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South Danish Obesity Initiative, Screening for Unrecognized Obesity Related Disease

South Danish Obesity Initiative (SDOI)

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05176132
Acronym
SDOI
Enrollment
2700
Registered
2022-01-04
Start date
2020-09-01
Completion date
2030-09-01
Last updated
2023-10-19

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Obesity

Keywords

Obesity, Lifestyle intervention, BMI, Cohort, sleep apnea, diabetes, PCOS, NAFLD, Hypertension, Hyperlipidemia

Brief summary

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.

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.

Interventions

OTHERLife style intervention (dietician+ physiotherapist)

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.

OTHERSelf management

Patients with no obesity related diseases will not be offered lifestyle intervention, but encouraged to physical activity (self management)

OTHERNo intervention

Control groups (BMI 20-25 and BMI 25-30)

Sponsors

Steno Diabetes Center Odense
CollaboratorOTHER
Odense University Hospital
CollaboratorOTHER
Claus Bogh Juhl
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 60 Years
Healthy volunteers
Yes

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

Design outcomes

Primary

MeasureTime frameDescription
Prevalence of unrecognized obesity-related diseasesBaselineUndetected obesity-related diseases (hypertension, diabetes, dyslipidemia, sleep apnea, non-alcoholic fatty liver disease, chronic obstructive pulmonary disease, EKG-abnormalities, and polycystic ovary syndrome (PCOS).

Secondary

MeasureTime frameDescription
24 hour blood pressureBaselineMeasures mean blood pressure, day and night
HbA1cBaselineHbA1c equal to or higher than 48 mmol/mol indicates diabetes
PrediabetesBaselineHba1c 43-47 indicates prediabetes
Low density lipoproteinBaselineDyslipidemia is defined as low density lipoprotein (LDL) \> 3 mmol/l or high density lipoprotein (HDL) cholesterol \< 1 mmol/l.
Berlin sleep apnea questionnaireBaselineBerlin 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.
Epworth Sleepiness ScaleBaselineEpworth 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
Apnea hypopnoea index (AHI)BaselineQuantifies 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
ElastographyBaselineQuantifies liver-stiffness as a measure of non-alcoholic fatty liver disease, lower is better
FEV1/FVCBaselineIndication of Chronic obstructive pulmonary disease as measured by spirometry
EKGBaselineUnder resting conditions, standard 12 lead electrocardiography
Consultation systolic and diastolic blood pressureBaselineStandard cut-of values
Hand-grip forceBaselineHandgrip force: Higher is better, no defined cut-off value
Fat-free massBaselineFat-free mass as estimated by bioimpedance measure, higher is better, no cut-of value
Gait-speedBaselineGait Speed in 6 meters: High more than 1.1 m/s, Median 0.7-1.1 m/s, Low \<0.7 m/s
Body weightBaselineParticipants are weighed in light clothes with no shoes or pocket items, lower is better
BMIBaselineBody weight / m2, lower is better
Waist circumferenceBaselineLower is better
Work-ability IndexBaselineMeasures the ability of a person to work, higher values are better, no cut-of value
Impact of weight on quality of life-liteBaselineMeasures weight associated quality of life, higher values are better, no cut-of value
Adult Eating Behavior QuestionnaireBaselineMeasures eating behavior and appetite traits, descriptive
SDOI attitude to physical activity questionnairebaselineMeasures a persons attitude to physical activity, higher is better, no cut-of value
Ferriman-Gallwey score self-reportedBaselineMeasures 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

Countries

Denmark

Contacts

Primary ContactClaus B Juhl, Prof. PhD MD
claus.bogh.juhl@rsyd.dk60867172
Backup ContactNina Drøjdahl Ryg, MSc PhD
nina.droejdahl.ryg@rsyd.dk26353163

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 6, 2026