Evidence map›Paper›PMID 37046236›Full record

ArticleBMC public health2023

Gender differences in metabolic syndrome and its components in southern china using a healthy lifestyle index: a cross-sectional study.

Ying Ye, Qiuhong Zhou, Weiwei Dai, Hua Peng, Shi Zhou, Huixia Tian, Lu Shen, Huiwu Han

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
9.0field-weighted citation impact, top 2% of its field
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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 45 citations in OpenAlex.

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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

8 authors at 2 institutions in 2 countries.

Ying Ye *Teaching and Research Section of Clinical Nursing, Xiangya Hospital of Central South University, Xiangya Road 87#, Changsha, Hunan, P.R. China.
Qiuhong Zhou *Teaching and Research Section of Clinical Nursing, Xiangya Hospital of Central South University, Xiangya Road 87#, Changsha, Hunan, P.R. China.
Weiwei DaiTeaching and Research Section of Clinical Nursing, Xiangya Hospital of Central South University, Xiangya Road 87#, Changsha, Hunan, P.R. China.
Hua PengTeaching and Research Section of Clinical Nursing, Xiangya Hospital of Central South University, Xiangya Road 87#, Changsha, Hunan, P.R. China.
Shi ZhouTeaching and Research Section of Clinical Nursing, Xiangya Hospital of Central South University, Xiangya Road 87#, Changsha, Hunan, P.R. China.
Huixia TianTeaching and Research Section of Clinical Nursing, Xiangya Hospital of Central South University, Xiangya Road 87#, Changsha, Hunan, P.R. China.
Lu ShenTeaching and Research Section of Clinical Nursing, Xiangya Hospital of Central South University, Xiangya Road 87#, Changsha, Hunan, P.R. China.
Huiwu HanTeaching and Research Section of Clinical Nursing, Xiangya Hospital of Central South University, Xiangya Road 87#, Changsha, Hunan, P.R. China. hanhw8888@csu.edu.cn.
Central South University · CNXiangya Hospital Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLifestyle changes are important for the prevention and management of metabolic syndrome (MetS), but studies that focus on gender differences in the lifestyle risk factors of MetS are limited in China. This research aimed to generate a healthy lifestyle index (HLI) to assess the behavioral risk factors of MetS and its components, and to explore the gender differences in HLI score and other influencing factors of MetS.

methodsA convenience sample of 532 outpatients were recruited from a general hospital in Changsha, China. The general information and HLI scores [including physical activity (PA), diet, smoking, alcohol use, and body mass index (BMI)] of the subjects were collected through questionnaires, and each patient's height, weight, waist circumference, and other physical signs were measured. Logistic regression analysis was used to analyze the risk factors of MetS and its components.

resultsThe prevalence of MetS was 33.3% for the whole sample (46.3% in males and 23.3% in females). The risk of MetS increased with age, smoking, unhealthy diet, and BMI in males and with age and BMI in females. Our logistic regression analysis showed that lower HLI (male: OR = 0.838,95%CI = 0.757-0.929; female: OR = 0.752, 95%CI = 0.645-0.876) and older age (male: OR = 2.899, 95%CI = 1.446-5.812; female: OR = 4.430, 95%CI = 1.640-11.969) were independent risk factors of MetS, for both sexes.

conclusionLow levels of HLI and older ages were independent risk factors of MetS in both males and females. The association between aging and MetS risk was stronger in females, while the association between unhealthy lifestyles and MetS risk was stronger in males. Our findings reinforced the expected gender differences in MetS prevalence and its risk factors, which has implications for the future development of gender-specific MetS prevention and intervention programs.

Indexed as

Metabolic SyndromeBody Mass IndexCross-Sectional StudiesFemaleHealthy LifestyleHumansMalePrevalenceRisk FactorsSex FactorsGenderHealthy lifestyle index (HLI)Metabolic healthMetabolic syndrome (MetS)Risk factors

Identifiers

PMID37046236
PMCPMC10091685
OpenAlexW4365141645

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.