INTERRUPTED TIME SERIES ANALYSIS USING SEGMENTED REGRESSION OF PREMATURE MORTALITY FROM NONCOMMUNICABLE DISEASE AMONG FILIPINOS

被引:0
|
作者
Pinlac, Paul Adrian V. [1 ]
Silawan, Tassanee [2 ]
Tempongko, Ma Sandra B. [3 ]
Tolabing, Ma Carmen C. [1 ]
Soonthornworasiri, Ngamphol [4 ]
机构
[1] Univ Philippines Manila, Dept Epidemiol & Biostat, Coll Publ Hlth, Manila, Philippines
[2] Mahidol Univ, Fac Publ Hlth, Dept Community Hlth, Bangkok, Thailand
[3] SEAMEO TROPMED Network, Bangkok, Thailand
[4] Mahidol Univ, Fac Trop Med, Dept Trop Hyg, 420-6 Ratchawithi Rd, Bangkok 10400, Thailand
关键词
cancer; cardiovascular disease; chronic respiratory disease; diabetes mellitus; interrupted time series analysis; noncommunicable disease;
D O I
暂无
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
The problem of increasing mortality from noncommunicable disease (NCD) in the Philippines warrants an in-depth assessment of the potential impact of NCD interventions by the national government. This research aims to compare trends before and after a critical milestone in the prevention and control of these lifestyle-related diseases, the release of the manual of operations on Prevention and Control of Chronic Lifestyle-Related Noncommunicable Diseases in the Philippines in 2010. Interrupted time series analysis with segmented regression was performed on secondary ecologic data extracted from the national mortality database maintained by the Philippine Statistics Authority-National Statistics Office. The prevention of deaths among 30-69 year-old adults secondary to the intervention was notable only for cardiovascular diseases. The intervention had minimal effect in deterring premature mortality from cancers, chronic respiratory diseases, and diabetes mellitus. This application of interrupted time series analysis with segmented regression provides pragmatic evidence as to the impact of one of the landmark national strategies on NCD prevention and control.
引用
收藏
页码:810 / 821
页数:12
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