Weigh2go: A Peripatetic Level 1 Weight Management Service

The aim of this intervention is to increase the accessibility of appropriate evidence based support to people who are clinically obese to enable them to make lifestyle changes that will lead to weight loss. Objectives1. Identify patients whose lifestyle put them at risk of obesity and poor health outcomes and provide them with advice and support along with signposting to specific services and activities. 2. Identify patients who are overweight or obese and offer them a structured multi-component programme of support for them to loose weight. 3. Through the use of software collect data to monitor outcomes at individual and practice levels.

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.

Growing up in Ireland. Key findings: infant cohort (at 3 years).

 The latest results from the study paint a picture of how these families are faring across a range of areas in their lives including their health, family life and financial and economic circumstances. In general the findings show that three-year-olds in Ireland are in good health with a few notable public health and related issues (including overweight and obesity), there is overall stability in family structures over the short term and that the recession has had a substantial effect on families with young children over the last number of years. These are the first longitudinal findings from the study. The first wave of fieldwork with the families of the Infant Cohort included approximately 11,100 nine-month-olds, their parents and carers. Interviews began in September 2008 and were completed in March 2009. Interviews for the second round of interviews with this cohort took place between January and August 2011. A total of 90% of the original sample of nine-month-olds were successfully re-interviewed. (A full download of the results released today, presented in three briefing documents can be found by clicking here. Key findings include: Health â?¢ Most of the children were described as being in good health; 75% were rated as very healthy and a further 23% were rated as healthy, but a few minor problems. Girls were more likely to be reported as very healthy (78%) compared with boys (72%). â?¢ One in four or almost one quarter of three-year-old children were overweight (19%) or obese (6%). â?¢ Childrenâ?Ts weight was related to household social class. 5% of children in families in the professional/managerial group were classified as obese at three years of age compared with 9% of those in the most disadvantaged social class group. However, at least one-fifth of children in every social class were overweight. â?¢ Childrens consumption of energy-dense foods such as crisps, sweets, chips, and non-diet fizzy drinks increased as parental education fell. 63% of children whose mother had a lower secondary education or less ate at least one portion of crisps compared with 36% of those from degree-level backgrounds, although consumption of biscuits/chocolates was over 70% for both groups of children. â?¢ Two-thirds (66%) of three-year-olds had received at least one course of antibiotics in the 12 months preceding the interview. Children with a full medical card (35% of the sample) or a GP-only medical card (5% of the sample) were more likely to have received a course of antibiotics than â?¢ Children with a full medical card received a higher number of antibiotic courses on average (2.6) compared with those without a medical card (2.1). â?¢ Just under 16% of three-year-old children were reported as having at least one longstanding illness, condition or disability. The most commonly reported illness types included Asthma (5.8%), Eczema/Skin allergies (3.9%) and Food/digestive allergies (1.2%) Family Life and Childcare â?¢ While the overall distribution of family structure was stable, there have been transitions from one-parent families to two-parent families and vice-versa over the 27 months between interview â?" approximately 2 to 3 percent in each direction. â?¢ 50% of three year olds were in some form of non-parental childcare for eight or more hours a week. The most common form used was centre-based childcare which almost tripled between nine months and three years, from 11% to 30%. â?¢ A similar percentage of grandparents were caring for children at both nine months and three years, 12% and 11% respectively. A total of 10% of three-year-olds were being minded by a childminder, an increase of 3 percentage points from when the children were nine months of age. â?¢ Children who were in some form of non-parental childcare were spending an average of 23 hours a week in their main type of childcare. â?¢ At time of interview the vast majority of mothers reported that they had regular contact with the Study Childâ?Ts grandparents (91%). In offering support to parents, grandparents were most likely to babysit (50%), and buy clothes (40%) at least on a monthly basis. One-parent families were more likely than two-parent families to receive financial support from grandparents with just under one-third (66%) of one-parent families receiving financial support from grandparents at least once every three months. â?¢ The most frequently used discipline technique was â?~discussing or explaining why the behaviour was wrongâ?T, with 63% of mothers saying they always did this. â?¢ 12% of mothers said they used â?~smackingâ?T as a form of discipline now and again and less than 1% used â?~smackingâ?T as a form of discipline more frequently. Over half reported that they never smacked the Study Child. Financial and Economic Circumstances â?¢ Just over half (53%) of mothers of three-year-olds worked outside the home, 38% said they were on home duties and 6% said they were unemployed. â?¢ The biggest change in terms of the work status of three-year-oldsâ?T parents was an increase in the percentage of unemployed fathers â?" 6% when the child was nine months rising to almost 14% when s/he was three years of age. â?¢ 61% of families of three-year-olds reported experiencing difficulties in making â?~ends meetâ?T. This was a substantial increase from 44% in the first round of interviews when the children were nine-months-old. â?¢ Almost two thirds (63%) of all families with three-year-olds reported that the recession had had a very significant or significant effect on them. â?¢ The most frequently recorded effects were: a reduction in wages (63%); canâ?Tt afford luxuries (54%), social welfare reduction (53%) and canâ?Tt afford/cut back on basics (32%). Growing Up in Ireland is a Government funded study tracking the development of two nationally representative cohorts of children: an Infant Cohort which was interviewed initially at nine months and subsequently at three years of age; and a Child Cohort which was interviewed initially at nine years and subsequently at 13 years of age. The study is being conducted by a consortium of researchers led by the Economic and Social Research Institute (ESRI) and Trinity College Dublin. For Further Information Please Contact: Jillian Heffernan Communications Officer, Growing Up in Ireland Tel: 01 896 3378 Mobile: 087 9016880This resource was contributed to our repository by the National Documentation Centre on Drug Use.

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.

Interventions to achieve long-term weight loss in obese older people: A systematic review and meta-analysis

The prevalence of obesity is rapidly increasing in older adults. Information is required about what interventions are effective in reducing obesity and influencing health outcomes in this age group. Thirteen databases were searched, earliest date 1966 to December 2008, including Medline, CINAHL, PsycINFO, the Cochrane database and EMBASE.

Gastric bypass in morbid obese patients is associated with reduction in adipose tissue inflammation via N-oleoylethanolamide (OEA)-mediated pathways.

Paradoxically, morbid obesity was suggested to protect from cardiovascular co-morbidities as compared to overweight/obese patients. We hypothesise that this paradox could be inferred to modulation of the "endocannabinoid" system on systemic and subcutaneous adipose tissue (SAT) inflammation. We designed a translational project including clinical and in vitro studies at Geneva University Hospital. Morbid obese subjects (n=11) were submitted to gastric bypass surgery (GBS) and followed up for one year (post-GBS). Insulin resistance and circulating and SAT levels of endocannabinoids, adipocytokines and CC chemokines were assessed pre- and post-GBS and compared to a control group of normal and overweight subjects (CTL) (n=20). In vitro cultures with 3T3-L1 adipocytes were used to validate findings from clinical results. Morbid obese subjects had baseline lower insulin sensitivity and higher hs-CRP, leptin, CCL5 and anandamide (AEA) levels as compared to CTL. GBS induced a massive weight and fat mass loss, improved insulin sensitivity and lipid profile, decreased C-reactive protein, leptin, and CCL2 levels. In SAT, increased expression of resistin, CCL2, CCL5 and tumour necrosis factor and reduced MGLL were shown in morbid obese patients pre-GBS when compared to CTL. GBS increased all endocannabinoids and reduced adipocytokines and CC chemokines. In morbid obese SAT, inverse correlations independent of body mass index were shown between palmitoylethanolamide (PEA) and N-oleoylethanolamide (OEA) levels and inflammatory molecules. In vitro, OEA inhibited CCL2 secretion from adipocytes via ERK1/2 activation. In conclusion, GBS was associated with relevant clinical, metabolic and inflammatory improvements, increasing endocannabinoid levels in SAT. OEA directly reduced CCL2 secretion via ERK1/2 activation in adipocytes.

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.

Interventions on obesity

This briefing paper provides a summary of the effectiveness of interventions to prevent obesity among children and young people.

Tackling Child Obesity - First Steps

Obesity is a complex public health issue that is a growing threat to children۪s health, as well as a current and future drain on National Health Service (NHS) resources. The Wanless Report stated that public health the promotion of good health and the prevention of disease should be central to the work of the NHS.2 Obesity already costs the NHS directly around 1 billion a year and the UK economy a further 2.3 to 2.6 billion in indirect costs. If this present trend continues, by 2010 the annual cost to the economy could be 3.6 billion a year. This joint report from the Audit Commission, Healthcare Commission and the National Audit Office aims to identify how the barriers to creating a successful delivery chain can be addressed and makes recommendations about how the delivery chain might be strengthened and made more efficient as part of the need for the Departments to contribute to the Government۪s wider efficiency programme.

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.

Using Local Evidence to Motivate New Interventions to Reduce Childhood Obesity

Presentation by Margaret Eames at the Regional meeting on measuring body mass index (BMI) in the child population.

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.

National Child Measurement Programme: Detailed Analysis of the 2006/07 National Dataset

The National Child Measurement Programme (NCMP) weighs and measures children in Reception (typically aged 4 - 5 years) and (aged 10 - 11 years) annually. The report highlights the usefulness of the NCMP Dataset in furthering our understanding of underweight, overweight and obesity in children, as well as highlighting some areas where improvements can be made in the programme, or where further analysis and investigation is required. The purpose of this report is not to provide specific local results, but an understanding from national-level analysis that can be used to inform local uses and analysis of NCMP data.