Australian Toddlers Research Articles

Does Food Intake of Australian Toddlers 12-24 Months Align with Recommendations: Findings from the Australian Feeding Infants and Toddlers Study (OzFITS) 2021.

(1) Background: Food-based dietary guidelines promote population health and well-being through dietary patterns that reduce chronic disease risk while providing adequate energy and nutrients. In Australia, recommended dietary patterns based on servings per day from the five food groups—fruits, vegetables, cereals and grains, meats and alternatives, and dairy—have been developed for toddlers 1–2 years of age. However, no study has assessed the intake of the five food groups in this age group nationally. (2) Aim: To compare daily servings and the percentage of energy from the five food groups and discretionary foods in toddlers 1–2 years old to the Australian Dietary Guidelines. (3) Methods: Dietary intake was assessed using a one-day food record for 475 toddlers. (4) Results: Apart from fruit and dairy, servings of the five food groups were below the recommendations. Two-thirds of toddlers did not consume enough vegetables, and only 10% consumed the recommended number of servings for cereals and grains. On average, toddlers consumed only half the recommended servings of meat and alternatives. Nearly all toddlers (89%) consumed discretionary foods, which accounted for ~12% of total energy. Forty-five percent of toddlers received breastmilk. On average, breastfed toddlers consumed fewer servings from the five food groups than non-breastfed toddlers. Dairy contributed 20% of daily energy in all toddlers; however, this food group accounted for 13% in breastfed and 32% in non-breastfed toddlers on the day of the food record. (4) Conclusions: Compared to the recommendations, alignment with the servings of the five food group foods was not achieved by most toddlers, except for fruit and dairy. Discretionary foods may have displaced nutritious family foods. Consistent with Australian Infant Feeding Guidelines, many toddlers in this study continued to receive breastmilk but the recommended dietary patterns do not include breastmilk. Dietary modeling, including breastmilk as the primary milk source, is urgently needed, along with practical advice on incorporating breastmilk in a toddler’s diet while optimizing food consumption.

Longitudinal differences in levels and bouts of sedentary time by different day types among Australian toddlers and pre-schoolers

ABSTRACT The aim of the present study was to characterize sedentary time (ST) and sedentary bouts among young children, across a typical week and by day type (childcare days, non-childcare days and weekends), over a 12-month period. ST % (ST/accelerometer wear time*100) and number of sedentary bouts/hours were assessed using accelerometers at two time-points 12-months apart in 153 toddlers and 74 pre-schoolers. Differences between baseline and follow-up according to the whole week and the different day types were calculated using linear mixed models with adjustment for age, sex, socio-economic status and zBMI. During the weekend, toddlers had more 20–30 min/h sedentary bouts at follow-up than at baseline (MD: 0.03). In pre-schoolers, ST % (MD:-8.4), the number of 1–4 min/h (MD:-1.45), 5–9 min/h (MD: −0.46) and 10–19 min/h sedentary bouts (MD:-0.11) were lower at baseline, compared to follow-up, on non-childcare days; as were the number of 5–9 min/h sedentary bouts on weekends (MD:0.40). P < 0.05 for all. This study found that longer sedentary bouts (20–30 min/h) tended to decrease among toddlers and pre-schoolers, whereas ST and shorter sedentary bouts increased over 12-months, particularly among pre-schoolers on non-childcare weekdays. Non-childcare days, and home environment may be targeted for intervention to reduce ST and sedentary bouts among pre-schoolers.

Objectively Measured Sedentary Levels and Bouts by Day Type in Australian Young Children.

This study aimed to understand whether a higher number of sedentary bouts (SED bouts) and higher levels of sedentary time (SED time) occur according to different day types (childcare days, nonchildcare weekdays, and weekends) in Australian toddlers (1-2.99y) and preschoolers (3-5.99y). The SED time and bouts were assessed using ActiGraph GT3X+ accelerometers. The sample was composed of 264 toddlers and 343 preschoolers. The SED bouts and time differences were calculated using linear mixed models. The toddlers' percentage of SED time was higher on nonchildcare days compared with childcare days (mean difference [MD] = 2.3; 95% confidence interval, 0.7 to 3.9). The toddlers had a higher number of 1- to 4-minute SED bouts on nonchildcare days compared with childcare days. The preschoolers presented higher percentages of SED time during nonchildcare days (MD = 3.1; 95% confidence interval, 1.6 to 4.5) and weekends (MD = 1.9; 95% confidence interval, 0.4 to 3.4) compared with childcare days. The preschoolers presented a higher number of SED bouts (1-4, 5-9, 10-19, and 20-30min) during nonchildcare days and weekends compared with childcare days. No SED times or bout differences were found between nonchildcare days and weekends, neither SED bouts >30minutes on toddlers nor on preschoolers. The SED time and bouts seem to be lower during childcare periods, which means that interventions to reduce sedentary time should consider targeting nonchildcare days and weekends.

Sedentary time and blood pressure in Australian toddlers: The get-up study longitudinal results

ABSTRACT Epidemiological data suggests that the genesis of cardiovascular disease occurs during childhood. Sedentary time (ST) is a main driver of high blood pressure (BP) in adolescents and adults. However, associations between ST and cardiovascular health in young children are uncertain. Prospective associations between ST and BP were assessed among 172 toddlers (88 boys), aged 19.5 ± 3.9 months at baseline, recruited from the GET‐UP! Study, Australia and followed over a 12-month period. BP was measured with a digital monitor and z-scores were computed by age and sex for systolic and diastolic BP. Total ST was measured over 7 days using Actigraph accelerometers and expressed over a 24-h period. Multilevel linear regression models were used to assess regression coefficients and standard errors, predicting BP at follow-up from ST at baseline. Analyses controlled for socio-economic status, height, age, gender, group (intervention or control) and zWC at baseline. Adjusted analyses showed that total ST did not predict systolic or diastolic BP (β = 0.0009, p = 0.368 and β = 0.002, p = 0.05, respectively). Most likely, longer follow-up periods might be needed to confirm or rule out our results, as the effects of cumulative ST over time on BP values are prone to manifest later in life and track into adolescence and adulthood.

The Get-Up! study: adiposity and blood pressure in Australian toddlers.

Background:Because the elevated blood pressure (BP) in childhood is strongly associated with overweight and is a risk factor for later cardiovascular disease, a need to comprehend the early development of BP and its association with overweight is needed. We assessed differences of BP by weight status in Australian toddlers.Methods:From the Get-Up! Study in Australia, this sample included 265 toddlers (136 boys), aged 19.6 ± 4.2 months. BP was measured with a digital vital signs monitor. Participants were categorized as nonoverweight and overweight according to the World Health Organization definition for body mass index (BMI). Physical activity was captured with activPAL accelerometers, during childcare hours. To test differences in BP between nonoverweight and overweight children, we performed an analysis of covariance adjusting for sex, age, physical activity, and socioeconomic status.Results:Children with overweight showed higher z systolic BP values (P = .042 for BMI and P = .023 for waist circumference) when compared to nonoverweight children. However, no differences were found for z diastolic BP levels, between overweight and nonoverweight children. After adjustments for potential confounders (socioeconomic status, physical activity, sex, and age), there were no significant differences in BP variables between BMI and waist circumference groups.Conclusions:No associations between adiposity and BP levels were found in this sample. The unadjusted results, however, showed that children with higher levels of adiposity (BMI and waist circumference) exhibited higher levels of BP. Additional research is needed to determine which environmental and genetic factors might contribute to pediatric hypertension, particularly among toddlers.

Sources and Determinants of Discretionary Food Intake in a Cohort of Australian Children Aged 12-14 Months.

Despite recommendations to the contrary, consumption of discretionary (energy-dense, nutrient-poor) foods begins for some children early in the weaning period, and the proportion of children consuming discretionary foods increases markedly in the second year of life. The purpose of this study was to determine intake and sources of discretionary foods in a cohort of 828 Australian toddlers (mean age: 13.1mo), and to identify determinants of discretionary food intake. At approximately 12 months of age, 3 non-consecutive days of dietary intake data were collected using a 24-h recall and 2-day food record, and the percentage total energy derived from discretionary foods was estimated. Linear regression was used to identify associations between discretionary food intake and socio-demographic determinants (mother’s age, level of education, country of birth, pre-pregnancy body mass index, socioeconomic position, parity, age of child when mother returned to work, and child’s sex) and age at which complementary foods were introduced. The average energy intake of children in this cohort was 4040 (±954.7 SD) kJ with discretionary foods contributing an average of 11.2% of total energy. Sweet biscuits, and cakes, muffins, scones and cake-type desserts contributed 10.8% and 10.2% of energy intake from discretionary foods, respectively. Other key contributors to energy intake from discretionary foods included sausages, frankfurters and saveloys (8.3%), vegetable products and dishes where frying was the main cooking technique (8.6%), butter (7.3%), and finally manufactured infant sweet or savory snack foods (9.3%). Higher intakes of discretionary food were associated with children having two or more siblings (p = 0.002), and being born to younger mothers (<25 years) (p = 0.008) and mothers born in Australia or the United Kingdom (p < 0.001). Parents, in particular young mothers and those with larger families, need practical guidance on how much of, and how often, these foods should be eaten by their children.

Dietary Patterns and Risk of Obesity and Early Childhood Caries in Australian Toddlers: Findings from an Australian Cohort Study.

We examined associations between dietary patterns at 12 months, characterised using multiple methodologies, and risk of obesity and early childhood caries (ECC) at 24–36 months. Participants were Australian toddlers (n = 1170) from the Study of Mothers’ and Infants’ Life Events affecting oral health (SMILE) birth cohort. Principal Components Analysis (PCA) and the Dietary Guideline Index for Children and Adolescents (DGI-CA) were applied to dietary intake data (1, 2 or 3-days) at 12 months, and regression analysis used to examine associations of dietary patterns with body mass index Z-score and presence of ECC at 24–36 months. Two dietary patterns were extracted using PCA: family diet and cow’s milk and discretionary combination. The mean DGI-CA score was 56 ± 13 (out of a possible 100). No statistically significant or clinically meaningful associations were found between dietary pattern or DGI-CA scores, and BMI Z-scores or ECC (n = 680). Higher cow’s milk and discretionary combination pattern scores were associated with higher energy and free sugars intakes, and higher family diet pattern scores and DGI-CA scores with lower free sugars intakes. The association between dietary patterns and intermediate outcomes of free sugars and energy intakes suggests that obesity and/or ECC may not yet have manifested, and thus longitudinal investigation beyond two years of age is warranted.

Associations between gross motor skills and cognitive development in toddlers

BackgroundThe early years of life are critical for motor and cognitive development. A better understanding is needed on the associations between the control and development of motor and cognitive tasks. AimThis study aimed to examine the association between gross motor skills and cognitive development in toddlers. Study designCross-sectional study. SubjectsThis study included 335 toddlers (aged 19.80 ± 4.08 months, 53.7% boys) from 30 childcare services in Australia. Outcome measuresChildren were assessed on gross motor skills (Peabody Developmental Motor Scales 2nd Edition; PDMS-2) and cognitive development (Bayley Scales of Infant and Toddler development 3rd edition; Bayley-III). Data analysisA one-way ANCOVA was conducted to assess associations between gross motor skills and cognitive development controlling for childcare center, sex, age, body mass index and socioeconomic status. ResultsThe average scores were 96.41 ± 9.84 for gross motor skills (range gross motor quotient 35–165) and 11.45 ± 3.03 for cognitive development (range standard score 1–19). There was a significant positive association between gross motor skills and cognition, F(2,260) = 12.245, p < 0.001. Both locomotion and object manipulation were significantly positively associated with cognition, F(2,266) = 14.607, p < 0.001 and F(2,265) = 9.039, p < 0.001 respectively. ConclusionsLevels of gross motor skills are positively associated with cognitive development in this sample of Australian toddlers. Results reinforce the need for early commencement of gross motor skill promotion as this might be important for cognitive development in the early years.

Gendered Differences in Australian Toddlers’ Clothing

Gendered Differences in Australian Toddlers’ Clothing

Determinants and Sources of Iron Intakes of Australian Toddlers: Findings from the SMILE Cohort Study.

The first two years of life is a period of rapid growth and development. During this time a lack of key nutrients, including iron, can have long-lasting effects on motor and cognitive performance. The purpose of this cross-sectional study was to determine intake and sources of iron in a cohort of 828 toddlers (mean age; 13.1 mo) participating in the Adelaide-based Study of Mothers’ and Infants’ Life Events affecting oral health (SMILE), and to identify determinants of iron intake. At approximately 12 months of age, 3 non-consecutive days of dietary intake data were collected using a 24-h recall and 2-days food record. The Multiple Source Method was used to combine data from the 24-h recall and each day of the food record to estimate usual iron intake and descriptive statistics were used to report sources of iron. Linear regression was used to identify associations between iron intake and non-dietary determinants (maternal age, education, country of birth, BMI, socioeconomic position, parity, toddler sex) and primary milk feeding method at 12 months. The mean intake of iron was 7.0 (95% CI 6.7–7.2) mg/day and 18.2% of children had usual intakes below the estimated average requirement of 4 mg/day. The main sources of iron included infant and toddler cereals and formulas. Milk feeding method and parity were significantly associated with iron intake. Toddlers with siblings and those who received breast milk as their primary milk feed had significantly lower iron intakes than only children and those who received formula, respectively. The Australian Infant Feeding Guidelines promote the importance of iron-iron-rich complementary foods such as meat and meat alternatives. However, low intakes of this food group suggest that parents do not recognize the importance of these foods or understand the specific foods that toddlers should be eating.

Association between breaks in sitting time and adiposity in Australian toddlers: Results from the GET‐UP! study

In youth, research on the health benefits of breaking up sitting time is inconsistent. Our aim was to explore the association between the number of breaks in sitting time and adiposity in Australian toddlers. This study comprised 266 toddlers (52% boys), aged 19.6±4.2months from the GET-UP! Study, Australia. Body mass index (BMI) was calculated and z-scores by age and sex were computed for waist circumference (WC). Participants were classified as overweight according to the WHO criteria for BMI. For WC, participants with a z-score≥1SD were considered overweight. Sitting time was assessed with activPALs during childcare hours and participants were classified by tertiles of the number of breaks/h in sitting time: <26 breaks/h; 26-39 breaks/h, and >39 breaks/h. Logistic regression assessed odds ratios for non-overweight (BMI or waist circumference categories) by number of breaks in sitting time/h, controlling for age, sex, and socioeconomic status. The number of breaks in sitting time significantly predicted a lower weight status (non-overweight) according to WC values (P for trend=0.032) after adjustments. Breaking up sitting time was positively associated with toddlers' waist circumference. Future studies are needed to determine whether breaking up sitting time is a protective for cardiometabolic health in toddlers.

Correlates of nocturnal sleep duration, nocturnal sleep variability, and nocturnal sleep problems in toddlers: results from the GET UP! Study

ObjectiveTo explore the correlates of nocturnal sleep duration, nocturnal sleep variability, and nocturnal sleep problems in a sample of Australian toddlers. MethodsParticipants were 173 toddlers (average age 19.7 ± 4.1 months) from the GET UP! Study. Nocturnal sleep duration, nocturnal sleep variability, nap(s) and physical activity were measured using 24-h accelerometry (Actigraph GT3X+) over seven consecutive days. Nocturnal sleep problems were assessed using the Tayside Children's Sleep Questionnaire. Screen time was reported by the parents. Logistic regression models were used to examine the associations between potential correlates (ie, age, sex, socio-economic status, weight status, physical activity, screen time, nap(s), bedtimes, and wake-up times) and nocturnal sleep characteristics. ResultsOlder children were more likely to have greater sleep variability (OR: 1.97; 95% CI: 1.08–3.61). Less physical activity (OR: 2.38; 95% CI: 1.27–4.45), shorter nap(s) (OR: 2.42, 95% CI: 1.29–4.55), and later wake-up times (OR: 4.42; 95% CI: 2.32–8.42) were associated with higher odds of having longer nocturnal sleep duration. Late bedtimes were associated with shorter nocturnal sleep duration (OR: 0.09; 95% CI: 0.04–0.18) and with greater nocturnal sleep variability (OR: 1.97; 95% CI: 1.06–3.68). None of the potential correlates were associated with nocturnal sleep problems. ConclusionThe present study identifies several correlates of nocturnal sleep duration (total physical activity, nap(s), bedtime, and wake-up time) and nocturnal sleep variability (age and bedtime), whereas no correlates were identified for nocturnal sleep problems. The association between late bedtimes and shorter nocturnal sleep duration and greater nocturnal variability suggests that these may be modifiable targets for future sleep interventions in early childhood. Trial registrationAustralian New Zealand Clinical Trials Registry: ACTRN12616000471482, 11/04/2016, retrospectively registered.

Relative Validity of a 24-h Recall in Assessing Intake of Key Nutrients in a Cohort of Australian Toddlers.

There is limited information concerning the dietary intake of toddlers in Australia. Consequently, there is a need for studies investigating toddler intake that use dietary assessment measures that are valid and place a low participant burden on caregivers. The aim of this study was to determine the relative validity of a single 24-h dietary recall (24HR) in measuring the intake of five nutrients in a cohort of Australian toddlers compared to a combined 24HR and 2-day estimated food record (2DFR). A single 24HR and a 2DFR were collected from a cohort of Australian toddlers (n = 699) at approximately 12 months of age as part of the Study of Mothers’ and Infants’ Life Events affecting oral health (SMILE) project. Relative validity of one day of dietary data (24HR) in assessing intake of energy, protein, calcium, iron, and added sugars was tested against three days of dietary data (24HR + 2DFR) using paired t-tests, Bland–Altman analysis, cross-classification, and weighted Kappa statistic. Classification analysis found good agreement between the 24HR and 24HR + 2DFR for all nutrients with the percentage classified in the same tertile at 57.9% and above. The weighted Kappa statistic found acceptable agreement for all nutrients. This study suggests that a 24HR is a valid assessment tool for estimating the relative intake of energy, protein, calcium, iron, and added sugars among Australian toddlers at the individual level.

Associations between gross motor skills and physical activity in Australian toddlers

ObjectivesPhysical activity can be promoted by high levels of gross motor skills. A systematic review found a positive relationship in children (3–18 years) but only few studies examined this in younger children. The aim of this study was to examine the association between gross motor skills and physical activity in children aged 11–29 months. DesignCross-sectional study. MethodsThis study involved 284 children from 30 childcare services in NSW, Australia (Mean age=19.77±4.18months, 53.2% boys). Physical activity was measured using accelerometers (Actigraph GT3X+). Gross motor skills were assessed using the Peabody Developmental Motor Scales Second Edition (PDMS-2). Multilevel linear regression analyses were computed to assess associations between gross motor skills and physical activity, adjusting for sex, age and BMI. ResultsChildren spent 53.08% of their time in physical activity and 10.39% in moderate to vigorous physical activity (MVPA). Boys had higher total physical activity (p<0.01) and MVPA (p<0.01) than girls. The average gross motor skills score was 96.16. Boys scored higher than girls in object manipulation (p<0.001). There was no association between gross motor skills and total physical activity or MVPA. ConclusionsAlthough gross motor skills were not associated with physical activity in this sample, stronger associations are apparent in older children. This study therefore highlights a potential important age to promote gross motor skills.

Development and Relative Validity of a Food Frequency Questionnaire to Assess Intakes of Total and Free Sugars in Australian Toddlers.

Background: Dental research into early childhood caries is hindered by a lack of suitable dietary assessment tools that have been developed and validated for the population and outcomes of interest. The aim of this study was to develop and investigate the relative validity and reproducibility of the Study of Mothers’ and Infants’ Life Events Food Frequency Questionnaire (SMILE-FFQ), to assess the total and free sugars intakes of Australian toddlers. Methods: The SMILE-FFQ was designed to capture the leading dietary contributors to dental caries risk in toddlers aged 18–30 months via a proxy report. Ninety-five parents of Australian toddlers completed the questionnaire online before and after providing three 24-h recalls (24HR), collected on non-consecutive days using the multipass method. Total and free sugars were compared between the two SMILE-FFQ administrations and between each SMILE-FFQ and the 24HR using multiple statistical tests and standardised validity criteria. Correlation (Pearson), mean difference (Wilcoxon rank test) and Bland Altman analyses were conducted to compare absolute values, with cross-classification (Chi-Square and Weighted Kappa) used to compare agreement across tertiles. Results: All reproducibility tests showed good agreement except weighted kappa, which showed acceptable agreement. Relative validity tests revealed a mix of good and acceptable agreement, with total sugars performing better at the individual level than free sugars. Compared to the 24HR, the SMILE-FFQ tended to underestimate absolute values at lower levels and overestimate them at higher levels. Conclusions: The combined findings of the various tests indicate that the SMILE-FFQ performs comparably to the 24HR for assessing both total and free sugars among individuals, is most effective for ranking participants rather than determining absolute intakes, and is therefore suitable for use in observational studies of Australian toddlers.

Compliance with the Australian 24-hour movement guidelines for the early years: associations with weight status

BackgroundFor effective public health and surveillance it is important to document the proportion of young children who meet the new Australian Integrated 24 h Movement Guidelines for the Early Years and how these associate with health outcomes. We aimed to (i) assess compliance with the new Integrated 24 h Movement Guidelines for the Early Years in a sample of Australian toddlers; and (ii) ascertain whether compliance with the guidelines associates with weight status.MethodsThe sample comprised 202 toddlers (104 girls) aged 19.74 ± 4.07 months from the GET UP! Study. Participants wore accelerometers (Actigraph GT3X+) for 24 h over 7 consecutive days to assess physical activity, sedentary time and sleep. Parents reported participants’ screen time. Weight and height were measured and body mass index (BMI) z-scores by age and sex were calculated. Analysis of Covariance (ANCOVA) was performed to test differences in BMI z-scores between participants complying with (i) none or any individual guideline, (ii) any combination of meeting two guidelines, and (iii) those who met all three guidelines, adjusting for child age, gender and socioeconomic status.ResultsOnly 8.9% of the sample met the overall 24 h movement guidelines. Most of the sample met the physical activity (96.5%) and sleep (79.7%) guidelines but only 11.4% met the sedentary behavior guideline. Average BMI Z-scores did not significantly differ between children who complied with none or any individual guideline, any combination of meeting two guidelines, and those who met all three guidelines (p > 0.05). Although the lack of significant differences, participants who accomplished any combination of two guidelines or all three guidelines appear to have had a lower BMI Z-score than those complying with one of the guidelines or none.ConclusionsJust under 9% of our sample met the overall Australian 24 h Movement Guidelines for the Early Years. BMI was not associated with the accomplishment of any of the 24-h Movement Guidelines. Strategies to promote adherence to the 24-h movement guidelines in toddlers, particularly for screen time, are necessary, as promoting health-related behaviors in early childhood has the potential to provide children a strong foundation for lifelong physical and mental health.

Zinc intakes of Australian infants and toddlers: Melbourne infant feeding, activity and nutrition trial (InFANT) program

Zinc intakes of Australian infants and toddlers: Melbourne infant feeding, activity and nutrition trial (InFANT) program

"GET-UP" study rationale and protocol: a cluster randomised controlled trial to evaluate the effects of reduced sitting on toddlers' cognitive development.

BackgroundThe educational and cognitive differences associated with low socioeconomic status begin early in life and tend to persist throughout life. Coupled with the finding that levels of sedentary time are negatively associated with cognitive development, and time spent active tends to be lower in disadvantaged circumstances, this highlights the need for interventions that reduce the amount of time children spend sitting and sedentary during childcare. The proposed study aims to assess the effects of reducing sitting time during Early Childhood Education and Care (ECEC) services on cognitive development in toddlers from low socio-economic families.Methods/DesignWe will implement a 12-months 2-arm parallel group cluster randomised controlled trial (RCT) with Australian toddlers, aged 12 to 26 months at baseline. Educators from the ECEC services allocated to the intervention group will receive professional development on how to reduce sitting time while children attend ECEC. Participants’ cognitive development will be assessed as a primary outcome, at baseline and post-intervention, using the cognitive sub-test from the Bayley Scales of Infant and Toddler Development.DiscussionThis trial has the potential to inform programs and policies designed to optimize developmental and health outcomes in toddlers, specifically in those from disadvantaged backgrounds.Trial registrationAustralian New Zealand Clinical Trials Registry: ACTRN12616000471482, 11/04/2016, retrospectively registered.Electronic supplementary materialThe online version of this article (doi:10.1186/s12887-016-0723-6) contains supplementary material, which is available to authorized users.

Is two too early? Assessing toddlers’ phonology

Early identification of phonological disorders is important for Speech Language Pathologists who assess and treat children aged under three years. Normative data justifies identification and standard scores can evaluate intervention that might prevent the negative consequences associated with phonological disorder. Two studies evaluated the reliability and predictive validity of the Toddler Phonology Test (TPT). Study 1 assessed 18 Australian toddlers, comparing their performance with normative data and reassessing them one month later to examine test–retest reliability. Study 2 assessed the predictive validity of the TPT’s quantitative and qualitative normative data by reassessing 24 British children between four and nine months after their first assessment and examining number and type of errors. Study 1 found no significant difference between the first and second assessment one month later for percent consonants and vowels correct but a drop in the number of atypical errors. Positive correlations for all performance measures showed strong test–retest ranking for children. Study 2 indicated that both quantitative and qualitative TPT data predicted phonological development over 4–9 months. Case data suggested that phonological disorder was best predicted by qualitative data. The results indicated that phonological disorder can be reliably diagnosed at two years of age.

Maternal perception of weight status in first-born Australian toddlers aged 12-16 months--the NOURISH and SAIDI cohorts.

The preference amongst parents for heavier infants is in contrast to obesity prevention efforts worldwide. Parents are poor at identifying overweight in older children, but few studies have investigated maternal perception of weight status amongst toddlers and none in the Australian setting. Mothers (n = 290) completed a self-administered questionnaire at child age 12-16 months, defining their child's weight status as underweight, normal weight, somewhat overweight or very overweight. Weight-for-length z-score was derived from measured weight and length, and children categorized as underweight, normal weight, at risk overweight or obese (WHO standards). Objective classification was compared with maternal perception of weight status. Mean weight-for-length z-score was compared across categories of maternal perception using one-way ANOVA. Multinomial logistic regression was used to determine child or maternal characteristics associated with inaccurate weight perception. Most children (83%) were perceived as normal weight. Twenty nine were described as underweight, although none were. Sixty-six children were at risk of overweight, but 57 of these perceived as normal weight. Of the 14 children who were overweight, only 4 were identified as somewhat overweight by their mother. Compared with mothers who could accurately classify their normal weight child, mothers who were older had higher odds of perceiving their normal weight child as underweight, while mothers with higher body mass index had slightly higher odds of describing their overweight/at risk child as normal weight. The leaner but healthy weight toddler was perceived as underweight, while only the heaviest children were recognized as overweight. Mothers unable to accurately identify children at risk are unlikely to act to prevent further excess weight gain. Practitioners can lead a shift in attitudes towards weight in infants and young children, promoting routine growth monitoring and adequate but not rapid weight gain.