The Pamela study: main findings and perspectives.
Michele Bombelli1, Elena Toso, Maria Peronio
1Clinica Medica, Department of Health Sciences, University of Milano-Bicocca, S. Gerardo Hospital, via Pergolesi, 20052, Monza, Milan, Italy. michele.bombelli@unimib.it
Current Hypertension Reports
|April 24, 2013
Summary
The PAMELA study found that home and ambulatory blood pressure measurements predict cardiovascular events. Metabolic factors and left ventricular mass are also crucial for assessing cardiovascular risk.
Area of Science:
- Cardiology
- Epidemiology
- Public Health
Background:
- The PAMELA (Pressioni Arteriose Monitorate E Loro Associazioni) study investigated blood pressure normality.
- It involved 3,200 randomly selected individuals aged 25-74 in Monza, Italy.
Purpose of the Study:
- To assess the prognostic value of various blood pressure measurements.
- To explore relationships between metabolic variables and blood pressure.
- To determine the clinical relevance of left ventricular mass.
Main Methods:
- Clinical, home, and ambulatory blood pressure measurements were taken.
- Echocardiography assessed cardiac structure and function.
- Laboratory tests (glucose, lipids) and personal/family histories were collected.
- A 12-year follow-up for cardiovascular events and 16-year for fatal events was conducted.
Main Results:
- Home and ambulatory blood pressure measurements demonstrated prognostic value for cardiovascular events.
- Significant relationships were identified between metabolic variables (glucose, lipids) and blood pressure levels.
- Left ventricular mass alterations were clinically relevant and prognostically important.
Conclusions:
- Home and ambulatory blood pressure monitoring are valuable tools for cardiovascular risk assessment.
- Metabolic health and cardiac structure, specifically left ventricular mass, significantly influence cardiovascular outcomes.
- The PAMELA study provides crucial insights into hypertension, metabolic syndrome, and cardiovascular disease prediction.
Related Concept Videos
Regression Toward the Mean
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when researchers try to extrapolate results...
Primary Motives: Sleep, Sex, and Pain Avoidance
Primary motives such as sleep, sex, and pain avoidance are crucial drivers of behavior in humans and animals. These motives ensure survival, reproductive success, and overall well-being by prompting actions that meet essential bodily needs.
Sleep is a fundamental physiological drive that fosters a state of restfulness crucial for several bodily functions. It facilitates body restoration, the process by which the body repairs, rejuvenates, and maintains itself during sleep, including memory...
Sleep is a fundamental physiological drive that fosters a state of restfulness crucial for several bodily functions. It facilitates body restoration, the process by which the body repairs, rejuvenates, and maintains itself during sleep, including memory...
Case Studies
There are many research methods available to psychologists in their efforts to understand, describe, and explain behavior and the cognitive and biological processes that underlie it.
Longitudinal Research
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
Cross-Sectional Research
In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...
Longitudinal Studies
Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...

