Sex-specific associations of serum cotinine levels with depressive symptoms and sleep disorders in American adults: NHANES 2007-2014

In this study, higher serum cotinine increased the risk of depression and sleep disorders and there was stronger association in females than males. These findings provided novel evidence about how TSE affected the mental condition of the general US population.

Authors

Institutions

Publication Details

Journal
Frontiers in Psychiatry
Published
2024-12-10
DOI
https://doi.org/10.3389/fpsyt.2024.1434116
Citations
2
Primary Topic
Smoking Behavior and Cessation
Type
article
Field-Weighted Citation Impact
0.65
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sex-specific associations of serum cotinine levels with depressive symptoms and sleep disorders in American adults: NHANES 2007-2014

Zhenhe Huang, Guifang Deng, Yao Liu, Hongguang Yang
2 citations
Frontiers in Psychiatry
Smoking Behavior and Cessation
0.65
article

Sex-specific associations of serum cotinine levels with depressive symptoms and sleep disorders in American adults: NHANES 2007-2014

Zhenhe Huang, Guifang Deng, Yao Liu, Hongguang Yang
article en
2 citations

Abstract

In this study, higher serum cotinine increased the risk of depression and sleep disorders and there was stronger association in females than males. These findings provided novel evidence about how TSE affected the mental condition of the general US population.

Frontiers in PsychiatryVol. 15
ShenZhen People’s Hospital (CN)
Good health and well-being
Openalex Percentile: Top 27%
Smoking Behavior and Cessation
0.65
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.