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Hummel S, Rosenberger S, von dem Berge T, Besser REJ, Casteels K, Hommel A, Kordonouri O, Elding Larsson H, Lundgren M, Marcus BA, Oltarzewski M, Rochtus A, Szypowska A, Todd JA, Weiss A, Winkler C, Bonifacio E, Ziegler AG. Early-childhood body mass index and its association with the COVID-19 pandemic, containment measures and islet autoimmunity in children with increased risk for type 1 diabetes. Diabetologia 2024; 67:670-678. [PMID: 38214711 PMCID: PMC10904508 DOI: 10.1007/s00125-023-06079-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 11/14/2023] [Indexed: 01/13/2024]
Abstract
AIMS/HYPOTHESIS The aim of this study was to determine whether BMI in early childhood was affected by the COVID-19 pandemic and containment measures, and whether it was associated with the risk for islet autoimmunity. METHODS Between February 2018 and May 2023, data on BMI and islet autoimmunity were collected from 1050 children enrolled in the Primary Oral Insulin Trial, aged from 4.0 months to 5.5 years of age. The start of the COVID-19 pandemic was defined as 18 March 2020, and a stringency index was used to assess the stringency of containment measures. Islet autoimmunity was defined as either the development of persistent confirmed multiple islet autoantibodies, or the development of one or more islet autoantibodies and type 1 diabetes. Multivariate linear mixed-effect, linear and logistic regression methods were applied to assess the effect of the COVID-19 pandemic and the stringency index on early-childhood BMI measurements (BMI as a time-varying variable, BMI at 9 months of age and overweight risk at 9 months of age), and Cox proportional hazard models were used to assess the effect of BMI measurements on islet autoimmunity risk. RESULTS The COVID-19 pandemic was associated with increased time-varying BMI (β = 0.39; 95% CI 0.30, 0.47) and overweight risk at 9 months (β = 0.44; 95% CI 0.03, 0.84). During the COVID-19 pandemic, a higher stringency index was positively associated with time-varying BMI (β = 0.02; 95% CI 0.00, 0.04 per 10 units increase), BMI at 9 months (β = 0.13; 95% CI 0.01, 0.25) and overweight risk at 9 months (β = 0.23; 95% CI 0.03, 0.43). A higher age-corrected BMI and overweight risk at 9 months were associated with increased risk for developing islet autoimmunity up to 5.5 years of age (HR 1.16; 95% CI 1.01, 1.32 and HR 1.68, 95% CI 1.00, 2.82, respectively). CONCLUSIONS/INTERPRETATION Early-childhood BMI increased during the COVID-19 pandemic, and was influenced by the level of restrictions during the pandemic. Controlling for the COVID-19 pandemic, elevated BMI during early childhood was associated with increased risk for childhood islet autoimmunity in children with genetic susceptibility to type 1 diabetes.
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Affiliation(s)
- Sandra Hummel
- Institute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany.
- Forschergruppe Diabetes e.V. at Helmholtz Zentrum München, Munich, Germany.
- School of Medicine, Forschergruppe Diabetes at Klinikum rechts der Isar, Technical University Munich, Munich, Germany.
| | - Sarah Rosenberger
- Institute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Ludwig-Maximilians-Universität München, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | | | - Rachel E J Besser
- Centre for Human Genetics, JDRF/Wellcome Diabetes and Inflammation Laboratory, Nuffield Department of Medicine, NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Kristina Casteels
- Department of Pediatrics, University Hospitals Leuven, Leuven, Belgium
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium
| | - Angela Hommel
- Center for Regenerative Therapies Dresden, Technische Universität Dresden, Dresden, Germany
- Paul Langerhans Institute Dresden of the Helmholtz Munich at University Hospital Carl Gustav Carus and Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Olga Kordonouri
- Kinder- und Jugendkrankenhaus auf der Bult, Hannover, Germany
| | - Helena Elding Larsson
- Unit for Pediatric Endocrinology, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
- Department of Paediatrics, Skane University Hospital, Malmö/Lund, Sweden
| | - Markus Lundgren
- Unit for Pediatric Endocrinology, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
- Department of Pediatrics, Kristianstad Hospital, Kristianstad, Sweden
| | - Benjamin A Marcus
- School of Medicine, Forschergruppe Diabetes at Klinikum rechts der Isar, Technical University Munich, Munich, Germany
| | - Mariusz Oltarzewski
- Department of Paediatric Diabetology and Paediatrics, The Children's Clinical Hospital Józef Polikarp Brudziński, Warsaw, Poland
- Department of Paediatrics, Medical University of Warsaw, Warsaw, Poland
| | - Anne Rochtus
- Department of Pediatrics, University Hospitals Leuven, Leuven, Belgium
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium
| | - Agnieszka Szypowska
- Department of Paediatric Diabetology and Paediatrics, The Children's Clinical Hospital Józef Polikarp Brudziński, Warsaw, Poland
- Department of Paediatrics, Medical University of Warsaw, Warsaw, Poland
| | - John A Todd
- Centre for Human Genetics, JDRF/Wellcome Diabetes and Inflammation Laboratory, Nuffield Department of Medicine, NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Andreas Weiss
- Institute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany
| | - Christiane Winkler
- Institute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany
- Forschergruppe Diabetes e.V. at Helmholtz Zentrum München, Munich, Germany
| | - Ezio Bonifacio
- Center for Regenerative Therapies Dresden, Technische Universität Dresden, Dresden, Germany
- Paul Langerhans Institute Dresden of the Helmholtz Munich at University Hospital Carl Gustav Carus and Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Anette-G Ziegler
- Institute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany
- Forschergruppe Diabetes e.V. at Helmholtz Zentrum München, Munich, Germany
- School of Medicine, Forschergruppe Diabetes at Klinikum rechts der Isar, Technical University Munich, Munich, Germany
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Sciortino S, Graham S, Fillman T, Kandasamy H, Cooley R, Hanson C, Eckert V, Tang H, Yang J, Seftel D, Tsai CT, Robinson P. Shadow of a Pandemic: Persistence of Prenatal SARS-CoV-2 Antibodies in Newborn Blood Spots. Int J Neonatal Screen 2023; 9:43. [PMID: 37606480 PMCID: PMC10443380 DOI: 10.3390/ijns9030043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Revised: 07/25/2023] [Accepted: 07/31/2023] [Indexed: 08/23/2023] Open
Abstract
To investigate COVID-19 surveillance among pregnant women, the California Genetic Disease Screening Program conducted a screening performance and seroprevalence evaluation of maternal SARS-CoV-2 antibodies detected in banked newborn dried blood spots (DBS). We obtained seropositive results for 2890 newborn DBS from cohorts in 2020 and 2021 using Enable Bioscience's Antibody Detection by Agglutination-PCR (ADAP) assay for SARS-CoV-2 antibodies. To infer maternal infection, we linked 312 women with a known laboratory-confirmed COVID-19 episode with their newborn's DBS SARS-CoV02 antibody result. Among 2890 newborns, we detected 453 (15.7%) with SARS-CoV-2 antibodies in their DBS. Monthly snapshot statewide seroprevalence among neonates was 12.2% (95% CI 10.3-14.1%, n =1156) in December 2020 and 33.3% (95% CI 29.1-37.4%, n = 26) in March 2021. The longest time recorded from COVID-19 infection to a seropositive neonatal result was 11.7 months among the 312 mothers who had an available SARS-CoV-2 PCR test result. Approximately 94% (153/163) of DBS were seropositive when a known maternal infection occurred earlier than 19 days before birth. The estimated relative sensitivity of DBS to identify prevalent maternal infection was 85.1%, specificity 98.5% and PPV 99.2% (n = 312); the sensitivity was lowest during the December 2021 surge when many infections occurred within 19 days of birth. Fifty pre-pandemic specimens (100% seronegative) and 23 twin-pair results (100% concordant) support an intrinsic specificity and PPV of ADAP approaching 100%. Maternal infection surveillance is limited by a time lag prior to delivery, especially during pandemic surges.
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Affiliation(s)
- Stanley Sciortino
- Genetic Disease Screening Program, California Department of Public Health, Richmond, CA 94804, USA (H.K.)
| | - Steve Graham
- Genetic Disease Screening Program, California Department of Public Health, Richmond, CA 94804, USA (H.K.)
| | - Toki Fillman
- Genetic Disease Screening Program, California Department of Public Health, Richmond, CA 94804, USA (H.K.)
| | - Hari Kandasamy
- Genetic Disease Screening Program, California Department of Public Health, Richmond, CA 94804, USA (H.K.)
| | - Robin Cooley
- Genetic Disease Screening Program, California Department of Public Health, Richmond, CA 94804, USA (H.K.)
| | - Carl Hanson
- Viral and Rickettsial Disease Laboratory, California Department of Public Health, Richmond, CA 94804, USA
| | - Valorie Eckert
- Genetic Disease Screening Program, California Department of Public Health, Richmond, CA 94804, USA (H.K.)
| | - Hao Tang
- Genetic Disease Screening Program, California Department of Public Health, Richmond, CA 94804, USA (H.K.)
| | - Juan Yang
- Genetic Disease Screening Program, California Department of Public Health, Richmond, CA 94804, USA (H.K.)
| | - David Seftel
- Enable Biosciences, South San Francisco, CA 94080, USA
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Harville EW, Kracht CL, Cohen NL, Sutton EF, Kebbe M, Redman LM. Trends in Gestational Weight Gain in Louisiana, March 2019 to March 2022. JAMA Netw Open 2023; 6:e2331277. [PMID: 37642960 PMCID: PMC10466167 DOI: 10.1001/jamanetworkopen.2023.31277] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 07/22/2023] [Indexed: 08/31/2023] Open
Abstract
Importance Average gestational weight gain (GWG) increased during the COVID-19 pandemic, but it is not known whether this trend has continued. Objective To examine patterns of GWG during the COVID-19 pandemic by delivery and conception timing through the second year of the pandemic. Design, Setting, and Participants This cohort study is a retrospective review of birth certificate and delivery records from 2019 to 2022. Electronic health records were from the largest delivery hospital in Louisiana. Participants included all individuals giving birth from March 2019 to March 2022. Data analysis was performed from October 2022 to July 2023. Exposure Delivery date (cross-sectionally) and conception before the pandemic (March 2019 to March 2020) and during the peak pandemic (March 2020 to March 2021) and late pandemic (March 2021 to March 2022). Main Outcomes and Measures The primary outcome was GWG (total GWG and adherence to the 2009 Institute of Medicine recommendations) analyzed using linear and log-linear regression with control for covariates. Results Among 23 012 total deliveries (8763 Black individuals [38.1%]; 11 774 White individuals [51.2%]; mean [SD] maternal age, 28.9 [5.6] years), 3182 individuals (42.0%) exceeded the recommended weight gain in the year proceeding the pandemic, 3400 (45.4%) exceeded recommendations during the peak pandemic, and 3273 (44.0%) exceeded recommendations in the late pandemic. Compared with those who delivered before the pandemic (reference), participants had higher total GWG if they delivered peak or late pandemic (adjusted β [SE], 0.38 [0.12] kg vs 0.19 [0.12] kg; P = .007). When cohorts were defined by conception date, participants who conceived before the pandemic but delivered after the pandemic started had higher GWG compared with those whose entire pregnancy occurred before the pandemic (adjusted β [SE], 0.51 [0.16] kg). GWG was lower in the pregnancies conceived after the pandemic started and the late pandemic (adjusted β [SE], 0.29 [0.12] kg vs 0.003 [0.14] kg; P = .003) but these participants began pregnancy at a slightly higher weight. Examining mean GWG month by month suggested a small decrease for March 2020, followed by increased mean GWG for the following year. Individuals with 2 pregnancies (1289 individuals) were less likely to gain weight above the recommended guidelines compared with their prepandemic pregnancy, but this association was attenuated after adjustment. Conclusions and Relevance In this cohort, individuals with critical time points of their pregnancy during the COVID-19 pandemic gained more weight compared with the previous year. The increased GWG leveled off as the pandemic progressed but individuals were slightly heavier beginning pregnancy.
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Affiliation(s)
- Emily W. Harville
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana
| | | | - Nicole L. Cohen
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana
| | | | - Maryam Kebbe
- Faculty of Kinesiology, University of New Brunswick, Fredericton, New Brunswick, Canada
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