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Table 4 Association between the number of metabolic abnormalities and irregular breakfast consumption, using negative binomial regression

From: Association between breakfast skipping and metabolic outcomes by sex, age, and work status stratification

 

Odds Ratio (95% Confidence Interval) referred regular breakfast group in each category

Total participants (n = 21,193)

1.05 (1.01–1.08)

 Men (n = 9022)

1.11 (1.06–1.15)

  Younger aged Men (n = 3065)

1.14 (1.06–1.23)

  Middle aged Men (n = 5957)

1.08 (1.03–1.14)

 Women (n = 12,171)

1.02 (0.98–1.07)

  Younger aged Women (n = 4254)

1.06 (0.96–1.17)

  Middle aged Women (n = 7917)

1.01 (0.96–1.07)

Non-working population (n = 11,796)

1.05 (1.00–1.10)

 Men (n = 4527)

1.07 (1.01–1.14)

  Younger aged Men (n = 1066)

1.12 (0.97–1.29)

  Middle aged Men (n = 3461)

1.04 (0.97–1.12)

 Women (n = 7269)

1.06 (1.00–1.12)

  Younger aged Women (n = 2177)

1.09 (0.96–1.25)

  Middle aged Women (n = 5092)

1.06 (0.99–1.13)

Working population (n = 9397)

1.05 (1.00–1.10)

 Men (n = 4495)

1.14 (1.08–1.21)

  Younger aged Men (n = 1999)

1.15 (1.03–1.27)

  Middle aged Men (n = 2496)

1.12 (1.04–1.20)

 Women (n = 4902)

0.99 (0.92–1.06)

  Younger aged Women (n = 2077)

1.03 (0.90–1.18)

  Middle aged Women (n = 2825)

0.96 (0.89–1.05)

  1. All models are adjusted for age, educational level, income level, smoking, alcohol drinking, and physical activity
  2. Bolds are indicated statistical significance. (p-value < 0.05)
  3. Younger population is 20–39 years old
  4. Middle-aged population is 40–59 years old