Home
Clinical Trials
Cardial-MASS-Study: Influenci...

Cardial-MASS-Study: Influencing Factors on Reliability of Selfreported Weight and Height

Last Updated: 2020-03-25

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

UNKNOWN

Total Enrollment

731 participants

Study Classification

OBSERVATIONAL

Study Start Date

2017-04-01

Study Completion Date

2021-06-01

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

Height and weight are important informations in clinical life. Medication is dosed by them and weight, especially overweight, is a risk factor for cardiovascular diseases. Mostly you have to rely on the self-reported informations, because there is plenty of work and little time to weigh and measure every patient. But can the investigators really trust this informations? Former studies have shown, that most of self-reported heights and weights differ from the measured ones. This fact might lead to a wrong dosage of medicine or underestimated risk factors. So the Cardial-MASS-Study tries to detect influencing factors on the reliability of self-reported informations especially among patients, treated at the cardiological department at Saarland University.

Related Clinical Trials

Explore similar clinical trials based on study characteristics and research focus.

Primary Prevention Study: Study on Obesity, Cardiovascular and Psycho-Social Characteristics in the City of Merzig

NCT00111059

Obesity Cardiovascular Disease Depression +1 more

UNKNOWN

Comparison of Anthropometric Parameters and Cardiometabolic Risk Factors Among Subjects With Overweight and Obesity

NCT04318288

Obesity

COMPLETED

Neck Fat Accumulation and Its Relationship to Cardiovascular Risk and Metabolic Syndrome

NCT02205021

Obesity

COMPLETED

Longitudinal Assessment of Cardiovascular and Metabolic Parameters in Obese and Lean Children

NCT01605123

Obesity

COMPLETED

Body Weight and Vascular Function

NCT01675401

Metabolic Syndrome Obesity

COMPLETED NA

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

Weight and height of patients is often recorded in clinical practice, as well as in clinical research. They give important informations for medication dosages, e.g., anticoagulants or anesthesias. Furthermore, the body mass index (BMI), calculated by weight and height, is an easy instrument to estimate a patient's risk for cardiovascular diseases based on obesity.

In clinical practice, informations about height and weight do often rely on self-reported values instead of measured ones. This can be due to limited timely, but also instrumental resources, when scales or measuring tapes are not available. Unfortunately, these self-reported informations are often inaccurate. Age, education, weight, and sex seam to influence and distort them in different ways.

Former studies have shown, that a lot of patients overestimate their height \[1-8\] and underestimate their weight \[1-6\]. This might lead to a wrong classification in normal weight and overweight using BMI. Among elderly (\>60 years) informations relying on measured values and on self-reported values seem to be even more divergent \[10\].

People with overweight are tending to underestimate their weight stronger than people with normal weight. The higher the weight, the more the self-reported information deviates from the actual weight \[11,12\]. Men's informations are more exact than women's, like Niedhammer et al. has shown in a study with 7350 participants \[9\]. Men with a BMI lower than 25 even overestimated their weight. Compared to younger ones, elderly men underestimated their weight more often, and elderly women's self-reported weight was more accurate \[1,9\].

Next to age and gender, socioeconomic variables do influence self-reported measures. The higher the education or working position the more accurate the information about height. Noteworthy, women in high working positions overestimate their height, when compared to women in lower positions, who even underestimate their height \[2,5,6,8,9\].

Furthermore, external conditions of data acquisition may impact validity of self-reported information, too. Stewart supposed that informations given in an interview are more exact than those given in a questionnaire \[11\].

Most of the studies mentioned above are not exclusively related to patients with cardiovascular diseases. Studies referring to this patient population suggest, that men with cardiovascular diseases underestimate their weight less than others \[13\]. Nevertheless, Niedhammer et al. could not confirm this finding \[9\]. HEnce, the aim of this study is to identify factors that influence the validity of self-reported height and weight in patients with cardiovascular disease.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Cardiovascular Diseases

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Observational Model Type

CASE_CONTROL

Study Time Perspective

CROSS_SECTIONAL

Study Groups

Review each arm or cohort in the study, along with the interventions and objectives associated with them.

Group questionnaire

Patient's height and weight are asked by questionnaire in this group. It includes patients at the cardiological department of Saarland University.