.

  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 at 1 institution in 1 country.

Felician A KitoleDepartment of Economics Mzumbe University Morogoro Tanzania.ORCID 0000-0002-3596-5350
Jennifer K SesaboDepartment of Economics Mzumbe University Morogoro Tanzania.ORCID 0000-0002-8518-9011
Robert M LihawaDepartment of Economics Mzumbe University Morogoro Tanzania.ORCID 0000-0001-5700-6399
Mzumbe University · TZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Noncommunicable diseases (NCDs) have emerged as a substantial burden in developing countries, representing the leading cause of mortality. Addressing this critical issue necessitates effective interventions and policy measures. Therefore, this study aims to investigate the risk factors associated with NCD prevalence in Tanzania. Methods: This study employed a nonexperimental research design due to its ability to analyze secondary data without altering variables. The used data set of the study was sourced from National Panel Survey 2020/21 and Household Budget Survey 2017/18. The econometrics analysis applied in the study include two-stage residual inclusion (2SRI) and control function approach due to their ability to suppress endogeneity and enhance the clarity of results. Results: The findings indicate a significant positive correlation between alcohol consumption (0.4110382, Conclusion: These results accentuate the immediate need for targeted interventions and policy measures to address these risk factors and effectively combat the escalating burden of NCDs in Tanzania and similar contexts. Moreover, the need for improved public awareness campaigns and the promotion of healthy life campaigns are vital in the fight to lower the prevalence of NCDs across communities.

Indexed as

control function approachdisease burdeninstrumental variablenoncommunicable diseases (NCDs)public healthtwo stage residual inclusion

Identifiers

PMID37779666
PMCPMC10539629
OpenAlexW4387184883

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.