Logo image
Back
Lung cancer mortality in China: spatial and temporal trends among subpopulations
Journal article   Peer reviewed

Lung cancer mortality in China: spatial and temporal trends among subpopulations

Ning Wang, Kerrie Mengersen, Shilu Tong, Michael G Kimlin, Maigeng Zhou, Lijun Wang and Wenbiao Hu
Chest, Vol.156(5), pp.972-983
2019
DOI: https://doi.org/10.1016/j.chest.2019.07.023
url
https://doi.org/10.1016/j.chest.2019.07.023View
Published Version

Abstract

lung cancer mortality spatial trend temporal trend subpopulation China
Background: The study aimed to identify changing spatial and temporal trends of lung cancer mortality rates (LCMRs) among subpopulations in China (ie., region, age, and sex). Methods: Data on LCMRs from 2006 to 2015 were extracted from the Chinese National Death Surveillance. Joinpoint regression and seasonal decomposition were used to assess the temporal trends. Geographic information system and spatial kriging interpolation were used to examine the spatial trends. Results: LCMR in men aged 30 to 49 significantly declined nationally from 2009 to 2015 (annual percentage change: -2.7%, P&0.05), but they continued to rise in men aged 70+ and women aged 50+ in the east, people aged 50 to 69 in the south, and most groups in the southwest. Among provincial capital cities, Shenyang, Changsha, and Hohhot had the highest ten-year average LCMR for men aged 30 to 49, 50 to 69, and 70+, respectively, while among all ages of women, Harbin had the highest average LCMR. Over the ten years, the odds of the increases in LCMRs in men and women aged 30 to 69 decreased by 3% to 7% with the longitudes or latitudes increasing by 1° (ORs ranged from 0.93 (95%CI 0.90-0.95) to 0.97 (95%CI 0.95-0.99)). Conclusions: Disparities in the spatial and temporal trends of LCMRs among subpopulations highlight the need for investigation into potential drivers, especially for the east, south, and southwest of China. These findings may help health authorities target interventions to those most in need in order to reduce lung cancer burden in China.

Details

Metrics

90 Record Views
16 Times Cited - Web of Science

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types
Domestic collaboration
International collaboration
Web Of Science research areas
Critical Care Medicine
Respiratory System

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

Source: InCites

Logo image