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Table 1 Socio-demographics and their associations with a migraine-positive diagnosis

From: Employees of the banking sector in Guizhou Province in China: prevalence of migraine, symptoms, disability and occupational risk factors

Characteristics

Weighted N (%) a

Migraine diagnosis

Chi-square (p-value)

Multivariable analysis

OR (95% CI)

Positive N (%)a

Negative N (%)a

Total

1929 (100)

525 (27.2)

1404 (72.8)

  

Age (years)

   

26.6 (0.000)***

 

 18–29

428 (22.2)

80 (18.7)

348 (81.3)

 

Reference

 30–39

465 (24.1)

157 (33.8)

307 (66.2)

 

2.2 (1.6–3.1)***

 40–49

529 (27.4)

152 (28.7)

378 (71.3)

 

2.0 (1.4–2.8)***

 50–60

507 (26.3)

136 (26.8)

371 (73.2)

 

2.0 (1.4–2.8)***

Sex

   

4.2 (0.041)*

 

 Male

876 (45.4)

219 (25.0)

654 (75.0)

 

Reference

 Female

1053 (54.6)

307 (29.2)

746 (70.9)

 

1.3 (1.0–1.6)*

Education

   

15.7 (0.001)**

 

 Senior Secondary School or below

119 (6.2)

24 (20.3)

94 (79.7)

 

Reference

 College

263 (13.6)

57 (21.7)

206 (78.3)

 

1.1 (0.6–1.9)

 University

1379 (71.5)

381 (27.6)

999 (72.4)

 

1.5 (0.9–2.4)

 Graduate or above

168 (8.7)

63 (37.3)

106 (62.7)

 

2.2 (1.2–4.0)*

Positionb

   

29.4 (0.000)***

 

 Cash operation

369 (19.1)

95 (25.8)

273 (74.2)

 

Reference

 Marketing and loan services

843 (43.7)

195 (23.1)

648 (76.9)

 

0.9 (0.7–1.2)

 General affairs

381 (19.8)

115 (30.2)

266 (69.8)

 

1.2 (0.9–1.7)

 Data analysis

132 (6.8)

51 (38.4)

82 (61.6)

 

1.8 (1.2–2.8)**

 Finance

121 (6.3)

41 (33.9)

80 (66.1)

 

1.5 (0.9–2.3)

 Management

35 (1.8)

8 (22.9)

27 (77.1)

 

0.9 (0.4–2.1)

 Information technology (IT)

29 (1.5)

15 (51.7)

14 (48.3)

 

3.8 (1.7–8.3)**

 Risk control

19 (1.0)

5 (25.0)

15 (75.0)

 

0.9 (0.3–2.8)

Location of work

   

1.3 (0.248)

 

 Urban

1671 (86.6)

317 (25.6)

923 (74.4)

 

Reference

 Rural

258 (13.4)

208 (30.2)

481 (69.8)

 

1.3 (1.0–1.8)

Relationship status

   

4.8 (0.029)*

 

 Married or in a relationship

1240 (64.3)

317 (25.6)

923 (74.4)

 

Reference

 Not in a relationship

689 (35.7)

208 (30.2)

481 (69.8)

 

1.4 (1.1–1.8)**

Monthly salary (Â¥)

   

10.7 (0.013)*

 

 Under 5,000

417 (21.6)

89 (21.3)

328 (78.7)

 

Reference

 5,001–8,000

726 (37.7)

210 (28.9)

516 (71.1)

 

1.4 (1.0–1.9)*

 8,001–11,000

440 (22.8)

134 (30.5)

306 (69.5)

 

1.4 (1.0–2.0)*

 Above 11,001

346 (17.9)

52 (26.6)

147 (73.4)

 

1.2 (0.8–1.7)

  1. Abbreviations: N Number, OR Odds Ratio, CI Confidence Interval
  2. Significance level of 0.05; * p < 0.05; ** p < 0.01; *** p < 0.001
  3. aWeighted number and percentage
  4. bThe position classification in this study is different from the International Standard Classification of Occupations (ISCO). This is because the ISCO comprises 10 major groups (e.g., legislators, skilled agricultural, forestry and fishery workers, and craft and related trade workers), making the ISCO more suitable for large surveys or censuses and difficult to apply directly to industry-specific studies. To be prudent, we had consulted three human resources managers of banks prior to our survey on the content validity of the position classification, and they made suggestions and ultimately endorsed its relevance and comprehensiveness
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The Journal of Headache and Pain

ISSN: 1129-2377

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