Application of Latent Class Analysis to Identify Behavioral Patterns of Response to Behavioral Lifestyle Interventions in Overweight and Obese Adults

Fitzpatrick, Stephanie L.; Coughlin, Janelle W.; Appel, Lawrence J.; Tyson, Crystal C.; Stevens, Victor J.; Jerome, Gerald J.; Dalcin, Arlene; Brantley, Phillip J.; Hill-Briggs, Felicia

doi:10.1007/s12529-014-9446-y

Cited by 29 publications

(22 citation statements)

References 34 publications

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“…These two papers nicely complement other, recent work, which uses different methodology for identifying critical treatment decision points during the course of intervention (Fitzpatrick et al, 2014; Gunlicks-Stoessel & Mufson, 2011; Steidtmann et al, 2013). …”

Section: Overview Of the Articles In The Special Issuesupporting

confidence: 57%

Adaptive Interventions in Child and Adolescent Mental Health

Almirall

Chronis‐Tuscano

2016

Journal of Clinical Child & Adolescent Psychology

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The treatment or prevention of child and adolescent mental health (CAMH) disorders often requires an individualized, sequential approach to intervention, whereby treatments (or prevention efforts) are adapted over time based on the youth’s evolving status (e.g., early response, adherence). Adaptive interventions are intended to provide a replicable guide for the provision of individualized sequences of interventions in actual clinical practice. Recently, there has been great interest in the development of adaptive interventions by investigators working in CAMH. The development of such replicable, real-world, individualized, sequences of decision rules to guide the treatment or prevention of CAMH disorders represents an important “next step” in interventions research. The primary purpose of this special issue is to showcase some recent work on the science of adaptive interventions in CAMH. In this overview article, we review why individualized sequences of interventions are needed in CAMH, provide an introduction to adaptive interventions, briefly describe each of the articles included in this special issue, and describe some exciting areas of ongoing and future research. A hopeful outcome of this special issue is that it encourages other researchers in CAMH to pursue creative and significant research on adaptive interventions.

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Section: Overview Of the Articles In The Special Issuesupporting

confidence: 57%

Adaptive Interventions in Child and Adolescent Mental Health

Almirall

Chronis‐Tuscano

2016

Journal of Clinical Child & Adolescent Psychology

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“…There is a need in the weight‐management field for a measure of satisfaction with an individual's current diet. In behavioural weight‐loss interventions, the degree of adoption and maintenance of the prescribed diet is a strong predictor of the magnitude of long‐term weight loss . Weight‐loss outcomes vary widely across individuals, and although this occurs for multiple reasons, an important cause is lack of adherence to a diet that promotes energy restriction .…”

Section: Introductionmentioning

confidence: 99%

Validation of the Diet Satisfaction Questionnaire: a new measure of satisfaction with diets for weight management

James

Loken

Roe

et al. 2018

Obesity Science & Practice

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SummaryObjectiveThe Diet Satisfaction Questionnaire was developed to fill the need for a validated measure to evaluate satisfaction with weight‐management diets. This paper further develops the questionnaire, examining the factor structure of the original questionnaire, cross‐validating a revised version in a second sample and relating diet satisfaction to weight loss during a 1‐year trial.MethodsThe 45‐item Diet Satisfaction Questionnaire (DSat‐45) uses seven scales to assess characteristics that influence diet satisfaction: Healthy Lifestyle, Convenience, Cost, Family Dynamics, Preoccupation with Food, Negative Aspects, and Planning and Preparation. It was administered five times during a 1‐year weight‐loss trial (n = 186 women) and once as an online survey in a separate sample (n = 510 adults). Confirmatory factor analysis was used to assess and refine the DSat‐45 structure, and reliability and validity data were examined in both samples for the revised questionnaire, the DSat‐28. Associations were examined between both DSat questionnaires and weight loss in the trial.ResultsInternal consistency (reliability) was moderate for the DSat‐45. Confirmatory factor analysis showed improved fit for a five‐factor structure, resulting in the DSat‐28 that retained four of the original scales and a shortened fifth scale. This revised questionnaire was reliable in both samples. Weight loss across the year‐long trial was positively related to satisfaction with Healthy Lifestyle, Preoccupation with Food, and Planning and Preparation in both versions of the questionnaire.ConclusionsMeasures of reliability and validity were improved in the more concise DSat‐28 compared to the DSat‐45. This shorter measure should be used in future work to evaluate satisfaction with weight‐management diets.

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“…Weight loss outcomes are largely a function of sustained behavioral adherence to any reduced-energy diet (Alhassan, Kim, King, & Gardner, 2008; Dansinger, Gleason, Griffith, Selker, & Schaefer, 2005; Fitzpatrick et al, 2014; Heymsfield et al, 2007), and are not meaningfully affected by the type of diet one follows (Ajala, English, & Pinkney, 2013; Hu et al, 2012; Wycherley, Moran, Clifton, Noakes, & Brinkworth, 2012). Most dietary lapses are precipitated by temptation from palatable food (Cleobury & Tapper, 2014; McKee, Ntoumanis, & Taylor, 2014; Thomas, Doshi, Crosby, & Lowe, 2011).…”

Section: Introductionmentioning

confidence: 99%

Managing temptation in obesity treatment: A neurobehavioral model of intervention strategies

et al. 2016

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Weight loss outcomes in lifestyle interventions for obesity are primarily a function of sustained adherence to a reduced-energy diet, and most lapses in diet adherence are precipitated by temptation from palatable food. The high nonresponse and relapse rates of lifestyle interventions suggest that current temptation management approaches may be insufficient for most participants. In this conceptual review, we discuss three neurobehavioral processes (attentional bias, temporal discounting, and the cold-hot empathy gap) that emerge during temptation and contribute to lapses in diet adherence. Characterizing the neurobehavioral profile of temptation highlights an important distinction between temptation resistance strategies aimed at overcoming temptation while it is experienced, and temptation prevention strategies that seek to avoid or minimize exposure to tempting stimuli. Many temptation resistance and temptation prevention strategies heavily rely on executive functions mediated by prefrontal systems that are prone to disruption by common occurrences such as stress, insufficient sleep, and even exposure to tempting stimuli. In contrast, commitment strategies are a set of devices that enable individuals to manage temptation by constraining their future choices, without placing heavy demands on executive functions. These concepts are synthesized in a conceptual model that categorizes temptation management approaches based on their intended effects on reward processing and degree of reliance on executive functions. We conclude by discussing the implications of our model for strengthening temptation management approaches in future lifestyle interventions, tailoring these approaches based on key individual difference variables, and suggesting high-priority topics for future research.

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Application of Latent Class Analysis to Identify Behavioral Patterns of Response to Behavioral Lifestyle Interventions in Overweight and Obese Adults

Cited by 29 publications

References 34 publications

Adaptive Interventions in Child and Adolescent Mental Health

Adaptive Interventions in Child and Adolescent Mental Health

Validation of the Diet Satisfaction Questionnaire: a new measure of satisfaction with diets for weight management

Managing temptation in obesity treatment: A neurobehavioral model of intervention strategies

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