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May 17, 2026PLoS ONE0 citationsOpen Access

Prevalence and determinants of suboptimal health status among outdoor labor workers in Chengdu, Southwest China: A cross-sectional study

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LZLanchuan ZhangChengdu Sport UniversityXLXue LiNantong UniversityJWJunwei WangChengdu Sport University

Key Result

Outdoor labor workers in Chengdu exhibited a high prevalence (80.28%) of suboptimal health status, with incidence varying by occupation (drivers > security guards > construction workers > couriers).

Key Points

  • This study aimed to assess the prevalence of suboptimal health conditions among outdoor labor workers and identify associated risk factors.
  • Conducted a cross-sectional survey using the Sub-Health Measurement Scale Version 1.0 among outdoor workers in Chengdu.
  • Analyzed data from 705 valid questionnaires using Pearson's correlation analysis and multifactorial binary logistic regression.
  • Included a variety of outdoor occupations such as drivers, construction workers, security guards, and couriers.
  • The prevalence of suboptimal health status among outdoor workers was found to be 80.28%.
  • Significant correlating factors included age, years of outdoor service, marital status, family size, monthly income, drinking habits, and exercise participation.
  • No significant age-related difference in health status was observed, with varying incidence rates across different occupations.

Study Design

Type

Cross-Sectional (n=705)

Multicenter

No

Structured PICO

What is the prevalence and what are the determinants of suboptimal health status among outdoor labor workers in Chengdu, China?

P
Population
705 outdoor labor workers (drivers, construction workers, security guards, couriers) in Chengdu, Southwest China
O
Outcome
Prevalence of sub-health conditions measured by the Sub-Health Measurement Scale Version 1.0 (SHMS V1.0)patient reported

The prevalence of suboptimal health status is high (80.28%) among outdoor labor workers in Chengdu, China, influenced by socio-demographic and lifestyle factors.

Abstract

Background Suboptimal health status, termed sub-health, is a global public health problem. It is an intermediate health condition between health and disease. This study aimed to investigate the prevalence of chronic sub-health conditions among outdoor labor workers in Chengdu (a major city in Southwest China) and identify its associated risk factors. Methods The Sub-Health Measurement Scale Version 1.0 (SHMS V1.0) was used to investigate the occurrence of sub-health conditions and their risk factors. Participants from four main outdoor occupations (drivers, construction workers, security guards, couriers) were surveyed to analyze the occurrence of sub-health and the associations between sub-health and other socio-demographic factors as well as exercise habits, using Pearson's correlation analysis and the multifactorial binary logistic regression model. Results A total of 1030 questionnaires were distributed and 902 questionnaires were recovered (88% recovery rate). Excluding the invalid questionnaires due to omitted questions, multiple choices, etc., 705 questionnaires were retained (78% validity rate) and the prevalence of varying degrees of sub-health was 80.28%. Several significant correlating factors of the sub-health condition were identified, such as age, year of outdoor service, marital status, family size, monthly income, drinking habit, and regular participation in exercise. Conclusions The incidence of subhealth was relatively high among outdoor workers, while no significant age-related difference was observed. The incidence also varies across the different occupations ( i.e. , drivers > security guards > construction workers > couriers). Future targeted measures to alleviate these contributing factors may improve the sub-health status of outdoor labor workers.

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Cite This Study

Zhang et al. (2026) conducted a cross-sectional in Suboptimal health status (n=705). Outdoor labor workers in Chengdu exhibited a high prevalence (80.28%) of suboptimal health status, with incidence varying by occupation (drivers > security guards > construction workers > couriers).

synapsesocial.com/papers/6a095c2c7880e6d24efe2433https://doi.org/10.1371/journal.pone.0338995
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