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Table 2 Multiple logistic regression analysis for associations with vitamin D deficiency

From: Vitamin D deficiency in northern Taiwan: a community-based cohort study

 

Univariate Odds ratio

95% CI

P value

Multivariate Odds ratio

95% CI

P value

Male

0.372

0.305–0.453

< 0.001*

0.339

0.269–0.429

< 0.001*

Age (years)

 30–40

  

Ref.

  

Ref.

 40–50

0.585

0.458–0.747

< 0.001*

0.605

0.460–0.795

< 0.001*

 50–60

0.302

0.240–0.381

< 0.001*

0.396

0.301–0.520

< 0.001*

 60–70

0.186

0.144–0.241

< 0.001*

0.309

0.223–0.430

< 0.001*

 70–80

0.124

0.083–0.187

< 0.001*

0.292

0.176–0.484

< 0.001*

  > 80

0.227

0.118–0.436

< 0.001*

0.662

0.299–1.468

0.308

Occupation

 Agriculture

  

Ref.

  

Ref.

 Fishery

1.019

0.266–3.905

0.978

1.460

0.358–5.951

0.597

 Manufacturing industry

2.637

0.810–0.584

0.107

1.666

0.477–5.824

0.424

 Government employee

4.023

1.223–13.226

0.022*

1.496

0.420–5.328

0.535

 Homemaker

3.936

1.211–12.801

0.023*

1.801

0.516–6.289

0.357

 Service industry

5.226

1.624–16.817

0.006*

2.058

0.594–7.132

0.255

Education level

 Un-educated

  

Ref.

  

Ref.

 Primary school

1.050

0.653–1.690

0.840

1.065

0.619–1.832

0.820

 Junior high school

1.276

0.784–2.077

0.326

1.051

0.586–1.884

0.868

 Senior high school

2.629

1.687–4.098

< 0.001*

1.944

1.111–3.400

0.020*

 University

4.298

2.758–6.698

< 0.001*

2.706

1.510–4.848

0.001*

 Graduate school

4.575

2.552–8.204

< 0.001*

2.915

1.390–6.115

0.005*

Residential district

 Anle

  

Ref.

  

Ref.

 Gongliao

0.509

0.386–0.670

< 0.001*

0.608

0.439–0.843

0.003*

 Ruifang

0.894

0.719–1.113

0.317

1.122

0.869–1.450

0.377

 Wanli

0.451

0.348–0.585

< 0.001*

0.500

0.373–0.670

< 0.001*

 Coffee (yes)

1.635

1.368–1.955

< 0.001*

1.170

0.943–1.453

0.154

 Tea (yes)

1.155

0.973–1.372

0.100

0.755

0.612–0.933

0.009*

 Physical activity (hours/day)

0.499

0.410–0.607

< 0.001*

0.644

0.522–0.795

< 0.001*

  1. *p value < 0.05.
  2. Statistical significance based on the Chi-square test for categorical variable
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BMC Public Health

ISSN: 1471-2458

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