Obesity

The aim of this intervention is to help people lose weight on a long term basis

MoreLife Adult Clinical Obesity Service (ACOS)

The aim of this intervention is to educate, inform and empower patients to safely lose and manage their weight. It strives for Patients to lose an agreed amount of weight, with the help and support of the MoreLife team.

MoreLife Specialist Obesity Service (ASOS)

The aims of this intervention are: - To prevent or defer patients from requiring surgical interventions. - To ready patients for surgical procedures (indirectly related to weight status), such as orthapaedic ops etc. - To educate, inform and empower patients to safely lose and manage their weight - To improve the patient's clinical risk and quality of life.

PhunkyFoods Programme (PFP)

The PhunkyFoods Programme (PFP) aids schools in meeting healthy lifestyles curriculum requirements by delivering key, consistent health messages in-line with current Government recommendations. The aim is to help schools deliver a whole-school approach to healthy lifestyles and to engage with all pupils, and their families, in promoting tangible health behaviour changes in a fun, lively and positive manner. The short-term objectives (6-months) of the PFP are; 1. To improve school staff competence, confidence and in delivering healthy lifestyles messaging in school. 2. To improve the health-related knowledge of pupils taking part in the PFP. The medium-term objectives (12-18 months) of the PFP are; 3. To improve the dietary behaviours of children taking part in the PFP (increase fruit and veg intake, increase breakfast consumption, decrease HFSS foods, decrease fizzy drink consumption). 4. To increase the levels of habitual phsyical activity undertaken by the children participating in the PFP. The longer-term objectives (+18=months) of the PFP are; 5. To reduce the prevalence of childhood overweight and obesity in participating children 6. To develop the schools to become the community hub for healthy eating and physical activity initiatives based on local needs assessment and partnership workin

Elevated energy expenditure and reduced energy intake in obese prepubertal children: paradox of poor dietary reliability in obesity?

The purpose of this study was to assess the validity of two common methods used to assess energy intake. A 3-day weighed dietary record and a dietary history were collected and compared with the total daily energy expenditure (TEE) assessed by the heart rate method in a group of 12 obese and 12 nonobese prepubertal children (mean age 9.3 +/- 1.1 years vs 9.3 +/- 0.4 years). The TEE value was higher in obese than in nonobese children (9.89 +/- 1.08 vs 8.13 +/- 1.39 MJ/day; p < 0.01). Energy intake assessed by the dietary record was significantly lower than TEE in the obese children (7.06 +/- 0.98 MJ/day; p < 0.001) but comparable to TEE in the nonobese children (8.03 +/- 0.99 MJ/day; p = not significant). Energy intake assessed by diet history was lower than TEE in the obese children (8.37 +/- 1.35 MJ/day, p < 0.05) but close to TEE in the nonobese children (8.64 +/- 1.54 MJ/day, p = not significant). These results suggest that obese children underreport food intake and that the dietary record and the diet history are not valid means of assessing energy intake in obese prepubertal children.

Is lean body mass decreased after obesity treatment by adjustable gastric banding?

BACKGROUND: There is concern that surgically-induced weight loss in obese subjects is associated with a disproportionate decrease in lean body mass (LBM) and in skeletal muscle mass (SMM), a major constituent of LBM. To address this issue, 1) we measured total and regional body composition following gastric banding in a group of obese subjects, and 2) we compared these data to those of a non-surgical control group of similar age and body size. METHODS: Body composition was assessed by dual-energy X-ray absorptiometry (DEXA) before and after laparoscopic adjustable silicone gastric banding (LAGB) in 32 women (after 1 year: age 43.7+/-8.4 years, BMI 36.4+/-5.9 kg/m2, mean+/-SD), and in 117 control women (age 44.5+/-7.5 years; BMI 36.7+/-5.5 kg/m2) referred for non-surgical weight management, prior to weight loss. SMM was estimated using a published equation based on LBM of the extremities (appendicular LBM). RESULTS: 1 year after LAGB, body weight loss (-23.7+/-11.6 kg, P<10(-6)) was mainly due to decreased fat mass (-21.2+/-11.2 kg, P<10(-6)), and total LBM was modestly, although significantly, decreased (-2.1+/-4.2 kg, P=0.01). Appendicular LBM (-0.7+/-2.7 kg) and total SMM (-0.9+/-3.0 kg) were not significantly modified. None of the body composition variables was significantly decreased in weight-reduced subjects compared to the control group, especially appendicular LBM and total SMM. CONCLUSIONS: Results provide no evidence for a decrease in appendicular LBM and total SMM with weight loss following LAGB. Follow-up of these obese patients revealed a very favorable pattern of change in total and regional body composition, with preservation of muscle mass.

Health at a glance: Europe 2012.

This second edition of Health at a Glance: Europe presents a set of key indicators of health and health systems in 35 European countries, including the 27 European Union member states, 5 candidate countries and 3 EFTA countries. The selection of indicators is based largely on the European Community Health Indicators (ECHI) shortlist, a list of indicators that has been developed by the European Commission to guide the development and reporting of health statistics. It is complemented by additional indicators on health expenditure and quality of care, building on the OECD expertise in these areas. Contents: Introduction 12 Chapter 1. Health status 15 1.1. Life expectancy and healthy life expectancy at birth 1.2. Life expectancy and healthy life expectancy at age 65 1.3. Mortality from all causes 1.4. Mortality from heart disease and stroke 1.5. Mortality from cancer 1.6. Mortality from transport accidents 1.7. Suicide 1.8. Infant mortality 1.9. Infant health: Low birth weight 1.10. Self-reported health and disability 1.11. Incidence of selected communicable diseases 1.12. HIV/AIDS 1.13. Cancer incidence 1.14. Diabetes prevalence and incidence 1.15. Dementia prevalence 1.16. Asthma and COPD prevalence Chapter 2. Determinants of health 49 2.1. Smoking and alcohol consumption among children 2.2. Overweight and obesity among children 2.3. Fruit and vegetable consumption among children 2.4. Physical activity among children 2.5. Smoking among adults 2.6. Alcohol consumption among adults 2.7. Overweight and obesity among adults 2.8. Fruit and vegetable consumption among adults Chapter 3. Health care resources and activities 67 3.1. Medical doctors 3.2. Consultations with doctors 3.3. Nurses 3.4. Medical technologies: CT scanners and MRI units 3.5. Hospital beds 3.6. Hospital discharges 3.7. Average length of stay in hospitals 3.8. Cardiac procedures (coronary angioplasty) 3.9. Cataract surgeries 3.10. Hip and knee replacement 3.11. Pharmaceutical consumption 3.12. Unmet health care needs Chapter 4. Quality of care 93 Care for chronic conditions 4.1. Avoidable admissions: Respiratory diseases 4.2. Avoidable admissions: Uncontrolled diabetes Acute care 4.3. In-hospital mortality following acute myocardial infarction 4.4. In-hospital mortality following stroke Patient safety 4.5. Procedural or postoperative complications 4.6. Obstetric trauma Cancer care 4.7. Screening, survival and mortality for cervical cancer 4.8. Screening, survival and mortality for breast cancer 4.9. Screening, survival and mortality for colorectal cancer Care for communicable diseases 4.10. Childhood vaccination programmes 4.11. Influenza vaccination for older people Chapter 5. Health expenditure and financing 117 5.1. Coverage for health care 5.2. Health expenditure per capita 5.3. Health expenditure in relation to GDP 5.4. Health expenditure by function. 5.5. Pharmaceutical expenditure 5.6. Financing of health care 5.7. Trade in health services Bibliography 133 Annex A. Additional information on demographic and economic context 143 Most European countries have reduced tobacco consumption via public awareness campaigns, advertising bans and increased taxation. The percentage of adults who smoke daily is below 15% in Sweden and Iceland, from over 30% in 1980. At the other end of the scale, over 30% of adults in Greece smoke daily. Smoking rates continue to be high in Bulgaria, Ireland and Latvia (Figure 2.5.1). Alcohol consumption has also fallen in many European countries. Curbs on advertising, sales restrictions and taxation have all proven to be effective measures. Traditional wine-producing countries, such as France, Italy and Spain, have seen consumption per capita fall substantially since 1980. Alcohol consumption per adult rose significantly in a number of countries, including Cyprus, Finland and Ireland (Figure 2.6.1).This resource was contributed by The National Documentation Centre on Drug Use.

Growing up in Ireland. Key findings: 13-year-olds. No. 2. Physical activity and obesity among 13-year-olds.

This Key Finding reports on data from the second wave of interviews with Growing Up in Ireland's Child Cohort. The 8,568 children and their families were first interviewed when the children were 9 years old, and then at age 13 years, when 7,400 were reinterviewed between August 2011 and February 2012.The findings show that boys and young people from more socially advantaged backgrounds were more likely to exercise, and that 13-year-olds who took more exercise (whether hard or light exercise) were less likely to be overweight or obese.While most of the young people in Growing Up in Ireland maintained a healthy weight over time, one in four was either overweight or obese, a finding similar to that at 9 years. Girls were also more likely to be classified as overweight or obese than boys. The majority of 13-year-olds were quite positive about their physical appearance, although a quarter rated themselves as below average in this respect, and girls tended to be less positive about their body image than boys. Dieting behaviours had also become evident at 13.To understand more fully the origins and course of overweight and obesity, the descriptive data in this Key Finding can be used in more complex analyses drawing on the rich data available on the child, family and other important contextual variables.This resource was contributed by the National Documentation Centre on Drug Use.

Obesity in an ageing society implications for health, physical function and health service utilisation.

Key Findings • Based on body mass index (BMI) measurements, 36% of Irish over 50s are obese and a further 43% are overweight. • Based on waist circumference measurements, 52% of Irish over 50s are ‘centrally obese’, i.e., with a ‘substantially increased’ waist circumference, while a further 25% have an ‘increased’ waist circumference. • Using BMI as an indicator of obesity, a higher proportion of men (38%) are obese than women (33%); however, using waist circumference as an indicator of obesity, a higher proportion of women (56%) have a ‘substantially increased’ waist circumference than men (48%). • The prevalence of obesity in Irish men over 50 is comparable with US men over 50 (while English rates are much lower).     .This resource was contributed by The National Documentation Centre on Drug Use.

Obesity and central obesity as risk factors for incident dementia and its subtypes: a systematic review and meta-analysis

While dementia affects 6-10% of persons 65 years or older, industrialized countries have witnessed an alarming rise in obesity. However, obesity's influence on dementia remains poorly understood. The conducted a systematic review and meta-analysis. PUBMED search (1995-2007) resulted in 10 relevant prospective cohort studies of older adults (40-80 years at baseline) with end points being dementia and predictors including adiposity measures, such as body mass index (BMI) and waist circumference (WC). There was a significant U-shaped association between BMI and dementia (P= 0.034), with dementia risk increased for obesity and underweight. Pooled odds ratios (OR) and 95% confidence intervals (CI) for underweight, overweight and obesity compared with normal weight in relation to incident dementia were: 1.36 (1.07, 1.73), 0.88 (0.60, 1.27) and 1.42 (0.93, 2.18) respectively. Pooled ORs and 95% CI for obesity and incident Alzheimer's disease (AD) and vascular dementia were 1.80 (1.00, 3.29) vs. 1.73 (0.47, 6.31) and were stronger in studies with long follow-up (>10 years) and young baseline age (

Trends in overweight and obesity levels in Geneva: time for optimism?

Background/Introduction: ln Switzerland, most trends in overweight and obesity levels have been assessed using reported data, a methodology which is prone to reporting bias. ln this study, we aimed at assessing trends in overweight and obesity levels using objectively measured data. Methods: We used independent cross-sectional data collected between 2005 and 2011 by the Bus Santé study on representative samples of the Geneva population. Trends were assessed overall and according to different characteristics of the participants. Overweight and obesity were defined as a body mass index (BMI) between 25 and 29.9 kg/m2 and >=30 kg/m2, respectively. Results: Data from 4093 participants (2012 men) was assessed. Mean BMI was 25.2 ± 4.3 kg/m2 (mean ±standard deviation) in 2005 and 25.4 ± 4.3 in 2011 (p for trend using linear regression=0.98). For men, mean BMI was 26.3 ± 3.8 kg/m2 in 2005 and 26.1 ± 3.7 in 2011 (p for trend=0.37); for women, the corresponding values were 24.3 ± 4.6 and 24.7 ± 4.7 kg/m2 (p for trend=0.42). Overall prevalence of overweight and obesity was 32.2% and 13.3%, respectively, in 2005 and 33.6% and 13.7% in 2011 (p for trend using polytomous logistic regression adjusting for gender, age and smoking=0.49 and 0.94 for overweight and obesity, respectively). For men, prevalence of overweight and obesity was 45.9% and 12.2% in 2005 and 42.1 % and 14.6% in 2011 (P for trend=0.03 for overweight and 0.81 for obesity); for women, the corresponding values were 20.4% and 14.2% in 2005 and 25.4% and 12.9% in 2011 (p for trend=0.13 for overweight and 0.99 for obesity). Conclusion: Overweight and obesity levels appear to have levelled in Geneva, with a possible decrease in overweight levels in men. These favorable findings should be replicated in other geographical locations.

Making the Link Between Obesity and wellbeing

Making the links between Obesity & Well-being. A briefing paper developed for Care Services Improvement Partnership (CSIP) North West. The paper covers the epidemiology and evidence of links between health and obesity. Mental well-being is a key factor of obesity and weight management. Good mental health is a protective factor for good physical health and against physical illness and is essential for making healthy lifestyle choices and behaviour changes. Poor mental health can lead to unhealthy lifestyle choices and unhealthy weight management. Obesity and physical illness can also lead to poor mental health. People with mental health problems, especially severe, are also at increased risk of obesity and related poor health. In order to ensure that strategies and programmes effectively address the relevant mental well-being factors, a mental well-being impact assessment (MWIA) could be undertaken. This process is based on health impact assessment methodology and a set of evidence based mental well-being determinants and factors, grouped under the four themes of enhancing control, increasing resilience and community assets, facilitating participation and promoting inclusion. The process also involves identifying indicators to measure progress. Evaluation shows it is effective in engaging stakeholders in service development and evaluation and it increases understanding of mental well-being and its determinants.

Obésité et fertilité ne font pas bon ménage [The impact of obesity on fertility]

There are many negative impacts of obesity on fertility. Obese couples present decreased sperm count, decreased ovulation and conception rates, increased erectile dysfunction and spontaneous abortion rate as well as increased maternal and foetal complications of pregnancy. Moreover, obesity tends to decrease response to fertility treatments. Fortunately, intensive lifestyle modifications can restore fertility while decreasing pregnancy complications risk. With the increasing trend of obesity to affect young populations, taking care of these infertile couples rapidly is capital to restore fertility and decrease its related pregnancy complications.

Statistics on Obesity, Physical Activity and Diet, England 2006

This is a statistical bulletin from the Information Centre which presents a range of information on obesity, physical activity and diet, drawn together from a variety of sources. The topics covered include: overweight and obesity prevalence among adults and children physical activity levels among adults and children trends in purchases and consumption of food and drink, and energy intake health outcomes of being obese hospital admissions and prescriptions dispensed related to obesity. The bulletin also summarises government plans and targets in this area, as well as providing sources of further information and links to relevant documents.

Statistics on obesity, physical activity and diet: England, January 2008

This statistical report from the Information Centre presents a range of information on obesity, physical activity and diet, drawn together from a variety of sources. The publication also summarises government plans and targets in this area, as well as providing sources of further information and links to relevant documents and key sources. There are several notable additions to this, The Information Centre's second report on obesity, physical activity and diet. Waist circumference analysis has been included where possible to reflect the importance of using this measurement in conjunction with Body Mass Index (BMI) in order to identify those at increased risk of health problems associated with obesity. More regional data is presented with a greater number of tables providing government office region and Strategic Health Authority breakdowns. Where possible information at a more local level has been reported on.