The basic anthropometric data describing a person in the broadest context are body weight and height, two of the most frequently analyzed somatometric parameters. The same is true I in relation to clinical patients. The aim of the present study was to compare the self-reported and actual body weight, height and BMI in patients suffering from coronary artery disease and undergoing cardiac rehabilitation. The study sample consisted of 100 patients treated for coronary artery disease. The patients were asked to state their body weight and height. At the same time a three-person study team took measurements, which were later the basis for verification and objective assessment of the data provided by the patients. Statistical analysis was performed with Statistics 11.0 PL software. The analysis of mean results for the assessed group of patients has shown the presence of statistically significant differences between declared and actual data. The differences were observed for both male and female study population. It has been proven that the subjects declare greater body height (mean value 1.697 m vs. 1.666 m) and lower body weight (80.643 kg vs. 82.051 kg). Based on the data from surveys and direct measurements, the body mass index for the self-reported and actual data was calculated. A comparison of these values has shown considerable statistically significant differences. The differences between declared and actual data point to highly subjective self-assessment, which disqualifies the declared data in the context of monitoring of treatment and rehabilitation processes. The authors believe that actual data should be used in direct trial examination of patients suffering from coronary artery disease who presented with acute coronary syndrome.
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Asplund K Karvanen J Giampaoli S Jousilahti P Niemelä M Broda G et al. 2009. MORGAM Project: Relative risks for stroke by age sex and population based on follow-up of 18 European populations in the MORGAM Project. Stroke 240: 2319-26.
Bays HE Toth PP Kris-Etherton PM Abate N Aronne LJ Brown WV et al. 2013. Obesity adiposity and dyslipidemia: a consensus statement from the National Lipid Association. J Clin Lipidol 7: 304-83.
Bolton-Smith C Woodward M Tunstall-Pedoe H Morrison C. 2000. Accuracy of the estimated prevalence of obesity from self reported height and weight in an adult Scottish population. J Epidemiol Community Health 54: 143-8.
Chiolero A Peytremann-Bridevaux I Paccaud F. 2007. Associations between obesity and health conditions may be overestimated if self-reported body mass index is used. Obes Rev 8:373-4.
Chrostowska M Szyndler A Paczwa P Narkiewicz K. 2011. Impact of abdominal obesity on the frequency of hypertension and cardiovascular disease in Poland - results from the IDEA study (international day for the evaluation of abdominal obesity). Blood Press 20:145-52.
Dores H de Araújo Gonçalves P Carvalho MS Sousa PJ Ferreira A Cardim N et al. 2013. Body mass index as a predictor of the presence but not the severity of coronary artery disease evaluated by cardiac computed tomography. Eur J Prev Cardiol Jun 17 [Epub ahead of print].
Ezzati M Lopez AD Rodgers A Vander Hoorn S Murray CJ. 2002. Selected major risk factors and global and regional burden of disease. Lancet 360:1347-60.
Gajewska M Gromulska L. 2009. Adolescents’ self-reported and measured weight. Pediatr Wspolcz Gastroenterol Hepatol Zywienie Dziecka 11:69-72.
Gil J Mora T. 2011. The determinants of misreporting weight and height: The role of social norms. Econ Hum Biol 9:78-91.
Gorber CS Tremblay M Moher D Gorber B. 2007. A comparison of direct vs. self-report measures for assessing height weight and body mass index: a systematic review. Obes Rev 8:307-26.
Gruszka K Kubicka K Jonak W Sobiech KA Steciwko A. 2013. Preferred and Undesirable Products in the Dietary Habits of Women. Adv Clin Exp Med 23:111-6.
Kałka D Domagała Z Kowalewski P Rusiecki L Wojcieszczyk J Kolęda P et al. 2013. The influence of endurance training intensity on dynamics of post-exertional heart rate recovery adaptation in patients with ischemic heart disease. Adv Med Sci 58: 50-7.
Krzyżanowska M Umlawska W. 2002. Measured versus self-reported body height. Int J Anthropology 17:113-20.
Kuczmarski MF Kuczmarski RJ Najjar M. 2001. Effects of age on validity of self-reported height weight and body mass index: findings from the Third National Health and Nutrition Examination Survey 1988-1994. J Am Diet Assoc 101:28-34.
Lin Jin-Mann S Decker MJ Brimmer DJ Reeves WC. 2010. Validity of Self-Reported Body Mass Index and Sleeping Problems Among Adult Population of Georgia. Open Obesity 2:145-50.
Lu Y Hajifathalian K Ezzati M Woodward M Rimm EB Danaei G et al. 2014. Metabolic mediators of the effects of body-mass index overweight and obesity on coronary heart disease and stroke: a pooled analysis of 97 prospective cohorts with 1·8 million participants. Lancet 383:970-83.
Lucca A Moura EC. 2010. Validity and reliability of self-reported weight height and body mass index from telephone interviews. Cad Saude Publica 26:110-22.
McAdams MA Van Dam RM Hu FB. 2007. Comparison of self-reported and measured BMI as correlates of disease markers in US adults. Obesity (Silver Spring) 15:188-96.
Midanik LT Greenfield TK Rogers JD. 2001. Reports of alcohol related harm: telephone versus face-to-face interviews. J Stud Alcohol 62:74-78.
Mokdad AH Ford ES Bowman BA Dietz WH Vinicor F Bales VS et al. 2003. Prevalence of obesity diabetes and obesity- related health risk factors 2001. JAMA 289:76-9.
Oliveira A Ramos E Lopes C Barros H. 2009. Self-reporting weight and height: misclassification effect on the risk estimates for acute myocardial infarction. Eur J Public Health 19:548-53.
Pećin I Samovojska R Heinrich B Zeljković-Vrkić T Laganović M Jelaković B. 2013. Hypertension overweight and obesity in adolescents: the CRO-KOP study. Coll Antropol 37:761-4.
Phillips CM Dillon C Harrington JM McCarthy VJ Kearney PM Fitzgerald AP et al. 2013. Defining metabolically healthy obesity: role of dietary and lifestyle factors. PLoS One 178(10):e76188.
Sarno G Räber L Onuma Y Garg S Brugaletta S van Domburg RT. 2011. Impact of body mass index on the five-year outcome of patients having percutaneous coronary interventions with drug-eluting stents. Am J Cardiol 108:195-201.
Targoński R Buciński A Romaszko J Zakrzewski A Romaszko E. 2007. Analysis of selected risk factors of coronary artery disease in a healthy population aged 35-55 years. Kardiol Pol 65:1216-22.
Van Gaal LF Mertens IL De Block CE. 2006. Mechanisms linking obesity with cardiovascular disease. Nature 444:875-80.
van Wier MF Ariëns GA Dekkers JC Hendriksen IJ Pronk NP Smid T et al. 2006. ALIFE@Work: a randomised controlled trial of a distance counselling lifestyle programme for weight control among an overweight working population [ISRCTN04265725]. BMC Public Health 24:140.
Whitlock G Lewington S Sherliker P Clarke R Emberson J and the Prospective Studies Collaboration. 2009. Body-mass index and cause-specific mortality in 900000 adults: collaborative analyses of 57 prospective studies. Lancet 373:1083-96.
Wiener L Riekert K Ryder C Wood LV. 2004. Assessing medication adherence in adolescents with HIV when electronic monitoring is not feasible. AIDS Patient Care Stds 18:527-38.
World Health Organization. 1995. Physical status: use and interpretation of antropometry - report of a WHO expert committee. World Health Organ Tech Rep Ser 854:1-452.
Younge JO Damen NL van Domburg RT Pedersen SS. 2013. Obesity health status and 7-year mortality in percutaneous coronary intervention: in search of an explanation for the obesity paradox. Int J Cardiol 167:1154-8.