| Literature DB >> 35455618 |
María José Menor-Rodriguez1, Jonathan Cortés-Martín2, Raquel Rodríguez-Blanque2, María Isabel Tovar-Gálvez3, María José Aguilar-Cordero4, Juan Carlos Sánchez-García2.
Abstract
A health promotion intervention directed at preventing unhealthy habits in relation to physical exercise, hygiene habits, diet and personal relationships can lead to a decrease in diseases during adulthood and obtaining a better quality of life. The intervention had a participative and multidisciplinary nature, and it was developed by health professionals, teachers and parents for school children. It promoted healthy lifestyle habits around food by working on four areas through video lessons, interactive talks, practical and theoretical-practical classes and an individual project on behalf of the student where they had to design healthy menus. We randomly selected, by stratified multistage sampling, three public primary education schools. A sample of 479 students registered during the 2014/2015 academic year aged between 6-12 years were included in the study. After the educational intervention, we found a significant reduction in the BMI of the students (p < 0.001). For breakfast, the overweight or obese children modified their usual food consumption after the intervention for a healthier breakfast based on fruit juice and bread instead of sugary snacks (p < 0.001). Regarding eating habits during the mid-morning break, there was a decrease in the consumption of sugary snacks (p < 0.001) and an increase in the consumption of fruits and sandwiches. We found that, after the intervention, the excessive consumption of pasta for the main meal reduced in favor of an increase in the consumption of proteins and different beans and pulses (p > 0.001). Educational interventions on healthy lifestyle habits carried out in children during their early years improve and correct unhealthy habits.Entities:
Keywords: children; health behavior; nutrition; prevention; students
Year: 2022 PMID: 35455618 PMCID: PMC9028132 DOI: 10.3390/children9040574
Source DB: PubMed Journal: Children (Basel) ISSN: 2227-9067
Figure 1Intervention diagram.
Figure 2Flow diagram of the study sample.
Descriptive analysis of sample.
| Variables | Frequency (N) | Percentage (%) | |
|---|---|---|---|
| Sex | Male | 221 | 46.1 |
| Female | 258 | 53.9 | |
| Age | Mean (deviation) | 8.66 (1.489) | |
| BMI | Low weight | 19 | 4 |
| Normal | 344 | 71.8 | |
| Overweight | 89 | 18.6 | |
| Obese | 27 | 5.6 | |
| Location | Urban coastal | 157 | 32.8 |
| Urban inland | 104 | 21.7 | |
| Rural inland | 218 | 45.5 | |
| Lives with | Parents | 306 | 63.9 |
| Parents + grandparents | 101 | 21.1 | |
| Others | 72 | 15 | |
| Parental education level | University | 106 | 22.1 |
| 6 years Secondary | 153 | 31.9 | |
| Primary or incomplete secondary | 220 | 45.9 | |
| Parental occupation | Father works | 135 | 28.2 |
| Mother works | 2 | 0.4 | |
| Both work | 342 | 71.4 | |
| Meal completion | Completes 5 meals | 435 | 90.8 |
| Does not eat breakfast | 6 | 1.3 | |
| Does not eat mid-morning snack | 12 | 2.5 | |
| Does not eat lunch | 1 | 0.2 | |
| Does not eat afternoon snack | 14 | 2.9 | |
| Does not eat supper | 11 | 2.3 | |
| Number of siblings | Only child | 60 | 12.5 |
| 1 sibling | 399 | 83.3 | |
| 2 siblings | 20 | 4.2 | |
Figure 3Food consumption at breakfast according to the BMI prior to the intervention.
Comparative analysis of BMI values pre- and post-intervention. Number and percentage (%).
| BMI Pre-Intervention | BMI Post-Intervention | |||
|---|---|---|---|---|
| Low Weight | Normal Weight | Overweight | Obese | |
| Total | 19 (4%) | 399 (83.3%) | 60 (12.5%) | 1 (0.2%) |
| Low weight 19 (4%) | 19 (100%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) |
| Normal weight 344 (71.8%) | 0 (0.0%) | 344 (100%) | 0 (0.0%) | 0 (0.0%) |
| Overweight 89 (18.6%) | 0 (0.0%) | 54 (60.7%) | 35 (39.3%) | 0 (0.0%) |
| Obese 27 (5.6%) | 0 (0.0%) | 1 (3.7%) | 25 (92.6%) | 1 (3.7%) |
Results of the intervention according to beneficiary variables and beneficiaries of the improvement.
| Improvement | Associated Variable | Beneficiaries of the Improvement | |
|---|---|---|---|
| BMI | Type of center | Urban coastal (21.7%) and inland (31.7%) | <0.001 |
| Previous BMI | Overweight (60.7%) and obesity (96.3%) | <0.001 | |
| Eating habits mid-morning break | Type of center | Urban coastal (21.7%) | 0.001 |
| Lives with | Other family structure (31.9%) | <0.001 | |
| Pasta consumption | Type of center | Rural inland (89.9%) and urban inland (85.6%) | <0.001 |
| Parental education level | University (93.4%) and primary (83.6%) | 0.003 | |
| Vegetable consumption | Lives with | Parents (65%) and parents + grandparents (71.3%) | <0.001 |
| Parental education level | Primary/secondary (71.4%) | 0.001 | |
| Parental occupation | Only one parent works (75.2%) | <0.001 | |
| Sweets consumption | Parental education level | Primary/secondary (74.5%) and university (61.3%) | <0.001 |
| Parental occupation | Only one parent works (80.3%) | <0.001 | |
| Hygiene habits: bathing | Type of center | Rural inland (28.4%) | 0.001 |
| Lives with | Others (58.3%) | <0.001 | |
| Parental education level | 6 years secondary (39.2%) and university (32.1%) | <0.001 | |
| Parental occupation | Both (27.2%) | <0.001 |
Figure 4Food consumption at breakfast according to BMI before the intervention.
Figure 5Food consumption at breakfast according to BMI after the intervention.