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Spatial Clustering and Local Risk Factors of Chronic Obstructive Pulmonary Disease (COPD)

Bibliographic Data

ID15461997
AuthorsTa‐chien Chan (0000-0002-1685-783X, Research Center for Humanities and Social Sciences, Academia Sinica), Hsuan-Wen Wang (Pingtung Hospital), Tzu‐Jung Tseng (Fu Jen Catholic University), Tzu-Jung Tseng (0000-0002-1628-9852, Research Center for Humanities and Social Sciences, Academia Sinica, Taipei 115, Taiwan), Po‐Huang Chiang (National Health Research Institutes, corresponding author), Po-Huang Chiang (0000-0003-2299-4651, National Health Research Institutes)
Year2015
Volume12
Issue12
Pages15716-15727
Publication date2015-12-10
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph121215014
PMID26690457
OpenAlexW2192249506
LanguageEN
References cited17

Chronic obstructive pulmonary disease (COPD) mortality has been steadily increasing in Taiwan since 2009. In order to understand where the hotspot areas are and what the local risk factors are, we integrated an ecological and a case-control study. We used a two-stage approach to identify hotspots and explore the possible risk factors for developing COPD. The first stage used the annual township COPD mortality from 2000 to 2012 and applied the retrospective space-time scan statistic to calculate the local relative risks in each township. In the second stage, we conducted a case-control study, recruiting 200 patients from one local hospital within the one identified hotspot area located in southern Taiwan. Logistic regression was applied for analyzing the personal risk factors of COPD. The univariate analyses showed that higher percentages of aborigines, patients with tuberculosis (TB) history, and those with smoking history had COPD (p < 0.05). After controlling for demographic variables, aboriginal status (adjusted odds ratios (AORs): 3.01, 95% CI: 1.52-5.93) and smoking history (AORs: 2.64, 95% CI: 1.46-4.76) were still the two significant risk factors. This two-stage approach might be beneficial to examine and cross-validate the findings from an aggregate to an individual scale, and can be easily extended to other chronic diseases

Case-control study · COPD · Disease · Environmental health · Logistic regression · Multivariate analysis · Odds ratio · Pulmonary disease · Retrospective cohort study · Scan statistic · Statistic · Statistics · Univariate analysis · Chronic Obstructive Pulmonary Disease (COPD) Research · Data-Driven Disease Surveillance · Health disparities and outcomes · Medicine · Internal Medicine

  • Rural‐Urban Disparities in Quality of Life Among Patients With COPD

    Open Access•Bradford E Jackson, David Coultas et al.•The Journal of Rural Health•2013

  • Evaluating cluster alarms

    Martin Kulldorff, W F Athas et al.•American Journal of Public Health•1998

Citation velocityhistorical
Highly citedNo

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