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Intuitive eating, objective weight status and physical indicators of health.

ABSTRACT: Introduction:Intuitive eating (IE) has emerged as a weight-neutral approach to health promotion for those with overweight/obesity. This weight-neutral paradigm has some support, although research thus far has often neglected to control for potential confounds (i.e. objective weight status and demographics) and foundational studies are lacking. The objective of the current study was to observe the unique association of IE with physical health indicators in a sample of adults, independent of objective weight status. Methods:Participants were 248 adults (32 ± 14 years old, 73% female, 64% White) of all weight categories (18.2-55.3 kg m-2), with an average body mass index (BMI) of 30 ± 8 kg m-2. IE was measured with the Intuitive Eating Scale-2 (IES-2). BMI was objectively measured in-lab. Health indicators included blood pressure (BP) and fasting glucose. Results:A series of hierarchical linear regressions revealed no significant associations between IE and systolic BP (? = -0.076, P = 0.256), diastolic BP (DBP; ? = -0.122, P = 0.073) or fasting glucose (? = 0.047, P = 0.500) after controlling for BMI. All effects sizes were small or below (f 2 = 0.00 to -0.04). Sensitivity analyses revealed significantly lower DBP in high intuitive eaters versus low when analysed with a t-test, t(111.651) = 3.602, P < 0.001, Levene corrected; however, after controlling for relevant covariates (i.e. BMI and demographics), analysis of covariance revealed no difference in DBP between groups, F(1, 116) = 0.330, P = 0.567. No significant differences in systolic BP or fasting glucose were observed between low and high intuitive eaters before or after considering covariates. Conclusions:In sum, this study investigated associations between IE and common indicators of physical health after controlling for objective weight status. Findings revealed no unique relationship between IE and physical health, and any IE-physical health relationships that were observed were accounted for BMI and/or demographic factors.

SUBMITTER: Keirns NG

PROVIDER: S-EPMC6819977 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature

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Project description:BackgroundReceiving information about one's weight, Body Mass Index (BMI) and other indicators of health risk may prompt behaviour change. This study investigated men's reactions to receiving information on indicators of health risk prior to taking part in a men-only weight management programme, Football Fans in Training (FFIT). It also investigated the extent to which the information was reported as influencing lifestyle change and having adverse consequences.MethodsWe undertook a qualitative, semi-structured, telephone interview study with 28 men who took part in FFIT. We sought to interview approximately equal numbers of men who had and had not lost 5% or more of their pre-programme body weight by the end of the 12-week programme. Data were analysed thematically utilising principles of framework analysis.ResultsSome men were apprehensive about receiving information which confirmed their overweight/obese status, particularly those less familiar with having similar information fed back to them. The professional football setting and the people present (including other men on the programme whom they perceived to be 'like them' and the fieldwork staff) were important factors in making the men feel comfortable in an otherwise potentially threatening situation. Men who achieved greater weight loss were more likely to report being motivated by this pre-programme feedback and to perceive themselves as responsible for their current weight and health status. However, for others the information only reaffirmed what they suspected about their relatively poor health status and was insufficient to prompt behaviour change.ConclusionUndertaking measurements and receiving information on health risk indicators, such as weight or BMI, within the context of behaviour change programmes can enhance motivation for behaviour change when communicated in an empathic and non-stigmatising way, and therefore should be considered as an integral part of interventions. However, providing feedback on health risk may be insufficient to prompt behaviour change in some people and may be detrimental to those with poor body image and/or lacking personal agency to adopt lifestyle changes. It is therefore imperative that adequate support and opportunities are made available when information on weight and disease risk are fed back within research or other settings.

Project description:BackgroundWorldwide, the prevalence of obesity among children has increased dramatically. Although the etiology of childhood obesity is multifactorial, to date, most preventive interventions have focused on school-aged children in school settings and have met with limited success. In this review, we focus on another set of influences that impact the development of children's eating and weight status: parenting and feeding styles and practices. Our review has two aims: (1) to assess the extent to which current evidence supports the hypothesis that parenting, via its effects on children's eating, is causally implicated in childhood obesity; and (2) to identify a set of promising strategies that target aspects of parenting, which can be further evaluated as possible components in childhood obesity prevention.MethodsA literature review was conducted between October 2006 and January 2007. Studies published before January 2007 that assessed the association between some combination of parenting, child eating and child weight variables were included.ResultsA total of 66 articles met the inclusion criteria. The preponderance of these studies focused on the association between parenting and child eating. Although there was substantial experimental evidence for the influence of parenting practices, such as pressure, restriction, modeling and availability, on child eating, the majority of the evidence for the association between parenting and child weight, or the mediation of this association by child eating, was cross-sectional.ConclusionTo date, there is substantial causal evidence that parenting affects child eating and there is much correlational evidence that child eating and weight influence parenting. There are few studies, however, that have used appropriate meditational designs to provide causal evidence for the indirect effect of parenting on weight status via effects on child eating. A new approach is suggested for evaluating the effectiveness of intervention components and creating optimized intervention programs using a multiphase research design. Adoption of approaches such as the Multiphase Optimization Strategy (MOST) is necessary to provide the mechanistic evidence-base needed for the design and implementation of effective childhood obesity prevention programs.

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Intuitive eating, objective weight status and physical indicators of health.

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