Does the weight history of patients with newly diagnosed type 2 diabetes influence the weight changes after diabetes diagnosis? Niels de Fine Olivarius.

Slides:

Advertisements

Similar presentations

Age (years) Gender (Males), n (%) Dialysis duration (years) Hemoglobin (mg / dl) Pre dialysis SBP (mmHg) Pre dialysis DBP(mmHg) Post dialysis SBP (mmHg)

Advertisements

Project Partners: 計劃夥伴： Funded by: 捐助機構： Gap of Health Care for Midlife Women: Controlling Risk Factors of Stroke as Example Chau Pui Hing CADENZA Project,

U.S. Dept of Health and Human Services. National High Blood Pressure Education Program. Seventh Report of Joint National Committee on Prevention, Detection,

Glucose Tolerance Test Diabetes Mellitus Dr. David Gee FCSN Nutrition Assessment Laboratory.

Factors associated with prediabetes in adult children of patients with premature coronary heart disease; the study of families of patients with premature.

Diabetes Mellitus … Commonly known “phenomenon” of production of sugary urine “ Diabetes” means “to run through” “ Diabetes” means “to run through” “Mellitus”

Changes in levels of haemoglobin A 1c during the first 6 years after diagnosis of clinical type 2 diabetes Clinical implications Niels de Fine Olivarius.

ADVICE. Advice Strongly advise adherence to diet and medication Smoking cessation, exercise, weight reduction Ensure diabetes education and advise Diabetes.

Uncontrolled Hypertension, Systolic and Diastolic Blood Pressure and Development of Symptomatic Peripheral Arterial Disease in the Women’s Health Study.

Breast Cancer Awareness October is Breast Cancer Awareness Month Submitted by Kadee Brousseau, Peer Advisor, University of Missouri.

Overly concerning and falsely reassuring?? FRAMINGHAM RISK FACTORS IN THE ED.

CONGESTIVE HEART FAILURE By: Sade Jordan Donisha Grier.

Body Mass Index, Weight Change and Death in an Older Hypertensive Population: The SHEP Study Grant W Somes Stephen B Kritchevsky Marco Pahor Ronald I Shorr.

Predictors of 5-year mortality of 1,323 patients newly diagnosed with clinical type 2 diabetes in general practice With special emphasis on self-rated.

Obesity M.A.Kubtan MD - FRCS M.A.Kubtan1. 2  Pulmonary Disease  Fatty Liver Disease  Orthopedic Disorders  Gallbladder Disease  Psychological Impact.

Diabetes Darla Hines Kevin Bartlett Susie Brooks.

Epidemiology of Diabetes Mellitus by Santi Martini Departemen of Epidemiology Faculty of Public Health University of Airlangga.

Low level of high density lipoprotein cholesterol in children of patients with premature coronary heart disease. Relation to own and parental characteristics.

Improving the Quality of Physical Health Checks

The effects of initial and subsequent adiposity status on diabetes mellitus Speaker: Qingtao Meng. MD West China hospital, Chendu, China.

Association between Systolic Blood Pressure and Congestive Heart Failure in Hypertensive Patients Mrs. Sutheera Intajarurnsan Doctor of Public Health Student.

TREAT TO TARGET IN DIABETES: An Alternative pathway

An example of a study problem Bias or truth?. How it all started 1968/69 Invited: 1622 women aged 38, 46, 50, 54 and 60 years Examined: 1462 women (90.1%)

1. Relation between dietary macronutrient and fiber intake with metabolic syndrome in Tehranian adults: Tehran Lipid and Glucose Study Hosseinpour S,

Shadi Al-Ahmadi. The Presentation will include: Hypertension Dyslipidemia CVD Type 2 Diabetes-Associated Retinopathy Diabetic Periphral Neuropathy Diabetic.

METABOLIC SYNDROME, INCIDENCE OF DIABETES AND MORTALITY AMONG ELDERLY: THE ITALIAN LONGITUDINAL STUDY ON AGING M Noale, S Maggi, F Limongi, P Siviero,

Organizational criteria for Metabolic Syndrome National Cholesterol Education Program Adult Treatment Panel III World Health OrganizationAmerican Association.

FDA Endocrinologic and Metabolic Drugs Advisory Committee 1st June 2008 Rury Holman Clinical outcomes with anti-diabetic drugs: What we already know.

Risk of Type 2 Diabetes and It’s Complications Along The Continuum of Fasting Plasma Glucose Gregory A. Nichols, PhD Collaborative Diabetes Education Conference.

GDM-DEFINITION Gestational Diabetes Mellitus (GDM) is defined as ‘carbohydrate intolerance with recognition or onset during pregnancy’, irrespective of.

Ohara C （ Mph ）, Murata A （ MD ）, Inoue M （ MD,PhD ）, Inoue K （ MD,PhD ） Persons with undiagnosed diabetes have worse profiles of cardiovascular and metabolic.

Diabetes National Diabetes Control Programme

Copyright © 2012 The McGraw-Hill Companies. All Rights Reserved. Chapter 11 - Chronic Diseases.

#735 KA Lichtenstein 1, C Armon 2, K Buchacz 3, AC Moorman 3, KC Wood 2, JT Brooks 3, and the HOPS Investigators 1 University of Colorado Health Sciences.

© Copyright 2009 by the American Association for Clinical Chemistry Nonfasting Lipids, Lipoproteins, and Apolipoproteins in Individuals With and Without.

High level of low density lipoprotein cholesterol in adult children of patients with premature coronary heart disease: relation to own and parental characteristics.

The Obesity/Diabetes Epidemic: Perspectives, Consequences, Prevention, Treatment Stan Schwartz MD, FACP, FACE Private Practice, Ardmore Obesity Program.

Association between Systolic Blood Pressure and Congestive Heart Failure Complication among Hypertensive and Diabetic Hypertensive Patients Mrs. Sutheera.

Diabetes mellitus “ Basic approach” Dr Sajith.V.S MBBS,MD (Gen Med )

A Diabetes Outcome Progression Trial

Assessing Changes in Diabetes Management and Diabetes Complications in Utah Ladene Larsen, RN Barbara Larsen, RD, MPH William Stinner, Ph.D. Sandra Assasnik,

 GLP-1 agonists have shown to help patients lose weight  Mechanism of GLP-1 agonists  Cardioprotective effects of GLP-1 agonists  GLP-1 agonists and.

Prevention of complications of endocrine disorders R.Fielding Department of Community Medicine, HKU.

Diabetes Health intelligence Jon Walker Advanced public health analyst Surrey County Council

Diabetes Health intelligence Jon Walker Advanced public health analyst Surrey County Council

Association between Systolic Blood Pressure and Congestive Heart Failure in Hypertensive Patients Mrs. Sutheera Intajarurnsan Doctor of Public Health Student.

Journal Club Alcohol, Other Drugs, and Health: Current Evidence November-December, 2015.

Diabetes Care in Turkey Prof. Dr. Taner Damcı Istanbul University Cerrahpaşa Medical Faculty Department on Endocrinology Metabolism and Diabetes.

Diabetes Mellitus Introduction to Diabetes Epidemiology.

Dr. Nadira Mehriban. INTRODUCTION Diabetic retinopathy (DR) is one of the major micro vascular complications of diabetes and most significant cause of.

Carina Signori, DO Journal Club August 2010 Macdonald, M. et al. Diabetes Care; Jun 2010; 33,

6-year vision loss in patients newly diagnosed with clinical type 2 diabetes. What can the patients expect? Niels de Fine Olivarius Volkert Siersma Gitte.

NHS Health Check programme An opportunity to engage 15 million people to live well for longer Louise Cleaver National Programme Support Manager.

Circulation. 2014;129: Association Between Plasma Triglycerides and High-Density Lipoprotein Cholesterol and Microvascular Kidney Disease and Retinopathy.

Risk Factors for Renal Dysfunction in Type 2 Diabetes: U.K. Prospective Diabetes Study 74 Ravi Retnakaran, Carole A Cull, Kerensa I Thorne, Amanda I Adler,

The short term effects of metabolic syndrome and its components on all-cause-cause mortality-the Taipei Elderly Health Examination Cohort Wen-Liang Liu.

Changes in the concentration of serum C-peptide in type 2 diabetes during long-term continuous subcutaneous insulin infusion therapy Department of Internal.

Presented by Slyter Nutrition Consulting Services.

1 Body-Mass Index and Mortality in Korean Men and Women Sun Ha Jee, Ph.D., Jae Woong Sull, Ph.D., Jung yong Park, Ph.D., Sang-Yi Lee, M.D. From the Department.

analysed to establish the distribution of GJD2 SNPs T2D patients

ASSOCIATIONS OF METABOLIC SYNDROME COMPONENTS WITH CRITERIA FOR THE CLINICAL DIAGNOSIS OF THE METABOLIC SYNDROME AS PROPOSED BY THE NCEP-ATP III Metabolic.

Comparison of baseline characteristics in participants who subsequently had an incident cardiovascular event or new-onset diabetes in the Prospective.

Clinical Guidelines on the Identification, Evaluation, and Treatment of Overweight and Obesity in Adults Risks and Assessment NHLBI Obesity Education.

Baseline BMI and Age-Adjusted Incidence of Diabetes Mellitus

Metabolic Syndrome (N=160) Non-Metabolic Syndrome (N=138) 107/53

Type 2 diabetes: Overlap of clinical conditions

Level of risk factor control in the overall sample and by gender

Melissa Herrin, Jan Tate ScD, MPH & Amy Justice, MD, PhD

Baseline Characteristics of the Subjects*

Stratified analysis of the association between GDM and abdominal circumference (AC) >90th percentile at 28 wkGA. Stratified analysis of the association.

Presentation transcript:

Does the weight history of patients with newly diagnosed type 2 diabetes influence the weight changes after diabetes diagnosis? Niels de Fine Olivarius Volkert Siersma Frans Boch Waldorff

Objective To study the predictive value of patients’ weight history before diabetes diagnosis for the observed weight changes after diagnosis

Study sample Patients included in the present study (n=885) Primary exclusions: Severe somatic disease (n=46) Severe mental illness (n=49) Declined to consent (n=59) Newly diagnosed type 2 diabetic patients (n=1428) Patients included at diabetes diagnosis (n=1274) Died before follow-up (n=319) Withdrew consent ( n=34) Lost to follow-up (n=36) Age at diagnosis = 63.2 years

Available body weights ı ı ı ı ı 1 year before diagnosis diabetes diagnosis 6-year follow-up 10 years before diagnosis Age 20 years : Recalled by the patient : Measured by the doctor Body weight (kg) Time in relation to diagnosis (years) Median values of weight for all patients

Weight changes before and after diabetes diagnosis ı ı ı ı ı : Recalled by the patient : Measured by the doctor Body weight (kg) Time in relation to diagnosis (years) W(20y) ΔW (-10 → 1) ΔW (-1 → 0) ΔW (0 → 6)

Weight changes before diabetes diagnosis Men Women years Age (years) BMI (kg/m 2 )

Weight change before and after diabetes diagnosis ΔW (-10 → 1) ΔW (0 → 6) median, kg Weight loss, kg ≥ Weight gain, kg > Total-2.5

Implications

Weight change before and after diabetes diagnosis ΔW (-10 → -1) ΔW (0 → 6) Weight loss, kgWeight gain, kg > >10 Weight loss, kg ≥ Weight gain, kg > Number of patients Variability!

Possible predictor of weight change after diabetes diagnosis, ΔW (0 → 6) Sex Age BMI ΔW (-10 → -1) ΔW (-1 → 0) W(20y) Living alone Education Familial disposition to DM Diagnostic plasma glucose Fasting triglycerides Total cholesterol Urinary albumin Resting heart rate Systolic blood pressure Physical activity Smoking Cardiovascular disease Diabetic retinopathy Peripheral neuropathy Cancer (former or present) Allocation to type of care [Antidiabetic treatment at 6-year follow-up]

Predictors of ΔW (0 → 6) Multivariate analyses, p<0.01 ** p<0.01 *** p<0.001 Linear regression models

Age and ΔW (0 → 6) Time relative to diagnosis (years) Body weight (kg) Age at diagnosis: (n=143) (n=220) (n=270) 80+ (n=44) (n=208)

BMI and ΔW (0 → 6) Body weight (kg) Time relative to diagnosis (years) BMI at diagnosis: ≥ 35 (n=131) (n=265) (n=336) < 25 (n=148)

ΔW (-10 → -1) and ΔW (0 → 6) Time relative to diagnosis (years) Body weight (kg) Weight gain >2 kg (n=412) Stable weight (n=239) Weight loss >2 kg (n=177)

ΔW (-1 → -0) and ΔW (0 → 6) Time relative to diagnosis (years) Body weight (kg) Weight gain >2 kg (n=169) Stable weight (n=286) Weight loss >2 kg (n=373)

Conclusions (1) Weight changes before and after diabetes diagnosis are subject to high interindividual variability

Conclusions (2) Weight change after diabetes diagnosis is not predicted by weight change from 10 to 1 year before diagnosis but by age, BMI and weight change immediately before diagnosis

Predictors of ΔW (0 → 6) Univariate analyses, p<0.01 ** p<0.01 *** p<0.001 Linear regression models

Diagnostic plasma glucose and ΔW (0 → 6) Time relative to diagnosis (years) Body weight (kg) Diagnostic plasma glucose (mmol/l): Red: <10 (n=148) Blue: (n=511) Green: ≥ 17 (n=226)

Antidiabetic treatment at 6- year follow-up and ΔW (0 → 6) Time relative to diagnosis (years) Body weight (kg) Antidiabetic treatment at 6-year follow-up: Oral agents (n=508) Diet alone (n=264) Insulin (n=112)