不同收入国家2000-2016年婴儿死亡率影响因素的岭回归分析-国际临床研究杂志-CSCIED科技核心评价数据库-手机版

不同收入国家2000-2016年婴儿死亡率影响因素的岭回归分析

Ridge regression analysis of the influencing factors of infant mortality rate in different income countries from 2000 to 2016

ES评分 0 浏览量：572 下载量：0

全文阅读下载引用收藏

DOI	10.12208/j.ijcr.20230115
刊名	国际临床研究杂志 International Journal of Clinical Research
年，卷(期)	2023, 7(3)
作者	李鸿斌*,贲宇,冯海娟,
作者单位	如皋市妇幼保健计划生育服务中心 ; 南京大学医学院临床医学专业2019级江苏南京 ; 南通大学附属如皋医院消化内科江苏如皋 ;
摘要	分析人均GDP、人均当前卫生支出等经济社会因素对不同收入国家婴儿死亡率的影响程度。方法以高、中、低收入国家2000-2016年婴儿死亡率为因变量，人均GDP、人均当前卫生支出、总生育率、小学生总毕业率、谷物产量、CO2排放量等经济社会因素为自变量，进行岭回归分析，通过比较标准化回归系数绝对值大小，分析各自变量对婴儿死亡率的影响大小。结果高（k=0.159，F=93.766，P=0.000，R2=0.983）、中（k=0.069，F=224.115，p=0.000，R2=0.993）、低（k=0.173，F=123.357，P=0.000，R2=0.987）收入国家的岭回归方程F检验差异均有统计学意义，不同收入国家除高收入国家总生育率外（t=0.429，P=0.677）其他回归系数的t检验差异均有统计学意义（P＜0.05）。高收入国家岭回归方程标准准化回归系数绝对值前二位是人均当前卫生支出、人均GDP，中等收入国家为总生育率、谷物产量，低收入国家为总生育率、小学生总毕业率。结论人均GDP、人均当前卫生支出是高收入国家但不是中、低收入国家婴儿死亡率的主要经济社会影响因素。不同经济社会因素对不同收入国家婴儿死亡率的影响程度大小不一、影响顺位各有差别，防控策略应各有侧重。
Abstract	Objective To analyze the impact of economic and social factors such as per capita GDP and per capita current health expenditure on infant mortality in different income countries. Methods Taking the infant mortality rate in high, middle and low-income countries from 2000 to 2016 as the dependent variable, and the per capita GDP, per capita current health expenditure, total fertility rate, total graduation rate of primary school students, grain production, and CO2 emissions as the independent variables, ridge regression analysis was carried out. By comparing the absolute values of standardized regression coefficients, the impact of each variable on infant mortality was analyzed. Results There were significant differences in ridge regression equation F test among high (k = 0.159, F= 93.766, P = 0.000, R2 = 0.983), middle (k = 0.069, F = 224.115, P = 0.000, R2 = 0.993) and low (k = 0.173, F= 123.357, P = 0.000, R2 = 0.987) income countries. Except for the total fertility rate of high-income countries in different income countries (t=0.429, p=0.677), the t-test differences of other regression coefficients were statistically significant (P < 0.05). According to the absolute value of the standardized regression coefficient of the ridge regression equation, the top two were the current per capita health expenditure and per capita GDP in high-income countries, the total fertility rate and grain output in middle-income countries, and the total fertility rate and the total graduation rate of primary school students in low-income countries. Conclusions Per capita GDP and per capita current health expenditure are the main economic andsocialinfluencing factors of infant mortality in high-income countries, but not in middle and low-income countries. Different economic andsocial factors have different degrees of influence on infant mortality in different income countries, and the order of influence is different, so the prevention and control strategies should have their own focus.
关键词	婴儿死亡率；人均GDP；人均当前卫生支出；岭回归分析
KeyWord	Infant mortality rate; GDP per capita; Current health expenditure per capita; Ridge regression
基金项目
页码	39-44

参考文献
相关文献

[1] 李鸿斌. 基于《世界卫生统计2015》资料全球 5 岁以下儿童死亡率的现状分析
[J]. 中国循证医学杂志, 2017, 17(3): 269-275.

[2] 李鸿斌，贲宇.基于《世界卫生统计2015》资料全球婴儿死亡率分析
[J].国际儿科研究杂志，2022，2（1）：12-19.

[3] 李鸿斌，贲宇，冯海娟.婴儿死亡率影响因素及未来防控策略思考
[J]. 临床医学进展，2022，12(8): 7992-8000.

[4] Zhou L, Bandara J S, Paramati S R. Impact of sanitation, safe drinking water and health expenditure on infant mortality rate in developing economies
[J]. Australian Economic Papers, 2020,59(1):13-33.

[5] Hongbin Li, Haijuang Feng, Jie Wang,et al.Relationships among gross domestic product per capita, government health expenditure per capita and infant mortality rate in China
[J].Biomedical Research,2017,28(6):2859-2864.

[6] Wiggins A, Karaye I M, Horney J A. Medicaid expansion and infant mortality, revisited: A difference‐in‐differences analysis
[J]. Health Services Research, 2020, 55(3): 93-398.

[7] Bhatt C B, Beck-Sagué, Consuelo M. Medicaid Expansion and Infant Mortality in the United States
[J]. Am J Public Health. 2018,108(4):565-567.

[8] Dutta U P, Gupta H, Sarkar A K, et al. Some Determinants of Infant Mortality Rate in SAARC Countries: an Empirical Assessment through Panel Data Analysis
[J]. Child Ind Res, 2020, 13(5):2093-2116.

[9] Hassan S A, Zaman K, Zaman S, et al. Measuring health expenditures and outcomes in saarc region: health is a luxury?
[J]. Quality & Quantity, 2014, 48(3):1421-1437.

[10] Ahmed A H, Muftawu M. THE CAUSAL RELATIONSHIP BETWEEN INFANT MORTALITY AND FERTILITY RATE IN GHANA: ECONOMETRIC AND TIME SERIES ANALYSIS
[J]. International Journal of Advanced Research, 2018, 6(10):1192-1200.

[11] Patel K K, Rai R, Rai A K. Determinants of infant mortality in Pakistan: evidence from Pakistan Demographic and Health Survey 2017–18
[J]. J Public Health, 2021, 29(6):693-701

[12] Sati VP. Nutritional status and infant mortality rate in Saiha district, Mizoram, India
[J]. Current science, 2016, 110(12):2280-2285.

[13] Zayed N M, Sheikh A, Shahi S K, et al. Nexus among Infant Mortality Rate, Literacy Rate and Carbon Emission Rate compared with GDP: An Empirical Analysis in Bangladesh
[J]. Int J Arts and Social Science, 2020, 3(5): 20-25.

[14] 李鸿斌, 冯海娟, 贲宇. 日本阶段性婴儿死亡率经济社会因素的岭回归分析
[J]. 国际医学与数据杂志, 2023,7: (1) : 4-7.

引用本文

李鸿斌*,贲宇,冯海娟. 不同收入国家2000-2016年婴儿死亡率影响因素的岭回归分析 [J]. 国际临床研究杂志. 2023; 7; (3). 39 - 44.

文献评论

相关学者

相关机构