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25 年间伊朗人群吸烟率的年龄、时期和队列分析。

Age, Period and Cohort Analysis of Smoking Prevalence in Iranian Population over a 25-Year Period.

机构信息

Department of Intensive Care Nursing, School of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran.

Department of Medicine, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.

出版信息

Arch Iran Med. 2021 Jan 1;24(1):7-14. doi: 10.34172/aim.2021.02.

DOI:10.34172/aim.2021.02
PMID:33588562
Abstract

BACKGROUND

Current and daily smoking prevalence rates have been have investigated in several cross-sectional studies. However, analyses in terms of age-period-cohort (APC) have not been carried out. We assessed daily smoking dynamics over a 25-year period using the APC model.

METHODS

In our analyses, we used data from 214,652 people aged 15 to 64 years, collected by national health surveys conducted in 1990-1991, 1999, 2005, 2007, 2011 and 2016. The Intrinsic Estimator model was used to analyze the impact of APC on daily smoking prevalence.

RESULTS

Males were found to exhibit a higher prevalence of smoking compared to females (26.0% against 2.7%). Prevalence of smoking increased by age, peaking at the age groups of 40-44 in men and 45-49 in women, followed by a decreasing trend. The 1990 period had the highest prevalence in both genders, and the 2016 period had the lowest. The coefficients of birth cohort effects showed different patter19s of fluctuations in the two genders with the maximum and minimum coefficients for men calculated in the 1966-1970 and 1991-95 birth cohorts, and for females the 1931-1935 and 1971-1975 birth cohorts, respectively.

CONCLUSION

We showed the impact of APC on daily tobacco smoking prevalence, and these factors should be considered when dealing with smoking.

摘要

背景

目前和日常吸烟率已在几项横断面研究中进行了调查。然而,并没有进行年龄-时期-队列(APC)分析。我们使用 APC 模型评估了 25 年来的每日吸烟动态。

方法

在我们的分析中,我们使用了 1990-1991 年、1999 年、2005 年、2007 年、2011 年和 2016 年全国健康调查中收集的 214652 名 15 至 64 岁人群的数据。使用内禀估计器模型分析 APC 对每日吸烟流行率的影响。

结果

男性的吸烟率高于女性(26.0%对 2.7%)。吸烟率随年龄增长而增加,在男性中达到 40-44 岁和女性中达到 45-49 岁的高峰,随后呈下降趋势。1990 年在两性中的流行率最高,2016 年最低。出生队列效应的系数显示两性出生队列的波动模式不同,男性的最大和最小系数分别计算在 1966-1970 年和 1991-95 年出生队列,女性的最大和最小系数分别计算在 1931-1935 年和 1971-1975 年出生队列。

结论

我们展示了 APC 对每日吸烟流行率的影响,在处理吸烟问题时应考虑这些因素。

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