Examining the Effect of Partial and Complete Elimination of a Specific Disease on the Gain in Life Expectancy at Birth in India and Selected States
محل انتشار: فصلنامه تخصصی تحقیقات سلامت، دوره: 12، شماره: 2
سال انتشار: 1402
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 31
فایل این مقاله در 12 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_JCHR-12-2_010
تاریخ نمایه سازی: 21 اسفند 1402
چکیده مقاله:
Background: Life expectancy, especially life expectancy at birth is a good indicator of current health condition of the population and is estimated through life tables. The present study aims to examine the effect of partial and complete elimination of a specific disease on the gain in life expectancy at birth by sex in India and selected states using Medical Certification of Cause of Death (MCCD) secondary data for ۲۰۱۷.
Methods: Life tables were constructed for all cause-specific deaths using Greville method for both males and females separately for India and selected states. Cause-deleted life tables were also constructed for partial (۲۵%, ۵۰%, ۷۵%) and complete (۱۰۰%) elimination of ten leading cause of death groups. Gain in life expectancy was estimated as the difference between values of cause-deleted life tables and cause-specific life tables.
Results: Complete elimination of diseases of the circulatory system yielded maximum gain in life expectancy at birth in males (۱۴.۶۴ years) and in females (۱۵.۴۹ years) both in Haryana. It was followed by diseases of the respiratory system in males (۶.۴۵ years) in Jharkhand and in females (۶.۱۷ years) in Uttar Pradesh; certain infectious and parasitic diseases in males (۳.۸۲ years) in Uttar Pradesh and in females (۳.۵۸ years) in Delhi; neoplasms in males (۲.۷۱ years) and in females (۲.۱۱ years) both in Kerala. Similar results were obtained in case of remaining diseases.
Conclusions: Maximum gained years would be obtained after reducing mortality from diseases of the circulatory system. These may have implications for practical decision making in setting up health goals, allocating resources, and launching tailor-made health care programs.
کلیدواژه ها:
نویسندگان
Bal Kishan Gulati
National Institute of Medical Statistics, Ansari Nagar, New Delhi, India
Damodar Sahu
National Institute of Medical Statistics, Ansari Nagar, New Delhi, India
Saurabh Sharma
National Institute of Medical Statistics, Ansari Nagar, New Delhi, India
Vishnu Vardhana Rao M
National Institute of Medical Statistics, Ansari Nagar, New Delhi, India
مراجع و منابع این مقاله:
لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :