Hospital costs in relation to body-mass index in 1·1 million women in England: a prospective cohort study  Seamus Kent, MSc, Prof Jane Green, DPhil, Prof.

Slides:



Advertisements
Similar presentations
Epidemiology of traumatic brain injuries in Europe: a cross-sectional analysis  Dr Marek Majdan, PhD, Dominika Plancikova, MSc, Alexandra Brazinova, PhD,
Advertisements

Volume 378, Issue 9793, Pages (August 2011)
Volume 390, Issue 10089, Pages (July 2017)
Volume 387, Issue 10021, Pages (February 2016)
Volume 388, Issue 10046, Pages (August 2016)
Long-term effects of hormone replacement therapy
Prediction of cervical cancer incidence in England, UK, up to 2040, under four scenarios: a modelling study  Alejandra Castanon, MD, Rebecca Landy, PhD,
Demographic and practice factors predicting repeated non-attendance in primary care: a national retrospective cohort analysis  David A Ellis, PhD, Ross.
Associations of ambient coarse particulate matter, nitrogen dioxide, and carbon monoxide with the risk of kidney disease: a cohort study  Benjamin Bowe,
Residential greenness and prevalence of major depressive disorders: a cross-sectional, observational, associational study of 94 879 adult UK Biobank participants 
Volume 375, Issue 9709, Pages (January 2010)
Frailty and pre-frailty in middle-aged and older adults and its association with multimorbidity and mortality: a prospective analysis of 493 737 UK Biobank.
Volume 12, Issue 8, Pages (August 2011)
Volume 392, Issue 10145, Pages (August 2018)
Long-term effects of hormone replacement therapy
Body-mass index and all-cause mortality – Authors' reply
Mortality in people with mental disorders in the Czech Republic: a nationwide, register- based cohort study  Dzmitry Krupchanka, PhD, Karolína Mladá, MA,
Hypertension in pregnancy and risk of coronary heart disease and stroke: A prospective study in a large UK cohort  Dexter Canoy, Benjamin J. Cairns, Angela.
Midlife contributors to socioeconomic differences in frailty during later life: a prospective cohort study  Prof Eric J Brunner, PhD, Martin J Shipley,
Volume 375, Issue 9732, Pages (June 2010)
Volume 13, Issue 11, Pages (November 2012)
Socioeconomic disparities in first stroke incidence, quality of care, and survival: a nationwide registry-based cohort study of 44 million adults in England 
Body-mass index and all-cause mortality – Authors' reply
Retracted: Worldwide burden of cancer attributable to diabetes and high body-mass index: a comparative risk assessment  Jonathan Pearson-Stuttard, BMBCh,
Alcohol drinking patterns and liver cirrhosis risk: analysis of the prospective UK Million Women Study  Rachel F Simpson, MB BCh, Carol Hermon, MSc, Bette.
National, regional, and global prevalence of smoking during pregnancy in the general population: a systematic review and meta-analysis  Shannon Lange,
Association of BMI with overall and cause-specific mortality: a population-based cohort study of 3·6 million adults in the UK  Krishnan Bhaskaran, PhD,
Effect of diabetes duration and glycaemic control on 14-year cause-specific mortality in Mexican adults: a blood-based prospective cohort study  William.
Socioeconomic inequalities in childhood and adolescent body-mass index, weight, and height from 1953 to 2015: an analysis of four longitudinal, observational,
Effectiveness of the Healthy Lifestyles Programme (HeLP) to prevent obesity in UK primary-school children: a cluster randomised controlled trial  Jenny.
Volume 4, Issue 6, Pages (June 2017)
Impact of Educational Attainment on Health Outcomes in Moderate to Severe CKD  Rachael L. Morton, PhD, Iryna Schlackow, DPhil, Natalie Staplin, PhD, Alastair.
Self-harm and violent criminality among young people who experienced trauma-related hospital admission during childhood: a Danish national cohort study 
The effect of socioeconomic deprivation on the association between an extended measurement of unhealthy lifestyle factors and health outcomes: a prospective.
Volume 388, Issue 10059, Pages (November 2016)
Availability, use of, and satisfaction with green space, and children's mental wellbeing at age 4 years in a multicultural, deprived, urban area: results.
Volume 392, Issue 10160, Pages (November 2018)
Disparities in mortality among 25–44-year-olds in England: a longitudinal, population- based study  Prof Evangelos Kontopantelis, PhD, Prof Iain Buchan,
Measuring health and economic wellbeing in the Sustainable Development Goals era: development of a poverty-free life expectancy metric and estimates for.
Associations between fast food and physical activity environments and adiposity in mid- life: cross-sectional, observational evidence from UK Biobank 
Conventional and genetic evidence on alcohol and vascular disease aetiology: a prospective study of 500 000 men and women in China  Iona Y Millwood, DPhil,
Volume 392, Issue 10164, Pages (December 2018)
Volume 387, Issue 10021, Pages (February 2016)
Retracted: Worldwide burden of cancer attributable to diabetes and high body-mass index: a comparative risk assessment  Jonathan Pearson-Stuttard, BMBCh,
Volume 390, Issue 10089, Pages (July 2017)
Socioeconomic status as an effect modifier of alcohol consumption and harm: analysis of linked cohort data  Dr Srinivasa Vittal Katikireddi, FFPH, Elise.
Volume 20, Issue 1, Pages (January 2019)
Forecasted trends in disability and life expectancy in England and Wales up to 2025: a modelling study  Dr Maria Guzman-Castillo, PhD, Sara Ahmadi-Abhari,
Volume 393, Issue 10172, Pages (February 2019)
Growth faltering in rural Gambian children after four decades of interventions: a retrospective cohort study  Helen M Nabwera, BM, Anthony J Fulford,
Volume 393, Issue 10172, Pages (February 2019)
Are exposures to ready-to-eat food environments associated with type 2 diabetes? A cross-sectional study of 347 551 UK Biobank adult participants  Chinmoy.
Elder abuse prevalence in community settings: a systematic review and meta-analysis  Yongjie Yon, MA, Christopher R Mikton, PhD, Zachary D Gassoumis, PhD,
Body-mass index, blood pressure, and cause-specific mortality in India: a prospective cohort study of 500 810 adults  Vendhan Gajalakshmi, PhD, Ben Lacey,
Association between adiposity outcomes and residential density: a full-data, cross- sectional analysis of 419 562 UK Biobank adult participants  Dr Chinmoy.
Forecasting the care needs of the older population in England over the next 20 years: estimates from the Population Ageing and Care Simulation (PACSim)
Anna J Dare, Calvin Ke, Wilson Suraweera, Peter Rodriguez, Prabhat Jha 
Thank you to our diverse (but not diverse enough) reviewers
Contribution of socioeconomic factors to the variation in body-mass index in 58 low- income and middle-income countries: an econometric analysis of multilevel.
Volume 383, Issue 9921, Pages (March 2014)
Contributions of diseases and injuries to widening life expectancy inequalities in England from 2001 to 2016: a population-based analysis of vital registration.
Worldwide burden of cancer attributable to diabetes and high body-mass index: a comparative risk assessment  Jonathan Pearson-Stuttard, BMBCh, Bin Zhou,
Volume 388, Issue 10059, Pages (November 2016)
Ethnoracial and social trends in breast cancer staging at diagnosis in Brazil, 2001–14: a case only analysis  Prof Isabel dos-Santos-Silva, PhD, Prof.
Epidemiology of traumatic brain injuries in Europe: a cross-sectional analysis  Dr Marek Majdan, PhD, Dominika Plancikova, MSc, Alexandra Brazinova, PhD,
Restructuring physical micro-environments to reduce the demand for meat: a systematic review and qualitative comparative analysis  Filippo Bianchi, MPhil,
Risk factors associated with revision for prosthetic joint infection following knee replacement: an observational cohort study from England and Wales 
Medium and long-term risks of specific cardiovascular diseases in survivors of 20 adult cancers: a population-based cohort study using multiple linked.
Menopausal hormone therapy and 20-year breast cancer mortality
Sickle cell disease: a new era
Presentation transcript:

Hospital costs in relation to body-mass index in 1·1 million women in England: a prospective cohort study  Seamus Kent, MSc, Prof Jane Green, DPhil, Prof Gillian Reeves, PhD, Prof Valerie Beral, FRS, Prof Alastair Gray, PhD, Prof Susan A Jebb, PhD, Benjamin J Cairns, PhD, Borislava Mihaylova, DPhil Hayley Abbiss, Simon Abbott, Rupert Alison, Miranda Armstrong, Krys Baker, Angela Balkwill, Isobel Barnes, Valerie Beral, Judith Black, Roger Blanks, Kathryn Bradbury, Anna Brown, Benjamin Cairns, Dexter Canoy, Andrew Chadwick, Dave Ewart, Sarah Ewart, Lee Fletcher, Sarah Floud, Toral Gathani, Laura Gerrard, Adrian Goodill, Jane Green, Lynden Guiver, Alicia Heath, Darren Hogg, Michal Hozak, Isobel Lingard, Sau Wan Kan, Nicky Langston, Kath Moser, Kirstin Pirie, Alison Price, Gillian Reeves, Keith Shaw, Emma Sherman, Rachel Simpson, Helena Strange, Sian Sweetland, Sarah Tipper, Ruth Travis, Lyndsey Trickett, Anthony Webster, Clare Wotton, Lucy Wright, Owen Yang, Heather Young, Emily Banks, Valerie Beral, Lucy Carpenter, Carol Dezateux, Jane Green, Julietta Patnick, Richard Peto, Cathie Sudlow Seamus Kent, MSc, Prof Jane Green, DPhil, Prof Gillian Reeves, PhD, Prof Valerie Beral, FRS, Prof Alastair Gray, PhD, Prof Susan A Jebb, PhD, Benjamin J Cairns, PhD, Borislava Mihaylova, DPhil Hayley Abbiss, Simon Abbott, Rupert Alison, Miranda Armstrong, Krys Baker, Angela Balkwill, Isobel Barnes, Valerie Beral, Judith Black, Roger Blanks, Kathryn Bradbury, Anna Brown, Benjamin Cairns, Dexter Canoy, Andrew Chadwick, Dave Ewart, Sarah Ewart, Lee Fletcher, Sarah Floud, Toral Gathani, Laura Gerrard, Adrian Goodill, Jane Green, Lynden Guiver, Alicia Heath, Darren Hogg, Michal Hozak, Isobel Lingard, Sau Wan Kan, Nicky Langston, Kath Moser, Kirstin Pirie, Alison Price, Gillian Reeves, Keith Shaw, Emma Sherman, Rachel Simpson, Helena Strange, Sian Sweetland, Sarah Tipper, Ruth Travis, Lyndsey Trickett, Anthony Webster, Clare Wotton, Lucy Wright, Owen Yang, Heather Young, Emily Banks, Valerie Beral, Lucy Carpenter, Carol Dezateux, Jane Green, Julietta Patnick, Richard Peto, Cathie Sudlow  The Lancet Public Health  Volume 2, Issue 5, Pages e214-e222 (May 2017) DOI: 10.1016/S2468-2667(17)30062-2 Copyright © 2017 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY license Terms and Conditions

Figure 1 Annual hospital costs per woman by category of BMI The estimates of annual costs are adjusted for age, region of recruitment, deprivation, educational qualifications, parity, age at first birth, smoking, alcohol intake, HES data year, and proportion of HES year with contributed data. Estimates are derived by averaging predicted costs over all reported participant characteristics but with HES year set at 2010–11. Annual costs are plotted against mean measured BMI within categories of self-reported BMI from the combined 2012 and 2013 Health Surveys for England (appendix p 2). The area of each square is inversely proportional to the variance of the estimate. The error bars show 99% CI. BMI=body-mass index. HES=Hospital Episode Statistics. *In UK 2012 prices. The Lancet Public Health 2017 2, e214-e222DOI: (10.1016/S2468-2667(17)30062-2) Copyright © 2017 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY license Terms and Conditions

Figure 2 Annual hospital costs attributed to overweight and obesity among women aged 55–79 years in England by diagnostic category Overweight and obesity is defined as a BMI of 25 kg/m2 or more. ICD-10 chapters are ordered in the figure according to their contribution to overweight and obesity attributed costs. These estimates were derived by applying the estimates of excess costs by BMI category for each ICD-10 chapter (or combination) from the Million Women Study analysis (appendix p 11) to women aged 55–79 years in England using the Health Surveys for England 2012 and 2013 to estimate the population-level distribution of women by self-reported BMI category and UK Office for National Statistics mid-2013 population estimates (appendix p 2). We calculated excess costs relative to a BMI category of 20 kg/m2 to less than 25 kg/m2, estimated as a weighted average of the estimates of the two subcategories (20 kg/m2 to <22·5 kg/m2 and 22·5 kg/m2 to <25 kg/m2). BMI=body-mass index. *Hospital admissions were categorised by health conditions (ie, ICD-10 chapter of primary diagnosis). Although diabetes could be an underlying cause of many admissions, the categories in this figure represent the health condition for which the individual ultimately receives treatment in an inpatient setting. †All chapters with fewer than 10 000 admissions (certain infectious and parasitic diseases [I]; mental and behavioural disorders [V]; diseases of the ear and mastoid process [VIII]; pregnancy, childbirth, and the puerperium [XV]; certain conditions originating in the perinatal period [XVI]; and congenital malformations, deformations, and chromosomal abnormalities [XVII]) and the remainder of chapter XIX after the separation of fractures and medical and surgical complications. ‡In UK 2012 prices. The Lancet Public Health 2017 2, e214-e222DOI: (10.1016/S2468-2667(17)30062-2) Copyright © 2017 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY license Terms and Conditions

Figure 3 Annual hospital costs attributed to overweight and obesity among women aged 55–79 years in England by types of musculoskeletal problems Overweight and obesity is defined as a BMI of 25 kg/m2 or higher. These estimates were derived by applying the estimates of excess costs by BMI category for each defined subcomponent of chapter XIII (diseases of the musculoskeletal system and connective tissue) from the Million Women Study analysis to women aged 55–79 years in England using the Health Surveys for England 2012 and 2013 to estimate the population-level distribution of women by self-reported BMI category and UK Office for National Statistics mid-2013 population estimates (appendix p 2). Excess costs were calculated relative to a BMI category of 20 kg/m2 to less than 25 kg/m2, estimated as a weighted average of the estimates of the two subcategories (20 kg/m2 to <22·5 kg/m2 and 22·5 kg/m2 to <25 kg/m2). ICD-10=International Classification of Disease 10th revision. OPCS=Office for Population Censuses and Surveys classification of surgical operations and procedures 4th revision. BMI=body-mass index. The Lancet Public Health 2017 2, e214-e222DOI: (10.1016/S2468-2667(17)30062-2) Copyright © 2017 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY license Terms and Conditions