孟加拉妇女避孕偏好的差异:一个多层次的逻辑回归研究
Md Hasinur Rahaman Khan1, Abu Bakar Siddik2, Tarikul Islam2
1Institute of Statistical Research and Training, University of Dhaka, Dhaka, 1000, Bangladesh. hasinur@isrt.ac.bd.
BMC public health
|October 9, 2025
概括
孟加拉国的避孕选择受教育和地区的影响. 高等教育和城市居住增加了对除了药丸或注射以外的方法的偏好,突出了对量身定制的计划生育策略的需求.
科学领域:
- 生殖健康 生殖健康
- 人口统计学 人口统计学
- 公共卫生 公共卫生
背景情况:
- 了解避孕偏好是解决孟加拉国未满足的计划生育需求的关键.
- 在社会人口和地理群体中,避孕药的使用率仍然存在差异.
- 这项研究调查了影响未来避孕方法选择的因素,这些因素影响了打算使用避孕的女性.
研究的目的:
- 检查孟加拉国目前已婚,不使用但打算使用的妇女中未来首选避孕方法的决定因素.
- 利用多层次的分析框架来了解个人和地区对避孕偏好的影响.
- 为有针对性的计划生育策略和生殖健康公平提供信息.
主要方法:
- 来自2014年孟加拉国人口和健康调查 (BDHS) 的数据,涉及3,662名女性 (15-49岁).
- 在个人 (一级) 和部门 (二级) 层面进行多项逻辑回归分析.
- 贝叶斯估计方法对药丸,注射和其他方法的模型偏好.
主要成果:
- 药丸是最喜欢的方法 (49%),其次是其他方法 (30%) 和注射 (21%).
- 高等教育和城市居住与更倾向于"其他方法"有关.
- 增加的平价与更高的注射偏好的可能性相关;观察到显著的区域差异.
结论:
- 避孕偏好是由个体特征 (年龄,教育,性别平等) 和区域背景决定的.
- 考虑到这些因素的定制策略对于减少未满足的需求和方法停止至关重要.
- 改善方法选择,女性教育和服务提供对于生殖健康平等至关重要.
关键词:
2014年BDHS 2014年BDHS 2014年BDHS 2014年BDHS 2014年BDHS 2014年BDHS 2014年BDHS 2014年BDHS 2014年BDHS 2014年BDHS 2014年BDHS 2014年BDHS 2014年BDHS 2014年BDHS 2014年BDHS 2014年BDHS 2014年BDHS 2014年BDHS 2014年BDHS 2014年BDHS 2014年BDHS 2014年BDHS 2014年BDHS 2014年BDHS 2014年BDHS 2014年孟加拉国 孟加拉国 孟加拉国避孕的偏好 避孕的偏好关于生育能力的规定.多层次建模的多层次建模多项式逻辑回归的多项式回归生殖健康 生殖健康可持续发展目标3.7
相关概念视频
01:52Regression Toward the Mean
6.8K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.8K
01:29Bias in Epidemiological Studies
1.3K
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
1.3K
01:09Odds Ratio
1.7K
The odds ratio (OR) is a statistical measure used extensively in epidemiology and research to quantify the strength of association between exposure and outcome across different groups. Unlike relative risk, which compares the probabilities of an event occurring, the odds ratio compares the odds of an event occurring in the exposed group to the odds of it occurring in the unexposed group. The odds, in this context, are calculated as the probability of the event happening divided by the...
1.7K
01:23Dosage Regimen Designs: Nomograms and Tabulations
179
Nomograms and tabulations are vital tools used by clinicians to design accurate and individualized dosage regimens. These instruments provide a straightforward method for adjusting dosages based on individual patient characteristics, including age, weight, and physiological condition. The foundation of a drug's nomogram is population pharmacokinetic data collected and analyzed using specific models. This data simplifies complex equations, presenting them diagrammatically or tabularly for easy...
179
01:22Birth Control Methods
5.9K
Vasectomy is a surgical form of male sterilization that involves severing and sealing the vasa deferentia, preventing sperm from mixing with semen during ejaculation. Because a vasectomy does not impact the testes' ability to produce testosterone, hormone levels, libido, and sexual function generally remain unchanged. While vasectomy is highly effective in preventing pregnancy, with a success rate near 99.85%, rare cases of recanalization (spontaneous reconnection) can occur. Although...
5.9K
01:24Testing a Claim about Population Proportion
3.9K
A complete procedure for testing a claim about a population proportion is provided here.
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
3.9K