Product - HealthCaters

Wissenschaftlich fundierte Krankheitserkennung

Unser HealthCheck misst gezielt wichtige Gesundheitsmarker, um frühe Anzeichen von über 25 kritischen Erkrankungen zu erkennen – von Diabetes und Herz-Kreislauf-Erkrankungen bis hin zu psychischen Belastungen.

Adipositas

Diabetes

Prädiabetes

Hyperlipidämie

Bluthochdruck

Herz-Kreislauf-Erkrankungen

Angststörungen

Depression

Burnout

Schlafstörungen

Metabolisches Syndrom

Lungenerkrankungen

Krebsrisiko

Psychische Gesundheitsprobleme

Jeder Parameter basiert auf peer-reviewten Studien

BMI & Körperzusammensetzung

Effects of body fatness and physical activity on cardiovascular risk: Risk prediction using the bioelectrical impedance method

American Heart Association (2010) ‘Effects of body fatness and physical activity on cardiovascular risk: Risk prediction using the bioelectrical impedance method’, Circulation, 122(4), pp. 472–491.

Verfügbar bei: https://pubmed.ncbi.nlm.nih.gov/17132589/

The significance of measuring body fat percentage determined by bioelectrical impedance analysis for detecting subjects with cardiovascular disease risk factors

Kuwabara, M., Kuwabara, R., Hisatome, I., Roncal-Jimenez, C.A., Niwa, K., Andres-Hernando, A., Jensen, T., Bjornstad, P., Sato, Y., Milagres, T., Garcia, G., Ohno, M., Lanaspa, M.A. and Johnson, R.J. (2012) ‘The significance of measuring body fat percentage determined by bioelectrical impedance analysis for detecting subjects with cardiovascular disease risk factors’, Hypertension Research, 35(9), pp. 875–881.

Verfügbar bei: https://pubmed.ncbi.nlm.nih.gov/22784998/

Body fat estimates from bioelectrical impedance equations in cardiovascular risk assessment: The PREVEND cohort study

Byambasukh, O., Eisenga, M.F., Gansevoort, R.T., Bakker, S.J.L. and Corpeleijn, E. (2019) ‘Body fat estimates from bioelectrical impedance equations in cardiovascular risk assessment: The PREVEND cohort study’, European Journal of Preventive Cardiology, 26(9), pp. 905–916.

Verfügbar bei: https://pmc.ncbi.nlm.nih.gov/articles/PMC6545622/

Excess Weight and Body Fat Percentage Associated with Waist Circumference as a Cardiometabolic Risk Factor in University Students

Vargas-Ruiz, A.G., Sosa-Zavaleta, L.D., Ponce-García, M., et al. (2022) ‘Excess Weight and Body Fat Percentage Associated with Waist Circumference as a Cardiometabolic Risk Factor in University Students’, Journal of Nutrition and Metabolism, 2022, Article ID 8439890, pp. 1–8.

Verfügbar bei: https://pmc.ncbi.nlm.nih.gov/articles/PMC8754593/

Blutdruckmessung

Home Blood Pressure Monitoring: Current Status and New Developments

Stergiou, G.S., Palatini, P., Asmar, R., Ioannidis, J.P.A., Kollias, A., Lacy, P., McManus, R., Myers, M., Parati, G., Shennan, A., Wang, J., O’Brien, E. and Mancia, G. (2021) ‘Home Blood Pressure Monitoring: Current Status and New Developments’, Journal of Clinical Hypertension, 23(3), pp. 479–487.

Verfügbar bei: https://pmc.ncbi.nlm.nih.gov/articles/PMC8385573/

The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure: The JNC 7 Report

Chobanian, A.V., Bakris, G.L., Black, H.R., Cushman, W.C., Green, L.A., Izzo, J.L., Jones, D.W., Materson, B.J., Oparil, S., Wright, J.T. and Roccella, E.J. (2003) ‘The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure: The JNC 7 Report’, JAMA, 289(19), pp. 2560–2572.

Verfügbar bei: https://www.nhlbi.nih.gov/files/docs/guidelines/jnc7full.pdf

Self-blood pressure monitoring as a tool to increase hypertension control

Banegas, J.R. and Segura, J. (2019) ‘Self-blood pressure monitoring as a tool to increase hypertension control’, Journal of Clinical Hypertension, 21(8), pp. 1186–1188.

Verfügbar bei: https://pmc.ncbi.nlm.nih.gov/articles/PMC8030277/

Herzgesundheit

Screening for asymptomatic atrial fibrillation while monitoring the blood pressure at home: Trial of regular versus irregular pulse for prevention of stroke

Wiesel, J., Kamel, H., Haim, M., et al. (2013) ‘Screening for asymptomatic atrial fibrillation while monitoring the blood pressure at home: Trial of regular versus irregular pulse for prevention of stroke’, International Journal of Cardiology, 168(3), pp. 2457–2461.

Verfügbar bei: https://pubmed.ncbi.nlm.nih.gov/23499278/

Prospective blinded evaluation of the smartphone-based AliveCor Kardia ECG monitor for atrial fibrillation detection: The PEAK-AF study

Wegner, F.K., Kochhäuser, S., Ellermann, C., Lange, P.S., Frommeyer, G., Leitz, P., Eckardt, L. and Dechering, D.G. (2019) ‘Prospective blinded evaluation of the smartphone-based AliveCor Kardia ECG monitor for atrial fibrillation detection: The PEAK-AF study’, European Journal of Internal Medicine, 65, pp. 73–79.

Verfügbar bei: https://www.sciencedirect.com/science/article/pii/S0953620519304212

Blutzuckerwerte

Prevalence of type 2 diabetes in Germany in 2040: estimates from an epidemiological model

Tönnies, T., Röckl, S., Hoyer, A., Heidemann, C., Baumert, J., Du, Y., Paprott, R., Brinks, R. and Scheidt-Nave, C. (2012) ‘Prevalence of type 2 diabetes in Germany in 2040: estimates from an epidemiological model’, Deutsches Ärzteblatt International, 109(44), pp. 781–787.

Verfügbar bei: https://pubmed.ncbi.nlm.nih.gov/22878939/

Temporal changes in the prevalence of diagnosed diabetes, undiagnosed diabetes and prediabetes: findings from the German Health Interview and Examination Surveys in 1997–1999 and 2008–2011

Heidemann, C., Du, Y., Paprott, R., Haftenberger, M., Rathmann, W. and Scheidt-Nave, C. (2016) ‘Temporal changes in the prevalence of diagnosed diabetes, undiagnosed diabetes and prediabetes: findings from the German Health Interview and Examination Surveys in 1997–1999 and 2008–2011’, Diabetic Medicine, 33(10), pp. 1406–1414.

Verfügbar bei: https://pubmed.ncbi.nlm.nih.gov/26498983/

Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin

Diabetes Prevention Program Research Group (2002) ‘Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin’, New England Journal of Medicine, 346(6), pp. 393–403.

Available atVerfügbar bei: https://pubmed.ncbi.nlm.nih.gov/11832527/

Cholesterinmessung

Total cholesterol as a risk factor for coronary heart disease and stroke in women compared with men: A systematic review and meta-analysis

Peters, S.A.E., Singhateh, Y., Mackay, D., Huxley, R.R. and Woodward, M. (2016) ‘Total cholesterol as a risk factor for coronary heart disease and stroke in women compared with men: A systematic review and meta-analysis’, Atherosclerosis, 248, pp. 123–131.

Verfügbar bei: https://pubmed.ncbi.nlm.nih.gov/27016614/

A prospective study of cholesterol, apolipoproteins, and the risk of myocardial infarction

Stampfer, M.J., Sacks, F.M., Salvini, S., Willett, W.C. and Hennekens, C.H. (1991) ‘A prospective study of cholesterol, apolipoproteins, and the risk of myocardial infarction’, New England Journal of Medicine, 325(6), pp. 373–381.

Verfügbar bei: https://pubmed.ncbi.nlm.nih.gov/2062328/

Lungenfunktionstest

Airway resistance and peak expiratory flow-rate in smokers and non-smokers

Woolcock, A.J. and Colman, M.H. (1963) ‘Airway resistance and peak expiratory flow-rate in smokers and non-smokers’, The Lancet, 1(7293), pp. 1237–1238. doi: 10.1016/s0140-6736(63)91866-x.

Verfügbar bei: https://pubmed.ncbi.nlm.nih.gov/14003160/

Peak expiratory flow in symptomless elderly smokers and ex-smokers

Sherrill, D.L., Camilli, A.E. and Lebowitz, M.D. (1989) ‘Peak expiratory flow in symptomless elderly smokers and ex-smokers’, Thorax, 44(5), pp. 396–402.

Available atVerfügbar bei: https://pubmed.ncbi.nlm.nih.gov/2497893/

Detecting chronic obstructive pulmonary disease using peak flow rate: cross sectional survey

Jackson, H. and Hubbard, R. (2003) ‘Detecting chronic obstructive pulmonary disease using peak flow rate: cross sectional survey’, BMJ, 327(7416), pp. 653–654. doi: 10.1136/bmj.327.7416.653.

Verfügbar bei: https://pmc.ncbi.nlm.nih.gov/articles/PMC196392/

Peak expiratory flow as a screening tool to detect airflow obstruction in a primary health care setting

Li, J., Wang, Z., Li, Y., Wang, Y., Gao, Y., Zhang, X. and Wang, X. (2012) ‘Peak expiratory flow as a screening tool to detect airflow obstruction in a primary health care setting’, Respiratory Care, 57(11), pp. 1893–1898. doi: 10.4187/respcare.01529.

Verfügbar bei: https://pubmed.ncbi.nlm.nih.gov/22409956/

Muskuloskelettale Funktionsprüfung

Development and initial cohort validation of the Arthritis Research UK Musculoskeletal Health Questionnaire (MSK-HQ) for use across musculoskeletal care pathways

Hill, J.C., Kang, S., Benedetto, E., Myers, H., Blackburn, S., Smith, S., Dunn, K.M., Foster, N.E., Hay, E.M. and van der Windt, D.A. (2016) ‘Development and initial cohort validation of the Arthritis Research UK Musculoskeletal Health Questionnaire (MSK-HQ) for use across musculoskeletal care pathways’, BMJ Open, 6(8), e012331.

Verfügbar bei: https://bmjopen.bmj.com/content/6/8/e012331

Urinanalyse

Diagnostic efficacy of urine dipstick in detecting chronic kidney disease

Kim, Y., Jeong, J.C., Kim, H., Kim, Y., Kim, S., Kim, H.J., Kim, Y. and Kim, S. (2017) ‘Diagnostic efficacy of urine dipstick in detecting chronic kidney disease’, PLoS ONE, 12(2), e0171106.

Verfügbar bei: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0171106

Trace albumin in the urine dipstick test is associated with coronary artery calcification in Korean adults

Song, J.J., Lee, K.B., Hyun, Y.Y. and Kim, H. (2018) ‘Trace albumin in the urine dipstick test is associated with coronary artery calcification in Korean adults’, Nephron, 140(2), pp. 112–119.

Verfügbar bei: https://pubmed.ncbi.nlm.nih.gov/29991020/

Psychische Gesundheit

Depression:

Accuracy of Patient Health Questionnaire-9 (PHQ-9) for screening to detect major depression: individual participant data meta-analysis

Levis, B., Benedetti, A. and Thombs, B.D. (2021) ‘Accuracy of Patient Health Questionnaire-9 (PHQ-9) for screening to detect major depression: individual participant data meta-analysis’, BMJ, 375, n2183.

Verfügbar bei: https://pubmed.ncbi.nlm.nih.gov/34610915/

The PHQ-9: Validity of a brief depression severity measure

Kroenke, K., Spitzer, R.L. and Williams, J.B.W. (2001) ‘The PHQ-9: Validity of a brief depression severity measure’, Journal of General Internal Medicine, 16(9), pp. 606–613.

Verfügbar bei: https://pubmed.ncbi.nlm.nih.gov/11556941/

Schlafqualität:

Accuracy of Patient Health Questionnaire-9 (PHQ-9) for screening to detect major depression: individual participant data meta-analysis

Burnout:

The Copenhagen Burnout Inventory: A new tool for the assessment of burnout

Kristensen, T.S., Borritz, M., Villadsen, E. and Christensen, K.B. (2005) ‘The Copenhagen Burnout Inventory: A new tool for the assessment of burnout’, Work & Stress, 19(3), pp. 192–207.

Verfügbar bei: https://doi.org/10.1080/02678370500297720

Ein klinisch validierter HealthCheck® zur frühzeitigen Erkennung von Gesundheitsrisiken