Table 3 Multivariate analysis of associations between headache types and demographic variables

Gender

 Male

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 Female

2.1 [1.7–2.7]p < 0.001

1.0 [0.9–1.2] p = 0.73

1.6 [0.7–3.7] p = 0.30

1.7 [1.0-2.7] p = 0.05

Age (years)

 18–25

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 26–35

1.0 [0.7–1.4] p = 0.84

1.2 [0.9–1.7] p = 0.20

1.1 [0.2–7.1] p = 0.91

1.8 [0.7–5.1] p = 0.24

 36–45

0.9 [0.6–1.3] p = 0.56

0.8 [0.6–1.1] p = 0.22

2.4 [0.5–12.6] p = 0.29

1.5 [0.5–4.1] p = 0.46

 46–55

0.7 [0.5-1.0] p = 0.06

1.3 [0.9–1.7] p = 0.16

1.1 [0.2–6.7] p = 0.93

1.3 [0.4–3.7] p = 0.67

 56–65

0.6 [0.4–0.9]p = 0.01

1.4 [1.0–2.0] p = 0.05

1.3 [0.2–8.1] p = 0.77

2.9 [1.0–8.0]p = 0.04

Habitation

 Urban

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 Rural

0.8 [0.6–1.1] p = 0.25

1.0 [0.8–1.3] p = 0.92

0.8 [0.2–3.2] p = 0.80

1.3 [0.6–2.6] p = 0.48

Altitude (metres)

 Low < 350

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 High 2,500-3,000

1.3 [0.9–1.9] p = 0.12

0.4 [0.3–0.6]p < 0.001

0.7 [0.1–3.3] p = 0.64

1.6 [0.8–3.4] p = 0.20

 Very high > 3,500

2.5 [1.8–3.3]p < 0.001

0.8 [0.6-1.0] p = 0.08

0.4 [0.1–2.2] p = 0.31

1.3[0.7–2.8] p = 0.41

Marital status

 Single

Reference

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 Married

1.5 [1.2-2.0]p = 0.003

1.0 [0.8–1.3] p = 0.89

1.7 [0.5–5.9] p = 0.37

1.0 [0.5-2.0] p = 0.95

 Widowed, separated, divorced

1.3 [0.9–1.9] p = 0.19

1.1 [0.8–1.5] p = 0.60

1.8 [0.4–8.4] p = 0.45

0.9 [0.4–2.1] p = 0.74

Education level

 None

0.8 [0.4–1.5] p = 0.40

0.9 [0.5–1.7] p = 0.85

7.1 [1.1–47.9]p = 0.04

1.1 [0.3–4.7] p = 0.87

 School

0.7 [0.5–0.9]p = 0.01

1.0 [0.8–1.5] p = 0.52

1.2 [0.5–3.1] p = 0.73

1.6 [0.8–3.3] p = 0.19

 College, university

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Household income (PEN)

 < 600

1.1 [0.7–1.8] p = 0.66

0.6 [0.4-1.0]p = 0.03

1.1 [0.1–13.2] p = 0.95

1.2 [0.4–3.7] p = 0.77

 600–899

1.1 [0.7–1.7] p = 0.60

0.9 [0.6–1.2] p = 0.43

1.0 [0.1–10.7] p = 0.99

0.6[0.2–1.9] p = 0.40

 900-1,299

1.0 [0.7–1.5] p = 0.95

0.9 [0.6–1.3] p = 0.53

3.4 [0.4–28.2] p = 0.25

1.2 [0.4–3.4] p = 0.75

 1,300-2,199

1.1 [0.7–1.7] p = 0.60

1.1 [0.8–1.5] p = 0.63

4.2 [0.5–34.0] p = 0.17

1.7 [0.6–4.8] p = 0.33

 ≥ 2,200

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