Combination of very low energy diets and pharmacotherapy in the treatment of obesity: meta‐analysis of published data

Obesity has reached epidemic proportions globally, with more than 1 billion adults overweight – at least 300 million of them clinically obese – and is a major contributor to the global burden of chronic disease (heart disease and diabetes) and disability. The aim of the study was to perform a systematic review and meta‐analysis of published data on the combination of very low energy diets also known as very low calorie diets and pharmacotherapy for its effectiveness in the treatment of obesity. A MEDLINE (Pubmed) search from 1970 to 2009 using multiple combinations of the relevant terms was carried out; the matching articles were also searched for additional references. Meta‐analysis tools were used to summarize results. Only randomized controlled trials that compared pharmacotherapy with placebo after a very low energy diet period were selected, and six articles were finally considered to be appropriate for evaluation. The combination of very low energy diet and pharmacotherapy was found to be effective for people with obesity in clinical trials. The net effect of 6.1 kg placebo subtracted weight loss after 1 year represents a clinically meaningful result that is comparable with the effect of drugs given at the start of a weight loss programme. The present meta‐analysis contributes to the understanding that combination therapies are expected to achieve greater weight loss than monotherapy; grasping this understanding, researcher has introduced newer anti‐obesity pharmacological approaches have embraced combination therapies. Copyright © 2013 John Wiley & Sons, Ltd.     

Comparison of the Body Adiposity Index to Body Mass Index in Korean Women

Purpose

Obesity is a major public health issue and is associated with many metabolic abnormalities. Consequently, the assessment of obesity is very important. A new measurement, the body adiposity index (BAI), has recently been proposed to provide valid estimates of body fat percentages. The objective of this study was to compare the BAI and body mass index (BMI) as measurements of body adiposity and metabolic risk.

Materials and Methods

This was a cross-sectional analysis performed on Korean women. The weight, height, and hip circumferences of 2950 women (mean age 25±5 years old, 18-39 years) were measured, and their BMI and BAI [hip circumference (cm)/height (m)^1.5-18] values were calculated. Bioelectric impedance analysis was used to evaluate body fat content. Glucose tolerance status was assessed with a 75-g oral glucose tolerance test, and insulin sensitivity was estimated with the insulin sensitivity index.

Results

BMI was more significantly correlated with fat mass and fat percentage. Additionally, BMI was also more significantly associated with metabolic parameters, including fasting glucose, post-load 2-h glucose, fasting insulin, post-load 2-h insulin, triglycerides, and high density lipoprotein cholesterol than BAI. Receiver operating characteristic curve analysis revealed that BMI was a better tool for predicting body fat percentage than BAI. Insulin sensitivity and metabolic syndrome were more significantly associated with BMI than with BAI.

Conclusion

In Korean women, the current BMI-based classifications for obesity might be superior to BAI-based measurements for determining obesity and predicting metabolic risk.     

Visual identification of obesity by healthcare professionals: an experimental study of trainee and qualified GPs

Background

Guidelines suggest that GPs should intervene on patients’ weight, but to do so GPs must first recognise that a patient may have a weight problem and weigh them.

Aim

To examine whether GPs and trainee GPs can identify overweight and obese body weights by sight, and if this influences whether they would discuss weight with a potential patient.

Design and setting

Study of GPs and trainee GPs on the lists of the UK NHS Workforce West Midlands Deanery and NHS Sandwell and West Birmingham Clinical Commissioning Group.

Method

Participants viewed 15 standardised photographs of healthy-weight, overweight, and obese young males, and estimated their BMI, classified their weight status, and reported whether they would be likely to make a brief intervention for weight loss with that person.

Results

The sample of GPs and trainee GPs correctly classified a mean of 4.0/5.0 of the healthy weight males, a mean of 2.4/5.0 of the overweight, and a mean of 1.7/5.0 of the obese males. For each 1 kg/m² increase in actual BMI, participants underestimated BMI by −0.21 (95% CI = −0.22 to −0.18), meaning that participants would underestimate the BMI of a man of 30 kg/m² by approximately 2.5 kg/m², but were more accurate for lower body weights. Participants were more likely to intervene with those with a higher estimated BMI (OR 1.53, 95% CI = 1.49 to 1.58).

Conclusion

This sample of predominantly trainee GPs perceived overweight and obese weights as being of lower BMI and weight status than they actually are, and this was associated with a lower intention of discussing weight management with a potential patient. This was found to be true for trainee and fully qualified GPs who participated in the study. Healthcare professionals should not rely on visual judgements when identifying patients who may benefit from weight management treatment.     

Which weight-loss programmes are as effective as Weight Watchers??: Non-inferiority analysis

Background

Three randomised controlled trials have provided strong evidence that Weight Watchers^® is an effective weight-loss programme but there is insufficient evidence to determine whether three other weight-loss programmes are also effective.

Aim

To examine whether other group-based weight-loss programmes were not inferior to Weight Watchers.

Design and setting

A prospective cohort study using a non-inferiority analysis of 3290 adults referred through primary care.

Method

Participants who met the eligibility criteria for primary care obesity management treatment chose a free programme (Weight Watchers, Rosemary Conley Diet and Fitness Clubs, Slimming World or a NHS group programme) lasting 3 months; they were weighed at 3 months (programme end) and self-reported their weight at 12 months.

Results

At 3 months, weight loss achieved through Rosemary Conley and Slimming World was not inferior to Weight Watchers. The NHS group programme was inferior. At 12 months Slimming World and Rosemary Conley were not inferior to Weight Watchers, although participants using Slimming World lost significantly more weight than those using Weight Watchers. Data on the NHS group programme were inconclusive.

Conclusion

In the short term all commercial weight-loss programmes appear to result in similar weight loss but the NHS alternative appears to produce less weight loss. At 12 months Slimming World led to greater weight loss but the differences between commercial programmes was small and of minor clinical importance.     

Adipose invariant natural killer T cells

Adipose tissue is a dynamic organ that makes up a substantial proportion of the body; in severe obesity it can account for 50% of body mass. Details of the unique immune system resident in human and murine adipose tissue are only recently emerging, and so it has remained a largely unexplored and unappreciated immune site until now. Adipose tissue harbours a unique collection of immune cells, which often display unusual functions compared with their counterparts elsewhere in the body. These resident immune cells are key to maintaining tissue and immune homeostasis, yet in obesity their chronic aberrant stimulation can contribute to the inflammation and pathogenesis associated with obesity. Anti‐inflammatory adipose‐resident lymphocytes are often depleted in obesity, whereas pro‐inflammatory immune cells accumulate, leading to an overall inflammatory state, which is a key step in the development of obesity‐induced metabolic disease. A good example is invariant natural killer T (iNKT) cells, which make up a large proportion of lymphocytes in human and murine adipose tissue. Here, they are unusually poised to produce anti‐inflammatory or regulatory cytokines, however in obesity, iNKT cells are greatly reduced. As iNKT cells are potent transactivaors of other immune cells, and can act as a bridge between innate and adaptive immunity, their loss in obesity represents the loss of a major regulatory population. Restoring iNKT cells, or activating them in obese mice leads to improved glucose handling, insulin sensitivity, and even weight loss, and hence represents an exciting therapeutic avenue to be explored for restoring homeostasis in obese adipose tissue.     

What Can Providers Learn From Childhood Body Mass Index Trajectories: A Study of a Large,Safety-Net Clinical Population

ObjectiveTo describe childhood weight gain using body mass index (BMI) z-score trajectories in a low-income urban safety-net population and identify among gender- and race/ethnicity-specific groups any trends for increased risk.MethodsA retrospective cohort study was conducted among 2- to 12-year-old patients (2006–2013) visiting a safety-net provider. BMI z-score trajectories were calculated overall, for gender- and race/ethnicity-specific groups, and for peak BMI percentile subgroups to describe weight gain longitudinally.ResultsFrom 2006 to 2013, a total of 26,234 eligible children were followed for an average of 3.7 years. At baseline (mean age, 4.2 years), 74% of patients were at a normal weight compared to 65% at most recent observation (mean age, 7.8 years). All gender and race/ethnicity subgroups showed increasing average BMI z-scores during childhood. Children consistently under the 50th percentile and those of white race had the most stable BMI z-score trajectories. BMI z-score increased with increasing age in all subgroups. Hispanic boys and black girls had the most significant increase in BMI z-score during this observation period. Children observed in early childhood and whose BMI exceeded the 95th percentile at any time were often already overweight (20%) or obese (36%) by 3 years of age.ConclusionsThe entire population demonstrated an upward trend in BMI z-score trajectory. This trend was most notable among black girls and Hispanic boys. Many obese children were already overweight by age 3, and persistence of obesity after 3 years of age was high, suggesting that intervention before age 3 may be essential to curbing unhealthy weight trajectories.     

The number of cardiac myocytes in the hypertrophic and hypotrophic left ventricle of the obese and calorie-restricted mouse heart

Changes in body mass due to varying amounts of calorie intake occur frequently with obesity and anorexia/cachexia being at opposite sides of the scale. Here, we tested whether a high-fat diet or calorie restriction (CR) decreases the number of cardiac myocytes and affects their volume. Ten 6–8-week-old mice were randomly assigned to a normal (control group, n = 5) or high-fat diet (obesity group, n = 5) for 28 weeks. Ten 8-week-old mice were randomly assigned to a normal (control group, n = 5) or CR diet (CR group, n = 5) for 7 days. The left ventricles of the hearts were prepared for light and electron microscopy, and analysed by design-based stereology. In CR, neither the number of cardiac myocytes, the relationship between one- and multinucleate myocytes nor their mean volume were significantly different between the groups. In contrast, in the obese mice we observed a significant increase in cell size combined with a lower number of cardiomyocytes (P < 0.05 in the one-sided U-test) and an increase in the mean number of nuclei per myocyte. The mean volume of myofibrils and mitochondria per cardiac myocyte reflected the hypertrophic and hypotrophic remodelling in obesity and CR, respectively, but were only significant in the obese mice, indicating a more profound effect of the obesity protocol than in the CR experiments. Taken together, our data indicate that long-lasting obesity is associated with a loss of cardiomyocytes of the left ventricle, but that short-term CR does not alter the number of cardiomyocytes.