Evidence map›Paper›PMID 41361430›Full record

ArticleLipids in health and disease2025

The effect of cumulative exposure to unhealthy behavioral lifestyles on incident primary dyslipidemia: a prospective study from the Chinese government employee cohort.

Ling Li, Yilu Li, Chengcheng Zhang, Jun He, Feiyun Ouyang, Jingya Li, Dan Luo, Xiuqin Hong, Shuiyuan Xiao

Abstract read
In one paragraph

Article in Lipids in health and disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ling LiClinical Epidemiology Research Office, Hunan Provincial People's Hospital, First Affiliated Hospital of Hunan Normal University, Changsha, 410021, China.
Yilu LiDepartment of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, 4100013, China.
Chengcheng ZhangDepartment of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, 4100013, China.
Jun HeDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, 06510, USA.
Feiyun OuyangSchool of Computer & Information Sciences, University of Massachusetts Lowell, Lowell, MA, 01852, USA.
Jingya LiDepartment of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, 4100013, China.
Dan LuoDepartment of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, 4100013, China.
Xiuqin HongClinical Epidemiology Research Office, Hunan Provincial People's Hospital, First Affiliated Hospital of Hunan Normal University, Changsha, 410021, China.
Shuiyuan XiaoDepartment of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, 4100013, China. xiaosy@csu.edu.cn.

Funding

Health Commission of Hunan Province 20254401Key Research and Development Program of Hunan Province of China 2023SK2059Ministry of Science and Technology of the People's Republic of China 2016YFC0900802Natural Science Foundation of Hunan Province 2025JJ60519
6 · The paper itself

Abstract

backgroundWhile specific unhealthy behavioral lifestyles link to primary dyslipidemia (PD), cumulative effects remain unknown. We quantified the association with incidence of PD with cumulative exposure clustering of lifestyles.

methodsEleven thousand eight hundred forty-three government staff enrolled (2018–2020) and followed (2019–2021). PD was defined per Chinese guidelines. Behaviors and personal characteristics were collected by a questionnaire. Lifestyle score was calculated using cigarette smoking, alcohol consumption, unhealthy diet, unhealthy physical exercise, BMI ≥ 24 Kg/m2, sedentary behavior, and poor sleep quality. Cox proportional hazard models were used to explore the associations, and the Population Attributable Fraction (PAF) for the association of PD with lifestyle score was calculated. The dose-response relationship was evaluated using the restricted cubic splines method.

resultsThe incidence density of PD was 78/1000 person-years. Compared with participants with 0 unhealthy behavioral lifestyles, the HR of PD was 3.18 (95% CI: 1.63–6.22, p = 0.008) for those with at least 6 unhealthy behavioral lifestyles, with a PAF of the cumulative exposure of unhealthy lifestyle was 33.03% (95% CI:1.58–66.81%). Additionally, the combination of unhealthy diet, unhealthy physical exercise, sedentary behavior, and poor sleep quality was the most dominant form. Notably, there was a monotonically increasing (J-shaped) relationship between unhealthy lifestyles and the risk of PD (P = 0.034).

conclusionsCumulative exposure to unhealthy lifestyles, particularly the combination of poor diet, physical inactivity, sedentariness, and poor sleep, is a major, dose-dependent risk factor for PD in Chinese governmental employees. Public health interventions should prioritize this high-risk cluster to alleviate the substantial disease burden, over one-third of which is attributable to these modifiable factors.

Indexed as

DyslipidemiasGovernment EmployeesLife StyleAdultAlcohol DrinkingChinaDietExerciseFemaleHumansIncidenceMaleMiddle AgedProportional Hazards ModelsProspective StudiesRisk FactorsChinses governmental employee, incidenceCumulative exposure effectPrimary dyslipidemia (PD)Prospective cohort studyUnhealthy behavioral lifestyles

Identifiers

PMID41361430
PMCPMC12683899

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.