Evidence map›Paper›PMID 41000142›Full record

ArticleCureus2025

Association of Anthropometric Measurements With Lipid Profile in Hypertension.

Charu Lakhi, Savita Kumari

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Charu LakhiInternal Medicine, Maharishi Markandeshwar Institute of Medical Sciences and Research, Mullana, IND.
Savita KumariInternal Medicine, Maharishi Markandeshwar Institute of Medical Sciences and Research, Mullana, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo assess whether anthropometric indices (body mass index (BMI), waist circumference, and skinfold thickness) are associated with lipid profile parameters in participants with and without hypertension.

methodsA case-control study was conducted on 200 participants (100 with hypertension and 100 without hypertension) at Maharishi Markandeshwar Institute of Medical Sciences and Research (MMIMSR), Ambala. Anthropometric parameters included BMI, waist and hip circumference, waist-to-hip ratio, and skinfold thickness (biceps, triceps, subscapular, and suprailiac). Fasting lipid profiles (total cholesterol, low-density lipoproteins cholesterol (LDL-C), high-density lipoproteins cholesterol (HDL-C), and triglycerides) were analyzed using standard enzymatic methods. Statistical analysis was done using SPSS v25.0 with p < 0.05 as significant.

resultsParticipants with hypertension had significantly higher BMI, waist and hip circumference, waist-to-hip ratio, and skinfold thickness at triceps, subscapular, and suprailiac sites (p < 0.05). Biceps thickness did not differ significantly (p = 0.174). Total cholesterol, LDL-C, and triglycerides were significantly elevated in participants with hypertension, while HDL-C was lower (p < 0.0001 for all). BMI positively correlated with total cholesterol (r = 0.45), LDL-C (r = 0.42), and triglycerides (r = 0.39) and negatively with HDL-C (r = -0.40), all p < 0.001.

conclusionCentral obesity was significantly associated with adverse lipid profiles in this sample of hypertensives. Regular assessment of anthropometric and lipid parameters is crucial for early identification and management of cardiometabolic risk.

Indexed as

cholesteroldyslipidemiahypertensionldlskinfold thicknesstriglycerideswaist circumference

Identifiers

PMID41000142
PMCPMC12457870

What Socratic 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 Socratic graph.