- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05176132
South Danish Obesity Initiative, Screening for Unrecognized Obesity Related Disease (SDOI)
South Danish Obesity Initiative (SDOI)
People with BMI >30 kg/m2 will be included in at population-based cohort. Additionally, one control group with BMI 18.5-25 kg/m2 and one control group with BMI 25-30 kg/m2 will be included. All participants with age 18 and 60 years.
To evaluate health status participants will be screened by for undetected obesity-related diseases (hypertension, diabetes, dyslipidemia, sleep apnea, non-alcoholic fatty liver disease, chronic obstructive pulmonary disease, EKG-abnormalities, polycystic ovary syndrome (PCOS), and joint pain and for quality of life at baseline, 1 year, and 5 years. Additionally, anthropometric measurements are collected and a biobank is established for future research studies.
People with obesity related disease will be offered participation in a 12 month personalized lifestyle intervention program aimed at improvement of health and self-perception.
The collected data will be used to detect the prevalence for obesity-related disease to identify predictors for future obesity related disease and to evaluate the effect of a lifestyle intervention on health and quality of life.
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Obesity is associated with a variety of adverse health problems, and there is currently no effective scalable treatment with a durable effect. Additionally, well-known obesity related health problems are often underdiagnosed.
A Danish cohort of people with BMI >30 kg/m2 is established on University Hospital South West Jutland. Additionally, one control group with BMI 18.5-25 kg/m2 and one control group with BMI 25-30 kg/m2 will be included. Age range is defined as 18 and 60 years.
To evaluate health status all participants are screened by for undetected obesity-related diseases (hypertension, diabetes, dyslipidemia, sleep apnea, non-alcoholic fatty liver disease, chronic obstructive pulmonary disease, EKG-abnormalities, polycystic ovary syndrome (PCOS) and joint pain.
Data will be collected from questionnaires (Impact of Weight related on Quality of Life, Attitude to physical activity questionnaire, Adult Eating Behavior questionnaire, Berlin sleep apnea and Epworths Sleepiness scale, PCOS related questionnaire including Ferriman-Gallwey score, Work Ability Index, and weight history); clinical laboratory variables (HbA1c, glucose, c-peptide, lipid status, thyroid stimulating hormone (TSH), triiodothyronine (T3), thyroxine (T4), hemoglobin, thrombocytes, alanine aminotransferase (ALAT), aspartate aminotransferase (ASAT), bilirubin, gamma glutamic transferase, lactate dehydrogenase (LDH), alkaline phosphatase, and creatinine levels); and anthropometric measurements (blood pressure, EKG, liver elastography, spirometry (forced expiratory volume during first second as a fraction of forced vital capacity (FEV1/FVC), hand grip strength, gait speed, and CT scan for estimation of the subcutaneous and visceral fat volume). People with diseases uncovered by the screening program will be referred to specialized departments or general practice for further assessment and treatment.
A biobank (blood, feces, urine) is established for future research studies. Patients with obesity related diseases will be invited to participate in a personalized lifestyle intervention program with dietitians and physiotherapists focusing on health improvement through personal motivation, perceived limitations and body accept. Additionally, participants are invited to a 1 year follow-up. All participants, independent of disease status, will be invited for at new screening 5 years after the initial visit.
The data collected for the cohort will be used to estimate the prevalence and development of new obesity-related diseases, and to identify predictors for obesity-related diseases. Finally, the effect of the lifestyle intervention-program will be evaluated.
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Claus B Juhl, Prof. PhD MD
- Phone Number: 60867172
- Email: claus.bogh.juhl@rsyd.dk
Study Contact Backup
- Name: Nina Drøjdahl Ryg, MSc PhD
- Phone Number: 26353163
- Email: nina.droejdahl.ryg@rsyd.dk
Study Locations
-
-
-
Esbjerg, Denmark, 6700
- Recruiting
- Hospital of South West Jutland, University hospital of Southern Denmark
-
Contact:
- Nina Drøjdahl Ryg, MSc PhD
- Phone Number: 26353163
- Email: nina.droejdahl.ryg@rsyd.dk
-
Contact:
- Claus B Juhl, MD PhD
- Phone Number: 60867172
- Email: claus.bogh.juhl@rsyd.dk
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Participants with BMI > 30 refered from 1) Genaral practice, 2) Other hospital Departments at Hosital South West Jutland, or 3) Psychiatric Department.
The uptake area are 5 muncipalities with mixed urban and rural areas.
Description
Inclusion Criteria:
- BMI >30 (Obese cohort), BMI 20-25 (control group I), BMI 25-30 (control group II)
- Age 18-60 years
Exclusion Criteria:
- None
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
---|---|
OBESE (BMI>30)
BMI above 30 kg/m2 and being 18 to 60 years of age.
Since the initiative is open for the general obese population, the investigators did not define the size of the cohort, but expect around 500 referrals per year.
|
Obese patients with obesity related diseases will be invited to participate in a personalized lifestyle intervention program with dieticians and physiotherapists focusing on health improvement through personal motivation and perceived limitations and body accept.
Patients with no obesity related diseases will not be offered lifestyle intervention, but encouraged to physical activity (self management)
|
CONTROL Normal weight (BMI 20-25)
100 persons with normal weight (BMI 20 - 25 kg/m2) 18 to 60 years of age
|
Control groups (BMI 20-25 and BMI 25-30)
|
CONTROL Overweight (BMI 25-30)
100 persons with overweight (BMI 25 - 30 kg/m2) 18 to 60 years of age
|
Control groups (BMI 20-25 and BMI 25-30)
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Prevalence of unrecognized obesity-related diseases
Time Frame: Baseline
|
Undetected obesity-related diseases (hypertension, diabetes, dyslipidemia, sleep apnea, non-alcoholic fatty liver disease, chronic obstructive pulmonary disease, EKG-abnormalities, and polycystic ovary syndrome (PCOS).
|
Baseline
|
Prevalence of unrecognized obesity-related diseases
Time Frame: 5 years
|
Undetected obesity-related diseases (hypertension, diabetes, dyslipidemia, sleep apnea, non-alcoholic fatty liver disease, chronic obstructive pulmonary disease, EKG-abnormalities, and polycystic ovary syndrome (PCOS).
|
5 years
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Consultation systolic and diastolic blood pressure
Time Frame: Baseline
|
Standard cut-of values
|
Baseline
|
Consultation systolic and diastolic blood pressure
Time Frame: 1 year
|
Standard cut-of values
|
1 year
|
Consultation systolic and diastolic blood pressure
Time Frame: 5 years
|
Standard cut-of values
|
5 years
|
24 hour blood pressure
Time Frame: Baseline
|
Measures mean blood pressure, day and night
|
Baseline
|
24 hour blood pressure
Time Frame: 5 years
|
Measures mean blood pressure, day and night
|
5 years
|
HbA1c
Time Frame: Baseline
|
HbA1c equal to or higher than 48 mmol/mol indicates diabetes
|
Baseline
|
HbA1c
Time Frame: 1 year
|
HbA1c equal to or higher than 48 mmol/mol indicates diabetes
|
1 year
|
HbA1c
Time Frame: 5 years
|
HbA1c equal to or higher than 48 mmol/mol indicates diabetes
|
5 years
|
Prediabetes
Time Frame: Baseline
|
Hba1c 43-47 indicates prediabetes
|
Baseline
|
Prediabetes
Time Frame: 1 year
|
Hba1c 43-47 indicates prediabetes
|
1 year
|
Prediabetes
Time Frame: 5 years
|
Hba1c 43-47 indicates prediabetes
|
5 years
|
Low density lipoprotein
Time Frame: Baseline
|
Dyslipidemia is defined as low density lipoprotein (LDL) > 3 mmol/l or high density lipoprotein (HDL) cholesterol < 1 mmol/l.
|
Baseline
|
Low density lipoprotein
Time Frame: 1 year
|
Dyslipidemia is defined as low density lipoprotein (LDL) > 3 mmol/l or high density lipoprotein (HDL) cholesterol < 1 mmol/l.
|
1 year
|
Low density lipoprotein
Time Frame: 5 years
|
Dyslipidemia is defined as low density lipoprotein (LDL) > 3 mmol/l or high density lipoprotein (HDL) cholesterol < 1 mmol/l.
|
5 years
|
Berlin sleep apnea questionnaire
Time Frame: Baseline
|
Berlin sleep apnea questionnaire: The Berlin Questionnaire consists of three categories designed to elicit information regarding snoring (category 1), daytime somnolence (category 2), and the presence of obesity and/or hypertension (category 3).
Categories 1 and 2 are considered positive if 2 or more responses are positive category 3 is considered positive if 1 response is positive and/or the body mass index is greater than 30 kg per meter squared.
A patient is considered to have a high likelihood of sleep disordered breathing if 2 or more categories are positive.
|
Baseline
|
Berlin sleep apnea questionnaire
Time Frame: 5 years
|
Berlin sleep apnea questionnaire: The Berlin Questionnaire consists of three categories designed to elicit information regarding snoring (category 1), daytime somnolence (category 2), and the presence of obesity and/or hypertension (category 3).
Categories 1 and 2 are considered positive if 2 or more responses are positive category 3 is considered positive if 1 response is positive and/or the body mass index is greater than 30 kg per meter squared.
A patient is considered to have a high likelihood of sleep disordered breathing if 2 or more categories are positive.
|
5 years
|
Epworth Sleepiness Scale
Time Frame: Baseline
|
Epworth Sleepiness Scale: Score 0-24.
0-5 Lower Normal Daytime Sleepiness, 6-10 Higher Normal Daytime Sleepiness, 11-12 Mild Excessive Daytime Sleepiness 13-15 Moderate Excessive Daytime Sleepiness, 16-24 Severe Excessive Daytime Sleepiness
|
Baseline
|
Epworth Sleepiness Scale
Time Frame: 5 years
|
Epworth Sleepiness Scale: Score 0-24.
0-5 Lower Normal Daytime Sleepiness, 6-10 Higher Normal Daytime Sleepiness, 11-12 Mild Excessive Daytime Sleepiness 13-15 Moderate Excessive Daytime Sleepiness, 16-24 Severe Excessive Daytime Sleepiness
|
5 years
|
Apnea hypopnoea index (AHI)
Time Frame: Baseline
|
Quantifies sleep apnea cardiorespiratory monitoring: AHI < 5 per hour=normal or minimal, AHI ≥ 5, but < 15 per hour: mild, AHI ≥ 15, but < 30 per hour moderate and AHI ≥ 30 per hour: severe
|
Baseline
|
Apnea hypopnoea index (AHI)
Time Frame: 5 years
|
Quantifies sleep apnea cardiorespiratory monitoring: AHI < 5 per hour=normal or minimal, AHI ≥ 5, but < 15 per hour: mild, AHI ≥ 15, but < 30 per hour moderate and AHI ≥ 30 per hour: severe
|
5 years
|
Elastography
Time Frame: Baseline
|
Quantifies liver-stiffness as a measure of non-alcoholic fatty liver disease, lower is better
|
Baseline
|
Elastography
Time Frame: 5 years
|
Quantifies liver-stiffness as a measure of non-alcoholic fatty liver disease, lower is better
|
5 years
|
FEV1/FVC
Time Frame: Baseline
|
Indication of Chronic obstructive pulmonary disease as measured by spirometry
|
Baseline
|
FEV1/FVC
Time Frame: 5 years
|
Indication of Chronic obstructive pulmonary disease as measured by spirometry
|
5 years
|
EKG
Time Frame: Baseline
|
Under resting conditions, standard 12 lead electrocardiography
|
Baseline
|
EKG
Time Frame: 5 years
|
Under resting conditions, standard 12 lead electrocardiography
|
5 years
|
Ferriman-Gallwey score self-reported
Time Frame: Baseline
|
Measures hirsutism and indicates risk of Polycystic ovary syndrome (PCOS): Whole body equal or less than 10: normal, over 10: increased, Face: more than 2 is considered high and indicates hirsutism
|
Baseline
|
Ferriman-Gallwey score self-reported
Time Frame: 5 years
|
Measures hirsutism and indicates risk of Polycystic ovary syndrome (PCOS): Whole body equal or less than 10: normal, over 10: increased, Face: more than 2 is considered high and indicates hirsutism
|
5 years
|
Hand-grip force
Time Frame: Baseline
|
Handgrip force: Higher is better, no defined cut-off value
|
Baseline
|
Hand-grip force
Time Frame: 1 year
|
Handgrip force: Higher is better, no defined cut-off value
|
1 year
|
Hand-grip force
Time Frame: five years
|
Handgrip force: Higher is better, no defined cut-off value
|
five years
|
Fat-free mass
Time Frame: Baseline
|
Fat-free mass as estimated by bioimpedance measure, higher is better, no cut-of value
|
Baseline
|
Fat-free mass
Time Frame: 1 year
|
Fat-free mass as estimated by bioimpedance measure, higher is better, no cut-of value
|
1 year
|
Fat-free mass
Time Frame: 5 years
|
Fat-free mass as estimated by bioimpedance measure, higher is better, no cut-of value
|
5 years
|
Gait-speed
Time Frame: Baseline
|
Gait Speed in 6 meters: High more than 1.1 m/s, Median 0.7-1.1 m/s, Low <0.7 m/s
|
Baseline
|
Gait-speed
Time Frame: 1 year
|
Gait Speed in 6 meters: High more than 1.1 m/s, Median 0.7-1.1 m/s, Low <0.7 m/s
|
1 year
|
Gait-speed
Time Frame: 5 years
|
Gait Speed in 6 meters: High more than 1.1 m/s, Median 0.7-1.1 m/s, Low <0.7 m/s
|
5 years
|
Body weight
Time Frame: Baseline
|
Participants are weighed in light clothes with no shoes or pocket items, lower is better
|
Baseline
|
Body weight
Time Frame: 1 year
|
Participants are weighed in light clothes with no shoes or pocket items, lower is better
|
1 year
|
Body weight
Time Frame: 5 years
|
Participants are weighed in light clothes with no shoes or pocket items, lower is better
|
5 years
|
BMI
Time Frame: Baseline
|
Body weight / m2, lower is better
|
Baseline
|
BMI
Time Frame: 1 year
|
Body weight / m2, lower is better
|
1 year
|
BMI
Time Frame: 5 years
|
Body weight / m2, lower is better
|
5 years
|
Waist circumference
Time Frame: Baseline
|
Lower is better
|
Baseline
|
Waist circumference
Time Frame: 1 year
|
Lower is better
|
1 year
|
Waist circumference
Time Frame: 5 years
|
Lower is better
|
5 years
|
Work-ability Index
Time Frame: Baseline
|
Measures the ability of a person to work, higher values are better, no cut-of value
|
Baseline
|
Work-ability Index
Time Frame: 5 years
|
Measures the ability of a person to work, higher values are better, no cut-of value
|
5 years
|
Impact of weight on quality of life-lite
Time Frame: Baseline
|
Measures weight associated quality of life, higher values are better, no cut-of value
|
Baseline
|
Impact of weight on quality of life-lite
Time Frame: 1 year
|
Measures weight associated quality of life, higher values are better, no cut-of value
|
1 year
|
Impact of weight on quality of life-lite
Time Frame: 5 years
|
Measures weight associated quality of life, higher values are better, no cut-of value
|
5 years
|
Adult Eating Behavior Questionnaire
Time Frame: Baseline
|
Measures eating behavior and appetite traits, descriptive
|
Baseline
|
Adult Eating Behavior Questionnaire
Time Frame: 1 year
|
Measures eating behavior and appetite traits, descriptive
|
1 year
|
Adult Eating Behavior Questionnaire
Time Frame: 5 years
|
Measures eating behavior and appetite traits, descriptive
|
5 years
|
SDOI attitude to physical activity questionnaire
Time Frame: baseline
|
Measures a persons attitude to physical activity, higher is better, no cut-of value
|
baseline
|
SDOI attitude to physical activity questionnaire
Time Frame: 1 year
|
Measures a persons attitude to physical activity, higher is better, no cut-of value
|
1 year
|
SDOI attitude to physical activity questionnaire
Time Frame: 5 years
|
Measures a persons attitude to physical activity, higher is better, no cut-of value
|
5 years
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Claus B Juhl, Prof. PhD MD, Hospital South West Jutland, University hospital of Southern Denmark
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- SDOI
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
Clinical Trials on Obesity
-
Central Hospital, Nancy, FranceNot yet recruiting
-
University of MinnesotaNational Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)Active, not recruitingAdolescent ObesityUnited States
-
Helsinki University Central HospitalKarolinska Institutet; Folkhälsan Researech CenterEnrolling by invitation
-
Istanbul Medipol University HospitalMedipol UniversityCompletedObesity, Morbid | Obesity, Adolescent | Obesity, Abdominal | Weight, Body | Obesity, VisceralTurkey
-
Azienda Ospedaliero-Universitaria Consorziale Policlinico...Institute of Biomembranes, Bioenergetics and Molecular Biotechnologies; Istituti... and other collaboratorsCompletedMorbid Obesity | Metabolically Healthy ObesityItaly
-
Queen Fabiola Children's University HospitalNot yet recruitingMorbid Obesity | Adolescent Obesity | Bariatric SurgeryBelgium
-
Washington University School of MedicinePatient-Centered Outcomes Research Institute; Pennington Biomedical Research... and other collaboratorsActive, not recruitingOvernutrition | Nutrition Disorders | Overweight | Body Weight | Pediatric Obesity | Body Weight Changes | Childhood Obesity | Weight Gain | Adolescent Obesity | Obesity, Childhood | Overweight and Obesity | Overweight or Obesity | Overweight AdolescentsUnited States
-
The Hospital for Sick ChildrenCompleted
-
Ihuoma EneliCompletedObesity, ChildhoodUnited States
-
Istituto Auxologico ItalianoRecruiting
Clinical Trials on Life style intervention (dietician+ physiotherapist)
-
Glostrup University Hospital, CopenhagenLundbeck Foundation; Sygekassernes HelsefondCompletedPhysical Activity | Sedentary Behavior | Life StyleDenmark
-
Isfahan University of Medical SciencesCompletedDiabetes Mellitus, Type 2Iran, Islamic Republic of
-
The George InstituteNational Health and Medical Research Council, Australia; All India Institute...CompletedGestational Diabetes Mellitus in PregnancyBangladesh, India, Sri Lanka
-
Meir Medical CenterRecruitingFunctional Gastrointestinal Disorders | Obesity, ChildhoodIsrael
-
Novartis PharmaceuticalsCompleted
-
Isfahan University of Medical SciencesCompletedDiabetes Mellitus, Type 2Iran, Islamic Republic of
-
University of British ColumbiaCompleted
-
Soroka University Medical CenterUnknown
-
University of California, San FranciscoSan Francisco Department of Public Health; San Francisco General Hospital; Sonoma...CompletedType 2 Diabetes Mellitus | Gestational Diabetes MellitusUnited States
-
Instituto Nacional de Ciencias Medicas y Nutricion...Completed