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To understand how dietary intake data collected via a brief ecological momentary assessment (EMA) measure compares to that of data collected via interviewer-administered 24-h dietary recalls, and explore differences in level of concordance between these two assessment types by individual- and meal-level characteristics.
Design:
Parents completed three 24-h dietary recalls and 8 d of brief EMA surveys on behalf of their child; in total, there were 185 d where dietary intake data from both EMA and 24-h recall were available. The EMA measure asked parents to indicate whether (yes/no) their child had consumed any of the nine total food items (e.g. fruit, vegetable, etc.) at eating occasions where both the child and parent were present.
Setting:
Twenty-four-hour dietary recalls were completed in person in the study participant’s home; participants completed EMA surveys using a study provided in iPad or their personal cell phone.
Participants:
A diverse, population-based sample of parent–child dyads (n 150).
Results:
Among meals reported in both the EMA and dietary recalls, concordance of reporting of specific types of food ranged from moderate agreement for meat (kappa = 0·55); fair agreement for sweets (kappa = 0·38), beans/nuts (kappa = 0·37), dairy (kappa = 0·31), fruit (kappa = 0·31) and vegetables (kappa = 0·27); and little to no agreement for refined grains, whole grains and sweetened beverages (73 % overall agreement; kappa = 0·14). Concordance of reporting was highest for breakfast and snacks, as compared with other eating occasions. Higher concordance was observed between the two measures if the meal occurred at home.
Conclusions:
Data suggest that among meals reported in both the EMA and dietary recalls, concordance in reporting was reasonably good for some types of food but only fair or poor for others.
This study is a secondary data analysis that examines the association between parent modelling of dietary intake and physical activity and the same child behaviours among different races/ethnicities using innovative, rigorous and objective measures.
Design:
Ecological momentary assessment surveys were sent to parents to assess whether their child had seen them exercise or consume food. Dietary recall data and accelerometry were used to determine dietary intake and physical activity behaviours of children.
Setting:
Participants were randomly selected from primary care clinics, serving low-income and racially/ethnically diverse families in Minnesota, USA.
Participants:
Participants were families with children aged 5–7 years old who lived with parents 50 % of the time and shared at least one meal together.
Results:
A 10 percentage point higher prevalence in parent modelling of fruit and vegetable intake was associated with 0·12 higher serving intake of those same foods in children. The prevalence of parent modelling of eating energy dense foods (10 % prevalence units) was associated with 0·09 higher serving intake of sugar-sweetened beverages. Furthermore, accelerometry-measured parent sedentary hours was strongly correlated with child sedentary time (0·37 child sedentary hours per parent sedentary hours). An exploratory interaction analysis did not reveal any statistical evidence that these relationships depended on the child’s race/ethnic background.
Conclusions:
Interventions that increase parent modelling of healthy eating and minimise modelling of energy dense foods may have favourable effects on child dietary quality. Additionally, future research is needed to clarify the associations of parent modelling of physical activity and children’s physical activity levels.
To categorize the home food environment and dietary intake of young children (5–7 years old) from racially/ethnically diverse households using objectively collected data.
Design
Cross-sectional study.
Setting
In-home observations in Minneapolis/Saint Paul, Minnesota, USA.
Subjects
Families with 5–7-year-old children who identified as Black, White, Hmong, Latino, Native American or Somali.
Results
There were many significant differences by race/ethnicity for child dietary intake and for the home food environment, with specific patterns emerging by race/ethnicity. For example, Somali children had high Healthy Eating Index-2010 (HEI-2010) scores, but low daily intakes of fruits and vegetables. Black children had low HEI-2010 scores and a pattern of low intake of healthful foods and high intake of unhealthful foods. White and Latino families had high levels of both healthful and unhealthful home food availability and children with high HEI-2010 scores.
Conclusions
Results indicate that the home food environment of young children varies across racial/ethnic group. Study findings also provide new information regarding the home food environment of young children in previously understudied racial/ethnic groups and indicate that interventions working to improve the home food environment and dietary intake of children may want to consider race/ethnicity.
Little is known about whether siblings have similar or different eating behaviours or whether parents tailor their feeding practices to different siblings. The main objectives of the present study were to examine similarities and differences in child eating behaviours and parental feeding practices with siblings and to determine whether child eating behaviours and parental feeding practices differ depending on sibling concordant (i.e. both siblings overweight or healthy weight) or discordant (i.e. one sibling overweight and one sibling healthy weight) weight status.
Design
Cross-sectional, mixed-methods study.
Setting
In-home visits were conducted by research staff. Surveys were conducted with parents and anthropometry was collected on parents and siblings.
Subjects
Children (n 88) aged 6–12 years (mean age 9 (sd 2) years), their parents (mean age 34 (sd 7) years) and near-age siblings (mean age 9 (sd 4) years) from diverse racial/ethnic and low-income households participated.
Results
Results indicated that siblings with higher BMI engaged in higher levels of emotional eating compared with siblings with lower BMI. Additionally, results indicated that when families had sibling dyads discordant on weight status, the sibling who was overweight had higher food enjoyment and lower levels of food satiety. Additionally, within siblings with discordant weight status, parents were more likely to use restrictive feeding practices with the overweight sibling and pressure-to-eat and encouragement-to-eat feeding practices with the healthy-weight sibling.
Conclusions
Family-based childhood obesity interventions may need to assess for sibling weight status when researching the home environment and intervene with parents to avoid using restriction or pressure-to-eat feeding practices when siblings are discordant on weight status.
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