Predictors of very-low-energy diet outcome in obese women and men

Improving multidisciplinary management of patients living with obesity: The evaluation of seated bioimpedance measures and relationship to functional performance following targeted intervention

Management of obesity requires a multidisciplinary approach including physical activity interventions, which have significant impacts on overall health outcomes. Greater levels of lean muscle mass are significantly associated with improved health and reduced risk of comorbidities and should be preserved where possible when undertaking rapid weight loss. This article reports on the physical and functional outcomes achieved during a 12-week intensive multidisciplinary intervention targeting obesity and evaluates correlations between body composition and functional outcomes. We additionally aimed to investigate the test-retest reliability and levels of agreement in body composition measurements using bioimpedance spectroscopy between seated and standing positions. Of the 35 participants included in analysis, significant differences were observed between baseline and post-intervention measures. These included weight loss of 12.6 kg, waist circumference reduction of 10.5 cm, fat mass reduction by 2.9%, muscle mass increase by 1.6%, 54.5 m improvement in the 6-minute walk test and 3.8 rep improvement in the 30-second sit-to-stand test. No significant correlations were observed between physical and functional outcome measures. Excellent test re-test reliability was observed in bioimpedance spectroscopy seated measurements (ICC >.9). Significant differences were observed between seated and standing bioimpedance spectroscopy measurements, however they are regarded as small differences in a clinical setting.

Real world evidence on the characteristics of regular and intermittent users of a very-low calorie diet program and associations with measures of program success, health, and quality of life

Background

Very low-calorie diet (VLCD) programs are readily available in Australia. However, there is a lack of real-world evidence describing the characteristics related to positive outcomes.

Aims

To examine the demographic, eating, self-efficacy and program engagement characteristics of VLCD users in Australia, and the associations between user characteristics and program success, weight loss, quality of life (QOL) and health.

Method

Cross-sectional data from Australian adults: regular users (n = 189: VLCD user ≥4 days/week for >4 weeks) and intermittent users (n = 111, VLCD user <4 weeks and/or <4 days/week). Self-reported data on demographics, VLCD program use, support, eating behavior, weight-related QOL, mental health, physical health, self-efficacy, and physical activity. Descriptive and inferential statistics were performed in R.

Results

Compared to regular users, intermittent users reported lower percentage weight loss (15.1% ± SD 9.8 vs. 9.9% ± SD 6.8, relative to starting weight), fewer reported their VLCD program as very successful (44% vs. 35%), higher depressive symptom scores (8.7 ± SD 2.8 vs. 6.7 ± SD 5.1), and lower general self-efficacy (23.9 ± SD 4.7 vs. 29.4 ± SD 5.7), nutrition self-efficacy (11.9 ± SD 2.0 vs. 14.5 ± SD 3.1) and weight-related QOL scores (60.9 ± SD 22.2 vs. 65.0 ± SD 11.8; p < 0.001 for all). In regular users, older age and longer program duration were associated with greater total weight loss, support, and program success (p < 0.001 for all). In intermittent users, program success was greater when dietitian support was used (odds ratio [OR] 6.50) and for those with higher BMIs (OR 1.08, p < 0.001 for all). In both groups, more frequent support was associated with better weight-related QOL (p < 0.001).

Conclusion

This study provides real-world evidence that regular VLCD users had greater success and weight loss than intermittent program users. These findings may be used to tailor and improve the delivery of VLCD programs in Australia and other countries with retail access to VLCDs.

Efficacy of weight loss intervention can be predicted based on early alterations of fMRI food cue reactivity in the striatum

Increased fMRI food cue reactivity in obesity, i.e. higher responses to high- vs. low-calorie food images, is a promising marker of the dysregulated brain reward system underlying enhanced susceptibility to obesogenic environmental cues. Recently, it has also been shown that weight loss interventions might affect fMRI food cue reactivity and that there is a close association between the alteration of cue reactivity and the outcome of the intervention. Here we tested whether fMRI food cue reactivity could be used as a marker of diet-induced early changes of neural processing in the striatum that are predictive of the outcome of the weight loss intervention. To this end we investigated the relationship between food cue reactivity in the striatum measured one month after the onset of the weight loss program and weight changes obtained at the end of the six-month intervention. We observed a significant correlation between BMI change measured after six months and early alterations of fMRI food cue reactivity in the striatum, including the bilateral putamen, right pallidum, and left caudate. Our findings provide evidence for diet-induced early alterations of fMRI food cue reactivity in the striatum that can predict the outcome of the weight loss intervention.

A path model analysis on predictors of dropout (at 6 and 12 months) during the weight loss interventions in endocrinology outpatient division

INTRODUCTION

This study aimed to identify the dropout rate at 6 and 12 months from the first outpatient visit, and to analyze dropout risk factors among the following areas: biochemical examinations, anthropometric measures, psychological tests, personal data, and life attitude such as smoking, physical activity, and pathologies.

METHODS

This is a retrospective longitudinal observational study. Patients undergo an outpatient endocrinology visit, which includes collecting biographical data, anthropometric measurements, physical and pathological history, psychological tests, and biochemical examinations.

RESULTS

The sample consists of 913 subjects (682 women and 231 men), with an average age of 50.88 years (±15.80) for the total sample, with a BMI of 33.11 ± 5.65 kg/m². 51.9% of the patients abandoned therapy at 6 months after their first visit, and analyzing the dropout rate at 12 months, it appears that 69.5% of subjects abandon therapy. The main predictor of dropout risk factors at 6 and 12 months is the weight loss during the first 3 months (p < 0.05). As regards the hematological predictors, white blood cell and iron level stated dropout at 12 months. Patients who introduced physical activity had a reduction of - 17% (at 6 months) and -13% (at 12 months) of dropout risk (p < 0.05). As regards the "worker" status, patients classified as"retired" had a decrease risk of dropout vs. other categories of worker (i = 0.58; p < 0.05). Dropout risk at 12 months decrease in patients with a previous history of cancer, Endocrine and psychic and behavioral disorders (p < 0.001).

CONCLUSIONS

The main factor that predisposes patients to continue therapy or to abandon it is the success (or failure) of the diet in the initial period, based on weight lost (or not lost) in the early months of the initiation of therapy. Furthermore, considerable differences were found in different categories of "workers", and with previous "pathologies". The level of physical activity and previous diseases also seem to be predictors of dropout.

Characteristics of European adults who dropped out from the Food4Me Internet-based personalised nutrition intervention

OBJECTIVE

To characterise participants who dropped out of the Food4Me Proof-of-Principle study.

DESIGN

The Food4Me study was an Internet-based, 6-month, four-arm, randomised controlled trial. The control group received generalised dietary and lifestyle recommendations, whereas participants randomised to three different levels of personalised nutrition (PN) received advice based on dietary, phenotypic and/or genotypic data, respectively (with either more or less frequent feedback).

SETTING

Seven recruitment sites: UK, Ireland, The Netherlands, Germany, Spain, Poland and Greece.

SUBJECTS

Adults aged 18-79 years (n 1607).

RESULTS

A total of 337 (21 %) participants dropped out during the intervention. At baseline, dropouts had higher BMI (0·5 kg/m2; P<0·001). Attrition did not differ significantly between individuals receiving generalised dietary guidelines (Control) and those randomised to PN. Participants were more likely to drop out (OR; 95 % CI) if they received more frequent feedback (1·81; 1·36, 2·41; P<0·001), were female (1·38; 1·06, 1·78; P=0·015), less than 45 years old (2·57; 1·95, 3·39; P<0·001) and obese (2·25; 1·47, 3·43; P<0·001). Attrition was more likely in participants who reported an interest in losing weight (1·53; 1·19, 1·97; P<0·001) or skipping meals (1·75; 1·16, 2·65; P=0·008), and less likely if participants claimed to eat healthily frequently (0·62; 0·45, 0·86; P=0·003).

CONCLUSIONS

Attrition did not differ between participants receiving generalised or PN advice but more frequent feedback was related to attrition for those randomised to PN interventions. Better strategies are required to minimise dropouts among younger and obese individuals participating in PN interventions and more frequent feedback may be an unnecessary burden.

Evaluation of different obesity indices as predictors of type 2 diabetes mellitus in a Chinese population

BACKGROUND

The aim of the present study was to compare correlation coefficients between anthropometric indices and blood glucose level, and to determine optimal cutoff points of obesity indices in a Chinese population.

METHODS

2419 males and 5140 females participated in this study in Changchun city. Weight, height, WC (waist circumference) and hip circumference were measured; and BMI (body mass index), WHtR (waist height ratio), WHR (waist hip ratio) and BAI (body adiposity index) were calculated by formulas. FPG (fasting plasma glucose), PPG (post-load plasma glucose), HbA1c (glycosylated hemoglobin) and FSI (fasting serum insulin) were measured.

RESULTS

WHtR had the highest partial correlation coefficients with blood glucose and HbA1c in both males and females; however, BAI had the lowest coefficients. AUC (area under receiver operating characteristic curves) for WHtR in screening type 2 diabetes mellitus were higher than other indices. We confirmed that the optimal cutoff points of obesity for WHtR, WHR, WC, BMI and BAI were 0.55, 0.92, 88.1, 25.9 and 28.1 in males, and 0.52, 0.85, 81.6, 24.6 and 31.0 in females, respectively.

CONCLUSIONS

Central obesity correlates more closely to glucose metabolism in Chinese population than general obesity. WHtR is the best index to predict type 2 diabetes mellitus in Chinese adults.

Is drop-out from obesity treatment a predictable and preventable event?

Background

Attrition is an important but understudied issue that plays a vital role in the successful treatment of obesity. To date, most studies focusing on attrition rates and/or its predictors have been based on pretreatment data routinely collected for other purposes. Our study specifically aims at identifying the predictors of drop-out focusing on empirically or theoretically-based factors.

Methods

We conducted a retrospective observational study in an academic outpatient clinical nutrition service in Pavia, Italy. We examined a total of 98 adult obese patients (36 males, 62 females) who underwent a 6-month dietary behavioral weight-loss treatment at our Center. Pre-treatment and treatment-related variables were collected or calculated from clinical charts in order to discriminate those subjects who completed treatment from those who abandoned it before its completion. Multivariable regression analysis was used to identify the independent predictors of drop-out.

Results

The drop-out rates were 21% at 1 month and 57% at 6 months. Compared with completers, noncompleters were significantly younger in terms of age at first dieting attempt (24.0 ± 10.7 vs. 31.3 ± 11.2 years, P = 0.005), had lower diastolic blood pressure (87.8 ± 9.7 vs. 92.7 ± 11.4 mmHg, P = 0.022), had a lower baseline body fat percentage (38.5 ± 6.4 vs. 41.2 ± 4.4% weight, P = 0.015), and had a lower percentage of early weight loss (-1.8 ± 1.8% vs. -3.1 ± 2.1%, P = 0.035). Moreover, noncompleters significantly differed from completers with regard to type of referral (34.1% vs. 53.3% sent by a physician, P = 0.036) and SCL-90 anger-hostility subscale (0.83 ± 0.72 vs. 0.53 ± 0.51, P = 0.022). A multivariable logistic regression analysis including pre-treatment variables showed that body fat percentage (P = 0.030) and SCL-90 anger-hostility subscale (P = 0.021) were independently associated with attrition. In a multivariable model considering both pre-treatment and treatment-related factors, attrition was found to be independently related to the age at first dieting attempt (P = 0.016) and the achievement of early weight loss (P = 0.029).

Conclusions

Our data confirm that psychopathological tracts, early dieting attempts, and a poor initial treatment response are key independent predictors of drop-out from obesity treatment.

Caloric restriction induces changes in insulin and body weight measurements that are inversely associated with subsequent weight regain

BACKGROUND

Successful weight maintenance following weight loss is challenging for many people. Identifying predictors of longer-term success will help target clinical resources more effectively. To date, focus has been predominantly on the identification of predictors of weight loss. The goal of the current study was to determine if changes in anthropometric and clinical parameters during acute weight loss are associated with subsequent weight regain.

METHODOLOGY

The study consisted of an 8-week low calorie diet (LCD) followed by a 6-month weight maintenance phase. Anthropometric and clinical parameters were analyzed before and after the LCD in the 285 participants (112 men, 173 women) who regained weight during the weight maintenance phase. Mixed model ANOVA, Spearman correlation, and linear regression were used to study the relationships between clinical measurements and weight regain.

PRINCIPAL FINDINGS

Gender differences were observed for body weight and several clinical parameters at both baseline and during the LCD-induced weight loss phase. LCD-induced changes in BMI (Spearman's ρ = 0.22, p = 0.0002) were inversely associated with weight regain in both men and women. LCD-induced changes in fasting insulin (ρ = 0.18, p = 0.0043) and HOMA-IR (ρ = 0.19, p = 0.0023) were also associated independently with weight regain in both genders. The aforementioned associations remained statistically significant in regression models taking account of variables known to independently influence body weight.

CONCLUSIONS/SIGNIFICANCE

LCD-induced changes in BMI, fasting insulin, and HOMA-IR are inversely associated with weight regain in the 6-month period following weight loss.

Very-low-energy diets and morbidity: a systematic review of longer-term evidence

Evidence from the literature supports the safe use of very-low-energy diets (VLED) for up to 3 months in supervised conditions for patients who fail to meet a target weight loss using a standard low-fat, reduced-energy approach. There is, however, a need for longer-term outcomes on obesity and associated morbidities following a VLED. The present systematic review aims to investigate longer-term outcomes from studies using VLED, with a minimum duration of 12 months, published between January 2000 and December 2010. Studies conducted in both children and adults, with a mean/median BMI of ≥ 28 kg/m2 were included. PubMed, MEDLINE, Web of Science and Science Direct were searched. Reference lists of studies and reviews were manually searched. Weight loss or prevention of weight gain and morbidities were the main outcomes assessed. A total of thirty-two out of 894 articles met the inclusion criteria. The duration of the studies ranged from 12 months to 5 years. Periods of VLED ranged from 25 d to 9 months. Several studies incorporated aspects of behaviour therapy, exercise, low-fat diets, low-carbohydrate diets or medication. Current evidence demonstrates significant weight loss and improvements in blood pressure, waist circumference and lipid profile in the longer term following a VLED. Interpretation of the results, however, was restricted and conclusions with which to guide best practice are limited due to heterogeneity between the studies. The present review clearly identifies the need for more evidence and standardised studies to assess the longer-term benefits from weight loss achieved using VLED.

Predictors of dropout in weight loss interventions: a systematic review of the literature

Attendance and completion of weight loss intervention is associated with better weight loss outcomes; however, attrition is neither consistently reported nor comprehensively explored in the weight loss literature. A systematic review was undertaken to identify factors associated with attrition in weight loss interventions involving overweight or obese (body mass index ≥ 25) adults (18-65 years). Sixty-one studies published before May 2011 and addressing factors associated with weight loss programme attrition were identified. Conclusions were limited by the large number of variables explored, the small number of studies exploring each variable, the large variety of study settings and methodologies used, the inconsistent reporting of results, and the conflicting findings across studies. A consistent set of predictors has not yet been identified. The majority of studies relied on pre-treatment routinely collected data rather than variables selected because of their theoretical and/or empirical relationship with attrition. However, psychological and behavioural patient factors and processes associated with the treatment were more commonly associated with attrition than patient background characteristics. Future research should consider theoretically grounded social-psychological and behavioural processes as potential predictors of dropout. Identification of patients at risk of dropout will contribute to both the effectiveness and the cost-effectiveness of weight loss interventions.