Parents’ Influence on Children’s Weight-Related Behaviors Catherine McBride, Stephanie Collins, Connie Bell,
|
n |
% |
||
Family Type |
Single Parent Family Two Parent Family Missing |
51 164 1 |
23.6 75.9 .5 |
Annual Income |
Less than $10,000 $10,000 - $19,999 $20,000 - $29,999 $30,000 - $39,999 $40,000 - $49,999 $50,000 - $74,999 $75,000 - $99,999 $100,000 or higher Missing |
46 21 19 12 11 34 28 42 3 |
21.3 9.7 8.8 5.6 5.1 15.7 13.0 19.4 1.4 |
Highest Level of Education |
Did not complete high school High school diploma or GED Some College Associates Degree Bachelors Degree Masters Degree Ph.D./M.D. Missing |
6 43 9 39 64 19 35 1 |
2.8 19.9 4.2 18.0 29.6 8.8 16.2 .5 |
Ethnicity |
White/Caucasian African American/Black Asian American Hispanic/Latino Native American Other Missing |
106 87 11 5 2 4 1 |
49.1 40.3 5.1 2.3 .9 1.8 .5 |
Marital Status |
Single, never married Divorced Married Other Missing |
48 15 149 3 1 |
22.2 6.9 69.0 1.4 .5 |
Gender |
Male Female |
58 158 |
26.9 73.1 |
Procedure
Approval for this study was received from the university’s Institutional Review Board for the Protection of Human Subjects on October 25, 2007 (IRB Docket # 07-289). A total of 980 questionnaires were delivered to the four child care centers between October 29 and 31, 2007. Two packets were placed in each child’s box at the centers, one packet for each parent. Each packet included an informed consent letter for the parent to keep and the questionnaire. The IRB approved waiver of signature on the informed consent since there was no identifying information on the questionnaires. The informed consent letter indicated participation was voluntary and the parent could choose not to participate without penalty. The letter gave the parents instructions to complete the survey, place it back in the manila envelope, seal it, and return it to the center director no later than October 31, 2007 or November 2, 2007, depending on the center. To remind the parents about the survey deadline, signs were put up at each center in certain areas.
Data Analysis
Pearson’s correlations were computed to answer the first research question, whether or not there was a relationship between parent eating habits and their child’s eating habits. The second research question concerned demographic characteristics of the parent (such as education, income, BMI, single parent status, and race/ethnicity) related to child weight-related behaviors (such as fruit, vegetable, junk food and fast food consumption, television viewing, meals together as a family). To investigate this question, Pearson’s correlations and a series of analysis of variance (ANOVA) were computed. Pearson’s correlations analyzed family income; parent education; parent BMI; child fruit, vegetable, and junk food intake; television viewing; fast food consumption; and meals together as a family. For the ANOVA procedure, race/ethnicity and family type were the independent/factor variables and child fruit, vegetable, and junk food intake; television viewing; fast food consumption; and meals together as a family were the dependent variables. ANOVA assumes equal means of dependent variables.
The purpose of this study was to determine whether parents influence their child’s nutrition and weight-related behaviors. The research groups used were children under the age of 6 and their parents from selected child care centers.
Similar Eating Behaviors
Parents who consume fruits and vegetables have children that are more likely to eat fruits and vegetables, and parents who consume junk food will more likely have children who do the same. Pearson’s correlations were used for analyses related to research question one. Table 2 details the results. The number of servings of fruit the parent ate per day was significantly correlated with the number of servings of fruit their oldest child in the center ate per day (r = .343, p = .000). The number of servings of vegetables the parent ate per day was also significantly correlated with the number of servings of vegetables their child ate per day (r = .399, p = .000). The servings of junk foods eaten by the parent in a day was significantly correlated with the servings of junk foods the child ate in a day (r = .452, p = .000).
Table 2. Pearson’s Correlations of Parent Demographics and Child’s Weight-Related Behaviors (N = 216)
Family Annual Income r |
Parent Education Level r |
r |
|
Servings of fruit your child consumes per day |
-.033 |
-.063 |
-.011 |
Servings of vegetables your child consumes per day |
-.125 |
-.148* |
.146* |
Servings of junk foods your child consumes per day |
-.235*** |
-.225** |
.103 |
Number of hours child watches TV per day |
-.427*** |
-.384*** |
.151* |
Number of fast food meals your child eats per week |
-.212** |
-.169* |
.067 |
Number of dinners your family eats together per week |
.000 |
-.030 |
-.001 |
*p ≤ .05, **p ≤ .01, ***p ≤ .001
Relationship of Parent Demographics to Child Weight-Related Behaviors
ANOVA was used to determine whether there were any differences in child weight-related behaviors between African American and White parents. Results are shown in Table 3. Children of African American parents had higher mean scores on servings of junk foods per day (F = 11.754, p = .001), number of hours of television viewed per day (F = 15.846, p =.000), and number of fast food meals eaten per week (F = 12.051, p = .001).
Table 3. ANOVAs of Parent Demographics and Child’s Weight-Related Behaviors
Weight-Related Behavior |
Parent Demographic |
N |
m |
SD |
F |
Servings of fruit your child consumes per day |
White African American a |
95 75 |
2.54 2.51 |
.67 .65 |
.089 |
Servings of vegetables your child consumes per day |
White African American |
95 77 |
2.38 2.55 |
.72 .66 |
2.461 |
Servings of junk foods your child consumes per day |
White African American |
95 76 |
1.93 2.22 |
.57 .56 |
11.754*** |
Number of hours child watches TV per day |
White African American |
92 72 |
1.67 3.56 |
3.13 2.83 |
15.846*** |
Number of fast food meals your child eats per week |
White African American |
93 71 |
1.32 2.01 |
1.18 1.37 |
12.051*** |
Number of dinners your family eats together per week |
White African American |
105 84 |
4.87 5.10 |
1.67 1.92 |
.766 |
Servings of fruit your child consumes per day |
Single Parent Two Parent Family |
43 142 |
2.53 2.51 |
.59 .66 |
.034 |
Servings of vegetables your child consumes per day |
Single Parent Two Parent Family |
44 143 |
2.57 2.44 |
.70 .69 |
1.152 |
Servings of junk foods your child consumes per day |
Single Parent Two Parent Family |
43 143 |
2.12 1.99 |
.45 .63 |
1.413 |
Number of hours child watches TV per day |
Single Parent Two Parent Family |
41 138 |
4.54 1.75 |
5.22 1.49 |
31.284*** |
Number of fast food meals your child eats per week |
Single Parent Two Parent Family |
41 138 |
1.85 1.56 |
.937 1.40 |
1.616 |
Number of dinners your family eats together per week |
Single Parent Two Parent Family |
49 162 |
5.14 5.07 |
1.72 1.83 |
.065 |
p ≤ .05, **p ≤ .01, ***p ≤ .001
a White and African American parents only were used for the ANOVA of race/ethnicity.
ANOVA was used to determine whether there were any differences in child weight-related behaviors between single and two-parent families. Children of single parents had higher mean scores on number of hours of television viewed per day (F = 31.284, p = .000).
Pearson’s correlations were computed for family income; parent education; parent BMI; child fruit, vegetable, and junk food intake; television viewing; fast food consumption; and meals together as a family. Family annual income was inversely related to servings of junk food the child consumed in a day (r = -.235, p = .001), number of hours of television watched per day (r = -.427, p = .000), and number of fast food meals eaten per week (r = -.212, p = .005). Parent’s education was inversely related to servings of vegetables the child consumed per day (r = -.148, p = .043), servings of junk food the child consumed in a day (r = -.225, p = .002), number of hours of television watched per day (r = -.384, p = .000), and number of fast food meals eaten per week (r = -.169, p = .024). Parent’s BMI was positively correlated to servings of vegetables the child consumed per day (r = .146, p = .050) and number of hours of television watched per day (r = .151, p = .046).
There are some limitations that must be taken into consideration when studying this topic. The sample only included parents from child care facilities in one Southeastern city. The participants were also all parents of children between the ages of 6 weeks and 5 years old. Due to the young age of the children in the sample, we were unable to accurately calculate child BMI. A final limitation is that the parents were completing the questionnaires and answering questions regarding their children’s nutrition habits. Observation may have been a more accurate data collection technique for the child data.
This research is relevant to today’s society because of the massive increase in obesity over the past years. The main finding of this study is that parents and children have similar eating habits. We found positive correlations between child and parent’s consumption of fruits, vegetables, and junk foods. As stated earlier, children watch and will imitate their parents’ actions. Parents need to set a good example for their children to promote good eating habits and prevent obesity. It is especially important for children to develop these good eating habits at a young age before they are influenced by outside sources. This finding supports previous research (Benton, 2004; Brown & Ogden 2004; Campbell, Crawford, & Ball, 2006; Clark et al., 2007; Golan & Crow, 2004; Golan et al., 1998; Hood et al., 2000; Kleseges et al., 1991; Oliveria et al., 1992).
The second major finding of this research was the relationship of parent demographic characteristics to healthy child weight-related behaviors. Children of African American parents had higher mean scores on servings of junk foods eaten per day and number of fast food meals eaten per week. Children of African American and children of single parents had higher mean scores on number of hours of television viewed per day.
Family annual income and parent’s education were inversely related to servings of junk food the child consumed in a day, number of hours of television watched per day, and number of fast food meals eaten per week. Parent’s education was also inversely related to servings of vegetables the child consumed per day. Parent’s BMI was positively correlated to servings of vegetables the child consumed per day and number of hours of television watched per day. These findings indicate that lower income, lower educated, and African American parents may be the most appropriate audience to target with nutritional education programming.
As discussed by Benton (2004), there are many techniques parents can use to encourage healthy eating behaviors in their children. Parents should serve children a variety of foods and repeatedly offer children healthy foods they may dislike. Even if a parent does not like certain healthy food they should encourage their child to eat it. Parents should not restrict access to desired unhealthy foods and should not force children to eat. Providing an emotionally healthy atmosphere at meal times and modeling eating healthy foods has an impact on children. Benton also advises parents to keep plenty of healthy low-calorie foods on hand and to avoid using calorie-dense foods as rewards or treats.
There are several children’s cookbooks available that make food preparation fun for children. These offer creative ways for parents to improve their child’s dietary intake. Cookbooks for parents that include recipes for healthy “kid-friendly” meals are also good resources. Often child care centers offer tips to parents to help with food issues (i.e., a recipe of the week handout) and also Parent Teacher Association (PTA) meetings will frequently feature nutrition information.
Parents should want their children to lead healthy lifestyles by eating properly and exercising, even if they do not choose to do the same for themselves. Decisions made when children are young and in their parents’ care are habits they will carry with them for the rest of their lives.
Benton D. (2004). Role of parents in the determination of the food preferences of children and the development of obesity. International Journal of Obesity, 28, 858-869.
Birch, L.L. (1980). Effects of peer models’ food choices and eating behaviors on preschoolers’ food preferences. Child Development, 51, 489-496.
Brown, R., & Ogden, J. (2004). Children’s eating attitudes and behaviour: A study of the modeling and control theories of parental influence. Health Education Research, 19 (3), 261-271.
Campbell, K.J., Crawford, D.A., & Ball, K. (2006). Family food environment and dietary behaviors likely to promote fatness in 5-6 year old children. International Journal of Obesity, 30 , 1272-1280.
Centers for Disease Control and Prevention. (2006a). Overweight and obesity: Contributing factors. Retrieved May 15, 2007 from http:// www.cdc.gov/nccdphp/dnpa/obesity/contributing_factors.htm
Centers for Disease Control and Prevention. (2006b). Overweight and obesity: Introduction. Retrieved May 16, 2007 from http://www.cdc.gov/nccdphp/dnpa/obesity/index.htm
Clark, H. R., Goyder, P., Bissell, P., Blank, L., & Peters, J. (2007). How do parents’ child-feeding behaviours influence child weight? Implications for childhood obesity policy. Journal of Public Health, 29 (2), 132-141.
Contento, I.R., Basch, C., Shea, S., Gutin, B., Zybert, P., Michela, J.L., & Rips, J. (1993). Relationship of mothers’ food choice criteria to food intake of pre-school children: identification of family subgroups. Health Education Quarterly, 20, 243-259.
Craeynest, M., Crombez, G., Haerens, L., & De Bourdeaudhuij, I. (2007). Do overweight youngsters like food more than lean peers? Assessing their implicit attitudes with a personalized Implicit Association Task. Food Quality and Preference, 18 (8), 1077-1084.
Golan, M., Weizman, A., Apter, A., & Fainaru, M. (1998). Parenting as the exclusive agents of change in the treatment of childhood obesity. American Society for Clinical Nutrition, 67, 1130-1135.
Golan, M., & Crow, S. (2004). Targeting parents exclusively in the treatment of childhood obesity: Long-term results. Obesity Research, 12 (2), 357-361.
Hellmich, N. (September 13, 2006). Danger signs of obesity: Nutrition experts urge parents to lead the way to healthful eating. USA Today. Life section, 1d. Retrieved October 24, 2007 from Academic Search Premier database.
Hellmich, N. (September 4, 2007). Why are parents in denial about kids’ weight? They may not want to change own habits. USA Today. Life section, 7d. Retrieved October 24, 2007 from Academic Search Premier database.
Hood, M.Y., Moore, L.L., Sundarajan-Ramamurti, A., Singer, M., Cupples, L.A., & Ellison, R.C. (2000). Parental eating attitudes and the development of obesity in children. The Framingham Children’s Study. International Journal of Obesity, 24, 1319-1325.
Kleseges, R. C., Stein, R. J., Eck, L. H., Isbell, T. R., & Kleseges, L. M. (1991). Parental influence on food selection in young children and its relationships to childhood obesity. American Journal of Clinical Nutrition, 53 , 859-864.
Oliveria, S. A., Ellison, R. C., Moore, L. L., Gillman, M. W., Garrahie, E. J., & Singer, M. R. (1992). Parent-child relationships in nutrient intake: The Framingham Children’s Study. American Journal of Clinical Nutrition, 56, 593-598.
Parents can’t always tell if their kids are overweight, CR survey finds. (July 2007). Consumer Reports. Retrieved April 8, 2008 online at http://www.consumerreports.org/cro/search.htm?query=parents+can%27t+always+tell
|