PLoS ONE (Jan 2019)

Acceptability of early childhood obesity prediction models to New Zealand families.

  • Éadaoin M Butler,
  • José G B Derraik,
  • Marewa Glover,
  • Susan M B Morton,
  • El-Shadan Tautolo,
  • Rachael W Taylor,
  • Wayne S Cutfield

DOI
https://doi.org/10.1371/journal.pone.0225212
Journal volume & issue
Vol. 14, no. 12
p. e0225212

Abstract

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ObjectiveWhile prediction models can estimate an infant's risk of developing obesity at a later point in early childhood, caregiver receptiveness to such information is largely unknown. We aimed to assess the acceptability of these models to New Zealand caregivers.MethodsAn anonymous questionnaire was distributed online. The questionnaire consisted of multiple choice and Likert scale questions. Respondents were parents, caregivers, and grandparents of children aged ≤5 years.Results1,934 questionnaires were analysed. Responses were received from caregivers of various ethnicities and levels of education. Nearly two-thirds (62.1%) of respondents would "definitely" or "probably" want to hear if their infant was at risk of early childhood obesity, although "worried" (77.0%) and "upset" (53.0%) were the most frequently anticipated responses to such information. With lower mean scores reflecting higher levels of acceptance, grandparents (mean score = 1.67) were more receptive than parents (2.10; p = 0.0002) and other caregivers (2.13; p = 0.021); males (1.83) were more receptive than females (2.11; p = 0.005); and Asian respondents (1.68) were more receptive than those of European (2.05; p = 0.003), Māori (2.11; p = 0.002), or Pacific (2.03; p = 0.042) ethnicities. There were no differences in acceptance according to socioeconomic status, levels of education, or other ethnicities.ConclusionsAlmost two-thirds of respondents were receptive to communication regarding their infant's risk of childhood obesity. While our results must be interpreted with some caution due to their hypothetical nature, findings suggest that if delivered in a sensitive manner to minimise caregiver distress, early childhood obesity risk prediction could be a useful tool to inform interventions to reduce childhood obesity in New Zealand.