Analysis of Birth Growth: Using a Mixture Cure Frailty Model.

Q2 Medicine
Medical Journal of the Islamic Republic of Iran Pub Date : 2024-12-04 eCollection Date: 2024-01-01 DOI:10.47176/mjiri.38.142
Azadeh Naderi, Hadis Najafimehr, Kamal Azam, Abbas Rahimi Foroushani, Ali Moghadas Jafari, Mohammed Ibrahim Gubari, Hende Sadeghi, Mostafa Hosseini, Mehdi Yaseri
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Abstract

Background: The birth rate is important in population growth. Concerns are growing over declining birth rates in Iran, as a developing country in the past decade. The present study aimed to examine population growth in Hamadan and the factors influencing the birth rate.

Methods: This retrospective cohort study utilized data from 633 families with their first child in 2012 in Hamadan-information updated in 2022. The Kaplan-Meier plateau indicates a curing pattern; therefore, a mixture cure frailty model was employed to estimate the probability and hazard rate of having different numbers of children. This model comprises 2 components: the first estimates the probability of birth (or nonbirth, indicating cure), while the second component calculates the birth hazard rate for having different number of children.

Results: Mothers with high school diploma (odds ratio [OR], 0.049; P = 0.004) and under diploma (OR, 0.449; P < 0.001) education levels and fathers with under diploma (OR, 0.802; P = 0.021) education levels were linked to a lower risk of birth and a higher chance of a cure. Moreover, high school diploma (hazard ratio [HR] = 0.668; P < 0.001) and under diploma (HR = 0.821; P < 0.001) education levels in mothers significantly decreased the birth hazard rate. The shape parameter in the hazard function (μ = 0.933; SE = 0.049) indicates that the hazard rate of birth was decreasing during the follow-up time.

Conclusion: The study found that the mixture cure frailty model was effective in analyzing birth rates, with couples showing a decreased inclination to have more than 2 children. One contributing factor to this trend is the mothers' education and employment.

Abstract Image

Abstract Image

出生生长分析:使用混合治疗脆弱模型。
背景:出生率是人口增长的重要因素。伊朗作为一个发展中国家,在过去的十年里,出生率的下降引起了越来越多的关注。本研究旨在探讨哈马丹人口增长及其影响出生率的因素。方法:这项回顾性队列研究利用了2012年在哈马丹有第一个孩子的633个家庭的数据,这些数据更新于2022年。Kaplan-Meier高原呈固化模式;因此,采用混合脆弱性模型估计不同生育数量的概率和风险率。该模型由两个部分组成:第一部分估计出生(或不出生,表示治愈)的概率,第二部分计算生育不同数量孩子的出生危险率。结果:母亲具有高中学历(优势比[OR], 0.049;P = 0.004)和文凭以下(OR, 0.449;P < 0.001)学历水平与父亲学历不足(OR, 0.802;P = 0.021)教育水平与较低的出生风险和较高的治愈机会有关。高中学历(风险比[HR] = 0.668;P < 0.001)和学历以下(HR = 0.821;P < 0.001),母亲的教育水平显著降低了分娩危险率。危害函数中的形状参数(μ = 0.933;SE = 0.049)表明在随访期间出生危险率呈下降趋势。结论:研究发现,混合治疗脆弱模型对出生率分析是有效的,夫妇生育2个以上孩子的倾向有所下降。造成这一趋势的一个因素是母亲的教育和就业。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.40
自引率
0.00%
发文量
90
审稿时长
8 weeks
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