The perceived relative worth of reaching and maintaining goal weight

O’Neil, Patrick M.; Smith, CF; Foster, G. D.; Anderson, Drew A.

doi:10.1038/sj.ijo.0801242

Cited by 26 publications

(25 citation statements)

References 20 publications

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“…48 In the present study, prospective weight outcome evaluations reported at baseline were significantly more stringent in eventual noncompleters than in completers, suggesting that more realistic expectations towards weight loss are an important, independent cognitive indicator of readiness to complete treatment. It has been frequently argued that false hope and the desire to lose more weight than what realistically can be expected may Predictors of success in weight loss PJ Teixeira et al increase the likelihood of early disappointment and relapse upon smaller than wanted changes.…”

Section: Discussionmentioning

confidence: 47%

Pretreatment predictors of attrition and successful weight management in women

et al. 2004

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OBJECTIVE: This study analyzed baseline behavioral and psychosocial differences between successful and nonsuccessful participants in a behavioral weight management program. Success was defined by commonly used health-related criteria (5% weight loss). Noncompletion was also used as a marker of a failed attempt at weight control. SUBJECTS: A total of 158 healthy overweight and obese women (age, 48.074.5 y; BMI, 31.073.8 kg/m 2 ; body fat, 44.575.3%). INTERVENTION: Subjects participated in a 16-week lifestyle weight loss program consisting of group-based behavior therapy to improve diet and increase physical activity, and were followed for 1 y after treatment. METHODS: At baseline, all women completed a comprehensive behavioral and psychosocial battery assessing dieting/weight history, dietary intake and eating behaviors, exercise, self-efficacy, outcome evaluations, body image, and other variables considered relevant for weight management. Participants who maintained a weight loss of 5% or more at 16 months (or 10% or more of initial fat mass) were classified as successful. Nonsuccessful participants were those who dropped out and completers who had not lost weight at follow-up. RESULTS: Of all participants, 30% (n ¼ 47) did not complete initial treatment and/or missed follow-up assessments (noncompleters). Noncompletion was independently associated with more previous weight loss attempts, poorer quality of life, more stringent weight outcome evaluations, and lower reported carbohydrate intake at baseline. In logistic regression, completion status was predicted correctly in 84% of all cases (w 2 ¼ 45.5, Po0.001), using baseline information only. Additional predictors of attrition were initial weight, exercise minutes, fiber intake, binge eating, psychological health, and body image. A large variation in weight loss/maintenance results was observed (range: 37.2 kg for 16-month weight change). Independent baseline predictors of success at 16 months were more moderate weight outcome evaluations, lower level of previous dieting, higher exercise self-efficacy, and smaller waist-to-hip ratio. Success status at follow-up was predicted correctly in 74% of all starting cases (w 2 ¼ 33.6, Po0.001). CONCLUSION: Psychosocial and behavioral variables (eg, dieting history, dietary intake, outcome evaluations, exercise selfefficacy, and quality of life) may be useful as pretreatment predictors of success level and/or attrition in previously overweight and mildly obese women who volunteer for behavioral weight control programs. These factors can be used in developing readiness profiles for weight management, a potentially important tool to address the issue of low success/completion rates in the current management of obesity.

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Section: Discussionmentioning

confidence: 47%

Pretreatment predictors of attrition and successful weight management in women

et al. 2004

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“…Despite initial weight-loss recommendations of 5-10 % (15,16) , research suggests that adults expect to lose 21-28 % of their starting weight within the first year of treatment (17)(18)(19)(20) , with desired weight losses as high as 34 % (18,20) . Most of these studies examined weight-loss expectations among middle-aged cohorts (18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28) or the general population (17,(29)(30)(31)(32)(33)(34) . A small (n 44) Italian study of 18-35-year-old women reported that non-obese women would need to lose 18 % and obese women 23 % of their current weight to reach their ideal weight (35) .…”

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confidence: 99%

“…Women (mean age of 38·2 years) who enrolled in a weight management intervention were more likely to report appearance rather than improving health as the key motivation for enrolment, when compared with males (17) . Findings from the US National Weight Control Registry suggest that young adults (18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30)(31)(32)(33)(34)(35) years) who maintained a weight loss for at least 1 year were more likely to report improved appearance or social factors as their primary motivators for weight loss and less likely to report health concerns as their motivation, when compared with older adults (36-50 years) (39) . These findings suggest that young women have different motivations for wanting to control their weight; however, these studies were restricted to individuals already enrolled in a weight-loss intervention or who had achieved successful weight-loss maintenance and therefore may not be representative of young women generally.…”

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confidence: 99%

Weight expectations, motivations for weight change and perceived factors influencing weight management in young Australian women: a cross-sectional study

Holley

Collins²,

Morgan³

et al. 2015

Public Health Nutr.

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Objective: To examine young Australian women's weight expectations, motivations for weight change and perceived factors influencing weight management, and to determine if these factors differ by age, BMI, marital status, education or income. Design: Cross-sectional study. An online survey captured respondents' weight, height, ideal weight, main reasons for wanting to change their weight and challenges to managing their weight. Setting: Online survey in Australia. Subjects: Six hundred and twenty women aged 18-30 years currently living in Australia who completed the survey between 31 July and 30 September 2012.Results: Approximately half of participants (53·1 %) were a healthy weight, 25·2 % overweight and 19·0 % obese. Women unhappy at their current weight (78·1 %) reported a median ideal weight −12·3 % less than their current weight. The key motivators for weight change were to improve health (24·4 %, ranked 1), feel better in oneself (22·3 %) and improve self-confidence (21·5 %). Lack of motivation, time constraints because of job commitments and cost were the most commonly reported factors influencing weight management. Age, BMI, marital status, education and income were found to influence weight expectations, motivations for weight change and/or factors perceived to influence weight management. Conclusions: The findings suggest potential implications for weight management interventions and public health messaging targeting young women, to improve long-term health outcomes. Strategies that promote the health benefits of physical activity and healthy eating, feeling better about oneself and improved selfconfidence, and address the main factors influencing weight management including lack of motivation, time constraints and cost, may be used to engage this target group. Keywords Young women Weight goals Motivations Weight managementWeight gain among young women is a major public health concern (1) . A longitudinal study in Australian adults (AUSDIAB) reported that women aged 25-34 years gained an average of 6·6 kg over a 12-year period and this life stage had the highest rate of weight gain among the women studied (2) . Similarly, in a US 10-year prospective study of young adults (18-30 years), Caucasian women experienced a mean weight gain of 6·9 kg (3) . Weight gain during young adulthood and the development of obesity among young women are associated with an increased risk of depression (4,5) , infertility (5,6) , pregnancy complications (5,6) and chronic conditions in adulthood, including type 2 diabetes (5-7) , CVD (5,6,8) and certain cancers (5,6,9) . Interventions to prevent weight gain and obesity among young women have the potential to significantly impact health outcomes and reduce health-care costs at the population level. However, traditional behavioural approaches to weight control may be ineffective for young women, with research suggesting lower rates of recruitment and attendance, higher attrition and less successful weight-loss outcomes (10) Furthermore, recent systematic reviews of wei...

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“…This outcome could be explained by an aversion to goals perceived as impossible, or unsatisfying [23]. Several studies show that participants with obesity are not motivated by an overall weight-loss goal of 5-10%, as is recommended by health professionals, but rather a weight-loss goal of 22-34% [24][25][26]. This failure to meet the expectations of patients with obesity suggests that there needs to be a smaller disparity between actual and expected outcomes.…”

Section: Primary Improvementsmentioning

confidence: 99%

Relationship Between Evidence Requirements, User Expectations, and Actual Experiences: Usability Evaluation of the Twazon Arabic Weight Loss App (Preprint)

Alnasser¹,

Kyle²,

Al‐Khalifa³

et al. 2018

Preprint

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Background: Saudi Arabia has faced a steady growth in the prevalence of obesity. Implementation of Mobile health (mHealth) technology as a method of delivering behavioral interventions may be effective in lifestyle and diet modification. Despite this, there are few weight-loss apps available and a lack of robust interventions from the Gulf region. Objective: The current study examines the discourse between evidence requirements, user expectations and experiences. Methods: Usability of the Twazon app was evaluated by analyzing user opinions and experiences from participants of an app-based weight-loss intervention; this was completed using a System Usability Scale and Word Clouds. The results were triangulated with those obtained in a focus group discussion with potential users' expectations and an Arabic app screening for evidence-based practices. Results: The Twazon app was found to be 'more than satisfactory' with an average reported SUS score of 69.3. The most favored features were the calorie counter, step counter and physical activity calorie counter. The features in need of improvement were the social network, notifications, and the Saudi food database; a barcode feature was also recommended. Twazon users preferred and found the utility of seven of the thirteen evidence-informed weight-loss practices that were integrated into the features of the app. Conclusions: Triangulation identified the greatest discourse between user experience and two of the evidence-informed practices, namely a minimum weightloss goal of 1-2 lb per week and social networking; a strong discourse between evidence-informed weight-loss practices and the reported disparity in user experiences was highlighted. User expectations coincided with evidence-informed weight-loss practices and therefore did not provide any discourse.

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The perceived relative worth of reaching and maintaining goal weight

Cited by 26 publications

References 20 publications

Pretreatment predictors of attrition and successful weight management in women

Pretreatment predictors of attrition and successful weight management in women

Weight expectations, motivations for weight change and perceived factors influencing weight management in young Australian women: a cross-sectional study

Relationship Between Evidence Requirements, User Expectations, and Actual Experiences: Usability Evaluation of the Twazon Arabic Weight Loss App (Preprint)

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