Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Erika R. Cheng"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Few existing efforts to predict childhood obesity have included risk factors across the prenatal and early infancy periods, despite evidence that the first 1000 days is critical for obesity prevention. In this study, we employed machine lear
Externí odkaz:
https://doaj.org/article/05a7f6b2c8fa48dfb5f3cfa336be5a49
Autor:
Erika R. Cheng, Courtney Moore, Lisa Parks, Elsie M. Taveras, Sarah E. Wiehe, Aaron E. Carroll
Publikováno v:
Preventive Medicine Reports, Vol 35, Iss , Pp 102333- (2023)
Objective: How we communicate about obesity is critical as treatment paradigms shift upstream. We previously identified parental perceptions, concerns, beliefs, and communication preferences about early life obesity risk. We engaged parents of childr
Externí odkaz:
https://doaj.org/article/60a7b4b1aa4f4a509a1b417879d408df
Autor:
Erika R. Cheng, Courtney Moore, Lisa Parks, Elsie M. Taveras, Sarah E. Wiehe, Aaron E. Carroll
Publikováno v:
Frontiers in Pediatrics, Vol 10 (2022)
ObjectivePediatricians are well positioned to discuss early life obesity risk, but optimal methods of communication should account for parent preferences. To help inform communication strategies focused on early life obesity prevention, we employed h
Externí odkaz:
https://doaj.org/article/3871137f69f94bcf8186d35c11a0d6ce
Autor:
Erika R. Cheng, Candace C. Nelson, Peggy Leung-Strle, Rachel Colchamiro, Elsie M. Taveras, Jennifer A. Woo Baidal
Publikováno v:
Preventive Medicine Reports, Vol 13, Iss , Pp 289-292 (2019)
Objective: The multi-sector, multi-level Massachusetts Childhood Obesity Research Demonstration (MA-CORD) study resulted in improvements in obesity risk factors among children age 2–4 years enrolled in the Special Supplemental Nutrition program for
Externí odkaz:
https://doaj.org/article/648172be9a5f40c9abd0e40a7e6972f3
Autor:
Megan S. McHenry MS, Eren Oyungu MBChB, MMED, Carole I. McAteer MPH, Ananda R. Ombitsa BSc, Erika R. Cheng PhD, MPA, Samuel O. Ayaya MBChB, MMED, Rachel C. Vreeman MD, MS
Publikováno v:
Global Pediatric Health, Vol 5 (2018)
Objective . To understand the perspectives of clinical providers and caregivers regarding early childhood development (ECD) in children born to HIV-infected mothers in Kenya. Methods . This was a qualitative study of provider and caregiver perspectiv
Externí odkaz:
https://doaj.org/article/7be182ec118b44bc973496e56f5c9cc3
Autor:
Erika R. Cheng, Summer Sherburne Hawkins, Sheryl L. Rifas-Shiman, Matthew W. Gillman, Elsie M. Taveras
Publikováno v:
BMC Public Health, Vol 16, Iss 1, Pp 1-10 (2016)
Abstract Background The role of fathers in the development of obesity in their offspring remains poorly understood. We evaluated associations of missing paternal demographic information on birth certificates with perinatal risk factors for childhood
Externí odkaz:
https://doaj.org/article/2b4416511b544c3bb79416f779b52b12
Autor:
Erika R Cheng, Mandy Luo, Meghan Perkins, Tiffany Blake-Lamb, Milton Kotelchuck, Alexy Arauz Boudreau, Elsie M Taveras
Publikováno v:
Public health nutrition.
Objective:To examine associations of household food insecurity with health and obesogenic behaviours among pregnant women enrolled in an obesity prevention programme in the greater Boston area.Design:Cross-sectional evaluation. Data were collected fr
Publikováno v:
The Journal of Pediatrics. 251:24-29
To explore providers' perspectives about decisional authority, conflict resolution, and diverse family structures within the context of periviable delivery (eg, between 22 and 25 weeks of gestation), with the ultimate goal of helping practitioners su
Publikováno v:
BioMedInformatics; Volume 2; Issue 1; Pages: 184-203
Previous studies demonstrate the feasibility of predicting obesity using various machine learning techniques; however, these studies do not address the limitations of these methods in real-life settings where available data for children may vary. We
Few existing efforts to predict childhood obesity have included risk factors across the prenatal and early infancy periods, despite evidence that the first 1,000 days is critical for obesity prevention. In this study, we employed machine learning tec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23a8a26a0ce2a5e510bf4cabd7bdc2cb
https://doi.org/10.21203/rs.3.rs-1801096/v1
https://doi.org/10.21203/rs.3.rs-1801096/v1