[Effect of Eating Behavior Intervention on Infants in the Urban Area of Chongqing, China].

[Effect of eating behavior intervention on infants in the urban area of Chongqing, China].

Zhongguo Dang Dai Er Ke Za Zhi. 2013 May; 15(5): 361-3
Wen J, Wang NR, Zhao Y, Fan X, Ye Y

To investigate how to establish good eating behavior and correct bad eating habits in infants by means of the child health care outpatient clinic and to promote the growth and development of infants.Infants aged 0-3 months, who were randomly selected from the urban area of Chongqing, were divided into intervention and control groups. The infants in the intervention group received all intervention measures in the study, while those in the control group received conventional health care. Both groups were subjected to regular monitoring of eating behavior indices including time of introduction of foods, frequency of adding complementary foods and intake frequency of unhealthy foods to analyze the effect of intervention.In the intervention group, foods were introduced at a reasonable time (P<0.01). Compared with those in the control group, the children aged 9 and 12 months in the intervention group had a significantly higher intake frequency of meat, vegetables and fruits (P<0.01) and a significantly lower intake frequency of sweet drinks (P<0.05), children aged 18 and 24 months in the intervention group had a significantly lower intake frequency of sweet drinks (P<0.01), and the children aged 24 months in the intervention group had a significantly lower intake frequency of ice cream (P<0.01).Eating behavior intervention can promote the proper introduction of foods and regular addition of supplementary foods, as well as decrease the intake frequency of unhealthy foods such as sweet drinks and ice cream, thus improving the eating behavior of infants. HubMed – eating


Advancing Bodies of Evidence for Population-based Health Promotion Programs: Randomized Controlled Trials and Case Studies.

Popul Health Manag. 2013 May 15;
Johnson JL, Prochaska JO, Paiva AL, Fernandez AC, Dewees SL, Prochaska JM

Abstract This study provides a demonstration of how published intervention outcomes can be used to create benchmarks for wellness programs for comparison of a case study. Case study results can then be applied by decision makers to adopt and evaluate the relative effectiveness of wellness programs. This case study assessed outcomes from Transtheoretical Model (TTM) computer-tailored interventions (CTIs) on 6 behaviors over a 5-year period. Results were compared with outcomes from a series of TTM randomized controlled trials and a representative review of workplace wellness interventions. The case study included 6544 employees, their spouses, and adult dependents who participated in a multicomponent CTI that assessed health risks and provided tailored feedback. Case study results were compared with 26 outcomes from 14 randomized controlled TTM-based CTIs, and with results from a published review of worksite-based wellness programs. The outcomes of the dissemination study were comparable to the average results of the TTM-based randomized controlled trials on stress and depression but exceeded the averages on smoking, healthy eating, fruit and vegetable consumption, and exercise by 16.4% to 44.8%. The dissemination study also exceeded by 89.3% to 7 times the average results of the workplace wellness interventions. The comparisons applied in this project represent a demanding test of the effectiveness of case studies. Length of treatment and choice of treatments are factors that may have contributed to above-average outcomes. (Population Health Management 2013;16:xxx-xxx). HubMed – eating


Associations between eating meals, watching TV while eating meals and weight status among children, ages 10–12 years in eight European countries: the ENERGY cross-sectional study.

Int J Behav Nutr Phys Act. 2013 May 15; 10(1): 58
Vik FN, Bjørnarå HB, Overby NC, Lien N, Androutsos O, Maes L, Jan N, Kovacs E, Moreno LA, Dössegger A, Manios Y, Brug J, Bere E

BACKGROUND: To assess the association of eating meals, and never watching TV while eating meals, with weight status among children, ages 10–12 years across Europe. METHODS: 7915 children (mean age: 11.5 years) in eight European countries (Belgium, Greece, Hungary, the Netherlands, Norway, Slovenia, Spain and Switzerland) completed a questionnaire at school. Data on meals eaten the day before questionnaire administration and the frequency of eating meals while watching TV were collected. Height and weight of the children were objectively assessed. Multinomial and binary regression analyses were conducted to test associations of eating meals (adjusted for gender and ethnicity) and never watching TV while eating meals (adjusted for gender, ethnicity and total TV time) with overweight/obesity, and to test for country- and socio-demographic differences. RESULTS: The proportions of children reporting eating breakfast, lunch and dinner were 85%, 96%, and 93% respectively, and 55%, 46% and 32% reported to never watch TV at breakfast, lunch and dinner respectively. The children who ate breakfast (OR = 0.6 (95% CI 0.5-0.7)) and dinner (OR = 0.4 (95% CI 0.3-0.5)), had lower odds of being overweight compared to those who did not. The children who never watched TV at lunch (OR = 0.7 (95% CI 0.7-0.8)) and dinner (OR = 0.8 (95% CI 0.7-0.9)) had lower odds of being overweight compared to those who watched TV at the respective meals. CONCLUSIONS: The odds of being overweight was lower for children who ate breakfast and dinner compared to those who did not eat the respective meals. The odds of being overweight was lower for children who reported to never watch TV at lunch and dinner compared to those who did. A focus towards meal frequency and watching TV during meals in longitudinal and interventions studies in prevention of overweight and obesity, may contribute to a better understanding of causality. HubMed – eating


Effect of Skipping Breakfast on Subsequent Energy Intake.

Physiol Behav. 2013 May 11;
Levitsky DA, Paconowski CR

The objective was to examine the effect of consuming breakfast on subsequent energy intake. Participants who habitually ate breakfast and those who skipped breakfast were recruited for two studies. Using a randomized crossover design , the first study, examined the effect of having participants consume either (a) no breakfast, (b) a high carbohydrate breakfast (335 kcals) or (c) a high fiber breakfast (360) kcals on three occasions and measured ad libitum intake at lunch. The second study again used a randomized crossover design but with a larger, normal carbyhydrate, breakfast consumed ad libtum. Intake averaged 624 kcals and subsequent food intake was measured throughout the day.Participants ate only foods served from the Cornell Human Metabolic Research Unit where all foods were weighed before and after consumption. In the first study, neither eating breakfast nor the kind of breakfast consumed had an effect on the amount consumed at lunch despite a reduction in hunger ratings. In the second study, intake at lunch as well as hunger ratings was significantly increased after skipping breakfast, by 144 Kcal, leaving a net caloric deficit of 408 Kcal by the end of the day.These data are consistent with published literature demonstrating that skipping a meal does not result in accurate energy compensation at subsequent meals and suggests that skipping breakfast may be an effective means to reduce daily energy intake in some adults. HubMed – eating