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Estimation of adult tobacco prevalence levels in each sub-district and township of Dingzhou city, Hebei Province in 2023 based on the small area estimation model
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Xiao-yue LI1, Chang-qiang YAO2, Dan-ying LI1, Li-na REN2, Xiao-jing GUO1, Meng-lu FENG2, Ze-min CAI1, Li ZHANG2, Meng ZHANG2, Xia WAN1
Modern Preventive Medicine | 2025, 52(7) : 1175 - 1181
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Modern Preventive Medicine | 2025, 52(7): 1175-1181
Epidemiology and Statistical Methods
Estimation of adult tobacco prevalence levels in each sub-district and township of Dingzhou city, Hebei Province in 2023 based on the small area estimation model
Full
Xiao-yue LI1, Chang-qiang YAO2, Dan-ying LI1, Li-na REN2, Xiao-jing GUO1, Meng-lu FENG2, Ze-min CAI1, Li ZHANG2, Meng ZHANG2, Xia WAN1
Affiliations
  • National Key Laboratory of Respiratory and Comorbid Diseases, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing 100005, China
Published: 2025-04-10 doi: 10.20043/j.cnki.MPM.202410080
Outline
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Objective

To understand the current situation of adult tobacco prevalence in each sub-district and township of Dingzhou city, Hebei Province, provide data support for formulating grass-roots tobacco control policies, and provide a reference for estimating tobacco prevalence indicators at the county-district level.

Methods

A multi-stage stratified cluster sampling method and Probability Proportional to Size (PPS) sampling method were used to conduct a questionnaire survey among permanent residents aged 15 and above in Dingzhou city. The survey data were cleaned, weighted, and analyzed using SAS 9.4. The current smoking rate, quitting rate, and second-hand smoke exposure rate in Dingzhou city were reported. The Small Area Estimation (SAE) method was used to estimate the above-mentioned indicators for each sub-district and township.

Results

A total of 7 660 valid questionnaires were collected in this survey, with an overall response rate of 68.70%. In 2023, the current smoking rate among people aged 15 and above in Dingzhou city was 22.27%, the quitting rate was 9.60%, and the second-hand smoke exposure rate among non-smokers was 36.84%. The estimation results of the SAE model showed that there were differences in tobacco prevalence monitoring indicators among different sub-districts and townships. Townships such as Xingyi Town, Liqinggu Town, and Dongliuchun Township in the southern part of Dingzhou city had relatively high current smoking rates (25%-35%). Some townships in the northwest and southeast regions had relatively low quitting rates (less than 10%), while the sub-districts and townships with relatively high second-hand smoke exposure rates were more scattered, with the rates in Dongting Town and Xizhong Town exceeding 50%.

Conclusion

The SAE model can be used to estimate tobacco prevalence monitoring indicators at the county-district and even sub-district and township levels. Currently, the tobacco prevalence situation in some sub-districts and townships of Dingzhou city is relatively severe. Targeted grass-roots tobacco control work should be carried out, the construction of smoke-free environments should be strengthened, and grass-roots smoking cessation services should be promoted.

Tobacco prevalence  /  Smoking  /  Small area estimation  /  Tobacco control
Xiao-yue LI, Chang-qiang YAO, Dan-ying LI, Li-na REN, Xiao-jing GUO, Meng-lu FENG, Ze-min CAI, Li ZHANG, Meng ZHANG, Xia WAN. Estimation of adult tobacco prevalence levels in each sub-district and township of Dingzhou city, Hebei Province in 2023 based on the small area estimation model[J]. Modern Preventive Medicine, 2025 , 52 (7) : 1175 -1181 . DOI: 10.20043/j.cnki.MPM.202410080
Year 2025 volume 52 Issue 7
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Article Info
doi: 10.20043/j.cnki.MPM.202410080
  • Receive Date:2024-10-08
  • Online Date:2026-03-18
  • Published:2025-04-10
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  • Received:2024-10-08
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    National Key Laboratory of Respiratory and Comorbid Diseases, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing 100005, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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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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