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Original Research

Associated Factors and Comorbidities of Airflow Limitation in Subjects Undergoing Comprehensive Health Examination in Japan – Survey of Chronic Obstructive Pulmonary Disease Patients Epidemiology in Japan (SCOPE- J)

ORCID Icon, , , , ORCID Icon & ORCID Icon
Pages 3039-3050 | Published online: 23 Nov 2020

Figures & data

Table 1 Subject Characteristics by Presence or Absence of Airflow Limitation, Chronic Cough/Phlegm or Currently Treated Respiratory Diseases

Table 2 Associations of Participant Characteristics with Having at Least One of Airflow Limitation, Chronic Cough/Phlegm, and Currently Treated Respiratory Diseases (Logistic Regression Analysis)

Table 3 Odds Ratios for Comorbid Diabetes Mellitus with Different Objective Variable Settings (Logistic Regression Analyses)

Figure 1 Cluster dendrogram of subjects by comorbidities. The “height” on the vertical axis indicates the dissimilarity/distance between clusters. The higher “height” represents less similarity between clusters. (A) Ever-smokers (n = 487) were first divided into SO cluster (overweight) and others, followed by SC (CKD) and SI (inflammation), in order. (B) Never-smokers (n = 276) were first divided into NC (CKD) and others, followed by NO (overweight) and NU (underweight), in order.

Figure 1 Cluster dendrogram of subjects by comorbidities. The “height” on the vertical axis indicates the dissimilarity/distance between clusters. The higher “height” represents less similarity between clusters. (A) Ever-smokers (n = 487) were first divided into SO cluster (overweight) and others, followed by SC (CKD) and SI (inflammation), in order. (B) Never-smokers (n = 276) were first divided into NC (CKD) and others, followed by NO (overweight) and NU (underweight), in order.

Figure 2 The prevalence of each comorbid disease sorted by the comorbid clusters (excluding no comorbidity cluster) among ever-smokers (A, n=487) and never-smokers (B, n=276). For example, among ever-smokers, 34.9% of SI cluster, 100% of SO cluster, 33.6% of SC cluster and 21.3% of SM cluster had OW (overweight).

Abbreviations: OW, overweight; UW, underweight; Inf, inflammation; CKD, chronic kidney disease; MI, myocardial infarction; AP, angina pectoris; Cer, cerebrovascular disease; OP, osteoporosis; Fra, fracture; Dep, depression; Anx, anxiety disorder; Sle, sleep disorder; DM, diabetes mellitus; LC, lung cancer.
Figure 2 The prevalence of each comorbid disease sorted by the comorbid clusters (excluding no comorbidity cluster) among ever-smokers (A, n=487) and never-smokers (B, n=276). For example, among ever-smokers, 34.9% of SI cluster, 100% of SO cluster, 33.6% of SC cluster and 21.3% of SM cluster had OW (overweight).

Table 4 Characteristics of Comorbidity-Based Clusters