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Table 2 Meta-analysis of the unadjusted and adjusted odds ratios for cardiovascular disease, diabetes and hypertension in participants with restricted spirometry

From: Restricted spirometry and cardiometabolic comorbidities: results from the international population based BOLD study

Unadjusted

Adjusted

 

OR

95% CI

I2% and p-value for between site heterogeneity

OR

95% CI

I2% and p-value for between site heterogeneity

Cardiovascular disease

 Male

1.67

1.34–2.08

44%;

p = 0.013

1.77

1.33–2.36

64.6%;

p < 0.001

 Female

1.56

1.26–1.93

41.7%;

p = 0.015

1.52

1.20–1.93

43.2%;

p = 0.011

 Overall

1.60

1.37–1.86

47.6%;

p = 0.003

1.54

1.33–1.79

35.2%;

p = 0.038

Hypertension

 Male

1.49

1.30–1.69

29.4%;

p = 0.062

1.56

1.37–1.78

8.6%;

p = 0.329

 Female

1.6

1.42–1.79

18.4%;

p = 0.180

1.51

1.34–1.71

13%;

p = 0.260

 Overall

1.53

1.40–1.66

19.7%;

p = 0.164

1.50

1.39–1.63

0%;

p = 0.606

Diabetes

 Male

1.86

1.59–2.18

0%;

p = 0.682

1.95

1.64–2.33

0%;

p = 0.694

 Female

1.91

1.56–2.35

44.1%;

p = 0.021

1.76

1.45–2.14

26%;

p = 0.145

 Overall

1.98

1.71–2.29

44.7%;

p = 0.008

1.86

1.59–2.17

44.9%;

p = 0.008

  1. I2 values of 0%, 25%, 50%, and 75% were respectively considered as no, low, moderate, and high heterogeneity. The following sites could not be included in the analysis due to a low number of participants reporting comorbidity or with singularity in the data: Blantyre (Malawi) for CVD, Cotonu (Benin) for diabetes, Guangzhou (China) for diabetes, Ife (Nigeria) for CVD, diabetes and hypertension, Mumbai (India) for CVD, Nampicuan Talugtug (Philippines) for diabetes, Naryn (Kyrgyztan) for diabetes, Penang (Malaysia) for CVD, Pune (India) for CVD and diabetes, Srinagar (India) for CVD and diabetes