Associations between Parental Concerns about Preschoolers’ Weight and Eating and Parental Feeding Practices: Results from Analyses of the Child Eating Behavior Questionnaire, the Child Feeding Questionnaire, and the Lifestyle Behavior Checklist
about Preschoolers' Weight and Eating and
Anna Ek 0 1 2
Kimmo Sorjonen 0 1 2
Karin Eli 0 1 2
Louise Lindberg 0 1 2
Jonna Nyman 0 1 2
Claude Marcus 0 1 2
Paulina Nowicka 0 1 2
0 1 Division of Pediatrics, Department of Clinical Science , Intervention and Technology , Karolinska Institutet, Stockholm, Sweden, 2 Division of Psychology, Department of Clinical Neuroscience, Karolinska Institutet, Solna, Sweden, 3 Unit for Biocultural Variation and Obesity, Institute of Social and Cultural Anthropology, University of Oxford , Oxford , United Kingdom , 4 Department of Food , Nutrition and Dietetics , Uppsala University , Uppsala , Sweden
1 Funding: Research related to this study was supported by funds to PN by Vinnova Marie Curie International Qualification funds (2011-03443), Swedish Research Council, Karolinska Institutet, Jerring Foundation, Samariten Foundation, Magnus Bergvall Foundation, Fredrik and Ingrid Thurings Foundation, Swedish Society of Medicine , Helge Ax: son Johnsson Foundation, ìShizu Matsumuraîs
2 Editor: Yang-Ching Chen , TaipeiCityHospital, TAIWAN
Insight into parents' perceptions of their children's eating behaviors is crucial for the development of successful childhood obesity programs. However, links between children's eating behaviors and parental feeding practices and concerns have yet to be established. This study aims to examine associations between parental perceptions of preschoolers' eating behaviors and parental feeding practices. First, it tests the original 8-factor structure of the Child Eating Behavior Questionnaire (CEBQ). Second, it examines the associations with parental feeding practices, measured with the Child Feeding Questionnaire (CFQ).
Data Availability Statement; All relevant data are within the paper
Materials and Methods
Questionnaires were sent to parents from 25 schools/preschools in Stockholm, Sweden
and to parents starting a childhood obesity intervention. The CEBQ factor structure was
tested with confirmatory factor analysis (CFA). Associations between CEBQ subscales
Food approach and Food avoidance and CFQ factors Restriction, Pressure to eat and Mon
itoring were examined with structural equation modelling (SEM), adjusting for child and
parental characteristics, and parental confidence, measured with the Lifestyle Behavior
Checklist (LBC). CFQ Concern for child weight and Perceived responsibility for child eating were used as mediators.
Donation, Foundation Frimurare Barnhuset in
Stockholm, Foundation Barnavård and Crown
Princess Lovisa Foundation for Pediatric Care. AE
was supported by Jerring Foundation and Crown
Princess Lovisa Foundation for Pediatric Care. The
funders had no role in study design, data collection
and analysis, decision to publish, or preparation of
Competing Interests: The authors have declared
that no competing interests exist.
478 parents completed the questionnaires (children: 52% girls, mean age 5.5 years, 20%
overweight/obese). A modified 8-factor structure showed an acceptable fit (TLI = 0.91,
CFI = 0.92, RMSEA = 0.05 and SRMR = 0.06) after dropping one item and allowing three
pairs of error terms to correlate. The SEM model demonstrated that Food approach had a
weak direct effect on Restriction, but a moderate (β = 0.30) indirect effect via Concern,
resulting in a substantial total effect (β = 0.37). Food avoidance had a strong positive effect
on Pressure to eat (β = 0.71).
The CEBQ is a valid instrument for assessing parental perceptions of preschoolers’ eating
behaviors. Parental pressure to eat was strongly associated with children’s food avoidance.
Parental restriction, however, was more strongly associated with parents’ concerns about
their children’s weights than with children’s food approach. This suggests that childhood
obesity interventions should address parents’ perceptions of healthy weight alongside
perceptions of healthy eating.
Parents’ responses to children’s appetitive traits may have profound consequences for the
development of children’s food preferences, eating habits, and body weights [
between child eating behavior and parental feeding practices, therefore, have been the focus of
several research studies [
]; however, the clinical implications of these links remain
unclear. This study aims to examine associations between parental perceptions of preschoolers’
eating behaviors and parental feeding practices. Identifying these associations is important for
the development of a clearer framework to guide childhood obesity interventions—a
framework that accounts for the co-constitutive dynamics of eating and feeding in the family
It is particularly important to study parental feeding practices and children’s eating behaviors
during the preschool age: children are still highly dependent on their parents for the structuring
of food intake, but are also developing more autonomy through preschool and social interactions
with other children, under the supervision of other adults and outside their parents' direct
control. The communication between children and their parents becomes more developed than in
earlier ages [
]. With infants and toddlers, parents can make all feeding decisions and
respond to the child with a simple yes or no; responding to a preschooler’s food demands,
however, is more complex. The preschool age is therefore a crucial time in which parents develop
communication about food with their children [
]; indeed, previous studies have shown that
obesity interventions may be most effective in the preschool age range [
The preschool age is a time when distinct eating behaviors are formed [
]. Twin and family
studies have suggested that there are genetic predispositions for some obesity related appetitive
traits such as food preferences [
], speed of eating [
], eating in the absent of hunger (for
], satiety responsiveness and food responsiveness . However, children’s eating
behaviors are also significantly influenced by social and environmental factors such as role
], availability of food in the home [
] and parenting practices [
Thus, understanding how and why parents respond to children’s different eating behaviors is
key to framing childhood obesity interventions.
2 / 20
The tool used most commonly to describe children’s eating behaviors is the Child Eating
Behavior Questionnaire (CEBQ) [
]. The CEBQ includes a list of statements that
characterize children’s appetites, clustering responses into eight factors divided into two main
dimensions: Food approach (factors: Food responsiveness, Emotional overeating, Enjoyment of food
and Desire to drink) and Food avoidance (factors: Satiety responsiveness, Slowness in eating,
Emotional undereating and Food fussiness) [
]. High scores on Food approach have been
associated with higher weight status while high scores on Food avoidance have been associated
with a lower weight status among preschoolers [
], school aged children [
Among obesity related parenting practices, three feeding behaviors have been studied most
often: restriction (the extent to which parents control the child’s consumption of sugary and
high-fat food), pressure to eat (the extent to which parents encourage the child to eat) and
monitoring (the extent to which parents direct the child toward healthy eating) [
]. A number
of studies, predominantly of a cross sectional design, have found positive associations between
parental restriction, food approach, and child weight status [
9, 35, 38, 39
]. Likewise, pressure to
eat has been positively associated to Food avoidance as well as with lower child weight status
]. Longitudinal studies have confirmed these relationships, suggesting that parents seem
to adapt their feeding practices to child behavior and child weight [
25, 40, 41
]. In addition,
several studies have examined parental cognitions, such as concern for child weight, as mediators
for feeding practices (e.g., restrictive or pressuring feeding practices increase only when parents
become concerned about their children’s weights) [
]. This is particularly notable
because parental recognition of and concern about child overweight is required for successful
recruitment to obesity treatment studies . In preschool age, however, parents and other
adult family members find it difficult to identify child weight status correctly [
]. Still, the
relationship between parental concern about children’s weight and parents’ ability to make the
best feeding decisions for their children is not straightforward. High levels of parental
restrictive feeding practices can be counterproductive. In longitudinal studies, children developed an
increased preference for the foods their parents restricted [
27, 48, 49
]; the opposite occurred
when parents pressured children to eat foods they resisted . In effective intervention
studies, both parental concern and restrictive parenting practices diminished over time [
sum up the above findings, there seem to be a paradox: some level of parental concern is
needed for parents to reflect on and change their feeding behaviors; however, too much
concern may lead to counterproductive feeding practices.
Parental concern, then, is a complex factor that needs to be further investigated. Differences
in the extent and expression of parental concern may reflect cultural background, child and
parental gender, age and socio-economic status; the same factors may influence the use of
restrictive, monitoring, or pressuring feeding practices [
]. In a Swedish population based
study, parents of preschoolers reported lower levels of restrictive feeding practices than parents
in Australia, USA and Japan [
]. Other studies have examined the higher levels of parental
concern about child weight and the use of more restrictive feeding practices among parents of
]. Parental self-efficacy (also referred to as confidence) is another factor to consider
as a predictor of parenting practices  in relation to a child’s healthy lifestyle [
Australia, parents’ confidence in their handling of children’s problematic weight related behaviors,
measured with the Confidence scale of the Lifestyle Behavior Checklist (LBC) [
increased after a parent-centered obesity intervention . In the validation of the Swedish
LBC, we found significant associations between parental confidence and parental concern,
restriction and pressure to eat [
]. In the present study we therefore include parental
confidence in our model as a predictor of parenting practices. Likewise, understanding the
underlying factors (other than weight status) for child eating behaviors is of great importance, in
3 / 20
clinical practice as well as in research; however, data are still inconclusive about differences
regarding gender [
32, 36, 68, 69
], age [
16, 31, 32, 36, 69
] and cultural background [
The overall aim of this study was to present a comprehensive model of associations between
parental perceptions of child eating behaviors among preschoolers and parental feeding
practices, adjusting for potentially important predictors. The first aim was to establish the
psychometric properties of a Swedish version of the CEBQ in preschoolers [
], examining the
original 8-factor structure using confirmatory factor analysis (CFA)–an analysis that has not
been done before. The second aim was to test a model of the direct and indirect effects of the
two CEBQ dimensions (Food approach and Food avoidance), as well as child and parental
characteristics on the Child Feeding Questionnaire (CFQ) factors Restriction, Pressure to eat
and Monitoring. We focus on parents of children between the ages of 3 and 8 years. As Swedish
children attend preschool until the age of 7 years, we refer to the children as preschoolers
throughout the paper.
Based on previous research [
], we created a model hypothesizing that parental feeding
practices are affected by parents’ perceptions of child eating behaviors and that parents’
concerns about child weight would mediate this relationship [
]. We controlled for child and
parental characteristics as the previous research findings have been inconclusive. However, we
hypothesize that two of these will be most important: 1) child weight status, because of its
association with eating behaviors [
33, 35, 73
] and feeding practices [
], and 2) parental
education, a common proxy for socioeconomic status, due to its associations with obesity .
Materials and Methods
The recruitment process has been described comprehensively elsewhere [
]. In summary, to
obtain a representative sample of preschoolers with a variation in weight status, the researchers
contacted preschools and schools in different areas of Stockholm County. The selected
preschools and schools represented areas with low, medium or high prevalence of obesity, as
recorded in data from the most recent primary care report [
]. Forty-five institutions were
contacted (30 preschools and 15 schools); 25 agreed to participate (20 preschools and 5
schools). A total of 931 parents received the CEBQ, CFQ, LBC and a background
questionnaire: 595 parents with children attending preschool and 336 parents with children in the
preparation year of school. Participants sent the questionnaires back to the research group in an
enclosed envelope. All data were collected anonymously. We also added baseline data from a
clinical population of parents (n = 47) of preschoolers with obesity, who were referred by
primary child care centers in Stockholm County to a randomized controlled childhood obesity
trial (NCT01792531). Written informed consent was obtained from all participants. The
caretakers provided written informed consent on behalf of the children enrolled in the study. The
ethics committee approved the consent procedure. Both the validation study and the clinical
study were approved by the Regional Ethics Board in Stockholm (dnr: 2011/1329-31/4, 2012/
1104-32, 2012/2005-32, 2013/486-32, 2013/1628-31/2).
The CEBQ. The CEBQ includes 35 items on eating styles related to obesity risk, which
cluster into eight factors [
]. The ‘Food approach’ dimension is represented by four factors:
Food responsiveness, with five items (e.g. “given the choice, my child would eat most of the
time”), Emotional overeating, with four items (e.g. “my child eats more when worried”),
Enjoyment of food, with four items (e.g. “my child enjoys eating”), Desire to drink, with three items
(e.g. “my child is always asking for a drink”). The ‘Food avoidance’ dimension is represented
4 / 20
by: Satiety responsiveness, with five items (e.g. “my child gets full up easily”), Slowness in
eating, with four items (e.g. “my child finishes his/her meal quickly”), Emotional undereating,
with four items (e.g. “my child eats less when upset”), and Food fussiness, with six items (e.g.
“my child refuses new foods at first”). Parents rate each behavior on a five-point Likert scale
(never, rarely, sometimes, often, always; 1–5). The CEBQ was proven to have a good validity
and high internal reliability in the United Kingdom, where it was developed (among parents of
], and, following some adaptations, in Portugal (3-13-year-olds) , the
Netherlands (6-7-year-olds) [
], Canada (4-5-year-olds) [
], Chile (6-12-year-olds) [
China (1–1.5-year-olds) [
], Australia (1–5 year olds) [
], Malaysia (13-year-olds) [
United States (2–5 year-olds) [
] and Sweden (1–6 year-olds) [
]. However, CFA, the gold
standard for validating questionnaires which have already been developed, has been used only
in the U.S. [
] and in the Australian validation studies [
]. The Swedish validation of the
CEBQ version used in the present study has been tested with exploratory factor analysis [
which is more data- than theory-driven. In that validation study, the established 8-factor
structure was not replicated, possibly due to the small sample size. Instead, the study proposed a
7-factor structure, in which the factors Food responsiveness and Emotional overeating were
combined into one factor.
The CFQ. The CFQ evaluates parents' concerns about their children’s body weights, and
their child-feeding practices [
]. The CFQ is comprised of seven factors. Four factors measure
parental perceptions of body weight, both their child’s and their own, and concerns that may
affect parental control of children’s eating: Perceived responsibility, with three items (e.g.
“When your child is at home, how often are you responsible for feeding her?”); Perceived
parent weight, with four items (e.g. during the participant’s “childhood [5 to 10 years old]”);
Perceived child weight, with three items (e.g. “during the first year of life”); and Concern about
child weight, with three items (e.g. “How concerned are you about your child becoming
overweight?”). Three factors measure parents’ feeding practices, including: Restriction, with eight
items (e.g. “I intentionally keep some foods out of my child’s reach”); Pressure to eat, with four
items (e.g. “My child should always eat all of the food on her plate”); and Monitoring, with
three items (e.g. “How much do you keep track of the high fat foods that your child eats?”)
]. The Swedish version of the CFQ was used in this study. This version was validated in a
recent population-based study, which involved parents of preschoolers [
The LBC. The LBC consists of 25 items, divided into two scales: the Problem scale and the
Confidence scale [
]. The Problem scale assesses parents’ perceptions of children’s
obesity-related problem behaviors. The Confidence scale assesses how confident parents feel about
handling their children’s problematic obesity-related behaviors. The original four factor
structure included; Misbehavior in relation to food, with seven items (e.g. the child yells about
food), Overeating, with seven items (e.g. the child eats too much), Emotional correlates related
to being overweight, with five items (e.g. the child complains about being overweight) and
Physical activity, with five items (e.g. the child complains about being physically active). In the
Swedish version of the LBC, validated in the same population of parents as the present study,
the CFA suggested a five factor structure where the Physical activity factor was divided into an
additional factor, Screen time (e.g. child watches too much TV) . Both scales use Likert
ratings: on the Problem scale, parents rate the extent to which they perceive a child’s behavior as
problematic, from 1 (“not at all”) to 7 (“very much”); on the Confidence scale, parents rate the
extent to which they feel they can handle a problematic behavior, from 1 (“certain I can’t do
it”) to 10 (“certain I can do it”). Parents who have not encountered the problematic behaviors
the instrument lists are asked to estimate how confident they would feel if these situations
occur. The LBC has shown high internal reliability and good consistency with other
instruments measuring child behavior and parenting [
29, 64, 65, 67
]. In the validation of the LBC,
5 / 20
the CFA indicated that the Confidence scale was unidimensional and was not associated with
any child or parental characteristics . Together, these results indicate that confidence
might be an independent factor, i.e. parents either have or do not have the confidence to handle
problematic lifestyle-related child behaviors. In the present study, we therefore use confidence
as a predictor of parental feeding practices.
The descriptive statistics are presented as means and standard deviations (SD), or numbers
and percentages for categorical data. Independent two-tailed t-tests (for continuous variables)
and chi square tests (for categorical variables) were used to report the differences between the
school sample and the clinical sample. All p-values < 0.05 were regarded as statistically
significant. These analyses and the reliability calculations (Cronbach’s alpha) were conducted with
SPSS version 22. MPlus version 7.11 was used to perform CFA and structural equation
modelling (SEM), using full information maximum likelihood (FIML) with robust standard errors
estimation, which allows for missing data. Even when the missing at random (MAR)
assumption is not met, FIML produces less biased estimates than listwise deletion. CFA is
recommended to test factorial validity when previous hypotheses about the dimensions of the
construct are available based on theory and/or previous analysis [
].The original eight-factor
model of the CEBQ [
] was tested with CFA. To examine fit to the data, four commonly
recommended fit indices were used: the comparative fit index (CFI), the Tucker-Lewis Index
(TLI), the root mean square error of approximation (RMSEA) and standardized root mean
square residual (SRMR). Adequate fit was indicated by CFI and TLI values over 0.90 [
good fit was indicate by values over 0.95, a RMSEA of 0.06 or lower and a SRMR of 0.08 or
]. By analyzing associations between latent variables with SEM, rather than
associations between observed variables with ordinary regression, we allow measurement error in
independent, as well as dependent, variables [
]. This tends to increase the power of the
analyses. Moreover, SEM is very useful when analyzing mediated effects.
SEM was performed where five CFQ factors (Restriction, Pressure to eat, Monitoring,
Perceived responsibility and Concern for child weight) were regressed on the CEBQ subscales
Food approach and Food avoidance and the background variables, which include three child
characteristics (gender, age, body mass index standard deviation score (BMI SDS) and five
parental characteristics (gender, age, BMI, foreign origin, and education level), as well as on the
LBC Confidence scale. Concern for child weight and Perceived responsibility were used as
mediators in the model. The CFQ factors Perceived parent weight and Perceived child weight
were not included as predictors as they contributed little unique variance (tolerance < 0.4).
Effect sizes and correlations are assessed according to Cohen (0.1–0.3 weak; 0.3–0.5 medium,
0.5–1 strong) [
Child weight categories were created using age and gender specific international cut offs for
]. Child BMI SDS was derived using Swedish age and gender specific reference values
Throughout this paper, the term 'predictor' is used as a statistical term and not as an indication
of causality, considering that we have cross-sectional data. Regarding the use of the term
‘influence/influential’: we are aware of Reichenbach’s principle [
], and therefore we do not claim
to determine causality. Our use of the words 'predictor', 'influence' and 'effect on' reflects our
definition of some factors as independent and others as dependent in relation to each other in
6 / 20
(n = 478)
Clinical sample (n = 47)
School sample (n = 431)
In total 432 questionnaires were returned to the research group (one questionnaire had
incomplete answers, and was therefore excluded from the analysis). Child and parental characteristics
are presented in Table 1 and have been described comprehensively elsewhere [
summary, in the total sample of parents (n = 478) (mean age 38.9, SD = 5.0), 81% were women,
70% had a university degree, 87% had Nordic background, 31% were overweight/obese (based
on self-reported weight and height). In the clinical sample (n = 47), the parents had lower
education and higher levels of overweight and obesity, and higher percentages were born outside
Sweden. Among the children (mean age 5.5, SD = 1.0, range 3.3 to 7.95 years), 52% were girls,
20% with overweight/obesity.
Factorial validity and internal reliability of the CEBQ
The fit of the original 8-factor structure as well as the 7-factor structure proposed in a previous
Swedish validation [
] was poor. Instead, CFA demonstrated an acceptable fit (TLI = 0.91,
CFI = 0.92, RMSEA = 0.05 and SRMR = 0.06) for a modified 8-factor structure after dropping
item 30 on the Satiety responsiveness factor (“my child cannot eat a meal if s/he has had a
snack just before”) as it had a loading of < 0.40. After consulting modification indices, three
pairs of error terms were allowed to correlate as this resulted in a substantial improvement in
model fit. However, only correlations within factors were allowed. These were item 13 (“eats
more when annoyed”) and 15 (“eats more when anxious”) on Emotional overeating, 17
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Fig 1. A Confirmatory Factor Analysis of the Child Eating Behavior Questionnaire (CEBQ). The CEBQ
eight factors: Food Responsiveness (FR), Emotional Overeating (EOE), Enjoyment of Food (EF), Desire to
Drink (DD), Satiety Responsiveness (SR), Slowness in Eating (SE), Emotional Undereating (EUE) and Food
Fussiness (FF). Item 30 was dropped as it had a factor loading < 0.4 and three pairs of error terms were
allowed to correlate. The model shows acceptable fit to data, χ2(496) = 1102, p < 0 .001; TLI = 0.91;
CFI = 0.92; RMSEA = 0.05 (90% CI: 0.047–0.055) and SRMR = 0.06). † p < 0.05; * p < 0.001. The estimates
on the left side in the figure stand for correlations between the factors and the estimates on the right side of
the figure stand for factor loadings.
(“leaves food on his/her plate at the end of a meal”) and 21 (“gets full before his/her meal is
finished”) on Satiety responsiveness, and finally 7 (“refuses new foods at first”) and 33 (“decides
that s/he doesn’t like a food, even without tasting it”) on Food fussiness. The correlation
between the factors Enjoyment of food and Satiety responsiveness was extremely strong
(-0.92). Enjoyment of food also correlated strongly with Food fussiness (-0.63). Food
responsiveness correlated strongly with Emotional overeating (0.68) and Satiety responsiveness
(-0.65). The CFA is presented in Fig 1.
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Behaviors are rated on a five-point Likert scale (1 = never, 2 = rarely, 3 = sometimes, 4 = often,
5 = always).
* Not including one item from the original scale “My child cannot eat a meal if she has had a snack just
before” that was excluded after performing confirmatory factor analysis.
The internal consistency was adequate (Cronbach’s alphas above 0.7) for all factors.
Unweighted mean factor scores (± SD) and internal reliability estimates (Cronbach’s alphas)
for CEBQ factors are presented in Table 2 for descriptive purposes.
Child eating behaviors and parental feeding practices and concerns
Fig 2 shows a model with CEBQ Food approach and Food avoidance and their effects on
parental Restriction, Pressure to eat, and Monitoring through Concern and Perceived
responsibility. Several child and parental characteristics were used as predictors; for simplicity, they are
not visualized in the Figure, but provided in Table 3. The results show a strong positive direct
effect of Food avoidance on Pressure to eat (β = 0.71; p < 0.001). Food approach did not have
any strong or significant direct effects on parental feeding behaviors (Restriction β = 0.07;
Pressure to eat β = 0.18; Monitoring β = -0.1); however, it had a moderate (β = 0.30) indirect effect
on Restriction via Concern, which resulted in a substantial total effect (β = 0.37). The
independent predictive effect of Food approach on parental Concern was strong (β = 0.51, p < 0.001)
as well as the direct effect of Concern on parental Restriction (β = 0.58, p < 0.001).
Associations of child and parental characteristics
The correlations between the eleven predictors are presented in Table 3. Excluding the correlation
between Food approach and Food avoidance, Food approach had its strongest correlation with
child’s weight status (BMI SDS) (r = 0.58, p < 0.001). Parental Nordic origin, education level,
BMI and Confidence were all only weakly (r < 0.3) associated with Food approach, although the
correlations were significant. Other than a significant correlation with Food approach, Food
avoidance was significantly correlated only with child’s weight status (BMI SDS) (r = -0.40,
p < 0.001). Child BMI SDS also had a moderate independent predictive effect on parental
Concern (β = 0.33, p < 0.001). Beside the child’s BMI SDS, parental sociodemographic factors had
significant influence on Concern and Perceived responsibility; the effects, however, were also weak
Summary of the main findings
The study demonstrates that the Swedish version of the CEBQ is a valid instrument for
assessing parental perceptions of preschoolers’ eating behaviors. The analysis of links between child
9 / 20
Fig 2. A structural equation model of child eating behaviors and parental feeding practices. The model
shows associations between child Food approach and Food avoidance (measured with the Child Eating
Behavior Questionnaire) and parental Restriction, Pressure to eat, and Monitoring, with Concern and
Perceived responsibility (measured with the Child Feeding Questionnaire) as mediators. The effects
(standardized) are adjusted for the effects of child age, gender and body mass index standard deviation
score and for parental age, gender, body mass index, foreign origin (Nordic/non-Nordic) and education level
(University degree or not) as well as for parental life-style specific Confidence (measured with the Lifestyle
Behavior Checklist’s Confidence scale). The model shows mediocre fit to data, χ2(2718) = 5072, p < 0.001;
TLI = 0.878; CFI = 0.885; RMSEA = 0.043 (90% CI: 0.041–0.044); SRMR = 0.07. † p < 0.05; * p < 0.001.
eating behaviors and parental feeding practices reveals two important findings. First, parents
who are concerned about their child’s weight are more likely to report high levels of restrictive
feeding practices, compared to parents who only perceive their child as having a big appetite,
and are not concerned about the child’s weight. However, the results suggest that parents who
identify children as picky eaters are more likely to report high levels of pressure to eat. Second,
among predictors, child BMI SDS was the only variable that was moderately and significantly
associated with both dimensions of child eating behaviors (Food approach (positive
association) and Food avoidance (negative association)). Child BMI SDS also significantly predicted
parental concern for child weight. Together, the findings suggest that parental perception of
children’s small appetites is closely associated to the use of pressure to eat, while parental
concern about children’s overweight is closely associated with restrictive feeding practices.
Validity of the CEBQ
Previous factorial validations of the CEBQ have indicated problems at both the item and the
factor levels when the questionnaire was adapted to new populations [
34, 36, 68, 72, 78
Compared to the CEBQ’s other international adaptations, the structure proposed in this study is
very similar to the original structure, and only the Australian version is as similar [
may be due to the fact that both this study and the Australian study used CFA, which is the
appropriate method for such validation, and both had large sample sizes. The snacking item
(“My child cannot eat a meal if s/he has had a snack just before”) that loaded weakly on Satiety
responsiveness and was excluded in this study, was also problematic in the Australian study
]. A recent U.S. based study on mothers’ perceptions of feeding snacks to their preschoolers
found that mothers define snacking variably: some mothers count all eating occasions as
10 / 20
† p < 0.05
* p < 0.001
The effect of each variable 1–11 in this table on Concern, Perceived responsibility, Restriction, Pressure to eat, and Monitoring is adjusted for the effects
of all the other variables 1–11.
University: A university degree.
Confidence: Parental confidence in handling child problematic behavior related to obesity.
BMI: Body Mass Index.
BMI SDS: Body Mass Index Standard Deviation Score.
snacking, while others classify snacks as distinct from “real food” [
], for nutritional and
other reasons. In our validation of the LBC, we also experienced problems with an item on
snacking (“Eats unhealthy snacks”) [
]. Thus, we suggest that Swedish parents may also find
it difficult to define snacking, as snacks may range from an apple or an ice-cream to a small
organized meal in preschool or at home. Another issue, which is more specific to Sweden, is
that most young children spend a major part of the day in kindergarten or preschool with a
structured meal schedule, such that parents might not be sure about what the child has eaten
during several hours of the day. Therefore, the snack measure to define satiety responsiveness
may be difficult for parents to address.
Child eating behaviors and parental feeding practices
Our results extend the findings from previous research that indicated that parental feeding
behavior is closely associated with child eating behaviors [
25, 33, 55, 73, 90–93
] and parental
concern for child weight [
], but not necessarily with the child’s actual weight [
model shows that parents who perceive their children as having a small appetite are more likely
to report exerting pressure to eat. It should be noted, however, that parental perceptions of a
small appetite do not necessarily mean that the child is eating too little. Perceptions of a small
11 / 20
appetite may reflect parents’ difficulties with assessing appropriate portion sizes and
recommended intake for preschoolers, or their lack of trust in the child’s ability to self-regulate food
]. It is therefore important to inform parents about portion sizes and children’s hunger
and satiety ques as part of childhood obesity prevention and intervention programs. As
previously shown [
], our model did not demonstrate a strong association between children’s Food
approach and parental feeding practices. In the preschool age group, parents may be more
attuned to children’s undereating, and it is not until parents are concerned for the child’s
weight they change their feeding practices. This is complicated by the fact that parents find it
hard to identify their preschool aged child’s weight correctly [
]. The results point to the
importance of educating clinicians in communicating child weight status to parents [
order to support effective feeding practices and to avoid ineffective practices.
The weak association between Food approach and Restriction in this sample could be
explained by the items representing the Restriction factor as well as child age. The items “I
have to be sure that my child does not eat too many sweets (candy, ice cream, cake or pastries)”,
“I have to be sure that my child does not eat too many high-fat foods”, “I intentionally keep
some foods out of my child's reach”, “If I did not guide or regulate my child's eating, she would
eat too much junk foods” can be applicable to most preschoolers, with parents wanting to limit
sweets, fatty foods and junk foods regardless of appetite. Further, in this age group, most of the
food children eat is provided by their parents; if the parents do not provide certain foods (e.g.,
candy), they do not have to restrict these foods, even if a child has a big appetite [
]. In our
model, we excluded the two reward items from the CFQ Restriction factor (“I offer sweets
(candy, ice cream, cake, pastries) to my child as a reward for good behavior” and “I offer my
child her favorite foods in exchange for good behavior”), which may have contributed to a
lower effect of Food approach on Restriction. In the validation study of the CFQ among
Swedish parents, we discussed how these questions, although relevant, are problematic due to social
desirability: parents know that food (especially sweets and snacks) as reward should be avoided,
and are likely to respond to these items according to social norms [
There was a weak, but significant, negative association between Food avoidance and
Monitoring. Monitoring was also weakly associated with Perceived responsibility. However, neither
parental Concern nor Perceived responsibility mediated the effects of child eating behavior on
parental monitoring behavior. These findings are not surprising, as previous studies also did
not find strong associations between child eating behavior and parental monitoring: among the
parents of Australian preschoolers, no association was found between parental monitoring and
children’s eating in the absence of hunger [
], food fussiness and food responsiveness [
Similar to the role modelling of healthy eating [
], monitoring may reflect the food
environment the parent offers the child and is not a response to the child’s eating [
]. This may
explain associations between monitoring and healthier child weight development , as well
as why parents do not apply different monitoring practices to siblings of differing weight
] or eating behaviors [
Concern for child weight has been identified previously as increasing parental restrictive
]. In this sample, Concern was not only strongly associated with a parent’s
perceptions of the child’s high level of Food approach, but also mediated most of the association
between children’s Food approach and parental restrictive feeding practices. We explored the
mediating role of Concern using a theory driven statistical approach, including all scales of the
CEBQ and adjusting the model for a wide range of child and parental characteristics. Concern
as a motivator for parental behavior is important for professionals to recognize and to
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understand. Longitudinal data on American 7–14 year-olds showed that a higher level of
maternal concern was associated with a slower increase in child fat mass . Examining
results from obesity interventions, Burrows and colleagues reported a decrease in concern
about child weight after 6 months; however, concern returned to baseline levels after 12
]. The results indicate that during the intervention, when parents receive clinical
support in managing the child’s weight, concern decreases, but when clinical support ends,
concern may increase again. Identification of factors that drive parental concern about child
weight, such as socially influenced body weight ideals and knowledge about the health
consequences of obesity, that are not explicitly studied in connection to concern about child weight
], can help professionals provide parents with appropriate information and coping
strategies. However, it is important to acknowledge that we did not collect data on parental concern
about child underweight; this likely explains why concern for child weight did not mediate
effects on parental Pressure to eat, as has been reported previously [
Parental confidence in handling child eating behaviors related to obesity [
] was used
as a predictor of parental feeding practices in the model. In a validation of the LBC , the
Confidence scale proved to be unidimensional, indicating that confidence is a global construct,
not specific to certain situations or behaviors. We only detected weak negative associations,
although significant, between parental Confidence and Restriction and Pressure to eat. The
negative association is logical, since a high level of Restriction or Pressure to eat indicates lower
Confidence in handling problematic child eating behaviors, such as a too large or too small
Awareness of determinants and predictors of child eating behaviors and parenting practices
helps to develop successful childhood obesity interventions. We examined the effects of several
child and parental characteristics: age, gender, weight status, parental foreign background and
parental education level. However, only child weight status (BMI SDS) had a moderate to
strong significant association with child eating behavior and parental Concern. Child weight
has been identified previously as a predictor for child eating behavior: a lower weight status
was predictive of Food avoidance and a higher weight status of Food approach [
27, 32, 36
We found a significant independent association between child BMI SDS and parental
concern about child weight, but, like Gregory et al. [
], child weight status was not an
independent predictor for parental restrictive feeding practices. However, we did observe a significant,
though weak, negative association between BMI SDS on Pressure to eat. Parents may respond
to a child’s perceived weight, but this perceived weight does not always correspond to the
child’s actual weight [
]. We used weight status as a continuous variable and did not divide
children into different weight categories, hence we cannot draw conclusions about whether
parental concern reflected children’s actual weight status (e.g. if the child was underweight,
normal weight, overweight or obese). Beside the child’s BMI SDS, parental sociodemographic
factors were significantly associated to Concern and Perceived responsibility; the associations,
however, were also weak. This means that although some parental characteristics are associated
with their feeding practices, child characteristics–in particular, perceived weight status–may
influence parents more.
Strengths and limitations
The main strengths of this study are the use of data from a large, heterogeneous sample of
parents, both mothers and fathers, of preschoolers, and the use of advanced analysis methods,
including CFA to validate the CEBQ, and SEM to test a theoretical model of child eating
13 / 20
behaviors and their association with parental feeding practices and attitudes, controlling for
child and parental characteristics. The CFQ was previously validated with CFA in a Swedish
sample of preschoolers and proved reliable for the present population. It is also important to
note that the study included both clinical and non-clinical populations, with a satisfactorily
high response-rate (46.4%); this response rate was similar to the levels obtained in the previous
Swedish validation study of the CEBQ [
], as well as in the Dutch [
] and the Australian
validation studies [
]. The study’s main limitation is the self-reported nature of the measures of
parental and child behaviors; although self-reporting is the most practical way to assess
behaviors in a large-scale survey, we acknowledge that it may be subject to participants’ biases.
Moreover, the cross-sectional design of this study does not allow us to determine the causality of the
studied phenomena. It should be noted, however, that the questionnaires used in this study—
the CEBQ, CFQ and LBC—are currently part of an assessment battery designed to evaluate the
More and Less Study (ML) [
], an ongoing, comprehensive study of treatment interventions
for preschoolers with obesity. ML will evaluate whether child eating behaviors and parental
feeding practices are modifiable as a result of the intervention, and will also assess the relative
importance of parental and child sociodemographic factors, thus advancing our ability to
assess causality for child eating behaviors and parental feeding practices.
Previous studies have found that excessive pressure to eat and restrictive feeding practices are
counterproductive, with children eating less when being pressured and more (even in the
absence of hunger) when being restricted [
]. Our study found that pressure to eat is
associated with parents’ perceptions that their children undereat, and that restrictive feeding is
associated with parents’ perceptions that their children overeat, in the presence of parental
concerns about children’s overweight. Thus, we suggest that parents could benefit from skills
training and practical guidance on responding effectively to children’s eating behaviors.
Indeed, group intervention programs for parents of children with obesity, which include
training on how to respond to children’s eating behaviors, have shown promising results [
We suggest, moreover, that preventive educational programs on how to guide children with a
big or small appetite should be offered to all interested parents, regardless of the children’s
weight status. These general educational programs could be offered in both clinical and
nonclinical settings, particularly child health care centers and preschools, which can offer effective
outreach to the majority of the target population and are easily accessible to parents of young
This study demonstrated that the Swedish version of the CEBQ is valid and reliable in assessing
dimensions of eating behaviors among preschoolers. Moreover, through examining
associations between the CEBQ and the CFQ, and the CEBQ and the LBC, this study found that
dimensions of preschoolers’ eating behaviors are associated with parental feeding practices and
parental concern about child weight. Specifically, parental pressure to eat was strongly
associated with child food avoidance and parental restrictive behavior towards children with big
appetites was especially pronounced when parents were concerned about child weight status.
We suggest, therefore, that obesity prevention and intervention programs targeting parents of
preschoolers should take into account parental concern about child weight status and
managing children’s eating behaviors, and promote positive, child-responsive approaches to feeding.
14 / 20
We thank participating preschools and schools and parents, students Eva Pettersson, Lisa
Lundberg, Sandra Davidsson, Angelica Uhlander, all students from Uppsala University, who
helped with data collection and data entry. We also thank Sofia Ljung who offered valuable
comments during earlier stages of the study.
Conceived and designed the experiments: PN. Performed the experiments: AE LL JN. Analyzed
the data: KS. Contributed reagents/materials/analysis tools: AE KS KE CM PN. Wrote the
paper: AE KS KE LL JN CM PN. Descriptive statistics: AE.
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