Identifying Predictors of mental, functional, and medical outcome in Obesity Surgery

Identifying Predictors of mental, functional, and medical outcome in Obesity Surgery - IPOS - Study

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

DRKS

Registry ID

DRKS00021132

Enrollment

800

Registered

2020-07-30

Start date

2018-09-04

Completion date

Unknown

Last updated

2025-04-07

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

Conditions

E66.92

Interventions

Group 1: While taking part in the 'Multimodalem Therapieprogramm vor bariatrischer Operation' patients suffering from obesity will be investigated. They will answer questionnaires concerning quality o

Eligibility

Sex/Gender

All

Age

18 Years to 65 Years

Inclusion criteria

Inclusion criteria: BMI >35 kg/m2 Age 18-65 years old ability to talk to and understand the study staff

Exclusion criteria

Exclusion criteria: Diseases of the psychotic range Addiction to psychotropic substances (except nicotine) Lack of ability to communicate adequately with the examiner/study staff

Design outcomes

Primary

Measure	Time frame
1. Analysis of the multifactorial data set from the EOSS and the (sub) constructs based on RDoC using hierarchical cluster analysis. The aim is to identify structures in the data, i.e. of groups of variables that are related and whose combination into a cluster makes sense in terms of content. 2. Analysis of the relationships between the clusters found in 1. and a) the categorical (comorbid) psychopathology according to ICD-10 / DSM-5 and b) the stage classification according to EOSS 3. Analysis of the differences between the clusters found in 1. with regard to preoperative BMI, quality of life, self-harming behavior and suicidality. Longitudinal examination (three years) Longitudinal study (three years). Changes in EOSS stage as a combined endpoint from the different EOSS axes.	—

Measure

Time frame

1. Analysis of the multifactorial data set from the EOSS and the (sub) constructs based on RDoC using hierarchical cluster analysis. The aim is to identify structures in the data, i.e. of groups of variables that are related and whose combination into a cluster makes sense in terms of content. 2. Analysis of the relationships between the clusters found in 1. and a) the categorical (comorbid) psychopathology according to ICD-10 / DSM-5 and b) the stage classification according to EOSS 3. Analysis of the differences between the clusters found in 1. with regard to preoperative BMI, quality of life, self-harming behavior and suicidality. Longitudinal examination (three years) Longitudinal study (three years). Changes in EOSS stage as a combined endpoint from the different EOSS axes.

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Secondary

Measure	Time frame
%EWL, self harm behavior, suicidality, quality of life,incidence/recurrence of mental disorders An amendment for the data collection of the catamnesis has been submitted to the ethics committee, is not yet available and will be submitted subsequently	—

Countries

Germany

Contacts

Public ContactVerena Hagena

LWL Universitätsklinik für Psychosomatik und Psychotherapie der Ruhr-Universität Bochum

verena.hagena@rub.de0234-5077-3333

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Feb 4, 2026