Do mothers accurately identify their child’s overweight/obesity status during early childhood? Evidence from a nationally representative cohort study

Queally, Michelle; Doherty, Edel; Matvienko-Sikar, Karen; Toomey, Elaine; Cullinan, John; Harrington, Janas M.; Kearney, Patricia M.

doi:10.1186/s12966-018-0688-y

International Journal of Behavioral Nutrition and Physical Activity

Table 3 Multivariate Logistic Odds Ratio Models of Mother’s Misclassifications of Child Overweight Status

From: Do mothers accurately identify their child’s overweight/obesity status during early childhood? Evidence from a nationally representative cohort study

	Mode1 1: MisclassifyW2 (dependent variable =1 if mother misclassified the child’s weight status at three years old; 0 otherwise) (95% Confidence Intervals)	Model 2: MisclassifyW3 (dependent variable =1 if mother misclassified the child’s weight status at five years old; 0 otherwise) (95% Confidence Intervals)	Model 3: MisPredict (same as model 2 with the dependent variable from model 1 added as an additional explanatory variable) (95% Confidence Intervals)
Misclassify			7.261^a (6.13-8.59)
Girl	1.247^a (1.09-1.42)	1.366^a (1.17- 1. 59)	1.384^a (1. 17- 1.63)
Birth weight	1.001^a (1.00-1.00)	1.001^a (1.00- 1.00)	1.000^a (1.00-1.00)
Gestation age	0.926^a (0.88-0.96)	0.967 (0.92-1.01)	0.998 (0.94-1.05)
Breast fed	0.959 (0.83-1.11)	0.917 (0.77-1.08)	0.894 (0.74- 1.07)
Siblings	0.853 (0.71-1.01)	0.855 (0.66-1.09)	0.953 (0.71-1.26)
Child good health	1.390 (0.72-2.43)	0.612 (0.32-1.14)	0.775 (0.38- 1.58)
Education Complete Secondary	0.864 (0.65- 1.13)	0.830 (0.58-1.17)	0.817 (0.53-1.20)
Technical/vocational/non-degree	0.882 (0.68- 1.13)	0.816 (0.59- 1.11)	0.836 (0.59-1.18)
Degree/postgraduate	0.850 (0.64- 1.11)	0.702^b (0.49- .99)	0.675^b (0.46-.97)
Obese	1.508^a (1.28- 1.77)	1.721^a (1.43- 2.06)	1.630^a (1.32-2.00)
Age	3.126 (0.34- 26.6)	2.142 (0.22- 20.51)	2.166 (0.16-27.86)
Mother good health	1.078 (0.81- 1.42)	1.312 0.87- 1.96)	1.233 (0.80- 1.89)
Married	0.963 (0.80-1.14)	0.883 (0.71- 1.08)	0.924 (0.73- 1.16)
Working	1.254^a (1.07-1.45)	1.168^c (0.98-1.38)	1.125 (0.92-1.36)
Irish	1.175 (0.96- 1.43)	0.818^c (0.64- 1.03)	0.719^a (0.55-.92)
Medical card	1.024 (0.84- 1.23)	1.141 (0.92-1.40)	1.161 (0.91-1.47)
Private health insurance	0.776^a (0.65-0.92)	0.982 (0.80-1.19)	1.000 (0.80-1.23)
Doctor visits	0.993 (0.96- 1.02)	1.000 (0.95-1.04)	1.006 (0.95-1.05)
Pediatric visits	1.061 (1.01-1.14)	0.982 (0.90- 1.06)	0.946 (0.85- 1.04)
Public health nurse visits	1.079 (0.97-1.19)	0.963 (0.84- 1.09)	0.938 (0.81-1.08)
Practice nurse visits	0.896^c (0.78-1.02)	1.044 (0.84-1.28)	1.126 (0.89-1.41)
Hospital nights	1.010 (0.74`- 1.07)	0.984 (0.90- 1.06)	0.987 (0.90-1.07)
Equivalised income
2nd	0.898 (0.72-1.11)	0.876 (0.67-1.13)	0.881 (0.66-1.17)
3rd	0.816 (0.64-1.02)	0.946 (0.72- 1.23)	1.07 (0.80-1.43)
4th	0.768^b (0.60-0.98)	1.00 (0.75-1.33)	1.01 (0.74-1.38)
Highest	0.753 ^b (0.57-0.97)	0.870 (0.64- 1.18)	0.977 (0.69- 1.38)
Urban	0.908 (0.78- 1.03)	0.831^b (0.70- 0.97)	0.882 (0.74-1.04)
Observations	7587	6417	6115

Notes: The table presents estimated odds ratios from three separate binary logit models (1) “MisclassifyW2”using wave 2 of the GUI Infant Cohort, (2)“MisclassifyW3” and (3) MispredictW3 using wave 3 of the GUI Infant Cohort.. ^a denotes statistically significant at 1%, ^b denotes statistically significant at 5%, and ^c denotes statistically significant at 10%. Confidence Intervals in parathensis. Analysis is weighted to be nationally representative

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ISSN: 1479-5868

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