Evidence map›Paper›PMID 38865350›Full record

ArticlePLOS global public health2024

Geographical, sex, and socioeconomic differences in non-communicable disease indicators: A cross-sectional survey in Eastern Uganda.

Gulam Muhammed Al Kibria, Ankita Meghani, Charles Ssemagabo, Adaeze Wosu, Tryphena Nareeba, Collins Gyezaho, Edward Galiwango, Judith Kaija Nanyonga, George W Pariyo, Dan Kajungu and 2 more

Abstract read
In one paragraph

Article in PLOS global public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

12 authors.

Gulam Muhammed Al KibriaDepartment of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, United States of America.ORCID https://orcid.org/0000-0002-7037-6658
Ankita MeghaniDepartment of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Charles SsemagaboDepartment of Disease Control and Environmental Health, Makerere University College of Health Sciences, Mulago Hill, Kampala, Uganda.
Adaeze WosuDepartment of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, United States of America.ORCID https://orcid.org/0000-0003-2216-1211
Tryphena NareebaDepartment of Disease Control and Environmental Health, Makerere University College of Health Sciences, Mulago Hill, Kampala, Uganda.ORCID https://orcid.org/0000-0002-6918-7681
Collins GyezahoDepartment of Disease Control and Environmental Health, Makerere University College of Health Sciences, Mulago Hill, Kampala, Uganda.
Edward GaliwangoDepartment of Disease Control and Environmental Health, Makerere University College of Health Sciences, Mulago Hill, Kampala, Uganda.ORCID https://orcid.org/0009-0005-5135-4225
Judith Kaija NanyongaDepartment of Disease Control and Environmental Health, Makerere University College of Health Sciences, Mulago Hill, Kampala, Uganda.
George W PariyoDepartment of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, United States of America.ORCID https://orcid.org/0000-0002-4411-2309
Dan KajunguDepartment of Disease Control and Environmental Health, Makerere University College of Health Sciences, Mulago Hill, Kampala, Uganda.
Elizeus RutebemberwaDepartment of Disease Control and Environmental Health, Makerere University College of Health Sciences, Mulago Hill, Kampala, Uganda.
Dustin G GibsonDepartment of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevalence of non-communicable diseases (NCDs) is increasing in many low- and middle-income countries (LMICs). This study examined differences in the burden of NCDs and their risk factors according to geographic, sex, and sociodemographic characteristics in a rural and peri-urban community in Eastern Uganda. We compared the prevalence by sex, location, wealth, and education. Unadjusted and adjusted prevalence ratios (PR) were reported. Indicators related to tobacco use, alcohol use, salt consumption, fruit/vegetable consumption, physical activity, body weight, and blood pressure were assessed. Among 3220 people (53.3% males, mean age: 35.3 years), the prevalence of NCD burden differed by sex. Men had significantly higher tobacco (e.g., current smoking: 7.6% vs. 0.7%, adjusted PR (APR): 12.8, 95% CI: 7.4-22.3), alcohol use (e.g., current drinker: 11.1% vs. 4.6%, APR: 13.4, 95% CI: 7.9-22.7), and eat processed food high in salt (13.4% vs. 7.1, APR: 1.8, 95% CI: 1.8, 95% CI: 1.4-2.4) than women; however, the prevalence of overweight (23.1% vs 30.7%, APR: 0.7, 95% CI: 0.6-0.9) and obesity (4.1% vs 14.7%, APR: 0.3, 95% CI: 0.2-0.3) was lower among men than women. Comparing locations, peri-urban residents had a higher prevalence of current alcohol drinking, heavy episodic drinking, always/often adding salt while cooking, always eating processed foods high in salt, poor physical activity, obesity, prehypertension, and hypertension than rural residents (p<0.5). When comparing respondents by wealth and education, we found people who have higher wealth or education had a higher prevalence of always/often adding salt while cooking, poor physical activity, and obesity. Although the findings were inconsistent, we observed significant sociodemographic and socioeconomic differences in the burden of many NCDs, including differences in the distributions of behavioral risk factors. Considering the high burden of many risk factors, we recommend appropriate prevention programs and policies to reduce these risk factors' burden and future negative consequences.

Identifiers

PMID38865350
PMCPMC11168612

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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.