Dataset Information

Predicting future weight status from measurements made in early childhood: a novel longitudinal approach applied to Millennium Cohort Study data.

ABSTRACT:

Background/objective

There are reports that childhood obesity tracks into later life. Nevertheless, some tracking statistics such as correlations do not quantify individual agreement, whereas others such as diagnostic test statistics can be difficult to translate into practice. We aimed to employ a novel analytic approach, based on ordinal logistic regression, to predict weight status of 11-year-old children from measurements at age 5 years.

Subjects/methods

The UK 1990 growth references were used to generate clinical weight status categories of 12?076 children enrolled in the Millennium Cohort Study. Using ordinal regression, we derived the predicted probability (percent chances) of 11-year-old children becoming underweight, normal weight, overweight, obese and severely obese from their weight status category at age 5 years.

Results

The chances of becoming obese (including severely obese) at age 11 years were 5.7% (95% confidence interval: 5.2 to 6.2%) for a normal-weight 5-year-old child and 32.3% (29.8 to 34.8%) for an overweight 5-year-old child. An obese 5-year-old child had a 68.1% (63.8 to 72.5%) chance of remaining obese at 11 years. Severely obese 5-year-old children had a 50.3% (43.1 to 57.4%) chance of remaining severely obese. There were no substantial differences between sexes. Nondeprived obese 5-year-old boys had a lower probability of remaining obese than deprived obese boys: -21.8% (-40.4 to -3.2%). This association was not observed in obese 5-year-old girls, in whom the nondeprived group had a probability of remaining obese 7% higher (-15.2 to 29.2%). The sex difference in this interaction of deprivation and baseline weight status was therefore -28.8% (-59.3 to 1.6%).

Conclusions

We have demonstrated that ordinal logistic regression can be an informative approach to predict the chances of a child changing to, or from, an unhealthy weight status. This approach is easy to interpret and could be applied to any longitudinal data set with an ordinal outcome.

SUBMITTER: Mead E

PROVIDER: S-EPMC4817076 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature

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Publications

Predicting future weight status from measurements made in early childhood: a novel longitudinal approach applied to Millennium Cohort Study data.

Mead E E Batterham A M AM Atkinson G G Ells L J LJ

Nutrition & diabetes 20160307

<h4>Background/objective</h4>There are reports that childhood obesity tracks into later life. Nevertheless, some tracking statistics such as correlations do not quantify individual agreement, whereas others such as diagnostic test statistics can be difficult to translate into practice. We aimed to employ a novel analytic approach, based on ordinal logistic regression, to predict weight status of 11-year-old children from measurements at age 5 years.<h4>Subjects/methods</h4>The UK 1990 growth ref ...[more]

PMID: 26950481

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Project description:ObjectiveRecognising overweight and obesity is critical to prompting action, and consequently preventing and treating obesity. The present study examined the association between parental perceptions of child weight status and child's diet.MethodsParticipants were members of the Gateshead Millennium Study. Parental perception of their child's weight status was assessed using a questionnaire and compared against International Obesity Task Force cut-offs for childhood overweight and obesity when the children were aged 6-8 years old. Diet was assessed at age 6-8years old using the FAST (Food Assessment in Schools Tool) food diary method. The association between parental perception and dietary patterns as defined by Principal Components Analysis, was assessed using multivariate regression after adjustment for child's gender, child's weight status, maternal body mass index (BMI), maternal education and deprivation status.ResultsOf the 361 parents who provided complete data on confounders and on their perception of their child's weight status, 63 (17%) parents perceived their child as being of 'normal' weight or 'overweight' when they were actually 'overweight' or 'obese', respectively. After adjustment for confounders, parents who misperceived their child's weight had children with a lower 'healthy' dietary pattern score compared to children whose parents correctly perceived their weight (? = -0.88; 95% CI: -1.7, -0.1; P-value = 0.028). This association was found despite higher consumption of reduced sugar carbonated drinks amongst children whose parents incorrectly perceived their weight status compared to children whose parents perceived their weight correctly (52.4% vs. 33.6%; P-value = 0.005).ConclusionsIn conclusion, children whose parents did not correctly perceive their weight status scored lower on the 'healthy' dietary pattern. Further research is required to define parents' diets based on their perception status and to examine if a child's or parent's diet mediates the association between parental perception and child weight.

Project description:BackgroundEating behaviors may contribute to differences in body weight and diet over time. Our study aims to examine how eating behaviors of young adults relate to their current weight status and dietary patterns and to explore longitudinal associations with eating behaviors in early childhood.MethodsStudy participants are young adults (n = 698) taking part in the Quebec Longitudinal Study of Child Development. At age 22, eating behaviors were assessed using the Adult Eating Behavior Questionnaire. Dietary patterns were derived from information collected by food frequency questions. Weight status was based on self-reported data. Information on eating behaviors in childhood had been collected when participants were 2.5 to 6 years old. Pearson's correlations were used to determine associations between adult eating behaviors and body mass index. Simple and multivariate linear regression analyses were used to examine associations between eating behaviors and dietary patterns at age 22, and longitudinal associations with behaviors in early childhood. Ordinal logistic regression analyses were used to assess associations between overeating and fussy eating in childhood and weight status at age 22.ResultsBody mass index was positively correlated with Emotional overeating, Enjoyment of food, and Food responsiveness and negatively correlated with Satiety responsiveness, Emotional undereating, Slowness in eating and Hunger. A Healthy dietary pattern was positively associated with both Enjoyment of food and Hunger, and negatively associated with Food fussiness. Inversely, a Beverage-rich dietary pattern was negatively associated with Enjoyment of food and positively associated with Food fussiness. A Protein-rich pattern was positively associated with Enjoyment of food, while a High energy density pattern was positively associated with Food fussiness. Young adults with higher scores for fussy eating in early childhood were more likely to manifest Food fussiness and Emotional undereating, and less likely to adopt a Healthy dietary pattern. Young adults with higher scores for overeating in early childhood were less likely to show traits such as Slowness in eating and more likely to be overweight.ConclusionsOur findings suggest that eating behaviors in childhood have long-term influence on diet and weight status, thereby reinforcing the importance of early interventions that promote healthy eating.

Dataset Information

Predicting future weight status from measurements made in early childhood: a novel longitudinal approach applied to Millennium Cohort Study data.

Background/objective

Subjects/methods

Results

Conclusions

Publications

Predicting future weight status from measurements made in early childhood: a novel longitudinal approach applied to Millennium Cohort Study data.

Similar Datasets

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