Abstract:Effective strategies to achieve weight loss and long-term weight loss maintenance have proved to be elusive. This systematic review and meta-analysis aims to explore whether the choice of weight loss strategy is associated with greater weight loss. An electronic search was conducted using the MEDLINE (Medical Literature Analysis and Retrieval System Online, or MEDLARS Online), EMBASE (Excerpta Medica database), CINAHL (Cumulative Index to Nursing and Allied Health Literature), and PsycINFO (Database of Abstrac… Show more
“…In fact, three studies demonstrated a statistically significant increase in mean weight loss in participants in the no‐choice groups. Of note, attrition rates were similar in choice and no‐choice groups in the studies, indicating no particular advantage in offering a choice to weight‐loss participants regarding adherence and retention 80 …”
Obesity is a chronic disease that increases morbidity and mortality and adversely affects quality of life. The rapid rise of obesity has outpaced the development and deployment of effective therapeutic interventions, thereby creating a global health crisis. The presentation, complications, and response to obesity treatments vary, yet lifestyle modification, which is the foundational therapeutic intervention for obesity, is often “one size fits all.” The concept of personalized medicine uses genetic and phenotypic information as a guide for disease prevention, diagnosis, and treatment and has been successfully applied in diseases such as cancer, but not in obesity. As we gain insight into the pathophysiologic mechanisms of obesity and its phenotypic expression, specific pathways can be targeted to yield a greater, more sustained therapeutic impact in an individual patient with obesity. A phenotype‐based pharmacologic treatment approach utilizing objective measures to classify patients into predominant obesity mechanism groups resulted in greater weight loss (compared with a non–phenotype‐based approach) in a recent study by Acosta and colleagues. In this review, we discuss the application of lifestyle modifications, behavior therapy and pharmacotherapy using the obesity phenotype–based approach as a framework.
“…In fact, three studies demonstrated a statistically significant increase in mean weight loss in participants in the no‐choice groups. Of note, attrition rates were similar in choice and no‐choice groups in the studies, indicating no particular advantage in offering a choice to weight‐loss participants regarding adherence and retention 80 …”
Obesity is a chronic disease that increases morbidity and mortality and adversely affects quality of life. The rapid rise of obesity has outpaced the development and deployment of effective therapeutic interventions, thereby creating a global health crisis. The presentation, complications, and response to obesity treatments vary, yet lifestyle modification, which is the foundational therapeutic intervention for obesity, is often “one size fits all.” The concept of personalized medicine uses genetic and phenotypic information as a guide for disease prevention, diagnosis, and treatment and has been successfully applied in diseases such as cancer, but not in obesity. As we gain insight into the pathophysiologic mechanisms of obesity and its phenotypic expression, specific pathways can be targeted to yield a greater, more sustained therapeutic impact in an individual patient with obesity. A phenotype‐based pharmacologic treatment approach utilizing objective measures to classify patients into predominant obesity mechanism groups resulted in greater weight loss (compared with a non–phenotype‐based approach) in a recent study by Acosta and colleagues. In this review, we discuss the application of lifestyle modifications, behavior therapy and pharmacotherapy using the obesity phenotype–based approach as a framework.
“…18,19 4.4 | Evidence on the effect of being assigned to the preferred treatment on weight loss outcomes Weight loss studies that incorporate participants' preference to test the effect of preference on weight loss outcomes do not provide strong evidence that receiving a preferred treatment leads to or is associated with better outcomes compared with receiving a randomly assigned treatment or the non-preferred treatment. [20][21][22][23][24][25] For example, Renjilian et al 21 randomly assigned adult participants with obesity to the weight loss treatments for which they expressed preference within a 2  2 factorial design (individual/group treatment  preferred/non-preferred).…”
Section: Why It Is Important To Know Preference Proportionsmentioning
We assessed the preference for two behavioural weight loss programs, Diabetes Prevention Program (DPP) and Healthy Weight for Living (HWL) in adults with obesity. A crosssectional survey was fielded on the Amazon Mechanical Turk. Eligibility criteria included reporting BMI ≥30 and at least two chronic health conditions. Participants read about
“… [13] Dietary patterns most associated with reduced CVD risk are those that: [ 6 , 7 , 8 , 9 , 10 ] • Prioritize: Vegetables, fruits, legumes, nuts, whole grains, seeds, and fish Foods rich in monounsaturated and polyunsaturated fatty acids such as fish, nuts, and non-tropical vegetable oils Soluble fiber •Limit: Saturated fat, such as tropical oils, as well as ultra-processed meats preserved by smoking, curing, or salting or addition of chemical preservatives, such as bacon, salami, sausages, hot dogs, or processed deli or luncheon meats, which in addition to containing saturated fats, may also have increased sodium, nitrate, and other components which might account for an increase CVD risk compared to unprocessed red meat [14] Excessive sodium Cholesterol, especially in patients at high risk for CVD with known increases in cholesterol blood levels with increased cholesterol intake Ultra-processed carbohydrates Sugar-sweetened beverages Alcoholic beverages [ 15 , 16 ] Trans fats …”
Section: Introductionmentioning
confidence: 99%
“… Adoption of healthful nutrition is a shared decision process between clinician and patient, with priorities based upon evidence-based dietary patterns, nutrition goals, cultural applicability, cost, and availability. While potentially counterintuive, patient preference is not consistently associated with improved health outcomes when implemeting medical nutrition therapy [17] , [18] , [19] . Healthful food choices made after medical nutrition therapy may differ from “preferred” food choices made before medical nutrition therapy.…”
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