Association between social determinants of health with the all-cause and cause-specific (cancer and cardio-cerebrovascular) mortality among the population with metabolic syndrome: NHANES 2005–2018

Our findings indicate that adverse social determinants of health are strongly linked to an increased risk of all-cause mortality in individuals with MetS. However, due to the observational and cross-sectional nature of this study, it is important to interpret these results as associations rather than implying any causal relationships.

Authors

Institutions

Publication Details

Journal
Diabetology & Metabolic Syndrome
Published
2025-04-23
DOI
https://doi.org/10.1186/s13098-025-01694-9
Citations
7
Primary Topic
Health disparities and outcomes
Type
article
Field-Weighted Citation Impact
15.17

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association between social determinants of health with the all-cause and cause-specific (cancer and cardio-cerebrovascular) mortality among the population with metabolic syndrome: NHANES 2005–2018

Shuaikang Wang, Lingling Wu, Ting Zhang, Xiaohan Ma et al.
7 citations
Diabetology & Metabolic Syndrome
Health disparities and outcomes
15.17
article

Association between social determinants of health with the all-cause and cause-specific (cancer and cardio-cerebrovascular) mortality among the population with metabolic syndrome: NHANES 2005–2018

Shuaikang Wang, Lingling Wu, Ting Zhang, Xiaohan Ma, Junchao Wu, Sheng Chen, Encun Hou, Lin Guo, Hongjun Gao
article en
7 citations

Abstract

Our findings indicate that adverse social determinants of health are strongly linked to an increased risk of all-cause mortality in individuals with MetS. However, due to the observational and cross-sectional nature of this study, it is important to interpret these results as associations rather than implying any causal relationships.

Diabetology & Metabolic SyndromeVol. 17(1)
Guangxi University (CN), Guangxi University of Chinese Medicine (CN)
Guangxi Key Research and Development Program
Good health and well-being
Openalex Percentile: Top 1%
Health disparities and outcomes
15.17
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.