Predictors of smoking relapse after percutaneous coronary intervention in Chinese patients

Zhang, Tingyu; Wang, Lizi; Xu, Zhenzhen; Zhang, Qiongxiao; Ye, Yawen

doi:10.1111/jocn.14050

Cited by 3 publications

(2 citation statements)

References 35 publications

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“…The SSRS has 10 items and the total score ranges from 12 to 66, with higher scores indicating better social support. Zhang used this scale for patients with CHD, and the Cronbach’s α coefficient of this scale was 0.84 [ 30 ], which was 0.82 in this study.…”

Section: Methodsmentioning

confidence: 99%

Factors influencing return to work 3 months after percutaneous coronary intervention in young and middle-aged patients with coronary heart disease: A single-center, cross-sectional study

Zhou

et al. 2023

PLoS ONE

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Background Today, patients with coronary heart disease (CHD) are becoming younger and younger, and after percutaneous coronary intervention (PCI), most patients want to resume their occupations. The return to work of patients with CHD post PCI in China, however, has received little research attention. So, the goal of this study was to investigate the variables impacting the return to work following PCI in young and middle-aged patients with CHD in Wuxi and to offer a reference basis for the development of targeted interventions. Methods This study was executed at the Affiliated Hospital of Jiangnan University. We selected 280 young and middle-aged patients who underwent PCI for CHD as the study subjects and gathered general data about them while they were hospitalized. At 3 months after PCI, we surveyed the subjects with the return to work self-efficacy questionnaire, the Chinese version of the brief fatigue inventory, and the social support rating scale, and obtained information about their return to work. The factors affecting patients’ returning to work were analyzed using binary logistic regression. Results The final 255 cases were included in the study, of which 155 (60.8%) were successfully returned to work. Binary logistic regression showed that women (OR = 0.379, 95%CI:0.169,0.851), ejection fraction ≥50% (OR = 2.053, 95%CI:1.085,3.885), the brain-based job types (OR = 2.902, 95%CI:1.361,6.190), the kind of employment requiring both mental and physical capacity (OR = 2.867, 95%CI:1.224,6.715), moderate fatigue (OR = 6.023, 95%:1.596,22.7251), mild fatigue (OR = 4.035, 95%:1.104,14.751), return to work efficacy (OR = 1.839, 95%:1.140,3.144), and social support (OR = 1.060, 95%:1.003,1.121) were independent influences on patients’ return to work at 3 months after PCI (All P<0.05). Conclusion In order to help patient return to work as soon as possible, healthcare professionals should focus on those who are female, have worked mainly in physical activities, have low return-to-work self-efficacy, have severe fatigue, have low social support, and have poor ejection fraction.

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Section: Methodsmentioning

confidence: 99%

Factors influencing return to work 3 months after percutaneous coronary intervention in young and middle-aged patients with coronary heart disease: A single-center, cross-sectional study

Zhou

et al. 2023

PLoS ONE

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“…In participants maintaining smoking abstinence for a month followed by behavioral and pharmacological therapy, relapse rates at 1-year follow up were higher among those with greater nicotine dependence [ 8 ] (measured with FTND). FTND also predicted the success of abstinence imposed by hospitalizations for cardiac problems [ 9 , 10 ] or pregnancy [ 11 ]. These findings suggest that nicotine dependence may be a tangible therapeutic metric and target for determining success in reduction of cigarette smoking or abstinence.…”

Section: Introductionmentioning

confidence: 99%

Nicotine dependence and insula subregions: functional connectivity and cue-induced activation

Ghahremani

Pochon

Diaz

et al. 2023

Neuropsychopharmacol.

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Nicotine dependence is a major predictor of relapse in people with Tobacco Use Disorder (TUD). Accordingly, therapies that reduce nicotine dependence may promote sustained abstinence from smoking. The insular cortex has been identified as a promising target in brain-based therapies for TUD, and has three major sub-regions (ventral anterior, dorsal anterior, and posterior) that serve distinct functional networks. How these subregions and associated networks contribute to nicotine dependence is not well understood, and therefore was the focus of this study. Sixty individuals (28 women; 18–45 years old), who smoked cigarettes daily, rated their level of nicotine dependence (on the Fagerström Test for Nicotine Dependence) and, after abstaining from smoking overnight (~12 h), underwent functional magnetic resonance imaging (fMRI) in a resting state. A subset of these participants (N = 48) also completing a cue-induced craving task during fMRI. Correlations between nicotine dependence and resting-state functional connectivity (RSFC) and cue-induced activation of the major insular sub-regions were evaluated. Nicotine dependence was negatively correlated with connectivity of the left and right dorsal, and left ventral anterior insula with regions within the superior parietal lobule (SPL), including the left precuneus. No relationship between posterior insula connectivity and nicotine dependence was found. Cue-induced activation in the left dorsal anterior insula was positively associated with nicotine dependence and negatively associated with RSFC of the same region with SPL, suggesting that craving-related responsivity in this subregion was greater among participants who were more dependent. These results may inform therapeutic approaches, such as brain stimulation, which may elicit differential clinical outcomes (e.g., dependence, craving) depending on the insular subnetwork that is targeted.

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Fagerstrom score predicts smoking status six months after hospitalization for acute myocardial infarction: a prospective study

Ikonomidis

Thymis

Kourea

et al. 2022

Hellenic Journal of Cardiology

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Predictors of smoking relapse after percutaneous coronary intervention in Chinese patients

Abstract: This study may prompt the healthcare providers to focus on the issue of smoking relapse and provide some instructions for identification of the patients with a high-risk of relapse after percutaneous coronary intervention.

Cited by 3 publications

References 35 publications

Factors influencing return to work 3 months after percutaneous coronary intervention in young and middle-aged patients with coronary heart disease: A single-center, cross-sectional study

Factors influencing return to work 3 months after percutaneous coronary intervention in young and middle-aged patients with coronary heart disease: A single-center, cross-sectional study

Nicotine dependence and insula subregions: functional connectivity and cue-induced activation

Fagerstrom score predicts smoking status six months after hospitalization for acute myocardial infarction: a prospective study

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