Evidence map›Paper›PMID 41477169›Full record

ArticleQatar medical journal2025

Obesity and cholesterol: A cross-sectional analysis of Qatar Biobank data.

Nada Arar, Nasra Ayon, Rodaina Hashem, Nour Alhussaini, Manar E Abdel-Rahman

Abstract read
In one paragraph

Article in Qatar medical journal, 2025. 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

5 authors.

Nada ArarDepartment of Public Health, College of Health Sciences, QU Health, Qatar University, Doha, Qatar *Email: melhassan@qu.edu.qa.
Nasra AyonDepartment of Public Health, College of Health Sciences, QU Health, Qatar University, Doha, Qatar *Email: melhassan@qu.edu.qa.
Rodaina HashemDepartment of Public Health, College of Health Sciences, QU Health, Qatar University, Doha, Qatar *Email: melhassan@qu.edu.qa.
Nour AlhussainiDepartment of Public Health, College of Health Sciences, QU Health, Qatar University, Doha, Qatar *Email: melhassan@qu.edu.qa.
Manar E Abdel-RahmanDepartment of Public Health, College of Health Sciences, QU Health, Qatar University, Doha, Qatar *Email: melhassan@qu.edu.qa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cardiovascular disease (CVD) remains a major health concern in Qatar, with ischemic heart disease being the leading cause of mortality. Suboptimal cholesterol levels represent a major risk factor for CVD. Suboptimal cholesterol levels are highly prevalent among adults worldwide, including in the Middle East and North Africa region. Obesity, a major risk factor for suboptimal cholesterol, is highly prevalent in Qatar and contributes significantly to both mortality and morbidity. Objective: To estimate the prevalence of total cholesterol (TC), low-density lipoprotein (LDL), and low high-density lipoprotein (HDL) levels in a specific population in Qatar, and to assess their associations with obesity. Methods: Data for this cross-sectional study was derived from the Qatar Biobank, a population-based biobank that recruits Qatari nationals or long-term residents aged 18 years and above. Multivariable logistic and linear regression models were used to assess the associations between TC, LDL, HDL, and obesity levels defined by body mass index (BMI) and waist circumference (WC). Results: Of 1,000 participants, 920 were included in the study. Approximately 37% of women had higher TC (≥ 5.18 mmol/L), 28% had higher LDL (≥ 3.4 mmol/L), and 36% had lower HDL (<1.3 mmol/L). Among men, 43% had higher TC, 41% had higher LDL, and 22% had lower HDL. HDL levels were significantly associated with higher BMI and WC in both women (adjusted odds ratio [aOR] for obese vs normal weight = 3.60, 95% CI: 1.86-6.94; aOR for higher WC vs lower WC = 2.35, 95% CI: 1.42-3.90) and men (aOR for obese vs normal weight = 3.00, 95% CI: 1.48-6.11; aOR for higher WC vs lower WC = 2.12, 95% CI: 1.27-3.55). In men, higher BMI was significantly associated with increased odds of higher TC (aOR = 2.45, 95% CI: 1.38-4.36) and LDL (aOR = 2.56, 95% CI: 1.42-4.56), while no significant associations were found in women. Conclusion: Both women and men with higher BMI and WC had significantly lower HDL levels. Additionally, men with higher BMI were at increased risk for higher TC and LDL levels, whereas no significant associations were observed in women. Further research is needed to examine the associations between cholesterol types and metabolic syndrome components in representative populations with adequate sample sizes.

Indexed as

biobankhigh-density lipoproteinlow-density lipoproteinobesityQatarTotal cholesterol

Identifiers

PMID41477169
PMCPMC12750707

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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.