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Healthy Lifestyle Management of Pediatric Obesity with a Hybrid System of Customized Mobile Technology: The PediaFit Pilot Project. Nutrients 2021; 13:nu13020631. [PMID: 33669174 PMCID: PMC7919673 DOI: 10.3390/nu13020631] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Revised: 01/28/2021] [Accepted: 02/08/2021] [Indexed: 12/12/2022] Open
Abstract
Pediatric obesity management strategies suffer from a high rate of dropout and persistence of weight excess, despite the use of new tools, such as automated mobile technology (MT). We aimed to compare the efficacy of two 6-month personalized MT protocols in terms of better engagement, adherence to follow-up visits and improved anthropometric and lifestyle parameters. MT contacts consisted of three personalized/not automated What's App® self-monitoring or challenge messages per week. Messages, sent by a dedicated coach were inserted between three-monthly in-presence regular visits with (PediaFit 1.2) or without (PediaFit 1.1) monthly free-of charge short recall visits carried out by a specialized pediatric team. The sample included 103 children (mean age 10 years, range 6-14) recruited in the Pediatric Obesity Clinic between January 2017 and February 2019, randomized into Intervention group (IG) (n = 24 PediaFit 1.1; n = 30 PediaFit 1.2) and Control group (CG) (total n = 49). Controls received standard treatment only (indications for healthy nutrition and physical activity, and three months in presence regular visits). Overall, both IGs achieved significantly better results than the CGs for all considered parameters. Comparison of the two IGs at the sixth month in particular showed an IG 1.2 statistically significantly lower drop-out rate (10% vs. 62%, p = 0.00009), along with significantly improved BMI (p = 0.003), Screen Time (p = 0.04) and fruit and vegetables consumption (p = 0.02). The study suggests that the hybrid association of messaging through personalized/not automated MT plus monthly free-of charge recall visits may improve the prefixed outcomes of MT weight loss intervention programs.
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Sánchez-Martínez F, Brugueras S, Serral G, Valmayor S, Juárez O, López MJ, Ariza C. Three-Year Follow-Up of the POIBA Intervention on Childhood Obesity: A Quasi-Experimental Study. Nutrients 2021; 13:453. [PMID: 33573017 PMCID: PMC7911572 DOI: 10.3390/nu13020453] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2020] [Revised: 01/25/2021] [Accepted: 01/26/2021] [Indexed: 01/08/2023] Open
Abstract
Childhood obesity has increased worldwide over the past four decades. This quasi-experimental study aimed to assess the effectiveness of a multicomponent and multilevel school-based intervention (POIBA) at 3 years of follow-up. The nutrition intervention focused on food groups, food pyramid, nutrients, portions, and balanced menus. In total, 3624 children participated in the study. Anthropometric measurements and information on food frequency and behavior, physical activity, and daily screen use were collected in the intervention (IG) and comparison group (CG). Positive unadjusted changes toward adherence to recommendations were found for water, meat, sweets, and fried potato consumption, proper breakfast, not having dinner in front of the TV, out-of-school physical activity, and daily screen use. Three scores were used to calculate the proportion of children making more than one change to improve healthy habits regarding physical activity (global Activity score), nutrition (global Nutrition score), and both (global score). Students exposed to the intervention had a significantly better global Activity score (16.2% IG vs. 11.9% CG; p = 0.012) and Global score (63.9% IG vs. 58.5% CG; p = 0.025). Intervention effects on obesity incidence at 3-year follow-up lost significance but maintained the positive trend. In conclusion, school-based interventions including a family component could be useful to address the childhood obesity problem.
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Affiliation(s)
- Francesca Sánchez-Martínez
- Agència de Salut Pública de Barcelona (Public Health Agency of Barcelona, ASPB), Pl Lesseps 1, 08023 Barcelona, Spain; (S.B.); (G.S.); (S.V.); (O.J.); (M.J.L.); (C.A.)
- Institut d’Investigació Biomèdica Sant Pau (IIIB Sant Pau), Sant Antoni Maria Claret 167, 08025 Barcelona, Spain
- Pompeu Fabra University (UPF), Health and Experimental Science Department, Doctor Aiguader 80, 08003 Barcelona, Spain
| | - Silvia Brugueras
- Agència de Salut Pública de Barcelona (Public Health Agency of Barcelona, ASPB), Pl Lesseps 1, 08023 Barcelona, Spain; (S.B.); (G.S.); (S.V.); (O.J.); (M.J.L.); (C.A.)
| | - Gemma Serral
- Agència de Salut Pública de Barcelona (Public Health Agency of Barcelona, ASPB), Pl Lesseps 1, 08023 Barcelona, Spain; (S.B.); (G.S.); (S.V.); (O.J.); (M.J.L.); (C.A.)
- Institut d’Investigació Biomèdica Sant Pau (IIIB Sant Pau), Sant Antoni Maria Claret 167, 08025 Barcelona, Spain
- Ciber de Epidemiología y Salud Pública (CIBERESP), Monforte de Lemos 3-5, 28029 Madrid, Spain
| | - Sara Valmayor
- Agència de Salut Pública de Barcelona (Public Health Agency of Barcelona, ASPB), Pl Lesseps 1, 08023 Barcelona, Spain; (S.B.); (G.S.); (S.V.); (O.J.); (M.J.L.); (C.A.)
| | - Olga Juárez
- Agència de Salut Pública de Barcelona (Public Health Agency of Barcelona, ASPB), Pl Lesseps 1, 08023 Barcelona, Spain; (S.B.); (G.S.); (S.V.); (O.J.); (M.J.L.); (C.A.)
| | - María José López
- Agència de Salut Pública de Barcelona (Public Health Agency of Barcelona, ASPB), Pl Lesseps 1, 08023 Barcelona, Spain; (S.B.); (G.S.); (S.V.); (O.J.); (M.J.L.); (C.A.)
- Institut d’Investigació Biomèdica Sant Pau (IIIB Sant Pau), Sant Antoni Maria Claret 167, 08025 Barcelona, Spain
- Pompeu Fabra University (UPF), Health and Experimental Science Department, Doctor Aiguader 80, 08003 Barcelona, Spain
- Ciber de Epidemiología y Salud Pública (CIBERESP), Monforte de Lemos 3-5, 28029 Madrid, Spain
| | - Carles Ariza
- Agència de Salut Pública de Barcelona (Public Health Agency of Barcelona, ASPB), Pl Lesseps 1, 08023 Barcelona, Spain; (S.B.); (G.S.); (S.V.); (O.J.); (M.J.L.); (C.A.)
- Institut d’Investigació Biomèdica Sant Pau (IIIB Sant Pau), Sant Antoni Maria Claret 167, 08025 Barcelona, Spain
- Ciber de Epidemiología y Salud Pública (CIBERESP), Monforte de Lemos 3-5, 28029 Madrid, Spain
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