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

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.

Authors

Institutions

Publication Details

Journal
Frontiers in Public Health
Published
2024-09-13
DOI
https://doi.org/10.3389/fpubh.2024.1461300
Citations
9
Primary Topic
Nutrition and Health in Aging
Type
article
Field-Weighted Citation Impact
2.94
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Yijie Xie, Yi Niu, Yuqin Sun, Shun Yu
9 citations
Frontiers in Public Health
Nutrition and Health in Aging
2.94
article

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

Yijie Xie, Yi Niu, Yuqin Sun, Shun Yu
article en
9 citations

Abstract

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.

Frontiers in Public HealthVol. 12
Jiangnan University (CN), Wuxi Fourth People's Hospital (CN)
Openalex Percentile: Top 8%
Nutrition and Health in Aging
2.94
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.