The structural equation model on self-efficacy during post-op rehabilitation among non-small cell lung cancer patients

Huang, Fang; Yang, Qing; Zhang, Juan; Han, Xuan; Zhang, Jingping

doi:10.1371/journal.pone.0204213

Cited by 11 publications

(8 citation statements)

References 31 publications

(31 reference statements)

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“…Social support has previously been shown to predict posttraumatic growth (McDonough et al, 2014), and our results verified that social support had positive direct and indirect effects on posttraumatic growth through multiple mediations. The direct relationship between social support and posttraumatic growth has been previously reported in studies of Chinese lung cancer patients (Huang et al, 2018). Recent findings of a Chinese American breast cancer survivor study suggested that social support may facilitate PTG through direct and indirect effect, which is consist with our findings (Yeung & Lu, 2018).…”

Section: Discussionsupporting

confidence: 56%

Effects of psychosocial factors on posttraumatic growth among lung cancer patients: A structural equation model analysis

Zhang

Wang

et al. 2021

Eur J Cancer Care

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Objective The purpose of this study was to investigate how locus of control, coping strategies, emotion regulation strategies and social support affect posttraumatic growth. Methods A cross‐sectional study design was adopted. A convenience sample of 540 patients with lung cancer was recruited from November 2016 to July 2017 at two tertiary grade A hospitals in China. The participants completed a series of questionnaires. Structural equation modelling was used to explore the effects of psychosocial factors on posttraumatic growth. Results Social support had a direct positive effect on posttraumatic growth (β = 0.318, SE = 0.071, BC 95% CI = 0.252/0.390), and it also had indirect effects on posttraumatic growth (β = 0.112, SE = 0.023, BC 95%CI = 0.088/0.135) through mediating psychological factors. Coping strategies and the cognitive reappraisal emotion regulation strategy were the main mediating variables, explaining approximately 73.1% of the indirect effect between social support and posttraumatic growth. Conclusions Our study suggests that Chinese lung cancer survivors can show relatively high posttraumatic growth. There are many mediating paths between social support and posttraumatic growth. These results may help healthcare professionals to identify the psychosocial factors that may benefit lung cancer patients and develop interventions to promote posttraumatic growth.

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Section: Discussionsupporting

confidence: 56%

Effects of psychosocial factors on posttraumatic growth among lung cancer patients: A structural equation model analysis

Zhang

Wang

et al. 2021

Eur J Cancer Care

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“…Although social support did not differ between SL and L patients at baseline, more perceived social support was a significant factor for all QoL measures used in this report. The literature indicates that social support as well as psychosocial and behavioral supportive interventions can have positive impact on post-surgical QoL (31,32). Thus, future research should consider whether social support could potentially be an effect modifier of the impact of extent of surgery so that the impact on QoL of more invasive surgery could be attenuated by increased social support.…”

Section: Discussionmentioning

confidence: 99%

Change in quality of life of stage IA lung cancer patients after sublobar resection and lobectomy

et al. 2020

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Background: Few studies have examined the differential impact of sublobar resection (SL) and lobectomy (L) on quality of life (QoL) during the first postoperative year. Methods:We used a prospective cohort of Stage IA lung cancer patients undergoing video-assisted thoracoscopic surgery (VATS) from the Initiative for Early Lung Cancer Research on Treatment. QoL was measured before surgery, and within 4, 6, and 12 months post-surgery using three validated instruments: SF-12 [physical (PCS) and mental health (MCS)], FACT-LCS (lung-cancer-symptoms), and the PHQ-4 (anxiety and depression subscales). Locally weighted smoothing curve (LOWESS) was fitted to identify the best interval knot for the change in the QoL trend post-surgery. After adjusting for demographic and clinical variables, an adjusted piecewise linear mixed effects model was developed to estimate differences in baseline and 12-month scores, and rates of change for each QoL measure. Results: SL resection was performed in 127 (63.2%) and L in 74 (36.8%) patients. LOWESS plots suggested that the shift of QoL (interval knot) was at 2 months post-surgery. Decreases in PCS scores were less severe for SL than L patients 2 months post-surgery (−0.18 vs. −2.30, P=0.02); while subsequent improvements were observed for both groups (SL: +0.

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“…12 Social support has been proven to have a positive impact on the health, mental and cognitive wellbeing and quality of life of the patient and his/her caregiver. [13][14][15] In addition, social support is a significant factor in protecting against negative mental states, reducing unpredictable behaviour and mortality. [16][17][18][19][20] Social support influences quality of life through two psychological mechanisms: behavioural processes (eg prohealth behaviour, adherence) and psychological processes (stress appraisal).…”

Section: Social Supportmentioning

confidence: 99%

“… 12 Social support has been proven to have a positive impact on the health, mental and cognitive well-being and quality of life of the patient and his/her caregiver. 13–15 In addition, social support is a significant factor in protecting against negative mental states, reducing unpredictable behaviour and mortality. 16–20 …”

Section: Introductionmentioning

confidence: 99%

Improving Social Support to Increase QoL in Lung Cancer Patients

Hofman¹,

Zajdel²,

Klekowski³

et al. 2021

CMAR

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Lung cancer is the most common cause of cancer deaths in the world. According to the World Health Organization, over 2 million new lung cancer cases were reported worldwide in 2018, and there were 1.76 million deaths from the disease. Due to its non-specific symptoms, the disease is usually detected at an advanced stage, which gives few treatment options and a short survival rate after diagnosis. That is why improving QoL in the last months of a patient’s life is enormously important. The purpose of this study was to analyse original papers in order to determine whether an increase in social support is important in improving QoL for lung cancer patients. Both the direct influence of social support on QoL and indirect influences such as stigma or depression, etc. were taken into consideration. We conducted a review of 22 papers published in English in the period 2005–2020, which were selected using the following keywords: lung cancer, social support, quality of life. Evidence was found for the connections between the improvement of social support and an increase in the QoL of lung cancer patients. It is crucial, and worth whatever effort is required, to increase social support for lung cancer patients, as it is one of the most important factors in improving QoL. According to the studies, a good QoL and minimalised symptoms of the disease are much more important for lung cancer patients than the length of their life.

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The structural equation model on self-efficacy during post-op rehabilitation among non-small cell lung cancer patients

Cited by 11 publications

References 31 publications

Effects of psychosocial factors on posttraumatic growth among lung cancer patients: A structural equation model analysis

Effects of psychosocial factors on posttraumatic growth among lung cancer patients: A structural equation model analysis

Change in quality of life of stage IA lung cancer patients after sublobar resection and lobectomy

Improving Social Support to Increase QoL in Lung Cancer Patients

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