The impact of reducing the frequency of night feeding on infant BMI.


Journal

Pediatric research
ISSN: 1530-0447
Titre abrégé: Pediatr Res
Pays: United States
ID NLM: 0100714

Informations de publication

Date de publication:
01 2022
Historique:
received: 28 09 2020
accepted: 06 01 2021
revised: 23 12 2020
pubmed: 6 3 2021
medline: 29 3 2022
entrez: 5 3 2021
Statut: ppublish

Résumé

Teaching caregivers to respond to normal infant night awakenings in ways other than feeding is a common obesity prevention effort. Models can simulate caregiver feeding behavior while controlling for variables that are difficult to manipulate or measure in real life. We developed a virtual infant model representing an infant with an embedded metabolism and his/her daily sleep, awakenings, and feeds from their caregiver each day as the infant aged from 6 to 12 months (recommended age to introduce solids). We then simulated different night feeding interventions and their impact on infant body mass index (BMI). Reducing the likelihood of feeding during normal night wakings from 79% to 50% to 10% lowered infant BMI from the 84th to the 75th to the 62nd percentile by 12 months, respectively, among caregivers who did not adaptively feed (e.g., adjust portion sizes of solid foods with infant growth). Among caregivers who adaptively feed, all scenarios resulted in relatively stable BMI percentiles, and progressively reducing feeding probability by 10% each month showed the least fluctuations. Reducing night feeding has the potential to impact infant BMI, (e.g., 10% lower probability can reduce BMI by 20 percentile points) especially among caregivers who do not adaptively feed. Teaching caregivers to respond to infant night waking with other soothing behaviors besides feeding has the potential to reduce infant BMI. When reducing the likelihood of feeding during night wakings from 79% to 50% to 10%, infants dropped from the 84th BMI percentile to the 75th to the 62nd by 12 months, respectively, among caregivers who do not adaptively feed. Night-feeding interventions have a greater impact when caregivers do not adaptively feed their infant based on their growth compared to caregivers who do adaptively feed. Night-feeding interventions should be one of the several tools in a multi-component intervention for childhood obesity prevention.

Sections du résumé

BACKGROUND
Teaching caregivers to respond to normal infant night awakenings in ways other than feeding is a common obesity prevention effort. Models can simulate caregiver feeding behavior while controlling for variables that are difficult to manipulate or measure in real life.
METHODS
We developed a virtual infant model representing an infant with an embedded metabolism and his/her daily sleep, awakenings, and feeds from their caregiver each day as the infant aged from 6 to 12 months (recommended age to introduce solids). We then simulated different night feeding interventions and their impact on infant body mass index (BMI).
RESULTS
Reducing the likelihood of feeding during normal night wakings from 79% to 50% to 10% lowered infant BMI from the 84th to the 75th to the 62nd percentile by 12 months, respectively, among caregivers who did not adaptively feed (e.g., adjust portion sizes of solid foods with infant growth). Among caregivers who adaptively feed, all scenarios resulted in relatively stable BMI percentiles, and progressively reducing feeding probability by 10% each month showed the least fluctuations.
CONCLUSIONS
Reducing night feeding has the potential to impact infant BMI, (e.g., 10% lower probability can reduce BMI by 20 percentile points) especially among caregivers who do not adaptively feed.
IMPACT
Teaching caregivers to respond to infant night waking with other soothing behaviors besides feeding has the potential to reduce infant BMI. When reducing the likelihood of feeding during night wakings from 79% to 50% to 10%, infants dropped from the 84th BMI percentile to the 75th to the 62nd by 12 months, respectively, among caregivers who do not adaptively feed. Night-feeding interventions have a greater impact when caregivers do not adaptively feed their infant based on their growth compared to caregivers who do adaptively feed. Night-feeding interventions should be one of the several tools in a multi-component intervention for childhood obesity prevention.

Identifiants

pubmed: 33664477
doi: 10.1038/s41390-021-01397-7
pii: 10.1038/s41390-021-01397-7
pmc: PMC8604149
mid: NIHMS1667944
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

254-260

Subventions

Organisme : NIGMS NIH HHS
ID : R01 GM127512
Pays : United States
Organisme : NICHD NIH HHS
ID : U01 HD086861
Pays : United States
Organisme : NICHD NIH HHS
ID : U54 HD070725
Pays : United States
Organisme : AHRQ HHS
ID : R01 HS028165
Pays : United States
Organisme : NICHD NIH HHS
ID : R01 HD086013
Pays : United States
Organisme : AHRQ HHS
ID : R01 HS023317
Pays : United States

Informations de copyright

© 2021. The Author(s), under exclusive licence to the International Pediatric Research Foundation, Inc.

Références

Taheri, S. The link between short sleep duration and obesity: we should recommend more sleep to prevent obesity. Arch. Dis. Child. 91, 881–884 (2006).
doi: 10.1136/adc.2005.093013 pubmed: 17056861
Taveras, E. M. et al. Short sleep duration in infancy and risk of childhood overweight. Arch. Pediatr. Adolesc. Med. 162, 305–311 (2008).
doi: 10.1001/archpedi.162.4.305 pubmed: 18391138
Hart, C. N. & Jelalian, E. Shortened sleep duration is associated with pediatric overweight. Behav. Sleep Med. 6, 251–267 (2008).
doi: 10.1080/15402000802371379 pubmed: 18853308
Reilly, J. J. et al. Early life risk factors for obesity in childhood: cohort study. BMJ 330, 1357 (2005).
doi: 10.1136/bmj.38470.670903.E0 pubmed: 15908441
McDonald, L. et al. Sleep and nighttime energy consumption in early childhood: a population‐based cohort study. Pediatr. Obes. 10, 454–460 (2015).
doi: 10.1111/ijpo.12006 pubmed: 25565402
Miller, M. A. et al. Sleep duration and incidence of obesity in infants, children, and adolescents: a systematic review and meta-analysis of prospective studies. Sleep 41, zsy018 (2018).
doi: 10.1093/sleep/zsy018
Magee, L. & Hale, L. Longitudinal associations between sleep duration and subsequent weight gain: a systematic review. Sleep Med. Rev. 16, 231–241 (2012).
doi: 10.1016/j.smrv.2011.05.005 pubmed: 21784678
Snell, E. K., Adam, E. K. & Duncan, G. J. Sleep and the body mass index and overweight status of children and adolescents. Child Dev. 78, 309–323 (2007).
doi: 10.1111/j.1467-8624.2007.00999.x pubmed: 17328707
Nielsen, L., Danielsen, K. & Sørensen, T. Short sleep duration as a possible cause of obesity: critical analysis of the epidemiological evidence. Obes. Rev. 12, 78–92 (2011).
doi: 10.1111/j.1467-789X.2010.00724.x pubmed: 20345429
Wake, M. et al. Does an intervention that improves infant sleep also improve overweight at age 6? Follow-up of a randomised trial. Arch. Dis. Child. 96, 526–532 (2011).
doi: 10.1136/adc.2010.196832 pubmed: 21402578
Taylor, B. J. et al. Targeting sleep, food, and activity in infants for obesity prevention: an RCT. Pediatrics 139, e20162037 (2017).
doi: 10.1542/peds.2016-2037 pubmed: 28242860
Savage, J. S. et al. Effect of the INSIGHT responsive parenting intervention on rapid infant weight gain and overweight status at age 1 year: a randomized clinical trial. JAMA Pediatr. 170, 742–749 (2016).
doi: 10.1001/jamapediatrics.2016.0445 pubmed: 27271455
Paul, I. M. et al. Preventing obesity during infancy: a pilot study. Obesity 19, 353–361 (2011).
doi: 10.1038/oby.2010.182 pubmed: 20725058
Field, T. Infant sleep problems and interventions: a review. Infant Behav. Dev. 47, 40–53 (2017).
doi: 10.1016/j.infbeh.2017.02.002 pubmed: 28334578
Ferguson, M. C. et al. Can following formula-feeding recommendations still result in infants who are overweight or have obesity? Pediatr. Res. 88, 661–667 (2020).
Ferguson, M. C. et al. The impact of following solid food feeding guides on BMI among infants: a simulation study. Am. J. Prev. Med. 57, 355–364 (2019).
doi: 10.1016/j.amepre.2019.04.011 pubmed: 31353163
van Rossum, G. & Drake, F. L. Python Reference Manual (PythonLabs, 2001).
Hall, K. D. Modeling metabolic adaptations and energy regulation in humans. Annu. Rev. Nutr. 32, 35–54 (2012).
doi: 10.1146/annurev-nutr-071811-150705 pubmed: 22540251
Rahmandad, H. Human growth and body weight dynamics: an integrative systems model. PLoS ONE 9, e114609 (2014).
doi: 10.1371/journal.pone.0114609 pubmed: 25479101
Butte, N. F. Energy requirements of infants. Public Health Nutr. 8, 953–967 (2005).
doi: 10.1079/PHN2005790 pubmed: 16277814
Sadeh, A., Mindell, J. A., Luedtke, K. & Wiegand, B. Sleep and sleep ecology in the first 3 years: a web‐based study. J. Sleep Res. 18, 60–73 (2009).
doi: 10.1111/j.1365-2869.2008.00699.x pubmed: 19021850
Prell, C. & Koletzko, B. Breastfeeding and complementary feeding: recommendations on infant nutrition. Dtsch. Ärzteblatt Int. 113, 435 (2016).
Grummer-Strawn, L. M., Scanlon, K. S. & Fein, S. B. Infant feeding and feeding transitions during the first year of life. Pediatrics 122, S36–S42 (2008).
doi: 10.1542/peds.2008-1315D pubmed: 18829829
Casiday, R. E., Wright, C. M., Panter-Brick, C. & Parkinson, K. Do early infant feeding patterns relate to breast-feeding continuation and weight gain? Data from a longitudinal cohort study. Eur. J. Clin. Nutr. 58, 1290–1296 (2004).
doi: 10.1038/sj.ejcn.1601964 pubmed: 15054405
Syrad, H., Johnson, L., Wardle, J. & Llewellyn, C. H. Appetitive traits and food intake patterns in early life. Am. J. Clin. Nutr. 103, 231–235 (2016).
doi: 10.3945/ajcn.115.117382 pubmed: 26675767
Iglowstein, I., Jenni, O. G., Molinari, L. & Largo, R. H. Sleep duration from infancy to adolescence: reference values and generational trends. Pediatrics 111, 302–307 (2003).
doi: 10.1542/peds.111.2.302 pubmed: 12563055
Ball, H. L. Breastfeeding, bed‐sharing, and infant sleep. Birth 30, 181–188 (2003).
doi: 10.1046/j.1523-536X.2003.00243.x pubmed: 12911801
Brown, A. & Harries, V. Infant sleep and night feeding patterns during later infancy: association with breastfeeding frequency, daytime complementary food intake, and infant weight. Breastfeed. Med. 10, 246–252 (2015).
doi: 10.1089/bfm.2014.0153 pubmed: 25973527
Dewey, K. G. Nutrition, growth, and complementary feeding of the brestfed infant. Pediatr. Clin. North Am. 48, 87–104 (2001).
doi: 10.1016/S0031-3955(05)70287-X pubmed: 11236735
Butte, N. F. et al. Energy requirements derived from total energy expenditure and energy deposition during the first 2 y of life. Am. J. Clin. Nutr. 72, 1558–1569 (2000).
doi: 10.1093/ajcn/72.6.1558 pubmed: 11101486
World Health Organization. WHO Growth charts - data table for girls length-for-age and weight-for-age charts. National Center for Health Statistics, Centers for Disease Control and Prevention, https://www.cdc.gov/growthcharts/who/girls_length_weight.htm (2010).
World Health Organization. WHO Growth charts - data table for boys length-for-age and weight-for-age charts. National Center for Health Statistics, Centers for Disease Control and Prevention, https://www.cdc.gov/growthcharts/who/boys_length_weight.htm (2010).
Douglas, P. S. & Hill, P. S. Behavioral sleep interventions in the first six months of life do not improve outcomes for mothers or infants: a systematic review. J. Dev. Behav. Pediatr. 34, 497–507 (2013).
doi: 10.1097/DBP.0b013e31829cafa6 pubmed: 24042081
Toomey, E. et al. A collaborative approach to developing sustainable behaviour change interventions for childhood obesity prevention: development of the Choosing Healthy Eating for Infant Health (CHErIsH) intervention and implementation strategy. Br. J. Health Psychol. 25, 275–304 (2020).
doi: 10.1111/bjhp.12407 pubmed: 31999887
Adair, R. et al. Reducing night waking in infancy: a primary care intervention. Pediatrics 89, 585–588 (1992).
doi: 10.1542/peds.89.4.585 pubmed: 1557234
St James-Roberts, I., Roberts, M., Hovish, K. & Owen, C. Video evidence that parenting methods predict which infants develop long night-time sleep periods by three months of age. Prim. Health Care Res. Dev. 18, 212–226 (2017).
doi: 10.1017/S1463423616000451
Scher, A. Attachment and sleep: a study of night waking in 12‐month‐old infants. Dev. Psychobiol. 38, 274–285 (2001).
doi: 10.1002/dev.1020 pubmed: 11319732
Blunden, S. L., Thompson, K. R. & Dawson, D. Behavioural sleep treatments and night time crying in infants: challenging the status quo. Sleep Med. Rev. 15, 327–334 (2011).
doi: 10.1016/j.smrv.2010.11.002 pubmed: 21295501
Gradisar, M. et al. Behavioral interventions for infant sleep problems: a randomized controlled trial. Pediatrics 137, e20151486 (2016).
Mullins, E. N. et al. Acute sleep restriction increases dietary intake in preschool‐age children. J. Sleep Res. 26, 48–54 (2017).
doi: 10.1111/jsr.12450
Leproult, R. & Van Cauter, E. Role of sleep and sleep loss in hormonal release and metabolism. Endocr. Dev. 17, 11–21 (2010).
Hart, C. N. et al. Changes in children’s sleep duration on food intake, weight, and leptin. Pediatrics 132, e1473–e1480 (2013).
doi: 10.1542/peds.2013-1274

Auteurs

Kelly J O'Shea (KJ)

Public Health Informatics, Computational, and Operations Research (PHICOR), CUNY Graduate School of Public Health and Health Policy, New York City, NY, USA.

Marie C Ferguson (MC)

Public Health Informatics, Computational, and Operations Research (PHICOR), CUNY Graduate School of Public Health and Health Policy, New York City, NY, USA.

Layla Esposito (L)

Child Development and Behavior, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA.

Lawrence D Hammer (LD)

Department of Pediatrics, Stanford University, Stanford, CA, USA.

Cameron Avelis (C)

Public Health Informatics, Computational, and Operations Research (PHICOR), CUNY Graduate School of Public Health and Health Policy, New York City, NY, USA.

Daniel Hertenstein (D)

Public Health Informatics, Computational, and Operations Research (PHICOR), CUNY Graduate School of Public Health and Health Policy, New York City, NY, USA.

Mario Solano Gonzales (MS)

Public Health Informatics, Computational, and Operations Research (PHICOR), CUNY Graduate School of Public Health and Health Policy, New York City, NY, USA.

Sarah M Bartsch (SM)

Public Health Informatics, Computational, and Operations Research (PHICOR), CUNY Graduate School of Public Health and Health Policy, New York City, NY, USA.

Patrick T Wedlock (PT)

Public Health Informatics, Computational, and Operations Research (PHICOR), CUNY Graduate School of Public Health and Health Policy, New York City, NY, USA.

Sheryl S Siegmund (SS)

Public Health Informatics, Computational, and Operations Research (PHICOR), CUNY Graduate School of Public Health and Health Policy, New York City, NY, USA.

Bruce Y Lee (BY)

Public Health Informatics, Computational, and Operations Research (PHICOR), CUNY Graduate School of Public Health and Health Policy, New York City, NY, USA. bruceleemdmba@gmail.com.

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