Factors Influencing Early Feeding of Foods and Drinks Containing Free Sugars—A Birth Cohort Study
Abstract
:1. Introduction
2. Methods
3. Results
4. Discussion
5. Conclusions
Acknowledgments
Author Contributions
Conflicts of Interest
References
- Ness, A.R.; Griffiths, A.E.; Howe, L.D.; Leary, S.D. Drawing causal inferences in epidemiologic studies of early life influences. Am. J. Clin. Nutr. 2011, 94, 1959S–1963S. [Google Scholar] [CrossRef] [PubMed]
- Braveman, P.; Barclay, C. Health disparities beginning in childhood: A life-course perspective. Pediatrics 2009, 124 (Suppl. 3), S163–S175. [Google Scholar] [CrossRef] [PubMed]
- Broadbent, J.M.; Thomson, W.M.; Poulton, R. Trajectory patterns of dental caries experience in the permanent dentition to the fourth decade of life. J. Dent. Res. 2008, 87, 69–72. [Google Scholar] [CrossRef] [PubMed]
- Graham, H.; Power, C. Childhood disadvantage and health inequalities: A framework for policy based on lifecourse research. Child Care Health Dev. 2004, 30, 671–678. [Google Scholar] [CrossRef] [PubMed]
- Ha, D.H.; Robers-Thomson, K.; Peres, K.G.; Arrow, P.; Do, L.G. Oral health status of Australian children. In Oral Health of Australian Children: The National Child Oral Health Survey 2012–14; Do, L.G., Spencer, A.J., Eds.; University Press: Adelaide, Australia, 2016. [Google Scholar]
- Spencer, A.J. Skewed distributions—New outcome measures. Community Dent. Oral Epidemiol. 1997, 25, 52–59. [Google Scholar] [CrossRef] [PubMed]
- Diez Roux, A.V. Conceptual approaches to the study of health disparities. Annu. Rev. Public Health 2012, 33, 41–58. [Google Scholar] [CrossRef] [PubMed]
- Hooley, M.; Skouteris, H.; Millar, L. The relationship between childhood weight, dental caries and eating practices in children aged 4–8 years in Australia, 2004–2008. Pediatr. Obes. 2012, 7, 461–470. [Google Scholar] [CrossRef] [PubMed]
- Ismail, A.I.; Lim, S.; Sohn, W.; Willem, J.M. Determinants of early childhood caries in low-income African American young children. Pediatr. Dent. 2008, 30, 289–296. [Google Scholar] [PubMed]
- Seow, W.K.; Clifford, H.; Battistutta, D.; Morawska, A.; Holcombe, T. Case-control study of early childhood caries in Australia. Caries Res. 2009, 43, 25–35. [Google Scholar] [CrossRef] [PubMed]
- Lobstein, T. Maternal and child obesity: Some policy challenges. Proc. Nutr. Soc. 2011, 70, 506–513. [Google Scholar] [CrossRef] [PubMed]
- Magee, C.A.; Caputi, P.; Iverson, D.C. Identification of distinct body mass index trajectories in Australian children. Pediatr. Obes. 2013, 8, 189–198. [Google Scholar] [CrossRef] [PubMed]
- Mazarello Paes, V.; Hesketh, K.; O’Malley, C.; Moore, H.; Summerbell, C.; Griffin, S.; van Sluijs, E.M.; Ong, K.K.; Lakshman, R. Determinants of sugar-sweetened beverage consumption in young children: A systematic review. Obes. Rev. 2015, 16, 903–913. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Lioret, S.; Betoko, A.; Forhan, A.; Charles, M.A.; Heude, B.; de Lauzon-Guillain, B.; Group EM-CCS. Dietary patterns track from infancy to preschool age: Cross-sectional and longitudinal perspectives. J. Nutr. 2015, 145, 775–782. [Google Scholar] [CrossRef] [PubMed]
- Birch, L.L. Development of food preferences. Annu. Rev. Nutr. 1999, 19, 41–62. [Google Scholar] [CrossRef] [PubMed]
- Birch, L.L.; Anzman-Frasca, S. Learning to prefer the familiar in obesogenic environments. Nestle Nutr. Workshop Ser. Pediatr. Program 2011, 68, 187–196. [Google Scholar] [PubMed]
- Mennella, J.A.; Bobowski, N.K. The sweetness and bitterness of childhood: Insights from basic research on taste preferences. Physiol. Behav. 2015, 152, 502–507. [Google Scholar] [CrossRef] [PubMed]
- Pepino, M.Y.; Mennella, J.A. Factors contributing to individual differences in sucrose preference. Chem. Senses 2005, 30 (Suppl. 1), i319–i320. [Google Scholar] [CrossRef] [PubMed]
- Park, S.; Pan, L.; Sherry, B.; Li, R. The association of sugar-sweetened beverage intake during infancy with sugar-sweetened beverage intake at 6 years of age. Pediatrics 2014, 134, S56–S62. [Google Scholar] [CrossRef] [PubMed]
- Anzman, S.L.; Rollins, B.Y.; Birch, L.L. Parental influence on children’s early eating environments and obesity risk: Implications for prevention. Int. J. Obes. (Lond.) 2010, 34, 1116–1124. [Google Scholar] [CrossRef] [PubMed]
- Boak, R.; Virgo-Milton, M.; Hoare, A.; de Silva, A.; Gibbs, L.; Gold, L.; Gussy, M.; Calache, H.; Smith, M.; Waters, E. Choosing foods for infants: A qualitative study of the factors that influence mothers. Child Care Health Dev. 2016, 42, 359–369. [Google Scholar] [CrossRef] [PubMed]
- WHO. Guideline: Sugars Intake for Adults and Children; World Health Organisation: Geneva, Switzerland, 2015. [Google Scholar]
- NHMRC. Eat for Health. Australian Dietary Guidelines; Australian Government: Canberra, Australia, 2013.
- Golley, R.K.; Smithers, L.G.; Mittinty, M.N.; Emmett, P.; Northstone, K.; Lynch, J.W. Diet quality of U.K. Infants is associated with dietary, adiposity, cardiovascular, and cognitive outcomes measured at 7–8 years of age. J. Nutr. 2013, 143, 1611–1617. [Google Scholar] [PubMed]
- Moynihan, P.J.; Kelly, S.A. Effect on caries of restricting sugars intake: Systematic review to inform WHO guidelines. J. Dent. Res. 2014, 93, 8–18. [Google Scholar] [PubMed]
- Do, L.G.; Scott, J.A.; Thomson, W.M.; Stamm, J.W.; Rugg-Gunn, A.J.; Levy, S.M.; Wong, C.; Devenish, G.; Ha, D.H.; Spencer, A.J. Common risk factor approach to address socioeconomic inequality in the oral health of preschool children—A prospective cohort study. BMC Public Health 2014, 14, 429. [Google Scholar] [CrossRef] [PubMed]
- WHO. Diet, Nutrition and the Prevention of Chronic Diseases; WHO Technical Report Series 916; World Health Organization: Geneva, Switzerland, 2003. [Google Scholar]
- Engels, J.M.; Diehr, P. Imputation of missing longitudinal data: A comparison of methods. J. Clin. Epidemiol. 2003, 56, 968–976. [Google Scholar] [PubMed]
- Shrive, F.M.; Stuart, H.; Quan, H.; Ghali, W.A. Dealing with missing data in a multi-question depression scale: A comparison of imputation methods. BMC Med. Res. Methodol. 2006, 6, 57. [Google Scholar] [CrossRef] [PubMed]
- Miles, G.; Siega-Riz, A.M. Trends in Food and Beverage Consumption Among Infants and Toddlers: 2005–2012. Pediatrics 2017, e20163290. [Google Scholar] [CrossRef] [PubMed]
- Siega-Riz, A.M.; Deming, D.M.; Reidy, K.C.; Fox, M.K.; Condon, E.; Briefel, R.R. Food consumption patterns of infants and toddlers: Where are we now? J. Am. Diet. Assoc. 2010, 110, S38–S51. [Google Scholar] [CrossRef] [PubMed]
- Australian Bureau of Statistics. 4364.0.55.007—Australian Health Survey: Nutrition First Results—Foods and Nutrients, 2011–12. 9 May 2014. Available online: http://www.abs.gov.au/AUSSTATS/[email protected]/Lookup/4364.0.55.007Main+Features12011–12?OpenDocument (accessed on 23 March 2015).
- Commonwealth Scientific Industrial Research Organisation (CSIRO); Preventative Health National Research Flagship and the University of South Australia. 2007 Australian National Children’s Nutrition and Physical Activity Survey: Main Findings; Commonwealth of Australia: Canberra, Australia, 2008. [Google Scholar]
- Koh, G.A.; Scott, J.A.; Oddy, W.H.; Graham, K.I.; Binns, C.W. Exposure to non-core foods and beverages in the first year of life: Results from a cohort study. Nutr. Diet. 2010, 67, 137–142. [Google Scholar] [CrossRef]
- Byrne, R.; Magarey, A.; Daniels, L. Food and beverage intake in Australian children aged 12–16 months participating in the NOURISH and SAIDI studies. Aust. N. Z. J. Public Health 2014, 38, 326–331. [Google Scholar] [CrossRef] [PubMed]
- Daniels, L.A.; Magarey, A.; Battistutta, D.; Nicholson, J.M.; Farrell, A.; Davidson, G.; Cleghorn, G. The NOURISH randomised control trial: Positive feeding practices and food preferences in early childhood—A primary prevention program for childhood obesity. BMC Public Health 2009, 9, 387. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Zalewski, B.M.; Patro, B.; Veldhorst, M.; Kouwenhoven, S.; Crespo Escobar, P.; Calvo Lerma, J.; Koletzko, B.; van Goudoever, J.B.; Szajewska, H. Nutrition of infants and young children (one to three years) and its effect on later health: A systematic review of current recommendations (EarlyNutrition project). Crit. Rev. Food Sci. Nutr. 2017, 57, 489–500. [Google Scholar] [CrossRef] [PubMed]
- Birch, L.L.; Doub, A.E. Learning to eat: Birth to age 2 y. Am. J. Clin. Nutr. 2014, 99, 723s–728s. [Google Scholar] [CrossRef] [PubMed]
- Mannino, M.L.; Lee, Y.; Mitchell, D.C.; Smiciklas-Wright, H.; Birch, L.L. The quality of girls’ diets declines and tracks across middle childhood. Int. J. Behav. Nutr. Phys. Act. 2004, 1, 5. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Nicklaus, S.; Boggio, V.; Chabanet, C.; Issanchou, S. A prospective study of food variety seeking in childhood, adolescence and early adult life. Appetite 2005, 44, 289–297. [Google Scholar] [CrossRef] [PubMed]
- Lioret, S.; McNaughton, S.A.; Spence, A.C.; Crawford, D.; Campbell, K.J. Tracking of dietary intakes in early childhood: The Melbourne InFANT Program. Eur. J. Clin. Nutr. 2013, 67, 275–281. [Google Scholar] [CrossRef] [PubMed]
- Rose, C.M.; Birch, L.L.; Savage, J.S. Dietary patterns in infancy are associated with child diet and weight outcomes at 6 years. Int. J. Obes. (Lond.) 2017, 41, 783–788. [Google Scholar] [CrossRef] [PubMed]
- Pan, L.; Li, R.; Park, S.; Galuska, D.A.; Sherry, B.; Freedman, D.S. A longitudinal analysis of sugar-sweetened beverage intake in infancy and obesity at 6 years. Pediatrics 2014, 134 (Suppl. 1), S29–S35. [Google Scholar] [CrossRef] [PubMed]
- Feldens, C.A.; Giugliani, E.R.; Vigo, A.; Vitolo, M.R. Early feeding practices and severe early childhood caries in four-year-old children: A birth cohort study. Caries Res. 2010, 44, 445–452. [Google Scholar] [CrossRef] [PubMed]
- Tham, R.; Bowatte, G.; Dharmage, S.C.; Tan, D.J.; Lau, M.X.; Dai, X.; Allen, K.J.; Lodge, C.J. Breastfeeding and the risk of dental caries: A systematic review and meta-analysis. Acta Paediatr. 2015, 104, 62–84. [Google Scholar] [CrossRef] [PubMed]
- Park, S.; Lin, M.; Onufrak, S.; Li, R. Association of sugar-sweetened beverage intake during infancy with dental caries in 6-year-olds. Clin. Nutr. Res. 2015, 4, 9–17. [Google Scholar] [CrossRef] [PubMed]
- Nguyen, C.D.; Carlin, J.B.; Lee, K.J. Model checking in multiple imputation: An overview and case study. Emerg. Themes Epidemiol. 2017, 14, 8. [Google Scholar] [CrossRef] [PubMed]
Characteristics | Sample at Baseline (%) | Respondent Sample (n, %) | Imputed Sample (n, %) | ||
---|---|---|---|---|---|
Household income | 1408 | 1479 | |||
Q1 (lowest) (≤AU$40,000) | 19.6 | 15.1 | 15.1 | ||
Q2 (AU$40,000–80,000) | 34.3 | 33.4 | 33.4 | ||
Q3 (AU$80,000–120,000) | 27.6 | 29.1 | 29.1 | ||
Q4 (highest) (AU$120,000+) | 18.5 | 22.4 | 22.4 | ||
Mother’s soft drink consumption | 1207 | ||||
Everyday | 5.9 | 5.8 | 5.9 | ||
Sometime | 48.7 | 48.6 | 48.6 | ||
Never | 45.4 | 45.6 | 45.5 | ||
Breastfeeding at 3 months | 1418 | ||||
Yes | 72.0 | 72.9 | 72.9 | ||
No | 28.0 | 27.1 | 27.1 | ||
Mother’s fruit consumption | 1206 | ||||
Everyday | 65.0 | 64.9 | 64.7 | ||
Sometime/Never | 35.0 | 35.1 | 35.3 | ||
Mother’s age at child birth (years) | 1479 | ||||
≤24 years | 16.3 | 12.5 | - | ||
25–34 years | 64.2 | 67.1 | - | ||
35+ years | 19.5 | 20.4 | - | ||
Maternal education completed | 1467 | ||||
School | 26.8 | 21.3 | 21.3 | ||
Vocational | 27.2 | 26.2 | 26.2 | ||
Some university or higher | 46.0 | 52.5 | 52.5 | ||
Mother’s country of birth | 1462 | ||||
Australia, NZ and UK | 73.0 | 75.0 | 75.0 | ||
Asia-other | 11.4 | 11.1 | 11.1 | ||
India | 8.9 | 7.8 | 7.8 | ||
Other | 6.7 | 6.1 | 6.1 | ||
Indigenous status | 1444 | ||||
Yes | 2.5 | 1.2 | 1.2 | ||
No | 97.5 | 98.8 | 98.8 | ||
Single parent status | 1466 | ||||
Yes | 8.0 | 6.5 | 6.5 | ||
No | 92.0 | 93.5 | 93.5 | ||
Total number of children | 1433 | ||||
3+ children | 18.8 | 48.2 | 48.4 | ||
2 children | 36.0 | 35.5 | 35.4 | ||
1 child | 45.2 | 16.3 | 16.2 | ||
Mother’s work status prior to the birth | 1456 | ||||
Unemployed/home duties | 28.8 | 25.6 | 25.7 | ||
Self-employed/pensioner | 5.1 | 4.6 | 4.6 | ||
Part-time | 29.6 | 30.6 | 30.6 | ||
Full-time | 36.5 | 39.2 | 39.1 |
Characteristics | Complete Case | With Imputation | ||
---|---|---|---|---|
Per Cent | 95% CI | Per Cent | 95% CI | |
Total % with Early Introduction of Foods or Drinks with Free Sugars | 21.4 | 19.1‒23.7 | ||
Household income | ||||
Q1 (lowest) (≤AU$40,000) | 35.9 | 29.4‒42.3 | 37.0 | 29.8‒44.7 |
Q2 (AU$40,000–80,000) | 23.8 | 20.0‒27.7 | 25.5 | 21.3‒30.1 |
Q3 (AU$80,000–120,000) | 18.3 | 14.6‒22.0 | 17.8 | 14.1‒22.1 |
Q4 (highest) (AU$120,000+) | 11.4 | 8.1‒15.4 | 11.0 | 7.6‒15.2 |
Mother’s soft drink consumption | ||||
Everyday | 42.9 | 31.1‒55.3 | 43.7 | 31.9‒56.0 |
Sometime | 23.6 | 20.1‒27.0 | 23.3 | 20.0‒26.9 |
Never | 16.3 | 13.3‒19.7 | 16.6 | 13.6‒19.9 |
Breastfeeding at 3 months | ||||
Yes | 16.5 | 14.3‒19.0 | 17.3 | 14.9‒19.9 |
No | 33.9 | 29.1‒38.8 | 33.9 | 28.6‒39.5 |
Mother’s fruit consumption | ||||
Everyday | 18.1 | 15.4‒20.8 | 18.1 | 15.5‒20.9 |
Sometime/Never | 27.7 | 23.5‒32.2 | 26.9 | 22.6‒31.5 |
Maternal age at birth (years) | ||||
≤24 years | 34.3 | 27.3‒41.2 | 36.0 | 28.3‒44.2 |
25–34 years | 20.8 | 18.3‒23.5 | 20.6 | 17.9‒23.6 |
35+ years | 15.9 | 11.8‒20.1 | 15.4 | 11.2‒20.5 |
Maternal education attainment | ||||
School | 27.8 | 22.8–32.8 | 27.7 | 22.8‒32.7 |
Vocational | 24.7 | 20.4‒29.1 | 24.6 | 20.3‒28.8 |
Some university or higher | 17.5 | 14.9‒20.2 | 17.4 | 14.8‒20.1 |
Mother’s country of birth | ||||
Australia, NZ and UK | 21.2 | 18.8‒23.7 | 20.7 | 18.1‒23.5 |
Asia-other | 17.9 | 12.3‒24.7 | 19.0 | 12.9‒26.5 |
India | 35.1 | 26.4‒44.6 | 36.0 | 26.5‒46.8 |
Other | 16.9 | 9.1‒26.3 | 17.8 | 9.8‒28.5 |
Indigenous | ||||
Yes | 35.3 | 14.2‒61.7 | 38.4 | 12.0‒64.9 |
No | 21.6 | 19.5‒23.8 | 21.3 | 19.0‒23.6 |
Single parent | ||||
Yes | 32.6 | 23.4‒42.0 | 32.0 | 21.4‒42.6 |
No | 20.8 | 18.7‒23.0 | 20.7 | 18.3‒23.0 |
Total number of children | ||||
3+ children | 30.0 | 24.2‒36.4 | 32.8 | 26.1‒39.5 |
2 children | 20.0 | 16.7‒23.8 | 19.4 | 15.6‒23.1 |
1 child | 19.7 | 16.8‒22.9 | 19.4 | 16.3‒22.6 |
Mother’s work status prior to the birth | ||||
Unemployed/home duties | 27.9 | 23.4‒32.7 | 27.8 | 22.8‒33.0 |
Self-employed | 16.4 | 7.6‒25.3 | 17.2 | 7.5‒27.0 |
Part-time | 21.5 | 17.8‒25.6 | 21.6 | 17.4‒25.7 |
Full-time | 18.3 | 15.2‒21.7 | 17.9 | 14.5‒21.3 |
Characteristics | Complete Case Models | Models with Imputation | ||||||
---|---|---|---|---|---|---|---|---|
Model 1 | Model 2 | Model 1 | Model 2 | |||||
PR | 95% CI | PR | 95% CI | PR | 95% CI | PR | 95% CI | |
Household Income | ||||||||
Q1 (lowest) (≤AU$40,000) | 2.3 | 1.4–3.8 | 1.9 | 1.2–3.1 | 2.0 | 1.3–3.1 | 1.8 | 1.2–2.9 |
Q2 (AU$40,000–80,000) | 1.8 | 1.2–2.8 | 1.8 | 1.2–2.6 | 1.6 | 1.1–2.4 | 1.6 | 1.1–2.4 |
Q3 (AU$80,000–120,000) | 1.5 | 1.0–2.3 | 1.4 | 0.9–2.1 | 1.4 | 1.0–2.1 | 1.4 | 0.9–2.1 |
Q4 (highest) (AU$120,000+) | Ref | Ref | Ref | Ref | ||||
Mother’s country of birth | ||||||||
Other | 1.0 | 0.6–1.7 | 1.3 | 0.7–2.3 | 0.9 | 0.5–1.6 | 1.0 | 0.6–1.7 |
Asia-other | 1.0 | 0.7–1.6 | 1.1 | 0.7–1.8 | 1.0 | 0.7–1.5 | 1.1 | 0.7–1.6 |
India | 2.1 | 1.4–3.3 | 2.1 | 1.3–3.6 | 2.1 | 1.4–3.1 | 2.2 | 1.5–3.4 |
Australia, NZ and UK | Ref | Ref | Ref | Ref | ||||
Total number of children | ||||||||
3+ children | 1.8 | 1.3–2.6 | 1.9 | 1.3–2.9 | 1.8 | 1.3–2.5 | 1.8 | 1.3–2.5 |
2 children | 1.1 | 0.8–1.4 | 1.0 | 0.7–1.5 | 1.1 | 0.8–1.4 | 1.1 | 0.9–1.5 |
1 child | Ref | Ref | Ref | Ref | ||||
Maternal age at birth (years) | ||||||||
≤24 years | 2.1 | 1.3–3.3 | 1.9 | 1.1–3.2 | 1.9 | 1.3–3.0 | 1.7 | 1.1–2.6 |
25–34 years | 1.3 | 0.9–1.8 | 1.3 | 0.8–1.9 | 1.3 | 0.9–1.8 | 1.2 | 0.9–1.7 |
35+ years | Ref | Ref | Ref | Ref | ||||
Mother’s soft drink consumption | ||||||||
Everyday | 1.8 | 1.1–2.9 | 1.7 | 1.1–2.5 | ||||
Sometime | 1.2 | 0.9–1.6 | 1.1 | 0.9–1.4 | ||||
Never | Ref | Ref | ||||||
Mother’s fruit consumption | ||||||||
Every day | 0.8 | 0.6–1.0 | 0.8 | 0.6–1.0 | ||||
Never/Sometime | Ref | |||||||
Breastfeeding at 3 months | ||||||||
Yes | 0.6 | 0.5–0.8 | 0.6 | 0.5–0.8 | ||||
No | Ref | Ref |
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Ha, D.H.; Do, L.G.; Spencer, A.J.; Thomson, W.M.; Golley, R.K.; Rugg-Gunn, A.J.; Levy, S.M.; Scott, J.A. Factors Influencing Early Feeding of Foods and Drinks Containing Free Sugars—A Birth Cohort Study. Int. J. Environ. Res. Public Health 2017, 14, 1270. https://doi.org/10.3390/ijerph14101270
Ha DH, Do LG, Spencer AJ, Thomson WM, Golley RK, Rugg-Gunn AJ, Levy SM, Scott JA. Factors Influencing Early Feeding of Foods and Drinks Containing Free Sugars—A Birth Cohort Study. International Journal of Environmental Research and Public Health. 2017; 14(10):1270. https://doi.org/10.3390/ijerph14101270
Chicago/Turabian StyleHa, Diep H., Loc G. Do, Andrew John Spencer, William Murray Thomson, Rebecca K. Golley, Andrew J. Rugg-Gunn, Steven M. Levy, and Jane A. Scott. 2017. "Factors Influencing Early Feeding of Foods and Drinks Containing Free Sugars—A Birth Cohort Study" International Journal of Environmental Research and Public Health 14, no. 10: 1270. https://doi.org/10.3390/ijerph14101270
APA StyleHa, D. H., Do, L. G., Spencer, A. J., Thomson, W. M., Golley, R. K., Rugg-Gunn, A. J., Levy, S. M., & Scott, J. A. (2017). Factors Influencing Early Feeding of Foods and Drinks Containing Free Sugars—A Birth Cohort Study. International Journal of Environmental Research and Public Health, 14(10), 1270. https://doi.org/10.3390/ijerph14101270