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Comparison of prevalent and incident exposure designs in cohort studies
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Ze-miao YANG1, Dan-zeng QUZHEN2, 3, 4, Gong-hua WU1, Bing GUO1, 5, Xing ZHAO1, 5
Modern Preventive Medicine | 2026, 53(7) : 1165 - 1171
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Modern Preventive Medicine | 2026, 53(7): 1165-1171
• Epidemiology and Statistical Methods •
Comparison of prevalent and incident exposure designs in cohort studies
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Ze-miao YANG1, Dan-zeng QUZHEN2, 3, 4, Gong-hua WU1, Bing GUO1, 5, Xing ZHAO1, 5
Affiliations
  • Department of Epidemiology and Health Statistics, West China School of Public Health/West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China
Published: 2026-04-10 doi: 10.20043/j.cnki.MPM.202511421
Outline
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Objective

To compare the incident exposure design with the prevalent exposure design in cohort studies, to systematically evaluate the performance of different analytical methods within the incident exposure design framework, using the association between hypertension and cardiovascular disease as an example.

Methods

Based on the UK Biobank cohort, we selected an elderly population aged 60-65 years at baseline. Both prevalent exposure and incident exposure designs (time-window fixed grouping, time-zero random assignment, time-zero distribution matching, and time-dependent variable) were applied to assess the association between hypertension and incident cardiovascular disease.

Results

Using the time-dependent variable as reference [hazard ratio (HR)=1.77, 95% confidence interval (CI): 1.68-1.88], the prevalent exposure design underestimated the effect size by 23% (HR=1.36) due to selection bias. The time-window fixed grouping introduced immortal time bias, leading to an 11% underestimation (HR=1.57). The time-zero random assignment and time-zero distribution matching, by defining a valid time-zero, partially controlled for bias, yielding HRs of 1.63 and 1.66, respectively. However, some degree of underestimation persisted.

Conclusion

The prevalent exposure design may systematically underestimate long-term disease risk. The event-based incident exposure design is recommended, particularly the time-dependent variable method which effectively controls for bias, to provide more reliable evidence for assessing the risk of incident cardiovascular disease associated with hypertension in elderly adults.

Cohort study  /  Prevalent exposure design  /  Incident exposure design  /  Selection bias  /  Immortal time bias
杨泽淼, 曲珍旦增, 吴功华, 郭冰, 赵星. 队列研究中现患暴露设计与新发暴露设计的比较. 现代预防医学, 2026 , 53 (7) : 1165 -1171 . DOI: 10.20043/j.cnki.MPM.202511421
Ze-miao YANG, Dan-zeng QUZHEN, Gong-hua WU, Bing GUO, Xing ZHAO. Comparison of prevalent and incident exposure designs in cohort studies[J]. Modern Preventive Medicine, 2026 , 53 (7) : 1165 -1171 . DOI: 10.20043/j.cnki.MPM.202511421
Year 2026 volume 53 Issue 7
21
11
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Article Info
doi: 10.20043/j.cnki.MPM.202511421
  • Receive Date:2025-11-24
  • Online Date:2026-11-02
  • Published:2026-04-10
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  • Received:2025-11-24
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    Department of Epidemiology and Health Statistics, West China School of Public Health/West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China
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表12种不同金属材料的力学参数
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Family
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Number of
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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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