Abstract
Mealtimes in families with young children are increasingly of interest to nutrition and public health researchers, yet assessment tools are limited. Meals in our Household is a new parent-report questionnaire that measures six domains: 1) structure of family meals, 2) problematic child mealtime behaviors, 3) use of food as reward, 4) parental concern about child diet, 5) spousal stress related to child's mealtime behavior, and 6) influence of child's food preferences on what other family members eat. Reliability and initial face, construct, and discriminant validity of the questionnaire were evaluated between January 2007 and December 2009 in two cross-sectional studies comprising a total of 305 parents of three- to eleven-year-old children (including 53 children with autism spectrum disorders). Internal consistencies (Cronbach's alpha) for the six domains averaged 0.77 across both studies. Test-retest reliability, assessed among a subsample of 44 parents who repeated the questionnaire after between 10 and 30 days, was excellent (Spearman correlations for the domain scores between two administrations ranged from 0.80 to 0.95). Initial construct validity of the instrument was supported by observation of hypothesized interrelationships between domain scores which were of the same direction and similar magnitude in both studies. Consistent with discriminant validity, children with autism spectrum disorders had significantly higher domain scores for problematic child mealtime behaviors, use of food as reward, parental concern about child diet, and spousal stress, compared to typically developing children. Meals in our Household may be a useful tool for researchers studying family mealtime environments and children's mealtime behaviors.
Keywords: Family mealtimes, child behavior, questionnaire development
Introduction
Family mealtime routines, and food-related parenting practices and concerns are increasingly appreciated as potential factors in the development of child eating habits, family functioning and obesity (1-3). Growing evidence indicates that family meals are associated with many positive outcomes for youth. Adolescents who frequently eat meals with their family have more healthful diets (4-6), lower prevalence of obesity (7), better psychosocial health (8), and particularly among girls, fewer disordered eating behaviors (9-10). Positive benefits of family meals are also presumed for younger children, but have received less study. Mealtime behavior is one aspect of family meals that may be particularly important for families with young children. The health benefits of family meals may be mediated by greater family cohesion and communication (3, 11), and assessment tools that evaluate multiple domains of children's mealtime experiences, their behavior during mealtimes, and its impact on the family are needed to facilitate such research.
Among existing parent-report questionnaires, none comprehensively measure children's mealtime behavior and its effect on the family in preschool and school-age children. Many instruments focus on parental concerns regarding children's weight status, parenting strategies and practices toward child feeding, or child eating styles (12-18). Fewer questionnaires assess children's behavior at meals (19-22), or family mealtime environments (23-27). The Mealtime Behavior Questionnaire measures the frequency during the past week of mealtime behavior problems among two- to six-year-old children (19). The Children's Eating Behavior Inventory (21) and the Behavioral Pediatric Feeding Assessment Scale (22) have been used to assess feeding problems in children with special health care needs (28-30). However, these questionnaires (21-22), as well as one designed for children with autism (31), have less applicability to typically developing children.
Results of test-retest reliability, internal consistency, face, construct, and discriminant validity for a new parent-report questionnaire, titled Meals in our Household, are presented in this report. Meals in our Household measures the domains of family meal structure and environment, children's mealtime behavior and its impact on the family, parental concerns about children's diet, and use of food as a reward. The questionnaire was designed for families with children between the ages of three and eleven years, across sociodemographic strata and irrespective of a child's developmental disability status; it was evaluated in two populations differing in their sociodemographic characteristics and child disability status.
Methods
Meals in our Household: development
The Meals in our Household questionnaire was developed to characterize mealtime behaviors and environments of three- to eleven-year-old children across six domains: 1) “Structure of Family Meals” assesses the frequency the child is exposed to traditionally structured family meals; 2) “Problematic Child Mealtime Behaviors” assesses the frequency of problematic behaviors the child may exhibit at mealtimes and the extent to which the parent considers them problematic; 3) “Use of Food as a Reward” assesses how frequently the parent uses food to reward or manage the child's behavior; 4) “Parental Concern about Child Diet” measures how concerned the parent is about what the child does or does not eat; 5) “Spousal Stress Related to Child's Mealtime Behavior” assesses the extent to which the parent believes the child's mealtime behavior negatively impacts their spouse or partner, and/or is a source of stress in their relationship; 6) “Influence of Child's Food Preferences” measures how much the child's food preferences impact what other family members eat.
Items (see Table 1) were developed based on review of the literature, discussions with an interdisciplinary team of researchers and clinicians, including dietitians, epidemiologists, clinical social workers, and occupational and physical therapists, as well as examination of existing instruments (12-14, 21-22, 25, 32). The Children's Eating Behavior Inventory (21) and the Behavioral Pediatric Feeding Assessment Scale (22) provide parents the opportunity to report the frequency with which their child displays behaviors that could be considered problematic, and asks them to indicate whether or not the behavior actually is problematic for the family. This idea was expanded upon in Meals in our Household by asking parents to report how much of a problem the behavior was for them (i.e., not a problem, small problem, medium problem, large problem). The Children's Eating Behavior Inventory (21) also influenced creation of the domain of “Spousal Stress Related to Child's Mealtime Behavior”. The “Use of Food as Reward” domain was influenced by items from the Child Feeding Questionnaire (14) and the Comprehensive Feeding Practices Questionnaire (17).
Table 1. Meals in our Household Questionnaire - Items, Instructions, & Scoring.
Domain | Structure of Family Meals |
---|---|
Instruction | Mealtimes are different for different families. We are interested in what meals are like in your household. For each of the following items, please choose how often the statement describes mealtimes with your child and/or in your household. |
|
|
Response options | Never (0), Rarely (1), Sometimes (2), Often (3), Always or Almost Always (4) R=reverse coded |
Items |
|
| |
Domain | Problematic Child Mealtime Behaviors |
| |
Instruction | Children's behavior at mealtimes can be an issue for parents and in families. Sometimes children behave well at meals and sometimes they could behave better. Parents also have different expectations for children's behavior at meals. For each of the following statements, please choose how often the statement describes your child's behavior during the past 3 months, and for each statement choose how much of a problem that aspect of your child's behavior is for you. Please note that a behavior that occurs often may be a large problem in one family and may be not a problem or a small problem in another family. Likewise, a behavior that occurs rarely may be a large problem or may be not a problem. |
|
|
Response options | i: Never (0), Rarely (1), Sometimes (2), Often (3), Very Often (4) j: Not a problem (0), Small problem (1), Medium problem (2), Large problem (3) |
|
|
Items |
|
| |
Domain | Use of Food as a Reward |
| |
Instruction | Parents use many ways to reward and encourage children. For each of the following, please tell us, by checking one box per row, how often the statement describes you and/or your child. |
|
|
Response Options | Never (0), Rarely (1), Sometimes (2), Often (3), Very Often (4) |
|
|
Items |
|
| |
Domain | Parental Concern about Child's Diet |
| |
Instruction | Some parents have concerns about what their child eats and other parents have few or no concerns about what their child eats. For each of the following, please rate how concerned you are. |
|
|
Response Options | Not at all concerned (0), A little concerned (1), Somewhat concerned (2), Quite concerned (3), Very concerned (4), Extremely concerned (5) |
|
|
Items |
|
| |
Domain | Spousal Stress Related to Child's Mealtime Behaviors |
| |
Instruction | If you have a spouse or partner who lives with you, please tell us how much you agree or disagree with the following statements. |
|
|
Response options | Strongly Disagree (1), Disagree (2), Neither Agree nor Disagree (3), Agree (4), Strongly Agree (5) |
|
|
Items |
|
| |
Domain | Influence of Child's Food Preferences on what other Family Members Eat |
| |
Response options |
i: Never (0), Rarely (1), Sometimes (2), Often (3), Always or Almost Always (4) j: Strongly Disagree (1), Disagree (2), Neither Agree nor Disagree (3), Agree (4), Strongly Agree (5) |
|
|
Items |
Assessed if living with a spouse/partner.
Assessed if more than one child in household.
Meals in our Household was designed as a self-report questionnaire to be completed by the parent/guardian of a child between the ages of 3.0 and 11.9 years. The questionnaire design and wording of items and instructions were constructed with the goal of minimizing complexity, and were refined after pre-testing with a convenience sample of ten parents of children in the target age range. The process was iterative and served to identify and remediate problems associated with question wording and design. Following revision, the interdisciplinary research team reviewed the instrument for face validity. Table 1 presents the items, response options, and instructions for each section of the questionnaire.
Participants
Reliability and initial validity of the questionnaire were evaluated in two distinct study samples that differed relative to sociodemographic characteristics and inclusion of children with developmental disabilities. In both samples, participants were parents of three-to eleven-year-old children. Throughout this report these two samples are referred to as CHAMPS (Children's Activity and Meal Patterns Study) and the Ohio study.
CHAMPS was conducted between January 2007 and December 2008 at the University of Massachusetts Medical School, Eunice Kennedy Shriver Center in Waltham, Massachusetts (33). Participants were parents of children with autism spectrum disorders (n=53) and parents of typically developing children (n=58). Autism is more prevalent among males (34), and typically developing children in CHAMPS were recruited to have a similar gender distribution. Recruitment and exclusion criteria for CHAMPS have been described (33). Parents completed Meals in our Household while their child completed other aspects of the CHAMPS protocol. The study was approved by the University of Massachusetts Medical School Institutional Review Board, and parents provided written informed consent. For their participation, parents received a small monetary incentive and children received a bookstore gift certificate.
The Ohio study was conducted between July 2008 and December 2009 in two pediatric primary care clinics associated with a large children's hospital in central Ohio. These clinics were located in low-income neighborhoods. Adults accompanying children to the clinic were approached in the waiting room by a trained research assistant and asked to participate if they had an appropriately aged child (whether or not he/she was present). Other inclusion criteria included being able to read the questionnaire in English. In total, 194 participants completed the questionnaire. The survey was anonymous and participants received a grocery store gift card as an incentive. The study was deemed exempt by the Nationwide Children's Hospital Institutional Review Board and parents provided informed consent verbally; the Institutional Review Board granted a waiver for verbal rather than written consent.
Analyses
Analyses were conducted using SAS (version 9.2, 2009, SAS Institute Inc, Cary, NC). Demographic characteristics of participants from the two studies were tabulated. For each study, the distribution of scores in each domain was assessed and the median, interquartile range, minimum and maximum scale scores reported. Cronbach's coefficient alpha, a measure of the variance attributable to the scale relative to the overall variance (35), was calculated to determine the internal consistency of items within each domain and the standardized alpha reported. To assess test-retest reliability, parents in CHAMPS were invited to return to the research center to repeat the questionnaire approximately two weeks after initial administration. Forty-four parents self-selected to participate; their responses to the questionnaire at the first administration were compared with their responses on the repeat administration using Spearman correlations. It was not possible to assess test-retest reliability in the Ohio study because the questionnaire was anonymous. To assess construct validity, Spearman correlations between the domain scores within each study were assessed. Spearman correlations rather than Pearson correlations were used because the domain scores were ordinal and not normally distributed. To provide evidence of discriminant validity, the Kolmogorov-Smirnov test (a non-parametric t-test) was used to compare the distribution of scores on each domain for typically developing children to those of children with autism spectrum disorders in CHAMPS.
Results & Discussion
Meals in our Household was evaluated in two studies with a total of 305 participants. The questionnaire is written at a fifth grade level (Flesch-Kincaid reading grade level = 4.9) (36). Table 2 presents sociodemographic characteristics of participants in CHAMPS and the Ohio study. By design, participants in these two evaluation samples differed relative to socioeconomic status, race/ethnicity, geographic location, and child developmental disability status. A majority of parents in CHAMPS were well-educated, married, and white. Participants in the Ohio study had less formal education, fewer were married, and more were of non-white race/ethnicity. In both samples, Meals in our Household was well-accepted and most participants completed the questionnaire within ten minutes.
Table 2. Sociodemographic characteristics of participants in two evaluation studies of the Meals in our Household questionnaire and distribution of Meals in our Household domain scores in these studies.
CHAMPSa (n=111) | Ohio Studyb (n=194) | |||||||
---|---|---|---|---|---|---|---|---|
Child's age at last birthday | n | Percent | n | percent | ||||
3 – 5 years | 50 | 45 | 94 | 48 | ||||
6 – 8 years | 38 | 34 | 63 | 32 | ||||
9 – 11 years | 23 | 21 | 37c | 19 | ||||
Child's gender | ||||||||
Male | 89 | 80 | 91 | 47 | ||||
Female | 22 | 20 | 102d | 53 | ||||
Child diagnosed with an autism spectrum disorder | ||||||||
Yes | 53 | 48 | NAe | |||||
No | 59 | 52 | NA | |||||
Child's racial/ethnic group | ||||||||
Non-Hispanic white | 88 | 79 | 44 | 23 | ||||
Non-Hispanic black | 5 | 5 | 121 | 62 | ||||
Hispanic | 6 | 5 | 9 | 5 | ||||
Other | 12 | 11 | 20 | 10 | ||||
Mother's highest level of education | ||||||||
<High school | 0 | 0 | 13 | 7 | ||||
High school degree | 5 | 5 | 81 | 42 | ||||
Some college | 25 | 23 | 82 | 42 | ||||
College graduate | 81 | 73 | 12 | 6 | ||||
Don't know/missing | 0 | 0 | 6 | 3 | ||||
Father's highest level of education | ||||||||
<High school | 2 | 2 | 12 | 6 | ||||
High school degree | 16 | 14 | 86 | 44 | ||||
Some college | 25 | 23 | 56 | 29 | ||||
College graduate | 67 | 60 | 14 | 7 | ||||
Don't know/missing | 1 | 1 | 26 | 13 | ||||
Marital status | ||||||||
Married/living with partner | 98 | 88 | 77 | 40 | ||||
Never Married | 7 | 6 | 79 | 41 | ||||
Divorced/separated/widowed | 6 | 5 | 36d | 19 | ||||
Geographic location | Massachusetts | Central Ohio | ||||||
Time period of data collection | Jan 2007 – Dec 2008 | July 2008 – Dec 2009 | ||||||
Meals in our Household domain scores | Median | IQR | Min | Max | Median | IQR | Min | Max |
Structure of Family Meals | 28.0 | 6.0 | 17 | 39 | 31.0 | 7.0 | 16 | 40 |
Problematic Child Mealtime Behavior | 23.5 | 21.0 | 1 | 62 | 12.0 | 14.0 | 0 | 46 |
Parental Concern about Child Diet | 16.0 | 25.0 | 0 | 55 | 5.0 | 14.0 | 0 | 76 |
Use of Food as a Reward | 7.0 | 6.0 | 0 | 20 | 5.0 | 7.0 | 0 | 16 |
Spousal Stress | 8.0 | 6.5 | 4 | 20 | 4.0 | 4.0 | 4 | 15 |
Influence of Child's Food Preferences | 6.0 | 6.0 | 2 | 12 | 5.0 | 3.0 | 2 | 12 |
Childrens's Eating and Meal Patterns Study (CHAMPS).
Conducted in pediatric clinic waiting rooms in Central Ohio.
Percentages may not total due to rounding.
In the Ohio study, data were missing for child gender (n=1) and marital status (n=2).
Autism spectrum disorders were not assessed in the Ohio study, but it can be assumed that few, if any, children would meet diagnostic criteria for these disorders.
Variability in domain scores within each sample was evident (Table 2, bottom). The range and interquartile range of scores were wide. The higher median domain scores and larger interquartile range observed in CHAMPS as compared to the Ohio study for the domains of “Problematic Child Mealtime Behaviors”, “Parental Concern about Child Diet”, and “Spousal Stress” are consistent with expectations for higher scores in these domains for children with autism spectrum disorders.
Reliability
To assess internal consistency, the correlation of each item with the total score of the domain was assessed. For the “Structure of Family Meals” domain, five items were deleted because they were poorly correlated with the scale (Cronbach's alpha for scale including five poorly fitting items was 0.36 in CHAMPS and 0.59 in the Ohio study). Table 1 presents the final items included in the six domains. With exclusion of the aforementioned items, Cronbach's alpha for the “Structure of Family Meals” domain was 0.66 in CHAMPS (n=110) and 0.73 in the Ohio study (n=179). For the “Problematic Child Mealtime Behaviors” domain, alpha was 0.93 in CHAMPS (n=110) and 0.91 in the Ohio study (n=173). For “Parental Concern about Child Diet”, alpha was 0.90 in CHAMPS (n=111) and 0.93 in the Ohio study (n=186). For “Use of Food as a Reward”, alpha was 0.81 in CHAMPS (n=111) and 0.76 in the Ohio study (n=188). The consistency of these estimates in the two studies provides preliminary evidence that the items comprising the domains were similarly interpreted by participants across socioeconomic contexts.
Participants who reported that they lived with a spouse or partner were eligible to complete the “Spousal Stress Related to Child's Mealtime Behavior” domain. In CHAMPS, 90% of participants responded to these items, as did 61% of participants in the Ohio study. Cronbach's alpha for this domain was 0.87 in CHAMPS (n=100) and 0.73 in the Ohio study (n=118). The lowest internal consistency was for the domain of “Influence of Child's Food Preferences”. Because participants who had only one child, or did not report having a spouse/partner were not eligible, this domain could be calculated for fewer participants (73% of participants in CHAMPS and 48% of participants in the Ohio study). Cronbach's alpha was acceptable in CHAMPS at 0.65 (n=81), but was low in the Ohio study at 0.39 (n=93). The domain of “Influence of Child's Food Preferences” was included in Meals in our Household because unusual and highly selective eating patterns are often observed in children with autism spectrum disorders (33) and understanding the impact of these eating patterns on the family was of interest. However, of the six domains in Meals in our Household, this one performed least well, particularly in the Ohio study. This may be a result of the limited number of items in this domain. The internal consistency was poor in the Ohio study, but adequate in CHAMPS - both for children with an autism spectrum disorder (n=43, alpha = 0.63) and for typically developing children (n=38, alpha = 0.63). Thus it could not be determined why this domain had a low internal consistency in the Ohio study, but particularly in populations in which many family configurations are non-traditional, the “Influence” domain should be interpreted cautiously. It may be useful to broaden this domain in future work to include the child's influence on other aspects of the family eating environment.
After an interval of between 10 and 30 days (median: 19.5 days), 44 parents from CHAMPS (n=31 with a typically developing child, n=13 with a child with an autism spectrum disorder) repeated Meals in our Household. Domain scores from the first and second administrations were highly correlated. Overall, Spearman correlations ranged from r=0.80 to r=0.95 and averaged r=0.88. Test-retest reliabilities were similar for parents of typically developing children (Spearman correlations ranged from 0.72 to 0.94 with a mean of 0.84) and parents of children with autism spectrum disorders (range: 0.82 to 0.98; mean:0.91). Thus, test-retest reliabilities of the six domains were excellent irrespective of whether or not the child had an autism spectrum disorder.
Validity
Construct validity is supported by the observed correlations among the domains in each study (Table 3). High scores on the “Structure of Family Meals” domain were negatively correlated with problematic child mealtime behaviors, and parental concern about child diet. This was true in both studies and is consistent with evidence linking the frequency and quality of family meals to many positive child and family outcomes (3, 5, 8, 37-38). Whether having family meals has a causal influence on these domains cannot be determined from these data, but could be addressed in future studies using the questionnaire. The “Structure of Family Meals” domain measures the extent to which children are exposed to what might be considered traditional family-style meals (i.e., meals prepared at home, eaten with family, at a table, without television). Most epidemiologic studies of family meals have focused upon family meal frequency, but some have assessed mealtime environments more comprehensively using multiple questions (26, 37). Observational coding systems have also been developed (39-43), but these methods are often impractical for larger studies because they are time consuming and require training to administer and code accurately.
Table 3. Evidence of construct validity: Spearman correlations among Meals in our Household domain scores in two studies.
CHAMPSa | |||||||
---|---|---|---|---|---|---|---|
Domain | Family Meals | Problem Behaviors | Parental Concern | Food as Reward | Spousal Stress | Child's influence | |
Ohio Studyb | Family Meals c | −0.38 *** | −0.52 *** | −0.19 | −0.33 *** | −0.23 | |
Problem Behaviors d | −0.51 *** | 0.67 *** | 0.52 *** | 0.66 *** | 0 48 *** | ||
Parental Concern e | −0.29 *** | 0.43 *** | 0.46 *** | 0.57 *** | 0.49 *** | ||
Food as Reward f | −0.21 ** | 0.33 *** | 0.33 *** | 0.46 *** | 0.35 ** | ||
Spousal Stress g | −0.35 *** | 0.51 *** | 0.35 *** | 0.31 *** | 0.38 *** | ||
Child's influence h | −0.12 | 0.31 ** | 0.36 *** | 0.24 * | 0.47 *** |
P value for Spearman correlations:
<0.05,
<0.01,
<0.001.
Children's Eating and Meal Patterns Study (n=111), assessed in Massachusetts January 2007- December 2008.
Central Ohio Pediatric Clinic Waiting Rooms (n=194), assessed July 2008-December 2009.
Structure of Family Meals
Problematic Child Mealtime Behaviors
Parental Concern About Child's Diet
Use of Food as a Reward
Spousal Stress Related to Child's Mealtime Behaviors
Influence of Child's Food Preferences on what other Family Members Eat
High levels of “Problematic Child Mealtime Behaviors” were positively correlated with the domains of “Parental Concern”, “Food as a Reward”, “Spousal Stress”, and “Influence” (Table 3). Further evidence for construct validity is that the magnitudes of the correlations between domains within the two studies were similar and the direction of the association was always consistent. High parental concern about children's diet was similarly related in both studies to the domains of “Use of Food as Reward” and “Spousal Stress”. Future research could determine the extent to which parental concern about children's diets influences their use of food as a reward.
Meals in our Household domain scores for children with autism spectrum disorders differed from typically developing children in CHAMPS, and provide evidence of discriminant validity. Children with autism spectrum disorders had significantly higher median scores in the domains of “Problematic Child Mealtime Behavior” (32 versus 16), “Parental Concern about Child Diet” (29 versus 6), “Use of Food as a Reward” (9 versus 5), and “Spousal Stress” (11 versus 6). The influence of the child's preferences on what other family members ate was higher among children with autism spectrum disorders (7 versus 4.5), but the difference did not reach statistical significance. The median score for the “Structure of Family Meals” domain was statistically significantly higher for typically developing children (30 versus 27) but the magnitude of the difference was small. As expected, typically developing children scored substantially lower on the domain of “Problematic Child Mealtime Behaviors” than did children with autism spectrum disorders, but it is important to note that children's scores in this domain showed considerable variability in the Ohio study as well as among typically developing children in CHAMPS.
Meals in our Household was designed for researchers interested in understanding mealtimes in families with preschool and school-age children living in the United States irrespective of children's developmental disability status. However, it is important to recognize the limitations of the questionnaire. It was not designed to assess feeding or eating problems and does not assess eating disorders. Nor is it appropriate for infants and toddlers. Evaluation of the questionnaire was conducted in two independent study populations but neither was representative of a defined target population. If responses to Meals in our Household systematically differed for parents who volunteered to participate in these studies, then generalizability could be limited. In addition, the domains assessed may not be relevant outside the United States, nor in some cultural contexts. A further limitation of the questionnaire is that it is subject to social desirability bias and it is not known whether participants differed in their interpretation or understanding of the questions.
The Meals in our Household questionnaire assesses both objective and subjective aspects of family mealtimes. The domains assessed in Meals in our Household, while related to the experience and behavior of the child, are more accurately a reflection of the perceptions and expectations of the parent. This is one aspect, in addition to age range, that differentiates Meals in our Household from the Mealtime Behavior Questionnaire (19).
Conclusions
The Meals in our Household questionnaire provides researchers interested in family meals with a tool to assess children's mealtime environments and behavior, and parents' perception of how children's mealtime behavior and diet influence the family. This parent-report instrument has been preliminarily evaluated in two distinct study populations that vary relative to socioeconomic status, race/ethnicity, geographic location, and child developmental disability status. Further use and evaluation of the questionnaire is needed, but these promising findings of reliability and initial validity suggest that researchers interested in understanding children's mealtime behaviors and environments in the context of family may find Meals in our Household useful.
For nutrition professionals who counsel families, the questionnaire could help to facilitate discussion with parents about their children's mealtime behavior, their concerns about their child's diet, and their use of food to reward children or manage problematic behavior. Registered dietitians and others who interact with families may find that the domains assessed in Meals in our Household are of interest to their clients. Although the questionnaire has not been evaluated in a clinical context, nutrition professionals may wish to incorporate items or concepts from it into their own assessment strategies.
Footnotes
Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
Contributor Information
Aviva Must, Email: Aviva.must@tufts.edu.
Carol Curtin, Email: carol.curtin@umassmed.edu.
Linda G. Bandini, Email: linda.bandini@umassmed.edu.
References
- 1.Rockett HR. Family dinner: more than just a meal. J Am Diet Assoc. 2007;107:1498–1501. doi: 10.1016/j.jada.2007.07.004. [DOI] [PubMed] [Google Scholar]
- 2.Berge JM. A review of familial correlates of child and adolescent obesity: what has the 21st century taught us so far? Int J Adolesc Med Health. 2009;21:457–483. doi: 10.1515/ijamh.2009.21.4.457. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Fiese BH, Foley KP, Spagnola M. Routine and ritual elements in family mealtimes: contexts for child well-being and family identity. New Dir Child Adolesc Dev. 2006:67–89. doi: 10.1002/cd.156. [DOI] [PubMed] [Google Scholar]
- 4.Gillman MW, Rifas-Shiman SL, Frazier AL, Rockett HR, Camargo CA, Field AE, Berkey CS, Colditz GA. Family dinner and diet quality among older children and adolescents. Arch Fam Med. 2000;9:235–240. doi: 10.1001/archfami.9.3.235. [DOI] [PubMed] [Google Scholar]
- 5.Larson NI, Neumark-Sztainer D, Hannan PJ, Story M. Family meals during adolescence are associated with higher diet quality and healthful meal patterns during young adulthood. J Am Diet Assoc. 2007;107:1502–1510. doi: 10.1016/j.jada.2007.06.012. [DOI] [PubMed] [Google Scholar]
- 6.Neumark-Sztainer D, Larson NI, Fulkerson JA, Eisenberg ME, Story M. Family meals and adolescents: what have we learned from Project EAT (Eating Among Teens)? Public Health Nutr. 2010;13:1113–1121. doi: 10.1017/S1368980010000169. [DOI] [PubMed] [Google Scholar]
- 7.Fulkerson JA, Neumark-Sztainer D, Hannan PJ, Story M. Family meal frequency and weight status among adolescents: cross- sectional and 5-year longitudinal associations. Obesity. 2008;16:2529–2534. doi: 10.1038/oby.2008.388. [DOI] [PubMed] [Google Scholar]
- 8.Eisenberg ME, Olson RE, Neumark-Sztainer D, Story M, Bearinger LH. Correlations between family meals and psychosocial well-being among adolescents. Arch Pediat Adol Med. 2004;158:792–796. doi: 10.1001/archpedi.158.8.792. [DOI] [PubMed] [Google Scholar]
- 9.Neumark-Sztainer D, Wall M, Story M, Fulkerson JA. Are family meal patterns associated with disordered eating behaviors among adolescents? J Adolesc Health. 2004;35:350–359. doi: 10.1016/j.jadohealth.2004.01.004. [DOI] [PubMed] [Google Scholar]
- 10.Neumark-Sztainer D, Eisenberg ME, Fulkerson JA, Story M, Larson NI. Family meals and disordered eating in adolescents: longitudinal findings from project EAT. Arch Pediatr Adolesc Med. 2008;162:17–22. doi: 10.1001/archpediatrics.2007.9. [DOI] [PubMed] [Google Scholar]
- 11.Franko DL, Thompson D, Affenito SG, Barton BA, Striegel-Moore RH. What mediates the relationship between family meals and adolescent health issues? Health Psychology. 2008;27:S109–S117. doi: 10.1037/0278-6133.27.2(Suppl.).S109. [DOI] [PubMed] [Google Scholar]
- 12.Baughcum AE, Powers SW, Johnson SB, Chamberlin LA, Deeks CM, Jain A, Whitaker RC. Maternal feeding practices and beliefs and their relationships to overweight in early childhood. J Dev Behav Pediatr. 2001;22:391–408. doi: 10.1097/00004703-200112000-00007. [DOI] [PubMed] [Google Scholar]
- 13.Wardle J, Guthrie CA, Sanderson S, Rapoport L. Development of the children's eating behaviour questionnaire. J Child Psychol Psyc. 2001;42:963–970. doi: 10.1111/1469-7610.00792. [DOI] [PubMed] [Google Scholar]
- 14.Birch LL, Fisher JO, Grimm-Thomas K, Markey CN, Sawyer R, Johnson SL. Confirmatory factor analysis of the Child Feeding Questionnaire: a measure of parental attitudes, beliefs and practices about child feeding and obesity proneness. Appetite. 2001;36:201–210. doi: 10.1006/appe.2001.0398. [DOI] [PubMed] [Google Scholar]
- 15.Hughes SO, Power TG, Fisher JO, Mueller S, Nicklas TA. Revisiting a neglected construct: parenting styles in a child-feeding context. Appetite. 2005;44:83–92. doi: 10.1016/j.appet.2004.08.007. [DOI] [PubMed] [Google Scholar]
- 16.Hendy HM, Williams KE, Camise TS, Eckman N, Hedemann A. The Parent Mealtime Action Scale (PMAS). Development and association with children's diet and weight. Appetite. 2009;52:328–339. doi: 10.1016/j.appet.2008.11.003. [DOI] [PubMed] [Google Scholar]
- 17.Musher-Eizenman D, Holub S. Comprehensive Feeding Practices Questionnaire: validation of a new measure of parental feeding practices. J Pediatr Psychol. 2007;32:960–972. doi: 10.1093/jpepsy/jsm037. [DOI] [PubMed] [Google Scholar]
- 18.Larios SE, Ayala GX, Arredondo EM, Baquero B, Elder JP. Development and validation of a scale to measure Latino parenting strategies related to children's obesigenic behaviors. The parenting strategies for eating and activity scale (PEAS) Appetite. 2009;52:166–172. doi: 10.1016/j.appet.2008.09.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Berlin KS, Davies WH, Silverman AH, Woods DW, Fischer EA, Rudolph CD. Assessing children's mealtime problems with the Mealtime Behavior Questionnaire. Child Health Care. 2010;39:142–156. [Google Scholar]
- 20.Davies WH, Ackerman LK, Davies CM, Vannatta K, Noll RB. About Your Child's Eating: factor structure and psychometric properties of a feeding relationship measure. Eat Behav. 2007;8:457–463. doi: 10.1016/j.eatbeh.2007.01.001. [DOI] [PubMed] [Google Scholar]
- 21.Archer LA, Rosenbaum PL, Streiner DL. The Children's Eating Behavior Inventory: reliability and validity results. J Pediatr Psychol. 1991;16:629–642. doi: 10.1093/jpepsy/16.5.629. [DOI] [PubMed] [Google Scholar]
- 22.Crist W, Napier-Phillips A. Mealtime behaviors of young children: a comparison of normative and clinical data. J Dev Behav Pediatr. 2001;22:279–286. doi: 10.1097/00004703-200110000-00001. [DOI] [PubMed] [Google Scholar]
- 23.Berlin KS, Davies WH, Silverman AH, Rudolph CD. Assessing family-based feeding strategies, strengths, and mealtime structure with the feeding strategies questionnaire. J Pediatr Psychol. 2011 Jan 5; doi: 10.1093/jpepsy/jsp107. Epub ahead of print. [DOI] [PubMed] [Google Scholar]
- 24.McCurdy K, Gorman KS. Measuring family food environments in diverse families with young children. Appetite. 2010;54:615–618. doi: 10.1016/j.appet.2010.03.004. [DOI] [PubMed] [Google Scholar]
- 25.Golan M, Weizman A. Reliability and validity of the family eating and activity habits questionnaire. Eur J Clin Nutr. 1998;52:771–777. doi: 10.1038/sj.ejcn.1600647. [DOI] [PubMed] [Google Scholar]
- 26.Spurrier NJ, Magarey AA, Golley R, Curnow F, Sawyer MG. Relationships between the home environment and physical activity and dietary patterns of preschool children: a cross-sectional study. Int J Behav Nutr Phys Act. 2008;5:31. doi: 10.1186/1479-5868-5-31. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Campbell KJ, Crawford DA, Ball K. Family food environment and dietary behaviors likely to promote fatness in 5-6 year-old children. Int J Obes. 2006;30:1272–1280. doi: 10.1038/sj.ijo.0803266. [DOI] [PubMed] [Google Scholar]
- 28.Kerwin ME, Eicher PS, Gelsinger J. Parental report of eating problems and gastrointestinal symptoms in children with pervasive developmental disorders. Child Health Care. 2005;34:217–234. [Google Scholar]
- 29.Lemanek KL, Brown RT, Amstrong FD, Hood C, Pegelow C, Woods G. Dysfunctional eating patterns and symptoms of pica in children and adolescents with sickle cell disease. Clin Pediatr. 2002;41:493–500. doi: 10.1177/000992280204100706. [DOI] [PubMed] [Google Scholar]
- 30.Schreck KA, Williams K. Food preferences and factors influencing food selectivity for children with autism spectrum disorders. Res Dev Disabil. 2006;27:353–363. doi: 10.1016/j.ridd.2005.03.005. [DOI] [PubMed] [Google Scholar]
- 31.Lukens CT, Linscheid TR. Development and validation of an inventory to assess mealtime behavior problems in children with autism. J Autism Dev Disord. 2008;38:342–352. doi: 10.1007/s10803-007-0401-5. [DOI] [PubMed] [Google Scholar]
- 32.Wardle J, Sanderson S, Guthrie CA, Rapoport L, Plomin R. Parental feeding style and the inter-generational transmission of obesity risk. Obes Res. 2002;10:453–462. doi: 10.1038/oby.2002.63. [DOI] [PubMed] [Google Scholar]
- 33.Bandini LG, Anderson SE, Curtin C, Cermack S, Evan EW, Scampini R, Maslin M, Must A. Food selectivity in children with autism spectrum disorders and typically developing children. J Pediatr. 2010;157:259–264. doi: 10.1016/j.jpeds.2010.02.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Autism and Developmental Disabilities Monitoring Network. Prevalence of autism spectrum disorders - Autism and Developmental Disabilities Monitoring Network, United States, 2006. MMWR Surveill Summ. 2009;58:1–20. [PubMed] [Google Scholar]
- 35.Cronbach LJ. Coefficient alpha and the internal structure of tests. Psychometrika. 1951;16:297–334. [Google Scholar]
- 36.Flesch R. A new readability yardstick. J Appl Psychol. 1948;32:221–233. doi: 10.1037/h0057532. [DOI] [PubMed] [Google Scholar]
- 37.Fulkerson JA, Story M, Neumark-Sztainer D, Rydell S. Family meals: perceptions of benefits and challenges among parents of 8- to 10-year-old children. J Am Diet Assoc. 2008;108:706–709. doi: 10.1016/j.jada.2008.01.005. [DOI] [PubMed] [Google Scholar]
- 38.Snow CE, Beals DE. Mealtime talk that supports literacy development. New Dir Child Adolesc Dev. 2006;111:51–66. doi: 10.1002/cd.155. [DOI] [PubMed] [Google Scholar]
- 39.Moens E, Braet C, Soetens B. Observation of family functioning at mealtime: a comparison between families of children with and without overweight. J Pediatr Psychol. 2007;32:52–63. doi: 10.1093/jpepsy/jsl011. [DOI] [PubMed] [Google Scholar]
- 40.Klesges RC, Coates TJ, Brown G, Sturgeon-Tillisch J, Moldenhauer-Klesges LM, Holzer B, Woolfrey J, Vollmer J. Parental influences on childrens eating behavior and relative weight. J Appl Behav Anal. 1983;16:371–378. doi: 10.1901/jaba.1983.16-371. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Mitchell M, Piazza-Waggoner C, Modi A, Janicke D. Examining short-term stability of the Mealtime Interaction Coding System (MICS) J Pediatr Psychol. 2009;34:63–68. doi: 10.1093/jpepsy/jsn043. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Spieth LE, Stark LJ, Mitchell MJ, Schiller M, Cohen LL, Mulvihill M, Hovell MF. Observational assessment of family functioning at mealtime in preschool children with cystic fibrosis. J Pediatr Psychol. 2001;26:215–224. doi: 10.1093/jpepsy/26.4.215. [DOI] [PubMed] [Google Scholar]
- 43.Kiser LJ, Medoff D, Black MM, Nurse W, Fiese BH. Family Mealtime Q-Sort: a measure of mealtime practices. J Fam Psychol. 2010;24:92–96. doi: 10.1037/a0017946. [DOI] [PMC free article] [PubMed] [Google Scholar]