scholarly journals Prevalence of and risk factors for binge eating behaviour in 6930 adults starting a weight loss or maintenance programme

2015 ◽  
Vol 19 (1) ◽  
pp. 71-77 ◽  
Author(s):  
Simona Bertoli ◽  
Alessandro Leone ◽  
Veronica Ponissi ◽  
Giorgio Bedogni ◽  
Valentina Beggio ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Weight Loss ◽  
Binge Eating ◽  
Multivariable Analysis ◽  
Eating Behaviour ◽  
Research Centre ◽  
Anxiety And Depression ◽  
Obese Women ◽  
Maintenance Programme

AbstractObjectiveConflicting data are available on the prevalence of binge eating behaviour (BE) in individuals seeking to lose or maintain weight. The present study aimed to estimate the prevalence of and the risk factors for BE in a large sample of men and women starting a weight loss or maintenance programme.DesignCross-sectional study. BE was defined as a Binge Eating Scale (BES) score ≥18. The State-Trait Anxiety Inventory and the Italian Depression Questionnaire were used to assess anxiety and depression. Besides sex, age and BMI, marital status, educational level, smoking and physical activity were evaluated as potential risk factors for BE. Uni- and multivariable Poisson working regression models were used to estimate prevalence ratios (PR) and marginal probabilities.SettingNutritional research centre.SubjectsAdults (n 6930; 72 % women) with a median age of 46 years (range 18–81 years) were consecutively studied.ResultsBE prevalence in the pooled sample was 17 %. At multivariable analysis, being a woman (PR=2·70), smoking (PR=1·15) and increasing BMI (PR=1·05 for 1 kg/m2 increase) were risk factors for BE. On the contrary, being older (PR=0·99 for 1-year increase), performing physical activity (PR=0·89) and being married (PR=0·88) were protective factors for BE. Anxiety and depression were more common in subjects with BE.ConclusionsBE is common in individuals seeking to lose or maintain weight. The prevalence of BE is higher in young obese women. However, BE is present also in men, elders and normal-weight subjects.

scholarly journals Contribution of binge eating behaviour to cardiometabolic risk factors in subjects starting a weight loss or maintenance programme

2016 ◽  
Vol 116 (11) ◽  
pp. 1984-1992 ◽  
Author(s):  
Alessandro Leone ◽  
Giorgio Bedogni ◽  
Veronica Ponissi ◽  
Alberto Battezzati ◽  
Valentina Beggio ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Weight Loss ◽  
Nutritional Status ◽  
Binge Eating ◽  
Regression Model ◽  
Cardiometabolic Risk ◽  
Smoking Status ◽  
Cardiometabolic Risk Factors ◽  
Binge Eaters

AbstractThe contribution of binge eating (BE) behaviour to cardiometabolic risk factors has been scarcely investigated so far. Previous studies have not considered the nutritional status and lifestyle of subjects suffering from BE. The aim of this study was to evaluate the contribution of BE to the metabolic syndrome (MS), its components, high total cholesterol and high LDL in a large sample of subjects, taking into account nutritional status, dietary habits, smoking status and physical activity. For this purpose, 5175 adults seeking a weight loss or maintenance programme were recruited. Anthropometrical measurements and blood parameters were measured. BE was evaluated using the Binge Eating Scale (BES). A fourteen-item questionnaire was used to evaluate the adherence to the Mediterranean diet. Smoking status and physical activity were investigated by interview. BE prevalence was 0·16 (95 % CI 0·15, 0·17). A sex- and age-adjusted Poisson regression model showed a higher prevalence of MS in binge eaters (0·33; 95 % CI 0·28, 0·37) compared with non-binge eaters (0·27; 95 % CI 0·25, 0·28, P=0·011). However, the statistical difference was lost after inclusion of BMI and lifestyle parameters in the multiple-adjusted model. We also evaluated the association between the continuous outcomes of interest and the BES score using a multivariable median regression model. We observed a positive, but clinically irrelevant, association between BES score and HDL levels (P<0·001). In conclusion, BE does not seem to be independently related to cardiometabolic risk factors. However, the screening and treatment of BE are of clinical relevance in order to reduce the risk of developing obesity.

Weight loss "maintainers" vs. "regainers": Posttreatment physical activity facilitates weight maintenance in obese women

2013 ◽  
Author(s):  
Renee T. Degener ◽  
Melissa H. Laitner ◽  
Danielle M. Lespinasse ◽  
Kristen E. Medina ◽  
Stacey N. Maurer ◽  
...  
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Weight Maintenance ◽  
Obese Women

scholarly journals A review of risk factors associated with insulin omission for weight loss in type 1 diabetes

2021 ◽  
pp. 135910452110261
Author(s):  
Rebecca Hall ◽  
Leanna Keeble ◽  
Sandra-Ilona Sünram-Lea ◽  
Michelle To
Keyword(s):  
Risk Factors ◽  
Weight Loss ◽  
Type 1 Diabetes ◽  
Body Dissatisfaction ◽  
Vascular Complications ◽  
Anxiety And Depression ◽  
Weight Concerns ◽  
Complications And Mortality ◽  
Insulin Omission

Research suggests that as many as 60% of people with type 1 diabetes (T1D) admit to misusing insulin. Insulin omission (IO) for the purpose of weight loss, often referred to as diabulimia, is a behaviour becoming increasingly recognised, not least since prolonged engagement can lead to serious vascular complications and mortality. Several risk factors appear to be relevant to the development of IO, most notably gender, anxiety and depression and increased weight concerns and body dissatisfaction. Evidence suggests that women, especially young girls, are more likely to omit insulin as a method of weight loss compared to men. Mental health conditions such as anxiety and depression are increasingly prevalent in people with T1D compared to their peers, and appear to contribute to the risk of IO. Increased weight concerns and body dissatisfaction are further prominent risk factors, especially given increases in weight which often occur following diagnosis and the monitoring of weight by diabetes teams. This review presents evidence examining these risk factors which increase the likelihood of a person with T1D engaging in IO and highlights the complications associated with prolongment of the behaviour. Further research looking at the comorbidities of these risk factors, alongside other factors, would provide greater insight into understanding IO in people with T1D.

scholarly journals Analysis Of Risk Factors Oxidative Stress In Obesity Women

2019 ◽  
Vol 6 (1) ◽  
pp. 51-57 ◽  
Author(s):  
Alpha Olivia Hidayati ◽  
Ernawati Hardani
Keyword(s):  
Oxidative Stress ◽  
Physical Activity ◽  
Risk Factors ◽  
At Risk ◽  
Fat Intake ◽  
Obese Women ◽  
High Cholesterol ◽  
High Fat ◽  
Low Hdl ◽  
Fiber Consumption

Obesity is a condition of imbalance in the number of calories entered by the number of calories where the excess is heaped up as body fat. Obesity followed by an increase in fat metabolism will cause Reactive Oxygen Species (ROS) production to increase. This condition causes oxidative stress. Indicators of oxidative stress can be observed from plasma levels of Malondialdehyde (MDA). This study aims to determine the risk factors for oxidative stress in obese women. The results of this study indicate that high fat intake (> 60 g / day) is at risk of increasing MDA-P levels twice. Low fiber consumption (<30 gr / day) gives the risk of an increase in MDA-P levels of 2.09 times. Poor physical activity is a risk factor for MDA-P increase of 1.15 times. High cholesterol (> 200mg / l) and LDL (> 130 mg / l) and low HDL (≤45mg / dl) levels are at risk of increasing MDA-P levels by 1.02 times (cholesterol), 1.13 (LDL) ) and 1.12 (HDL). Based on this study it can be concluded that high fat intake, low fiber intake, low physical activity, high cholesterol and HDL levels and low HDL levels are risk factors for oxidative stress.

ADHD Rate in Obese Women With Binge Eating and Bulimic Behaviors From a Weight-Loss Clinic

2012 ◽  
Vol 20 (7) ◽  
pp. 610-616 ◽  
Author(s):  
Bruno Palazzo Nazar ◽  
Camilla Moreira de Sousa Pinna ◽  
Raphael Suwwan ◽  
Monica Duchesne ◽  
Silvia Regina Freitas ◽  
...  
Keyword(s):  
Weight Loss ◽  
Binge Eating ◽  
Obese Women ◽  
Bulimic Behaviors

scholarly journals Physical Activity Advertisements That Feature Daily Well-Being Improve Autonomy and Body Image in Overweight Women but Not Men

2012 ◽  
Vol 2012 ◽  
pp. 1-19 ◽  
Author(s):  
Michelle L. Segar ◽  
John A. Updegraff ◽  
Brian J. Zikmund-Fisher ◽  
Caroline R. Richardson
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Body Image ◽  
Weight Control ◽  
Well Being ◽  
Framing Effects ◽  
Obese Women ◽  
Physically Active ◽  
Overweight Women ◽  
Anova Model

The reasons for exercising that are featured in health communications brand exercise and socialize individuals about why they should be physically active. Discovering which reasons for exercising are associated with high-quality motivation and behavioral regulation is essential to promoting physical activity and weight control that can be sustained over time. This study investigates whether framing physical activity in advertisements featuring distinct types of goals differentially influences body image and behavioral regulations based on self-determination theory among overweight and obese individuals. Using a three-arm randomized trial, overweight and obese women and men (aged 40–60 yr,n=1690) read one of three ads framing physical activity as a way to achieve (1) better health, (2) weight loss, or (3) daily well-being. Framing effects were estimated in an ANOVA model with pairwise comparisons using the Bonferroni correction. This study showed that there are immediate framing effects on physical activity behavioral regulations and body image from reading a one-page advertisement about physical activity and that gender and BMI moderate these effects. Framing physical activity as a way to enhance daily well-being positively influenced participants’ perceptions about the experience of being physically active and enhanced body image among overweight women, but not men. The experiment had less impact among the obese study participants compared to those who were overweight. These findings support a growing body of research suggesting that, compared to weight loss, framing physical activity for daily well-being is a better gain-frame message for overweight women in midlife.

scholarly journals A health assessment tool for multiple risk factors for obesity: age and sex differences in the prediction of body mass index

2010 ◽  
Vol 104 (2) ◽  
pp. 298-307 ◽  
Author(s):  
Julie A. Chambers ◽  
Vivien Swanson
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Healthy Eating ◽  
Assessment Tool ◽  
Current Trend ◽  
Eating Behaviour ◽  
Physical Activity Participation ◽  
Activity Participation ◽  
Age Group ◽  
Wide Range

The aim was to establish the relative importance of multiple dietary, activity and other risk factors in determining BMI. A cross-sectional survey was conducted with 322 adults (71 % female; aged 18–79 years; BMI 16·5–40·9 kg/m2) using a previously developed, psychometrically tested, seventy-three-item questionnaire covering a wide range of obesity risk factors (consisting of five dietary, five activity and seven other risk factor subscales). Outcome was self-reported weight and height for BMI, cross-validated with items on clothes size and perceived need to lose weight. Stepwise regression analysis predicted 25–55 % of the variance in BMI with physical activity participation, current and past dieting behaviour, amount eaten, and age being the most important predictors. The association of lower BMI and younger age appeared to be due to higher activity levels, as younger participants reported much less healthy eating behaviour than the older age group. Amount eaten and physical activity participation were stronger predictors of BMI than other factors including healthy eating and use of mechanised transport. Results showed that the relationship between various risk factors and obesity may differ by both sex and age group, suggesting that different interventions may need to be targeted at different groups. The higher-risk eating behaviour observed in younger participants is of concern and needs to be addressed, if the current trend of rising obesity levels is to be halted.

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