NCT07207603

Brief Summary

The main objective of the study is to characterize the cardiovascular risk profile of the population in the Bicocca district through the evaluation of the exposome and the assessment of traditional and less studied cardiovascular risk factors for cardiovascular disease.

Trial Health

55
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
1,000

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Jun 2024

Geographic Reach
1 country

1 active site

Status
enrolling by invitation

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

June 17, 2024

Completed
3 months until next milestone

First Submitted

Initial submission to the registry

September 20, 2024

Completed
4 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

January 31, 2025

Completed
8 months until next milestone

First Posted

Study publicly available on registry

October 6, 2025

Completed
3 months until next milestone

Study Completion

Last participant's last visit for all outcomes

December 31, 2025

Completed
Last Updated

October 6, 2025

Status Verified

October 1, 2025

Enrollment Period

8 months

First QC Date

September 20, 2024

Last Update Submit

October 2, 2025

Conditions

Keywords

Cardiovascular risk factorItalyObservational StudyEpidemiologyexposomeair pollutionblood pressurecholesterolstress

Outcome Measures

Primary Outcomes (1)

  • Exposome

    to define the prevalence of the exposome associated with increased CV risk in an urban population. The exposome includes the following domains: 1. Internal: internal biological processes such as oxidative stress, inflammation, epigenetic changes, metabolism and the internal microbiome. 2. General external: social, economic factors, the urban environment and climate factors. 3. Specific external: an individual's immediate local environment, including exposure to chemicals, diet, physical activity, tobacco and infections.

    prior index date and at baseline visit

Secondary Outcomes (2)

  • Traditional CV risk factors

    prior index date and at baseline visit

  • Non traditional risk factors

    prior index date and at baseline visit

Other Outcomes (1)

  • Prevalence of clinical conditions associated with CV risk

    prior index date and at baseline visit

Study Arms (1)

Recruited individuals

Males or females age \> 25 years living in the area close to University Milano-Bicocca (postcode 20126) and able to sign the informed consent.

Other: No intervention

Interventions

No intervention

Recruited individuals

Eligibility Criteria

Age25 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Our target population includes about 15900 residents in the 20126 postcode area with at least 25 years of age. From this population we aim to select a sample of 1000 subjects which will participate in the study.

You may qualify if:

  • Individuals living in the area close to University Milano-Bicocca (postcode 20126)

You may not qualify if:

  • Inability to sign the informed consent

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

University of Milan-Bicocca

Milan, 20126, Italy

Location

Related Publications (28)

  • Luciani M, De Maria M, Page SD, Barbaranelli C, Ausili D, Riegel B. Measuring self-care in the general adult population: development and psychometric testing of the Self-Care Inventory. BMC Public Health. 2022 Mar 28;22(1):598. doi: 10.1186/s12889-022-12913-7.

  • Chang VT, Hwang SS, Feuerman M, Kasimis BS, Thaler HT. The memorial symptom assessment scale short form (MSAS-SF). Cancer. 2000 Sep 1;89(5):1162-71. doi: 10.1002/1097-0142(20000901)89:53.0.co;2-y.

  • Cali G, Ambrosini E, Picconi L, Mehling WE, Committeri G. Investigating the relationship between interoceptive accuracy, interoceptive awareness, and emotional susceptibility. Front Psychol. 2015 Aug 24;6:1202. doi: 10.3389/fpsyg.2015.01202. eCollection 2015.

  • Schandry R. Heart beat perception and emotional experience. Psychophysiology. 1981 Jul;18(4):483-8. doi: 10.1111/j.1469-8986.1981.tb02486.x. No abstract available.

  • Kontiola A. A new electromechanical method for measuring intraocular pressure. Doc Ophthalmol. 1996-1997;93(3):265-76. doi: 10.1007/BF02569066.

  • Curcio G, Tempesta D, Scarlata S, Marzano C, Moroni F, Rossini PM, Ferrara M, De Gennaro L. Validity of the Italian version of the Pittsburgh Sleep Quality Index (PSQI). Neurol Sci. 2013 Apr;34(4):511-9. doi: 10.1007/s10072-012-1085-y. Epub 2012 Apr 13.

  • Picardi A, Adler DA, Abeni D, Chang H, Pasquini P, Rogers WH, Bungay KM. Screening for depressive disorders in patients with skin diseases: a comparison of three screeners. Acta Derm Venereol. 2005;85(5):414-9. doi: 10.1080/00015550510034966.

  • Lorini C, Lastrucci V, Mantwill S, Vettori V, Bonaccorsi G; Florence Health Literacy Research Group. Measuring health literacy in Italy: a validation study of the HLS-EU-Q16 and of the HLS-EU-Q6 in Italian language, conducted in Florence and its surroundings. Ann Ist Super Sanita. 2019 Jan-Mar;55(1):10-18. doi: 10.4415/ANN_19_01_04.

  • Steca P, Monzani D, Pierobon A, Avvenuti G, Greco A, Giardini A. Measuring dispositional optimism in patients with chronic heart failure and their healthcare providers: the validity of the Life Orientation Test-Revised. Patient Prefer Adherence. 2017 Sep 6;11:1497-1503. doi: 10.2147/PPA.S139522. eCollection 2017.

  • Poreh A, Bezdicek O, Korobkova I, Levin JB, Dines P. The Rey Auditory Verbal Learning Test forced-choice recognition task: Base-rate data and norms. Appl Neuropsychol Adult. 2016;23(3):155-61. doi: 10.1080/23279095.2015.1027343. Epub 2015 Oct 27.

  • Rekers S, Finke C. Translating spatial navigation evaluation from experimental to clinical settings: The virtual environments navigation assessment (VIENNA). Behav Res Methods. 2024 Mar;56(3):2033-2048. doi: 10.3758/s13428-023-02134-0. Epub 2023 May 11.

  • Ragland JD, Turetsky BI, Gur RC, Gunning-Dixon F, Turner T, Schroeder L, Chan R, Gur RE. Working memory for complex figures: an fMRI comparison of letter and fractal n-back tasks. Neuropsychology. 2002 Jul;16(3):370-9.

  • Morisky DE, Green LW, Levine DM. Concurrent and predictive validity of a self-reported measure of medication adherence. Med Care. 1986 Jan;24(1):67-74. doi: 10.1097/00005650-198601000-00007.

  • Adorni R, Zanatta F, D'Addario M, Atella F, Costantino E, Iaderosa C, Petarle G, Steca P. Health-Related Lifestyle Profiles in Healthy Adults: Associations with Sociodemographic Indicators, Dispositional Optimism, and Sense of Coherence. Nutrients. 2021 Oct 25;13(11):3778. doi: 10.3390/nu13113778.

  • Gnagnarella P, Draga D, Misotti AM, Sieri S, Spaggiari L, Cassano E, Baldini F, Soldati L, Maisonneuve P. Validation of a short questionnaire to record adherence to the Mediterranean diet: An Italian experience. Nutr Metab Cardiovasc Dis. 2018 Nov;28(11):1140-1147. doi: 10.1016/j.numecd.2018.06.006. Epub 2018 Jun 18.

  • Choi M, Mesa-Frias M, Nuesch E, Hargreaves J, Prieto-Merino D, Bowling A, Snith GD, Ebrahim S, Dale C, Casas JP. Social capital, mortality, cardiovascular events and cancer: a systematic review of prospective studies. Int J Epidemiol. 2014 Dec;43(6):1895-920. doi: 10.1093/ije/dyu212.

  • Parati G, Stergiou GS, Bilo G, Kollias A, Pengo M, Ochoa JE, Agarwal R, Asayama K, Asmar R, Burnier M, De La Sierra A, Giannattasio C, Gosse P, Head G, Hoshide S, Imai Y, Kario K, Li Y, Manios E, Mant J, McManus RJ, Mengden T, Mihailidou AS, Muntner P, Myers M, Niiranen T, Ntineri A, O'Brien E, Octavio JA, Ohkubo T, Omboni S, Padfield P, Palatini P, Pellegrini D, Postel-Vinay N, Ramirez AJ, Sharman JE, Shennan A, Silva E, Topouchian J, Torlasco C, Wang JG, Weber MA, Whelton PK, White WB, Mancia G; Working Group on Blood Pressure Monitoring and Cardiovascular Variability of the European Society of Hypertension. Home blood pressure monitoring: methodology, clinical relevance and practical application: a 2021 position paper by the Working Group on Blood Pressure Monitoring and Cardiovascular Variability of the European Society of Hypertension. J Hypertens. 2021 Sep 1;39(9):1742-1767. doi: 10.1097/HJH.0000000000002922.

  • Williams B, Mancia G, Spiering W, Agabiti Rosei E, Azizi M, Burnier M, Clement DL, Coca A, de Simone G, Dominiczak A, Kahan T, Mahfoud F, Redon J, Ruilope L, Zanchetti A, Kerins M, Kjeldsen SE, Kreutz R, Laurent S, Lip GYH, McManus R, Narkiewicz K, Ruschitzka F, Schmieder RE, Shlyakhto E, Tsioufis C, Aboyans V, Desormais I; Authors/Task Force Members:. 2018 ESC/ESH Guidelines for the management of arterial hypertension: The Task Force for the management of arterial hypertension of the European Society of Cardiology and the European Society of Hypertension: The Task Force for the management of arterial hypertension of the European Society of Cardiology and the European Society of Hypertension. J Hypertens. 2018 Oct;36(10):1953-2041. doi: 10.1097/HJH.0000000000001940.

  • Ikram MA, Brusselle GGO, Murad SD, van Duijn CM, Franco OH, Goedegebure A, Klaver CCW, Nijsten TEC, Peeters RP, Stricker BH, Tiemeier H, Uitterlinden AG, Vernooij MW, Hofman A. The Rotterdam Study: 2018 update on objectives, design and main results. Eur J Epidemiol. 2017 Sep;32(9):807-850. doi: 10.1007/s10654-017-0321-4. Epub 2017 Oct 24.

  • Brodaty H, Pond D, Kemp NM, Luscombe G, Harding L, Berman K, Huppert FA. The GPCOG: a new screening test for dementia designed for general practice. J Am Geriatr Soc. 2002 Mar;50(3):530-4. doi: 10.1046/j.1532-5415.2002.50122.x.

  • Galvin JE, Roe CM, Powlishta KK, Coats MA, Muich SJ, Grant E, Miller JP, Storandt M, Morris JC. The AD8: a brief informant interview to detect dementia. Neurology. 2005 Aug 23;65(4):559-64. doi: 10.1212/01.wnl.0000172958.95282.2a.

  • Guralnik JM, Ferrucci L, Pieper CF, Leveille SG, Markides KS, Ostir GV, Studenski S, Berkman LF, Wallace RB. Lower extremity function and subsequent disability: consistency across studies, predictive models, and value of gait speed alone compared with the short physical performance battery. J Gerontol A Biol Sci Med Sci. 2000 Apr;55(4):M221-31. doi: 10.1093/gerona/55.4.m221.

  • Di Castelnuovo A, Costanzo S, Persichillo M, Olivieri M, de Curtis A, Zito F, Donati MB, de Gaetano G, Iacoviello L; MOLI-SANI Project Investigators. Distribution of short and lifetime risks for cardiovascular disease in Italians. Eur J Prev Cardiol. 2012 Aug;19(4):723-30. doi: 10.1177/1741826711410820. Epub 2011 May 13.

  • Farooqi MAM, Gerstein H, Yusuf S, Leong DP. Accumulation of Deficits as a Key Risk Factor for Cardiovascular Morbidity and Mortality: A Pooled Analysis of 154 000 Individuals. J Am Heart Assoc. 2020 Feb 4;9(3):e014686. doi: 10.1161/JAHA.119.014686. Epub 2020 Jan 28.

  • Purser JL, Kuchibhatla MN, Fillenbaum GG, Harding T, Peterson ED, Alexander KP. Identifying frailty in hospitalized older adults with significant coronary artery disease. J Am Geriatr Soc. 2006 Nov;54(11):1674-81. doi: 10.1111/j.1532-5415.2006.00914.x.

  • Iwasaki A, Pillai PS. Innate immunity to influenza virus infection. Nat Rev Immunol. 2014 May;14(5):315-28. doi: 10.1038/nri3665.

  • Munzel T, Sorensen M, Hahad O, Nieuwenhuijsen M, Daiber A. The contribution of the exposome to the burden of cardiovascular disease. Nat Rev Cardiol. 2023 Oct;20(10):651-669. doi: 10.1038/s41569-023-00873-3. Epub 2023 May 10.

  • Visseren FLJ, Mach F, Smulders YM, Carballo D, Koskinas KC, Back M, Benetos A, Biffi A, Boavida JM, Capodanno D, Cosyns B, Crawford C, Davos CH, Desormais I, Di Angelantonio E, Franco OH, Halvorsen S, Hobbs FDR, Hollander M, Jankowska EA, Michal M, Sacco S, Sattar N, Tokgozoglu L, Tonstad S, Tsioufis KP, van Dis I, van Gelder IC, Wanner C, Williams B; ESC National Cardiac Societies; ESC Scientific Document Group. 2021 ESC Guidelines on cardiovascular disease prevention in clinical practice. Eur Heart J. 2021 Sep 7;42(34):3227-3337. doi: 10.1093/eurheartj/ehab484. No abstract available.

Related Links

Biospecimen

Retention: SAMPLES WITHOUT DNA

Bloods will be taken by a dedicated Research Nurse and sent for analysis and storage. In detail 5 vacutainers (5 ml each) will be taken for each subject and the following analyses will be performed: glucose level, total cholesterol, HDL, triglycerides, LDLc, ApoB, Lp(a), HbA1c, uric acid, hsPCR. Urine samples will be also collected for urine analysis. Furthermore, two 80 mg stool aliquots will be stored allowing the possibility of evaluating the gut microbiome composition.

MeSH Terms

Conditions

Hypertension

Condition Hierarchy (Ancestors)

Vascular DiseasesCardiovascular Diseases

Study Officials

  • Martino F Pengo, Medicine

    University of Milan-Bicocca

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
CROSS SECTIONAL
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

September 20, 2024

First Posted

October 6, 2025

Study Start

June 17, 2024

Primary Completion

January 31, 2025

Study Completion

December 31, 2025

Last Updated

October 6, 2025

Record last verified: 2025-10

Locations