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Development and validation of a risk prediction model for pulmonary nodules among manufacturing workers: a joint effects analysis based on gender, smoking status, and years of service
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Bin JIANG, Yu-ye KUANG, Wu-li LEI, Chong-xiang CHEN, Li-yan YANG
Modern Preventive Medicine | 2026, 53(5) : 815 - 820
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Modern Preventive Medicine | 2026, 53(5): 815-820
• Environmental and Occupational Health •
Development and validation of a risk prediction model for pulmonary nodules among manufacturing workers: a joint effects analysis based on gender, smoking status, and years of service
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Bin JIANG, Yu-ye KUANG, Wu-li LEI, Chong-xiang CHEN, Li-yan YANG
Affiliations
  • Guangzhou Development District Hospital (Guangzhou Huangpu District People’s Hospital), Guangzhou, Guangdong 510730, China
Published: 2026-03-10 doi: 10.20043/j.cnki.MPM.202509169
Outline
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Objective

This study aims to identify independent risk factors for pulmonary nodules in a manufacturing workers and to develop and validate a risk prediction model based on key variables. The goal was to provide a quantitative tool for the early identification of high-risk individuals within occupational groups.

Methods

A cross-sectional analysis was performed involving 581 employees from a manufacturing enterprise. The cohort comprised 397 individuals without pulmonary nodules and 184 with nodules. Univariate analysis and multivariable logistic regression (forward stepwise method) were used to identify independent predictors and construct the prediction model. The performance of individual variables and the combined model was assessed using receiver operating characteristic (ROC) curve analysis.

Results

Multivariable analysis identified female sex(OR=2.100, 95% CI: 1.163-3.791, P=0.014), smoking (OR=5.757, 95% CI: 3.552-9.332, P<0.001), and years of service (OR=1.113 per year, 95% CI: 1.084-1.143, P<0.001) as significant independent risk factors for pulmonary nodules. The combined prediction model yielded an area under the curve (AUC) of 0.801 (95% CI: 0.762-0.840), with a sensitivity of 62.50% and a specificity of 87.15%.

Conclusion

The risk prediction model, incorporating female sex, smoking history, and longer years of service, exhibits robust discriminative capability. It shows promise as a practical tool for the early screening of pulmonary nodules in occupational populations, such as those in manufacturing. Further external validation in broader and more diverse populations is warranted.

Working population  /  Pulmonary nodules  /  Risk prediction model  /  Years of service  /  Smoking  /  Sex differences
蒋斌, 邝玉叶, 雷伍丽, 陈崇翔, 杨丽燕. 制造业职业人群肺结节风险预测模型的构建与验证——基于性别、吸烟和工龄的联合效应分析. 现代预防医学, 2026 , 53 (5) : 815 -820 . DOI: 10.20043/j.cnki.MPM.202509169
Bin JIANG, Yu-ye KUANG, Wu-li LEI, Chong-xiang CHEN, Li-yan YANG. Development and validation of a risk prediction model for pulmonary nodules among manufacturing workers: a joint effects analysis based on gender, smoking status, and years of service[J]. Modern Preventive Medicine, 2026 , 53 (5) : 815 -820 . DOI: 10.20043/j.cnki.MPM.202509169
Year 2026 volume 53 Issue 5
25
13
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Article Info
doi: 10.20043/j.cnki.MPM.202509169
  • Receive Date:2025-09-12
  • Online Date:2026-11-02
  • Published:2026-03-10
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  • Received:2025-09-12
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    Guangzhou Development District Hospital (Guangzhou Huangpu District People’s Hospital), Guangzhou, Guangdong 510730, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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