Household chaos during infancy and infant weight status at 12 months

Examining Caregiver- and Family-Level Psychosocial Influences on Child Oral Health Behavioral Outcomes in Racially and Economically Minoritized Urban Families

OBJECTIVES

Understanding the pathways linking caregiver- and family-level psychosocial factors and child oral health behaviors is critical for addressing oral health disparities. The current study examined the associations between caregiver psychosocial functioning and family chaos and child toothbrushing behaviors in children at high risk for poor oral health outcomes.

METHODS

Data were drawn from the baseline wave of the CO-OP Chicago Cohort Study (U01DE030067), a longitudinal study on child/caregiver dyads exploring oral health behaviors and caries development in young children (N = 296 dyads; child mean age = 5.36, SD = 1.03; caregiver mean age = 33.8 years, SD = 6.70; caregiver race = 43% Black; caregiver ethnicity = 55% Latinx). The oral health behavioral outcomes included child toothbrushing frequency, child plaque levels, and caregiver assistance with child toothbrushing. The data included demographics; caregiver depression, anxiety, post-traumatic stress disorder (PTSD) symptoms, social functioning, social support, and resilience; and family-level household chaos.

RESULTS

Multiple regression models indicated that greater household chaos was significantly related to lower caregiver assistance with child toothbrushing (p = 0.0075). Additionally, caregiver anxiety and PTSD symptoms as well as number of children in the home significantly predicted higher levels of household chaos (p < 0.01). Notably, 18% of caregivers reported clinically significant PTSD. The relationships between caregiver-level psychosocial factors and child oral health behaviors were not significant.

CONCLUSIONS

The results suggest household chaos may play an important role in child oral health behaviors and highlight the importance of investigating family-level factors for understanding and addressing child oral health risk.

Household chaos and childhood obesity-related health outcomes

OBJECTIVE

Household chaos, defined as a lack of organization, structure, and predictability, has been linked to deleterious childhood health outcomes and may hinder attempts to initiate and maintain healthy lifestyle changes. This study examined the associations of household chaos and obesity-related health conditions in a sample of youth being treated for obesity.

METHODS

Participants were 715 patients (61.8% girls; Mage = 12.3 years; 68.7% non-Hispanic Black; M% of 95th BMI %-ile = 146.9%) enrolled in a pediatric weight management clinic. Caregiver report of household chaos was measured using the Confusion, Hubbub and Order Scale (CHAOS). Physiological obesity-related comorbidities (e.g., insulin resistance, hypertension, dyslipidemia) were assessed by a medical clinician and abstracted from electronic medical records; health conditions were dichotomized as present or not present. Psychological functioning was measured with the Pediatric Symptom Checklist, a caregiver-completed mental health screen that assesses internalizing, externalizing, and attention concerns.

RESULTS

The Wilcoxon rank-sum test was used to test differences in household chaos scores for each obesity-related health condition. Caregivers of youth diagnosed with hypertension and obstructive sleep apnea reported significantly lower levels of household chaos, while caregivers who reported clinical levels of psychological dysfunction reported higher levels of chaos.

CONCLUSIONS

Traditional management of childhood obesity requires changes across multiple health domains (e.g., dietary, exercise, sleep), and such change may be facilitated by structure and consistency. Present findings suggest that psychological resources within pediatric weight management settings should address individual patient-level factors associated with physiological and mental health as well as household functioning.

Testing a Biobehavioral Model of Chronic Stress and Weight Gain in Young Children (Family Stress Study): Protocol and Baseline Demographics for a Prospective Observational Study

BACKGROUND

Chronic stress is an important risk factor in the development of obesity. While research suggests chronic stress is linked to excess weight gain in children, the biological or behavioral mechanisms are poorly understood.

OBJECTIVE

The objectives of the Family Stress Study are to examine behavioral and biological pathways through which chronic stress exposure (including stress from COVID-19) may be associated with adiposity in young children, and to determine if factors such as child sex, caregiver-child relationship quality, caregiver education, and caregiver self-regulation moderate the association between chronic stress and child adiposity.

METHODS

The Family Stress Study is a prospective cohort study of families recruited from 2 Canadian sites: the University of Guelph in Guelph, Ontario, and McMaster University in Hamilton, Ontario. Participants will be observed for 2 years and were eligible to participate if they had at least one child (aged 2-6 years) and no plans to move from the area within the next 3 years. Study questionnaires and measures were completed remotely at baseline and will be assessed using the same methods at 1- and 2-year follow-ups. At each time point, caregivers measure and report their child's height, weight, and waist circumference, collect a hair sample for cortisol analysis, and fit their child with an activity monitor to assess the child's physical activity and sleep. Caregivers also complete a web-based health and behaviors survey with questions about family demographics, family stress, their own weight-related behaviors, and their child's mental health, as well as a 1-day dietary assessment for their child.

RESULTS

Enrollment for this study was completed in December 2021. The final second-year follow-up was completed in April 2024. This study's sample includes 359 families (359 children, 359 female caregivers, and 179 male caregivers). The children's mean (SD) age is 3.9 years (1.2 years) and 51% (n=182) are female. Approximately 74% (n=263) of children and 80% (n=431) of caregivers identify as White. Approximately 34% (n=184) of caregivers have a college diploma or less and nearly 93% (n=499) are married or cohabiting with a partner. Nearly half (n=172, 47%) of the families have an annual household income ≥CAD $100,000 (an average exchange rate of 1 CAD=0.737626 USD applies). Data cleaning and analysis are ongoing as of manuscript publication.

CONCLUSIONS

Despite public health restrictions from COVID-19, the Family Stress Study was successful in recruiting and using remote data collection to successfully engage families in this study. The results from this study will help identify the direction and relative contributions of the biological and behavioral pathways linking chronic stress and adiposity. These findings will aid in the development of effective interventions designed to modify these pathways and reduce obesity risk in children.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05534711; https://clinicaltrials.gov/study/NCT05534711.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/48549.

Dads at Mealtimes: Associations between Food Security, Household and Work Chaos, and Paternal Feeding Practices among Australian Fathers Living with Disadvantage

Understanding how fathers engage in feeding while experiencing disadvantage is important for family-focused interventions. A cross-sectional online survey involving 264 Australian fathers was conducted to explore feeding involvement and the relationships between feeding practices, food insecurity, and household and work chaos. Practices related to coercive control, structure, and autonomy support were measured for two age groups (<2 years and 2-5 years). Multivariable linear regression was used to examine the associations for each practice. Three-quarters of the sample were food insecure, impacting adults more than children, and correlated with household chaos. Food insecurity was associated with increased 'persuasive feeding' and 'parent-led feeding' in younger children. Household chaos was positively associated with coercive control practices in both younger and older child groups, with the strongest associations for 'using food to calm' and 'overt restriction', respectively. In older child groups, household chaos was negatively associated with 'offer new foods' and 'repeated presentation of new foods'. Structure practices had no significant relationships with any factors, and work chaos did not predict any feeding practices. These findings emphasize a need for societal and structural support to address food insecurity and household chaos. Tailored strategies are crucial to support fathers in responsive feeding.

Auditory chaos classification in real-world environments

Background & motivation

Household chaos is an established risk factor for child development. However, current methods for measuring household chaos rely on parent surveys, meaning existing research efforts cannot disentangle potentially dynamic bidirectional relations between high chaos environments and child behavior problems.

Proposed approach

We train and make publicly available a classifier to provide objective, high-resolution predictions of household chaos from real-world child-worn audio recordings. To do so, we collect and annotate a novel dataset of ground-truth auditory chaos labels compiled from over 411 h of daylong recordings collected via audio recorders worn by N = 22 infants in their homes. We leverage an existing sound event classifier to identify candidate high chaos segments, increasing annotation efficiency 8.32× relative to random sampling.

Result

Our best-performing model successfully classifies four levels of real-world household auditory chaos with a macro F1 score of 0.701 (Precision: 0.705, Recall: 0.702) and a weighted F1 score of 0.679 (Precision: 0.685, Recall: 0.680).

Significance

In future work, high-resolution objective chaos predictions from our model can be leveraged for basic science and intervention, including testing theorized mechanisms by which chaos affects children's cognition and behavior. Additionally, to facilitate further model development we make publicly available the first and largest balanced annotated audio dataset of real-world household chaos.

Adolescents' reports of chaos within the family home environment: Investigating associations with lifestyle behaviours and obesity

OBJECTIVE

Disorganised and chaotic home environments may hinder the adoption of healthy lifestyle behaviours and contribute to excessive weight gain among adolescents. We examined whether self-reported level of chaos within the family home environment is associated with lifestyle behaviours and obesity in adolescent girls and boys.

METHODS

Cross-sectional data from the 3rd wave of the Québec Adipose and Lifestyle Investigation in Youth (QUALITY) study were analyzed. The sample consisted of n = 377 White adolescents with a history of parental obesity. Home environment chaos was measured using the Confusion, Hubbub, and Order Scale (CHAOS) analyzed both continuously and dichotomized as high vs. low chaos. Body Mass Index z-scores (zBMI) were computed using WHO standards from measured weight and height. Physical activity (7-day accelerometry), vegetable and fruit intake (three 24-hour diet recalls), and leisure screen time and sleep duration (questionnaire) were assessed. Sex-specific linear regression models were used to estimate associations between level of family home environment chaos, lifestyle behaviours and zBMI.

RESULTS

The overall level of chaos was low in our study sample, with higher reported levels among girls compared to boys. Among girls, high (vs low) chaos was associated with shorter sleep duration (hours/day) (B = - 0.44, 95% CI: -0.75, -0.14). No associations were observed for other lifestyle behaviours or for zBMI.

CONCLUSION

In this sample of adolescents with a parental history of obesity, higher household chaos was not associated with obesity or lifestyle behaviours, except for sleep duration among girls. Replication of findings in more diverse samples is indicated.

Resource dilution in maternal feeding practices after birth of a secondborn

Firstborn children have higher prevalence of obesity than secondborn siblings. The birth of a sibling typically results in resource dilution when mothers begin to divide their time and attention between two children. This mixed-methods analysis applies the family systems process of resource dilution to test the hypothesis that characteristics of the secondborn impact how parents feed the firstborn. Participants (n = 76) were mothers of consecutively born firstborn and secondborn siblings who participated in the INSIGHT trial and an observational cohort. Quantitative analyses involved multilevel models to test if characteristics of secondborns (temperament at 16 weeks, appetite at 28 weeks) were associated with maternal feeding practices of firstborns (structure and control-based feeding) at 1, 2, and 3 years, adjusting for firstborn child characteristics. A purposive subsample (n = 30) of mothers participated in semi-structured interviews to contextualize potential sibling influences on maternal feeding practices during infancy and toddlerhood. Quantitative data showed secondborn temperament and appetite were associated with how mothers fed their firstborn. Qualitative data explained maternal feeding practices in three primary ways: 1) Mothers explained shifting predictable meal and snack routines after birth of the secondborn, but did not perceive sibling characteristics as the source; 2) Family chaos following the secondborn's birth led to "survival mode" in feeding; and 3) Social support was protective against feeding resource dilution. The family systems process of resource dilution is a focus for future research and support for families during key transitions and a direction for efforts to reduce risk for child obesity.

A mixed methods analysis of environmental and household chaos: considerations for early-childhood obesity research

BACKGROUND

Chaos has implications for child health that may extend to childhood obesity. Yet, results from studies describing associations between chaos and childhood obesity are mixed. New approaches to studying the environments of young children may help to clarify chaos-obesity relationships.

METHODS

We conducted a concurrent mixed methods analysis of quantitative and qualitative data describing home and neighborhood chaos among a diverse cohort of 283 caregiver-toddlers dyads from Ohio. We examined the underlying structure of environmental and household chaos using exploratory factor analysis then sought to validate the structure using qualitative field notes. We generated total scores for factors of chaos and described their distributions overall and according to cohort characteristics. Additionally, we conducted a thematic content analysis of brief ethnographies to provide preliminary construct validity for our indicators of chaos.

RESULTS

Dyads varied according to household composition, income, education, and race/ethnicity. We found evidence for a multi-factor structure for chaos, which included disorganization and neighborhood noise. Household disorganization scores ranged from 0 to 7.3 and were on average 2.1 (SD = 1.8). Neighborhood noise scores ranged from 0 to 4 and were on average 1.1 (SD = 1.1). Both disorganization and neighborhood noise were associated with indicators of socioeconomic disadvantage, such as lower educational attainment and household income. Qualitative data from households with high and low scores on the two identified factors were aligned in ways that were supportive of construct validity and further contextualized the social and material environments in which chaos occurred.

CONCLUSIONS

Chaos represents a complex construct with implications spanning various disciplines, including childhood obesity research. Previous studies suggest challenges associated with measuring chaos may limit the conclusions that can be drawn about which aspect of chaos (if any) matter most of early childhood weight development. We advance the literature by demonstrating chaos may be comprised of conceptually distinct subdomains. Future childhood obesity prevention research may benefit from more contemporary measure of chaos, such as those relying on direct observations that account for a multifaceted underlying structure.

Measurement of screen time among young children aged 0-6 years: A systematic review

The impact of screen-based devices on children's health and development cannot be properly understood without valid and reliable tools that measure screen time within the evolving digital landscape. This review aimed to summarize characteristics of measurement tools used to assess screen time in young children; evaluate reporting of psychometric properties; and examine time trends related to measurement and reporting of screen time. A systematic review of articles published in English across three databases from January 2009 to April 2020 was undertaken using PROSPERO protocol (registration: CRD42019132599) and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Included articles measured screen time as outcome, exposure, or confounder in children 0-6 years. The search identified 35,868 records, 1035 full-text articles were screened for eligibility, and 622 met inclusion criteria. Most measures (60%) consisted of one to three items and assessed duration of screen time on a usual day. Few measures assessed content (11%) or coviewing (7%). Only 40% of articles provided a citation for the measure, and only 69 (11%) reported psychometric properties-reliability n = 58, validity n = 19, reliability and validity n = 8. Between 2009 and 2019, the number of published articles increased from 28 to 71. From 2015, there was a notable increase in the proportion of articles published each year that assessed exposure to mobile devices in addition to television. The increasing number of published articles reflects increasing interest in screen time exposure among young children. Measures of screen time have generally evolved to reflect children's contemporary digital landscape; however, the psychometric properties of measurement tools are rarely reported. There is a need for improved measures and reporting to capture the complexity of children's screen time exposures.

Infant media use: A harm reduction approach

There are a myriad of potentially harmful developmental outcomes associated with infant digital media use. Studies revealing risk associated with early media use have informed the current American Academy of Pediatrics (AAP) recommendations that discourage most digital media use among children under 18 months of age. Recent research advances, however, suggest potential benefits of technology engagement in this age group. Additionally, surveys of parents reveal that most infants engage with digital media for at least 30 min a day, exceeding the AAP recommendations. In response to these discoveries and cultural trends, some scholars have made compelling cases to adapt the AAP guidelines for infants. A helpful model for developing infant digital media use guidelines for families may be the harm reduction approach. The intent of this review is to suggest adaptations to the AAP guidelines for infant media engagement using a harm reduction framework. This review describes the challenge of restrictive guidelines, briefly summarizes the harm reduction approach, provides a review of risks and benefits associated with infant media use in each developmental domain (physical, cognitive, and socioemotional), summarizes correlates of infant screen media use, and examines intervention strategies for reducing screen time. The paper concludes with examples of possible adaptations to current AAP infant media use recommendations using harm reduction and bioecological frameworks.

Interventions that prevent or reduce obesity in children from birth to five years of age: A systematic review

Childhood obesity worldwide affects 5.6% or 38.3 million children under five years of age. The longer children are overweight or obese, the more likely they are to become obese adults with all the contingent morbidity involved. An extensive number of preventive interventions to combat childhood obesity have been carried out worldwide. This article reports a systematic review of interventions aimed to reducing or preventing obesity under-fives. The search was performed with six different databases: Web of Science, PsycINFO, Cochrane, PubMed, Medline, and CINAHL. Studies meeting the inclusion criteria were independently assessed using Joanna Briggs Institute methodology. Thirty studies involving 23,185 children across nine countries were included. Twenty-two were randomised controlled trials, and 8 quasi-experimental pretest/post-test design with comparison. These studies fell into four different categories: home-based interventions with family involvement (n = 12), preschool/early childhood settings (n = 9), multicomponent interventions across multiple settings (n = 6) and healthcare setting (n = 3). Future research should focus on increasing the accessibility of education on diet and physical activity for deprived families as well as the cultural acceptability of interventions to prevent childhood obesity.

Household chaos, family routines, and young child movement behaviors in the U.S. during the COVID-19 outbreak: a cross-sectional study

BACKGROUND

The home environment is an important facilitator of young child movement behaviors, including physical activity (PA), sleep, and screen-time. Household chaos, characterized by crowding, noise, and disorder in the home, may hinder efforts to obtain adequate amounts of movement behaviors. The COVID-19 outbreak impacted many families, and social distancing during this time may create conditions for more household chaos. Family routines can help establish order in the home and encourage an appropriate balance of movement behaviors, such as less screen-time and more sleep. The purpose of this study was to evaluate the association between household chaos and young child movement behaviors during the COVID-19 outbreak in the United States, and the role of family routines in this relationship.

METHODS

A national online survey including 1836 mothers of preschoolers (3.0-5.9 years) was conducted during May 2020. Mothers reported demographic characteristics, household chaos, family routines, and the preschooler's movement behaviors during the outbreak. Mothers completed a household chaos questionnaire and were grouped into chaos categories (low, moderate/low, moderate/high, and high) for analysis. Linear regression was used to assess the association between chaos category, family routines, and movement behaviors with adjustment for covariates.

RESULTS

Mothers were 35.9 ± 4.1 years of age, middle income (47.8%), and preschoolers were 3.8 ± 0.8 years of age. Most mothers reported their preschooler was less physically active (38.9%), slept the same amount of time (52.1%), and increased their screen-time (74.0%) after the COVID-19 outbreak. Preschoolers in the high chaos households performed less total PA (β = - 0.36 days/week, 95% CI:-0.62 to - 0.09, p = 0.008), slept less (β = - 0.42 h, 95% CI:-0.59 to - 0.25, p = 0.001) and had more screen-time (β = 0.69 h, 95% CI:0.45 to 0.92, p = 0.001) compared to those in low chaos households. In most chaos categories, having a bed-time ritual was related to more child sleep, and mothers who viewed routines as "less/not important" reported more preschooler screen-time compared to mothers who viewed routines as "very important".

CONCLUSION

Promoting bed-time rituals and prioritizing routines, even somewhat, may be related to an improved balance of child movement behaviors. Innovative measures are needed to support families during periods of disruption such as that experienced in the COVID-19 pandemic.

Correlates of Sleep Duration in Early Childhood: A Systematic Review

OBJECTIVE

This systematic review aimed to summarize correlates of sleep duration in children under 5 years of age.

METHODS

Six electronic databases (PubMed, PsycINFO, MEDLINE, CINAHL, SPORTDiscus, and Scopus) were searched from inception to May 2019. Observational studies and intervention studies reporting cross-sectional results from baseline data were considered. Data were extracted using a predesigned form and potential correlates were categorized following a sociological framework.

RESULTS

One-hundred and sixteen studies, representing 329,166 children, met the inclusion criteria, with a high risk of bias in 62 included studies. A total of 83 correlates of sleep duration were identified. Among the associations studied four or more times, correlates of nap duration were child's age and nighttime sleep onset/bedtime; correlates of nighttime sleep duration were household income, parent marital status, parental adiposity level, nighttime sleep duration at younger age, nighttime sleep onset/bedtime, nighttime sleep wakeup time, and frequency of current bedtime routine; correlate of total sleep duration was screen time.

CONCLUSIONS

Young children from low-income households, single families, or having overweight parents may be at risk for short sleep duration. Promoting healthy sleep duration from an early age appears essential. Effective practices may include encouraging an earlier bedtime, limiting screen time, and establishing a regular bedtime routine. The absence of consistent evidence in the psychological, cognitive, and emotional domain as well as the physical environmental domain warrants further research.

Association between Home Environment in Infancy and Child Movement Behaviors

Introduction: An adequate balance of movement behaviors, including physical activity (PA), sleep, and screen time, is important for preventing excess weight gain in children. This study examined the relationship between the infant home environment and movement behaviors later in life. Methods: Pregnant women were recruited for a cohort study related to maternal and child development. The home environment was assessed for developmental stimulation, organization, and toys by the Pediatric Review of Children's Environmental Support and Stimulation (PROCESS) questionnaire when the child was 6 months of age. At 2 years of age, mother-reported child screen time, and child PA and sleep duration were estimated by accelerometry. Child behaviors were compared with the 24-hour Movement Guidelines (≥180 minutes/day of total PA, 11-14 hours/day of sleep, and ≤1 hour/day of screen time). Logistic regression was used to assess the relationship between the home environment and movement behaviors, adjusting for maternal and child covariates. Results: Mother/child dyads (n = 141) were mainly white (84.4%), and middle (32.8%) or low income (48.9%). All children (100%) met the PA guideline, some met the sleep guideline (71.6%), fewer met the screen-time guideline (44.7%), and only one-third (34.0%) met all three guidelines. Children who met the screen-time guideline lived in homes with more developmental stimulation and toys (p < 0.05). Children who met all 3 guidelines lived in homes with more organization and toys (p < 0.05). Conclusion: The infant home environment was associated with appropriate amounts of movement behaviors at 2 years. Promoting organization (i.e., routines) and toys in infancy may help facilitate nonscreen-based habits and healthy development. The clinical trial registration number is NCT01131117.

The Design of a Randomized Clinical Trial to Evaluate a Pragmatic and Scalable eHealth Intervention for the Management of Gestational Weight Gain in Low-Income Women: Protocol for the SmartMoms in WIC Trial

BACKGROUND

Less than one-third of women gain an appropriate amount of weight during pregnancy, which can influence the long-term health of both the mother and the child. Economically disadvantaged women are the most vulnerable to maternal obesity, excessive weight gain during pregnancy, and poor birth outcomes. Effective and scalable health care strategies to promote healthy weight gain during pregnancy specifically tailored for these women are lacking.

OBJECTIVE

This paper presents the design and protocol of a biphasic, community-based eHealth trial, SmartMoms in WIC, to increase the adherence to healthy gestational weight gain (GWG) recommendations in low-income mothers receiving women, infant, and children (WIC) benefits.

METHODS

Phase 1 of the trial included using feedback from WIC mothers and staff and participants from 2 community peer advisory groups to adapt an existing eHealth gestational weight management intervention to meet the needs of women receiving WIC benefits. The health curriculum, the format of delivery, and incentive strategies were adapted to be culturally relevant and at an appropriate level of health literacy. Phase 2 included a pragmatic randomized controlled trial across the 9 health care regions in Louisiana with the goal of enrolling 432 women. The SmartMoms in WIC intervention is an intensive 24-week behavioral intervention, which includes nutrition education and exercise strategies, and provides the technology to assist with weight management, delivered through a professionally produced website application.

RESULTS

Phase 1 of this trial was completed in July 2019, and recruitment for phase 2 began immediately thereafter. All data are anticipated to be collected by Spring 2023.

CONCLUSIONS

The SmartMoms in WIC curriculum was methodically developed using feedback from community-based peer advisory groups to create a culturally relevant, mobile behavioral intervention for mothers receiving WIC benefits. The randomized clinical trial is underway to test the effectiveness of a sustainable eHealth program on the incidence rates of appropriate GWG. SmartMoms in WIC may be able to offer an innovative, cost-effective, and scalable solution for GWG management in women served by WIC.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04028843; https://clinicaltrials.gov/ct2/show/NCT04028843.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/18211.

Household chaos: a risk factor for adverse child outcomes gains attention in public health

Household chaos, characterized by high levels of confusion, disorganization and hurriedness in the home, is increasingly recognized as an important risk factor for adverse child outcomes. Early research on household chaos and child well-being was largely within the field of developmental psychology, where greater levels of household chaos has been associated with greater behavioral, attention and learning problems in young children. The potential influence of household chaos on child health behaviors is more recently gaining attention within public health. A recent study by Marsh et al., entitled, the Relationship between Household Chaos and Child, Parent, and Family Outcomes: A Systematic Scoping Review, presents the findings from 112 studies that assessed the influence of household chaos on a wide range of child outcomes. Findings highlight the various adverse child health outcomes across multiple domains that may be negatively affected by greater levels of household chaos including a few that reflect child health behaviors such as sleep, diet and weight gain. The review additionally presents findings from mediation and moderation analyses. This commentary highlights key aspects of the Marsh et al. review and outlines the implications of the work within health behavior research. This commentary further identifies child screen media use as a critically understudied area when considering the interplay between household chaos and child well-being.

The relationship between household chaos and child, parent, and family outcomes: a systematic scoping review

BACKGROUND

Household chaos, represented by the level of disorganisation or environmental confusion in the home, has been associated with a range of adverse child and family outcomes. This review aims to (1) identify how household chaos is measured, (2) chart study details of household chaos literature, and (3) map the existing literature with respect to the relationship between household chaos and child, parent, and family outcomes. We expect that this review will highlight the need to consider the importance of household chaos in child well-being research, particularly in those families where children may be more vulnerable to the adverse effects of household chaos.

METHODS

We searched five electronic databases (last updated September 1st 2018) in addition to Google Scholar, and identified publications via a 3-stage screening process, which was conducted by two researchers. Published studies were included if they investigated the association between household chaos and child, parent, or family outcomes. Research that investigated household chaos as a mediator or moderator, or that investigated how the relationship between household chaos and the outcome of interest was mediated or moderated, were also included.

RESULTS

One hundred twelve studies in 111 publications were included. The majority were conducted in the United States (n = 71), and used either cross-sectional (n = 60) or longitudinal (n = 49) study designs. Outcomes of interest were categorised into seven categories: (1) cognitive and academic (n = 16), (2) socio-emotional and behavioural (n = 60), (3) communication (n = 6), (4) parenting, family, and household functioning (n = 21), (5) parent outcomes (n = 6), (6) hormone (n = 8), and (7) physical health and health behaviours (n = 19). There was consistent evidence for significant correlations between household chaos and adverse outcomes across all seven categories in diverse populations with respect to age, disease status, and socio-economic status (SES).

CONCLUSION

There is consistent evidence for associations between household chaos and a number of adverse child, parent, and family-level outcomes. Household chaos may also help describe variations in outcomes between low SES and child development.

Household chaos and screen media use among preschool-aged children: a cross-sectional study

Background

Excess screen media use is a robust predictor of childhood obesity. Understanding how household factors may affect children’s screen use is needed to tailor effective intervention efforts. The preschool years are a critical time for obesity prevention, and while it is likely that greater household disorder influences preschool-aged children’s screen use, data on that relationship are absent. In this study, our goal was to quantify the relationships between household chaos and screen use in preschool-aged children.

Methods

A cross-sectional, online survey was administered to 385 parents of 2–5 year-olds recruited in 2017. Household chaos was measured with the Confusion, Hubbub and Order Scale (i.e., the chaos scale), a validated, parent-reported scale. The scale consists of 15 items, each scored on a 4-point Likert scale. Final scores were the sum across the 15 items and modeled as quartiles for analyses. Parents reported their children’s screen use for nine electronic media activities. Adjusted linear and Poisson regression were used to model associations between household chaos and children’s total weekly screen use, screen use within one hour of bedtime and screen use in the bedroom.

Results

Children averaged 31.0 (SD = 23.8) hours per week with screens, 49.6% used screens within one hour of bedtime and 41.0% used screens in their bedrooms. In adjusted regression models, greater household chaos was positively associated with weekly screen use (P = 0.03) and use of screens within one hour of bedtime (P < 0.01) in a dose-dependent manner. Children in the fourth versus the first quartile of household chaos were more likely to use screens in their bedroom (P = 0.03).

Conclusions

Greater household chaos was associated with increased total screen use as well as screen use behaviors that are related to disrupted nighttime sleep. Findings suggest that household chaos may be an obesity risk factor during the preschool years because of such effects on screen use, and highlight the need to consider household chaos when implementing home-based obesity prevention programs for young children.

Electronic supplementary material

The online version of this article (10.1186/s12889-018-6113-2) contains supplementary material, which is available to authorized users.