Prevention of Overweight in Infancy (POI.nz) study: a randomised controlled trial of sleep, food and activity interventions for preventing overweight from birth
© Taylor et al; licensee BioMed Central Ltd. 2011
Received: 1 December 2011
Accepted: 19 December 2011
Published: 19 December 2011
Rapid weight gain during the first three years of life predicts child and adult obesity, and also later cardiovascular and other morbidities. Cross-sectional studies suggest that infant diet, activity and sleep are linked to excessive weight gain. As intervention for overweight children is difficult, the aim of the Prevention of Overweight in Infancy (POI.nz) study is to evaluate two primary prevention strategies during late pregnancy and early childhood that could be delivered separately or together as part of normal health care.
This four-arm randomised controlled trial is being conducted with 800 families recruited at booking in the only maternity unit in the city of Dunedin, New Zealand. Mothers are randomised during pregnancy to either a usual care group (7 core contacts with a provider of government funded "Well Child" care over 2 years) or to one of three intervention groups given education and support in addition to "Well Child" care: the Food, Activity and Breastfeeding group which receives 8 extra parent contacts over the first 2 years of life; the Sleep group which receives at least 3 extra parent contacts over the first 6 months of life with a focus on prevention of sleep problems and then active intervention if there is a sleep problem from 6 months to 2 years; or the Combination group which receives all extra contacts. The main outcome measures are conditional weight velocity (0-6, 6-12, 12-24 months) and body mass index z-score at 24 months, with secondary outcomes including sleep and physical activity (parent report, accelerometry), duration of breastfeeding, timing of introduction of solids, diet quality, and measures of family function and wellbeing (parental depression, child mindedness, discipline practices, family quality of life and health care use). This study will contribute to a prospective meta-analysis of early life obesity prevention studies in Australasia.
Infancy is likely to be the most effective time to establish patterns of behaviour around food, activity and sleep that promote healthy child and adult weight. The POI.nz study will determine the extent to which sleep, food and activity interventions in infancy prevent the development of overweight.
Obesity is one of the greatest threats to health in the 21st century in many countries, including New Zealand. New Zealand is one of the five worst OECD countries for both child and adult overweight status , with almost 10% of children aged 5-14 years currently considered obese and a further 20% identified as overweight . Many parents do not recognise that their children are overweight [3, 4], and even if they do, long-term outcomes from interventions once children or adults are overweight are not impressive [5, 6]. In response to convincing evidence that early growth sets the pattern for future growth and predicts both childhood and adult obesity, as well as later cardiovascular morbidity and mortality [7–9], there has been an increasing focus on preventive interventions during infancy.
In designing interventions for the primary prevention of excessive weight gain in infancy, it appears logical to begin with the most obvious determinants of energy balance--energy intake (breastfeeding, complementary feeding, and infant diet) and energy expenditure (activity and sedentary behaviours). However, over the last 10 years, increasing evidence has also linked sleep problems, and in particular short sleep duration, with increased risk of excessive weight gain . An intervention that seeks to alter infant food, activity and sleep needs to effectively modify parental practices in these areas in order to positively influence infant behaviour. The following sections outline the justification for our approach.
Breastfeeding and introduction of complementary foods
Despite continued controversy, a recent review of systematic reviews of observational studies supports an association between no, or short, duration of breastfeeding and an increased risk of overweight and obesity to 5 years of age . Although the effect appears to be small--each additional month of breastfeeding may be associated with a 4% decrease in the odds of overweight --it does not appear to be explained by publication bias or confounding . Breastfeeding may be particularly protective against obesity if the breastfeeding is exclusive , or the mother is overweight . However, limited intervention studies have been performed and it is not possible to conduct a trial in which infants are randomised to receive or not receive breast milk. The PROBIT study was able to randomise maternity hospitals in Belarus to either a breastfeeding promotion based on the WHO-UNICEF Baby-Friendly Hospital Initiative, or standard practices and policies in place at the time of the study. Although the intervention group increased their duration of exclusive breastfeeding this had no effect on body mass index (BMI) at 6.5 years of age . However, caution must be exercised when applying these results to countries such as New Zealand, where obesity rates, and therefore the potential for prevention, are considerably higher.
It has been suggested that later introduction of complementary foods may be associated with lower percentage body fat at age 7 years  and decreased risk of adult overweight . However, this is controversial , with a number of studies finding no immediate effect on growth during infancy including two small randomised trials to 6 and 12 months of age [20, 21]. More recently, a longitudinal study following Australian infants from before birth to 10 years of age found that delaying the introduction of solids from 20 to 24 weeks of age was associated with a 10% lower odds of overweight or obesity at 10 years from multivariate modelling . The authors propose potential mechanisms, including epigenetic modification of metabolic programming and effects of excess protein intake on age of adiposity rebound that may account for a delayed effect on obesity, even in the absence of an immediate effect on body weight.
Food and eating
Early studies clearly demonstrated that children are born with an ability to self-regulate intake to match physiological needs . However, the rising prevalence of overweight in toddlers and preschool-aged children and the current mismatch between energy intake and requirements  would suggest that this ability is either lost or ignored from fairly early in life. The potential role that parents play in encouraging appropriate eating is thus of considerable interest. In feeding terms, responsive parenting refers to a parent promoting a pleasant feeding environment and responding to hunger and satiety cues in their offspring. By contrast, unresponsive parenting involves over-control from the parent such as pressuring the child to eat or overtly restricting foods, too little control of the child's eating (uninvolved feeding), or too much control by the child (indulgent feeding) . The majority of studies investigating responsive parenting in young children demonstrate significant inverse relationships with body weight . Ideally parents play a role in helping children develop appropriate food preferences by offering a range of healthy foods, on a number of occasions, and in a relaxed environment .
Factors other than parenting style have also been implicated in excessive weight gain during the early years, including family meals, portion size, and consumption of sweetened beverages. Family meals are associated with healthy eating patterns  and reduced obesity  in children and adolescents. However, the relative effects may differ across ethnic and socioeconomic groups  and any positive effects of shared mealtimes may be mitigated by having television on at the same time . Although the precise mechanisms remain to be elucidated, eating together allows modelling of eating practices, is predictive of family connectedness and presumably facilitates communication.
Portion size has also been implicated in the development of obesity  and experimental studies consistently demonstrate that offering larger portions of energy-dense foods results in a greater intake of food, at least in the short-term [32, 33]. In contrast, providing larger portions of low energy-dense foods (fruit and vegetables) increases the overall intake of these foods, without increasing total energy intake for the meal . However, educating parents about appropriate portion sizes for children is complicated by a lack of awareness or indeed concern about age-appropriate portion sizes for children . Furthermore, although earlier work suggested that preschool-aged children may be relatively immune to the obesogenic effect of increased portion size , more recent studies highlight that energy dysregulation may occur as early as 12 months of age [37, 38]. Training parents to recognise and respond to hunger and satiety cues in their infants in an effort to encourage appropriate food consumption independently of portion size is therefore of considerable interest.
The relative contribution of sweetened beverages to the development of obesity is controversial [39, 40]. There is no doubt that intakes of sweetened beverages have increased substantially over time in all age groups, at least in the US where the majority of infants aged 6-24 months consume sweetened beverages, predominantly fruit juice or fruit drinks (6 ounces/day) with smaller intakes (1.5 ounces/day) of other sweet drinks , at a time when obesity rates have risen. Certainly there appear to be links between consumption of sweet beverages and body weight in older preschool children .
Physical activity and sedentary behaviours
Engaging in more sedentary activities (including television viewing) and less outside play have also been linked to the development of obesity with some evidence suggesting that less active pre-school children remain less active than their peers throughout childhood . Although it is commonly believed that young children are very active, studies utilising objective measures of physical activity (accelerometry) demonstrate that even preschool aged children spend a large portion of their day in sedentary activities, as do older children and adolescents [44, 45]. Expert groups currently recommend exposing infants to prone play or "tummy time" to help facilitate motor milestone development, and limiting the time spent restrained in car seats, strollers, prams, and play pens . However many parents do not encourage prone play in their infants, because of either infant resistance, or misperceptions around positioning during sleep (prone not recommended) and awake (prone recommended) .
Despite recommendations from expert groups to discourage television viewing in children under two years of age , television viewing is common in this age group . This applies to even the youngest infants, with 40% of 3 month olds viewing television, a proportion that increases with age so that 90% of 24 month old children are watching television regularly . Exposure to television in the infant and toddler years has been associated with irregular sleep patterns  and poorer dietary habits , and may impair later language and cognitive development , and predispose children to obesity . Interventions to reduce television viewing in the first few years of life show promising effects on the time spent watching television [55, 56].
At birth, the sleep of term infants is considered polycyclic, i.e. there are multiple sleep periods and wake periods in a 24-hour day. On average, infants from birth to 2 months sleep approximately 15 h with short periods of waking . Gradually infants consolidate their sleep into nocturnal sleep and daytime wake, coincident with maturation of sleep-wake regulatory systems within the brain circuitry. However, behavioural or physiological factors can intervene to upset sleep-wake regulatory systems, resulting in problematic sleep. Parenting is proposed to play a key role in sleep-wake regulatory systems . Sleep problems within the normal (non-clinical) population fall into the categories of: 1) insomnia (difficulty getting to sleep); 2) poor sleep maintenance (difficulty staying asleep), and; 3) sleep fragmentation (frequent night waking). Sleep problems can result in a shorter than normal sleep duration measured over a 24-hour period (termed "short sleep duration").
Adequate sleep in infancy and childhood is important for physical and psychosocial growth and development. A number of cross-sectional and longitudinal studies have linked short sleep duration with the development of obesity [10, 59, 60]. Moreover, as obesity rates have increased over the last one or two decades, some longitudinal studies have reported a significant decline in sleep duration [61, 62] possibly associated with modern lifestyle.
Sleep difficulties in early infancy are common (25-35% prevalence) and can be transient but those unable to achieve a sleep duration of 6 h by 5 months of age have a much greater risk of short sleep duration and sleep problems later in childhood [63, 64]. Moreover, sleep problems often co-exist with feeding difficulties . There are proven strategies for preventing and treating sleep problems in infancy , which may also decrease postnatal depression in mothers and improve family well-being . However, their potential impact on growth and obesity is not known. In one study these sleep interventions did not appear to affect growth  but the effects of the sleep intervention on parent-reported sleep problems were not large, there were no objective measures of sleep, and growth outcomes were not part of a pre-planned analysis. Paul et al. , however, report a pilot study of a combination infant sleep intervention and weaning intervention that had a significant effect on weight for height centiles at 1 year of age with the mean weight for height centile in the combined intervention group being the 33rd centile compared to the 50th centile for the comparison group.
At least 9 genes have been associated with obesity in childhood , and at least one of these seems to influence appetite . As genes and environment interact at many levels, it is important to assess the more common genetic loci increasing the risk for excessive weight gain in large intervention studies.
All parenting practices, including those around infant food, activity and sleep, are influenced by parenting style, a psychological construct representing standard strategies that parents use in their child rearing. Parenting style is characteristic of the parent, is not altered by the child, is stable over time and acts as the context that moderates the influences of specific parenting practices . It is therefore important to investigate the relationship between parenting style and the success of any behaviour intervention. Managing children's behaviour is a fundamental part of parenting, and disciplinary practices within families that can have a lifelong effect on children's well-being . Surprisingly few studies have explored the emergence of discipline practices in the first few years of life and those authors who have, have focused on physical discipline [74, 75]. More recently, research has suggested that punishment of any type, and verbal aggression, may have the same adverse effects on well-being as physical discipline . Several American studies have claimed that as many as a third of parents reported yelling at infants before they were nine months of age and twice this number between 19 and 35 months [77, 78]. As education and support around the areas of feeding, activity and sleep are part of broader parental efforts to modify child behaviour, examining the potential effects (either positive or negative) on child discipline of any intervention that affects parenting behaviour is warranted.
The aim of this study is to evaluate the effect on weight velocity and body mass index at 24 months of age of two early childhood obesity prevention interventions delivered to parents in late pregnancy and the first 2 years of their infant's life: anticipatory guidance, extra education and support to encourage (a) positive diet and physical activity behaviours, or (b) appropriate sleeping patterns, or (c) both interventions combined.
Overall study design
Participants and recruitment
All pregnant women booked into the Queen Mary Maternity Unit, Dunedin Hospital (Dunedin, New Zealand), will receive a letter acknowledging their booking and providing initial information about the study. There is no other birthing facility in Dunedin, and the number of home births in Dunedin is < 3%. The Lead Maternity Carers (LMCs) who offer home births will give similar information to women requesting home births. At 28 weeks gestation the prospective participant will be sent a letter inviting participation with an opt-out option. Should the woman not opt-out, a research nurse will ring her within 2 weeks to establish eligibility, explain the study, answer any initial questions and, if appropriate, make a time for an individual meeting so that the woman can give her written informed consent to participate. Once eligibility is established and consent obtained, the woman will be randomised to one of the four study groups.
Women will be eligible to participate if they are aged 16 years and over; are booked into the birthing unit at Queen Mary Maternity Unit, Dunedin Hospital, or we are notified by their home birth LMC, before 34 weeks gestation; are able to communicate in English or te reo Māori (Māori language); and are not planning to leave the local area prior to their child's second birthday.
After birth, babies will be excluded if they are born before full term (36.5 weeks), or if a congenital abnormality or a physical or intellectual disability likely to affect feeding, physical activity or growth is identified.
A sample of 800 mothers (200 in each arm) will be required for the study at baseline, allowing for approximately 25% drop-out. The sample size calculation was based on detecting differences in the two main outcomes: weight velocity and body mass index (BMI) at two years with power set at 80% and two-sided significance (alpha) at 5% in all cases. A sample size of 103 per group is needed to detect a difference in the proportion of children having a weight velocity above the 75th centile of the World Health Organisation (WHO) "ideal growth" standards of 50 versus 30% in any two arms of the trial at 3 years. One hundred and forty-two participants per group would be required to detect a difference in BMI of 0.5 kg/m2 using a mean (SD) of 16.8 (1.5) from an earlier study . Our study is also sufficiently powered to detect differences in several secondary outcomes including a difference in 24-hour sleep duration of 0.5 h (23 participants per group assuming a SD of 0.6 h) and a difference in sleep problems of 35% versus 20% (151 per group).
Registration and randomisation
A computerised random-number generator will be used to assign blocks of participants to the four arms. As socioeconomic status (SES) and parity may significantly affect the primary outcomes, stratified block allocation was used (SES low, medium or high (defined by the 2006 New Zealand Index of Deprivation ); parity 1 vs. > 1) with a block size of three used within each combination of strata. Allocation will be concealed and performed following application of the inclusion and exclusion criteria. The randomised group will be revealed to the participant by the research nurse on the opening of an opaque pre-sealed envelope.
Usual care group
Families in the Usual Care group (the comparison group) will receive the standard government funded "Well Child" care service which includes 7 core visits at 2-4 weeks, 6 weeks, 3, 5, 8-10 and 15 months, and 2 years of age respectively. These free home and clinic visits with a Well Child nurse assess growth and development, hearing, vision and wellness for all children in New Zealand (see http://www.health.govt.nz/our-work/life-stages/child-health/well-child-services/well-child-overview). The nurses offer support and guidance with growth and development assessments and information about breastfeeding, nutrition, parenting, safe sleep environments, smoking cessation, safety, immunisation, and family health issues.
Families randomised to one of the three intervention groups will receive standard Well Child care plus additional support and education according to group allocation. The interventions will be delivered by specially trained research nurses, lactation consultants, and sleep specialists as appropriate via home visits (majority) and group sessions, as described below.
Those in the Food, Activity and Breastfeeding (FAB) group will receive an additional 8 parent contacts for augmented education and support around breastfeeding, food and activity over the first 18 months. An anticipatory guidance group session will be held before birth (typically 34-35 weeks gestation) to discuss breastfeeding (benefits, challenges, developing a "breastfeeding plan") and outline the FAB programme. A registered lactation consultant will visit each mother in the first week she returns home from the maternity unit and when the infant is 4 months of age to provide specific support and education around breastfeeding (exclusive breastfeeding to 6 months of age, breastfeeding to 12 months of age), or formula feeding if necessary, and the introduction of solid foods (delaying to 5-6 months of age, re-offering new foods that have been rejected, beverages, family meals, hunger and satiety cues, "you provide, they decide"). The lactation consultant will also be available for additional support when requested by the participant up to 6 months postpartum. Group physical activity sessions will be run by early childhood exercise specialists at 3, 9 and 18 months. These sessions target the importance of awake prone time ("tummy time"), outdoor play, and family activity; and encourage limiting television viewing prior to two years of age. Food-based education sessions will be held at 7, 12 (individual) and 18 (group) months of age aiming to improve several aspects of food intake (fruit, vegetables, snack foods, treat foods, beverages, family meals, breakfast, portion sizes) as well as providing advice on appropriate parenting strategies via the use of a "you provide, they decide" model , with repeated offering of new foods that have been rejected.
Those in the Sleep group receive an additional 3 (minimum) parent contacts focussing on developing appropriate sleep habits from early in life. An anticipatory guidance group session will be held before birth (typically 34-35 weeks gestation) to outline normal sleep and what to expect in the first few months, as well as techniques to prevent the development of sleep problems--primarily detecting signs of tiredness early and placing baby to sleep awake but just before they go to sleep, maximising day-night differences, and avoiding bed-sharing. A research nurse then conducts home visits at 3 weeks, 4 months and 6 months, with sleep advice given as required. At the 3 week home visit, a sleep information booklet is given to participants and the information is re-enforced in one to one interaction with the research nurse. Parents who indicate that their child has problematic sleep at any time from 6 months to 2 years of age are offered a more intensive sleep intervention. If participants request this assistance, an assessment of the baby's sleep and related factors is completed by the research nurse and this assessment is then brought to a meeting of the Sleep team and appropriate intervention discussed. The research nurse then takes a suggested plan back to the family and works alongside the family to assist implementing the agreed approach. Support by way of phone calls or visits will be given as required. The interventions used are matched to each family with the following modified "extinction" techniques being preferred: Parental Presence, Controlled Comforting and 'Camping Out' [66, 82].
Those in the Combo group receive all FAB and SLEEP interventions as described above. Some are combined so that there are 9 intervention visits in total.
Outcome measures for the study
Anthropometry - childa
Anthropometry - parentb
Breast feeding and introduction of solids
Brief monthly phone call from 7 to 23 weeks
Diet in child
Physical activity (child)
Physical activity (parent)
skills & efficacy
Family quality of life
Trained measurers blinded to group allocation will conduct all outcome measurements following standard protocols, in general as used by the WHO studies that established the WHO ideal growth charts . As waist circumference is not specified in the WHO protocols, waist circumference for infants up to 2 years of age will be measured just above the plane connecting the superior iliac crests, with the infant lying down. In parents, the natural waist (the narrowest part of the torso) will be measured. Pre-pregnancy maternal weight will be self-reported. All other weights will be measured in standard clothing conditions (singlet and no nappy for babies, singlet and/or underwear for older children) using regularly calibrated electronic scales (Tanita WB-100 MA/WB -110 MA). Length will be measured using a Rollameter 100c length board (Harlow Healthcare, UK), head circumference using a Seca 212 measuring tape (Seca, Germany) and abdominal circumferences using a Rosscraft Anthropometric tape (Rosscraft Innovations Inc, USA). All heights will be measured using a Harpenden stadiometer (Holtain Ltd, UK) in the clinic setting or a Leicester Height Measure (Harlow Healthcare, UK) when parents request a home visit for measuring. All measurements will be conducted in sequence as follows (mother (M), father (F), baby (B), weight (w), height (h), length (l), waist circumference (wc), head circumference(hc)): Mh, Mwc, Mh, Mwc, Bhc, Mw, Bw, Mw, Bw, Bwc, Bl, Bwc, Bl, Bhc, Fw, Fh, Fwc, Fw, Fh, Fwc.
A third measurement will be made if the duplicate measures indicated above are not within 0.1 kg for weight, 0.5 cm for height, 0.7 cm for length, 1.0 cm for waist circumference, and 0.5 cm for Head circumference. Table 1 details the measurements at each time point.
To gain a more accurate measure of breastfeeding status and when solids are introduced, participants will be interviewed by brief phone call every 4 weeks when their infant is aged 3-27 weeks, and asked to provide information on changes in breastfeeding, or infant formula feeding, to the nearest week. Qualitative interviews will also be conducted with a subset of women to explore the role of perceived insufficient milk supply in shortening the duration of breastfeeding, and to describe the experiences of women who exclusively breastfeed successfully to 6 months.
Dietary intake and habits
Dietary intake will be assessed by a validated food-frequency questionnaire (FFQ) at 12 and 24 months. This consists of 87 foods or food groupings and assesses frequency of intake across seven categories ranging from less than once per month to number of times per day. Serving size is measured using a combination of child palm size and usual counts (eg. 1 slice of bread). The assessment of leftovers is also incorporated into each question. Maternal feeding practices will be assessed using the Comprehensive Feeding Practices Questionnaire  at 18 months and by the Caregiver's Feeding Styles Questionnaire at 24 months . Food security was measured at baseline using questions derived from the New Zealand National Nutrition Survey1997 .
Physical activity and inactivity
The primary measure of physical activity will be obtained from Actical accelerometers (Mini-Mitter, Bend, OR) attached by specially made belts to the child's ankle (6 months) or waist (12 and 24 months) and worn over 5 consecutive 24-hr periods. Given the lack of validated cut-offs for determining intensity of activity in infancy, activity accelerometry will be measured as counts/minute. Questionnaires will assess the amount of active outdoor and indoor play, stroller and car seat use, and television viewing; and family rules around television use. Parental physical activity will be assessed using the short form of the New Zealand Physical Activity Questionnaire [86, 87]. Motor skills will be assessed by using age appropriate questions from WHO developmental questions  as well as the "ages and stages" questionnaire .
The quantity and quality of sleep will be assessed by questionnaire and 2-day sleep diaries (5-minute blocks) at multiple time points (see Table 1). The questionnaires were developed from the consensus opinion of the researchers and using items from a range of validated sleep questionnaires [90, 91] and national surveys. The format has been standardised to ask for usual behaviour over the last 2 weeks, in particular time put to bed, time taken to settle to sleep, number and usual duration of awakenings and wake up time. We asked parents to answer similar questions about their own sleep and also to provide a self-rating of adequacy of duration and quality of sleep. Specific questions around pre-sleep routines and sleep environment has also been included. Parental fatigue levels will be assessed using the brief fatigue assessment scale .
Infant sleep will also be objectively measured using Actical accelerometers (Mini-Mitter, Bend, OR) over 5 consecutive 24-hr periods as for physical activity assessment . An algorithm developed specifically for the accelerometer will be used to identify infant sleep-wake states.
Cord blood will be collected and stored at the time of delivery. Genomic DNA will be prepared and the contribution of inherited genetic variants known to explain variation in weight tested for a role in weight gain in the children. Examples are the FTO and MC4R genes. The influence of environmental factors on genes will also be tested, including interactions and epigenetic changes.
Parenting and family life
Parenting skills and efficacy will be measured using four brief scales from the Longitudinal Study of Australian Children (LSAC) measuring warmth, irritability, consistency and overprotection (24 items extracted from Wave 1 interview schedule 1 and parent questionnaire 1) . Maternal attachment to infant, and infant adaptability will be assessed by two subscales from the Parent Stress Index , while usual discipline practices will be assessed using an age appropriate list of positive and negative behaviours from 6 months of age. Family chaos will be assessed  at 18 months as will family quality of life  at 12 and 24 months.
Parental mental state, stress and support
The 30 item Colorado Childhood Temperament Inventory  will be used at 6 months and 2 years of age, partly because it contains a subscale that looks at reaction to food.
Analyses will be conducted using the intention to treat principle (retrospective exclusions will be made where participants are subsequently found to have not satisfied inclusion/exclusion criteria) although some missing data is anticipated due to dropout. Linear mixed models will be used to compare arms of the trial for continuous outcomes (for example weight or BMI z-score) using an appropriate covariance structure for the repeated measures (selected using Akaike's and Bayesian Information Criteria). Binary and ordinal logistic mixed models will be used where the outcome is categorical (for example, moderate or major sleep problem at 2 years). Models will control for known predictors of the outcome of interest (including parity and birth weight). The linearity of associations for continuous predictors will be examined using fractional polynomials, with transformations used when necessary. Appropriate residual plots will be examined to identify problems with model assumptions. Missing data are anticipated to be either missing completely at random or missing at random, in which case maximum likelihood estimates will be unbiased, but sensitivity analyses will be performed to examine possible effects on conclusions should this assumption not hold. In all cases, 95% confidence intervals will be reported. Statistical significance will be determined by p < 0.05 and all tests will be two-sided.
This study looks directly at modifying growth in early infancy--a time when it is likely to be easiest to set up patterns of behaviour around food, activity and sleep that appear to be associated with healthier child and adult weight. Three similar studies are currently being conducted in Australia which all focus on first time mothers [102–104]. The 3 Australian studies and this New Zealand study will prospectively collect an identical minimum dataset, and have agreed to, after individual analysis of each study, combine our data in a prospective meta-analysis . It should be noted that this New Zealand study is the only one to include multi-parous mothers as well as a specific intervention focused on sleep. As such, it is one of only a few studies deliberately using sleep as an intervention to prevent or manage overweight status [69, 106, 107]. As there is considerable controversy around using behavioural methods to alter infant sleep patterns, this study is taking considerable effort to look at any effect of these interventions on parenting and maternal attachment, as well as infant behaviour. If these interventions prove to be successful, the primary prevention of obesity in infancy could have a major impact on children over their life course, contributing to lower cardiovascular risk, hypertension, obstructive sleep apnoea, type 2 diabetes, and joint and bone problems.
This study is funded by the Health Research Council of New Zealand, and the New Zealand Ministry of Health through the Southern District Health Board.
- International Comparisons of Obesity Prevalence. [http://www.noo.org.uk/NOO_about_obesity/international/]
- Parnell W, Scragg R, Wilson N, Schaaf D, Fitzgerald E: NZ Food NZ Children Key results of the 2002 National Children's Nutrition Survey. Book NZ Food NZ Children Key results of the 2002 National Children's Nutrition Survey. 2003, City: Ministry of Health, 289-Google Scholar
- Huang JS, Becerra K, Oda T, Walker E, Xu R, Donohue M, Chen I, Curbelo V, Breslow A: Parental ability to discriminate the weight status of children: results of a survey. Pediatrics. 2007, 120: e112-119. 10.1542/peds.2006-2143.PubMedGoogle Scholar
- Eckstein KC, Mikhail LM, Ariza AJ, Thomson JS, Millard SC, Binns HJ: Parents' perceptions of their child's weight and health. Pediatrics. 2006, 117: 681-690. 10.1542/peds.2005-0910.PubMedGoogle Scholar
- Epstein LH, Paluch RA, Roemmich JN, Beecher MD: Family-based obesity treatment, then and now: twenty-five years of pediatric obesity treatment. Health Psychol. 2007, 26: 381-391.PubMedPubMed CentralGoogle Scholar
- Witham MD, Avenell A: Interventions to achieve long-term weight loss in obese older people: a systematic review and meta-analysis. Age Ageing. 2010, 39: 176-184. 10.1093/ageing/afp251.PubMedGoogle Scholar
- Ong KK, Loos RJ: Rapid infancy weight gain and subsequent obesity: systematic reviews and hopeful suggestions. Acta Paediatr. 2006, 95: 904-908. 10.1080/08035250600719754.PubMedGoogle Scholar
- Ekelund U, Ong KK, Linne Y, Neovius M, Brage S, Dunger DB, Wareham NJ, Rossner S: Association of weight gain in infancy and early childhood with metabolic risk in young adults. J Clin Endocrinol Metab. 2007, 92: 98-103.PubMedGoogle Scholar
- Stettler N: Nature and strength of epidemiological evidence for origins of childhood and adulthood obesity in the first year of life. Int J Obes (Lond). 2007, 31: 1035-1043. 10.1038/sj.ijo.0803659.Google Scholar
- Nielsen LS, Danielsen KV, Sorensen TI: Short sleep duration as a possible cause of obesity: critical analysis of the epidemiological evidence. Obes Rev. 2011, 12: 78-92. 10.1111/j.1467-789X.2010.00724.x.PubMedGoogle Scholar
- Monasta L, Batty GD, Cattaneo A, Lutje V, Ronfani L, Van Lenthe FJ, Brug J: Early-life determinants of overweight and obesity: a review of systematic reviews. Obes Rev. 2010, 11: 695-708. 10.1111/j.1467-789X.2010.00735.x.PubMedGoogle Scholar
- Harder T, Bergmann R, Kallischnigg G, Plagemann A: Duration of breastfeeding and risk of overweight: a meta-analysis. Am J Epidemiol. 2005, 162: 397-403. 10.1093/aje/kwi222.PubMedGoogle Scholar
- Horta BL, Bahl R, Martinés JC, Victora CG: Evidence on the long-term effects of breastfeeding: a systematic review and meta-analyses. Book Evidence on the long-term effects of breastfeeding: a systematic review and meta-analyses. 2007, City: World Health OrganisationGoogle Scholar
- Frye C, Heinrich J: Trends and predictors of overweight and obesity in East German children. Int J Obes Relat Metab Disord. 2003, 27: 963-969. 10.1038/sj.ijo.0802321.PubMedGoogle Scholar
- Buyken AE, Karaolis-Danckert N, Remer T, Bolzenius K, Landsberg B, Kroke A: Effects of breastfeeding on trajectories of body fat and BMI throughout childhood. Obesity (Silver Spring). 2008, 16: 389-395. 10.1038/oby.2007.57.Google Scholar
- Kramer MS, Matush L, Vanilovich I, Platt RW, Bogdanovich N, Sevkovskaya Z, Dzikovich I, Shishko G, Collet JP, Martin RM, et al: Effects of prolonged and exclusive breastfeeding on child height, weight, adiposity, and blood pressure at age 6.5 y: evidence from a large randomized trial. Am J Clin Nutr. 2007, 86: 1717-1721.PubMedGoogle Scholar
- Wilson AC, Forsyth JS, Greene SA, Irvine L, Hau C, Howie PW: Relation of infant diet to childhood health: seven year follow up of cohort of children in Dundee infant feeding study. BMJ. 1998, 316: 21-25. 10.1136/bmj.316.7124.21.PubMedPubMed CentralGoogle Scholar
- Schack-Nielsen L, Sorensen T, Mortensen EL, Michaelsen KF: Late introduction of complementary feeding, rather than duration of breastfeeding, may protect against adult overweight. Am J Clin Nutr. 2010, 91: 619-627. 10.3945/ajcn.2008.27078.PubMedGoogle Scholar
- Kramer MS: Breastfeeding, complementary (solid) foods, and long-term risk of obesity. Am J Clin Nutr. 2010, 91: 500-501. 10.3945/ajcn.2010.29199.PubMedGoogle Scholar
- Cohen RJ, Brown KH, Canahuati J, Rivera LL, Dewey KG: Effects of age of introduction of complementary foods on infant breast milk intake, total energy intake, and growth: a randomised intervention study in Honduras. Lancet. 1994, 344: 288-293. 10.1016/S0140-6736(94)91337-4.PubMedGoogle Scholar
- Mehta KC, Specker BL, Bartholmey S, Giddens J, Ho ML: Trial on timing of introduction to solids and food type on infant growth. Pediatrics. 1998, 102: 569-573. 10.1542/peds.102.3.569.PubMedGoogle Scholar
- Seach KA, Dharmage SC, Lowe AJ, Dixon JB: Delayed introduction of solid feeding reduces child overweight and obesity at 10 years. Int J Obes. 2010, 34: 1475-1479. 10.1038/ijo.2010.101.Google Scholar
- Birch LL: Development of food acceptance patterns in the first years of life. Proc Nutr Soc. 1998, 57: 617-624. 10.1079/PNS19980090.PubMedGoogle Scholar
- Fox MK, Reidy K, Karwe V, Ziegler P: Average portions of foods commonly eaten by infants and toddlers in the United States. J Am Diet Assoc. 2006, 106: S66-76.PubMedGoogle Scholar
- Black MM, Aboud FE: Responsive feeding is embedded in a theoretical framework of responsive parenting. J Nutr. 2011, 141: 490-494. 10.3945/jn.110.129973.PubMedPubMed CentralGoogle Scholar
- Hurley KM, Cross MB, Hughes SO: A systematic review of responsive feeding and child obesity in high-income countries. J Nutr. 2011, 141: 495-501. 10.3945/jn.110.130047.PubMedPubMed CentralGoogle Scholar
- Birch LL, Ventura AK: Preventing childhood obesity: what works?. Int J Obes. 2009, 33 (Suppl 1): S74-81.Google Scholar
- Fitzpatrick E, Edmunds LS, Dennison BA: Positive effects of family dinner are undone by television viewing. J Am Diet Assoc. 2007, 107: 666-671. 10.1016/j.jada.2007.01.014.PubMedGoogle Scholar
- Anderson SE, Whitaker RC: Household routines and obesity in US Preschool-Aged Children. Pediatrics. 2010, 125: 420-428. 10.1542/peds.2009-0417.PubMedGoogle Scholar
- Rollins BY, Belue RZ, Francis LA: The beneficial effect of family meals on obesity differs by race, sex, and household education: the national survey of children's health, 2003-2004. J Am Diet Assoc. 2010, 110: 1335-1339. 10.1016/j.jada.2010.06.004.PubMedPubMed CentralGoogle Scholar
- Young LR, Nestle M: The contribution of expanding portion sizes to the US obesity epidemic. Am J Public Health. 2002, 92: 246-249. 10.2105/AJPH.92.2.246.PubMedPubMed CentralGoogle Scholar
- Rolls BJ: Plenary Lecture 1: dietary strategies for the prevention and treatment of obesity. Proc Nutr Soc. 2010, 69: 70-79. 10.1017/S0029665109991674.PubMedGoogle Scholar
- Fisher JO, Liu Y, Birch LL, Rolls BJ: Effects of portion size and energy density on young children's intake at a meal. Am J Clin Nutr. 2007, 86: 174-179.PubMedPubMed CentralGoogle Scholar
- Kral TV, Kabay AC, Roe LS, Rolls BJ: Effects of doubling the portion size of fruit and vegetable side dishes on children's intake at a meal. Obesity (Silver Spring). 2010, 18: 521-527. 10.1038/oby.2009.243.Google Scholar
- Croker H, Sweetman C, Cooke L: Mothers' views on portion sizes for children. J Hum Nutr Diet. 2009, 22: 437-443. 10.1111/j.1365-277X.2009.00969.x.PubMedGoogle Scholar
- Rolls BJ, Engell D, Birch LL: Serving portion size influences 5-year-old but not 3-year-old children's food intakes. J Am Diet Assoc. 2000, 100: 232-234. 10.1016/S0002-8223(00)00070-5.PubMedGoogle Scholar
- Fox MK, Devaney B, Reidy K, Razafindrakoto C, Ziegler P: Relationship between portion size and energy intake among infants and toddlers: evidence of self-regulation. J Am Diet Assoc. 2006, 106: S77-S83.PubMedGoogle Scholar
- McConahy KL, Smiciklas-Wright H, Mitchell DC, Picciano MF: Portion size of common foods predicts energy intake among preschool-aged children. J Am Diet Assoc. 2004, 104: 975-979. 10.1016/j.jada.2004.03.027.PubMedGoogle Scholar
- Mattes RD, Shikany JM, Kaiser KA, Allison DB: Nutritively sweetened beverage consumption and body weight: a systematic review and meta-analysis of randomized experiments. Obes Rev. 2011, 12: 346-365. 10.1111/j.1467-789X.2010.00755.x.PubMedPubMed CentralGoogle Scholar
- Vartanian LR, Schwartz MB, Brownell KD: Effects of soft drink consumption on nutrition and health: a systematic review and meta-analysis. Am J Public Health. 2007, 97: 667-675. 10.2105/AJPH.2005.083782.PubMedPubMed CentralGoogle Scholar
- Marshall TA, Levy SM, Broffitt B, Eichenberger-Gilmore JM, Stumbo PJ: Patterns of beverage consumption during the transition stage of infant nutrition. J Am Diet Assoc. 2003, 103: 1350-1353. 10.1016/S0002-8223(03)01078-2.PubMedGoogle Scholar
- Fiorito LM, Marini M, Francis LA, Smiciklas-Wright H, Birch LL: Beverage intake of girls at age 5 y predicts adiposity and weight status in childhood and adolescence. Am J Clin Nutr. 2009, 90: 935-942. 10.3945/ajcn.2009.27623.PubMedPubMed CentralGoogle Scholar
- Pate RR, Baranowski T, Dowda M, Trost SG: Tracking of physical activity in young children. Med Sci Sports Exerc. 1996, 28: 92-96.PubMedGoogle Scholar
- Reilly JJ, Jackson DM, Montgomery C, Kelly LA, Slater C, Grant S, Paton JY: Total energy expenditure and physical activity in young Scottish children: mixed longitudinal study. Lancet. 2004, 363: 211-212. 10.1016/S0140-6736(03)15331-7.PubMedGoogle Scholar
- Reilly JJ, Armstrong J, Dorosty AR: Early life risk factors for obesity in childhood: cohort study. BMJ. 2005, 330: 1357-10.1136/bmj.38470.670903.E0.PubMedPubMed CentralGoogle Scholar
- American Academy of Pediatrics: Task force on Sudden Infant Death Syndrome. The changing concept of sudden infant death syndrome: diagnostic coding shifts, controversies regarding the sleeping environment, and new variables to consider in reducing risk. Pediatrics. 2005, 116: 1245-1255.Google Scholar
- Jennings JT, Sarbaugh BG, Payne NS: Conveying the message about optimal infant positions. Phys Occupat Therapy Pediatr. 2006, 25: 3-18.Google Scholar
- Media use by children younger than 2 years. Pediatrics. 2011, 128: 1040-1045.
- Vandewater EA, Rideout VJ, Wartella EA, Huang X, Lee JH, Shim MS: Digital childhood: electronic media and technology use among infants, toddlers, and preschoolers. Pediatrics. 2007, 119: e1006-1015. 10.1542/peds.2006-1804.PubMedGoogle Scholar
- Zimmerman FJ, Christakis DA, Meltzoff AN: Television and DVD/video viewing in children younger than 2 years. Arch Pediatr Adolesc Med. 2007, 161: 473-479. 10.1001/archpedi.161.5.473.PubMedGoogle Scholar
- Thompson DA, Christakis DA: The association between television viewing and irregular sleep schedules among children less than 3 years of age. Pediatrics. 2005, 116: 851-856. 10.1542/peds.2004-2788.PubMedGoogle Scholar
- Manios Y, Kondaki K, Kourlaba G, Grammatikaki E, Birbilis M, Ioannou E: Television viewing and food habits in toddlers and preschoolers in Greece: the GENESIS study. Eur J Pediatr. 2009, 168: 801-808. 10.1007/s00431-008-0838-3.PubMedGoogle Scholar
- Tomopoulous S, Dreyer BP, Berkule S, Fierman AH, Brockmeyer C, Mendelsohn AL: Infant media exposure and toddler development. Arch Pediatr Adolesc Med. 2010, 164: 1105-1011. 10.1001/archpediatrics.2010.235.Google Scholar
- Dennison BA, Erb TA, Jenkins PL: Television viewing and television in bedroom associated with overweight risk among low-income preschool children. Pediatrics. 2002, 109: 1028-1035. 10.1542/peds.109.6.1028.PubMedGoogle Scholar
- Dennison BA, Russo TJ, Burdick PA, Jenkins PL: An intervention to reduce television viewing by preschool children. Arch Pediatr Adolesc Med. 2004, 158: 170-176. 10.1001/archpedi.158.2.170.PubMedGoogle Scholar
- Whaley SE, McGregor S, Jiang L, Gomez J, Harrison G, Jenks E: A WIC-based intervention to prevent early childhood overweight. J Nutr Educ Behav. 2010, 42: S47-51. 10.1016/j.jneb.2010.02.010.PubMedGoogle Scholar
- Galland BC, Taylor BJ, Elder DE, Herbison P: Normal sleep patterns in infants and children: a systematic review of observational studies. Sleep Med Rev. 2011, doi: 10.1016/j.smrv.2011.06.001Google Scholar
- Goodlin-Jones BL, Anders TF: Relationship disturbances and parent-child therapy. Sleep problems. Child Adolesc Psychiatr Clin N Am. 2001, 10: 487-499.PubMedGoogle Scholar
- Landhuis CE, Poulton R, Welch D, Hancox RJ: childhood sleep time and long-term risk for obesity: a 32-year prospective birth cohort study. Pediatrics. 2008, 122: 955-960. 10.1542/peds.2007-3521.PubMedGoogle Scholar
- Carter PJ, Taylor BJ, Williams SM, Taylor RW: A longitudinal analysis of sleep in relation to BMI and body fat in children: the FLAME study. BMJ. 2011, 342: d2717-10.1136/bmj.d2717.Google Scholar
- Thorleifsdottir B, Bjornsson JK, Benediktsdottir B, Gislason T, Kristbjarnarson H: Sleep and sleep habits from childhood to young adulthood over a 10-year period. J Psychosom Res. 2002, 53: 529-537. 10.1016/S0022-3999(02)00444-0.PubMedGoogle Scholar
- Iglowstein I, Jenni OG, Molinari L, Largo RH: Sleep duration from infancy to adolescence: reference values and generational trends. Pediatrics. 2003, 111: 302-307. 10.1542/peds.111.2.302.PubMedGoogle Scholar
- Wake M, Morton-Allen E, Poulakis Z, Hiscock H, Gallagher S, Oberklaid F: Prevalence, stability, and outcomes of cry-fuss and sleep problems in the first 2 years of life: prospective community-based study. Pediatrics. 2006, 117: 836-842. 10.1542/peds.2005-0775.PubMedGoogle Scholar
- Touchette E, Petit D, Paquet J, Boivin M, Japel C, Tremblay RE, Montplaisir JY: Factors associated with fragmented sleep at night across early childhood. Arch Pediatr Adolesc Med. 2005, 159: 242-249. 10.1001/archpedi.159.3.242.PubMedGoogle Scholar
- Tauman R, Levine A, Avni H, Nehama H, Greenfeld M, Sivan Y: Coexistence of sleep and feeding disturbances in young children. Pediatrics. 2011, 127: e615-621. 10.1542/peds.2010-2309.PubMedGoogle Scholar
- Owens LJ, France KG, Wiggs L: Behavioural and cognitive-behavioural interventions for sleep disorders in infants and children: a review. Sleep Med Rev. 1999, 3: 281-302. 10.1053/smrv.1999.0082.PubMedGoogle Scholar
- Hiscock H, Wake M: Randomised controlled trial of behavioural infant sleep intervention to improve infant sleep and maternal mood. BMJ. 2002, 324: 1062-1065. 10.1136/bmj.324.7345.1062.PubMedPubMed CentralGoogle Scholar
- Wake M, Price A, Clifford S, Ukoumunne OC, Hiscock H: Does an intervention that improves infant sleep also improve overweight at age 6? Follow-up of a randomised trial. Arch Dis Child. 2011, 96: 526-532. 10.1136/adc.2010.196832.PubMedGoogle Scholar
- Paul IM, Savage JS, Anzman SL, Beiler JS, Marini ME, Stokes JL, Birch LL: Preventing obesity during infancy: a pilot study. Obesity (Silver Spring). 2011, 19: 353-361. 10.1038/oby.2010.182.Google Scholar
- Zhao J, Bradfield JP, Zhang H, Sleiman PM, Kim CE, Glessner JT, Deliard S, Thomas KA, Frackelton EC, Li M, et al: Role of BMI-Associated Loci Identified in GWAS Meta-Analyses in the Context of Common Childhood Obesity in European Americans. Obesity (Silver Spring). 2011, 19: 2436-2439. 10.1038/oby.2011.237.Google Scholar
- Wardle J, Llewellyn C, Sanderson S, Plomin R: The FTO gene and measured food intake in children. Int J Obes. 2009, 33: 42-45. 10.1038/ijo.2008.174.Google Scholar
- Baumrind D: Current patterns of parental authority. Dev Psychol. 1971, 4 (1, Pt.2): 1-103.Google Scholar
- Straus MA, Donnelly DA: Beating the Devil Out of Them: Corporal Punishment in American Families. 1994, New York: Lexington BooksGoogle Scholar
- Socolar RR, Stein RE: Spanking infants and toddlers: maternal belief and practice. Pediatrics. 1995, 95: 105-111.PubMedGoogle Scholar
- Vittrup B, Holden GW, Buck J: Attitudes predict the use of physical punishment: a prospective study of the emergence of disciplinary practices. Pediatrics. 2006, 117: 2055-2064. 10.1542/peds.2005-2204.PubMedGoogle Scholar
- Berlin LJ, Ispa JM, Fine MA, Malone PS, Brooks-Gunn J, Brady-Smith C, Ayoub C, Bai Y: Correlates and consequences of spanking and verbal punishment for low-income white, african american, and mexican american toddlers. Child Dev. 2009, 80: 1403-1420. 10.1111/j.1467-8624.2009.01341.x.PubMedPubMed CentralGoogle Scholar
- Regalado M, Sareen H, Inkelas M, Wissow LS, Halfon N: Parents' discipline of young children: results from the National Survey of Early Childhood Health. Pediatrics. 2004, 113: 1952-1958.PubMedGoogle Scholar
- Guidance for effective discipline. American Academy of Pediatrics. Committee on Psychosocial Aspects of Child and Family Health. Pediatrics. 1998, 101: 723-728.
- Wen LM, De Domenico M, Elliott D, Bindon J, Rissel C: Evaluation of a feasibility study addressing risk factors for childhood obesity through home visits. J Paediatr Child Health. 2009, 45: 577-581. 10.1111/j.1440-1754.2009.01568.x.PubMedGoogle Scholar
- Salmond C, Crampton P, Atkinson J: NZDep2006 Index of Deprivation. Book NZDep2006 Index of Deprivation. 2007, City: University of OtagoGoogle Scholar
- Prevention of Pediatric Overweight and Obesity. Pediatrics. 2003, 112: 424-430.
- Ramchandani P, Wiggs L, Webb V, Stores G: A systematic review of treatments for settling problems and night waking in young children. BMJ. 2000, 320: 209-213. 10.1136/bmj.320.7229.209.PubMedPubMed CentralGoogle Scholar
- de Onis M, Onyango AW, Van den Broeck J, Chumlea WC, Martorell R: Measurement and standardization protocols for anthropometry used in the construction of a new international growth reference. Food Nutr Bull. 2004, 25: S27-36.PubMedGoogle Scholar
- Musher-Eizenman D, Holub S: Comprehensive feeding practices questionnaire: validation of a new measure of parental feeding practices. J Pediatr Psychol. 2007, 32: 960-972. 10.1093/jpepsy/jsm037.PubMedGoogle Scholar
- Hughes SO, Power TG, Orlet Fisher J, Mueller S, Nicklas TA: Revisiting a neglected construct: parenting styles in a child-feeding context. Appetite. 2005, 44: 83-92. 10.1016/j.appet.2004.08.007.PubMedGoogle Scholar
- Moy KL, Scragg RK, McLean G, Carr H: The New Zealand physical activity questionnaires: validation by heart-rate monitoring in a multiethnic population. J Phys Act Health. 2008, 5 (Suppl 1): S45-61.PubMedGoogle Scholar
- Maddison R, Ni Mhurchu C, Jiang Y, Vander Hoorn S, Rodgers A, Lawes CM, Rush E: International Physical Activity Questionnaire (IPAQ) and New Zealand Physical Activity Questionnaire (NZPAQ): a doubly labelled water validation. Int J Behav Nutr Phys Act. 2007, 4: 62-10.1186/1479-5868-4-62.PubMedPubMed CentralGoogle Scholar
- Wijnhoven TM, de Onis M, Onyango AW, Wang T, Bjoerneboe GE, Bhandari N, Lartey A, al Rashidi B: Assessment of gross motor development in the WHO Multicentre Growth Reference Study. Food Nutr Bull. 2004, 25: S37-45.PubMedGoogle Scholar
- Squires J, Bricker D, Potter L: Revision of a parent-completed development screening tool: ages and stages questionnaires. J Pediatr Psychol. 1997, 22: 313-328. 10.1093/jpepsy/22.3.313.PubMedGoogle Scholar
- Sadeh A: A brief screening questionnaire for infant sleep problems: validation and findings for an internet sample. Pediatrics. 2004, 113: e570-e577. 10.1542/peds.113.6.e570.PubMedGoogle Scholar
- Owens JA, Spirito A, McGuinn M: The Children's Sleep Habits Questionnaire (CSHQ): psychometric properties of a survey instrument for school-aged children. Sleep. 2000, 23: 1043-1051.PubMedGoogle Scholar
- Michielsen HJ, De Vries J, Van Heck GL: Psychometric qualities of a brief self-rated fatigue measure: the fatigue assessment scale. J Psychosom Res. 2003, 54: 345-352. 10.1016/S0022-3999(02)00392-6.PubMedGoogle Scholar
- Pfeiffer KA, McIver KL, Dowda M, Almeida MJ, Pate RR: Validation and calibration of the Actical accelerometer in preschool children. Med Sci Sports Exerc. 2006, 38: 152-157. 10.1249/01.mss.0000183219.44127.e7.PubMedGoogle Scholar
- Studies AIoF: The Longitudinal Study of Australian Children: 2005-06 Annual Report. Book The Longitudinal Study of Australian Children: 2005-06 Annual Report. 2006, City: Australian Institute of Family StudiesGoogle Scholar
- Loyd BH, Abidin RR: Revision of the Parenting Stress Index. J Pediatr Psychol. 1985, 10: 169-177. 10.1093/jpepsy/10.2.169.PubMedGoogle Scholar
- Matheny AP, Wachs TD, Ludwig JL, Philips K: Bringing order out of chaos: psychometric characteristics of the confusion, hubbub, and order scale. J Appl Dev Psychol. 1995, 16: 429-444. 10.1016/0193-3973(95)90028-4.Google Scholar
- Hoffman L, Marquis J, Poston D, Summers JA, Turnbull AP: Assessing family outcomes: psychometric evaluation of the beach center family quality of life scale. J Marriage Fam. 2006, 68: 1069-1083. 10.1111/j.1741-3737.2006.00314.x.Google Scholar
- Cox JL, Holden JM, Sagovsky R: Detection of postnatal depression. Development of the 10-item Edinburgh Postnatal Depression Scale. Br J Psychiatry. 1987, 150: 782-786. 10.1192/bjp.150.6.782.PubMedGoogle Scholar
- Matthey S, Barnett B, Kavanagh DJ, Howie P: Validation of the Edinburgh Postnatal Depression Scale for men, and comparison of item endorsement with their partners. J Affect Disord. 2001, 64: 175-184. 10.1016/S0165-0327(00)00236-6.PubMedGoogle Scholar
- Lovibond SH, Lovibond PF: Manual for the Depression Anxiety Stress Scales. 1995, Sydney: Psychology Foundation, 2Google Scholar
- Rowe DC, Plomin R: Temperament in early childhood. J Pers Assess. 1977, 41: 150-156. 10.1207/s15327752jpa4102_5.PubMedGoogle Scholar
- Daniels LA, Magarey A, Battistutta D, Nicholson JM, 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: 387-10.1186/1471-2458-9-387.PubMedPubMed CentralGoogle Scholar
- Wen LM, Baur LA, Rissel C, Wardle K, Alperstein G, Simpson JM: Early intervention of multiple home visits to prevent childhood obesity in a disadvantaged population: a home-based randomised controlled trial (Healthy Beginnings Trial). BMC Public Health. 2007, 7: 76-10.1186/1471-2458-7-76.PubMedPubMed CentralGoogle Scholar
- Campbell K, Hesketh K, Crawford D, Salmon J, Ball K, McCallum Z: The Infant Feeding Activity and Nutrition Trial (INFANT) an early intervention to prevent childhood obesity: cluster-randomised controlled trial. BMC Public Health. 2008, 8: 103-10.1186/1471-2458-8-103.PubMedPubMed CentralGoogle Scholar
- Askie LM, Baur LA, Campbell K, Daniels L, Hesketh K, Magarey A, Mihrshahi S, Rissel C, Simes J, Taylor B, et al: The Early Prevention of Obesity in CHildren (EPOCH) Collaboration -- an individual patient data prospective meta-analysis. BMC Public Health. 2010, 10: 728-PubMedPubMed CentralGoogle Scholar
- Cizza G, Marincola P, Mattingly M, Williams L, Mitler M, Skarulis M, Csako G: Treatment of obesity with extension of sleep duration: a randomized, prospective, controlled trial. Clinical trials. 2010, 7: 274-285. 10.1177/1740774510368298.PubMedPubMed CentralGoogle Scholar
- Nedeltcheva AV, Kilkus JM, Imperial J, Schoeller DA, Penev PD: Insufficient sleep undermines dietary efforts to reduce adiposity. Ann Intern Med. 2010, 153: 435-441.PubMedPubMed CentralGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2458/11/942/prepub