Longitudinal mixed method investigation of social networks and affective states as determinants of smoking behavior among cancer patient

社会网络和情感状态作为癌症患者吸烟行为决定因素的纵向混合方法调查

• 批准号: 10513670
• 负责人: Hermine Poghosyan
• 金额: $ 63.81万
• 依托单位: YALE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-07-13 至 2026-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10513670
• 关键词: Address; Adult; Affect; Affective; Anxiety; Attention; Behavior; Cancer Center; Cancer Patient; Caring; Cessation of life; Chronic; Clinical; Complex; Dana-Farber Cancer Institute; Data; Diagnosis; Disease; Emotional; Emotions; Ensure; Family; Family member; Feeling; Friends; Friendships; Fright; HIV; Health; Human; Individual; Interview; Investigation; Knowledge; Longitudinal prospective study; Malignant Neoplasms; Mental Depression; Methods; Network-based; Newly Diagnosed; Nicotine Dependence; Obesity; Outcome; Patients; Persons; Quality of life; Relapse; Research; Risk; Science; Smoke; Smoker; Smoking; Smoking Behavior; Smoking Cessation Intervention; Smoking History; Smoking Status; Social Network; Spouses; Structure; System; Testing; Time; Tobacco; Tobacco use; Tobacco-Related Carcinoma; Treatment Effectiveness; United States; base; behavior influence; cancer diagnosis; cancer recurrence; cancer type; design; emotional distress; emotional shock; experience; former smoker; improved; individual patient; innovation; longitudinal design; member; negative affect; non-smoker; novel; prospective; recruit; sex; smoking cessation; social

PROJECT SUMMARY Tobacco use causes at least 12 types of cancer and is responsible for 30% of all cancer deaths in the United States. Quitting smoking is the single most effective approach to protect cancer patients from smoking complications, extend survival, and ensure best health outcomes. Despite the adverse health effects, 10-64% of cancer patients, depending on cancer type, continue to smoke. Cancer diagnosis is emotionally shocking experience and patients often use tobacco to regulate negative emotions. Smoking rates are the highest among patients with tobacco-related cancers who have a long smoking history, high nicotine addiction and difficulty with quitting smoking. Even after quitting they relapse as discontinuation of tobacco leads to negative emotions, which in turn impacts smoking behavior. Smoking behavior is embedded within individual's affective niche and social networks and is influenced by the behaviors of individuals in the network. Yet, to date, no attention has been paid to how social networks and affective states influence smoking behavior of patients with tobacco-related cancer who have high rates of smoking, nicotine dependency, negative emotions and struggle with quitting smoking, nor how patients' cancer diagnosis affects smoking behavior of their network members. Our mixed methods study will fill this gap in the evidence. We will achieve these four specific aims: Aim 1. Determine tobacco-related cancer patients' affective states, social network structures (e.g., connected to other smokers) and functions (e.g., interaction type—emotional support) and identify clusters of current-, former- and non-smokers within those networks. Aim 2. Quantify the influence of tobacco-related cancer patients' affective states, social network structures and functions, and network members' attributes (e.g., sex, smoking behavior, etc.) on patients' smoking behavior. Aim 3. Assess the impact of a patient's tobacco-related cancer diagnosis on the smoking behavior of the patient's network members (i.e., five to ten individuals the patient identifies as close social contacts). Aim 4. Explore the facilitators and barriers (e.g., affective states, encouragement to quit smoking) to smoking cessation in patients with tobacco-related cancer and their significant network member dyads. Using a prospective longitudinal design with an egocentric social network, we will collect data from newly diagnosed patients with tobacco-related cancer from a world-renowned cancer center, Dana-Farber Cancer Institute. Data from 429 patients will be collected at baseline (within 3 months of diagnosis) and then 3- , 6-, and 12-months later. We will also conduct semi-structured dyadic relationship-based qualitative interviews with a cancer patient and a self-identified significant network member to explore the depth and complexity of smoking behaviors. Our study is crucial as it will address the critical importance of affective states and social networks in smoking behavior and findings will lay the groundwork for developing and testing novel, tailored, social network-based smoking cessation interventions to better promote smoking cessation among tobacco- related cancer patients and their social network members—families, friends, and others.

项目摘要 吸烟至少会导致12种癌症，占美国所有癌症死亡人数的30%。 States.戒烟是保护癌症患者远离吸烟的最有效方法 并发症，延长生存期，并确保最佳的健康结果。尽管有不利的健康影响，10-64% 的癌症患者，根据癌症类型，继续吸烟。癌症诊断在情感上令人震惊 经验和患者经常使用烟草来调节负面情绪。吸烟率最高 在吸烟史长、尼古丁成瘾程度高、 戒烟的困难。即使在戒烟后，他们也会复发，因为停止吸烟会导致阴性 情绪，这反过来又会影响吸烟行为。吸烟行为与个体的情感 生态位和社交网络，并受到网络中个人行为的影响。然而，到目前为止，没有 社交网络和情感状态如何影响吸烟患者的吸烟行为已经引起了人们的注意。 烟草相关的癌症谁有吸烟率高，尼古丁依赖，负面情绪和斗争 戒烟，也没有病人的癌症诊断如何影响他们的网络成员的吸烟行为。 我们的混合方法研究将填补证据中的这一空白。我们将实现这四个具体目标：目标1。 确定烟草相关癌症患者的情感状态、社会网络结构（例如，连接到其他 吸烟者）和功能（例如，互动类型-情感支持），并确定集群的当前，以前和 在这些网络中的非吸烟者。目标二。烟草相关癌症患者情感影响的量化研究 状态、社交网络结构和功能，以及网络成员的属性（例如，性，吸烟行为， 等等）。病人的吸烟行为。目标3。评估患者烟草相关癌症诊断的影响 关于患者的网络成员的吸烟行为（即，五到十个病人 密切的社交联系）。目标4。探索促进因素和障碍（例如，情感状态，鼓励戒烟 吸烟）对戒烟的影响 二分体使用前瞻性纵向设计与自我中心的社会网络，我们将收集数据， 来自世界知名癌症中心达纳-法伯的新诊断的烟草相关癌症患者 癌症研究所.将在基线（诊断后3个月内）收集429例患者的数据，然后在3- 、6个月和12个月后。我们还将进行半结构化的基于二元关系的定性访谈 与一位癌症患者和一位自我认同的重要网络成员一起，探索 吸烟行为。我们的研究是至关重要的，因为它将解决情感状态和社会的至关重要性。 网络在吸烟行为和研究结果将奠定基础，开发和测试新的，定制的， 基于社会网络的戒烟干预措施，以更好地促进烟草中的戒烟， 相关的癌症患者和他们的社会网络成员-家庭，朋友和其他人。