Evidence map›Paper›PMID 40269894›Full record

ArticleDiabetology & metabolic syndrome2025

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.

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

Abstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

9 authors.

Xiaohan Ma *Graduate School, Guangxi University of Chinese Medicine, Nanning, Guangxi, China.
Sheng Chen *Graduate School, Guangxi University of Chinese Medicine, Nanning, Guangxi, China.
Lin GuoGraduate School, Guangxi University of Chinese Medicine, Nanning, Guangxi, China.
Shuaikang WangGraduate School, Guangxi University of Chinese Medicine, Nanning, Guangxi, China.
Junchao WuGraduate School, Guangxi University of Chinese Medicine, Nanning, Guangxi, China.
Lingling WuRuikang Hospital, Guangxi University of Chinese Medicine, No.10 of Huadong Rd., Xingning District, Nanning, Guangxi, 530011, China. 2111572399@qq.com.
Ting ZhangRuikang Hospital, Guangxi University of Chinese Medicine, No.10 of Huadong Rd., Xingning District, Nanning, Guangxi, 530011, China. ch68681314@163.com.
Hongjun GaoRuikang Hospital, Guangxi University of Chinese Medicine, No.10 of Huadong Rd., Xingning District, Nanning, Guangxi, 530011, China. gao4056@163.com.
Encun HouRuikang Hospital, Guangxi University of Chinese Medicine, No.10 of Huadong Rd., Xingning District, Nanning, Guangxi, 530011, China. encunhou123@163.com.

Funding

Cell and tissue engineering clinical research high-level talent cultivation innovation team 04B24008B8Guangxi Clinical Medical Research Center for Integrated Traditional Chinese and Western Medicine Kidney Diseases AD22035122Guangxi Health Commission of Western Medicine self-funded scientific research Project Z-A20240805Guangxi Key Research and Development Plan AB24010077Guangxi Traditional Chinese Medicine Bureau of Traditional Chinese Medicine self-funded research project GXZYA20240158Guangxi University of Traditional Chinese Medicine University Level Project 2024MS051
6 · The paper itself

Abstract

backgroundSocial determinants of health (SDOH) and metabolic syndrome (MetS) are related, but their combined effect on mortality risk remains unclear.

methodsWe analyzed data from NHANES (National Health and Nutrition Examination Survey) cycles between 2005 and 2018. The composite SDOH score was calculated by summing the weighted scores for each SDOH, categorizing participants into four groups: Q1 (0-1), Q2 (2-3), Q3 (4) and Q4 (≥ 5). Kaplan-Meier survival curves and multivariate Cox proportional hazards models were used to examine the relationship between SDOH and mortality outcome. Restricted cubic spline (RCS) analyses were conducted to explore nonlinear relationships. Subgroup analyses assessed the consistency and robustness of the findings across various demographic and clinical factors.

resultsOf the 7,366 patients with MetS, 1,193 died, including 407 from cardiovascular and cerebrovascular diseases and 269 from cancer. Cox regression analyses, using fully adjusted Model 2, revealed that higher SDOH levels had increased hazards for all-cause mortality (HR = 2.41, 95% CI: 1.87,3.12), cancer-related death (HR = 2.45, 95% CI: 1.54,3.89), and Cardio - cerebrovascular disease (HR = 2.62, 95% CI: 1.79,3.84). Kaplan-Meier analyses further supported these findings, demonstrating that participants with higher SDOH scores had lower survival rates. Additionally, RCS modeling confirmed a linear relationship between SDOH and mortality, with no indication of a nonlinear relationship (P for nonlinear > 0.05).

conclusionOur 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.

Indexed as

Metabolic syndromeMortalitySocial determinants of healthThe National health and nutrition examination survey

Identifiers

PMID40269894
PMCPMC12016379

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.