[Telephone-based smoking cessation. Predictors of success]
José María Carreras Castellet1, Belén Maldonado Aróstegui, Mónica Quesada Laborda
1Servicio de Neumología, Hospital Carlos III, Madrid, España. jcarreras.hciii@salud.madrid.org
Medicina Clinica
|June 24, 2011
Summary
Successful smoking cessation via telephone support is predicted by lower nicotine dependence, absence of psychiatric disorders, and strong social support. These factors improve quit rates in telephone-based cessation programs.
Area of Science:
- Public Health
- Behavioral Science
- Clinical Medicine
Background:
- Smoking cessation programs aim to reduce tobacco use.
- Telephone-based interventions offer accessible support for smokers.
- Identifying predictors of success is crucial for optimizing cessation strategies.
Purpose of the Study:
- To determine factors predicting successful outcomes in a telephone smoking cessation program.
- To analyze sociodemographic, dependence, and comorbidity variables related to sustained abstinence.
Main Methods:
- Observational study conducted in a clinical setting.
- A 3-month telephone-based smoking cessation program with 6-month follow-up.
- Analysis of sociodemographic data, nicotine dependence (Fagerström test), psychiatric comorbidity, and social support.
Main Results:
- The study included 743 smokers (43% male, 57% female; mean age 41.9 years).
- Continuous abstinence at 24 weeks was achieved by 37.3% of participants.
- Predictors of success included no current psychiatric diagnosis, higher social support, and lower nicotine dependence (earlier first cigarette).
Conclusions:
- Telephone smoking cessation program outcomes are significantly influenced by nicotine dependence levels.
- The absence of current psychiatric disorders is a positive predictor of successful quitting.
- Social support plays a vital role in achieving sustained abstinence from smoking.
Related Concept Videos
01:25Statistical Methods for Analyzing Epidemiological Data
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
01:17Drug Dependence
Medications are typically administered to achieve therapeutic effects. Some drugs can modify an individual's mood and perception, frequently resulting in various enjoyable experiences. However, this can result in drug dependency, a condition marked by continuous drug use despite potential negative consequences. Drug dependency primarily falls into two categories: psychological and physical dependence. Psychological dependence occurs when the pleasurable feelings induced by the drug...
01:27Chronic Obstructive Pulmonary Disease-IV: Assessement and Diagnostic Studies
Assessing and diagnosing Chronic Obstructive Pulmonary Disease (COPD) involves a detailed approach that includes a comprehensive review of medical history, physical examination, and a variety of diagnostic tests. This thorough evaluation is essential to ensure an accurate diagnosis and guide effective management strategies.
Medical History
Medical History
01:28Criteria for Causality: Bradford Hill Criteria - II
The Bradford Hill criteria serve as guidelines for establishing causative links in epidemiological research. Beyond Strength, Consistency, Specificity, and Temporality, key criteria also include Biological Gradient, Plausibility, Coherence, Experiment, and Analogy. These principles assist scientists in assessing the likelihood of causation in complex biological contexts. Below is a summary of these concepts: