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Home Environment Factors Associated with Child BMI Changes During COVID-19 Pandemic

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Abstract

Background: The influence of home obesogenic environments, as assessed by the validated Family Nutrition and Physical Activity (FNPA) tool, and child obesity during the COVID pandemic were evaluated using electronic health records in this retrospective cohort study.

Methods: Historical data on BMI and the FNPA screening tool were obtained from annual well-child visits within the Geisinger Health System. The study examined youth ages 2-17 that had a BMI record and an FNPA assessment prior to the pandemic (BMI 3/1/19-2/29/20), 1 BMI record 3 months into the pandemic (6/1/20-12/31/20) and 1 BMI in the second year of the pandemic (1/1/21-12/31/21). Tertiles of obesity risk by FNPA score were examined. Mixed-effects linear regression was used to examine change in BMI slope (kg/m per month) pre-pandemic to pandemic using FNPA summary and subscales scores as predictors and adjusting for confounding factors.

Results: The analyses included 6,746 children (males: 51.7%, non-Hispanic white: 86.6%, overweight:14.8%, obesity:10.3%, severe obesity: 3.9%; mean(SD) age: 5.7(2.8) years). The rate of BMI change in BMI was greatest from early pandemic compared to pre-pandemic for children in lowest versus highest tertiles of FNPA summary score (0.079 vs. 0.044 kg/m), FNPA-Eating (0.068 vs. 0.049 kg/m), and FNPA-Activity (0.078 vs. 0.052 kg/m). FNPA summary score was significantly associated with change in BMI from the pre-pandemic to early pandemic period (p = 0.014), but not associated with change in BMI during the later pandemic period.

Conclusions: This study provides additional insight into the changes in the rate of BMI change observed among children and adolescents in the United States during the COVID-19 pandemic. The FNPA provides ample opportunity to continue our exploration of the negative impact of the COVID-19 pandemic on the longitudinal growth patterns among children and adolescents.

References
1.
Bailey-Davis L, Kling S, Wood G, Cochran W, Mowery J, Savage J . Feasibility of enhancing well-child visits with family nutrition and physical activity risk assessment on body mass index. Obes Sci Pract. 2019; 5(3):220-230. PMC: 6587309. DOI: 10.1002/osp4.339. View

2.
Christison A, Daley B, Asche C, Ren J, Aldag J, Ariza A . Pairing motivational interviewing with a nutrition and physical activity assessment and counseling tool in pediatric clinical practice: a pilot study. Child Obes. 2014; 10(5):432-41. DOI: 10.1089/chi.2014.0057. View

3.
Casey J, Curriero F, Cosgrove S, Nachman K, Schwartz B . High-density livestock operations, crop field application of manure, and risk of community-associated methicillin-resistant Staphylococcus aureus infection in Pennsylvania. JAMA Intern Med. 2013; 173(21):1980-90. PMC: 4372690. DOI: 10.1001/jamainternmed.2013.10408. View

4.
Rifas-Shiman S, Aris I, Bailey C, Daley M, Heerman W, Janicke D . Changes in obesity and BMI among children and adolescents with selected chronic conditions during the COVID-19 pandemic. Obesity (Silver Spring). 2022; 30(10):1932-1937. PMC: 9807056. DOI: 10.1002/oby.23532. View

5.
Williams B, Whipps J, Sisson S, Guseman E . Associations between health-related family environment and objective child sleep quality. J Paediatr Child Health. 2021; 57(7):1031-1036. DOI: 10.1111/jpc.15372. View