Evidence map›Paper›PMID 29996861›Full record

ArticleHealth and quality of life outcomes2018

Analysis and determinants of Chinese navy personnel health status: a cross-sectional study.

Shali Xie, Hui Lin, Yi Meng, Jundong Zhu, Yanqi Zhang, Ling Zhang, Gaoming Li

Open access · goldAbstract read
In one paragraph

Article in Health and quality of life outcomes, 2018. 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
3.4field-weighted citation impact, top 8% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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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

7 authors at 2 institutions in 1 country.

Shali XieDepartment of Health Education, College of Military Preventive Medicine, Army Medical University, Chongqing, 400038, China. xslwjob@163.com.
Hui LinDepartment of Tropical Epidemiology, College of Military Preventive Medicine, Army Medical University, Chongqing, 400038, China.
Yi MengDepartment of Social Work, Social and Public Management School, Chongqing Technology and Business University, Chongqing, 400067, China.
Jundong ZhuDepartment of Nutrition and Food Hygiene, College of Military Preventive Medicine, Army Medical University, Chongqing, 400038, China.
Yanqi ZhangDepartment of Health Statistics, College of Military Preventive Medicine, Army Medical University, Chongqing, 400038, China.
Ling ZhangDepartment of Health Education, College of Military Preventive Medicine, Army Medical University, Chongqing, 400038, China.
Gaoming LiDepartment of Health Statistics, College of Military Preventive Medicine, Army Medical University, Chongqing, 400038, China.
Army Medical University · CNChongqing Technology and Business University · CN

Funding

Military Science Project of National Social Science Foundation, China 15GJ003-169
6 · The paper itself

Abstract

backgroundThere have been very few studies analyzing the relationship of physical and mental health status with health behaviors and deployment status in Chinese navy personnel. Thus, we undertook this survey to assess this relationship and identify specific factors affecting the physical and mental health status.

methodsThe subjects enrolled in this study were selected from four units of the active-duty navy personnel in China, based on a cluster random sampling design. A total of 1200 Chinese navy personnel participated and completed the questionnaire survey that included veteran SF-36 form and a self-designed questionnaire regarding their sociodemographic characteristics, deployment status, self-rated health status and health behaviors. Totally 1200 questionnaires were distributed to different participants, while 1083 valid questionnaires were included in the final analysis. All data were analyzed using SPSS18.0 software.

resultsBased on the information provided by navy personnel, 17.82, 35.09 and 23.08% rated their health as excellent, very good and good, respectively. The mean score of physical component summary (PCS) and mental component summary (MCS) was 50.53 and 41.39, respectively. Length of service, binge drinking, regular drinking and BMI appeared to be associated with PCS score, while household income, binge drinking and BMI affected MCS score. Deployment status and smoking exhibited no significant association with PCS and MCS scores.

conclusionsOur study suggested that the sociodemographic factors like length of service and household income, along with behavioral risk factors like binge drinking, regular drinking and body mass index (BMI), seem to affect the physical and mental health status of Chinese navy personnel. However, additional data collection and more detailed analysis would still be required to develop a systematic, comprehensive and corresponding health education program to promote overall health status.

Indexed as

Health StatusAdultChinaCross-Sectional StudiesFemaleHealth BehaviorHumansMaleMiddle AgedMilitary PersonnelQuality of LifeRegression AnalysisRisk FactorsSurveys and QuestionnairesVeteransChinaHealth related behaviorsHealth statusMilitaryNavyVeterans SF-36

Identifiers

PMID29996861
PMCPMC6042426
OpenAlexW2836615736

What OpenQuestion holds

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LicenceCC BY
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.