Evidence map›Paper›PMID 39346588›Full record

ArticleFrontiers in public health2024

Association between weight-adjusted waist circumference index and depression in older patients with hypertension: a study based on NHANES 2007-2016.

Yi Niu, Yuqin Sun, Yijie Xie, Shun Yu

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Targeting the 5-HTCell & bioscience · 2026
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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

4 authors.

Yi NiuWuxi Medical College of Jiangnan University, Wuxi, China.
Yuqin SunWuxi Medical College of Jiangnan University, Wuxi, China.
Yijie XieDepartment of Wound Stoma Care Clinic, Affiliated Hospital of Jiangnan University, Wuxi, China.
Shun YuDepartment of Plastic Surgery, Treatment Center of Burn and Trauma, Affiliated Hospital of Jiangnan University, Wuxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Our aim was to assess the relationship between weight-adjusted waist circumference index (WWI) and the prevalence of depression in older adult hypertensive patients in the United States. Methods: We selected individuals from the National Health and Nutrition Examination Survey (NHANES) database from 2007 to 2016 and used logistic regression analyses, subgroup analyses, and dose-response curves to assess the associations between the WWI index and the prevalence of depression in older hypertensive patients with age, sex, and BMI. Results: A total of 4,228 participants aged ≥60 years with hypertension were included in our study; 364 patients were assessed for depression. After correction for confounders, each unit increase in WWI increased the risk of depression in older hypertensive patients by 19% (OR = 1.19, 95% CI: 0.99, 1.43). Dose-response curves showed that the WWI index was positively associated with the prevalence of depression in older hypertensive patients when the WWI index was ≥11.6. Based on subgroup analyses, this association was particularly pronounced in individuals ≥70 years of age, women, and individuals with a BMI of 25 or greater. Conclusion: Higher WWI scores were positively associated with the prevalence of depression in older hypertensive patients and correlated with gender, age and BMI. This is notable, although a causal relationship cannot be established at this time.

Indexed as

Body Mass IndexDepressionHypertensionNutrition SurveysWaist CircumferenceAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceRisk FactorsUnited Statescross-sectional studydepressionhypertension in the older adultNHANESWWI index

Identifiers

PMID39346588
PMCPMC11427274

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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.