Evidence map›Paper›PMID 39865230›Full record

ArticleBMC public health2025

Evaluating the differences in healthy lifestyle behaviors between Chinese urban and rural residency after the termination of social distancing: analysis based on propensity score matching.

Yudong Miao, Dongfang Zhu, Zhanlei Shen, Yi Li, Wanliang Zhang, Junwen Bai, Ruizhe Ren, Jingbao Zhang, Dan Guo, Clifford Silver Tarimo and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC public health, 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

15 authors.

Yudong MiaoDepartment of Health Management, College of Public Health, Zhengzhou University, No.100 Kexue Road, Zhongyuan District, Zhengzhou, 450001, Henan, China.
Dongfang ZhuDepartment of Health Management, College of Public Health, Zhengzhou University, No.100 Kexue Road, Zhongyuan District, Zhengzhou, 450001, Henan, China.
Zhanlei ShenDepartment of Health Management, College of Public Health, Zhengzhou University, No.100 Kexue Road, Zhongyuan District, Zhengzhou, 450001, Henan, China.
Yi LiDepartment of Health Management, College of Public Health, Zhengzhou University, No.100 Kexue Road, Zhongyuan District, Zhengzhou, 450001, Henan, China.
Wanliang ZhangDepartment of Health Management, College of Public Health, Zhengzhou University, No.100 Kexue Road, Zhongyuan District, Zhengzhou, 450001, Henan, China.
Junwen BaiDepartment of Health Management, College of Public Health, Zhengzhou University, No.100 Kexue Road, Zhongyuan District, Zhengzhou, 450001, Henan, China.
Ruizhe RenDepartment of Health Management, College of Public Health, Zhengzhou University, No.100 Kexue Road, Zhongyuan District, Zhengzhou, 450001, Henan, China.
Jingbao ZhangDepartment of Health Management, College of Public Health, Zhengzhou University, No.100 Kexue Road, Zhongyuan District, Zhengzhou, 450001, Henan, China.
Dan GuoDepartment of Health Management, College of Public Health, Zhengzhou University, No.100 Kexue Road, Zhongyuan District, Zhengzhou, 450001, Henan, China.
Clifford Silver TarimoDepartment of Science and Laboratory Technology, Dar Es Salaam Institute of Technology, P.O. Box 2958, Dar Es Salaam, Tanzania.
Wenyong DongDepartment of Hypertension, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, 450003, Henan, China.
Rongmei LiuHenan Key Laboratory for Health Management of Chronic Diseases, Central China Fuwai Hospital, Central China Fuwai Hospital of Zhengzhou University, Zhengzhou, 451450, Henan, China.
Qiuping ZhaoHenan Key Laboratory for Health Management of Chronic Diseases, Central China Fuwai Hospital, Central China Fuwai Hospital of Zhengzhou University, Zhengzhou, 451450, Henan, China.
Xue ZhouCollege of Health Management, Mudanjiang Medical University, Mudanjiang, 157011, Heilongjiang, China.
Jianping HuHenan Medical Communication and Project Forward Center, No. 6, Xueli Road, Zhengdong New District, Zhengzhou, 450000, Henan, China. 13598019002@139.com.

Funding

the Collaborative Innovation Key Project of Zhengzhou 20XTZX05015the National Social Science Fund of China 21BGL222
6 · The paper itself

Abstract

backgroundDuring the COVID-19 pandemic, the social distancing has significantly affected the healthy lifestyle behaviors of residents. China ended social distancing on January 8, 2023, and the healthy lifestyle behaviors of residents after this time are unclear. The goal of this study was to evaluate the differences in healthy lifestyle behaviors between Chinese urban and rural residency after the termination of social distancing.

methodsFrom February 1, 2023, to February 8, 2023, a cross-sectional survey which include participants (≥ 18 years old) was carried out in four regions of mainland China (Changzhou in the eastern region, Zhengzhou in the central region, Xining in the western region, and Mudanjiang in the northeastern region). A healthy lifestyle behaviors scale containing 11 items was designed to calculate the healthy lifestyle behaviors scores among urban and rural residents. The healthy lifestyle behaviors scores ranged from 11 to 51. Multivariate linear regression was used to analyze the influencing factors of healthy lifestyle behaviors scores among urban and rural residents. Propensity Score Matching was used to assess the net differences in healthy lifestyle behaviors scores between urban and rural residents.

resultsA total of 5780 residents (53.04% females) were included in the study, including 3302(57.13%) urban residents. The average healthy lifestyle behavior score was 38.33(95%CI: 38.18 to 38.49). Healthy lifestyle behaviors score among males was lower than that among females in both urban (β = -1.98, 95%CI: -3.05 to -2.10) and rural residents (β = -2.57, 95%CI: -2.37 to -1.60). Higher education was associated with higher healthy lifestyle behaviors scores in both urban and rural residents. PSM analysis indicated that urban residents still had higher healthy lifestyle behaviors scores (38.72, 95% CI: 38.46 to 38.99) than rural residents (37.85, 95%CI: 37.57 to 38.13), with a net difference of 0.87 points.

conclusionsAfter the termination of social distancing, the overall healthy lifestyle behaviors of Chinese residents were found to be at a medium level. Urban residents have a better healthy lifestyle behavior compared to their rural counterparts. It is essential to prioritize efforts towards enhancing the healthy lifestyle behaviors of rural residents.

Indexed as

COVID-19Healthy LifestylePhysical DistancingRural PopulationUrban PopulationAdolescentAdultChinaCross-Sectional StudiesEast Asian PeopleFemaleHumansMaleMiddle AgedPropensity ScoreYoung AdultAfter the termination of social distancingHealthy lifestyle behaviorsPSMUrban and rural residents

Identifiers

PMID39865230
PMCPMC11771015

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.