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Stough CO, Rabin J, Gates T, Garr K, Combs A, Edwards ZT, Summer SS, Woo JG, Folger AT, Ammerman RT, Nuñez M, Berndsen J, Clark MJ, Frey JR, Vaughn LM. Infant Obesity Prevention Programs for Underrepresented Mothers in a Home Visiting Program: A Qualitative and Community-Engaged Needs Assessment. COMMUNITY HEALTH EQUITY RESEARCH & POLICY 2024; 44:265-279. [PMID: 37202859 PMCID: PMC10983836 DOI: 10.1177/2752535x231176730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
A qualitative, community-engaged assessment was conducted to identify needs and priorities for infant obesity prevention programs among mothers participating in home visiting programs. Thirty-two stakeholders (i.e., community partners, mothers, home visitors) affiliated with a home visiting program serving low-income families during the prenatal to age three period participated in group level assessment sessions or individual qualitative interviews. Results indicated families face many challenges to obesity prevention particularly in terms of healthy eating. An obesity prevention program can address these challenges by offering realistic feeding options and non-judgmental peer support, improving access to resources, and tailoring program content to individual family needs and preferences. Informational needs, family factors in healthy eating outcomes, and the importance of access and awareness of programs were also noted. To ensure the cultural- and contextual-relevance of infant obesity prevention programs for underserved populations, needs and preferences among community stakeholders and the focal population should be used as a roadmap for intervention development.
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Affiliation(s)
| | - Julia Rabin
- Department of Psychology, University of Cincinnati, Cincinnati, OH
| | - Taylor Gates
- Department of Psychology, University of Cincinnati, Cincinnati, OH
| | - Katlyn Garr
- Department of Psychology, University of Cincinnati, Cincinnati, OH
| | - Angela Combs
- Department of Psychology, University of Cincinnati, Cincinnati, OH
| | | | - Suzanne S. Summer
- Schubert Research Clinic, Cincinnati Children’s Hospital Medical Center
| | - Jessica G. Woo
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH
- Division of Biostatistics and Epidemiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH
| | - Alonzo T. Folger
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH
- Division of Biostatistics and Epidemiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH
- Every Child Succeeds, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH
| | - Robert T. Ammerman
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH
- Division of Behavioral Medicine and Clinical Psychology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH
- Every Child Succeeds, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH
| | - Miguel Nuñez
- Department of Psychology, University of Cincinnati, Cincinnati, OH
| | - Jennifer Berndsen
- Every Child Succeeds, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH
| | - Margaret J. Clark
- Every Child Succeeds, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH
| | - Jennifer R. Frey
- Every Child Succeeds, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH
- Division of General and Community Pediatrics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH
| | - Lisa M. Vaughn
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH
- Division of Emergency Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH
- Educational and Community-Based Action Research, University of Cincinnati College of Education, Criminal Justice & Human Services, Cincinnati, OH
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Ji N, Johnson M, Eckel SP, Gauderman WJ, Chavez TA, Berhane K, Faham D, Lurmann F, Pavlovic NR, Grubbs BH, Lerner D, Habre R, Farzan SF, Bastain TM, Breton CV. Prenatal ambient air pollution exposure and child weight trajectories from the 3rd trimester of pregnancy to 2 years of age: a cohort study. BMC Med 2023; 21:341. [PMID: 37674158 PMCID: PMC10483706 DOI: 10.1186/s12916-023-03050-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Accepted: 08/25/2023] [Indexed: 09/08/2023] Open
Abstract
BACKGROUND Prenatal air pollution exposure may increase risk for childhood obesity. However, few studies have evaluated in utero growth measures and infant weight trajectories. This study will evaluate the associations of prenatal exposure to ambient air pollutants with weight trajectories from the 3rd trimester through age 2 years. METHODS We studied 490 pregnant women who were recruited from the Maternal and Development Risks from Environmental and Social Stressors (MADRES) cohort, which comprises a low-income, primarily Hispanic population in Los Angeles, California. Nitrogen dioxide (NO2), particulate matter < 10 µm (PM10), particulate matter < 2.5 µm (PM2.5), and ozone (O3) concentrations during pregnancy were estimated from regulatory air monitoring stations. Fetal weight was estimated from maternal ultrasound records. Infant/child weight measurements were extracted from medical records or measured during follow-up visits. Piecewise spline models were used to assess the effect of air pollutants on weight, overall growth, and growth during each period. RESULTS The mean (SD) prenatal exposure concentrations for NO2, PM2.5, PM10, and O3 were 16.4 (2.9) ppb, 12.0 (1.1) μg/m3, 28.5 (4.7) μg/m3, and 26.2 (2.9) ppb, respectively. Comparing an increase in prenatal average air pollutants from the 10th to the 90th percentile, the growth rate from the 3rd trimester to age 3 months was significantly increased (1.55% [95%CI 1.20%, 1.99%] for PM2.5 and 1.64% [95%CI 1.27%, 2.13%] for NO2), the growth rate from age 6 months to age 2 years was significantly decreased (0.90% [95%CI 0.82%, 1.00%] for NO2), and the attained weight at age 2 years was significantly lower (- 7.50% [95% CI - 13.57%, - 1.02%] for PM10 and - 7.00% [95% CI - 11.86%, - 1.88%] for NO2). CONCLUSIONS Prenatal ambient air pollution was associated with variable changes in growth rate and attained weight from the 3rd trimester to age 2 years. These results suggest continued public health benefits of reducing ambient air pollution levels, particularly in marginalized populations.
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Affiliation(s)
- Nan Ji
- Division of Environmental Health, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 1845 N Soto St, MC 9239, Los Angeles, CA, 90039, USA
| | | | - Sandrah P Eckel
- Division of Environmental Health, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 1845 N Soto St, MC 9239, Los Angeles, CA, 90039, USA
| | - William J Gauderman
- Division of Environmental Health, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 1845 N Soto St, MC 9239, Los Angeles, CA, 90039, USA
| | - Thomas A Chavez
- Division of Environmental Health, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 1845 N Soto St, MC 9239, Los Angeles, CA, 90039, USA
| | - Kiros Berhane
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, 10032, USA
| | - Dema Faham
- Division of Environmental Health, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 1845 N Soto St, MC 9239, Los Angeles, CA, 90039, USA
| | - Fred Lurmann
- Sonoma Technology Inc., Petaluma, CA, 94954, USA
| | | | - Brendan H Grubbs
- Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90089, USA
| | | | - Rima Habre
- Division of Environmental Health, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 1845 N Soto St, MC 9239, Los Angeles, CA, 90039, USA
| | - Shohreh F Farzan
- Division of Environmental Health, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 1845 N Soto St, MC 9239, Los Angeles, CA, 90039, USA
| | - Theresa M Bastain
- Division of Environmental Health, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 1845 N Soto St, MC 9239, Los Angeles, CA, 90039, USA
| | - Carrie V Breton
- Division of Environmental Health, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 1845 N Soto St, MC 9239, Los Angeles, CA, 90039, USA.
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Wood CT, Truong T, Skinner AC, Armstrong SC, Perrin EM, Woo JG, Green CL. Timing and Magnitude of Peak Body Mass Index and Peak Weight Velocity in Infancy Predict Body Mass Index at 2 Years in a Retrospective Cohort of Electronic Health Record Data. J Pediatr 2023:S0022-3476(23)00115-4. [PMID: 36822510 DOI: 10.1016/j.jpeds.2023.01.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 01/10/2023] [Accepted: 01/13/2023] [Indexed: 02/23/2023]
Abstract
OBJECTIVES To use growth data from electronic health records to describe and model infant growth (weight velocity and peak body mass index [pBMI]) characteristics. STUDY DESIGN We extracted data from all children born at ≥34 weeks of gestation within one health system between 2014 and 2017. After excluding implausible growth data with an algorithm created for childhood growth, we estimated pBMI, peak weight and length velocities, and the odds of obesity at 2 years, adjusted for race, sex, ethnicity, and birth weight, by the magnitude of peak weight velocity, peak length velocity, and pBMI. RESULTS Among 6425 children (41% White, 28% Black, 26% other race; 16% Hispanic ethnicity), mean pBMI was 17.9 kg/m2 (SD 1.5) and mean age at pBMI was 9.6 months (SD 2.7). Mean peak weight velocity was 949 g (SD 165) per 2 weeks, and the mean peak length velocity was 3.4 cm (SD 0.3) per 2 weeks. Children with obesity at 2 years (n = 931, 14.5%) were more likely to be Hispanic, had greater peak weight and peak length velocities, and had 2 kg/m2 greater magnitude of pBMI than children without obesity. For each unit increase in pBMI, children had more than 4 times greater odds of obesity at age 2 years. CONCLUSIONS In a large sample of infants with clinical growth data tracked via electronic health records, we found associations between the magnitude and timing of peak infant BMI and obesity at 2 years of age.
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Affiliation(s)
- Charles T Wood
- Division of General Pediatrics and Adolescent Health and Duke Center for Childhood Obesity Research, Department of Pediatrics, Duke University School of Medicine, Durham, NC.
| | - Tracy Truong
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC
| | - Asheley C Skinner
- Department of Population Health Sciences, Duke University Medical School, Durham, NC; Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC
| | - Sarah C Armstrong
- Division of General Pediatrics and Adolescent Health and Duke Center for Childhood Obesity Research, Department of Pediatrics, Duke University School of Medicine, Durham, NC; Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC
| | - Eliana M Perrin
- Department of Pediatrics, Johns Hopkins School of Medicine, and School of Nursing, Baltimore, MD
| | - Jessica G Woo
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH; Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Cynthia L Green
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC; Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC
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