Journal List > Nutr Res Pract > v.17(2) > 1516082201

Kim and Shin: Feeding characteristics in infancy affect fruit and vegetable consumption and dietary variety in early childhood

Abstract

BACKGROUND/OBJECTIVES

Previous studies have shown an association between breastfeeding and higher fruit and vegetable consumption and the level of dietary variety in children. However, few studies have reported this association on the feeding characteristics. Therefore, this study examined the association of the feeding characteristics with the consumption of fruit and vegetable and dietary variety in children.

SUBJECTS/METHODS

This study recruited 802 participants from their parents with information on their feeding, and 24-h dietary recall. The associations of the feeding characteristics with fruit and vegetable consumption and dietary variety score (DVS) were analyzed using a multiple logistic regression model.

RESULTS

Compared to the feeding type of exclusive breastfed children, exclusive formula-fed children had a significant association with a lower DVS (odds ratio [OR], 0.42, 95% confidence interval [CI], 0.23–0.77). Fruit and vegetable consumption was classified into 6 groups: non-salted vegetables (NSV), salted vegetables (SV), fruit (F), total vegetables (TV), non-salted vegetables + fruit (NSVF), and total vegetables + fruit (TVF). According to the mean level of fruit and vegetable consumption, compared to the duration of total breastfeeding for 6 month or less, a greater duration of breastfeeding for 12 mon had a significant association with a higher intake of NSVF and TVF (OR, 1.85, 95% CI, 1.20–2.85 and OR, 1.89, 95% CI, 1.22–2.92). On the other hand, the early introduction of formula feeding for 4 mon had a significant association with a lower intake of F and NSVF (OR, 0.59, 95% CI, 0.38–0.91 and OR, 0.63, 95% CI, 0.40–0.99).

CONCLUSIONS

These results confirm that breastfeeding is associated with higher fruit and vegetable consumption and dietary variety, whereas formula feeding is associated with lower fruit and vegetable consumption and dietary variety. Therefore, the feeding characteristics in infants may affect fruit and vegetable consumption and dietary variety in children.

INTRODUCTION

Increasing studies have revealed a strong association between a varied diet rich in fruit and vegetables with the healthy development of children [123456]. In contrast, unhealthy eating habits are typically related to finicky eating habits with low vegetable consumption and less variety in the diet [789].
The feeding characteristics during infancy affect the formation of eating habits in later childhood and act as an important basis for eating habits during adolescence. Children aged 4 to 7 yrs with a total breastfeeding duration of 12 mon or more consumed vegetables 5–6 times per week [10]. In addition, evidence suggests that infants breastfed for 4–6 mon tend to consume more fruit and vegetables in the first 2 yrs of life and eat a wider variety when they are aged 6–8 yrs [111213]. On the other hand, these studies showed that early introduction to complementary foods before 4 mon was associated with finicky eating habits involving food neophobia and a limited variety of foods [914]. This correlates with dietary diversity because children with fussy eating habits tend to be reluctant to eat, and the intake of other food groups, such as macronutrients, is low [7]. Some studies have estimated that the greater variety of flavors in breastfeeding helps improve the child’s willingness to try new foods during complementary feeding in later life [1011121516]. In contrast, the composition of formula feeding with an unchanging flavor profile is related to the decreased acceptance of flavor and food variety [2].
Although several studies have reported the value of fruit and vegetable consumption and dietary variety in the feeding factors for children, there is little evidence of an association with the feeding characteristics, such as breastfeeding and formula feeding practices and duration, and the timing of introducing breastfeeding and formula feeding. Therefore, this study examined the association of the feeding characteristics and 3 important dietary factors with the consumption of fruits and vegetables and dietary variety and assessed the healthy eating habits of children.

SUBJECTS AND METHODS

Study subjects & data collection

The study subjects participated in surveys in the Korea National Health and Nutrition Examination Survey from 2013 to 2017 with 914 subjects. Those with a birth weight < 2.5 kg (60 subjects) and with missing data on the feeding questionnaire (6 subjects), total energy intake (2 subjects), and weight values (44 subjects) were excluded [217]. Eight hundred and two participants aged 2 to 3 yrs were included in the study. A questionnaire was used to collect information from their parents, such as the demographic characteristics, including age, gender, birth weight, household income, and childcare characteristics. The anthropometry assessments obtained were height, weight, body mass index (BMI), and other parameters. The dietary assessments were conducted using the 24-h recall with food consumption and portion size on the day before the survey by their parents. The nutrient intake was calculated from the daily consumption. The Institutional Review Board (IRB) of the Korea Centers for Disease Control and Prevention approved the study (IRB No. 2013-07CON-03-4C in 2013–2015; 2013-12EXP-03-5C in 2013–2015; 2018-01-03-P-A in 2013–2018), and all participants provided written informed consent.

Definition of feeding group

The feeding questionnaire contained 10 items reported by the parents. These items classified the feeding characteristics as breast and formula feeding, which included respondents (yes or no), duration (in months), and age of the first introduction (in months).
The feeding type was divided into 3 categories: ‘Exclusive breastfeeding,’ ‘Partial breast and formula feeding,’ and ‘Formula feeding,’ respectively. ‘Exclusive breastfeeding’ was defined by the respondents who reported the following: ‘never had formula feeding’ and ‘had breastfeeding.’ ‘Partial breast and formula feeding’ was defined by the respondents who reported the following: ‘had breastfeeding’ and ‘had formula feeding.’ ‘Formula feeding’ was defined by the respondents who reported the following: ‘never had breastfeeding’ and ‘had formula feeding.’
The total breast or formula feeding duration was calculated from the sum of the feeding duration from the following: ‘had breastfeeding’ or ‘had formula feeding’ [18].
The World Health Organization (WHO) recommends the duration of exclusive breastfeeding as no food or drink except for breastfeeding for the first 6 mon of life [1119]. Therefore, the definition of the duration of total feeding was classed into three categories using a reference: ‘less than 6 mon,’ ‘7–11 mon,’ and ‘more than 12 mon’ [17].
The duration of exclusive feeding was classed into 2 categories of ‘less than 12 mon’ and ‘more than 12 mon,’ and the age at started formula feeding was classed into 2 categories of ‘after 4 mon’ and ‘early 4 mon’ based on the literature [19202122].

Definition of the fruit and vegetable groups and dietary diversity

The fruit and vegetable groups were composed of food items composed through 24-h recall data. To measure the consumption of fruits and vegetables, the groups were classified into 6 categories: ‘non-salted vegetables (NSV),’ ‘salted vegetables (SV),’ ‘fruits (F),’ ‘total vegetables (TV),’ ‘non-salted vegetables + fruits (NSVF),’ and ‘total vegetables + fruits (TVF)’ [23].
The ‘NSV’ group was defined as fresh, canned vegetables and juices consumed during the day, excluding kimchi and pickled vegetables [8]; the ‘SV’ group was defined as kimchi and pickled vegetables. The ‘F’ group was defined as fresh, canned, dried fruit, and juices consumed during the day [8]. The ‘TV’ group was a summation of the consumption of the vegetables, kimchi, and pickled vegetables group, and the ‘TVF’ group was a summation of the consumption of the total vegetables (TV) and fruit (F) group. The ‘NSVF’ group was a summation of the consumption by the non-salted vegetables and fruit group. The food groups were reported as g per day (g/day).
The overall dietary diversity was assessed by calculating the dietary variety score (DVS). The DVS was calculated from the food items composed through 24-h recall data, which was defined by counting the individual number of food items consumed during the day regardless of quantity. On the other hand, the 3 food items, such as drinks, powdered, and dried food items (30 g or less for drinks, 1 g or less for powdered and dried food items), were excluded from the DVS. When subjects consumed another food item, the DVS was increased by one score [2425].
The level of fruit and vegetable consumption and DVS was dichotomized as ‘Low’ and ‘High’ groups using the mean value: ‘TV group (< 78 g/day, ≥ 78 g/day),’ ‘NSV group (< 62 g/day, ≥ 62 g/day),’ ‘F group (< 175 g/day, ≥ 175 g/day),’ ‘NSVF group (< 237 g/day, ≥ 237 g/day),’ ‘TVF group (< 253 g/day, ≥ 253 g/day),’ and ‘DVS group (< 55 g/day, ≥ 55 g/day).’

Statistical analysis

All statistical analyses were conducted using PROC SURVEY in SAS software (version 9.4; SAS Institute, Cary, NC, USA) for the complex sampling design of multistage, stratified, clustered samples, and appropriate sampling weights for the national survey [262728]. The subjects for the feeding factors were estimated by descriptive statistics (mean or proportions) to analyze the differences between the children’s gender (boy/girls) and feeding factors. A χ2 test was used to compare the proportions of categorical variables between the feeding types. The mean of the continuous variables between feeding types was estimated using a generalized linear regression model followed by a Scheffe’s multiple comparison test.
The odds ratio (OR) and 95% confidence interval (CI) were estimated using multivariable logistic regression to determine the association of the feeding characteristics with the consumption of fruit and vegetables and the DVS. Multivariable logistic regression analysis was performed after adjusting for the children’s variables. P-values < 0.05 were considered significant. Most values were truncated to one decimal place without rounding.

RESULTS

General characteristics according to feeding types

Table 1 lists the participants’ feeding types as the mean or numbers and percentages, stratified into exclusive breastfeeding, partial breast and formula feeding, and exclusive formula feeding. A borderline significant difference in the general variables was observed among the participants according to the feeding type. Participants with exclusive formula feeding were more likely to report a higher BMI than the other groups. Regarding the type of care, participants with partial breast and formula feeding were more likely to report a higher rate for the care center than the other groups.
Table 1

General characteristics according to the feeding types

nrp-17-307-i001
Variables Total (n = 802) Exclusive breastfeeding (n = 211) Breast and formula feeding (n = 515) Exclusive formula feeding (n = 76) P-value1)
Gender 0.10
Boys 427 (53.5) 99 (46.8) 289 (56.2) 39 (53.3)
Girls 375 (46.5) 112 (53.2) 226 (43.8) 37 (46.7)
Age, mon 35.8 ± 0.3 36.6 ± 0.5 35.6 ± 0.3 35.3 ± 0.9 0.27
Birth weight (kg) 3.3 ± 0.0 3.3 ± 0.0 3.3 ± 0.0 3.2 ± 0.1 0.28
Body mass index (kg/m2) 15.9 ± 0.1 15.8 ± 0.1 15.8 ± 0.1 16.2 ± 0.2 0.09
Height (cm) 95.0 ± 0.2 95.0 ± 0.5 95.0 ± 0.3 94.9 ± 0.7 0.99
Type of care 0.08
Childcare center 686 (85.5) 172 (81.0) 452 (87.9) 62 (81.6)
Home 109 (14.5) 39 (19.0) 57 (12.1) 13 (18.4)
Monthly household income (104 Won) 0.10
< 300 234 (30.1) 62 (28.8) 138 (28.4) 34 (46.5)
300–399 163 (20.2) 48 (23.9) 104 (19.2) 11 (16.4)
400–499 124 (15.7) 28 (13.7) 86 (17.0) 10 (11.9)
≥ 500 276 (34.0) 73 (33.6) 184 (35.4) 19 (25.2)
Total energy (kcal/day) 1,236.0 ± 16.0 1,262.2 ± 34.6 1,224.6 ± 19.3 1,243.9 ± 59.1 0.63
Data of this table indicate the mean ± SE or the number of subjects and its percentage (%).
1)Generalized linear regression and χ2 test were used to assess the significance of the difference in the subject distribution in continuous and categorical variables.
Supplementary Table 1 lists the participants’ feeding factors as the mean or number and percentage according to gender (boy/girls). In terms of the feeding type, participants with formula feeding were more likely to be boys. No significant difference was observed in the other variables.

Dietary variety and fruit and vegetable intake according to feeding types

Regarding the DVS and the fruit and vegetable intake (Table 2), exclusive formula-fed infants tended to have a lower DVS than exclusively breastfed infants. Participants with exclusive breastfeeding were more likely to report TV consumption than the partial breast and formula feeding groups. In addition, participants with exclusive breastfeeding were more likely to report a higher NSV than the partial breast and formula feeding groups. No significant difference was observed in the other variables.
Table 2

Dietary variety and fruit and vegetable intake according to the feeding types

nrp-17-307-i002
Variables Total (n = 802) Exclusive breastfeeding (n = 211) Breast and formula feeding (n = 515) Exclusive formula feeding (n = 76) P-value
DVS 55.7 ± 1.0 58.4 ± 2.0a 55.6 ± 1.2ab 49.3 ± 2.8b 0.03
TV (g/day) 78.3 ± 2.7 94.6 ± 6.3a 73.0 ± 2.8b 70.1 ± 8.9ab 0.004
NSV (g/day) 62.2 ± 2.4 75.4 ± 5.6a 58.1 ± 2.6b 54.3 ± 7.8ab 0.01
SV (g/day) 16.1 ± 1.1 19.2 ± 2.6 14.9 ± 1.1 15.8 ± 2.9 0.29
F (g/day) 175.3 ± 9.1 177.4 ± 12.5 167.9 ± 10.3 225.0 ± 54.8 0.52
NSVF (g/day) 237.5 ± 9.5 252.8 ± 14.0 226.0 ± 11.0 279.2 ± 53.4 0.22
TVF (g/day) 253.6 ± 9.5 272.0 ± 13.9 240.8 ± 11.0 295.0 ± 53.4 0.15
Data from this table indicate the mean ± SE.
DVS, dietary variety score; TV, total vegetables; NSV, non-salted vegetables; SV, salted vegetables; F, fruit; NSVF, non-salted vegetables + fruit; TVF, total vegetables + fruit.
a,bThe significant differences were assessed by generalized linear regression, followed by a Scheffe's multiple comparison test.

Association of the feeding characteristics with fruit and vegetable consumption and dietary variety

The association of the feeding characteristics with the fruit and vegetable consumption for the TV, NSV, F, NSVF, and TVF groups and the DVS was analyzed using logistic regression. The low/high scores of the mean level of fruit and vegetable consumption were measured by categorizing the subjects into 2 scores: low (< mean) and high (≥ mean) (Table 3). Compared to the feeding type of exclusive breastfed children, exclusive formula-fed children had a significant association with a lower DVS (OR, 0.42, 95% CI, 0.23–0.77). In addition, compared to the duration of total breastfeeding for 6 mon or less, the greater duration of breastfeeding for 12 mon had a significant association with a higher intake of NSVF and TVF (OR, 1.85, 95% CI, 1.20–2.85 and OR, 1.89, 95% CI, 1.22–2.92). A borderline significance in fruit consumption was observed compared to the total breastfeeding duration of 6 mon or fewer. A greater duration of breastfeeding for 12 mon had an association with a higher intake of fruit (OR, 1.52, 95% CI, 1.02–2.27). On the other hand, the early introduction of formula feeding for 4 mon had a significant association with a lower intake of F and NSVF (OR, 0.59, 95% CI, 0.38–0.91 and OR, 0.63, 95% CI, 0.40–0.99).
Table 3

Association of the feeding characteristics with fruit and vegetable consumption and dietary variety

nrp-17-307-i003
Variables OR (95% CI)1)
High TV consumption (≥ 78 g/day) High NSV consumption (≥ 62 g/day) High fruits consumption (≥ 175 g/day) High NSVF consumption (≥ 237 g/day) High TVF consumption (≥ 253 g/day) High DVS (≥ 55 points)
Feeding type
Exclusive breastfeeding 1 (ref.) 1 (ref.) 1 (ref.) 1 (ref.) 1 (ref.) 1 (ref.)
Breast and formula feeding 0.69 (0.47–1.01) 0.69 (0.47–1.01) 0.80 (0.56–1.13) 0.70 (0.49–1.02) 0.60 (0.42–0.88) 0.72 (0.50–1.05)
Exclusive formula feeding 0.62 (0.32–1.20) 0.60 (0.32–1.16) 1.11 (0.56–2.17) 1.01 (0.51–2.03) 0.94 (0.47–1.89) 0.42 (0.23–0.77)
Duration of total breastfeeding (mon)
0–6 1 (ref.) 1 (ref.) 1 (ref.) 1 (ref.) 1 (ref.) 1 (ref.)
7–11 0.94 (0.58–1.50) 1.15 (0.71–1.86) 1.26 (0.81–1.97) 1.46 (0.93–2.29) 1.29 (0.81–2.06) 0.90 (0.58–1.38)
> 12 1.14 (0.77–1.71) 1.19 (0.77–1.84) 1.52 (1.02–2.27) 1.85 (1.20–2.85) 1.89 (1.22–2.92) 1.40 (0.94–2.09)
Duration of total formula feeding (mon)
0–6 1 (ref.) 1 (ref.) 1 (ref.) 1 (ref.) 1 (ref.) 1 (ref.)
7–11 0.72 (0.35–1.45) 0.68 (0.33–1.40) 0.78 (0.40–1.52) 1.02 (0.53–1.98) 1.13 (0.58–2.21) 0.68 (0.34–1.35)
> 12 0.65 (0.39–1.08) 0.65 (0.38–1.11) 0.97 (0.56–1.66) 1.06 (0.60–1.88) 1.14 (0.64–2.03) 0.67 (0.39–1.14)
Duration of exclusive breastfeeding (mon)
≤ 12 1 (ref.) 1 (ref.) 1 (ref.) 1 (ref.) 1 (ref.) 1 (ref.)
> 13 1.49 (0.72–3.11) 1.48 (0.69–3.19) 0.80 (0.42–1.55) 0.58 (0.31–1.11) 0.74 (0.36–1.51) 0.85 (0.42–1.71)
Age at starting formula feeding (mon)
> 4 1 (ref.) 1 (ref.) 1 (ref.) 1 (ref.) 1 (ref.) 1 (ref.)
≤ 4 0.64 (0.38–1.07) 0.64 (0.38–1.10) 0.59 (0.38–0.91) 0.63 (0.40–0.99) 0.71 (0.44–1.12) 0.97 (0.60–1.58)
OR, odds ratio; CI, confidence interval; DVS, dietary variety score; TV, total vegetables; NSV, non-salted vegetables; NSVF, non-salted vegetables + fruit; TVF, total vegetables + fruit.
1)Adjusted for age, gender, birth weight, household income, education level, total energy.

DISCUSSION

Breastfeeding is associated with higher fruit and vegetable consumption and dietary variety, whereas formula feeding is associated with lower fruit and vegetable consumption and dietary variety. Accordingly, it will be possible to suggest important factors for healthy infant feeding characteristics in early infancy and healthy eating habits in childhood.
Previous studies suggested the major predictors of children’s healthy eating habits, including adequate dietary quality, i.e., a variety of food groups. This suggests that healthy dietary factors, such as high levels of fruit and vegetable consumption, are associated with a greater variety of diets. In contrast, the lower fruit and vegetable consumption in unhealthy eating habits is associated with a less varied diet [9182930]. According to previous studies, the following 5 food categories were evaluated to assess the association between breastfeeding and dietary diversity: vegetables, fruit, meat and fish, grains and starches, and sweets. A longer duration of breastfeeding was associated with increased dietary variety for vegetables and decreased dietary variety for sweets [2]. On the other hand, longitudinal studies have reported that formula feeding in 14-month-old Australian children was inversely associated with the variety of fruit and vegetables, causing food neophobia because of the reducing acceptance of new foods at 24 mon [30].
Breastfeeding is an interaction that forms a strong link between the mother and infant in the extra-uterine environment, which is similar to the placental link between the mother and fetus before birth [3132]. According to the WHO, exclusive breastfeeding is recommended for 6 mon, and the introduction of complementary foods should be delayed until 6 mon of age [720]. Nevertheless, it is unclear if the early introduction of complementary foods has a positive influence. This is because the developmental readiness of an infant is influenced by the time when complementary foods are introduced [33]. Some studies explained that food acceptance might be influenced by prenatal and postnatal exposures to flavors through the amniotic fluid and breast milk. On the other hand, the formula product has a constant, unchanging flavor profile [21534]. This might be explained by children who breastfeed for longer being exposed to a greater variety of flavors early in life through breastfeeding [35]. Nevertheless, there is little data on the rates of breastfeeding, formula feeding, and the timing of introducing solids to infants.
In summary, this study examined the association between fruit and vegetable consumption and evaluated the dietary variety according to the feeding characteristics of children. On the other hand, this study had several limitations. The generalizability of these associations cannot be inferred owing to the cross-sectional data analysis. In addition, individuals who consume grams per day also consume a weekly frequency of fruit and vegetables. Furthermore, there were no maternal factors according to the feeding characteristics in this study. In interpreting the findings from studies of feeding characteristics and children’s eating habits, maternal dietary choices cannot fully explain the association. Nevertheless, this study analyzed the actual feeding durations through research using data from a large sample in Korea. Hence, the early feeding characteristics play an important role in selecting healthy eating habits for children, such as fruit and vegetable consumption and dietary variety. Moreover, the first few years of life are a critical period for the development of food-acceptance patterns and should be considered when developing nutrition education programs to lead children to develop healthy eating habits of eating a variety of foods.

Notes

Conflict of Interest: The authors declare no potential conflicts of interests.

Author Contributions:

  • Conceptualization: Shin MK.

  • Formal analysis: Shin MK.

  • Investigation: Shin MK.

  • Methodology: Shin MK.

  • Supervision: Shin MK.

  • Validation: Kim KK.

  • Writing - original draft: Shin MK.

  • Writing - review & editing: Shin MK, Kim KK.

References

1. Skinner JD, Carruth BR, Wendy B, Ziegler PJ. Children’s food preferences: a longitudinal analysis. J Am Diet Assoc. 2002; 102:1638–1647. PMID: 12449287.
2. Husk JS, Keim SA. Breastfeeding and dietary variety among preterm children aged 1-3 years. Appetite. 2016; 99:130–137. PMID: 26792771.
3. Han YJ, Lee JY. Effect of breast-feeding on the eating habits in late childhood of Korean pediatric and adolescent outpatients. J Korean Acad Breastfeed Med. 2016; 2:49–57.
4. Yoon HJ, Kim MH, Jang KH, Lee JH. Comparison of obesity level and eating habits according to intake experience of mother's milk and eating habits of baby foods by elementary school students. J Korean Soc Food Cult. 2014; 25:380–389.
5. Grimm KA, Kim SA, Yaroch AL, Scanlon KS. Fruit and vegetable intake during infancy and early childhood. Pediatrics. 2014; 134(Suppl 1):S63–S69. PMID: 25183758.
6. Scott JA, Chih TY, Oddy WH. Food variety at 2 years of age is related to duration of breastfeeding. Nutrients. 2012; 4:1464–1474. PMID: 23201765.
7. Oliveira A, Jones L, de Lauzon-Guillain B, Emmett P, Moreira P, Charles MA, Lopes C. Early problematic eating behaviours are associated with lower fruit and vegetable intake and less dietary variety at 4-5 years of age. A prospective analysis of three European birth cohorts. Br J Nutr. 2015; 114:763–771. PMID: 26195187.
8. Specht IO, Rohde JF, Olsen NJ, Heitmann BL. Duration of exclusive breastfeeding may be related to eating behaviour and dietary intake in obesity prone normal weight young children. PLoS One. 2018; 13:e0200388. PMID: 29995949.
9. Shim JE, Paik HY. Association between picky eating behaviors and growth in preschool children. J Nutr Health. 2013; 46:418–426.
10. Soldateli B, Vigo A, Giugliani ER. Effect of pattern and duration of breastfeeding on the consumption of fruits and vegetables among preschool children. PLoS One. 2016; 11:e0148357. PMID: 26844543.
11. Jones L, Moschonis G, Oliveira A, de Lauzon-Guillain B, Manios Y, Xepapadaki P, Lopes C, Moreira P, Charles MA, Emmett P. The influence of early feeding practices on healthy diet variety score among pre-school children in four European birth cohorts. Public Health Nutr. 2015; 18:1774–1784. PMID: 25409628.
12. Mennella JA, Lukasewycz LD, Castor SM, Beauchamp GK. The timing and duration of a sensitive period in human flavor learning: a randomized trial. Am J Clin Nutr. 2011; 93:1019–1024. PMID: 21310829.
13. Cooke LJ, Wardle J, Gibson EL, Sapochnik M, Sheiham A, Lawson M. Demographic, familial and trait predictors of fruit and vegetable consumption by pre-school children. Public Health Nutr. 2004; 7:295–302. PMID: 15003137.
14. Fortunato JE, Scheimann AO. Protein-energy malnutrition and feeding refusal secondary to food allergies. Clin Pediatr (Phila). 2008; 47:496–499. PMID: 18509149.
15. Mennella JA, Jagnow CP, Beauchamp GK. Prenatal and postnatal flavor learning by human infants. Pediatrics. 2001; 107:E88. PMID: 11389286.
16. Beauchamp GK, Mennella JA. Flavor perception in human infants: development and functional significance. Digestion. 2011; 83(Suppl 1):1–6.
17. Yon MY, Lee JY, Nam JW, Moon GI, Hong JH, Kim CI. Breast-feeding and obesity in early childhood - based on the KNHANES 2008 through 2011. Korean J Community Nutr. 2013; 18:644–651.
18. Bell LK, Jansen E, Mallan K, Magarey AM, Daniels L. Poor dietary patterns at 1-5 years of age are related to food neophobia and breastfeeding duration but not age of introduction to solids in a relatively advantaged sample. Eat Behav. 2018; 31:28–34. PMID: 30086453.
19. Bell S, Yew SS, Devenish G, Ha D, Do L, Scott J. Duration of breastfeeding, but not timing of solid food, reduces the risk of overweight and obesity in children aged 24 to 36 months: findings from an Australian cohort study. Int J Environ Res Public Health. 2018; 15:599. PMID: 29587447.
20. Mannan H. Early infant feeding of formula or solid foods and risk of childhood overweight or obesity in a socioeconomically disadvantaged region of Australia: a longitudinal cohort analysis. Int J Environ Res Public Health. 2018; 15:1685. PMID: 30087304.
21. Moschonis G, de Lauzon-Guillain B, Jones L, Oliveira A, Lambrinou CP, Damianidi L, Lioret S, Moreira P, Lopes C, Emmett P, et al. The effect of early feeding practices on growth indices and obesity at preschool children from four European countries and UK schoolchildren and adolescents. Eur J Pediatr. 2017; 176:1181–1192. PMID: 28711955.
22. Pearce J, Taylor MA, Langley-Evans SC. Timing of the introduction of complementary feeding and risk of childhood obesity: a systematic review. Int J Obes. 2013; 37:1295–1306.
23. Lee E, Choi HY, Heo YR. Intake of fruits and vegetables may modify the risk of cataract in Korean males. J Nutr Health. 2018; 51:423–432.
24. Kang MH, Kim HY, Kwon SH, Choi YS, Chung HR, Kwak TK, Cho YH. Selecting items of a food behavior checklist for the development of Nutrition Quotient (NQ) for children. Korean J Nutr. 2012; 45:372–389.
25. Schebendach JE, Mayer LE, Devlin MJ, Attia E, Contento IR, Wolf RL, Walsh BT. Dietary energy density and diet variety as predictors of outcome in anorexia nervosa. Am J Clin Nutr. 2008; 87:810–816. PMID: 18400701.
26. Lee M, Chae SW, Cha YS, Cho MS, Oh HY, Kim MK. Development of a Korean Diet Score (KDS) and its application assessing adherence to Korean healthy diet based on the Korean Food Guide Wheels. Nutr Res Pract. 2013; 7:49–58. PMID: 23424060.
27. Kim DY, Ahn A, Lee H, Choi J, Lim H. Dietary patterns independent of fast food are associated with obesity among Korean adults: Korea National Health and Nutrition Examination Survey 2010-2014. Nutrients. 2019; 11:2740. PMID: 31726687.
28. Lee JY, Lee S. Dietary patterns related to appendicular skeletal muscle mass: the Korea National Health and Nutrition Examination Survey 2008-2011. J Am Coll Nutr. 2019; 38:358–363. PMID: 30570371.
29. Barros L, Lopes C, Oliveira A. Child and family characteristics are associated with a dietary variety index in 4-year-old children from the Generation XXI cohort. Nutr Res. 2019; 63:76–85. PMID: 30824400.
30. Byrne R, Yeo ME, Mallan K, Magarey A, Daniels L. Is higher formula intake and limited dietary diversity in Australian children at 14 months of age associated with dietary quality at 24 months? Appetite. 2018; 120:240–245. PMID: 28899651.
31. Novaes JF, Lamounier JA, Colosimo EA, Franceschini SC, Priore SE. Breastfeeding and obesity in Brazilian children. Eur J Public Health. 2012; 22:383–389. PMID: 21616992.
32. Parsons TJ, Power C, Manor O. Infant feeding and obesity through the lifecourse. Arch Dis Child. 2003; 88:793–794. PMID: 12937101.
33. Savage JS, Fisher JO, Birch LL. Parental influence on eating behavior: conception to adolescence. J Law Med Ethics. 2007; 35:22–34. PMID: 17341215.
34. Forestell CA, Mennella JA. Early determinants of fruit and vegetable acceptance. Pediatrics. 2007; 120:1247–1254. PMID: 18055673.
35. Dubois L, Farmer AP, Girard M, Peterson K. Preschool children’s eating behaviours are related to dietary adequacy and body weight. Eur J Clin Nutr. 2007; 61:846–855. PMID: 17180152.

SUPPLEMENTARY MATERIAL

Supplementary Table 1

Characteristics of the feeding factors
nrp-17-307-s001.xls
TOOLS
Similar articles