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Medrano-Sánchez JC, Vela-Meco C, Gutiérrez-Ramírez L, Arias-Arias Á, Tejera-Muñoz A. Impact of an educational intervention about healthy lifestyles in teenagers. Semergen 2024; 50:102191. [PMID: 38309199 DOI: 10.1016/j.semerg.2024.102191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 12/19/2023] [Accepted: 01/02/2024] [Indexed: 02/05/2024]
Abstract
BACKGROUND During the last years, lifestyle has worsened along the entire European population, causing an alarming boom-up regarding overweight and obese people. Pediatric population is also influenced in this sense, which may predispose to suffer from several diseases in adulthood. Educational interventions at early ages could be an effective strategy to face this situation. AIM To describe the impact of an educational intervention about healthy lifestyle in adolescents. METHODS A quasi-experimental study analyzing the knowledge of high school students, before and after a brief educational intervention based on a self-elaborated questionnaire including questions from the validated questionnaire CAPA (from Spanish, Conocimientos en Alimentación de Personas Adolescentes). RESULTS The results of this study show a significant increase in knowledge about healthy lifestyles in the study population after the educational intervention (14.3±3.8 vs. 16.5±4.5; p<0.001). In addition, this improvement presents an asymmetric distribution according to gender (13.2±3.6 vs. 14.9±4.6; p=0.002 in men; 15.6±3 vs. 18.1±3.6; p<0.001 in women) and the type of educational center (14.17±3.6 vs. 16.48±4.17; p<0.001 in public schools and 14.86±4.15 vs. 16.54±5.32; p=0.047 in private schools). Parents' educational level was associated with improvement in knowledge about healthy lifestyles (13.44±2.9 vs. 15.67±5.37; p=0.132 at low level, 14.22±3.42 vs. 16.9±4.68; p<0.001 at medium level and 15.75±3.3 vs. 17.39±4.5; p=0.022 at high level). CONCLUSION Educational intervention taught by primary health care professionals is a useful and efficient tool for the acquisition of nutritional and healthy lifestyle knowledge in adolescents.
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Affiliation(s)
- J C Medrano-Sánchez
- Nursing Coordinator, Primary Health Centre of Villamalea, Albacete 02270, Spain.
| | - C Vela-Meco
- Nursing, Primary Health Centre 1 of GAI Alcázar de San Juan, Alcázar de San Juan 13600, Spain
| | - L Gutiérrez-Ramírez
- Nursing, Primary Health Centre 1 of GAI Alcázar de San Juan, Alcázar de San Juan 13600, Spain; Instituto de Investigación Sanitaria de Castilla-La Mancha (IDISCAM), Toledo 45004, Spain; Hospital Nacional de Parapléjicos, Toledo 45004, Spain
| | - Á Arias-Arias
- Instituto de Investigación Sanitaria de Castilla-La Mancha (IDISCAM), Toledo 45004, Spain; Research Support Unit, Hospital General Mancha Centro, Alcázar de San Juan 13600, Spain
| | - A Tejera-Muñoz
- Instituto de Investigación Sanitaria de Castilla-La Mancha (IDISCAM), Toledo 45004, Spain; Research Support Unit, Hospital General Mancha Centro, Alcázar de San Juan 13600, Spain
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Greco F, Quinzi F, Papaianni MC, Cosco LF, Segura-Garcia C, Emerenziani GP. Effects of school-based physical activity on volition in exercise, sleep quality and internet addiction in Italian adolescents. Heliyon 2024; 10:e32129. [PMID: 38882324 PMCID: PMC11177120 DOI: 10.1016/j.heliyon.2024.e32129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 05/21/2024] [Accepted: 05/28/2024] [Indexed: 06/18/2024] Open
Abstract
School-settings represent ideal context to promote healthy habits as in adolescence most risk factors may occur or intensify leading to the adoption of unhealthy lifestyles. Thus, a deeper understanding of the factors promoting healthy lifestyles in adolescents is of utmost importance. This observational study aims to investigate: 1) gender-related differences in physical activity (Physical Activity Questionnaire for Adolescets - PAQ-A), sleep quality (Pittsburgh Sleep Quality Index - PSQI) and internet addiction (Internet Addiction Test - IAT) levels and Volition in Exercise (VE); 2) the relationship between PAQ-A and VE, PSQI and IAT; 3) the effects of a five-month (T0; T5) school-based physical activity (PA) intervention on the above-mentioned factors. PAQ-A,VE, PSQI and IAT were assessed before (T0) and after (T5) a school-based PA intervention. The PA intervention consisted of coordinative exercises and team sports performed for 1 h twice a week. At T0, girls showed lower PAQ-A, PSQI scores, lower volition facilitators ("self-confidence" and "coping with failure") and higher volition inhibitor ("postponing training") than boys. Significant correlations were observed for volition factors an IAT in males and volition and PSQI and IAT in females. After the PA intervention (T5), "postponing training" and "self-confidence" factors were reduced compared to T0. Exercise specialists should consider gender differences in volition in exercise factors during a school-based PA to plan and realize PA protocols aiming at maximizing exercise adherence to tackle sedentary behaviors in adolescents.
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Affiliation(s)
- Francesca Greco
- Department of Movement, Human and Health Sciences, University of Rome "Foro Italico", Rome, RM, Italy
| | - Federico Quinzi
- Department of Experimental and Clinical Medicine, University "Magna Græcia" of Catanzaro, CZ, Italy
| | | | | | | | - Gian Pietro Emerenziani
- Department of Experimental and Clinical Medicine, University "Magna Græcia" of Catanzaro, CZ, Italy
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Spiga F, Davies AL, Tomlinson E, Moore TH, Dawson S, Breheny K, Savović J, Gao Y, Phillips SM, Hillier-Brown F, Hodder RK, Wolfenden L, Higgins JP, Summerbell CD. Interventions to prevent obesity in children aged 5 to 11 years old. Cochrane Database Syst Rev 2024; 5:CD015328. [PMID: 38763517 PMCID: PMC11102828 DOI: 10.1002/14651858.cd015328.pub2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/21/2024]
Abstract
BACKGROUND Prevention of obesity in children is an international public health priority given the prevalence of the condition (and its significant impact on health, development and well-being). Interventions that aim to prevent obesity involve behavioural change strategies that promote healthy eating or 'activity' levels (physical activity, sedentary behaviour and/or sleep) or both, and work by reducing energy intake and/or increasing energy expenditure, respectively. There is uncertainty over which approaches are more effective and numerous new studies have been published over the last five years, since the previous version of this Cochrane review. OBJECTIVES To assess the effects of interventions that aim to prevent obesity in children by modifying dietary intake or 'activity' levels, or a combination of both, on changes in BMI, zBMI score and serious adverse events. SEARCH METHODS We used standard, extensive Cochrane search methods. The latest search date was February 2023. SELECTION CRITERIA Randomised controlled trials in children (mean age 5 years and above but less than 12 years), comparing diet or 'activity' interventions (or both) to prevent obesity with no intervention, usual care, or with another eligible intervention, in any setting. Studies had to measure outcomes at a minimum of 12 weeks post baseline. We excluded interventions designed primarily to improve sporting performance. DATA COLLECTION AND ANALYSIS We used standard Cochrane methods. Our outcomes were body mass index (BMI), zBMI score and serious adverse events, assessed at short- (12 weeks to < 9 months from baseline), medium- (9 months to < 15 months) and long-term (≥ 15 months) follow-up. We used GRADE to assess the certainty of the evidence for each outcome. MAIN RESULTS This review includes 172 studies (189,707 participants); 149 studies (160,267 participants) were included in meta-analyses. One hundred forty-six studies were based in high-income countries. The main setting for intervention delivery was schools (111 studies), followed by the community (15 studies), the home (eight studies) and a clinical setting (seven studies); one intervention was conducted by telehealth and 31 studies were conducted in more than one setting. Eighty-six interventions were implemented for less than nine months; the shortest was conducted over one visit and the longest over four years. Non-industry funding was declared by 132 studies; 24 studies were funded in part or wholly by industry. Dietary interventions versus control Dietary interventions, compared with control, may have little to no effect on BMI at short-term follow-up (mean difference (MD) 0, 95% confidence interval (CI) -0.10 to 0.10; 5 studies, 2107 participants; low-certainty evidence) and at medium-term follow-up (MD -0.01, 95% CI -0.15 to 0.12; 9 studies, 6815 participants; low-certainty evidence) or zBMI at long-term follow-up (MD -0.05, 95% CI -0.10 to 0.01; 7 studies, 5285 participants; low-certainty evidence). Dietary interventions, compared with control, probably have little to no effect on BMI at long-term follow-up (MD -0.17, 95% CI -0.48 to 0.13; 2 studies, 945 participants; moderate-certainty evidence) and zBMI at short- or medium-term follow-up (MD -0.06, 95% CI -0.13 to 0.01; 8 studies, 3695 participants; MD -0.04, 95% CI -0.10 to 0.02; 9 studies, 7048 participants; moderate-certainty evidence). Five studies (1913 participants; very low-certainty evidence) reported data on serious adverse events: one reported serious adverse events (e.g. allergy, behavioural problems and abdominal discomfort) that may have occurred as a result of the intervention; four reported no effect. Activity interventions versus control Activity interventions, compared with control, may have little to no effect on BMI and zBMI at short-term or long-term follow-up (BMI short-term: MD -0.02, 95% CI -0.17 to 0.13; 14 studies, 4069 participants; zBMI short-term: MD -0.02, 95% CI -0.07 to 0.02; 6 studies, 3580 participants; low-certainty evidence; BMI long-term: MD -0.07, 95% CI -0.24 to 0.10; 8 studies, 8302 participants; zBMI long-term: MD -0.02, 95% CI -0.09 to 0.04; 6 studies, 6940 participants; low-certainty evidence). Activity interventions likely result in a slight reduction of BMI and zBMI at medium-term follow-up (BMI: MD -0.11, 95% CI -0.18 to -0.05; 16 studies, 21,286 participants; zBMI: MD -0.05, 95% CI -0.09 to -0.02; 13 studies, 20,600 participants; moderate-certainty evidence). Eleven studies (21,278 participants; low-certainty evidence) reported data on serious adverse events; one study reported two minor ankle sprains and one study reported the incident rate of adverse events (e.g. musculoskeletal injuries) that may have occurred as a result of the intervention; nine studies reported no effect. Dietary and activity interventions versus control Dietary and activity interventions, compared with control, may result in a slight reduction in BMI and zBMI at short-term follow-up (BMI: MD -0.11, 95% CI -0.21 to -0.01; 27 studies, 16,066 participants; zBMI: MD -0.03, 95% CI -0.06 to 0.00; 26 studies, 12,784 participants; low-certainty evidence) and likely result in a reduction of BMI and zBMI at medium-term follow-up (BMI: MD -0.11, 95% CI -0.21 to 0.00; 21 studies, 17,547 participants; zBMI: MD -0.05, 95% CI -0.07 to -0.02; 24 studies, 20,998 participants; moderate-certainty evidence). Dietary and activity interventions compared with control may result in little to no difference in BMI and zBMI at long-term follow-up (BMI: MD 0.03, 95% CI -0.11 to 0.16; 16 studies, 22,098 participants; zBMI: MD -0.02, 95% CI -0.06 to 0.01; 22 studies, 23,594 participants; low-certainty evidence). Nineteen studies (27,882 participants; low-certainty evidence) reported data on serious adverse events: four studies reported occurrence of serious adverse events (e.g. injuries, low levels of extreme dieting behaviour); 15 studies reported no effect. Heterogeneity was apparent in the results for all outcomes at the three follow-up times, which could not be explained by the main setting of the interventions (school, home, school and home, other), country income status (high-income versus non-high-income), participants' socioeconomic status (low versus mixed) and duration of the intervention. Most studies excluded children with a mental or physical disability. AUTHORS' CONCLUSIONS The body of evidence in this review demonstrates that a range of school-based 'activity' interventions, alone or in combination with dietary interventions, may have a modest beneficial effect on obesity in childhood at short- and medium-term, but not at long-term follow-up. Dietary interventions alone may result in little to no difference. Limited evidence of low quality was identified on the effect of dietary and/or activity interventions on severe adverse events and health inequalities; exploratory analyses of these data suggest no meaningful impact. We identified a dearth of evidence for home and community-based settings (e.g. delivered through local youth groups), for children living with disabilities and indicators of health inequities.
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Affiliation(s)
- Francesca Spiga
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Annabel L Davies
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Eve Tomlinson
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Theresa Hm Moore
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Applied Research Collaboration West (ARC West) at University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
| | - Sarah Dawson
- NIHR Applied Research Collaboration West (ARC West) at University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Katie Breheny
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Jelena Savović
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Applied Research Collaboration West (ARC West) at University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
| | - Yang Gao
- Department of Sport, Physical Education and Health, Hong Kong Baptist University, Kowloon, Hong Kong
| | - Sophie M Phillips
- Department of Sport and Exercise Science, Durham University, Durham, UK
- Fuse - Centre for Translational Research in Public Health, Newcastle upon Tyne, UK
- Child Health and Physical Activity Laboratory, School of Occupational Therapy, Western University, London, Ontario, Canada
| | - Frances Hillier-Brown
- Fuse - Centre for Translational Research in Public Health, Newcastle upon Tyne, UK
- Human Nutrition Research Centre and Population Health Sciences Institute, University of Newcastle, Newcastle, UK
| | - Rebecca K Hodder
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, Australia
- School of Medicine and Public Health, The University of Newcastle, Callaghan, Australia
- Population Health Research Program, Hunter Medical Research Institute, New Lambton, Australia
- National Centre of Implementation Science, The University of Newcastle, Callaghan, Australia
| | - Luke Wolfenden
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, Australia
- School of Medicine and Public Health, The University of Newcastle, Callaghan, Australia
| | - Julian Pt Higgins
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Applied Research Collaboration West (ARC West) at University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
- NIHR Bristol Biomedical Research Centre at University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol, Bristol, UK
| | - Carolyn D Summerbell
- Department of Sport and Exercise Science, Durham University, Durham, UK
- Fuse - Centre for Translational Research in Public Health, Newcastle upon Tyne, UK
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Slimi O, Muscella A, Marsigliante S, Bahloul M. The impact of adapted exercises in basketball on the perception of the difficulty and physical enjoyment of students with overweight. Heliyon 2024; 10:e29190. [PMID: 38601694 PMCID: PMC11004205 DOI: 10.1016/j.heliyon.2024.e29190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 03/26/2024] [Accepted: 04/02/2024] [Indexed: 04/12/2024] Open
Abstract
The purpose of this study was to investigate the effect of the adapted basketball cycle on the perceived level of difficulty and physical enjoyment in girls and boys with overweight. Sixty-six students with overweight (aged 16-18 years) were randomly assigned to an experimental group (EG, n = 32 including 20 boys and 12 girls) and a control group (CG, n = 34; including 21 boys and 13 girls). Statistical analysis also showed that the levels of perceived difficulty decreased significantly after of seven-week of the adapted basketball cycle in both boys (Δ% = - 0.27; p < 0.001; and girls (Δ% = - 0.36; p < 0.001). There was no significant difference in students who participated in the traditional basketball cycle. A physical activity enjoyment Scale revealed that in girls, the level of enjoyment increased significantly (Δ% = + 0.27; P < 0.001) after an adapted basketball cycle. There was no significant change in physical enjoyment in boys EG (P = 0.808) and participants in the control groups. These results push us to opt more for adapted and motivational learning situations to make the teaching-learning process better, in students with overweight.
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Affiliation(s)
- Oumayma Slimi
- High Institute of Sport and Physical Education, University of Sfax, Sfax, 3000, Tunisia
- Research Laboratory: “Education, Motricité, Sport et Santé”, EM2S, LR19JS01, High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax, 3000, Tunisia
| | - Antonella Muscella
- Department of Biological and Environmental Sciences and Technologies (Di.S.Te.B.A.), University of Salento, Lecce, Italy
| | - Santo Marsigliante
- Department of Biological and Environmental Sciences and Technologies (Di.S.Te.B.A.), University of Salento, Lecce, Italy
| | - Mourad Bahloul
- Higher Institute of Education and Continuing Training, Virtual University of Tunis, Tunis, Tunisia
- Higher Institute of Business Administration of Sfax, University of Sfax, Sfax, Tunisia
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Yin Y, Zhang C, Chen Z, Qi Y, Qiu C. The impact of perceived school climate on exercise behavior engagement among obese adolescents: a dual mediation effect test of exercise benefits and perseverance qualities. Front Psychol 2023; 14:1220362. [PMID: 37854135 PMCID: PMC10579602 DOI: 10.3389/fpsyg.2023.1220362] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 09/18/2023] [Indexed: 10/20/2023] Open
Abstract
Introduction This study explores the relationship between perceived school climate and exercise behavior among obese adolescents, as well as the multiple mediating effects of perseverance qualities and exercise benefits. Methods A survey was conducted on 586 obese adolescents in Beijing, with an age range of 13-18 years old and an average age of 15.40 ± 1.824, among who 337 were male, 249 were female, 303 were high school students and 238 were middle school students. A standard scale was used to evaluate perceived school climate, exercise benefits, perseverance qualities, and exercise behaviors. The data was analyzed by independent samples t-test, bivariate correlation analysis, descriptive statistical analysis, and structural equation model (SEM). Results (1) Perceived school climate among obese adolescents positively predicted exercise behavior (Z = 2.870, p < 0.01), perseverance qualities (Z = 3.107, p < 0.01) and exercise benefits (Z = 4.290, p < 0.001); perseverance qualities positively predicted exercise behavior in obese adolescents (Z = 4.431, p < 0.001); exercise benefits positively predicted the obese adolescents' exercise behavior (Z = 4.267, p < 0.001). (2) Perseverance qualities (Z = 2.282, 95% CI [0.032, 0.191], [0.028, 0.179]) and exercise benefits (Z = 2.518, 95% CI [0.060, 0.287], [0.053, 0.271]) play a mediating role in the obese adolescents' perceived school climate and exercise behavior, respectively. These two factors have parallel multiple mediating effects between obese adolescents' perceived school climate and exercise behavior, with mediating effects accounting for 16 and 25%, respectively. The mediating effect of exercise benefits is greater than that of perseverance qualities. (3) There is no difference in the specific indirect effects of perseverance qualities and exercise benefits (Z = -0.800, 95% CI [- 0.198, 0.064], [-0.190, 0.068]). Conclusion Obese adolescents' perception of school climate can effectively enhance their motivation to participate in exercise behavior and indirectly influence exercise behavior through exercise benefits and perseverance qualities, cultivate good physical exercise behavior among obese adolescents, and effectively prevent and intervene in the occurrence of obesity.
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Affiliation(s)
- Yao Yin
- Progression School of Upper Secondary, Beijing College of Finance and Commerce, Beijing, China
| | - Chong Zhang
- Progression School of Upper Secondary, Beijing College of Finance and Commerce, Beijing, China
| | - Zhibo Chen
- Department of Physical Education, Shanghai Dianji University, Shanghai, China
| | - Yufei Qi
- Department of Physical Education and Research, Central South University, Changsha, China
| | - Cheng Qiu
- Police Sports and Warfare Training Academy, People’s Public Security University of China, Beijing, China
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Marsigliante S, Gómez-López M, Muscella A. Effects on Children's Physical and Mental Well-Being of a Physical-Activity-Based School Intervention Program: A Randomized Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:1927. [PMID: 36767292 PMCID: PMC9915543 DOI: 10.3390/ijerph20031927] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 01/12/2023] [Accepted: 01/18/2023] [Indexed: 06/17/2023]
Abstract
This study aimed to evaluate the effectiveness of physically active breaks of a total duration of 10 min a day, introduced during curricular lessons, together with a 10 min physical activity intervention during the daily school recess period on obesity prevention, fitness, cognitive function, and psychological well-being in school-aged children. A sample of 310 children (139 boys vs. 171 girls), aged between 8 and 10 years (9.82 ± 0.51), was selected. Our strategy was implemented over a 6-month period and the participants were randomly assigned to either the intervention group (n = 157) or the non-intervention (control) group (n =153). In the intervention group, a significant decrease (p < 0.05) in body mass index, waist circumference, waist-height ratio, and relative body fat mass was achieved after the intervention (T1) compared to the values measured before intervention (T0); in the control group, no differences emerged between T0 and T1 for any of the parameters considered. We found a significant increase in the intervention group in standing long jump, Ruffier, and sit and reach test scores (p < 0.001 for all). At T0, cognitive test scores did not differ between the girls and boys or between the intervention and control groups; instead at T1, significant differences were observed in the two groups regarding the total number of responses and the concentration performance scores (p < 0.001). Consistently, in the intervention group, well-being levels significantly increased between T0 and T1 (p < 0.001). Finally, the intervention had significant effects on the children regardless of gender. We may therefore conclude that schools should create more opportunities for teachers and students to introduce intervention strategies to promote regular PA during school recess.
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Affiliation(s)
- Santo Marsigliante
- Department of Biological and Environmental Sciences and Technologies (Di.S.Te.B.A.), University of Salento, 73100 Lecce, Italy
| | - Manuel Gómez-López
- Department of Physical Activity, Sport Faculty of Sports Science, University of Murcia, 30720 Murcia, Spain
| | - Antonella Muscella
- Department of Biological and Environmental Sciences and Technologies (Di.S.Te.B.A.), University of Salento, 73100 Lecce, Italy
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