Body composition of 4- and 5-year-old New Zealand girls: a DXA study of initial adiposity and subsequent 4-year fat change

A growth area: A review of the value of clinical studies of child growth for palaeopathology

Studies of living children demonstrate that early life stress impacts linear growth outcomes. Stresses affecting linear growth may also impact later life health outcomes, including increased cardiometabolic disease risk. Palaeopathologists also assess the growth of children recovered from bioarchaeological contexts. Early life stresses are inferred to affect linear growth outcomes, and measurements of skeletal linear dimensions alongside other bioarchaeological information may indicate the types of challenges faced by past groups. In clinical settings, the impacts of stress on growing children are typically measured by examining height. Palaeopathologists are limited to examining bone dimensions directly and must grapple with incomplete pictures of childhood experiences that may affect growth. Palaeopathologists may use clinical growth studies to inform observations among past children; however, there may be issues with this approach. Here, we review the relationship between contemporary and palaeopathological studies of child and adolescent growth. We identify approaches to help bridge the gap between palaeopathological and biomedical growth studies. We advocate for: the creation of bone-specific growth reference information using medical imaging and greater examination of limb proportions; the inclusion of children from different global regions and life circumstances in contemporary bone growth studies; and greater collaboration and dialogue between palaeopathologists and clinicians as new studies are designed to assess linear growth past and present. We advocate for building stronger bridges between these fields to improve interpretations of growth patterns across human history and to potentially improve interventions for children living and growing today.

24-h movement behaviors from infancy to preschool: cross-sectional and longitudinal relationships with body composition and bone health

Background

New physical activity guidelines for children address all movement behaviors across the 24-h day (physical activity, sedentary behavior, sleep), but how each component relates to body composition when adjusted for the compositional nature of 24-h data is uncertain.

Aims

To i) describe 24-h movement behaviors from 1 to 5 years of age, ii) determine cross-sectional relationships with body mass index (BMI) z-score, iii) determine whether movement behaviors from 1 to 5 years of age predict body composition and bone health at 5 years.

Methods

24-h accelerometry data were collected in 380 children over 5–7 days at 1, 2, 3.5 and 5 years of age to determine the proportion of the day spent: sedentary (including wake after sleep onset), in light (LPA) and moderate-to-vigorous physical activity (MVPA), and asleep (including naps). BMI was determined at each age and a dual-energy x-ray absorptiometry (DXA) scan measured fat mass, bone mineral content (BMC) and bone mineral density (BMD) at 5 years of age. 24-h movement data were transformed into isometric log-ratio co-ordinates for multivariable regression analysis and effect sizes back-transformed.

Results

At age 1, children spent 49.6% of the 24-h day asleep, 38.2% sedentary, 12.1% in LPA, and 0.1% in MVPA, with corresponding figures of 44.4, 33.8, 19.8 and 1.9% at 5 years of age. Compositional time use was only related significantly to BMI z-score at 3.5 years in cross-sectional analyses. A 10% increase in mean sleep time (65 min) was associated with a lower BMI z-score (estimated difference, − 0.25; 95% CI, − 0.42 to − 0.08), whereas greater time spent sedentary (10%, 47 min) or in LPA (10%, 29 min) were associated with higher BMI z-scores (0.12 and 0.08 respectively, both p < 0.05). Compositional time use from 1 to 3.5 years was not related to future BMI z-score or percent fat. Although MVPA at 2 and 3.5 years was consistently associated with higher BMD and BMC at 5 years, actual differences were small.

Conclusions

Considerable changes in compositional time use occur from 1 to 5 years of age, but there is little association with adiposity. Although early MVPA predicted better bone health, the differences observed had little clinical relevance.

Trial registration

ClinicalTrials.gov number NCT00892983.

Electronic supplementary material

The online version of this article (10.1186/s12966-018-0753-6) contains supplementary material, which is available to authorized users.

The impact of early growth patterns and infant feeding on body composition at 3 years of age

Early excessive weight gain is positively associated with later obesity, and yet the effect of weight gain during specific periods and the impact of infant feeding practices are debated. The objective of the present study was to examine the impact of weight gain in periods of early childhood on body composition at 3 years, and whether infant feeding modified the relationship between early growth and body composition at 3 years. We studied 233 children from the prospective cohort study, SKOT (in Danish: Småbørns Kost og Trivsel). Birth weight z-scores (BWZ) and change in weight-for-age z-scores (WAZ) from 0 to 5, 5 to 9, 9 to 18 and 18 to 36 months were analysed for relations with body composition (anthropometry and bioelectrical impedance) at 3 years by multivariate regression analysis. BWZ and change in WAZ from 0 to 5 months were positively associated with BMI, fat mass index (FMI) and fat-free mass index (FFMI) at 3 years. Full breastfeeding for 6 months (compared to less than 1 month) eliminated the effect of early growth (P = 0.01). Full breastfeeding for 6 months (compared to less than 1 month) also eliminated the positive relation between BWZ and FMI (P = 0.009). No effect modification of infant feeding was found for FFMI. In conclusion, high birth weight and rapid growth from 0 to 5 months were associated with increased FMI and FFMI at 3 years. Longer duration of full breastfeeding reduced the effect of birth weight and early weight gain on fat mass.

Bioelectrical impedance as a measure of change in body composition in young children

BACKGROUND AND OBJECTIVES

The ability of bioelectrical impedance (BIA) to measure change in body composition in children has rarely been examined.

METHODS

Body composition was estimated by BIA (Tanita BC-418) and dual-energy x-ray absorptiometry (DXA) in 187 children aged 4-8 years at baseline and at 12 months. Change in body composition was compared between the two methods using mixed models.

RESULTS

Estimates of change in fat mass did not differ between BIA and DXA for overweight girls (mean difference between methods, 95% confidence interval: 0.04 kg, -0.19 to 0.28) or boys (0.07 kg, -0.14 to 0.27). BIA was also able to accurately detect change in fat-free mass, with no significant differences between methods (-0.14 kg, -0.10 to 0.38 in girls and -0.07 kg, -0.35 to -0.20 in boys). Change in percentage fat produced similar estimates in both genders (0.18%, -0.82 to 0.46 in girls and 0.38%, -0.37 to 1.13 in boys). BIA/DXA comparisons in normal weight children were also not significantly different, with the exception of percentage fat in girls, where BIA slightly underestimated change compared with DXA (0.7%, 0.02-0.37).

CONCLUSION

BIA performed well as a measure of change in body composition, providing confidence for its use as an outcome measure in children.

Cardiovascular risk factors in children after repeat doses of antenatal glucocorticoids: an RCT

BACKGROUND

Treatment of women at risk for preterm birth with repeat doses of glucocorticoids reduces neonatal morbidity but could have adverse long-term effects on cardiometabolic health in offspring. We assessed whether exposure to repeat antenatal betamethasone increased risk factors for later cardiometabolic disease in children whose mothers participated in the Australasian Collaborative Trial of Repeat Doses of Corticosteroids.

METHODS

Women were randomized to betamethasone or placebo treatment, ≥ 7 days after an initial course of glucocorticoids, repeated each week that they remained at risk for preterm birth at <32 weeks' gestation. In this follow-up study, children were assessed at 6 to 8 years' corrected age for body composition, insulin sensitivity, ambulatory blood pressure, and renal function.

RESULTS

Of 320 eligible childhood survivors, 258 were studied (81%; 123 repeat betamethasone group; 135 placebo [single course] group). Children exposed to repeat antenatal betamethasone and those exposed to placebo had similar total fat mass (geometric mean ratio 0.98, 95% confidence interval [CI] 0.78 to 1.23), minimal model insulin sensitivity (geometric mean ratio 0.89, 95% CI 0.74 to 1.08), 24-hour ambulatory blood pressure (mean difference systolic 0 mm Hg, 95% CI -2 to 2; diastolic 0 mm Hg, 95% CI -1 to 1), and estimated glomerular filtration rate (mean difference 1.2 mL/min/1.73 m(2), 95% CI -3.2 to 5.6).

CONCLUSIONS

Exposure to repeat doses of antenatal betamethasone compared with a single course of glucocorticoids does not increase risk factors for cardiometabolic disease at early school age.

IGF-I at 9 and 36 months of age — relations with body composition and diet at 3 years — the SKOT cohort

OBJECTIVE

High infancy levels of insulin-like growth factor-I (IGF-I) have been associated with increased linear growth and fat-free mass (FFM) but also with risk of obesity. This paper examines how IGF-I at 9 and 36 months relates to diet and body composition.

DESIGN

Healthy term infants from the prospective cohort study, SKOT, were examined at 9 and 36 months with anthropometry, bioelectrical impedance (36 months), 7-day food records and blood analysis of IGF-I and IGFBP-3 by chemiluminescent immunometric assay.

RESULTS

IGF-I at 36 months (n = 229) was positively correlated with 9 months values and values were considerably higher in girls (43%). Children breastfed at 9 months had lower IGF-I concentrations at 9 months but reached the same IGF-I concentrations at 36 months as infants not breastfed at 9 months. IGF-I at 36 months was positively associated with height, weight, BMI, predicted FFM and FFM index (FFM/height (kg/m2)). Although there also was a positive association with predicted fat mass (FM) there was no association with FM index (FM/height (kg/m2)). Further, a negative association with skin fold thickness was observed. A change in IGF-I from 9–36 months was positively related to FFM and FFM index but not BMI, FM and FM index. No associations were seen between IGF-I and current intake of milk, meat or protein energy percentage, but both fat and saturated fat energy percentage were negatively associated with IGF-I.

CONCLUSION

IGF-I concentrations were positively associated with growth but not with adiposity at this age. However, the higher tempo of growth may influence age at adiposity rebound and thereby later risk of obesity. Milk and protein intake at 36 months did not influence IGF-I but there was a negative association with intake of fat and saturated fat. The implications of this finding for development of obesity need further exploration.

Parental underestimates of child weight: a meta-analysis

BACKGROUND AND OBJECTIVE

Parental perceptions of their children's weight play an important role in obesity prevention and treatment. The objective of this study was to determine the proportion of parents worldwide who underestimate their children's weight and moderators of such misperceptions.

METHODS

Original studies published to January 2013 were chosen through literature searches in PUBMED, PSYCHINFO, and CINAHL databases. References of retrieved articles were also searched for relevant studies. Studies were published in English and assessed parental perceptions of children's weight and then compared perceptions to recognized standards for defining overweight based on anthropometric measures. Data were extracted on study-level constructs, child- and parent-characteristics, procedural characteristics, and parental underestimates separately for normal-weight and overweight/obese samples. Pooled effect sizes were calculated using random-effects models and adjusted for publication bias. Moderators were explored using mixed-effect models.

RESULTS

A total of 69 articles (representing 78 samples; n = 15,791) were included in the overweight/obese meta-analysis. Adjusted effect sizes revealed that 50.7% (95% confidence interval 31.1%-70.2%) of parents underestimate their overweight/obese children's weight. Significant moderators of this effect included child's age and BMI. A total of 52 articles (representing 59 samples; n = 64,895) were included in the normal-weight meta-analysis. Pooled effect sizes indicated that 14.3% (95% confidence interval 11.7%-17.4%) of parents underestimate their children's normal-weight status. Significant moderators of this effect included child gender, parent weight, and the method (visual versus nonvisual) in which perception was assessed.

CONCLUSIONS

Half of parents underestimated their children's overweight/obese status and a significant minority underestimated children's normal weight. Pediatricians are well positioned to make efforts to remedy parental underestimates and promote adoption of healthy habits.

Can birth weight predict later body composition in anorexia nervosa?

BACKGROUND/OBJECTIVES

The relationship between birth weight and body composition at later stages in life was not studied previously in anorexia nervosa (AN). The aim of the following brief report is to present results concerning the relationship between birth weight and later body composition specifically in AN, and to check if the programming of body composition from birth weight is still detected in severely emaciated AN patients.

SUBJECTS/METHODS

One hundred and fifty-one female AN patients aged between 13 and 44 were recruited from 11 inpatient treatment facilities in France. Birth weight, body weight and height were obtained. Body composition was measured using bioelectrical impedance. Birth weight was significantly correlated to lifetime maximum body mass index (BMI; r=0.211, P=0.009) and significantly correlated to fat-free mass index (r=0.190, P=0.027) but not to fat mass index (FMI).

RESULTS

This report confirms that even in AN when patients are severely emaciated and where fat-free mass (FFM) and fat mass (FM) are low, a link between birth weight and FFM and BMI can still be identified, independently from age.

CONCLUSION

Further studies are needed on larger samples exploring other factors, such as gender, puberty and ethnicity.

Relationship of total body fat mass to bone area in New Zealand five-year-olds

Fat mass was recently shown to be a positive determinant of bone mass and size independently of lean mass in a birth cohort of British 9-year-olds. The present study was undertaken to investigate whether similar relationships are evident in younger, preschool children. Height and weight were measured, and a total-body dual-energy X-ray absorptiometric scan was performed on 194 preschool New Zealand children (81 girls, 113 boys) participating in the Dunedin birth cohort Family, Lifestyle, Activity, Movement, and Eating (FLAME) study close to their fifth birthday. Relationships of total-body fat mass and lean mass to total-body-less-head (TBLH) bone area and TBLH bone mineral content (BMC) were evaluated using linear regression. Girls had higher mean fat mass (3.9 vs. 3.2 kg) and lower lean mass (14.5 vs. 15.2 kg) than boys (P < 0.001), but their heights, weights, and TBLH bone area were similar. Although a given weight of lean tissue was associated with greater increases in TBLH area than a given weight of fat tissue, our results show that fat mass was an independent predictor of TBLH bone area (R (2 )= 0.79, P < 0.001) and TBLH BMC (R (2) = 0.74, P < 0.001) in data adjusted for socioeconomic status, ethnic group, lean mass, and height. We conclude that increased fat mass is associated with outward expansion of the TBLH skeletal envelope (wider bones) independently of height and lean mass in very young children.

DXA: can it be used as a criterion reference for body fat measurements in children?

OBJECTIVE

Dual-energy X-ray absorptiometry (DXA) is often cited as a criterion method for body composition measurements. We have previously shown that a new DXA software version (Hologic Discovery V12.1) will affect whole-body bone mineral results for subjects weighing <40 kg. We wished to reanalyze pediatric whole-body scans in order to assess the impact of the new software on pediatric soft-tissue body composition estimates.

METHODS AND PROCEDURES

We reanalyzed 1,384 pediatric scans (for ages 1.7-17.2 years) using Hologic software V12.1, previously analyzed using V11.2. Regression analysis and ANCOVA were used to compare body fat (total body fat (TBF), percentage fat (%BF)), and non-bone lean body mass (LBM) for the two versions, adjusting for gender, age and weight.

RESULTS

Software V12.1 yielded values that were higher for TBF, lower for LBM, and unchanged for DXA-derived weight in subjects weighing <40 kg. Body composition values for younger, smaller subjects were most affected, and girls were more affected than boys. Using the new software, 14% of the girls and 10% of the boys were reclassified from the "normal" %BF range to "at risk of obesity," while 7 and 5%, respectively, were reclassified as obese.

DISCUSSION

Hologic's newest DXA software has a significant effect on soft-tissue results for children weighing <40 kg. The effect is greater for girls than boys. Comparison of TBF estimates with previous studies that use older DXA instruments and software should be done with caution. DXA has not yet achieved sufficient reliability to be considered a "gold standard" for body composition assessment in pediatric studies.

DXA measurements confirm that parental perceptions of elevated adiposity in young children are poor

OBJECTIVE

To compare parental assessments of child body weight status with BMI measurements and determine whether children who are incorrectly classified differ in body composition from those whose parents correctly rate child weight. Also to ascertain whether children of obese parents differ from those of non-obese parents in actual or perceived body weight.

RESEARCH METHODS AND PROCEDURES

Weights, heights, BMI, and waist girths of New Zealand children ages 3 to 8 years were determined. Fat mass, fat percentage, and lean mass were measured by DXA (n = 96). Parents classified child weight status as underweight, normal-weight, slightly overweight, or overweight. Centers for Disease Control and Prevention 2000 percentiles of BMI were used.

RESULTS

Parents underestimated child weight status. Despite having 83% more fat mass than children with BMI values below the 85th percentile, only 7 of 31 children with BMI values at or above the 85th percentile were rated as slightly overweight or overweight. In the whole sample, participants whose weight status was underestimated by parents (40 of the 96 children) had l9% less fat mass but similar lean mass as children whose weight status was correctly classified. However, children of obese and non-obese parents did not differ in body composition or anthropometry, and obese parents did not underestimate child weight more than non-obese parents.

DISCUSSION

Because parents underestimate child weight, but BMI values at or above the 85th percentile identify high body fat well, advising parents of the BMI status of their children should improve strategies to prevent excessive fat gain in young children.

Development of relative weight, overweight and obesity from childhood to young adulthood. A longitudinal analysis of individual change of height and weight

BACKGROUND

To investigate individual longitudinal change of relative weight, overweight and obesity from age 5 to 25 years by gender.

METHODS

A cohort was imbedded in four surveys conducted 1992/1993, 1995/1996, 1998/1999 and 2004/2005 in three areas in Germany. Twelve-year-follow-up of 2183 children initially aged 5-13 years at baseline. Main measurements are body mass index (BMI) and international obesity task force (IOTF)-cut point defined overweight and obesity. A special longitudinal random effects model for cohort data was applied, which uses age as meta-meter of follow-up time and takes age at study entry into account.

RESULTS

BMI, overweight and obesity increases with linear and squared age. Girls have a significant higher growth rate than boys in BMI (BMI: 0.89 vs. 0.75 kg/m(2) per 1 year age increment), whereas there is no statistical significant gender difference for overweight [odds ratio (OR) = 1.08 per 1 year] or obesity (OR = 1.11 per 1 year). Longitudinal change rates of BMI vary substantially between individuals [95% reference range (beta +/- 1.96 x SD) for linear change per 1 year is -0.14 to 1.98 in females and -0.29 to 1.83 in males; the 95% range of quadratic change rates are -0.09 to 0.04 in females and -0.08 to 0.05 in males]. Moreover, a steeper increase in BMI over time is observed for children with a higher baseline relative weight.

CONCLUSION

Increases in BMI and the propensity of overweight and obesity follow a quadratic growth curve with the steepest increase before and during puberty. However, the substantial variability of relative weight gain within individuals indicate, that more research in individual change patterns is needed.

The evolution of human fatness and susceptibility to obesity: an ethological approach

Human susceptibility to obesity is an unusual phenomenon amongst animals. An evolutionary analysis, identifying factors favouring the capacity for fat deposition, may aid in the development of preventive public health strategies. This article considers the proximate causes, ontogeny, fitness value and evolutionary history of human fat deposition. Proximate causes include diet composition, physical activity level, feeding behaviour, endocrine and genetic factors, psychological traits, and exposure to broader environmental factors. Fat deposition peaks during late gestation and early infancy, and again during adolescence in females. As in other species, human fat stores not only buffer malnutrition, but also regulate reproduction and immune function, and are subject to sexual selection. Nevertheless, our characteristic ontogenetic pattern of fat deposition, along with relatively high fatness in adulthood, contrasts with the phenotype of other mammals occupying the tropical savannah environment in which hominids evolved. The increased value of energy stores in our species can be attributed to factors increasing either uncertainty in energy availability, or vulnerability to that uncertainty. Early hominid evolution was characterised by adaptation to a more seasonal environment, when selection would have favoured general thriftiness. The evolution of the large expensive brain in the genus Homo then favoured increased energy stores in the reproducing female, and in the offspring in early life. More recently, the introduction of agriculture has had three significant effects: exposure to regular famine; adaptation to a variety of local niches favouring population-specific adaptations; and the development of social hierarchies which predispose to differential exposure to environmental pressures. Thus, humans have persistently encountered greater energy stress than that experienced by their closest living relatives during recent evolution. The capacity to accumulate fat has therefore been a major adaptive feature of our species, but is now increasingly maladaptive in the modern environment where fluctuations in energy supply have been minimised, and productivity is dependent on mechanisation rather than physical effort. Alterations to the obesogenic environment are predicted to play a key role in reducing the prevalence of obesity.

High Levels of Childhood Obesity Observed among 3- to 7-Year-Old New Zealand Pacific Children Is a Public Health Concern

This cross-sectional, community-based survey was designed to assess attained growth and body composition of 3- to 7-y-old Pacific children (n = 21 boys and 20 girls) living in Dunedin, New Zealand, and to examine nondietary factors associated with the percentage of body fat. Fat mass, lean tissue mass and the percentage of body fat were measured using dual energy X-ray absorptiometry. One trained anthropometrist also measured height, weight, skinfolds (triceps, subscapular) and circumferences (mid-upper arm, chest, waist, calf). Compared with the National Center for Health Statistics and National Health and Examination Surveys I and II reference data, these Pacific children were tall and heavy for their age with high arm-muscle-area-for-height. Median (quartiles) Z-scores for height and BMI-for-age and arm-muscle-area-for-height were 1.33 (0.60, 2.15), 1.20 (0.74, 4.43) and 1.09 (0.63, 1.85), respectively. Their median (quartile) percentage of body fat was 21.8% (15.0, 35.5) of which 38.5% was located in the trunk. The estimated percentage of children classified as obese ranged from 34 to 49% depending on the criterion used. Over 60% of the children had levels of trunk fat above 1 SD of reported age- and sex-specific Z-scores for New Zealand children. The nondietary factors examined (hours of television viewing and hours playing organized sports, as reported by parents) were not associated with variations in the percentage of body fat, after adjusting for age, sex and birth weight. These extremely high levels of obesity and truncal fat among very young New Zealand children will have major public health implications as these children age.