Evidence map›Paper›PMID 37972096›Full record

ArticlePloS one2023

Measuring the relationship between body mass index and depression among Saudi adult population: A nationwide cross-sectional study.

Mohamed O Nour, Tamara Abdulrahman Hafiz, Khulud K Alharbi

Open access · goldAbstract read
In one paragraph

Article in PloS one, 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
0.9field-weighted citation impact, top 23% 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, 3 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 2 institutions in 2 countries.

Mohamed O NourDepartment of Health Promotion and Education, Faculty of Public Health & Health Informatics, Umm Al-Qura University, Makkah, Kingdom of Saudi Arabia.ORCID 0000-0002-5741-8913
Tamara Abdulrahman HafizDepartment of Health Promotion and Education, Faculty of Public Health & Health Informatics, Umm Al-Qura University, Makkah, Kingdom of Saudi Arabia.
Khulud K AlharbiDepartment of Health Services Management, Faculty of Public Health & Health Informatics, Umm Al-Qura University, Makkah, Kingdom of Saudi Arabia.ORCID 0000-0001-6245-7880
Umm al-Qura University · SAAl-Azhar University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prevalence of obesity and depression shows an accelerating trend with increased risk of morbidity and disability. The exact underlying relationship between them is unclear. We aimed to evaluate the prevalence of body mass index (BMI) and depression and their associations in a large sample of Saudi adults.

methodsWe administered a nationwide cross-sectional web-based survey using a snowball sampling method among Saudi adults aged 18-60 years. We used a validated Arabic version of Beck's Depression Inventory-II (BDI-II) for depression assessment. We classified BMI into underweight, normal weight, overweight, and obesity. We used logistic regression analysis to determine the factors associated with depression.

resultsAmong 4,683 Saudi adults, different grades of depression were present in 43.3%, most (25.2%) with a mild condition. Overweight and obesity were present in 26.4% and 21%, respectively. We found a positive association between BMI and BDI-II score (ρ = 0.14, p = 0.006). BMI was significantly higher among those who were older, males, married, living in the Eastern region of Saudi Arabia, educated at a pre-university level, employed, at high family-income levels, smokers, and people with chronic diseases. Depression score was significantly higher among married, non-employees, non-smokers, people with chronic diseases, and those with BMI ≥ 25 kg/m2. Non-smoking, presence of chronic diseases, and being overweight or obese were significantly associated with depression.

conclusionsSaudi adults were suffering from different grades of depression, overweight, and obesity. A positive association between BMI and BDI-II score was observed. Depression score did not differ by age, sex, geographical region, educational level, or family income. Non-smoking, presence of chronic diseases, and being overweight or obese were significantly associated with depression. Further longitudinal research is required to understand the factors underpinning causal relationships between BMI and depression, the subgroups' variation, and mediating strategies.

Indexed as

DepressionOverweightAdultBody Mass IndexChronic DiseaseCross-Sectional StudiesHumansMaleObesityPrevalenceSaudi Arabia

Identifiers

PMID37972096
PMCPMC10653455
OpenAlexW4388728305

What OpenQuestion holds

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LicenceCC BY
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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.