Obesity and psychopathology in women: a three decade prospective study

Feasibility of the flipped classroom approach for health education in a clinical weight loss program

Aim

To assess the feasibility of the flipped classroom pedagogy in a clinical weight loss program and its impact on 6-month weight change.

Methods

Adults with overweight/obesity enrolled in a 6-month program with a structured diet (portion-controlled meals and fruits/vegetables) and exercise plan (≥150mins/week), plus weekly, 1-h group education sessions. Sessions used a flipped classroom approach: educational content was delivered beforehand via podcast/video and book readings and session time involved application-based activities (e.g., case studies, games). Satisfaction surveys were completed at 3 months. Weight change was assessed using paired t-tests (SAS 9.4, significance 0.05).

Results

Eighteen participants completed 6 months (retention 94%). Participants maintained diet adherence and exercise at 3 months (∼84% diet adherence, ∼153mins exercise/week) and 6 months (∼83% diet adherence, ∼158mins exercise/week), as well as attendance to behavioral sessions (3 months: 77%; 6mo: 71%). Satisfaction surveys showed high program enjoyment (∼8.1/10). Mean weight change at 3 and 6 months was -6.5 ± 4.2% and - 9.3 ± 5.0% (both p < 0.01), respectively.

Conclusion

The flipped classroom pedagogy was feasible for delivery in a clinical weight loss program and supported significant 6-month weight loss.

Innovation

This is the first evaluation of the flipped classroom in a clinical setting and supports the investigation of this pedagogy in weight management.

Beyond individual responsibility: Exploring lay understandings of the contribution of environments on personal trajectories of obesity

INTRODUCTION

Reversing the upward trajectory of obesity requires responding by including the multiple influences on weight control. Research has focused on individual behaviours, overlooking the environments where individuals spend their lives and shape lifestyles. Thus, there is a need for lay understandings of the impact of environments as a cause and solution to obesity. This research aimed to understand the influence of environments on the adoption of health practices in adults with obesity and to identify lay strategies with which to address environmental barriers to behaviour change.

METHODS

Nineteen adults with a history of obesity living in the United Kingdom were interviewed through video conferencing between May 2020 and March 2021. Semi-structured interviews and socio-demographic questionnaires were used, and data analysed through hermeneutic phenomenology informed reflexive thematic analysis.

RESULTS

Three main themes were created: living with convenience and normalcy: the increased accessibility of unhealthy food, people interacting with digital media for positive practice change, and the need to prioritise prevention in schools, the National Health Service and the food industry.

CONCLUSIONS

The food environment was the major barrier, while interactions with social media was the most important opportunity to adopt healthy practices. The National Health Service was considered an obesogenic environment, something relevant since it has been traditionally recognised as an obesity management system. The perceptions from individuals with a history of obesity provide new suggestions on the influence of previously overlooked environments to design more adequate and effective interventions and policies that consider, more than in the past, the environments where people spend their lives.

Association between body mass index and mental health among nurses: a cross-sectional study in China

PURPOSE

To examine the correlation between body mass index (BMI) and mental well-being in Chinese nurses during the COVID-19 epidemic.

METHOD

This study was conducted in a tertiary hospital using a cross-sectional design. A total of 2,811 nurses were enlisted at Shengjing Hospital in China during the period from March to April, 2022. Information was gathered through a questionnaire that individuals completed themselves. The mental health of the participants was assessed using the Patient Health Questionnaire-9 and the Generalized Anxiety Disorder Assessment-7. Binary logistic regression was used to calculate adjusted odds ratios (ORs) and their corresponding 95% confidence intervals.

RESULTS

The prevalence of nurses experiencing depression and anxiety was 7.8% (219) and 6.7% (189), respectively. Regarding depression after adjustment, the odds ratios (ORs) for each quartile, compared to the lowest quartile, were as follows: 0.91 (95% confidence interval [CI]: 0.53, 1.56), 2.28 (95% CI: 0.98, 3.77), and 2.32 (95% CI: 1.41, 3.83). The p-value for trend was found to be 0.001. The odds ratios (ORs) for anxiety after adjustment were 2.39 (0.83, 4.36), 4.46 (0.51, 7.93), and 2.81 (1.56, 5.08) when comparing the highest quartiles to the lowest quartile. The p-value for trend was 0.009.

CONCLUSION

This study found a positive association between BMI and poor mental health among nurses during the COVID-19 pandemic, particularly in those who were overweight or obesity. The findings could assist in developing interventions and help policy-makers establish appropriate strategies to support the mental health of frontline nurses, especially those who are overweight or obesity.

Multiple mediation of the association between childhood emotional abuse and adult obesity by anxiety and bulimia - a sample from bariatric surgery candidates and healthy controls

Bulimia, which means a person has episodes of eating a very large amount of food (bingeing) during which the person feels a loss of control over their eating, is the most primitive reason for being overweight and obese. The extended literature has indicated that childhood emotional abuse has a close relationship with adverse mood states, bulimia, and obesity. To comprehensively understand the potential links among these factors, we evaluated a multiple mediation model in which anxiety/depression and bulimia were mediators between childhood emotional abuse and body mass index (BMI). A set of self-report questionnaires, including the Childhood Trauma Questionnaire (CTQ), Beck Anxiety Inventory, Beck Depression Inventory (BDI), and Eating Disorder Inventory (EDI), was sent out. Clinical data from 37 obese patients (age: 29.65 ± 5.35, body mass index (BMI): 37.59 ± 6.34) and 37 demographically well-matched healthy people with normal body weight (age: 31.35 ± 10.84, BMI: 22.16 ± 3.69) were included in the investigation. We first performed an independent t-test to compare all scales or subscale scores between the two groups. Then, we conducted Pearson correlation analysis to test every two variables' pairwise correlation. Finally, multiple mediation analysis was performed with BMI as the outcome variable, and childhood emotional abuse as the predictive variable. Pairs of anxiety, bulimia, and depression, bulimia were selected as the mediating variables in different multiple mediation models separately. The results show that the obese group reported higher childhood emotional abuse (t = 2.157, p = 0.034), worse mood state (anxiety: t = 5.466, p < 0.001; depression: t = 2.220, p = 0.030), and higher bulimia (t = 3.400, p = 0.001) than the healthy control group. Positive correlations were found in every pairwise combination of BMI, childhood emotional abuse, anxiety, and bulimia. Multiple mediation analyses indicate that childhood emotional abuse is positively linked to BMI (β = 1.312, 95% CI = 0.482-2.141). The model using anxiety and bulimia as the multiple mediating variables is attested to play roles in the relationship between childhood emotional abuse and obesity (indirect effect = 0.739, 95% CI = 0.261-1.608, 56.33% of the total effect). These findings confirm that childhood emotional abuse contributes to adulthood obesity through the multiple mediating effects of anxiety and bulimia. The present study adds another potential model to facilitate our understanding of the eating psychopathology of obesity.

Association between visceral adiposity and generalized anxiety disorder (GAD)

BACKGROUND AND OBJECTIVES

Due to an increased rate of inflammation in generalized anxiety disorder (GAD), insight into the mediating factors in the onset and recurrence of the inflammatory response can help to achieve novel treatments for alleviating the risk of GAD. In the current study, we aimed to evaluate the possible relationship between visceral adipose tissue (VAT) as an important intermediary in inflammation pathways and GAD in participants of the Employees' Health Cohort Study of Iran (EHCSIR).

METHOD

We analyzed the data from 3889 included participants aged > 18 years in the EHCSIR study, which were collected from 2017 to 2020. Lifetime and 12-month GAD were assessed using the Composite International Diagnostic Interview (CIDI-2.1) questionnaire. The adjusted prevalence ratio was computed to evaluate the association between GAD and visceral adiposity index (VAI), GAD and visceral fat area (VFA), GAD and body mass index (BMI) and ultimately GAD and waist circumference (WC) in males and females using STATA software.

RESULTS

Log-binomial analysis showed a higher prevalence ratio of 12-month GAD associated with VFA in women [PR: 1.42, CI: 1.07-1.87, P: 0.015]. The prevalence of lifetime GAD was higher in obese women (BM1 > 30) [PR: 2.35, CI: 1.07-5.13, P:0.03] than in women with normal BMI. Women with higher VAI were also significantly more likely to suffer lifetime GAD [PR: 1.25, CI: 1.05]. 1.48, P:0.01]. In males, the prevalence of lifetime diagnosed GAD per 1 standard deviation increase in VFA was 0.65 [CI: 0.46-0.91, P: 0.01].

CONCLUSION

Visceral adiposity as a positive agent was associated with GAD prevalence in women. The presence of GAD symptoms showed no relationship to VFA in men.

ANMCO (Italian Association of Hospital Cardiologists) scientific statement: obesity in adults-an approach for cardiologists

Obesity is a complex, chronic disease requiring a multidisciplinary approach to its management. In clinical practice, body mass index and waist-related measurements can be used for obesity screening. The estimated prevalence of obesity among adults worldwide is 12%. With the expected further increase in overall obesity prevalence, clinicians will increasingly be managing patients with obesity. Energy balance is regulated by a complex neurohumoral system that involves the central nervous system and circulating mediators, among which leptin is the most studied. The functioning of these systems is influenced by both genetic and environmental factors. Obesity generally occurs when a genetically predisposed individual lives in an obesogenic environment for a long period. Cardiologists are deeply involved in evaluating patients with obesity. Cardiovascular risk profile is one of the most important items to be quantified to understand the health risk due to obesity and the clinical benefit that a single patient can obtain with weight loss. At the individual level, appropriate patient involvement, the detection of potential obesity causes, and a multidisciplinary approach are tools that can improve clinical outcomes. In the near future, we will probably have new pharmacological tools at our disposal that will facilitate achieving and maintaining weight loss. However, pharmacological treatment alone cannot cure such a complex disease. The aim of this paper is to summarize some key points of this field, such as obesity definition and measurement tools, its epidemiology, the main mechanisms underlying energy homeostasis, health consequences of obesity with a focus on cardiovascular diseases and the obesity paradox.Level of evidence V: report of expert committees.

Association between long-term weight loss and obesity-related complications defined by Edmonton obesity staging system: analysis from the NHANES (2011-2018)

BACKGROUND/OBJECTIVE

A successful Long-Term Weight Loss (LTWL) is associated with a more favorable metabolic disease risk profile. However, evidence is limited on the association of LTWL with obesity-related complications defined by Edmonton obesity staging system (EOSS). Hence, our study aims to assess the association between LTWL thresholds and obesity-related complications defined by EOSS among the adult US population.

SUBJECTS/METHODS

We used data from the National Health and Nutrition Examination Survey (NHANES) from 2011 to 2018. Adults 18 years or older with overweight/obesity and long-term weight loss were included in the analysis. The association between long-term weight loss and obesity-related complications defined by EOSS was investigated. A multivariable logistic regression model was employed by adjusting for potential covariates.

RESULTS

A total of 22,223 adults were included in the analysis. Overall, 61.8% of participants had long-term weight loss of <5%, and 4.8% of participants had successful long-term weight loss of 20% or greater. The highest long-term weight loss threshold ( ≥ 20%) had the lowest odds of EOSS stage ≥ 2 (odds ratio [OR] = 0.60; 95% CI:0.50, 0.72; p < 0.001). The lowest LTWL threshold (5-9.9%) was relatively associated with lower odds for EOSS stage ≥ 2 [OR = 0.69 95% CI: 0.61, 0.78, p < 0.001].

CONCLUSIONS

The LTWL categories were significantly associated with lower odds of EOSS stage ≥ 2 compared to EOSS 0 or 1. Future longitudinal research assessing the association between LTWL and EOSS components is recommended.

Maladaptive Eating Behaviours, Generalised Anxiety Disorder and Depression Severity: A Comparative Study between Adult Women with Overweight, Obesity, and Normal Body Mass Index Range

(1) Background: Causes of obesity are multifactorial and include genetic predisposition as well as behavioural, psychological, social, and hormonal influences. We aimed to compare adult women with normal weight, overweight, and obesity, with a focus on maladaptive eating behaviours, the presence of generalised anxiety disorder, and the severity of depression. Additionally, we explored the context of anti-obesity pharmacotherapy and the status of bariatric surgery. (2) Methods: The sample was composed of 1105 adult women. The following measures, through the Computer-Assisted Web Interview (CAWI), were used in the present study: the Three Factor Eating Questionnaire (TFEQ-R18), the 7-item Generalised Anxiety Disorders Scale (GAD-7), and the 9-item Patient Health Questionnaire (PHQ-9). (3) Results: All domains of the TFEQ-R18 had correlations with Body Mass Index (BMI). There was a weak negative association between BMI and Cognitive Restraint (r = -0.172, p < 0.001) and a weak positive relationship between BMI and Uncontrolled as well as Emotional Eating (r = 0.165, p < 0.001; r = 0.191, p < 0.001, respectively). Women who screened positive for anxiety scored lower in the Cognitive Restraint domain (10.11 ± 3.58, p = 0.042) and higher in the Uncontrolled Eating (12.69 ± 6.04, p < 0.001) and Emotional Eating (5.29 ± 2.75, p < 0.001) domains. Similarly, women screening positive for depression had lower scores in Cognitive Restraint (9.88 ± 3.61, p < 0.001) and higher scores in Uncontrolled Eating (12.64 ± 6.09, p < 0.001) and Emotional Eating (5.31 ± 2.71, p < 0.001). A significant association between liraglutide and semaglutide administration and Cognitive Restraint was observed. (4) Conclusions: Individualised treatment for obesity should consider the existing and confirmed association between maladaptive eating behaviours and generalised anxiety disorder, as well as the severity of depression influencing the BMI altogether. The use of anti-obesity pharmacotherapy needs further exploration because the evidence for the use of liraglutide and semaglutide in terms of positive associations with eating behaviours is encouraging.

Association between Sarcopenia and Reduced Bone Mass: Is Osteosarcopenic Obesity a New Phenotype to Consider in Weight Management Settings?

Sarcopenic obesity (SO) is a frequent phenotype in people with obesity; however, it is unclear whether this links with an impaired bone status. In this study, we aimed to investigate the association between SO and low bone mass, and to assess the prevalence of a new entity that combines excessive fat deposition, reduced muscle mass and strength, and low bone mass defined as osteosarcopenic obesity (OSO). Body composition was completed by a DXA scan in 2604 participants with obesity that were categorized as with or without SO, and with low or normal bone mineral content (BMC). Participants with both SO and low BMC were defined as OSO. Among the entire sample, 901 (34.6%) participants met the criteria for SO. This group showed a reduced mean BMC (2.56 ± 0.46 vs. 2.85 ± 0.57, p < 0.01) and displayed a higher prevalence of individuals with low BMC with respect to those without SO (47.3% vs. 25.9%, p < 0.01). Logistic regression analysis showed that the presence of SO increases the odds of having low BMC by 92% [OR = 1.92; 95% CI: (1.60-2.31), p < 0.05] after adjusting for age, body weight, and body fat percentage. Finally, 426 (16.4%) out of the total sample were affected by OSO. Our findings revealed a strong association between SO and reduced bone mass in adults with obesity, and this introduces a new phenotype that combines body fat, muscle, and bone (i.e., OSO) and appears to affect 16% of this population.

Low glycaemic index or low glycaemic load diets for people with overweight or obesity

BACKGROUND

The prevalence of obesity is increasing worldwide, yet nutritional management remains contentious. It has been suggested that low glycaemic index (GI) or low glycaemic load (GL) diets may stimulate greater weight loss than higher GI/GL diets or other weight reduction diets. The previous version of this review, published in 2007, found mainly short-term intervention studies. Since then, randomised controlled trials (RCTs) with longer-term follow-up have become available, warranting an update of this review.

OBJECTIVES

To assess the effects of low glycaemic index or low glycaemic load diets on weight loss in people with overweight or obesity.

SEARCH METHODS

We searched CENTRAL, MEDLINE, one other database, and two clinical trials registers from their inception to 25 May 2022. We did not apply any language restrictions.

SELECTION CRITERIA

We included RCTs with a minimum duration of eight weeks comparing low GI/GL diets to higher GI/GL diets or any other diets in people with overweight or obesity.

DATA COLLECTION AND ANALYSIS

We used standard Cochrane methods. We conducted two main comparisons: low GI/GL diets versus higher GI/GL diets and low GI/GL diets versus any other diet. Our main outcomes included change in body weight and body mass index, adverse events, health-related quality of life, and mortality. We used GRADE to assess the certainty of the evidence for each outcome.

MAIN RESULTS

In this updated review, we included 10 studies (1210 participants); nine were newly-identified studies. We included only one study from the previous version of this review, following a revision of inclusion criteria. We listed five studies as 'awaiting classification' and one study as 'ongoing'. Of the 10 included studies, seven compared low GI/GL diets (233 participants) with higher GI/GL diets (222 participants) and three studies compared low GI/GL diets (379 participants) with any other diet (376 participants). One study included children (50 participants); one study included adults aged over 65 years (24 participants); the remaining studies included adults (1136 participants). The duration of the interventions varied from eight weeks to 18 months. All trials had an unclear or high risk of bias across several domains.  Low GI/GL diets versus higher GI/GL diets Low GI/GL diets probably result in little to no difference in change in body weight compared to higher GI/GL diets (mean difference (MD) -0.82 kg, 95% confidence interval (CI) -1.92 to 0.28; I2 = 52%; 7 studies, 403 participants; moderate-certainty evidence). Evidence from four studies reporting change in body mass index (BMI) indicated low GI/GL diets may result in little to no difference in change in BMI compared to higher GI/GL diets (MD -0.45 kg/m2, 95% CI -1.02 to 0.12; I2 = 22%; 186 participants; low-certainty evidence)at the end of the study periods. One study assessing participants' mood indicated that low GI/GL diets may improve mood compared to higher GI/GL diets, but the evidence is very uncertain (MD -3.5, 95% CI -9.33 to 2.33; 42 participants; very low-certainty evidence). Two studies assessing adverse events did not report any adverse events; we judged this outcome to have very low-certainty evidence. No studies reported on all-cause mortality.    For the secondary outcomes, low GI/GL diets may result in little to no difference in fat mass compared to higher GI/GL diets (MD -0.86 kg, 95% CI -1.52 to -0.20; I2 = 6%; 6 studies, 295 participants; low certainty-evidence). Similarly, low GI/GL diets may result in little to no difference in fasting blood glucose level compared to higher GI/GL diets (MD 0.12 mmol/L, 95% CI 0.03 to 0.21; I2 = 0%; 6 studies, 344 participants; low-certainty evidence).  Low GI/GL diets versus any other diet Low GI/GL diets probably result in little to no difference in change in body weight compared to other diets (MD -1.24 kg, 95% CI -2.82 to 0.34; I2 = 70%; 3 studies, 723 participants; moderate-certainty evidence). The evidence suggests that low GI/GL diets probably result in little to no difference in change in BMI compared to other diets (MD -0.30 kg in favour of low GI/GL diets, 95% CI -0.59 to -0.01; I2 = 0%; 2 studies, 650 participants; moderate-certainty evidence). Two adverse events were reported in one study: one was not related to the intervention, and the other, an eating disorder, may have been related to the intervention. Another study reported 11 adverse events, including hypoglycaemia following an oral glucose tolerance test. The same study reported seven serious adverse events, including kidney stones and diverticulitis. We judged this outcome to have low-certainty evidence. No studies reported on health-related quality of life or all-cause mortality. For the secondary outcomes, none of the studies reported on fat mass. Low GI/GL diets probably do not reduce fasting blood glucose level compared to other diets (MD 0.03 mmol/L, 95% CI -0.05 to 0.12; I2 = 0%; 3 studies, 732 participants; moderate-certainty evidence).  AUTHORS' CONCLUSIONS: The current evidence indicates there may be little to no difference for all main outcomes between low GI/GL diets versus higher GI/GL diets or any other diet. There is insufficient information to draw firm conclusions about the effect of low GI/GL diets on people with overweight or obesity. Most studies had a small sample size, with only a few participants in each comparison group. We rated the certainty of the evidence as moderate to very low. More well-designed and adequately-powered studies are needed. They should follow a standardised intervention protocol, adopt objective outcome measurement since blinding may be difficult to achieve, and make efforts to minimise loss to follow-up. Furthermore, studies in people from a wide range of ethnicities and with a wide range of dietary habits, as well as studies in low- and middle-income countries, are needed.

Obesity as pleiotropic risk state for metabolic and mental health throughout life

Obesity, a highly prevalent disorder and central diagnosis of the metabolic syndrome, is linked to mental health by clinical observations and biological pathways. Patients with a diagnosis of obesity may show long-lasting increases in risk for receiving psychiatric co-diagnoses. Austrian national registry data of inpatient services from 1997 to 2014 were analyzed to detect associations between a hospital diagnosis of obesity (ICD-10: E66) and disorders grouped by level-3 ICD-10 codes. Data were stratified by age decades and associations between each pair of diagnoses were computed with the Cochran-Mantel-Haenszel method, providing odds ratios (OR) and p values corrected for multiple testing. Further, directions of the associations were assessed by calculating time-order-ratios. Receiving a diagnosis of obesity significantly increased the odds for a large spectrum of psychiatric disorders across all age groups, including depression, psychosis-spectrum, anxiety, eating and personality disorders (all p_corr < 0.01, all OR > 1.5). For all co-diagnoses except for psychosis-spectrum, obesity was significantly more often the diagnosis received first. Further, significant sex differences were found for most disorders, with women showing increased risk for all disorders except schizophrenia and nicotine addiction. In addition to the well-recognized role in promoting disorders related to the metabolic syndrome and severe cardiometabolic sequalae, obesity commonly precedes severe mental health disorders. Risk is most pronounced in young age groups and particularly increased in female patients. Consequently, thorough screening for mental health problems in patients with obesity is urgently called for to allow prevention and facilitate adequate treatment.

The association of depressive symptoms and body weight change in midlife - Results from the Gutenberg Health Study in Germany

BACKGROUND

The present study aimed to investigate how depressive symptoms affect bodyweight change (gain and loss), and how this association is intertwined with other psychosocial and biomedical factors in the adult general population.

METHODS

In a population-based, prospective, observational single-center cohort study in the Rhine-Main-Region, Germany (Gutenberg Health Study GHS) with N = 12,220 participants, we analyzed baseline and five year follow-up data with logistic regressions separately for bodyweight gain and loss (vs. stable bodyweight).

RESULTS

Overall, 19.8 % of participants gained bodyweight of at least 5 %. More female participants were affected than male participants (23.3 % vs. 16.6 %). Regarding weight loss, overall, 12.4 % lost >5 % of bodyweight; participants were more often female than male (13.0 % vs. 11.8 %). Depressive symptoms at baseline were associated with weight gain (OR = 1.03, 95 % CI = 1.02-1.05). In models controlling for psychosocial and biomedical factors, female gender, younger age, lower socioeconomic status and smoking cessation were associated with weight gain. In weight loss, there was no overall significant effect of depressive symptoms (OR = 1.01 [0.99; 1.03]). Weight loss was associated with female gender, diabetes, less physical activity, and higher BMI at baseline. Only in women, smoking and cancer were associated with weight loss.

LIMITATIONS

Depressive symptoms were assessed via self-report. Voluntary weight loss cannot be determined.

CONCLUSIONS

Significant weight change frequently occurs in middle to old adulthood resulting from a complex interplay of psychosocial and biomedical factors. Associations with age, gender, somatic illness and health behavior (e.g. smoking cessation) provide important information for the prevention of unfavorable weight change.

Effect of obesity and sociodemographic factors on chronic pain: a cohort study in general practice

Background. Obesity is a component of metabolic syndrome, a separate disease, and a predictor of most chronic diseases. In recent decades, increasing attention has been paid to the effect of obesity on chronic localized pain. Aim. To determine the clinical characteristics of chronic localized pain depending on the body mass index and sociodemographic factors. Materials and methods. The study enrolled 112 eligible patients, 37 (33%) males and 75 (67%) females aged 19 to 65 years, with a mean age of 40 [32; 40] years. Patients were divided into three groups depending on the body mass index. All patients underwent a comprehensive general clinical examination, including an assessment of the pain prevalence and duration, the number of exacerbations in the current year, the pain severity using the Numeric Pain Rating Scale (NPRS), and the number of pain descriptors. Results. Obese patients experience more severe pain (p=0.004), are prone to prolonged (p=0.010) and frequent exacerbations (p=0.004), and use more lexical units to describe the pain (p=0.001). The main pain sites associated with obesity are the upper (p=0.023) and lower extremities (p=0.002). The overweight group falls between obese subjects and those with normal body weight and, by many parameters, is similar to the normal body weight group. It was noted that age worsens the pain; thus, with age, the number of exacerbations per year (p=0.006) and the duration of exacerbations (p=0.016) increase, and a direct correlation of age with the pain prevalence and the number of descriptors was revealed (r=0.271; p=0.004 and r=0.267; p=0.004, respectively). The most severe pain occurs in females. In contrast, physical activity reduces the number and duration of exacerbations and the prevalence of pain (p=0.004; p=0.048; p=0.015, respectively). Conclusion. Obesity, older age, and female gender are associated with more severe chronic pain. Body weight loss in obese patients with pain, as well as lifestyle modification with increased physical activity, is an essential aspect of overall rehabilitation, although additional studies are needed to establish strategies for maintaining long-term effects.

The Risk of Sarcopenia among Adults with Normal-Weight Obesity in a Nutritional Management Setting

Normal-weight obesity (NWO) is a phenotype characterized by excessive body fat (BF) despite normal body weight. We aimed to assess the association between NWO and the risk of sarcopenia. Two groups of patients with a normal body mass index [BMI (20-24.9 kg/m2)] were selected from a large cohort of participants. Body composition was measured using dual-energy X-ray absorptiometry (DXA), and 748 participants were categorized as NWO or normal-weight without obesity (NWNO) and were classed according to whether or not they were at risk of sarcopenia. The "NWO group" included 374 participants (cases), compared to 374 participants (controls) in the "NWNO group", all of a similar BMI, age and gender. The participants in the "NWO group" displayed a higher prevalence of the risk of sarcopenia than the control group across both genders (0.6% vs. 14.1% in males; 1.4% vs. 36.5% in females). Regression analysis showed that being in the NWO category increased the risk of sarcopenia 22-fold in males (RR = 22.27; 95%CI: 3.35-147.98) and 25-fold in females (RR = 25.22; 95%CI: 8.12-78.36), compared to those in the NWNO category. In a "real-world" nutritional setting, the assessment of body composition to identify NWO syndrome is vital since it is also associated with a higher risk of sarcopenia.

Efficacy and mechanisms of change in exposure-based and cognitive stand-alone body image interventions in women with overweight and obesity

OBJECTIVE

Body dissatisfaction is highly prevalent in overweight and obesity, while evidence for the efficacy of body image interventions is still scarce. This interventional pilot study investigates the efficacy and mechanisms of change of two stand-alone body image interventions in women with overweight and obesity.

METHODS

Women with overweight and obesity (n = 76) were randomly assigned to five weekly sessions of either a mirror exposure (ME) or a cognitive restructuring intervention (CR) or to a wait-list control group (WCG). Primary outcome measures were self-reported body dissatisfaction and interview-based shape concerns; depression, self-esteem and emotional eating served as secondary outcome measures. Experimental paradigms were used prior to and after the interventions to analyze possible mechanisms of change: (a) Implicit Associations Tests to assess weight-related attitudes (b) eye-tracking experiments to assess visual processing of body pictures and (c) a thought-sampling procedure to assess body-related cognitions and arousal.

RESULTS

According to intent-to-treat analyses using linear mixed-models, both interventions lead to significant improvements in body image, while there were no changes in the WCG. Different mechanisms of change were identified.

CONCLUSIONS

Both types of interventions might be effective in the reduction of self-reported body dissatisfaction and interview-based shape concerns in overweight and obesity. However, as different mechanisms drive the effects, future research should clarify which individual might best benefit from which intervention.

New BMI Cut-Off Points for Obesity in Middle-Aged and Older Adults in Clinical Nutrition Settings in Italy: A Cross-Sectional Study

Obesity is a major health problem defined as an excess accumulation of body fat (BF). The World Health Organization (WHO) usually relies on a body mass index (BMI) ≥ 30 kg/m2 as an indicator of obesity. Due to changes in body composition that occur across the lifespan, with an increase in BF and a decrease in lean mass, we aimed to test the validity of this BMI cut-off point for adiposity in middle-aged and older adults. This cross-sectional study, composed of 4800 adults of mixed gender aged between 40 and 80 years, included (according to the WHO BMI classification) 1087 normal-weight, 1826 overweight, and 1887 obese individuals who were referred to the Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Italy. The sample was then categorized by adiposity status based on the total BF% as measured by dual-energy X-ray absorptiometry (DXA), and the best sensitivity and specificity were attained for predicting obesity according to the receiver operating characteristic curve (ROC) analysis. In a real-world clinical setting, a new BMI cut-off point (BMI = 27.27 kg/m2) has been identified for predicting obesity in middle-aged and older adults. Obesity guidelines in Italy therefore need to be revised accordingly.

Modeling interaction networks between host, diet, and bacteria predicts obesogenesis in a mouse model

Host-microbiome interactions are known to have substantial effects on human health, but the diversity of the human microbiome makes it difficult to definitively attribute specific microbiome features to a host phenotype. One approach to overcoming this challenge is to use animal models of host-microbiome interaction, but it must be determined that relevant aspects of host-microbiome interactions are reflected in the animal model. One such experimental validation is an experiment by Ridura et al. In that experiment, transplanting a microbiome from a human into a mouse also conferred the human donor's obesity phenotype. We have aggregated a collection of previously published host-microbiome mouse-model experiments and combined it with thousands of sequenced and annotated bacterial genomes and metametabolomic pathways. Three computational models were generated, each model reflecting an aspect of host-microbiome interactions: 1) Predict the change in microbiome community structure in response to host diet using a community interaction network, 2) Predict metagenomic data from microbiome community structure, and 3) Predict host obesogenesis from modeled microbiome metagenomic data. These computationally validated models were combined into an integrated model of host-microbiome-diet interactions and used to replicate the Ridura experiment in silico. The results of the computational models indicate that network-based models are significantly more predictive than similar but non-network-based models. Network-based models also provide additional insight into the molecular mechanisms of host-microbiome interaction by highlighting metabolites and metabolic pathways proposed to be associated with microbiome-based obesogenesis. While the models generated in this study are likely too specific to the animal models and experimental conditions used to train our models to be of general utility in a broader understanding of obesogenesis, the approach detailed here is expected to be a powerful tool of investigating multiple types of host-microbiome interactions.

Factorial Model of Obese Adolescents: The Role of Body Image Concerns and Selective Depersonalization-A Pilot Study

BACKGROUND

The relationship binding body weight to psychological well-being is unclear. The present study aims at identifying the contribution, and specificity, of some dimensions (i.e., eating-related symptoms, body image disorders, eating habits, personality traits, and emotional difficulties) characterizing the psychological profile of obese adolescents (749 participants, 325 females; 58.3% normal-weight, 29.9% overweight, and 11.7% obese; mean age = 16.05, SD = 0.82).

METHODS

By introducing the scores obtained by standardized self-report tools into a generalized linear model, a factorial reduction design was used to detect the best fitting discriminant functions and the principal components explaining the higher proportion of the variance.

RESULTS

We found two discriminant functions correctly classifying 87.1% of normal-weight, 57.2% of overweight, and 68.2% of obese adolescents. Furthermore, two independent factors, explaining 69.68% of the total variance, emerged.

CONCLUSIONS

The first factor, "Body Image Concerns", included the drive for thinness, body dissatisfaction, and interpersonal distrust. The second factor, "Selective Depersonalization", included a trend toward depersonalization and dissatisfaction with the torso. The neurophysiological implications of our findings will be discussed.

Obesity induces adipose fibrosis and collagen cross-linking through suppressing AMPK and enhancing lysyl oxidase expression

Collagen is the main component of connective tissue surrounding adipocytes. Collagen cross-linking affects adipose remodeling, which is crucial for maintaining function and metabolic homeostasis of adipose tissue. However, the effects of obesity on collagen cross-linking and adipose fibrosis remain to be examined. Therefore, the objective of this study was to investigate obesity-induced collagen cross-linking in adipose tissue and explore the underlying mechanisms. We found that obesity increased mature nonreducible collagen cross-linking in white adipose tissue (WAT) of mice, which was associated with inhibition of AMPK, up-regulation of transforming growth factor-β (TGF-β) signaling and the expression of lysyl oxidase (LOX), a key enzyme catalyzing the synthesis of mature cross-linking products. In SVCs and 3T3-L1 adipocytes, AMPK activation by metformin or AICAR inhibited TGF-β1-induced fibrogenesis and expression of LOX, which was further confirmed by ectopic expression of AMPK WT and K45R mutant. Consistently, in vivo, knocking out AMPK increased fibrosis and collagen cross-linking. Our study showed that AMPK downregulation due to obesity increases TGF-β signaling and LOX expression, which enhances adipose fibrosis and collagen cross-linking. Thus, AMPK is a therapeutic target for ameliorating the obesity-induced fibrosis, improving metabolic health of adipose tissue.

Body Mass Index and risk for onset of mood and anxiety disorders in the general population: Results from the Netherlands Mental Health Survey and Incidence Study-2 (NEMESIS-2)

BACKGROUND

Examine the onset of a clinical diagnosis of mood (major depression, dysthymia and bipolar disorder)- and anxiety disorders (panic disorder, agoraphobia without panic disorder, social phobia, specific phobia and generalized anxiety disorder) by Body Mass Index levels at baseline in the general adult population over three years.

METHODS

Data are from NEMESIS-2, a representative psychiatric cohort study in the Netherlands. A total of 5303 subjects aged 18-64 were interviewed with the CIDI (3.0 based on DSM-IV) in two waves, with an interval of three years. The first wave was performed from November 2007 to July 2009, the second wave from November 2010 to June 2012.

RESULTS

Persons with obesity at baseline had a significantly increased risk of the onset of any mood -or anxiety disorder adjusting for covariates compared to persons with a normal Body Mass Index (OR = 1.71; 95% CI: 1.11-2.62). The odds ratio of the underweight category was non-significant. A dose-response effect of the continuous BMI scores on the onset of any mood or anxiety disorder was found (OR = 1.06; 95% CI: 1.02 = 1.10; p < 0.01).

CONCLUSIONS

Obesity at baseline is a risk for the onset of mood -and anxiety disorders at three year follow up.

Key Focus Group Themes to Inform Weight Management Interventions in Deep South African Americans

OBJECTIVE

To understand African Americans' perceptions, barriers, and facilitators to recruitment, enrollment, adoption, maintenance, and retention in a nutrition and physical activity promotion program.

DESIGN

Four focus groups were conducted.

SETTING

Two community settings located in Jackson and Hattiesburg, Mississippi.

PARTICIPANTS

Participants (n = 28) were aged 18-50 years.

MAIN OUTCOME MEASURE(S)

Barriers and facilitators associated with healthy eating, physical activity, achieving a healthy weight, and participation in a health behavior change program.

ANALYSIS

A conventional thematic content analysis approach includes data familiarization, initial code generation, initial theme generation, themes review, and team review for finalization of themes.

RESULTS

Major themes related to health behaviors and participation in a behavior change program were identified by participants, including time constraints, costs, social support, consistency and self-efficacy, motivation for longevity and disease prevention, physical appearance, fear of injury/pain, social norms/stigma associated with outdoor physical activity, body criticism from family members, and having empathic and validating program staff support.

CONCLUSIONS AND IMPLICATIONS

Several social determinants of health were identified as essential considerations for promoting healthy nutrition and physical activity behaviors among African American adult Mississippians. Cultural and spiritual implications were also identified. Study insights inform policy approaches for designing culturally appropriate health behavior change programs in the Deep South.

Demographic and clinical profiles of residents in long-term care facilities in South Africa: A cross-sectional survey

BACKGROUND

 The demand for long-term care facilities (LTCFs) amongst older people in South Africa (SA) is growing and there is insufficient information on the profile and healthcare needs of this population.

AIM

 This study was conducted to describe the demographic and clinical characteristics of residents in LTFCs in SA.

SETTING

 Three LTCFs in eThekwini district.

METHODS

 A cross-sectional design was used to collect data from a purposive sample of 102 (N = 204) residents. A structured questionnaire was used to collect demographic and clinical data. The data were entered into Microsoft Excel and analysed descriptively and inferentially using R version 3.5.1 software.

RESULTS

 The majority of the residents (59.8%) were between 65 and 80 years (78.9 ± 8.1 years) and 74.5% were women. The residents were white people (91.1%), SA born (82.4%) and widowed (54.9%). English was the primary language (91.1%), with the majority being christian (52.0%). Some residents had a university education, were previously employed and are financially independent. Ninety-three percent had clinical conditions, each suffering from at least three clinical conditions. Hypertension (63.7%), high cholesterol (53.9%), arthritis (38.2%), depression (37.3%) were the most prevalent clinical conditions recorded amongst the residents. Most residents were assessed to be intermediately frail, at risk of malnutrition and had mild depression as based on the respective mean frailty-, nutrition-, and geriatric depression scores.Conc lusion: Residents in LTCFs in the eThekwini district are more likely to be white people; women, christian, widowed, intermediately frail and at risk of malnutrition.

Computer-delivered intervention for individuals with obesity and elevated anxiety sensitivity: feasibility, acceptability, and initial test

Obesity is one the fastest growing public health problems related to numerous chronic diseases and frequently co-occurs with negative mood states. One promising approach to address the heterogeneity of affective vulnerabilities and obesity is to focus on processes (e.g. anxiety sensitivity [AS]) that underpin both conditions. Thus, this study aimed to evaluate the feasibility, acceptability, and initial efficacy of a brief, computer-delivered AS reduction program (AST) for adults with obesity and elevated AS. Participants were 131 individuals with obesity and elevated AS who received either AST or a health information control (HC). Latent growth curve modeling was utilized to examine the effect of treatment condition on change in AS, emotional eating, expectancies of eating to manage mood, and exercise self-efficacy from baseline to 1-week, 2-weeks, and 1-month follow-up. Results indicated it was feasible to recruit and retain individuals with obesity and elevated AS through the 1-month follow-up. Positive qualitative feedback was also provided for both AST and HC. AST was a statistically significant predictor of change in expectancies of eating to manage negative affect. No other statistically significant treatment effects were indicated. Current data provide initial empirical support for future work focused on persons with obesity and elevated AS.

Higher adiposity and mental health: causal inference using Mendelian randomization

Higher adiposity is an established risk factor for psychiatric diseases including depression and anxiety. The associations between adiposity and depression may be explained by the metabolic consequences and/or by the psychosocial impact of higher adiposity. We performed one- and two- sample Mendelian randomization (MR) in up to 145 668 European participants from the UK Biobank to test for a causal effect of higher adiposity on 10 well-validated mental health and well-being outcomes derived using the Mental Health Questionnaire (MHQ). We used three sets of adiposity genetic instruments: (a) a set of 72 BMI genetic variants, (b) a set of 36 favourable adiposity variants and (c) a set of 38 unfavourable adiposity variants. We additionally tested causal relationships (1) in men and women separately, (2) in a subset of individuals not taking antidepressants and (3) in non-linear MR models. Two-sample MR provided evidence that a genetically determined one standard deviation (1-SD) higher BMI (4.6 kg/m2) was associated with higher odds of current depression [OR: 1.50, 95%CI: 1.15, 1.95] and lower well-being [ß: -0.15, 95%CI: -0.26, -0.04]. Findings were similar when using the metabolically favourable and unfavourable adiposity variants, with higher adiposity associated with higher odds of depression and lower well-being scores. Our study provides further evidence that higher BMI causes higher odds of depression and lowers well-being. Using genetics to separate out metabolic and psychosocial effects, our study suggests that in the absence of adverse metabolic effects higher adiposity remains causal to depression and lowers well-being.

Implicit Attitudes Towards Weight, One’s Own Body and its Relation to Food in Women with Overweight and Obesity

Background

Theoretical models emphasize the importance of implicit self-related weight attitudes for the maintenance of body dissatisfaction. Even though body dissatisfaction is increased in obesity, only general implicit weight-related attitudes have been investigated so far. Therefore, the present study assessed self-related and general implicit weight attitudes and their relation to food.

Methods

Women with overweight and obesity (OW; n = 71) and women with normal weight (NW; n = 44) completed three implicit tasks to (1) assess attitudes towards persons with normal weight and overweight in general, (2) attitudes towards one’s own body, and (3) the association between one’s own body and food.

Results

While both groups showed an implicit preference towards persons with normal weight relative to persons with overweight, only women with OW showed a significantly stronger negative implicit attitude towards their own body and a stronger association between food and one’s own body. Additionally, self-related and not general implicit weight attitudes correlated significantly with body dissatisfaction and eating pathology.

Conclusions

The results highlight the importance of self-related implicit attitudes and their relation to body dissatisfaction and eating pathology in women with overweight and obesity. Targeting these self-related implicit weight attitudes might help to improve obesity treatments.

Metabolic variables associated with response to cognitive behavioural therapy for depression in females: A Canadian biomarker integration network for depression (CAN-BIND) study

INTRODUCTION

Cognitive behavioural therapy (CBT) is an established first-line treatment for depression; however, it remains unclear which factors predict a positive outcome with this approach. Prior work suggests that co-morbid obesity predicts a poorer response to antidepressant medication. The current study examined whether there is an association between weight parameters and improvement of depressive symptoms with CBT.

METHODS

This was a secondary analysis of data from the "Clinical and Biological Markers of Response to Cognitive Behavioural Therapy for Depression - 6" (CANBIND-6; https://clinicaltrials.gov/ct2/show/NCT02883257) study. Adult participants (n = 41) with a diagnosis of Major Depressive Disorder (MDD) or Persistent Depressive Disorder (PDD) were recruited from an outpatient tertiary psychiatric centre in Canada. Participants completed 20 individual sessions of CBT over 16 weeks. The primary measure for treatment outcome was the Montgomery-Åsberg Depression Rating Scale (MADRS) total score at week 16.

RESULTS

Thirty-seven participants completed assessments pre and post CBT. Baseline weight parameters were not correlated with treatment response to CBT in the entire group. There was a significant sex*waist circumference (WC) (B:-1.34; p = 0.004) and sex*body mass index (BMI) interaction (B:-2.03; p:0.009). In female participants, baseline waist circumference, but not BMI, significantly predicted week 16 MADRS after controlling for age and baseline MADRS (B:0.422 p:0.049).

LIMITATIONS

The major limitation of our preliminary finding is the small sample size.

CONCLUSION

Our preliminary findings suggest that higher waist circumference may be associated with a better treatment response to CBT for depression in females. This result could be of clinical relevance and warrants further investigation in larger and independent samples.

Evolving Use of Continuous Glucose Monitoring Beyond Intensive Insulin Treatment

Numerous studies have demonstrated the clinical benefits of continuous glucose monitoring (CGM) use in individuals with type 1 diabetes and type 2 diabetes (T2D) who are treated with intensive insulin therapy. A growing body of evidence suggests that CGM use may also confer similar glycemic benefits in T2D individuals who are treated with less-intensive therapies. Investigators are also exploring the potential use of CGM as an aid in weight management. This article reviews the continuing evolution of CGM, focusing on how CGM may be used to improve glycemic control and promote adoption of desired health behaviors within broader T2D and prediabetes populations.

Diet, Obesity, and Depression: A Systematic Review

BACKGROUND

Obesity and depression co-occur in a significant proportion of the population. Mechanisms linking the two disorders include the immune and the endocrine system, psychological and social mechanisms. The aim of this systematic review was to ascertain whether weight loss through dietary interventions has the additional effect of ameliorating depressive symptoms in obese patients.

METHODS

We systematically searched three databases (Pubmed, Medline, Embase) for longitudinal clinical trials testing a dietary intervention in people with obesity and depression or symptoms of depression.

RESULTS

Twenty-four longitudinal clinical studies met the eligibility criteria with a total of 3244 included patients. Seventeen studies examined the effects of calorie-restricted diets and eight studies examined dietary supplements (two studies examined both). Only three studies examined people with a diagnosis of both obesity and depression. The majority of studies showed that interventions using a calorie-restricted diet resulted in decreases in depression scores, with effect sizes between ≈0.2 and ≈0.6. The results were less clear for dietary supplements.

CONCLUSIONS

People with obesity and depression appear to be a specific subgroup of depressed patients in which calorie-restricted diets might constitute a promising personalized treatment approach. The reduction of depressive symptoms may be related to immunoendocrine and psychosocial mechanisms.

Body Mass Index as a Moderator of Treatment Response to Ketamine for Major Depressive Disorder

PURPOSE/BACKGROUND

Major depressive disorder (MDD) and obesity commonly co-occur. We sought to assess the impact of body mass index (BMI) on the acute antidepressant effects of ketamine in patients with treatment-resistant depression.

METHODS/PROCEDURES

Post hoc analyses were conducted from a multisite, randomized, double-blind, placebo-controlled trial designed to assess the rapid-onset effects of intravenous ketamine. Patients (n = 99) were randomized to a single dose administration of ketamine 0.1 mg/kg (n = 18), ketamine 0.2 mg/kg (n = 20), ketamine 0.5 mg/kg (n = 22), ketamine 1.0 mg/kg (n = 20), or active placebo, midazolam 0.045 mg/kg (n = 19). Patients were stratified for BMI. For patients randomized to ketamine (n = 80), BMI was assessed as a continuous variable and also categorically (obese, overweight, not obese/overweight [reference]). The primary outcome measure was the change on the 6-item Hamilton Depression Rating Scale 24 hours after treatment. Outcomes at day 3 were also assessed.

FINDINGS/RESULTS

The 6-item Hamilton Depression Rating Scale change scores at 24 hours were inversely associated with BMI (-0.28 ± 0.12, P = 0.02). With BMI operationalized categorically, both obese (-4.15 ± 1.41, P = 0.004) and overweight (-1.99 ± 1.14, P = 0.08) categories were inversely related to the 6-item Hamilton Depression Rating Scale change score at 24 hours, statistically significant for the obese category, as compared with the reference group. Similar but weaker findings were observed at 72 hours after infusion.

IMPLICATIONS/CONCLUSIONS

Higher BMI and obesity were associated with a more robust acute antidepressant response to ketamine. This may have clinical relevance for a great number of patients who have both MDD and obesity.

CLINICAL TRIAL REGISTRATION

NCT01920555.

Motivational Interviewing for Weight Management Among Women: a Meta-Analysis and Systematic Review of RCTs

BACKGROUND

Motivational interviewing (MI) is a communication skill set used by clinicians to help facilitate adherence to numerous health behaviors. Currently, MI's evidence supports its use among adults in various realms; however, clarity is needed regarding weight management among females. The purpose of this systematic review and meta-analysis is to synthesize the literature examining the use of MI and its impact on anthropometric measures among adult females.

METHOD

The authors conducted a modified Cochrane method of systematic search and review in several relevant databases to explore and report evidence and gaps in the literature for MI in weight management among females in addition to meta-analyses for weight and BMI. Criteria for retention included randomized controlled trials with open inclusion of studies with varied settings, methods, interventionists, target behaviors, and outcomes.

RESULTS

Of the 3289 references initially identified, 10 intervention arms met the criteria across review tiers. Seven of 10 intervention groups reported significant anthropometric changes compared with a control group, as well as significant changes in non-anthropometric outcomes related to weight management. Using a random-effects model, the effect size of MI on reduction in body weight (kg) was 0.19 (95% CI - 0.13, 0.26; p < 0.01), and the effect size of MI on reduction in BMI was 0.35 (95% CI 0.12, 0.58; p < 0.01).

CONCLUSIONS

Results suggest that MI interventions are useful for weight management among females. Future studies would enhance the current base of literature by utilizing advanced anthropometric outcomes, including sex-specific results, and including more diverse and larger sample sizes.

Association of a genetic risk score with BMI along the life-cycle: Evidence from several US cohorts

We use data from the National Longitudinal Study of Adolescent to Adult Health and from the Health and Retirement Study to explore how the effect of individuals’ genetic predisposition to higher BMI —measured by BMI polygenic scores— changes over the life-cycle for several cohorts. We find that the effect of BMI polygenic scores on BMI increases significantly as teenagers transition into adulthood (using the Add Health cohort, born 1974-83). However, this is not the case for individuals aged 55+ who were born in earlier HRS cohorts (1931-53), whose life-cycle pattern of genetic influence on BMI is remarkably stable as they move into old-age.

Neighborhood-Level Analysis on the Impact of Accessibility to Fast Food and Open Green Spaces on the Prevalence of Obesity

BACKGROUND

The complex epidemiology of obesity includes environmental factors. We examined how accessibility to fast food restaurants and green spaces is associated with obesity.

METHODS

We used geocoded body mass index values of 20,927 subjects that visited the largest statewide health care network in Rhode Island. Spatial analysis and logistic regression were used to examine the association of obesity at the individual level, and obesity hot and cold spots with the accessibility to fast food restaurants and green space areas.

RESULTS

The age-adjusted prevalence of obesity in our sample was 33%. Obese subjects were less likely to live in neighborhoods with the highest accessibility to green space areas (odds ratio [OR] 0.89; 95% confidence interval [CI], 0.81-0.97), compared with neighborhoods with low accessibility. Obese subjects were more likely to live in neighborhoods with medium or high accessibility to fast food restaurants (OR 1.22; 95% CI, 1.14-1.31; OR 1.20; 95% CI, 1.10-1.32, respectively). Looking at obesity clustering, hot spots were 18% and 21% less likely to be located in neighborhoods with medium and high accessibility to green space areas, respectively (OR 0.82; 95% CI, 0.76-0.88; OR 0.79; 95% CI, 0.71-0.86). In contrast, hot spots were 1.65 and 4.81 times more likely to be located in neighborhoods with medium and high accessibility to fast food restaurants, respectively (OR 1.65; 95% CI, 1.53-1.77; OR 4.81; 95% CI, 4.39-5.27, respectively).

CONCLUSIONS

Accessibility to fast food restaurants is positively associated with the presence of obesity hot spots, while access to green space areas is associated with decreased neighborhood obesity rates.

Weight loss interventions for Hispanic women in the USA: a protocol for a systematic review

BACKGROUND

In the U.S., Hispanic women experience a disproportionate rate of obesity and obesity-related chronic diseases. At the same time, Hispanic women remain considerably underrepresented in behavioral weight loss interventions. The purpose of this review is to systematically evaluate the evidence related to the effectiveness of weight loss interventions among Hispanic women in the U.S. This review will identify elements of successful weight loss interventions as well as areas for future research.

METHODS/DESIGN

The following databases will be searched to identify all relevant articles (from inception onwards): PubMed, Embase, Scopus, Web of Science (Science Citation Index and Social Sciences Citation Index), PsycINFO, CINAHL, Chicano Database, SPORTDiscus, CAB Abstracts, and Google Scholar. We will include randomized controlled trials and quasi-experimental studies of adult women (> 18 years) from Hispanic/Latino background living in the United States. Eligible interventions will target weight-related behaviors (including diet, physical activity, behavior modification and/or their combinations). The review's primary outcome will be weight change (expressed as change in lbs/kg or body mass index (BMI) (kg/m2)). Three reviewers will independently screen and select data and two will extract data. The methodological quality (or risk of bias) of individual studies will be appraised using the Effective Public Health Practice Project Quality Assessment Tool. A narrative synthesis will describe quality and content of the evidence.

DISCUSSION

The aim of this systematic review is to critically examine existing weight loss interventions for Hispanic women in the U.S. and provide quality evidence for the effectiveness of these interventions on weight loss. Further, this review seeks to identify characteristics of effective interventions and suggest future directions for research efforts targeting weight loss in this population. This review will inform the development of future weight loss interventions for this population.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42019119094.

Examining the Impact of Estrogen on Binge Feeding, Food-Motivated Behavior, and Body Weight in Female Rats

OBJECTIVE

Binge-eating disorder is associated with diminished self-control, emotional distress, and obesity. In this context, women are nearly twice as likely to develop binge-eating disorder and depression relative to men. Here, the physiological, psychological, and endocrine parameters were characterized in female rats subjected to a binge-eating protocol.

METHODS

Nonrestricted female Long Evans rats (n = 8/group) received 2-hour restricted access to a high-fat diet (HFD) (4.54 kcal/g) every day or every third day. The progression of estrous cycling, the functional relevance of estrogen signaling for binge feeding, and binge-induced changes in food motivation were measured.

RESULTS

Female rats developed a binge pattern of feeding that included alternation between caloric overconsumption and compensatory voluntary restriction without impacting estrous cycling. Notably, rats that received daily HFD exposure progressively decreased binge meals. Estrogen replacement in normal cycling or ovariectomized rats mimicked the reduction in body weight in female rats that received daily HFD access. Operant responding was unaffected by binge feeding; however, estrogen augmented operant performance in HFD-exposed rats.

CONCLUSIONS

Collectively, these data suggest that estrogen protects against binge-induced increases in body weight gain without affecting food motivation in female rats.

Association between waist-to-height ratio and anxiety in middle-aged women: a secondary analysis of a cross-sectional multicenter Latin American study

OBJECTIVE

The aim of the study was to evaluate the association between waist-to-height ratio (WHtR) and anxiety in middle-aged women.

METHODS

We carried out a secondary analysis of data from a multicenter study of women between 40 and 59 years old from 11 Latin America countries. Anxiety was assessed using the Goldberg Anxiety and Depression Scale. WHtR was calculated according to World Health Organization standards and categorized in tertiles: upper, middle, and lower using 0.45 and 0.6 as cutoff values. Prevalence ratios (PRs) and 95% CIs were calculated by generalized linear models of Poisson family with robust standard errors, both crude and adjusted models based on statistical and epidemiological criteria.

RESULTS

Data of a total of 5,580 women were analyzed. Mean age was 49.7 ± 5.5 years, and 57.9% were postmenopausal. The 61.3% of women had anxiety and mean WHtR was 0.54 ± 0.1. In the crude model, compared with women in lower tertile, those in the middle (PR: 1.07; 95% CI, 1.01-1.13) and upper (PR: 1.23 95% CI, 1.07-1.29) WHtR tertile were significantly more likely to have anxiety. In the adjusted models, only women in upper tertile were, however, more likely of displaying anxiety than those in lower tertile (PR: 1.13; 95% CI, 1.08-1.18).

CONCLUSIONS

In this series, WHtR was associated with anxiety in middle-aged women. It is advisable to further study this anthropometric measure in order for it to be incorporated in the routine clinical practice and evaluation of middle-aged women.

Sex-specific associations between body mass index and death before life expectancy: a comparative study from the USA and Sweden

BACKGROUND

Understanding the impact of obesity on premature mortality is critical, as obesity has become a global health issue.

OBJECTIVE

To contrast the relationship between body mass index (BMI) and premature death (all-cause; circulatory causes) in New York State (USA) and Northern Sweden.

METHODS

Baseline data were obtained between 1989 and 1999 via questionnaires (USA) and health exams (Sweden), with mortality data from health departments, public sources (USA) and the Swedish Death Register. Premature death was death before life expectancy based on sex and year of birth. Within country and sex, time to premature death was compared across BMI groups (18.5-24.9 kg/m² (reference), 25-29.9 kg/m², 30.0-34.9 kg/m², ≥35.0 kg/m²) using Proportional Hazards regression. Absolute risk (deaths/100,000 person-years) was compared for the same stratifications among nonsmokers.

RESULTS

60,600 Swedish (47.8% male) and 31,198 US subjects (47.7% male) were included. Swedish males with BMI≥30 had increased hazards (HR) of all-cause premature death relative to BMI 18.5-24.9 (BMI 30-34.9, HR = 1.71 (95% CI: 1.44, 2.02); BMI≥35, HR = 2.89 (2.16, 3.88)). BMI≥25 had increased hazards of premature circulatory death (BMI 25-29.9, HR = 1.66 (1.32, 2.08); BMI 30-34.9, HR = 3.02 (2.26, 4.03); BMI≥35, HR = 4.91 (3.05, 7.90)). Among US males, only BMI≥35 had increased hazards of all-cause death (HR = 1.63 (1.25, 2.14)), while BMI 30-34.9 (HR = 1.83 (1.20, 2.79)) and BMI≥35 (HR = 3.18 (1.96, 5.15)) had increased hazards for circulatory death. Swedish females showed elevated hazards with BMI≥30 for all-cause (BMI 30-34.9, HR = 1.42 (1.18, 1.71) and BMI≥35, HR = 1.61 (1.21, 2.15) and with BMI≥35 (HR = 3.11 (1.72, 5.63)) for circulatory death. For US women, increased hazards were observed among BMI≥35 (HR = 2.10 (1.60, 2.76) for all-cause and circulatory HR = 3.04 (1.75, 5.30)). Swedish males with BMI≥35 had the highest absolute risk of premature death (762/100,000 person-years).

CONCLUSIONS

This study demonstrates a markedly increased risk of premature death associated with increasing BMI among Swedish males, a pattern not duplicated among females.

Psychiatric disorders and obesity: A review of association studies

Background:

Inconsistent evidence exists regarding the strength, direction, and moderators in the relationship between obesity and psychiatric disorders.

Aim:

This study aims to summarize the evidence on the association between psychiatric illness and obesity with particular attention to the strength and direction of association and also the possible moderators in each postulated link.

Materials and Methods:

Systematic electronic searches of MEDLINE through PubMed, ScienceDirect, PsycINFO, and Google Scholar were carried out from inception till October 2016. Generated abstracts were screened for eligibility to be included in the review. Study designs that evaluated the strength of relationship between obesity and psychiatric disorders were included in the study. Quality assessment of included studies was done using the Newcastle–Ottawa checklist tool.

Results:

From a total of 2424 search results, 21 eligible articles were identified and reviewed. These included studies on obesity and depression (n = 15), obesity and anxiety (four) and one each on obesity and personality disorders, eating disorder (ED), attention deficit hyperactivity disorder, and alcohol use. Maximal evidence existed for the association between depression and obesity with longitudinal studies demonstrating a bidirectional link between the two conditions. The odds ratios (ORs) were similar for developing depression in obesity (OR: 1.21–5.8) and vice versa (OR: 1.18–3.76) with a stronger association observed in women. For anxiety disorders, evidence was mostly cross-sectional, and associations were of modest magnitude (OR: 1.27–1.40). Among other disorders, obesity, and EDs appear to have a close link (OR: 4.5). Alcohol use appears to be a risk factor for obesity and not vice versa but only among women (OR: 3.84).

Conclusion:

Obesity and depression have a significant and bidirectional association. Evidence is modest for anxiety disorders and inadequate for other psychiatric conditions. Gender appears to be an important mediator in these relationships.

The Real Happy Study: Protocol for a Prospective Assessment of the Real-World Effectiveness of the HAPIFED Program-a Healthy APproach to weIght management and Food in Eating Disorders

The prevalence of obesity with comorbid binge eating behaviour is growing at a faster rate than that seen for either obesity or eating disorders as separate conditions. Approximately 6% of the population are affected and they potentially face a lifetime of poor physical and mental health outcomes and an inability to sustain long-term weight loss. Current treatment options are inadequate in that they typically address either obesity or eating disorders exclusively, not the combination of both conditions. By treating one condition without treating the other, relapse is common, and patients are often left disappointed with their lack of weight loss. An integrated approach to treating these individuals is needed to prevent a worsening of the comorbidities associated with excess body weight and eating disorders. A new therapy has recently been developed, named HAPIFED, which addresses both overweight/obesity and comorbid binge eating behaviour with the combination of behavioural weight loss therapy and cognitive behaviour therapy-enhanced (CBT-E). The aim of this paper is to document the protocol for the Real Happy Study, which will evaluate the effectiveness of the HAPIFED program in treating overweight or obesity with comorbid binge-eating behaviour in a real-world setting.

Multilevel Analysis of Socio-Demographic Disparities in Adulthood Obesity Across the United States Geographic Regions

Objectives

The objective of this study was to examine the socio-demographic disparities in obesity among US adults across 130 metropolitan and micropolitan statistical areas.

Methods

This study used data from the 2015 Behavioral Risk Factor Surveillance System and Selected Metropolitan/Micropolitan Area Risk Trend of 159,827 US adults aged 18 years and older. Data were analyzed using the multilevel linear regression models.

Results

According to individual level analyses, socio-demographic disparities in obesity exist in the United States. Individuals with low socioeconomic status were associated with a higher body mass index. The participants from the Midwest United States tend to have higher body mass index than those who from the South. According to metropolitan and micropolitan statistical area level analyses, secondly, there were significant differences in obesity status between different areas and the relation of obesity with 5 socio-demographic factors varied across different areas. According to geospatial mapping analyses, even though obesity status by metropolitan and micropolitan statistical area level has improved overtime, differences in body mass index between United States regions are increasing from 2007 to 2015.

Conclusion

Socio-demographic and regional disparities in obesity status persist among US adults. Hence, these findings underscore the need to take socio-environmental factors into account when planning obesity prevention on vulnerable populations and areas.

Obesity and anxiety symptoms: a systematic review and meta-analysis

BACKGROUND

Obesity and anxiety are the two most common health problems and increased body mass index can be lead to anxiety.

OBJECTIVE

The aim of this meta-analysis was to investigate the frequency of anxiety symptoms in people who are obese/overweight.

METHODS

For this purpose the authors systematically searched keywords in the databases PubMed, Scopus, PsycINFO and Google scholar through August 2018. After a comprehensive review, 25 studies were included into the meta-analysis.

RESULTS

Results of the meta-analysis showed that the frequency of anxiety in obesity had a pooled odds ratio (OR) of 1.30 and a 95% confidence interval (CI) of 1.20-1.41 and in overweight had an OR of 1.10 and CI of 1.00-1.21. Comparison between obesity/overweight and normal weight showed high frequency of anxiety in obesity/overweight with respect to subgroups (sex, obesity and anxiety assessment, adjusted/unadjusted, anxiety duration and age). Evaluation of 25 studies included in the meta-analysis showed publication bias.

CONCLUSION

Overall, findings indicate anxiety occurs more frequently in obese/overweight people compared with normal weight people.

Effect of body mass index on depression in a UK cohort of 363 037 obese patients: A longitudinal analysis of transition

With obesity levels increasing, it is important to consider the mental health risks associated with this condition to optimize patient care. Links between depression and obesity have been explored, but few studies focus on the risk profiles of patients across stratified body mass index (BMI) classes above 30 kg/m² . This study aims to determine the impact of BMI on depression risk in patients with obesity and to investigate trends of depression in a large cohort of British patients with BMI > 30 kg/m² . A nationwide primary care database, the Clinical Practice Research Datalink (CPRD), was analysed for diagnoses of obesity (BMI > 30 kg/m² ). Obese patients were then sub-classified into seven BMI categories. Primary health care-based records of patients entered in the CPRD were analysed. A total of 363 037 patients had a BMI ≥ 30 kg/m² ; of these patients 97 392 (26.8%) also had a diagnosis of depression. Absolute event rates over time and hazard risk of depression were analysed by BMI category. On Cox regression analysis of time to development of depression, the cumulative hazard increased significantly and linearly across BMI groups (P < 0.001). Compared to those with BMI 30 to 35 kg/m² , patients with BMI 35 to 40 kg/m² had a 20% higher risk of depression (hazard ratio [HR] 1.206, confidence interval [CI] 1.170-1.424), and those with BMI > 60 kg/m² had a 98% higher risk (HR 1.988, CI 1.513-2.612). This study identified the prevalence and time course of depression in a cohort of obese patients in the United Kingdom. Findings suggest the risk of depression is directly proportional to BMI above 30 kg/m² . Therefore, clinicians should note higher BMI levels confer increased risk of depression.

Sexual Dysfunctions in Obese Women Before and After Bariatric Surgery

Background

Obesity and associated comorbidities increase the probability of sexual disorders. The present study evaluated sexual satisfaction levels in obese women prior to and following bariatric surgery, utilizing the validated Female Sexual Function Index (FSFI) to also evaluate the sexual satisfaction in obese and non-obese women.

Material/Methods

60 obese women (mean initial BMI of 43.7±5.9 kg/m²; mean age of 41.7±10.8 years) were administered the questionnaire on sexual function (FSFI) preceding bariatric surgery (laparoscopic adjustable gastric banding, 22 women; gastric plication, 33 women; and biliopancreatic diversion, 5 women), 6 months and 12 months after the procedure, i.e., following substantial weight reduction (final mean BMI of 35.5±5.5 kg/m²). The control group comprised 60 non-obese women (mean BMI of 22.2±1.9kg/m²; mean age of 36.4±10.7 years).

Results

Our findings indicate that baseline sexual function in the preoperative obese females was significantly lower than in non-obese women, with p<0.01 in each domain. Data gathered at the 6- and 12-month points following the procedure indicated no significant difference. Before the procedure, 31 obese subjects (51.6%) exceeded the cutoff for FSD, at the 6-month evaluation point, 17 women (39.5%) exceeded the cutoff, and at 12 months postoperatively, 18 subjects (41.9%) exceeded the cutoff, indicative of FSD. Among the non-obese controls, only 9 subjects (15%) exceeded the cutoff threshold.

Conclusions

These findings show that substantive weight reduction resulting from bariatric surgery results in reduced sexual dysfunction in female subjects.

Intergenerational Association of Maternal Obesity and Child Peer Victimization in the United States

Drawing on the intergenerational stress proliferation theory, the courtesy stigma thesis, and the buffering ethnic culture thesis, this study examines the association between maternal obesity and child's peer victimization and whether this association varies for white and black children. Based on longitudinal data from a nationally representative sample of mother-child pairs in the U.S. Panel Study of Income Dynamics Child Development Supplement, negative binomial models show that maternal obesity is associated with increased frequency of peer victimization, even after controlling for family socioeconomic status, child weight status, health status, self-esteem, and demographic characteristics. The association was significant only for white children. Given the developmental significance of child peer relations and the social disparities in obesity, future studies need to explicitly test causal mechanisms underlying the association to decide whether obesity may function as a family stressor (versus an individual stressor) that contributes to the intergenerational reproduction of inequality.