Interaction between Disinhibition and restraint: Implications for body weight and eating disturbance

Bryant, Eleanor; Kiezebrink, Kirsty; King, Neil; Blundell, John

doi:10.1007/bf03325279

Cited by 28 publications

(10 citation statements)

References 47 publications

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“…Baseline scores on the TFEQ were similar to pre-treatment scores of women seeking weight loss treatment previously (Foster et al, 1998). Prior research found that higher cognitive restraint scores among overweight individuals were associated with greater weight loss and maintenance of weight loss (Foster et al, 1998; Keranen et al, 2009), whereas eating beyond satiety (high disinhibition) was associated with greater body weight and obesity (Bryant, Kiezebrink, King, & Blundell, 2010; Dykes, Brunner, Martikainen, & Wardle, 2004; Keranen, Strengell, Savolainen, & Laitinen, 2011). Correlational findings from the current study are consistent with these prior reports.…”

Section: Discussionmentioning

confidence: 99%

Comparison of a Mindful Eating Intervention to a Diabetes Self-Management Intervention Among Adults With Type 2 Diabetes

et al. 2013

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Mindful eating may be an effective intervention for increasing awareness of hunger and satiety cues, improving eating regulation and dietary patterns, reducing symptoms of depression and anxiety, and promoting weight loss. Diabetes self-management education (DSME), which addresses knowledge, self-efficacy, and outcome expectations for improving food choices, also may be an effective intervention for diabetes self-care. Yet few studies have compared the impact of mindful eating to a DSME-based treatment approach on patient outcomes. Adults 35 to 65 years old with type 2 diabetes for ≥1 year not requiring insulin therapy were recruited from the community and randomly assigned to treatment group. The impact of a group-based 3-month mindful eating intervention (MB-EAT-D; n = 27) to a group-based 3-month DSME “Smart Choices” (SC) intervention (n = 25) postintervention and at 3-month follow-up was evaluated. Repeated-measures ANOVA with contrast analysis compared change in outcomes across time. There was no significant difference between groups in weight change. Significant improvement in depressive symptoms, outcome expectations, nutrition and eating-related self-efficacy, and cognitive control and disinhibition of control regarding eating behaviors occurred for both groups (all p < .0125) at 3-month follow-up. The SC group had greater increase in nutrition knowledge and self-efficacy than the MB-EAT-D group (all p < .05) at 3-month follow-up. MB-EAT-D had significant increase in mindfulness, whereas the SC group had significant increase in fruit and vegetable consumption at study end (all p < .0125). Both SC and MB-EAT-D were effective treatments for diabetes self-management. The availability of mindful eating and DSME-based approaches offers patients greater choices in meeting their self-care needs.

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Section: Discussionmentioning

confidence: 99%

Comparison of a Mindful Eating Intervention to a Diabetes Self-Management Intervention Among Adults With Type 2 Diabetes

et al. 2013

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“…Key traits or factors arise from the Three Factor Eating Questionnaire and include restraint, disinhibition and hunger (41) . Disinhibition has been shown to be related to weight gain (42) and has been described as reflecting opportunistic eating (43) , although disinhibition also interacts with restraint (44,45) . Other dispositions can be measured with the Binge Eating Scale (46) ; the Power of Food Scale (47) and the Craving Inventory (48) .…”

Section: Psychobiological System Approachmentioning

confidence: 99%

The influence of physical activity on appetite control: an experimental system to understand the relationship between exercise-induced energy expenditure and energy intake

et al. 2011

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Investigations of the impact of physical activity on appetite control have the potential to throw light on the understanding of energy balance and therefore, upon body weight regulation and the development of obesity. Given the complexity of the landscape influencing weight regulation, research strategies should reflect this complexity. We have developed a research approach based on the concept of the psychobiological system (multi-level measurement and analysis) and an experimental platform that respects the operations of an adaptive regulating biological system. It is important that both sides of the energy balance equation (activity and diet) receive similar detailed levels of analysis. The experimental platform uses realistic and fully supervised levels of physical activity, medium-term (not acute) interventions, measurement of body composition, energy metabolism (indirect calorimetry), satiety physiology (gut peptides), homeostatic and hedonic processes of appetite control, non-exercise activity, obese adult participants and both genders. This research approach has shown that the impact of physical activity on appetite control is characterised by large individual differences. Changes in body composition, waist circumference and health benefits are more meaningful than changes in weight. Further, we are realising that the acute effects do not predict what will happen in the longer term. The psychobiological systems approach offers a strategy for simultaneously investigating biological and behavioural processes relevant to understanding obese people and how obesity can be managed. This experimental platform provides opportunities for industry to examine the impact of foods under scientifically controlled conditions relevant to the real world.

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“…Previous research in non-psychiatric populations have consistently found that women who show patterns of restrictive eating and/or tendencies towards dieting also show greater alcohol consumption (Bradstock et al, 1988; Bryant, Kiezebrink, King, & Blundell, 2010; Higgs & Eskenazi, 2007; Khaylis, Trockel, & Taylor, 2009; Krahn et al, 2005; Lavik, Clausen, & Pedersen, 1991; Stewart, Angelopoulos, Baker, & Boland, 2000; Xinaris & Boland, 1989). However, previous findings have been restricted by sampling only a subset of the female population (i.e., college women), retrospective data collection, which has been associated with underreporting of drinking behavior (Whitty & Jones, 1992), and not assessing the role of the menstrual cycle.…”

Section: Introduction1mentioning

confidence: 97%

Alcohol consumption as a function of dietary restraint and the menstrual cycle in moderate/heavy (“at-risk”) female drinkers

Dimatteo¹,

Reed²,

Evans³

2012

Eating Behaviors

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Previous research suggests that women who report dietary restraint tend to consume alcohol in greater quantities, however most studies use retrospective data collection, which are often unreliable, and no studies have accounted for this relationship with respect to potential changes in alcohol consumption across the menstrual cycle. Therefore, the present study investigated the relationship between prospectively monitored drinking patterns and dietary restraint across the menstrual cycle among females from the general population whose drinking level (7 – 20 drinks/week) places them at-risk for developing alcohol use disorders. Restrained eaters (RES; N = 51) and unrestrained eaters (UN-RES; N = 55), per the cognitive restraint scale scores from the Three-Factor Eating Questionnaire, provided prospective ratings measuring mood, alcohol consumption, and consequences of alcohol use across one full menstrual cycle. Dysphoric mood increased during the late luteal and menstrual phases in both groups. Although overall the RES group did not drink more than the UN-RES group, the RES group drank less than the UN-RES group during the follicular phase, suggesting that among RES women alcohol consumption may be modulated by hormonal fluctuations across the menstrual cycle. The differences between the present findings and previous research may be due to the cohorts sampled; the majority of previous studies sampled college students, where binge drinking and dietary restraint are more common, whereas this study sampled the general population. Future research should replicate prior studies in a college-aged population using the current design of prospective data collection for greater accuracy of self-reported alcohol consumption.

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Interaction between Disinhibition and restraint: Implications for body weight and eating disturbance

Cited by 28 publications

References 47 publications

Comparison of a Mindful Eating Intervention to a Diabetes Self-Management Intervention Among Adults With Type 2 Diabetes

Comparison of a Mindful Eating Intervention to a Diabetes Self-Management Intervention Among Adults With Type 2 Diabetes

The influence of physical activity on appetite control: an experimental system to understand the relationship between exercise-induced energy expenditure and energy intake

Alcohol consumption as a function of dietary restraint and the menstrual cycle in moderate/heavy (“at-risk”) female drinkers

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