Physical activity and circulating inflammatory markers and cytokines during pregnancy: A population-based cohort study.

INTRODUCTION: Physical activity (PA) during pregnancy has numerous benefits, which may be mediated via effects on the immune system. However, supportive evidence is inconsistent and is mainly from studies in high-risk groups. We estimated the effect of PA during pregnancy on systemic inflammatory markers and cytokines in mothers recruited in the Barwon infant study. MATERIAL AND METHODS: The Barwon infant study is a prebirth cohort of 1064 mothers recruited in the Barwon Region of Victoria, Australia. Participants reported their previous week's PA at their 28-week antenatal appointment using the International PA Questionnaire. Women were grouped into low, moderate, and high PA categories based on daily duration and weekly frequency of walking, moderate- or vigorous-intensity PA. Women reporting moderate levels of PA, consistent with current recommendations, served as the comparison group. Markers of systemic inflammation, high-sensitivity C-reactive protein (hsCRP), glycoprotein acetyls (GlycA), and 17 cytokines were measured at 28 weeks gestation and log transformed as appropriate. Regression analyses adjusted for maternal smoking, gestational diabetes mellitus, prepregnancy BMI, and household size were performed. RESULTS: Compared to women in the moderate group (n = 371, 42%), women reporting low PA (n = 436, 50%) had 10.1% higher hsCRP (95% CI (3.7% to 16.6%), p < 0.01) while women in high PA (n = 76, 9%) had a 14% higher hsCRP (95% CI (3.1% to 24.8%), p = 0.01). Women in the high PA category had higher interleukin (IL)-4 (q = 0.03) and IL-9 (q = 0.03) levels compared to those in moderate category. Each vigorous MET minute/week was associated with lower GlycA (ß = -0.004, 95% CI (-0.044 to 0.035); p = 0.03). CONCLUSIONS: Low and high PA are each associated with higher hsCRP than moderate PA, suggesting that undertaking the recommended moderate PA during pregnancy decreases systemic inflammation. High PA affects T cell-associated cytokines during pregnancy. Evidence from our study suggests that PA can modulate the immune responses during pregnancy. Studies are now required to assess whether PA during pregnancy impacts maternal and infant clinical outcomes by modifying inflammatory responses.

Are physical activity and sleep associated with emotional self-regulation in toddlers? a cross-sectional study.

BACKGROUND: Toddlerhood (2-3 years) is a crucial period for the development of physical activity, sleep, and emotional self-regulation skills. Although there is growing evidence of positive associations between physical activity, sleep, and emotional self-regulation in school-aged children, the associations in toddlers remain unclear. Thus, this study aimed to examine the association between physical activity, sleep, and emotional self-regulation in toddlers. METHODS: Baseline data from 1350 toddlers (2.2 ± 0.33 year) from the Let's Grow randomised controlled trial were used. Toddlers' total physical activity (TPA) and moderate- to vigorous-intensity physical activity (MVPA) were assessed via 4 + days of accelerometry and a 3-item parent-report scale. Parent-reported total sleep quantity was calculated using the sum of average night-time sleep and daytime nap durations. Sleep behaviour data including bedtime routine, bedtime resistance, sleep onset-delay, sleep duration, and night waking were collected using relevant subsections from the Child Sleep Habits Questionnaire (CSHQ) and Brief Infant Sleep Questionnaire revised (BISQ-R). A 4-item parent-report scale adapted from the Fast Track Project Child Behaviour Questionnaire was used to assess toddlers' emotional self-regulation. Linear regression models were used, adjusting for child age, sex, and parental education. RESULTS: Accelerometer-derived TPA, MVPA and parent-reported TPA were not associated with emotional self-regulation. Higher parent-reported MVPA (B = -0.01 CI95 -0.03, -0.003) was associated with poorer emotional self-regulation. Higher sleep duration was associated with better emotional self-regulation (B = 0.06 CI95 0.04, 0.08). The five sleep behaviours assessed were also positively associated with emotional self-regulation (all p < 0.01), with fewer problem sleep behaviours being associated with better emotional self-regulation. CONCLUSIONS: This cross-sectional study suggests that sleep may be important for emotional self-regulation in toddlers, but the role of physical activity remains unclear. These findings suggest that interventions targeting sleep duration and sleep behaviours during the early toddler years may benefit the positive development of emotional self-regulation skills in this population.

Prevalence of toddlers meeting 24-hour movement guidelines and associations with parental perceptions and practices.

OBJECTIVES: Whether toddlers (1-2 years) meet 24-hour Movement Guidelines and how parental practices and perceptions are related to compliance are uncertain. This study: a) estimated the proportion of toddlers meeting individual and combined movement guidelines; and b) examined associations between parental perceptions/practices and toddlers' compliance with movement guidelines. DESIGN: Cross-sectional study. METHODS: Australian parents self-reported their parenting practices/perceptions (routines, co-participation, restrictions, concerns, knowledge) and toddlers' movement behaviours in the baseline assessment of Let's Grow (n=1145), a randomised controlled trial. The World Health Organization's Guidelines on Physical Activity, Sedentary Behaviour, and Sleep for children under 5 years were used to estimate the prevalence of compliance with individual and combined movement guidelines. Logistic models assessed cross-sectional associations. RESULTS: The prevalence of meeting guidelines was 30.9% for screen time, 82.3% for sleep, 81.6% for physical activity, 20.1% for combined, and 2.1% meeting none. Parents' knowledge of the guidelines, fewer concerns and more favourable restrictions concerning movement behaviours were associated with greater compliance with individual and combined movement guidelines. Routines for screen time and for combined behaviours were associated with adherence to their respective guidelines. Less co-participation in screen time and more co-participation in physical activity were associated with greater compliance with the relevant guidelines. CONCLUSIONS: Given only 20% of toddlers met all guidelines, strategies early in life to establish healthy movement behaviours, especially screen time, are needed. Future studies could target the parental practices/perceptions identified in this study to support toddlers with optimal sleep and physical activity and reduced screen time.

Association between physical activity and self-regulation in early childhood: A systematic review.

Physical activity and self-regulation are important predictors of pediatric overweight and obesity. Young children (0-5 years) with lower physical activity levels and poorer self-regulation skills are at greater risk for overweight. Despite growing evidence that the two constructs are interrelated, their association remains unclear in young children. This review systematically summarized associations between physical activity and self-regulation in early childhood and explored the directionality of associations. Searches were run in six electronic databases. Forty-seven papers met inclusion criteria. Only three studies investigated all three domains of self-regulation (behavioral, cognitive, and emotional). Overall, findings were inconclusive; studies reported weak to moderate positive associations (n = 17), inverse associations (n = 5), mixed associations (n = 15), null association (n = 2), and negative (n = 1) between physical activity and self-regulation. Compared with the emotional and cognitive domains, physical activity was most consistently positively associated with behavioral self-regulation. Only one study assessed bidirectional associations, reporting a positive association. The three studies that included global self-regulation showed contradicting findings. There is some evidence that physical activity dose and sex potentially confound these associations; however, further research is needed given the paucity of studies. This review highlights the need for more in-depth investigation of the complex association between physical activity and global self-regulation.

Cross-sectional and prospective associations between behavioural patterns and adiposity in school-aged children.

OBJECTIVE: Behavioural patterns are important in understanding the synergistic effect of multiple health behaviours on childhood adiposity. Most previous evidence assessing associations between patterns and adiposity were cross-sectional and investigated two or three behaviour domains within patterns. This study aimed to identify behavioural patterns comprising four behaviour domains and investigate associations with adiposity risk in children. DESIGN: Parent-report and accelerometry data were used to capture daily dietary, physical activity, sedentary behaviour and sleep data. Variables were standardised and included in the latent profile analysis to derive behavioural patterns. Trained researchers measured children's height, weight and waist circumference using standardised protocols. Associations of patterns and adiposity measures were tested using multiple linear regression. SETTING: Melbourne, Australia. PARTICIPANTS: A total of 337 children followed up at 6-8 years (T2) and 9-11 years (T3). RESULTS: Three patterns derived at 6-8 years were broadly identified to be healthy, unhealthy and mixed patterns. Patterns at 9-11 years were dissimilar except for the unhealthy pattern. Individual behaviours characterising the patterns varied over time. No significant cross-sectional or prospective associations were observed with adiposity at both time points; however, children displaying the unhealthy pattern had higher adiposity measures than other patterns. CONCLUSION: Three non-identical patterns were identified at 6-8 and 9-11 years. The individual behaviours that characterised patterns (dominant behaviours) at both ages are possible drivers of the patterns obtained and could explain the lack of associations with adiposity. Identifying individual behaviour pattern drivers and strategic intervention are key to maintain and prevent the decline of healthy patterns.

Outdoor time, screen time and sleep reported across early childhood: concurrent trajectories and maternal predictors.

BACKGROUND: Understanding the developmental trajectories of outdoor time, screen time and sleep is necessary to inform early interventions that promote healthy behaviours. This study aimed to describe concurrent trajectories of outdoor time, screen time and sleep across the early childhood period and their maternal predictors. METHODS: Data across five time points at child age 4, 9, 19, 42 and 60 months from the INFANT intervention were analysed. Mothers reported their child's usual outdoor time, screen time and sleep duration, in addition to a range of maternal beliefs, attitudes, expectations and behaviours. Group-based multi-trajectory modelling was used to model concurrent trajectories of children's behaviours. Multinomial logistic regression models determined the associations of maternal predictors with trajectory groups, adjusting for child sex and baseline age, intervention allocation, and clustering by recruitment. RESULTS: Of the 542 children recruited, 528 had data for outdoor time, screen time and sleep at one or more time points and were included in trajectory analyses Four trajectories were identified: 'unstable sleep, increasing outdoor time, low screen' (~ 22% of sample), 'high outdoor time, low screen, high sleep' (~ 24%), 'high sleep, increasing outdoor time, low screen' (~ 45%), 'high screen, increasing outdoor time, high sleep' (~ 10%). The 'high sleep, increasing outdoor time, low screen' group, comprising the largest percentage of the sample, demonstrated the healthiest behaviours. Predictors of group membership included: views of physically active children, screen time knowledge, screen time use, self-efficacy, physical activity optimism, future expectations for children's physical activity and screen time, perceptions of floor play safety, and maternal physical activity, screen time, and sleep quality. CONCLUSIONS: Four distinct trajectories of outdoor time, screen time and sleep were identified, with the most common (and healthiest) characterized by high levels of sleep. Maternal beliefs, attitudes, expectations and behaviours are important in the development of movement behaviour trajectories across early childhood. Future interventions and public policy may benefit from targeting these factors to support healthy movement behaviours from a young age.

"Everything kind of revolves around technology": a qualitative exploration of families' screen use experiences, and intervention suggestions.

BACKGROUND: Managing children's screen time is challenging for most families. Interventions have had limited success in reducing screen time, potentially due to a lack of understanding of the experiences, needs and recommendations of families. This study aimed to 1) understand the screen time experiences of families, particularly during COVID-19 lockdowns; and 2) explore parent and child suggestions for the design, components, and content of a screen time management program. METHODS: Parents and children from 30 families living in Victoria, Australia completed a semi-structured interview (63 interviews) via Zoom in October-November 2021. Parents were maged 40.8 (± 8.9) years and predominantly female (90%). Children were maged 11.4 (± 2.4) years and 47% female. The interviews were audio recorded, transcribed verbatim and analysed using inductive thematic analysis combined with a summative content analysis approach. RESULTS: Three themes under Aim 1 emerged. Theme 1) 'Screen time management experiences and practices', including rules and strategies, challenges, and the impact of COVID-19 lockdowns. Theme 2) 'Impact of screens on family interaction and communication' including conflicts within the family, reduced face-to-face interactions, and negative impact on child's behaviour and wellbeing. Theme 3) 'Benefits of increased screen time due to COVID-19 lockdowns' including continuation of social interactions, extracurricular activities, improved technology skills and using screens as a 'babysitter'. Findings from Aim 2 suggest that families want a screen time management program delivered online to parents and children, which includes static and interactive content that incorporates health information, alternative activities, cyber-safety information, tips for goal setting and rewards, screen monitoring tools, links to reputable information, and parent social connections. Reminders via text message or through the online platform would help maintain engagement in the program. CONCLUSIONS: Families are experiencing challenges in managing the complex balance between the increased need for screens and the impact it has on the family. These findings provide valuable parent and child insights to assist in developing screen time management programs that are created with an understanding of the needs and challenges of families.

Protocol for the Let's Grow randomised controlled trial: examining efficacy, cost-effectiveness and scalability of a m-Health intervention for movement behaviours in toddlers.

INTRODUCTION: Despite being an important period for the development of movement behaviours (physical activity, sedentary behaviour and sleep), few interventions commencing prior to preschool have been trialled. The primary aim of this trial is to assess the 12-month efficacy of the Let's Grow mHealth intervention, designed to improve the composition of movement behaviours in children from 2 years of age. Let's Grow is novel in considering composition of movement behaviours as the primary outcome, using non-linear dynamical approaches for intervention delivery, and incorporating planning for real-world implementation and scale-up from its inception. METHODS AND ANALYSIS: A randomised controlled trial will test the effects of the 12-month parental support mHealth intervention, Let's Grow, compared with a control group that will receive usual care plus electronic newsletters on unrelated topics for cohort retention. Let's Grow will be delivered via a purpose-designed mobile web application with linked SMS notifications. Intervention content includes general and movement-behaviour specific parenting advice and incorporates established behaviour change techniques. Intervention adherence will be monitored by app usage data. Data will be collected from participants using 24-hour monitoring of movement behaviours and parent report at baseline (T0), mid-intervention (T1; 6 months post baseline), at intervention conclusion (T2; 12 months post baseline) and 1-year post intervention (T3; 2 years post baseline). The trial aims to recruit 1100 families from across Australia during 2021. In addition to assessment of efficacy, an economic evaluation and prospective scalability evaluation will be conducted. ETHICS AND DISSEMINATION: The study was approved by the Deakin University Human Ethics Committee (2020-077). Study findings will be disseminated through publication in peer-reviewed journals, presentation at scientific and professional conferences, and via social and traditional media. TRIAL REGISTRATION NUMBER: ACTRN12620001280998; U1111-1252-0599.

A comparison of children's diet and movement behaviour patterns derived from three unsupervised multivariate methods.

BACKGROUND: Behavioural patterns are typically derived using unsupervised multivariate methods such as principal component analysis (PCA), latent profile analysis (LPA) and cluster analysis (CA). Comparability and congruence between the patterns derived from these methods has not been previously investigated, thus it's unclear whether patterns from studies using different methods are directly comparable. This study aimed to compare behavioural patterns derived across diet, physical activity, sedentary behaviour and sleep domains, using PCA, LPA and CA in a single dataset. METHODS: Parent-report and accelerometry data from the second wave (2011/12; child age 6-8y, n = 432) of the HAPPY cohort study (Melbourne, Australia) were used to derive behavioural patterns using PCA, LPA and CA. Standardized variables assessing diet (intake of fruit, vegetable, sweet, and savoury discretionary items), physical activity (moderate- to vigorous-intensity physical activity [MVPA] from accelerometry, organised sport duration and outdoor playtime from parent report), sedentary behaviour (sedentary time from accelerometry, screen time, videogames and quiet playtime from parent report) and sleep (daily sleep duration) were included in the analyses. For each method, commonly used criteria for pattern retention were applied. RESULTS: PCA produced four patterns whereas LPA and CA each generated three patterns. Despite the number and characterisation of the behavioural patterns derived being non-identical, each method identified a healthy, unhealthy and a mixed pattern. Three common underlying themes emerged across the methods for each type of pattern: (i) High fruit and vegetable intake and high outdoor play ("healthy"); (ii) poor diet (either low fruit and vegetable intake or high discretionary food intake) and high sedentary behaviour ("unhealthy"); and (iii) high MVPA, poor diet (as defined above) and low sedentary time ("mixed"). CONCLUSION: Within this sample, despite differences in the number of patterns derived by each method, a good degree of concordance across pattern characteristics was seen between the methods. Differences between patterns could be attributable to the underpinning statistical technique of each method. Therefore, acknowledging the differences between the methods and ensuring thorough documentation of the pattern derivation analyses is essential to inform comparison of patterns derived through a range of approaches across studies.

The reliability and validity of a physical activity and sedentary behaviour home audit tool for children aged 2-5 years.

OBJECTIVES: To test the reliability and validity of a physical activity and sedentary behaviour home environment audit tool for young children (2-5 years old). DESIGN: Cross-sectional. METHODS: Parents of children aged 2-5 years were recruited through online methods (i.e., social media and blogs). Reliability of the SPACES home audit tool was assessed using self-reported surveys (n = 55) completed on two separate occasions, approximately 12 days apart. Validity of the home audit tool was assessed in a separate sample via home observations by researchers conducted after parents completed the self-report survey (n = 21). The audit tool measured indoor and outdoor home environment characteristics hypothesised to influence young children's physical activity and sedentary behaviour. Data were analysed using intraclass correlations (ICCs) and Kappas. RESULTS: The majority of items demonstrated acceptable reliability and validity (80.4% and 53.4%, respectively). Size of the child's bedroom showed substantial agreement for reliability (ICC = 0.85), and slight agreement for validity (ICC = 0.23). Physical activity equipment items within the indoor environment showed slight to moderate agreement for reliability (ICC = 0.32-0.68) and slight agreement for validity (ICC = 0.15-0.35). Screen time equipment showed substantial agreement for reliability (ICC = 0.83) and fair for validity (ICC = 0.38). Outdoor items (e.g., backyard size, availability and condition of physical activity equipment, outdoor features) showed substantial agreement for reliability and validity (ICC = 0.84-0.95). CONCLUSIONS: The home audit tool was found to be reliable and valid for many items. This tool could be used in future research to understand the impact of the home environment on young children's physical activity and sedentary behaviour.

A systematic review of economic evaluations of web-based or telephone-delivered interventions for preventing overweight and obesity and/or improving obesity-related behaviors.

Obesity prevention interventions with behavioral or lifestyle-related components delivered via web-based or telephone technologies have been reported as comparatively low cost as compared with other intervention delivery modes, yet to date, no synthesized evidence of cost-effectiveness has been published. This study aimed to conduct a systematic review of economic evaluations of obesity prevention interventions with a telehealth or eHealth intervention component. A systematic search of six academic databases was conducted through October 2020. Studies were included if they reported full economic evaluations of interventions aimed at preventing overweight or obesity, or interventions aimed at improving obesity-related behaviors, with at least one intervention component delivered by telephone (telehealth) or web-based technology (eHealth). Findings were reported narratively, based on the Consolidated Health Economic Evaluation Reporting Standards. Twenty-seven economic evaluations were included from 20 studies meeting the inclusion criteria. Sixteen of the included interventions had a telehealth component, whereas 11 had an eHealth component. Seventeen interventions were evaluated using cost-utility analysis, five with cost-effectiveness analysis, and five undertook both cost-effectiveness and cost-utility analyses. Only eight cost-utility analyses reported that the intervention was cost-effective. Comparison of results from cost-effectiveness analyses was limited by heterogeneity in methods and outcome units reported. The evidence supporting the cost-effectiveness of interventions with a telehealth or eHealth delivery component is currently inconclusive. Although obesity prevention telehealth and eHealth interventions are gaining popularity, more evidence is required on their effectiveness and cost-effectiveness.

Volume and accumulation patterns of physical activity and sedentary time: longitudinal changes and tracking from early to late childhood.

BACKGROUND: Physical activity (PA) decreases and sedentary time (SED) increases across childhood, with both behaviours tracking. However, no studies have examined how accumulation patterns of PA and SED (i.e., prolonged bouts, frequency of breaks in sedentary time) change and track over time. The aim of this study was to investigate longitudinal changes in and tracking of total volume and accumulation patterns of SED, light-intensity PA (LPA), moderate-intensity PA (MPA), vigorous-intensity PA (VPA) among boys and girls. METHODS: In 2008/09 (T1), children in HAPPY (3-5y; n = 758) in Melbourne, Australia wore ActiGraph GT1M accelerometers to objectively assess SED, LPA, MPA and VPA. This was repeated at age 6-8y (T2; n = 473) and 9-11y (T3; n = 478). Ten pattern variables were computed: bouts of ≥ 5-, ≥ 10-, ≥ 15- and ≥ 20-min for SED, ≥ 1- and ≥ 5-min for LPA, ≥ 1-min for MPA, ≥ 1- and ≥ 5-min for VPA, and breaks in SED (interruptions of > 25 counts 15 s- 1). Longitudinal mixed models examined changes from T1-3, controlling for T1 age. Generalized estimating equations assessed tracking over the three time points, controlling for T1 age and time between measurements. Analyses were stratified by sex. RESULTS: Total volume and bouts of SED and SED breaks increased, while total volume and bouts of LPA decreased for both sexes. There was a small decrease in total volume of MPA for girls, but time spent in ≥ 1-min bouts increased for both sexes. Total volume of VPA increased for both sexes, with time spent in ≥ 1-min bouts increasing for boys only. All volume and pattern variables tracked moderately for boys, except for all SED bouts ≥ 15-min, LPA bouts ≥ 5-min and MPA bouts ≥ 1-min (which tracked weakly). For girls, total SED and SED bouts ≥ 1-min tracked strongly, total volume of LPA, MPA and VPA, ≥ 5- and ≥ 10-min SED bouts, and ≥ 1-min LPA and MPA bouts tracked moderately, and SED breaks, all SED bouts ≥ 15 min, LPA bouts ≥ 5 min and all VPA bouts tracked weakly. CONCLUSIONS: Patterns of SED and PA change from early to late childhood; with the exception of SED breaks and VPA, changes were detrimental. Total volumes and short bouts tended to track more strongly than longer bouts. Interventions to prevent declines in PA and increases in SED are important from early in life.

Nighttime sleep duration trajectories were associated with body mass index trajectories in early childhood.

BACKGROUND: The respective contribution of total, daytime and nighttime sleep duration in childhood obesity remains unclear. OBJECTIVES: To assess the longitudinal association between developmental trajectories of sleep duration and BMI z-score in early childhood. METHODS: Data were from the Melbourne INFANT program, a prospective cohort with 4-month-old infants being followed-up until age 60 months (n = 528). Sleep duration (total, daytime, nighttime) and BMI z-score were measured using questionnaire at ages 4, 9, 18, 43 and 60 months. Group-based trajectory modelling was used to describe longitudinal trajectories from ages 4 to 60 months. Multivariable logistic regression was conducted to assess the association between sleep duration and BMI z-score trajectories. RESULTS: Three nighttime sleep duration trajectory groups were identified: "Long stable" (10.5 to 11.0 hours, 61%), "catchup long" (8.0 to 11.5 hours, 23%) and "short stable" (8.7 to 9.8 hours, 16%) nighttime sleepers. BMI z-score trajectory groups were classified as "low-BMIz" (-1.5 to -0.5 unit, 21%), "mid-BMIz" (-0.5 to 0.5 unit, 58%) and "high-BMIz" (0.8 to 1.4 unit, 21%). With adjustment for child and maternal covariates, both "catchup long" (OR 3.69 95%CI 1.74, 7.92) and "long stable" nighttime sleepers (OR 4.27 95%CI 2.21, 8.25) revealed higher odds of being in the "mid-BMIz" than the "high-BMIz" group. By contrast, total or daytime sleep duration trajectories were not associated with BMI z-score trajectories. CONCLUSIONS: Longer nighttime, but not total or daytime, sleep duration was associated with lower BMI z-score trajectories in early childhood. Our findings reinforce the importance of nighttime sleep for healthy body-weight development in early childhood.

Family history of non-communicable diseases and associations with weight and movement behaviours in Australian school-aged children: a prospective study.

OBJECTIVE: To assess differences in weight status and movement behaviour guideline compliance among children aged 5-12 years with and without a family history of non-communicable diseases (NCDs). DESIGN: Prospective. SETTING AND PARTICIPANTS: Women born between 1973 and 1978 were recruited to the Australian Longitudinal Study on Women's Health (ALSWH) via the database of the Health Insurance Commission (now Medicare; Australia's universal health insurance scheme). In 2016-2017, women in that cohort were invited to participate in the Mothers and their Children's Health Study and reported on their three youngest children (aged <13 years). Data from children aged 5-12 years (n=4416) were analysed. MEASURES: Mothers reported their children's height and weight, used to calculate body mass index (kg/m2), physical activity, screen time and sleep. In the 2015 ALSWH Survey, women reported diagnoses and family history of type 2 diabetes, heart disease and hypertension. Logistic regression models determined differences between outcomes for children with and without a family history of NCDs. RESULTS: Boys with a family history of type 2 diabetes had 30% (95% CI: 0.51%-0.97%) and 43% lower odds (95% CI: 0.37%-0.88%) of meeting the sleep and combined guidelines, respectively, and 40% higher odds (95% CI: 1.01%- 1.95%) of being overweight/obese. Girls with a family history of hypertension had 27% lower odds (95% CI: 0.57%-0.93%) of meeting the screen time guidelines. No associations were observed for family history of heart disease. CONCLUSIONS: Children who have a family history of type 2 diabetes and hypertension may be at risk of poorer health behaviours from a young age. Mothers with a diagnosis or a family history of these NCDs may need additional support to help their children develop healthy movement behaviours and maintain healthy weight.

Long-term outcomes (2 and 3.5 years post-intervention) of the INFANT early childhood intervention to improve health behaviors and reduce obesity: cluster randomised controlled trial follow-up.

BACKGROUND: The few health behavior interventions commencing in infancy have shown promising effects. Greater insight into their longer-term benefits is required. This study aimed to assess post-intervention effects of the Melbourne INFANT Program to child age 5y on diet, movement and adiposity. METHODS: Two and 3.5y post-intervention follow-up (2011-13; analyses completed 2019) of participants retained in the Melbourne INFANT Program at its conclusion (child age ~ 19 m; 2008-10) was conducted. The Melbourne INFANT Program is a 15-month, six session program delivered within first-time parent groups in Melbourne, Australia, between child age 4-19 m. It involves strategies to help parents promote healthy diet, physical activity and reduced sedentary behavior in their infants. No intervention was delivered during the follow-up period reported in this paper. At all time points height, weight and waist circumference were measured by researchers, children wore Actigraph and activPAL accelerometers for 8-days, mothers reported children's television viewing and use of health services. Children's dietary intake was reported by mothers in three unscheduled telephone-administered 24-h recalls. RESULTS: Of those retained at program conclusion (child age 18 m, n = 480; 89%), 361 families (75% retention) participated in the first follow-up (2y post-intervention; age 3.6y) and 337 (70% retention) in the second follow-up (3.5y post-intervention; age 5y). At 3.6y children in the intervention group had higher fruit (adjusted mean difference [MD] = 25.34 g; CI95:1.68,48.99), vegetable (MD = 19.41; CI95:3.15,35.67) and water intake (MD = 113.33; CI95:40.42,186.25), than controls. At 5y they consumed less non-core drinks (MD = -27.60; CI95:-54.58,-0.62). Sweet snack intake was lower for intervention children at both 3.6y (MD = -5.70; CI95:-9.75,-1.65) and 5y (MD = -6.84; CI95:-12.47,-1.21). Intervention group children viewed approximately 10 min/day less television than controls at both follow-ups, although the confidence intervals spanned zero (MD = -9.63; CI95:-30.79,11.53; MD = -11.34; CI95:-25.02,2.34, respectively). There was no evidence for effect on zBMI, waist circumference z-score or physical activity. CONCLUSIONS: The impact of this low-dose intervention delivered during infancy was still evident up to school commencement age for several targeted health behaviors but not adiposity. Some of these effects were only observed after the conclusion of the intervention, demonstrating the importance of long-term follow-up of interventions delivered during early childhood. TRIAL REGISTRATION: ISRCTN Register ISRCTN81847050 , registered 7th November 2007.

A systematic review of lifestyle patterns and their association with adiposity in children aged 5-12 years.

Diet, physical activity, sedentary behaviour and sleep are typically examined independently with childhood adiposity; however, their combined influence remains uncertain. This review aims to systematically summarize evidence on the clustering of these behaviours through lifestyle patterns and evaluate associations with adiposity in children aged 5-12 years. Search strategies were run in six databases. Twenty-eight papers met the inclusion criteria, six of which included all four behaviours. A range of lifestyle patterns were identified (healthy, unhealthy and mixed). Mixed patterns were most frequently reported. Unhealthy patterns comprising low physical activity and high sedentary behaviour were also frequently observed. Mixed patterns comprising healthy diets, low physical activity and high sedentary behaviour were more commonly seen in girls, whereas boys were more physically active, similarly sedentary and had unhealthier diets. Children from lower socio-economic backgrounds tended to more frequently display unhealthy patterns. Unhealthy lifestyle patterns were more often associated with adiposity risk than healthy and mixed patterns. With few studies including all four behaviours, it is difficult to establish a clear picture of their interplay and associations with adiposity. Nonetheless, reliance on lifestyle patterns is likely more beneficial than individual behaviours in targeting adiposity and improving understanding of how these behaviours influence health.

Two Approaches to Increase Physical Activity for Preschool Children in Child Care Centers: A Matched-Pair Cluster-Randomized Trial.

Early childhood education settings are critical for promoting physical activity (PA) but intervention effects are often small. The aim of this study was to develop, test, and compare two approaches to increasing physical activity among preschoolers at child care centers: one focused on a teacher-led PA curriculum (Active Play!) and the other on increasing outdoor child-initiated free play time (Outdoor Play!). We conducted a matched-pair cluster-randomized study in 10 centers in and around Seattle, WA, USA (n = 97 children, mean age 4.6). Pre- and post-intervention data were collected from observations and accelerometers. At pre-intervention, 19% of Active Play! and 25% of Outdoor Play! children achieved >120 min/day of PA during child care. The total opportunity for PA increased in both interventions (Active Play! = 11 min/day; Outdoor Play! = 14 min/day), with the largest increase in outdoor child-initiated free playtime (Active Play! = 19 min/day; Outdoor Play! = 24 min/day). No changes in sedentary time, light or moderate- to vigorous-intensity PA (MVPA) were observed in either intervention and there was no difference between interventions in the percentage of children attaining more than 120 min/day of PA. A small (<3 min/day) relative increase in teacher-led outdoor activity was observed in the Active Play! intervention. Both intervention strategies led to an increase in active play opportunities, predominantly outdoors, but neither was able to substantially increase the intensity and/or duration of children's PA. Future studies are needed to better understand and inform sustainable approaches to increase PA in early learning settings.

Sitting and Screen Time Outside School Hours: Correlates in 6- to 8-Year-Old Children.

BACKGROUND: Although there is increasing evidence regarding children's screen time, little is known about children's sitting. This study aimed to determine the correlates of screen time and sitting in 6- to 8-year-old children. METHODS: In 2011-2012, parents in the Healthy Active Preschool and Primary Years (HAPPY) study (n = 498) reported their child's week/weekend day recreational screen time and potential correlates. ActivPALs™ measured children's nonschool sitting. In model 1, linear regression analyses were performed, stratified by sex and week/weekend day and controlling for age, clustered recruitment, and activPAL™ wear time (for sitting analyses). Correlates significantly associated with screen time or sitting (P < .05) were included in model 2. RESULTS: Children (age 7.6 y) spent 99.6 and 119.3 minutes per day on week and weekend days engaging in screen time and sat for 119.3 and 374.6 minutes per day on week and weekend days, respectively. There were no common correlates for the 2 behaviors. Correlates largely differed by sex and week/weekend day. Modifiable correlates of screen time included television in the child's bedroom and parental logistic support for, encouragement of, and coparticipation in screen time. Modifiable correlates of sitting included encouragement of and coparticipation in physical activity and provision of toys/equipment for physical activity. CONCLUSIONS: Interventions may benefit from including a range of strategies to ensure that all identified correlates are targeted.

Feasibility of wearable cameras to assess screen time and time spent restrained in children aged 3 to 5 years: a study protocol.

INTRODUCTION: Wearable cameras may help overcome the limitations of existing tools to measure young children's sedentary behaviour, but their use introduces a range of ethical challenges. The primary aim of this study is to determine the feasibility of using wearable cameras to measure the two aspects of sedentary behaviour currently included in evidence-based guidelines (ie, screen time and time spent restrained). If shown to be feasible, a secondary aim will be to validate subjective measures against the directly measured screen time and time spent restrained. METHODS AND ANALYSIS: A convenience sample (n=20) will be recruited via flyers at the University of Strathclyde and advertisements on online forums for parents of young children (aged 3 to 5 years). Children will be provided with a wearable camera, attached to the front of their clothing with a clip, to be worn for 3 days (2 non-childcare days and 1 weekend day) in non-public settings. Once switched on, the camera will record continuous video footage. Parents will complete an online survey providing their feedback on their own and their child's experience of the wearable camera. They will also report their own and their child's demographical characteristics and their child's usual daily screen time and time spent restrained in the past week. Data will be downloaded using specialised software and second-by-second coding will be undertaken. Feasibility and acceptability will be assessed using percentages and by analysing qualitative data. If feasibility is shown, intraclass coefficients will be used to determine agreement between video data and parent-reported sedentary behaviours. ETHICS AND DISSEMINATION: Ethical approval has been granted by the School of Psychological Sciences and Health Ethics Committee at the University of Strathclyde. Results will be used to inform future studies and will be disseminated in peer-reviewed journals and at major international conferences.