智利超重导致的非传染性疾病的未来负担:一个多州生命表建模研究
Rodrigo Fuentes1, Eduardo Nilson2,3, Leandro F M Rezende4
1Universidad de Santiago de Chile (USACH), Escuela de Ciencias de la Actividad Física, el Deporte y la Salud, Santiago, Chile.
BMC public health
|July 12, 2023
概括
降低智利的超重患病率可以预防成千上万的非传染性疾病 (NCD) 病例和死亡. 即使到2030年减少6.7%的适度,也可以避免大约25,000例非传染性疾病病例和5,000例死亡.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 预防医学 预防医学
背景情况:
- 量化了智利目前超重相关疾病的负担.
- 估计了与超重有关的非传染性疾病 (NCD) 的未来负担.
- 预测超重的流行轨迹对智利成年人非传染性疾病的影响 (2019-2030年).
结论:
- 针对减肥的预防计划可以显著影响智利未来的NCD负担.
- 量化了潜在的NCD病例和死亡,通过减少超重的流行率来避免.
- 强调在智利解决超重问题对公共卫生的重要性.
相关概念视频
Obesity
542
The Body Mass Index (BMI) is a numerical value derived from a person's weight and height, used to categorize individuals into weight ranges. It is calculated using the formula: weight in kilograms divided by height in meters squared. Obesity is a health condition characterized by excessive accumulation of adipose tissue that poses health risks, often diagnosed with a BMI ≥ 30. This excess fat storage occurs when surplus dietary calories are converted into triglycerides and stored in...
542
Stress Prevention and Stress Management Techniques IV
49
Stress often leads to unhealthy habits like smoking, excessive drinking, and overeating, which offer short-term relief but ultimately increase long-term health risks. These behaviors create a cycle that temporarily lowers stress levels but can result in severe long-term health consequences. Breaking these habits is essential to reduce the risk of chronic diseases and improve overall well-being. Three primary changes that support better health include quitting smoking, reducing alcohol intake,...
49
Prevalence and Incidence
634
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...
634
Lifestyle Factors and Health
84
Lifestyle factors play a critical role in maintaining overall health and preventing chronic diseases. Key elements, such as regular physical activity, a nutritious diet, and abstinence from smoking, can significantly enhance physical, mental, and emotional well-being while reducing the risk of several life-threatening conditions.
Benefits of Physical Activity
Physical activity, whether through structured exercise or casual activities like walking, biking, or dancing, is a cornerstone of a...
Benefits of Physical Activity
Physical activity, whether through structured exercise or casual activities like walking, biking, or dancing, is a cornerstone of a...
84
Chronic Obstructive Pulmonary Disease
1.3K
COPD is defined as a heterogeneous lung condition marked by persistent respiratory symptoms such as dyspnea, cough, and sputum production, caused by abnormalities in the airways that cause airflow obstruction.
Smoking is a primary risk factor for COPD, with over 80% of patients having a history of it. Patients typically experience progressive dyspnea or labored breathing, frequent coughing, and recurrent pulmonary infections. Many eventually succumb to respiratory failure, characterized by...
Smoking is a primary risk factor for COPD, with over 80% of patients having a history of it. Patients typically experience progressive dyspnea or labored breathing, frequent coughing, and recurrent pulmonary infections. Many eventually succumb to respiratory failure, characterized by...
1.3K
Bias in Epidemiological Studies
366
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:
366


