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. Author manuscript; available in PMC: 2016 Dec 27.
Published in final edited form as: Eur J Clin Invest. 2015 Aug 7;45(9):955–963. doi: 10.1111/eci.12498

Table 2.

Possible determinants of vitamin D deficiency. Univariate logistic regression analysis

Univariate –
logistic regression
Explanatory variables OR P
Age, years 0·98 0·003

Sex (men) 1·1 0·6

Ethnicity (African American vs. Caucasian) 4·7 < 0·001

Ethnicity (Other vs. Caucasian) 1·3 0·4

Season (summer) 0·7 0·06

BMI, kg/m2 1·1 < 0·001

Systolic blood pressure, mmHg 1·01 0·01

Diastolic blood pressure, mmHg 1·03 0·003

OMA index 1·1 0·01

FEV1/FVC 2·5 0·4

Cholesterol, mg/dL 1·001 0·6

Haemoglobin, g/dL 0·96 0·5

Obesity 2·3 < 0·001

Insulin resistance 1·6 0·1

Hypertension 1·7 0·2

Hypercholesterolaemia 1·4 0·1

Airflow limitation (FEV1/FVC < LLN) 1·1 0·7

Anaemia 0·8 0·5

Seconds to perform 6 m walk 1·1 0·5

Baltimore Longitudinal Study of Aging physical activity category

  0 vs. 1 0·5 0·03

  0 vs. 2 0·3 < 0·001

  0 vs. 3 0·4 0·004

Smoking

  Current smoker vs. never smoker 1·3 0·5

  Former smoker vs. never smoker 0·95 0·8

The values highlighted in bold are statistically significant (P-value < 0.05).

BMI, body mass index; FVC, forced vital capacity.