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

Hulst, Andraea Van; Jayanetti, Sujani; Sansón-Rosas, Ana María; Harbec, Marie-Josée; Kakinami, Lisa; Barnett, Tracie A.; Henderson, Mélanie

doi:10.1371/journal.pone.0280737

Cited by 2 publications

(1 citation statement)

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“…So, it is possible that individuals with obesity are more often in a hedonic mindset when they are confronted with food stimuli. Empirical evidence for this viewpoint is rather robust, with evidence coming from home/family environment (Bates et al, 2018;East et al, 2019;Van Hulst et al, 2023), trait self-control (Fan & Jin, 2014;Konttinen et al, 2009;Privitera et al, 2015;Will Crescioni et al, 2011) and food-cue reactivity research (Boswell & Kober, 2016;Chantal Nederkoorn & Jansen, 2002;van den Akker et al, 2014). Thus, a future smartphone EMA study could be designed to assess foodrelated thoughts and exact eating motives.…”

Section: Explaining Differences In Body Weightmentioning

confidence: 99%

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According to the World Health Organization (WHO), overweight and obesity are defined as abnormal and/or excessive fat accumulation that may lead to life-long health complications, and it is typically quantified using the Body Mass Index (BMI). More specifically, a person with a BMI between 18.5 and 24.9 is considered to be healthy-weight, between 25 and 30 overweight, and over 30 obese. The obesity epidemic is globally recognized as a health crisis, threatening not only people's physical and mental health, but also governments' economies and health care systems. Obesity significantly increases the risk of severe health complications such as cancer, cardiovascular disease, type 2 diabetes, and mental health problems (e.g., depressive disorder, eating disorders; Caleyachetty et al., 2017;Danaei et al., 2009). According to a recent report of the World Health Organization (WHO), obesity has nearly tripled since 1975, with almost 2 billion adults with overweight and over 650 million with obesity (WHO, 2017). This amounts to 39% of the adult world population with overweight and 13% with obesity. Moreover, the same report estimated that 41 million children under the age of 5 years old suffer from overweight and/or obesity in 2016. The prevalence of overweight and obesity among adolescents (5-17 y. o.) has also risen dramatically from 4% in 1975 to over 18% in 2016. Therefore, in the year 2018, the estimated annual medical cost for the treatment and prevention of obesity was approximately $147 billion. Importantly, a crucial contributing factor to the obesity pandemic is the so-called obesogenic environment. The current Western environment is considered obesogenic, as people are surrounded by high caloric palatable foods, jobs require less physical effort, and not much time is left for sports and fitness (Hill et al., 2005;Morland & Evenson, 2009;Small, 2009). So, it is hard to stay or become lean in this obesogenic environment (Wadden et al., 2002). However, despite sharing the same environment, not everyone becomes CHAPTER 2 More complex than you might think: Neural representations of food reward value in obesity

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Section: Explaining Differences In Body Weightmentioning

confidence: 99%

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Household chaos and childhood obesity-related health outcomes

Burton,

Choquette,

Gray

et al. 2024

Journal of Pediatric Psychology

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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.

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

Cited by 2 publications

References 47 publications

With food in mind

With food in mind

Household chaos and childhood obesity-related health outcomes

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