印度无糖尿病生活:生存功能分析的应用

S. Singh, S. Pedgaonkar, P. Puri, J. Gupta
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引用次数: 7

摘要

背景:印度是一个多元化的国家,有各种各样的社会经济和人口结构。在任何地理区域,这些社会经济和人口因素往往会影响无糖尿病患者的生存。本研究探讨了印度18个具有较好人口指标的州的成人受访者的无糖尿病生存模式,涉及各种社会经济和人口因素。材料和方法:本研究使用了2012-2013年第四轮区级住户和设施调查(DLHS)的数据。该研究计算了5岁年龄组的生存功能,然后用Peto和Pike的测试来评估印度18个邦不同亚组之间生存模式的显著差异。结果:研究指出,被调查者的无糖尿病生存受到居住地、性别、社会群体、生活水平(财富)指数、居住地等因素的影响。结论:建议社区及时发现、筛查和治疗非传染性疾病以及姑息治疗,以预防糖尿病。需要提倡健康的生活方式,包括健康饮食、定期体育活动和避免吸烟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Diabetes-free life in India: Application of survival function analysis
Background:India being a diverse country has an assortment of various socio-economic and demographic structures. These socio-economic and demographic factors often intervene with the diabetes-free survival in any geographical region. The present study explores diabetes-free survival patterns of adult respondents with respect to various socio-economic and demographic factors in eighteen states of India with better demographic indicators. Material and Methods:The study utilizes data from the fourth round of the District Level Household and Facility Survey (DLHS) undertaken during 2012–2013. The study computes the survival functions by five year age groups followed by Peto and Pike's test for assessing the significant differences in the survival pattern between the various sub-groups in 18 states of India. Results:The study points out that the diabetes-free survival of a respondent is affected by factors such as the place of residence, sex, social group, the standard of living (wealth) index, and region of residence. Conclusions:Timely detection, screening, and treatment of non-communicable diseases, as well as palliative care, are recommended to the community for diabetes prevention. A healthy lifestyle including healthy diet, physical activity on regular basis, and avoiding tobacco needs to be promoted.
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