Table 2 Association between potential confounders and ChEAT scores ⩾85th percentile in PROBIT, Belarus

From: Prospective associations of parental smoking, alcohol use, marital status, maternal satisfaction, and parental and childhood body mass index at 6.5 years with later problematic eating attitudes

Confounders a

N (%) of ChEAT scores ⩾22.5

OR (95% CI) b

P-value

Urban (city) (n=7956)

1300 (16.3)

1.00 (Ref)

 

Rural (village) (n=5795)

1082 (18.7)

1.08 (0.51, 2.29)

0.84

West of Belarus (n=7238)

1165 (16.1)

1.00 (ref)

 

East of Belarus (n=6513)

1217 (18.7)

1.27 (0.60, 2.69)

0.53

Age of child (years) c

 10.2–11.4 (n=4583)

844 (18.4)

  

 11.4–11.7 (n=4589)

774 (16.9)

  

 11.7–14.5 (n=4558)

758 (16.6)

0.90 (0.84, 0.96)

0.001d

Sex (female vs male) e

 Male (n=7076)

997 (14.1)

1.00 (ref)

 

 Female (n=6675)

1385 (20.8)

1.62 (1.47, 1.77)

<0.0001

Maternal education

 Incomplete secondary or common (n=4823)

865 (17.9)

  

 Advanced secondary or partial (n=7064)

1216 (17.2)

  

 Completed university (n=1864)

301 (16.2)

1.00 (0.93, 1.08)

0.97d

Paternal education

 Incomplete secondary or common secondary (n=5232)

895 (17.1)

  

 Advanced secondary or partial university (n=6328)

1127 (17.8)

  

 Completed university (n=1756)

285 (16.2)

1.04 (0.97, 1.12)

0.26d

Highest household occupation

 Manual worker/farmer (n=5571)

995 (17.9)

1.00 (ref)

 

 Non-manual worker (n=7265)

1237 (17.0)

0.99 (0.89, 1.09)

0.80

  1. Abbreviations: ChEAT, Children’s Eating Attitudes Test;34 CI, confidence interval; OR, odds ratio; PROBIT, Promotion of Breastfeeding Intervention Trial; Ref, reference group.
  2. aN-values in each row heading represent the number of individuals within each cell of that row, respectively, where percentages within each cell are proportions of the corresponding N-value. For example, 18.7% (1082/5 795) of individuals who live in rural areas have ChEAT scores ⩾22.5 compared with 16.3% (1300/7956) of individuals who live in urban areas.
  3. bAll effect-estimates account for age, sex and clustering by hospital/polyclinic and represent the OR, giving the change in odds (95% CI) of having a ChEAT score ⩾22.5 (85th percentile) per change or unit increase in the level of each binary or ordered categorical variable, respectively. For example, an OR of 1.08 (95% CI: 0.51, 2.29; P=0.84) indicates that there is a 8% increased odds of having a ChEAT score above the 85th percentile among individuals who live in rural areas compared with those who live in urban areas.
  4. cNot adjusted for age.
  5. dOR and P-value for trend.
  6. eNot adjusted for sex.
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