Dataset Information

Children's Intake of Food from Non-Fast-Food Outlets and Child-Specific Menus: A Survey of Parents.

ABSTRACT: Eating out-of-home is associated with higher energy intakes in children. The continued high prevalence of childhood obesity requires a greater understanding of child menu options and eating out frequency to inform appropriate regulatory initiatives. The majority of studies to date have focused on menus from fast-food outlets with few focused on non-fast-food outlets. This study aimed to describe parents' reports of their child(ren)'s (aged up to 6 years) frequency of consuming foods at non-fast-food outlets, observations of child menus at these outlets, and their purchasing behaviours and future preferences regarding these menus; and if their responses were influenced by sociodemographic characteristics. Ninety-five parents completed a 15-item cross-sectional survey. Overall, children from 54% of families consumed food from non-fast-food outlets at least monthly. Of the 87 parents who reported that their child eats at a non-fast-food restaurant, 71 had children who ordered from child menus every time (7%, n = 5), often (29%, n = 22), sometimes (42%, n = 32) or rarely (16%, n = 12), with a further 7% (n = 5) never ordering from these menus. All parents indicated that they would like to see a higher proportion of healthy child menu items than is currently offered. Parents' responses were not influenced by sociodemographic characteristics. Parents' views support implementation of initiatives to increase availability of healthy options on child menus at non-fast-food outlets.

SUBMITTER: Chai LK

PROVIDER: S-EPMC6915613 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature

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Children's Intake of Food from Non-Fast-Food Outlets and Child-Specific Menus: A Survey of Parents.

Chai Li Kheng LK Yoong Sze Lin SL Bucher Tamara T Collins Clare E CE Shrewsbury Vanessa A VA

Children (Basel, Switzerland) 20191101 11

Eating out-of-home is associated with higher energy intakes in children. The continued high prevalence of childhood obesity requires a greater understanding of child menu options and eating out frequency to inform appropriate regulatory initiatives. The majority of studies to date have focused on menus from fast-food outlets with few focused on non-fast-food outlets. This study aimed to describe parents' reports of their child(ren)'s (aged up to 6 years) frequency of consuming foods at non-fast- ...[more]

PMID: 31683781

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Project description:BackgroundEvidence on the association between the presence of fast-food outlets and Body Mass Index (BMI) is inconsistent. Furthermore, mechanisms underlying the fast-food outlet presence-BMI association are understudied. We investigated the association between the number of fast-food outlets being present and objectively measured BMI. Moreover, we investigated to what extent this association was moderated by neighbourhood socio-economic status (NSES) and healthy food outlets. Additionally, we investigated mediation by frequency of fast-food consumption and amount of fat intake.MethodsIn this cross-sectional study, we used baseline data of adults in Lifelines (N = 149,617). Geo-coded residential addresses were linked to fast-food and healthy food outlet locations. We computed the number of fast-food and healthy food outlets within 1 kilometre (km) of participants' residential addresses (each categorised into null, one, or at least two). Participants underwent objective BMI measurements. We linked data to Statistics Netherlands to compute NSES. Frequency of fast-food consumption and amount of fat intake were measured through questionnaires in Lifelines. Multivariable multilevel linear regression analyses were performed to investigate associations between fast-food outlet presence and BMI, adjusting for individual and environmental potential confounders. When exposure-moderator interactions had p-value < 0.10 or improved model fit (∆AIC ≥ 2), we conducted stratified analyses. We used causal mediation methods to assess mediation.ResultsParticipants with one fast-food outlet within 1 km had a higher BMI than participants with no fast-food outlet within 1 km (B = 0.11, 95% CI: 0.01, 0.21). Effect sizes for at least two fast-food outlets were larger in low NSES areas (B = 0.29, 95% CI: 0.01, 0.57), and especially in low NSES areas where at least two healthy food outlets within 1 km were available (B = 0.75, 95% CI: 0.19, 1.31). Amount of fat intake, but not frequency of fast-food consumption, explained this association for 3.1%.ConclusionsParticipants living in low SES neighbourhoods with at least two fast-food outlets within 1 km of their residential address had a higher BMI than their peers with no fast-food outlets within 1 km. Among these participants, healthy food outlets did not buffer the potentially unhealthy impact of fast-food outlets. Amount of fat intake partly explained this association. This study highlights neighbourhood socio-economic inequalities regarding fast-food outlets and BMI.

Project description:BACKGROUND:Despite increased attention on retail food environments and fast food consumption, results from previous studies have been inconsistent. Variation in measurement of exposure to retail food environments and the context of the built environment are possible reasons for inconsistencies. The purpose of the current study is to examine the association between exposure to fast food environment and fast food consumption among young adults, and to explore possible associations between built environment and fast food consumption. METHODS:We employed an observational, cross-sectional study design. Cross-sectional surveys were conducted in 2016 and 2017. In a sample of 591 young adults aged 16-30?years in five Canadian cities, we constructed and computed individual-level time-weighted number and ratio of fast food outlets in activity spaces derived from GPS trajectory data. Negative binomial regression models estimated the associations between exposure measures and frequency of fast food consumption (number of times consuming fast food meals in a seven-day period), controlling for built environment characterization and individual-level characteristics. RESULTS:Significant positive associations were found between time-weighted number of fast food outlets and count of fast food meals consumed per week in models using a radius of 500?m (IRR?=?1.078, 95% CI: 0.999, 1.163), 1?km (IRR?=?1.135, 95% CI: 1.024, 1.259), or 1.5?km (IRR?=?1.138, 95% CI: 1.004, 1.289) around GPS tracks, when generating activity spaces. However, time-weighted ratio of fast food outlets was only significantly associated with count of fast food meals consumed when a radius of 500?m is used (IRR?=?1.478, 95% CI: 1.032, 2.123). The time-weighted Active Living Environment Index with Transit measure was significantly negatively related to count of fast food meals consumed across all models. CONCLUSIONS:Our study demonstrated associations of time-weighted activity space-based exposure to fast food outlets and fast food consumption frequency in a sample of young adults in urban Canada, and provides evidence of the association between context of built environment and fast food consumption, furthering discussion on the utility of individual-level, activity space-based data and methods in food environment research. These results imply that both food retail composition and activity spaces in urban areas are important factors to consider when studying diets.

Dataset Information

Children's Intake of Food from Non-Fast-Food Outlets and Child-Specific Menus: A Survey of Parents.

Publications

Children's Intake of Food from Non-Fast-Food Outlets and Child-Specific Menus: A Survey of Parents.

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