Dataset Information

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

ABSTRACT: OBJECTIVE:While 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. METHODS:An 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. RESULTS:1,934 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), M?ori (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. CONCLUSIONS:Almost 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.

SUBMITTER: Butler EM

PROVIDER: S-EPMC6886750 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

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

Butler Éadaoin M ÉM Derraik José G B JGB Glover Marewa M Morton Susan M B SMB Tautolo El-Shadan ES Taylor Rachael W RW Cutfield Wayne S WS

PloS one 20191202 12

<h4>Objective</h4>While 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.<h4>Methods</h4>An 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.<h4 ...[more]

PMID: 31790443

Similar Datasets

Project description:Given the importance of diet in early life, assessing children's diet is crucial to guide interventions. Using data from a nationally generalizable New Zealand (NZ) birth cohort we examined children's dietary patterns at 9- (n = 6259), 24- (n = 6292), and 54-months (n = 6131), and their association with maternal sociodemographic and health behaviours. At each time-point, children's dietary patterns were identified using principal components analysis. We then used multivariate linear regression to examine associations between each pattern and maternal variables. At 9-, 24- and 54-months, two dietary patterns were identified, explaining 36.4%, 35.3% and 33.6% of children's intake variability, respectively. Refined high in sugar, salt and fat dietary pattern, at all time-points, was characterized by high positive loadings in white/refined breads and cereals, and items with high sugar, sodium, and fat content. At 24-months, Refined high in sugar, salt and fat also included a high positive loading with protein food groups. Fruit and vegetables dietary pattern, at all time-points, had high positive loadings for fruits and vegetables (with type varying across time-points). Fruit and vegetables also included high loading in whole grain options of breads and cereals at 24-months and the protein food group was part of this dietary pattern at 9- and 54-months. Children's scores on the Refined high in sugar, salt and fat pattern had strong associations with maternal smoking habits, education level, ethnicity, and maternal scores in the "Junk" and "Traditional/White bread" dietary patterns (constructed from an antenatal interview). Children's scores on the Fruit and vegetables pattern had strong associations with the maternal scores in the dietary pattern "Health Conscious". Interventions to improve diet in early life in NZ need to be responsive to ethnicity and suitable for people of all education levels. Interventions that improve maternal health behaviours may also improve children's diet.

Dataset Information

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

Publications

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

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets