The Validity and Reliability of the Comprehensive Home Environment Survey (CHES)

Pinard, Courtney A.; Yaroch, Amy L.; Hart, Michael H.; Serrano, Elena; McFerren, Mary M.; Estabrooks, Paul A.

doi:10.1177/1524839913477863

Cited by 39 publications

(50 citation statements)

References 33 publications

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“…To date, research on the role of household and family factors and child weight status in diverse and low socioeconomic status populations has been limited and to some degree inconclusive. Given the disproportionate prevalence of pediatric obesity in these populations, large scale, prospective, hypothesis-driven studies using valid, comprehensive instruments [66] are needed to explore the interaction of family and household characteristics, on the development of children’s eating and physical activity habits and the subsequent effects on weight status. Elucidating specific mechanisms through which parents exert influence, such as rule-setting, modeling, shaping attitudes and preferences, or influencing the development of self-regulation and how these interact with parent weight status and other environmental contexts may be of particular importance.…”

Section: Discussionmentioning

confidence: 99%

Household and family factors related to weight status in first through third graders: a cross-sectional study in Eastern Massachusetts

et al. 2014

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BackgroundEarly environmental influences have been linked to child weight status, however further understanding of associations in diverse populations is needed.MethodsA cross-sectional analysis of household and family factors associated with overweight was conducted on a culturally diverse, urban dwelling sample of 820 first through third graders (mean age 7.6 ± 1.0 years) residing in three eastern Massachusetts cities. Overweight was defined as BMI > 85th percentile, based on measured height and weight, and the CDC growth reference. Multivariate logistic regression was used to identify demographic, behavioral, and social environmental variables significantly related to weight status. Independent variables included race-ethnicity, age, sex, servings of sugar-sweetened beverages/week, hours of screen time/week, parent overweight, (calculated from self-reported weight/height), parent education, household food restriction rules regarding snacking and/or kitchen access, frequency of having dinner as a family (reported as “a lot” vs. “sometimes/rarely/never”) and child vitamin/mineral supplement use. Selected interactions were explored based on prior studies.ResultsPrevalence of overweight was 35.5% in girls and 40.8% in boys. In the final, adjusted model, compared to white children, the odds of overweight were higher in children of Hispanic race-ethnicity (odds ratio (OR) = 2.4, 95% CI = 1.4 - 4.1). In the same adjusted model, compared to children with no household food restriction rules, the odds of overweight were 2.6 (95% CI = 1.3-5.1) times higher and 3.5 (95% CI = 1.9-6.4) times higher for children having one rule or two rules, respectively. Parent report of frequent family dinner and child vitamin use were protective, with a halving of risk for overweight for each behavior (OR = 0.47, 95% CI = 0.31-0.71 and OR = 0.54, 95% CI = 0.37-0.78, respectively).ConclusionsIn the presence of other factors, frequent family dinner and vitamin use were associated with lower risk of overweight and household food restriction rules with higher risk. Although such relationships have previously been reported, this investigation is among the first to demonstrate these associations in a low-income, racially-diverse early elementary school population, and suggest potential targets of opportunity within the family context that could reduce child overweight risk in a subgroup of children at elevated risk of obesity.

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Section: Discussionmentioning

confidence: 99%

Household and family factors related to weight status in first through third graders: a cross-sectional study in Eastern Massachusetts

et al. 2014

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“…We aimed to assess those aspects of the home environment that are proposed to associate with pre-schooler's EBRBs. Questions adapted from international scienti c literature describing previous studies (Carson and Janssen 2012;Gonzalez-Gil et al 2014;Lampard et al 2013;O'Connor et al 2014;Pinard et al 2014) were translated into Finnish according to a translation and back-translation protocol. In addition, certain questions were modi ed to better suit the Finnish context.…”

Section: Home Sedentary Behaviour Environmentmentioning

confidence: 99%

Association between home environment and preschool children’s sedentary time influenced by parental educational level in a cross-sectional survey

Lehto

Ray

et al. 2020

Preprint

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Abstract Background: Childhood obesity is a major public health concern, especially in low socioeconomic groups. Sedentary time (SED) is an important predictor of obesity. To be able to diminish SED it is important to find modifiable predictors of sedentary behavior. The home environment associated with children’s SED may vary by parental socioeconomic status. This study aims to clarify the association between parental educational level (PEL) and the home environment of 3–6-year-old children, and to examine how home environment associates with children’s SED, and whether PEL modifies these associations.Methods: A cross-sectional Increased health and wellbeing in preschools (DAGIS) study was conducted in 2015–2016 in Finland. The parents (n=809) filled in questionnaires assessing PEL, and the home physical and social environment related to children’s SED. Children’s SED was measured with accelerometers, which the children (n=758) wore for one week.Results: High PEL was associated with a home environment restraining sedentary behaviour compared with low PEL. More favourable descriptive norms about screen time associated with children’s higher SED. Some of the associations with sedentary home environment factors and SED were influenced by PEL. Having rules limiting the child’s TV time was associated with children’s lower SED only among high PEL group. Conclusions: Future interventions aiming to decrease SED should pay attention to relevant factors in children’s sedentary behaviour home environment. It is important to acknowledge the possible PEL differences in these factors.

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“…Physical activity is connected to energy balance, weight, and disease prevention . 1,4 Guidelines have been established to define the amount of physical activity that different age groups within the population should be meeting in order to reduce the risk of chronic disease. 8,26 It is important to be able to accurately describe the amount of activity children are engaging in every day in order to determine the percent of the population who are not meeting the recommendations and are therefore at an increased risk of developing a chronic disease.…”

Section: Physical Activity Recommendationsmentioning

confidence: 99%

“…2 Obesity in children has been linked with health problems such as hyperlipidemia, hypertension, insulin resistance, respiratory problems, and orthopedic complications, which are diagnoses that were previously only seen in adults. 3,4 Obese children also have a higher risk of becoming obese adults. 3 Lifestyle behaviors such as diet and physical inactivity are contributors to energy imbalance and obesity, with reduced physical activity cited as being a major contributor in children and adolescents.…”

Section: Chapter 1-introductionmentioning

confidence: 99%

“…3 Lifestyle behaviors such as diet and physical inactivity are contributors to energy imbalance and obesity, with reduced physical activity cited as being a major contributor in children and adolescents. 1,4 Preschool aged children (3-5 year olds) have been identified as an important group to study for early intervention due to a number of reasons, one of which being that, according to Trost et al, it is "a time when physical activity habits are established." 3 A second reason is that physical activity levels have been seen to decrease with age.…”

Section: Chapter 1-introductionmentioning

confidence: 99%

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The Influence of Accelerometer Cut Points on Determining the Percent of Preschool-Age Children Meeting Physical Activity Guidelines

Scott¹

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Reduced physical activity is thought to be a major contributor to energy imbalance and obesity in children and adolescents. A challenge for researchers is selecting a tool that will accurately measure physical activity, especially in young children. A current tool that is used is an accelerometer. This study had two objectives. The first examined if different sets of accelerometer cut points developed for preschool-age children would produce the same physical activity results when identical raw data were run through them. Through the use of accelerometer data the second objective aimed to determine the percent of children who met the physical activity guidelines for 3 to 5 year olds, which recommend 180 minutes of combined light to vigorous activity each day. Participants wore accelerometers for 7 consecutive days. Raw accelerometer data were run through five sets of accelerometer cut points. A paired t-test was used to compare the minutes per day reported in sedentary, light, moderate to vigorous, and light to vigorous physical activity. The light to vigorous results calculated from the five sets of cut points were used to determine the percent of children who were meeting the physical activity recommendation. While some of the cut points when compared against each other did produce equal results within a particular physical activity threshold, no overall sets of cut points produced the same levels of physical activity across all activity thresholds. Two sets of cut points classified the same percent of participants (10.67%) as achieving the recommended 180 minutes of activity. A large range of participants (87.33%-0.33%) met the recommendations based on the other sets of cut points. The cut points chosen to process raw accelerometer data influenced the reported levels of physical activity.

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The Validity and Reliability of the Comprehensive Home Environment Survey (CHES)

Cited by 39 publications

References 33 publications

Household and family factors related to weight status in first through third graders: a cross-sectional study in Eastern Massachusetts

Household and family factors related to weight status in first through third graders: a cross-sectional study in Eastern Massachusetts

Association between home environment and preschool children’s sedentary time influenced by parental educational level in a cross-sectional survey

The Influence of Accelerometer Cut Points on Determining the Percent of Preschool-Age Children Meeting Physical Activity Guidelines

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