Related Experiment Video
Updated: Jan 3, 2026
06:48
Breakfast Habits among Schoolchildren in the City of Uruguaiana, Brazil
Published on: July 29, 2020
5.0K
Multimorbidity and complex multimorbidity in Brazilian rural workers
Glenda Blaser Petarli1, Monica Cattafesta1, Monike Moreto Sant'Anna2
1Postgraduate Program in Collective Health, Health Sciences Center, Federal University of Espírito Santo, Vitória, Espírito Santo, Brazil.
Plos One
|November 20, 2019
Summary
A high prevalence of multimorbidity was found in rural farmers, linked to age, pesticide exposure, and self-assessed health. These findings highlight the need for targeted public health interventions for this vulnerable population.
Area of Science:
- Epidemiology
- Occupational Health
- Public Health
Background:
- Multimorbidity, the presence of multiple chronic diseases, poses a significant health challenge, particularly in occupational groups.
- Rural workers, such as farmers, face unique exposures and lifestyle factors that may influence their health outcomes.
- Understanding the prevalence and risk factors for multimorbidity in farmers is crucial for developing effective health strategies.
Purpose of the Study:
- To estimate the prevalence of multimorbidity and complex multimorbidity among farmers.
- To investigate the association between multimorbidity and sociodemographic characteristics, pesticide exposure, lifestyle, and clinical condition in this population.
- To identify risk factors contributing to the development of multiple chronic diseases in agricultural workers.
Main Methods:
- A cross-sectional epidemiological study was conducted with 806 farmers in Espírito Santo, Brazil.
- Multimorbidity was defined as two or more chronic diseases; complex multimorbidity as three or more conditions across three systems.
- Data were collected via questionnaire, and binary logistic regression was used to identify risk factors.
Main Results:
- The prevalence of multimorbidity was 41.5%, and complex multimorbidity was 16.7%.
- Key risk factors included being 40 years or older, a history of pesticide poisoning, high waist circumference, and poor self-assessed health.
- These associations were consistent for both multimorbidity and complex multimorbidity.
Conclusions:
- A high prevalence of multimorbidity and complex multimorbidity exists among farmers.
- Increased age, abdominal obesity, pesticide poisoning history, and poor health self-assessment are significant associated factors.
- Public health policies are essential for the prevention, control, and treatment of multimorbidity in this occupational group.
Related Concept Videos
01:18Factors Affecting Illness
4.9K
When a person's physical, emotional, intellectual, social development or spiritual functioning is compromised, this deviation from a healthy normal state is called illness. Illness creates stress that in turn harms individuals. Irritation, anger, denial, hopelessness, and fear are behavioral and emotional changes an individual experiences in the phases of illness. A variety of factors influence a person's health and well-being.
For instance, risk factors are connected to illness,...
For instance, risk factors are connected to illness,...
4.9K
01:29Bias in Epidemiological Studies
1.2K
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
1.2K
01:08Prevalence and Incidence
1.4K
In statistical epidemiology and health sciences, two essential metrics—prevalence and incidence—are fundamental for understanding disease dynamics within a population. These measures enable public health officials, epidemiologists, and researchers to assess the burden of diseases, allocate resources effectively, and design impactful public health policies and interventions.
Prevalence indicates the proportion of individuals in a population who have a specific disease or health...
Prevalence indicates the proportion of individuals in a population who have a specific disease or health...
1.4K
01:27Confounding in Epidemiological Studies
540
Confounding in statistical epidemiology represents a pivotal challenge, referring to the distortion in the perceived relationship between an exposure and an outcome due to the presence of a third variable, known as a confounder. This variable is associated with both the exposure and the outcome but is not a direct link in their causal chain. Its presence can lead to erroneous interpretations of the exposure's effect, either exaggerating or underestimating the true association. This...
540
01:26Principles of Disease Surveillance
427
Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
427
01:15Methods of Documentation VI: Case Management Model
824
The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic...
For example, a patient with a chronic...
824