scholarly journals Extended parallel process model (EPPM) in evaluating lung Cancer risk perception among older smokers

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Fatemeh Zarghami ◽  
Hamid Allahverdipour ◽  
Mohammad Asghari Jafarabadi

Abstract Background There is a lack of scientific literature on the application of fear appeals theories to evaluate lung cancer risk perception among smokers. The aim of the present study is to apply the Extended Parallel Process Model (EPPM) to discover the perception of the smokers about their lifetime risk of developing lung cancer (perceived susceptibility), their perception of lung cancer survival (perceived severity), response efficacy, self-efficacy, and readiness to quit. Methods In this cross-sectional study, 215 eligible smokers (aged 45 years and over who have smoked at least 1 pack per day in the last 5 years) were recruited. The data collection tool was designed using validate self-report questionnaires and it was contained items on the perceived risk of a smoker contracting lung cancer and perceived lung cancer survival rate. It also had questions to measure the main constructs of the EPPM and Readiness to quit (“Low_Readiness”, and “High_Readiness”). To test how the data support conceptual EPPM to data, Generalized Structural Equation Modeling (GSEM) was used. Results Findings showed a significant relationship between Perceived_Susceptibility and Perceived_Response Efficacy; (B = 1.16, P < 0.001); between Perceived_Susceptibility and Perceived_Self Efficacy, (B = -0.93, P < 0.001), Perceived_Severity, and Perceived_Response Efficacy (B = 1.07, P < 0.001). There was also a significant relationship between Perceived_Threat and Perceived_Response Efficacy; between Perceived_Threat and Perceived_Self Efficacy. The relationship between High_Readiness and Perceived_Self Efficacy, and between High_Readiness and Perceived_Severity also were significant. However, the relationships between High_Readiness and Perceived_Threat were not significant (P > 0.05). Conclusion Perceived_threat and Perceived_efficacy were important for smokers with low readiness to quit, while Perceived_efficacy was most important for smokers with high readiness to quit. These findings could be used in promoting lung cancer awareness and designing smoking cessation programs based on smokers’ stages of change.

2021 ◽  
Vol In Press (In Press) ◽  
Author(s):  
Fatemeh Zarghami ◽  
Hamid Allahverdipour ◽  
Mohammad Asghari Jafarabadi

Background: Lung cancer is one of the deadliest cancers around the world. Also, scientific evidence proves the considerably lower lung cancer risk perceptions of smokers compared to non-smokers. Objectives: This study aimed at assessing the risk perception of smokers about their risk to contract lung cancer and their perceptions about lung cancer survival. Methods: In this cross-sectional study, the data were collected from 215 smokers in Tabriz, Iran, between April 2019 and July 2019. The data collection was designed, using validated questionnaires and contained questions on the perceived risk of smokers to develop lung cancer and their perception of lung cancer survival. A general linear model was conducted to model the relationship of risk perception with underlying predictors considering a significance level of 0.1. Results: The results of modeling indicated that perceived susceptibility (P-Sus) was negatively related to “years smoked” in simple regression (B = -0.035, P = 0.069) and multiple regression (B = -0.069, P = 0.007). P-Sus was also negatively related to the variable “age” in the age category of 45 to 50 years (B = -1.981, P = 0.046). Moreover, perceived severity (P-Sev) was negatively related to the variable “sex” (B = -1.037, P = 0.068). The results of the Spearman correlation indicated significant and direct correlations between “quitting intention” and P-Sus (r = 0.296, P < 0.001), P-Sev (r = 0.162, P = 0.009). Conclusions: Lung cancer risk perception of participants was moderately above the average and significant correlations were observed between “quitting intention” and “P-Sus” and “P-Sev” and “Risk Perception score”. This could be utilized in developing educational programs to promote awareness about lung cancer, especially for smokers.


Medicina ◽  
2018 ◽  
Vol 54 (6) ◽  
pp. 97 ◽  
Author(s):  
Hamid Chalian ◽  
Pegah Khoshpouri ◽  
Shervin Assari

Background: Perceived risk and worries of developing cancer are important constructs for cancer prevention. Many studies have investigated the relationship between health behaviors and subjective risk perception. However, factors correlated with lung cancer risk perception and worries in individuals more susceptible to lung cancer have rarely been investigated. Objective: To determine demographic, social, and behavioral determinants of cancer perceived risk and worries and to explore heterogeneities in these associations by the level of lung cancer risk in a nationally representative sample of American adults. Methods: For this cross-sectional study, data came from the Health Information National Trends Survey (HINTS) 2017, which included a 2277 representative sample of American adults. Smoking status, cancer perceived risk, cancer worries, age, gender, race, education, income, and insurance status were measured. We ran structural equation models (SEMs) for data analysis. Results: “Ever smoker” status was associated with higher cancer perceived risk (b = 0.25; 95% CI = 0.05–0.44, p = 0.013) and worries (b = 0.34, 95% CI = 0.18–0.50, p < 0.001), suggesting that “ever smokers” experience higher levels of cancer perceived risk and worries regarding cancer, compared to “never smokers”. Other factors that correlate with cancer perceived risk and worries were race, age, income, and insurance status. Blacks demonstrated less cancer perceived risk and worry (b = −0.98, 95% CI = −1.37–0.60, p < 0.001) in both low and high risk lung cancer groups. However, the effects of social determinants (income and insurance status) and age were observed in low but not high risk group. Conclusions: Determinants of cancer perceived risk and worries vary in individuals depending on the level of lung cancer risk. These differences should be considered in clinical practice and policy makings with the goal of improving participation rates in lung cancer screening programs.


2019 ◽  
Author(s):  
A Tufman ◽  
S Schneiderbauer ◽  
D Kauffmann-Guerrero ◽  
F Manapov ◽  
C Schneider ◽  
...  

2013 ◽  
Vol 12 (6) ◽  
pp. 1281-1285 ◽  
Author(s):  
Tiberius Dicu ◽  
Doina Todea ◽  
Constantin Cosma ◽  
Loredana Rosca ◽  
Alexandra Cucos Dinu ◽  
...  

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