Video Experimental Relacionado

Updated: Jan 7, 2026

Multidisciplinary Approach to Obesity Management: A Case Report

Multidisciplinary Approach to Obesity Management: A Case Report

Published on: May 30, 2025

Variación en los consejos de los médicos para modificar los comportamientos de riesgo para la salud: un estudio

Rebecca D Sullenger¹, Benjamin D Sommers²

¹Duke University School of Medicine, 8 Searle Center Dr, Durham, NC 27710, USA; Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue Boston, MA 02115, USA.

American journal of preventive medicine

|December 28, 2025

Abstracto

Introduction:

Clinician advice to modify health behaviors can vary by patient race/ethnicity and sex, though prior studies are mixed and show variation over time. Research examining the role of insurance type is limited.

Methods:

The 2022 National Health Information Survey (NHIS) was analyzed in 2024 to estimate survey-weighted proportions of receiving clinician advice and associations with demographic factors among three at-risk groups: 1) adults who smoke cigarettes, 2) adults who engage in heavy drinking, and 3) adults with diabetes, hypertension, and/or obesity, who are insufficiently active.

Results:

In each relevant population, 47.5% received advice to quit smoking, 6.8% to decrease drinking, and 35.7% to increase physical activity. The odds of receiving advice to quit smoking were lower among Non-Hispanic (NH) Black (adjusted odds ratio (aOR) 0.68 [95%CI, 0.53-0.87]) and Hispanic adults (aOR 0.46 [95%CI, 0.30-0.69]) relative to NH White adults, and adults with no insurance (aOR 0.36 [95%CI, 0.24-0.56]) and private insurance (aOR 0.55, [95%CI, 0.39-0.77]) compared to Medicare. Men had higher odds (aOR: 2.36 [95%CI, 1.84-3.02]) of being advised to decrease drinking. Hispanic adults (aOR 1.27 [95%CI, 1.05-1.54]) had higher odds of receiving advice to increase physical activity; uninsured adults (aOR 0.51 [95%CI, 0.35-0.73]), men (aOR 0.85 [95%CI, 0.76-0.96]), and adults over 64 had lower odds. Adults aged 18-34 were the least likely to receive smoking or alcohol counseling.

Conclusion:

Many at-risk adults do not receive clinician advice to modify relevant health behaviors. Counseling rates vary by patient demographic factors, highlighting opportunities to improve health equity in preventive care.

Palabras clave:

consejos de los médicos disparidades cambio de comportamiento de salud

Más Videos Relacionados

Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity

Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity

Published on: March 7, 2019

Influence of Emotional Factors on the Efficacy of Acupuncture Treatment for Overweight Complicated with Hyperlipidemia: A Retrospective Cohort Study

Influence of Emotional Factors on the Efficacy of Acupuncture Treatment for Overweight Complicated with Hyperlipidemia: A Retrospective Cohort Study

Published on: November 21, 2025

Videos de Conceptos Relacionados

Bias in Epidemiological Studies

Bias in Epidemiological Studies

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:

Stress Prevention and Stress Management Techniques VI

Stress Prevention and Stress Management Techniques VI

Adopting a healthier lifestyle often requires overcoming significant challenges, but leveraging psychological, social, and cultural resources can facilitate meaningful change. Effective self-change hinges on understanding and applying key tools such as motivation and goal setting, which help sustain efforts toward long-term health benefits.
Motivation and Self-Determination
Motivation, the driving force behind behavior, plays a pivotal role at every stage of the change process. The research...

Atherosclerosis III: Management

Atherosclerosis III: Management

Management of atherosclerosis involves an integrated strategy encompassing pharmacological treatment, surgical interventions, lifestyle changes, and nutrition therapy to address the multifactorial nature of the disease.Pharmacological TherapyA cornerstone of atherosclerosis management is the use of pharmacological agents. Statins, such as atorvastatin, are pivotal in inhibiting HMG-CoA reductase, an enzyme that catalyzes an initial step in cholesterol synthesis in the liver. This reduction in...

Stress Prevention and Stress Management Techniques IV

Stress Prevention and Stress Management Techniques IV

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,...

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...

Regression Toward the Mean

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...