Hostname: page-component-cd9895bd7-gbm5v Total loading time: 0 Render date: 2024-12-22T06:43:36.443Z Has data issue: false hasContentIssue false

Stigma in Mexican patients with Lung Cancer: Psychometric Properties of the Cataldo Lung Cancer Stigma Scale (CLCSS) - Brief version

Published online by Cambridge University Press:  20 November 2024

Joel Flores-Juárez*
Affiliation:
Facultad de Psicología, Universidad Nacional Autónoma de México, Mexico City, México Servicio de Psicooncología, Unidad de Investigación y Desarrollo de la Psicooncología, Instituto Nacional de Cancerología, INCan, Ciudad de México, México Unidad Funcional de Oncología Torácica, Instituto Nacional de Cancerología, INCan, Ciudad de México, Mexico
Oscar Galindo-Vázquez
Affiliation:
Servicio de Psicooncología, Unidad de Investigación y Desarrollo de la Psicooncología, Instituto Nacional de Cancerología, INCan, Ciudad de México, México
Patricia Ortega-Andeane
Affiliation:
Facultad de Psicología, Universidad Nacional Autónoma de México, Mexico City, México
Ana Fresán-Orellana
Affiliation:
Subdirección de Investigaciones Clínicas, Instituto Nacional de Psiquiatría Ramón de la Fuente Muñiz, Ciudad de México, México
Xolyanetzin Montero-Pardo
Affiliation:
Universidad Autónoma de Sinaloa, Ciudad de México, México
Tania Estapé
Affiliation:
Coordinadora de Psicooncología de la Fundación FEFOC, Universidad de Barcelona, Barcelona, España
Marisol Arroyo-Hernández
Affiliation:
Unidad Funcional de Oncología Torácica, Instituto Nacional de Cancerología, INCan, Ciudad de México, Mexico
Luis Antonio Cabrera-Miranda
Affiliation:
Unidad Funcional de Oncología Torácica, Instituto Nacional de Cancerología, INCan, Ciudad de México, Mexico
Oscar Arrieta
Affiliation:
Dirección General, Instituto Nacional de Cancerología, INCan, Ciudad de México, Mexico
*
Corresponding author: Joel Flores Juárez; Email: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Introduction

Stigma in lung cancer patients may be associated with various negative outcomes such as increased psychosocial symptoms, severity of physical symptoms, and may act as a barrier to medical help-seeking behavior. The Cataldo Lung Cancer Stigma Scale (CLCSS) is one of the most widely used instruments for assessing health-related stigma in lung cancer patients.

Objectives

To determine the psychometric properties of the CLCSS in a Mexican sample of lung cancer patients.

Methods

A non-experimental, instrumental design was employed, using non-probabilistic sampling based on availability. The sample included 265 lung cancer patients. Confirmatory Factor Analysis (CFA) was conducted to assess construct validity, and Cronbach’s alpha and McDonald’s Omega were used for internal consistency and test-retest reliability, respectively, through Pearson correlation coefficient.

Results

The 17-item version yielded a model with 4 factors (stigma and shame, social isolation, discrimination, and smoking) explaining 50.74% of the variance, with adequate values of internal consistency and test-retest reliability.

Significance of results

The Mexican version of the CLCSS is culturally appropriate, brief, psychometrically valid, and reliable for assessing health-related stigma in Mexican lung cancer patients.

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press.

Introduction

Globally, lung cancer (LC) accounts for 2,206,771 cases and 1,796,144 deaths, with projections indicating an expected increase to 3,610,896 cases and 3,104,704 deaths by the year 2040 (International Agency for Research on Cancer 2021a). In Mexico, LC registers 7,588 new cases and 7,100 deaths (International Agency for Research on Cancer 2021b). Approximately 70% of cases are diagnosed at advanced stages (Hsu et al. Reference Hsu, Wei and Yang2020; Nooreldeen and Bach Reference Nooreldeen and Bach2021). This may be attributed to various factors such as lack of access to healthcare services or knowledge of symptoms. However, another reason that may negatively impact help-seeking behavior is stigma. Stigma refers to the anticipation or fear of discrimination, and awareness of negative attitudes and actions related to a specific condition (Van Brakel Reference Van Brakel2006). Health-related stigma (HRS) is defined as a personal experience characterizing the feeling of exclusion or rejection, as well as guilt or devaluation resulting from the anticipation of adverse judgment. This judgment is based on an enduring trait of identity conferred by a health problem or health-related condition. The judgment is medically unjustified and can negatively affect health status (Weiss and Ramakrishna Reference Weiss and Ramakrishna2006).

For many patients with LC, HRS can negatively affect their willingness to participate in early detection, delay seeking medical evaluation for symptoms, limit their involvement in LC treatment and survivorship care (Hamann et al. Reference Hamann, Ver Hoeve and Carter-Harris2018). Additionally, HRS is associated with the presence of anxiety symptoms (13%–43%), depression (25%–26%), emotional distress (38.6%–40.2%), low self-esteem, low treatment adherence, social isolation, limited living space, employment barriers, social exclusion, lack of social support, increased severity of physical symptoms, and consequently, leads to a decrease in quality of life (Brown Johnson et al. Reference Brown Johnson, Brodsky and Cataldo2014; Carter-Harris et al. Reference Carter-Harris, Hermann and Schreiber2014; Cataldo et al. Reference Cataldo, Slaughter and Jahan2011; Cataldo and Brodsky Reference Cataldo and Brodsky2013; Else-Quest et al. Reference Else-Quest, LoConte and Schiller2009; Ernst et al. Reference Ernst, Mehnert and Dietz2017; Liu et al. Reference Liu, Yang and Narsavage2016; Stergiou-Kita et al. Reference Stergiou-Kita, Pritlove and Kirsh2016; Threader and McCormack Reference Threader and McCormack2016). Thus, identifying the presence and impact of HRS in this patient group will allow for the development of timely and effective psychosocial interventions (Cataldo et al. Reference Cataldo, Slaughter and Jahan2011) to prevent associated complications.

Tobacco consumption is one of the most significant risk factors; approximately 80% of LC cases are attributed to smoking habits (Sung et al. Reference Sung, Ferlay and Siegel2021). Although all LC patients are susceptible to stigma, those with a history of smoking may be perceived as responsible and even deserving of this illness (Hamann et al. Reference Hamann, Howell and McDonald2013; Lobchuk et al. Reference Lobchuk, McClement and McPherson2012). Therefore, stigma in LC is rooted in the belief that the patient’s behavior was the cause of the cancer (Cataldo et al. Reference Cataldo, Slaughter and Jahan2011). It has been noted that approximately 95% of LC patients experience stigma (Hamann et al. Reference Hamann, Ostroff and Marks2014; Shen et al. Reference Shen, Hamann and Thomas2016).

There are various instruments for assessing stigma in lung cancer patients (Webb et al. Reference Webb, McDonnell and Adams2019), such as the Cancer Responsibility and Regret Scale (CRRS) (Criswell et al. Reference Criswell, Owen and Thornton2016), the Explanatory Model Interview Catalog (EMIC) (Weiss et al. Reference Weiss, Doongaji and Siddhartha1992), the Cancer-Related Perceived Stigma Scale (CRPSS) (LoConte et al. Reference LoConte, Else-Quest and Eickhoff2008), the Shame and Stigma Scale (SSS) (Kissane et al. Reference Kissane, Patel and Baser2013), and the Social Impact Scale (SIS) (Fife and Wright Reference Fife and Wright2000). However, these instruments approach the construct from a perspective of “attitudes towards cancer” (Criswell et al. Reference Criswell, Owen and Thornton2016; Kissane et al. Reference Kissane, Patel and Baser2013; LoConte et al. Reference LoConte, Else-Quest and Eickhoff2008) rather than health-related stigma. A current measure that has emerged for specifically evaluating HRS in lung cancer patients, with adequate psychometric properties, is the Cataldo Lung Cancer Stigma Scale (CLCSS) (Cataldo et al. Reference Cataldo, Slaughter and Jahan2011).

The original scale (Cataldo et al. Reference Cataldo, Slaughter and Jahan2011) consists of 31 items with 4 Likert-type response options measuring aspects of HRS, developed to assess perceived stigma among lung cancer patients. Subsequently, a shortened version of 21 items was developed (Carter-Harris and Hall Reference Carter-Harris and Hall2014), as well as another version with 22 items (Lv et al. Reference Lv, Feng and Li2022), both demonstrating adequate psychometric properties.

The CLCSS has undergone various validations across different cancer diagnoses, including lung cancer (Carter-Harris and Hall Reference Carter-Harris and Hall2014; Cataldo et al. Reference Cataldo, Slaughter and Jahan2011; Doganavsargil-Baysal et al. Reference Doganavsargil-Baysal, Senol and Coskun2019; Lima Reference Lima2015; So et al. Reference So, Chae and Kim2017; Yang et al. Reference Yang, Liu and Yang2014), demonstrating appropriate factorial structure, validity, and reliability. These studies have reported between 3 and 6 factors, with Cronbach’s alphas ranging from 0.85 to 0.93 and explained variances from 54.69% to 68%, thus establishing it as a suitable instrument for assessing HRS in lung cancer patients.

Despite these efforts, a valid and reliable instrument is needed in Mexico for evaluating this construct in lung cancer patients. Therefore, the aim of the present research was to determine the psychometric properties of the Cataldo Lung Cancer Stigma Scale (CLCSS) in a Mexican sample of lung cancer patients.

Method

A total of 265 lung cancer patients of both sexes were included in the study. Table 1 describes the demographic and clinical characteristics of the sample. The study was cross-sectional, non-experimental, and instrumental (Carretero-Dios and Pérez Reference Carretero-Dios and Pérez2005). This protocol was approved by the Ethics Committee of the National Cancer Institute in Mexico, with approval number (022/045/ICI) (CEI/027/22). Data collection took place between January and September 2023. Participants were recruited based on availability. Each participant agreed to take part in the study by signing an informed consent form.

Table 1. Sociodemographic and clinical characteristics of the sample

Inclusion criteria

1. Participants with a diagnosis of lung cancer. 2. Aged 18 years and above. 3. Voluntary participation through understanding and acceptance of the informed consent letter. 4. Under active treatment. 5. Any clinical stage. 6. Karnofsky Performance Status Index ≥ 70 points.

Exclusion criteria

1. Participants with hearing or visual impairments preventing scale completion. 2. Those presenting severe psychiatric disorders and/or addiction to psychoactive substances. 3. Participants with cognitive impairments.

Elimination criteria

1. Participants deciding not to continue participating during the completion of the instruments. 2. Incomplete completion of the instruments.

Instrument

Identification Form: A participant identification form was designed, including sociodemographic and clinical data such as age, sex, education level, place of residence, smoking history, oncological diagnosis, clinical stage, medical treatment, and functional level (see Table 1).

Cataldo Lung Cancer Stigma Scale (CLCSS): Developed by Cataldo et al. (Reference Cataldo, Slaughter and Jahan2011), this self-administered instrument utilizes a four-point Likert-type response scale ranging from 1 (strongly disagree) to 4 (strongly agree), with higher scores indicating a stronger perceived stigma by the patient. It consists of 31 items divided into 4 factors: Stigma and Shame (related to the patient’s personal sense of stigma and shame and addresses the perceived consequences of others knowing about it) α = 0.96, Social Isolation (addresses loss of social support) α = 0.95, Discrimination (refers to feeling judged and discriminated against) α = 0.91, and Smoking (refers to lung cancer being considered a disease caused by smoking, even if the patient has never smoked or quit smoking years ago) α = 0.74. It has an overall internal consistency of α = 0.96 and an explained variance of 57%.

Phase I: Cultural adaptation

Permission was obtained from the author to begin the translation process of the original English questionnaire into Mexican Spanish by an expert translator. Subsequently, a group of expert psychologists, pulmonologists, and oncologists conducted an assessment of content validity, difficulty, confusion, appropriate language of items, instructions, and response options. The Aiken’s V index was then calculated for each item, with a critical value of .70 established as the lower limit of the confidence interval (Penfield and Giacobbi, Reference Penfield and Giacobbi2004; Ventura-León Reference Ventura-León2019) for the 31 items. A pilot test was then conducted with a sample of 15 lung cancer patients to evaluate item difficulty, confusion, or offensive language in items, instructions, and response options (Ramada-Rodilla et al. Reference Ramada-Rodilla, Serra-Pujadas and Delclós-Clanchet2013), and minor adjustments were made to items: “20. My lung cancer diagnosis was delayed because my doctor did not take my ‘smoker’s cough’ seriously”; “26. People with lung cancer lose their jobs when bosses know about lung cancer”; and “31. Medical staff does not take ‘smoker’s cough’ seriously.”

Statistical analysis

Construct validity

Confirmatory Factor Analysis (CFA)

Analyses were conducted with measures of central tendency and dispersion for sociodemographic and clinical data. The adequacy of the sample was determined using the Kaiser-Meyer-Olkin (KMO) coefficient and Bartlett’s sphericity test. The construct validity of the CLCSS was analyzed using Confirmatory Factor Analysis (CFA) with the statistical program AMOS version 24, employing maximum likelihood estimation. The evaluation of fit was specified by observing appropriate limits of estimators, standardized parameters, and non-collinearity in measured variables. The following global fit indices were estimated: χ2 and χ2/df ratio, the goodness-of-fit index (GFI, NFI) and their complements (AGFI, TLI), as well as the comparative fit index (CFI), which is the best indicator for samples equal to or greater than 200, considering a value equal to or greater than .90 as acceptable. Lastly, the root mean square error of approximation (RMSEA) and the standardized root mean square residual (SRMR) were considered, with a value equal to or less than .06 considered acceptable. (Byrne Reference Byrne2010; Kline Reference Kline2005; Ullman Reference Ullman2006).

To evaluate reliability, internal consistency was determined using Cronbach’s alpha coefficient and McDonald’s Omega, and test-retest reliability was assessed using the Pearson correlation coefficient. A significance level of p < .05 was adopted.

Results

Confirmatory Factor Analysis (CFA)

The KMO index was 0.91 (p < .001). The CFA of the CLCSS yielded a 4-factor model explaining 50.74% of the variance. The global fit χ2/df ratio (1.848, p = .001) and fit indices NFI = 0.916; TLI = 0.950; CFI = 0.959; AGFI = 0.887; SRMR = 0.0673 and RMSEA = 0.057 demonstrate that the 4-factor model with 17 items is adequate and parsimonious. Factor loadings can be observed in Fig. 1.

Figure 1. Confirmatory factor structure with 17 CLCSS items in Mexican patients with lung cancer (n = 265).

The following items were removed from the dimensions: Stigma and Shame: “1. I feel guilty because I have lung cancer,” “4. I am very careful about who I tell that I have lung cancer,” “8. My lung cancer diagnosis was delayed because I missed the doctor’s appointment,” “9. Some people told me that lung cancer is what I deserve for smoking,” “10. My lung cancer diagnosis was delayed because my doctor did not take my ‘smoker’s cough’ seriously,” “11. Smokers could be denied treatment for lung cancer.” Social Isolation: “13. I stopped socializing with some people because of their reactions related to my lung cancer,” “14. People have physically distanced themselves from me,” “17. People avoid touching me if they know I have lung cancer,” and “20. People’s reaction to knowing I have lung cancer hurt me.” Discrimination: “22. People with lung cancer are discriminated against,” “23. Most people believe that a person with lung cancer is dirty,” and “26. People with lung cancer lose their jobs when bosses or coworkers know about lung cancer.” And Smoking: “31. Medical staff does not take ‘smoker’s cough’ seriously.”

Reliability indices

The internal consistency coefficient Cronbach’s alpha obtained for the overall CLCSS was α = 0.85. For the subscales, it was: Stigma and Shame (SS) α = 0.82; Social Isolation (SI) α = 0.88; Discrimination (D) α = 0.84; and Smoking (S) α = 0.75. Similarly, McDonald’s Omega coefficients were calculated, yielding the following values: CLCSS overall: ω = 0.91; SS: ω = 0.83; SI: ω = 0.89; D: ω = 0.84; and S: ω = 0.77.

For test-retest reliability, a 15-day interval was determined, as it was sufficient time to prevent patients from remembering their responses to the first administration, and it was considered that within this time frame, there would be no clinically significant changes in the patient’s health (Ramada-Rodilla et al. Reference Ramada-Rodilla, Serra-Pujadas and Delclós-Clanchet2013). The test-retest reliability obtained was 0.85. These results indicate an adequate level of consistency between repeated tests using the Mexican version of the CLCSS.

Proposal of cut-off points

For this study, the following cut-off points were proposed based on the values of the 25th, 50th, and 75th quartiles: Patients without stigma (0 to 20 points), mild stigma (21 to 23 points), moderate stigma (24 to 28 points), severe stigma (29 points and above). The percentage of stigma in the Mexican population was as follows: 28.3% had no stigma; 23.0% had mild stigma; 26.8% had moderate stigma; and 21.9% had severe stigma.

Discussion

The present study aimed to determine the psychometric properties of the CLCSS in a Mexican sample of lung cancer patients. Upon examining the dimensionality of the original CLCSS, it was identified that the instrument with 31 items did not adequately fit the Mexican population, thus suggesting the need for instrument reduction.

Regarding the identified dimensions, the CFA presented a 4-factor structure: Stigma and Shame (5 items); Social Isolation (5 items); Discrimination (3 items); and Smoking (4 items), which align with the original version (Cataldo et al. Reference Cataldo, Slaughter and Jahan2011) and subsequent studies in lung cancer patients (Lv et al. Reference Lv, Feng and Li2022; Yang et al. Reference Yang, Liu and Yang2014). However, it differs from validations identified in heterogeneous samples of cancer patients (Doganavsargil-Baysal et al. Reference Doganavsargil-Baysal, Senol and Coskun2019; So et al. Reference So, Chae and Kim2017), where factorial structures range from 3 to 6 factors.

The items of the Stigma and Shame factor in lung cancer patients identified in this study align with what has been reported in the original version (Cataldo et al. Reference Cataldo, Slaughter and Jahan2011), the short version by Carter-Harris et al. (Reference Carter-Harris, Hermann and Schreiber2014)named “shame and guilt,” and the Chinese version (Yang et al. Reference Yang, Liu and Yang2014). It was found that the items “3. Having lung cancer makes me feel like a bad person” and “6. Having lung cancer makes me feel dirty” are not included in this factor in the Chinese version.

Similarly, in the Korean version (So et al. Reference So, Chae and Kim2017) in heterogeneous patient samples, a factor called “guilt” was identified, where the only item not found in our population is item “4. I am very careful about who I tell that I have cancer.” Lastly, the version by Doganavsargil-Baysal et al. (Reference Doganavsargil-Baysal, Senol and Coskun2019), where the factor is “shame and guilt,” the items align with what was identified in our study.

The items identified in the Social Isolation factor also align with what has been reported in the original version (Cataldo et al. Reference Cataldo, Slaughter and Jahan2011). However, items “12. I have lost friends by telling them I have lung cancer” and “16. People seem to be afraid of me because I have lung cancer” are not included in the short version (Carter-Harris et al. Reference Carter-Harris, Hermann and Schreiber2014)), the Chinese version, and in studies of heterogeneous patient samples (Doganavsargil-Baysal et al. Reference Doganavsargil-Baysal, Senol and Coskun2019; So et al. Reference So, Chae and Kim2017).

Regarding the Discrimination and Smoking factors, it was found that they differ from what is reported in the studies (Carter-Harris Reference Carter-Harris, Hermann and Schreiber2015; Doganavsargil-Baysal et al. Reference Doganavsargil-Baysal, Senol and Coskun2019; So et al. Reference So, Chae and Kim2017) since in some validations there were between 3 and 6 factors that do not include the smoking and/or discrimination factor. Therefore, our results align with this factor from the original version (Cataldo et al. Reference Cataldo, Slaughter and Jahan2011).

The elimination of the 14 items was due to not meeting the established criterion of 0.40 in factor loadings. Regarding the items related to guilt and shame and social isolation, one possible explanation could be attributed to the variable social support. It has been noted that due to the characteristics of the disease and its treatment, lung cancer patients need a particularly high level of social support in all its dimensions (Porter et al. Reference Porter, Keefe and Garst2011), in addition to being considered a moderating variable of stigma (Maggio Reference Maggio2015). In Mexican oncological patients, Hernández (Reference Hernández2019) identified that 52% of patients perceived high support; however, further evidence is required regarding the association between social support and stigma specifically in lung cancer patients.

Another possible explanation for the items related to discrimination and smoking may be the satisfaction with the healthcare team, composed of professionals specialized in cancer treatment who may have a greater knowledge of the disease’s causes and may not convey negative attributions towards the patient. Stigma has been noted as a barrier to seeking medical attention (Carter-Harris et al. Reference Carter-Harris, Hermann and Schreiber2014). In our country, Hernandez (Reference Hernández2019) assessed satisfaction with the healthcare team in lung cancer patients, and it was found that 81% had moderate/high satisfaction.

Another possible explanation for the eliminated items may be the characteristics of the sample. It was identified that 30.2% of lung cancer diagnoses were due to a mutation (EGFR/ALK), which was treated with targeted therapy, and they had a Karnofsky performance status score of 90 points, indicating that, despite being in advanced stages, they were able to perform activities of daily living. In Mexico, it has been noted that patients with EGFR/ALK mutation tend to experience less stigmatization compared to other risk factors such as smoking (Arrieta et al. Reference Arrieta, Cardona and Bramuglia2019; Cruz-Rico et al. Reference Cruz-Rico, Avilés-Salas and Segura-González2017).

Regarding the levels of stigma identified in our study, they fall within what has been reported in previous studies, where lung cancer stigma has been reported at 95% (Hamann et al. Reference Hamann, Ostroff and Marks2014; Shen et al. Reference Shen, Hamann and Thomas2016).

Regarding the reliability indices and explained variance, our findings indicate that Cronbach’s Alpha and explained variance fall within acceptable ranges reported in previous studies (Carter-Harris and Hall Reference Carter-Harris and Hall2014; Cataldo et al. Reference Cataldo, Slaughter and Jahan2011; Doganavsargil-Baysal et al. Reference Doganavsargil-Baysal, Senol and Coskun2019; Lima Reference Lima2015; So et al. Reference So, Chae and Kim2017; Yang et al. Reference Yang, Liu and Yang2014). Even though the number of items was reduced by almost half, the short version did not imply a decrease in consistency indices for the CFA. As noted by Carter-Harris and Hall (Reference Carter-Harris and Hall2014), the shorter version will also reduce the burden on lung cancer patients when completing the instrument.

One of the main strengths of this research is the reporting of the CFA. Currently, only 2 studies have conducted the CFA of the CLCSS. The model fit indices are superior to the validation performed in a heterogeneous sample of cancer patients (So et al. Reference So, Chae and Kim2017) but similar to the fit indices of the 22-item short version for lung cancer patients (Lv et al. Reference Lv, Feng and Li2022), and in these validations, it is concluded that the CLCSS is a suitable instrument for evaluating ERS. Therefore, this supports our findings to use the CLCSS as an instrument for this construct in our population.

Another strength of our study is the proposal of cutoff points, which have not been identified in validations conducted in both the original version and subsequent studies (Carter-Harris and Hall Reference Carter-Harris and Hall2014; Cataldo et al. Reference Cataldo, Slaughter and Jahan2011; Doganavsargil-Baysal et al. Reference Doganavsargil-Baysal, Senol and Coskun2019; Lima Reference Lima2015; Lv et al. Reference Lv, Feng and Li2022; So et al. Reference So, Chae and Kim2017; Yang et al. Reference Yang, Liu and Yang2014). This allows us to have an overview of the impact of ERS on our population.

Limitations

Within the limitations of this study, the sample size and sampling type make it difficult to generalize the results of this research to the entire Mexican population with lung cancer, as well as the use of a specialized cancer treatment center. An additional limitation is the lack of concurrent and divergent validity. It is also recommended that future research pay attention to the floor-ceiling effect.

Conclusion

The Mexican version of the CLCSS is culturally appropriate, brief, psychometrically valid, and reliable for assessing health-related stigma in lung cancer patients. Its use in clinical care and research is recommended.

Funding

Acknowledgment to the National Council of Science and Technology (CONACyT) for the scholarship granted to Joel Flores-Juárez with scholarship number 1084570 belonging to the Doctoral Program in Psychology and Health area of the National Autonomous University of Mexico (UNAM).

References

Arrieta, O, Cardona, AF, Bramuglia, G, et al. on behalf of the CLICaP (2019) Molecular Epidemiology of ALK rearrangements in advanced lung adenocarcinoma in Latin America. Oncology 96(4), 207216. doi:10.1159/000493733CrossRefGoogle ScholarPubMed
Brown Johnson, CG, Brodsky, JL and Cataldo, JK (2014) Lung cancer stigma, anxiety, depression, and quality of life. Journal of Psychosocial Oncology 32(1), 5973. doi:10.1080/07347332.2013.855963CrossRefGoogle ScholarPubMed
Byrne, B (2010) Structural Equation Modeling with AMOS: Basic Concepts, Applications, and Programming, Second Edition (Edición: 2). New York: Routledge.Google Scholar
Carretero-Dios, H and Pérez, C (2005) Normas para el desarrollo y revisión de estudios instrumentales. International Journal of Clinical and Health Psychology 5(3), 521551. https://www.redalyc.org/pdf/337/33705307.pdfGoogle Scholar
Carter-Harris, L and Hall, LA (2014) Development of a short version of the cataldo lung cancer stigma scale. Journal of Psychosocial Oncology 32(6), 665677. doi:10.1080/07347332.2014.955238CrossRefGoogle Scholar
Carter-Harris, L, Hermann, CP, Schreiber, J, et al. (2014) Lung cancer stigma predicts timing of medical help-seeking behavior. Oncology Nursing Forum 41(3), E203E210. doi:10.1188/14.ONF.E203-E210CrossRefGoogle ScholarPubMed
Cataldo, JK and Brodsky, JL (2013) Lung cancer stigma, anxiety, depression and symptom severity. Oncology 85(1), 3340. doi:10.1159/000350834CrossRefGoogle ScholarPubMed
Cataldo, JK, Slaughter, R, Jahan, TM, et al. (2011) Measuring stigma in people with lung cancer: Psychometric testing of the cataldo lung cancer stigma scale. Oncology Nursing Forum 38(1), E46E54. doi:10.1188/11.ONF.E46-E54CrossRefGoogle ScholarPubMed
Criswell, KR, Owen, JE, Thornton, AA, et al. (2016) Personal responsibility, regret, and medical stigma among individuals living with lung cancer. Journal of Behavioral Medicine 39(2), 241253. doi:10.1007/s10865-015-9686-6CrossRefGoogle ScholarPubMed
Cruz-Rico, G, Avilés-Salas, A, Segura-González, M, et al. (2017) Diagnosis of EML4-ALK translocation with FISH, immunohistochemistry, and real-time polymerase chain reaction in patients with non-small cell lung cancer. American Journal of Clinical Oncology 40(6), 631638. doi:10.1097/COC.0000000000000213CrossRefGoogle ScholarPubMed
Doganavsargil-Baysal, O, Senol, Y and Coskun, HS (2019) Cancer stigma scale: Validity and reliability study of the Turkish version of the cataldo lung cancer stigma scale for all cancer subtypes. Journal of Oncological Sciences 5(3), 105108. doi:10.1016/j.jons.2019.09.001CrossRefGoogle Scholar
Else-Quest, NM, LoConte, NK, Schiller, JH, et al. (2009) Perceived stigma, self-blame, and adjustment among lung, breast and prostate cancer patients. Psychology and Health 24(8), 949964. doi:10.1080/08870440802074664CrossRefGoogle ScholarPubMed
Ernst, J, Mehnert, A, Dietz, A, et al. (2017) Perceived stigmatization and its impact on quality of life—Results from a large register-based study including breast, colon, prostate and lung cancer patients. BMC Cancer 17(1), . doi:10.1186/s12885-017-3742-2CrossRefGoogle ScholarPubMed
Fife, BL and Wright, ER (2000) The dimensionality of stigma: A comparison of its impact on the self of persons with HIV/AIDS and cancer. Journal of Health and Social Behavior 41(1), 5067. doi:10.2307/2676360CrossRefGoogle Scholar
Hamann, HA, Howell, LA and McDonald, JL (2013) Causal attributions and attitudes toward lung cancer. Journal of Applied Social Psychology 43(S1), E37E45. doi:10.1111/jasp.12053CrossRefGoogle Scholar
Hamann, HA, Ostroff, JS, Marks, EG, et al. (2014) Stigma among patients with lung cancer: A patient-reported measurement model. Psycho-Oncology 23(1), 8192. doi:10.1002/pon.3371CrossRefGoogle ScholarPubMed
Hamann, HA, Ver Hoeve, ES, Carter-Harris, L, et al. (2018) Multilevel opportunities to address lung cancer stigma across the cancer control continuum. Journal of Thoracic Oncology: Official Publication of the International Association for the Study of Lung Cancer 13(8), 10621075. doi:10.1016/j.jtho.2018.05.014CrossRefGoogle ScholarPubMed
Hernández, J (2019) Niveles de satisfacción con el equipo de salud, síntomas de ansiedad y depresión en pacientes mexicanos con cáncer. (Tesis de pregrado). Universidad Nacional Autónoma de México, Facultad de Psicología.Google Scholar
Hsu, JC, Wei, C-F, Yang, S-C, et al. (2020) Lung cancer survival and mortality in Taiwan following the initial launch of targeted therapies: An interrupted time series study. BMJ Open 10(5), . doi:10.1136/bmjopen-2019-033427CrossRefGoogle ScholarPubMed
International Agency for Research on Cancer (2021a) World source: Globocan 2020. file:///C:/Users/signu/Downloads/900-world-fact-sheets%20(1).pdf (accessed 4 April 2024).Google Scholar
International Agency for Research on Cancer (2021b) Mexico source: Globocan 2020. file:///C:/Users/signu/Downloads/484-mexico-fact-sheets%20(1).pdf (accessed 4 April 2024).Google Scholar
Kissane, DW, Patel, SG, Baser, RE, et al. (2013) Preliminary evaluation of the reliability and validity of the shame and stigma scale in head and neck cancer. Head & Neck 35(2), 172183. doi:10.1002/hed.22943CrossRefGoogle ScholarPubMed
Kline, R (2005) Principles and Practice of Structural Equation Modeling, 2nd edn. New York: Guilford.Google Scholar
Lima, ICPC (2015) Versão brasileira da Escala de Cataldo: Avaliação do estigma em pacientes com câncer de pulmão [Text, Universidade de São Paulo]. doi:10.11606/D.7.2016.tde-20102015-143132.CrossRefGoogle Scholar
Liu, H, Yang, Q, Narsavage, GL, et al. (2016) Coping with stigma: The experiences of Chinese patients living with lung cancer. SpringerPlus 5(1), . doi:10.1186/s40064-016-3486-5CrossRefGoogle ScholarPubMed
Lobchuk, MM, McClement, SE, McPherson, CJ, et al. (2012) Impact of patient smoking behavior on empathic helping by family caregivers in lung cancer. Oncology Nursing Forum 39(2), E112121. doi:10.1188/12.ONF.E112-E121CrossRefGoogle ScholarPubMed
LoConte, NK, Else-Quest, NM, Eickhoff, J, et al. (2008) Assessment of guilt and shame in patients with non-small-cell lung cancer compared with patients with breast and prostate cancer. Clinical Lung Cancer 9(3), 171178. doi:10.3816/CLC.2008.n.026CrossRefGoogle ScholarPubMed
Lv, X-Q, Feng, Y, Li, J-R, et al. (2022) Validation of a Chinese version of the short-form cataldo lung cancer stigma scale. Heart & Lung: The Journal of Critical Care 51, 5966. doi:10.1016/j.hrtlng.2021.08.004CrossRefGoogle ScholarPubMed
Maggio, L (2015) Explore the relationship among lung cancer stigma, social support, and psychosocial distress. Theses and Dissertations--Nursing. doi:10.13023/ETD.2016.022Google Scholar
Nooreldeen, R and Bach, H (2021) Current and future development in lung cancer diagnosis. International Journal of Molecular Sciences 22(16), . doi:10.3390/ijms22168661CrossRefGoogle ScholarPubMed
Penfield, RD and Giacobbi, PR Jr.Jr. (2004) Applying a score confidence interval to Aiken’s item content-relevance index. Measurement in Physical Education and Exercise Science 8(4), 213225. doi:10.1207/s15327841mpee0804_3CrossRefGoogle Scholar
Porter, LS, Keefe, FJ, Garst, J, et al. (2011) Caregiver-assisted coping skills training for lung cancer: Results of a randomized clinical trial. Journal of Pain and Symptom Management 41(1), 113. doi:10.1016/j.jpainsymman.2010.04.014CrossRefGoogle ScholarPubMed
Ramada-Rodilla, JM, Serra-Pujadas, C and Delclós-Clanchet, GL (2013) Adaptación cultural y validación de cuestionarios de salud: Revisión y recomendaciones metodológicas. Salud Pública de México 55(1), 5766. doi:10.1590/S0036-36342013000100009CrossRefGoogle Scholar
Shen, MJ, Hamann, HA, Thomas, AJ, et al. (2016) Association between patient-provider communication and lung cancer stigma. Supportive Care in Cancer: Official Journal of the Multinational Association of Supportive Care in Cancer 24(5), 20932099. doi:10.1007/s00520-015-3014-0CrossRefGoogle ScholarPubMed
So, HS, Chae, MJ and Kim, HY (2017) Reliability and validity of the Korean version of the cancer stigma scale. Journal of Korean Academy of Nursing 47(1), 121132. doi:10.4040/jkan.2017.47.1.121CrossRefGoogle ScholarPubMed
Stergiou-Kita, M, Pritlove, C and Kirsh, B (2016) The «Big C»-stigma, cancer, and workplace discrimination. Journal of Cancer Survivorship: Research and Practice 10(6), 10351050. doi:10.1007/s11764-016-0547-2CrossRefGoogle Scholar
Sung, H, Ferlay, J, Siegel, RL, et al. (2021) Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA: A Cancer Journal for Clinicians 71(3), 209249. doi:10.3322/caac.21660Google ScholarPubMed
Threader, J and McCormack, L (2016) Cancer-related trauma, stigma and growth: The «lived» experience of head and neck cancer. European Journal of Cancer Care 25(1), 157169. doi:10.1111/ecc.12320CrossRefGoogle ScholarPubMed
Ullman, JB (2006) Structural equation modeling: Reviewing the basics and moving forward. Journal of Personality Assessment 87(1), 3550. doi:10.1207/s15327752jpa8701_03CrossRefGoogle ScholarPubMed
Van Brakel, WH (2006) Measuring health-related stigma—A literature review. Psychology, Health and Medicine 11(3), 307334. doi:10.1080/13548500600595160CrossRefGoogle ScholarPubMed
Ventura-León, J (2019) De regreso a la validez basada en el contenido. Adicciones doi:10.20882/adicciones.1213CrossRefGoogle Scholar
Webb, LA, McDonnell, KK, Adams, SA, et al. (2019) Exploring stigma among lung cancer survivors: A scoping literature review. Oncology Nursing Forum 46(4), 402418. doi:10.1188/19.ONF.402-418Google ScholarPubMed
Weiss, MG, Doongaji, DR, Siddhartha, S, et al. (1992) The Explanatory Model Interview Catalogue (EMIC). Contribution to cross-cultural research methods from a study of leprosy and mental health. The British Journal of Psychiatry: The Journal of Mental Science 160, 819830. doi:10.1192/bjp.160.6.819CrossRefGoogle ScholarPubMed
Weiss, MG and Ramakrishna, J (2006) Stigma interventions and research for international health. Lancet (London, England) 367(9509), 536538. doi:10.1016/S0140-6736(06)68189-0CrossRefGoogle ScholarPubMed
Yang, -Q-Q, Liu, H-X, Yang, C-L, et al. (2014) Reliability and validity of Chinese version of cataldo lung cancer stigma scale. International Journal of Nursing Sciences 1, 2327. doi:10.1016/j.ijnss.2014.02.011CrossRefGoogle Scholar
Figure 0

Table 1. Sociodemographic and clinical characteristics of the sample

Figure 1

Figure 1. Confirmatory factor structure with 17 CLCSS items in Mexican patients with lung cancer (n = 265).