Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Search in posts
Search in pages
Filter by Categories
Addendum
Announcement
Announcements
Author’ response
Author’s reply
Authors' response
Authors#x2019; response
Book Received
Book Review
Book Reviews
Books Received
Centenary Review Article
Clinical Image
Clinical Images
Commentary
Communicable Diseases - Original Articles
Correspondence
Correspondence, Letter to Editor
Correspondences
Correspondences & Authors’ Responses
Corrigendum
Corrrespondence
Critique
Current Issue
Editorial
Editorial Podcast
Errata
Erratum
FORM IV
GUIDELINES
Health Technology Innovation
IAA CONSENSUS DOCUMENT
Innovations
Letter to Editor
Malnutrition & Other Health Issues - Original Articles
Media & News
Notice of Retraction
Obituary
Original Article
Original Articles
Panel of Reviewers (2006)
Panel of Reviewers (2007)
Panel of Reviewers (2009) Guidelines for Contributors
Perspective
Policy
Policy Document
Policy Guidelines
Policy, Review Article
Policy: Correspondence
Policy: Editorial
Policy: Mapping Review
Policy: Original Article
Policy: Perspective
Policy: Process Paper
Policy: Scoping Review
Policy: Special Report
Policy: Systematic Review
Policy: Viewpoint
Practice
Practice: Authors’ response
Practice: Book Review
Practice: Clinical Image
Practice: Commentary
Practice: Correspondence
Practice: Letter to Editor
Practice: Method
Practice: Obituary
Practice: Original Article
Practice: Pages From History of Medicine
Practice: Perspective
Practice: Review Article
Practice: Short Note
Practice: Short Paper
Practice: Special Report
Practice: Student IJMR
Practice: Systematic Review
Pratice, Original Article
Pratice, Review Article
Pratice, Short Paper
Programme
Programme, Correspondence, Letter to Editor
Programme: Authors’ response
Programme: Commentary
Programme: Correspondence
Programme: Editorial
Programme: Original Article
Programme: Originial Article
Programme: Perspective
Programme: Rapid Review
Programme: Review Article
Programme: Short Paper
Programme: Special Report
Programme: Status Paper
Programme: Systematic Review
Programme: Viewpoint
Protocol
Public Notice
Research Brief
Research Correspondence
Retraction
Review Article
Reviewers
Short Paper
Some Forthcoming Scientific Events
Special Opinion Paper
Special Report
Special Section Nutrition & Food Security
Status Paper
Status Report
Strategy
Student IJMR
Systematic Article
Systematic Review
Systematic Review & Meta-Analysis
View Point
Viewpoint
White Paper
Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Search in posts
Search in pages
Filter by Categories
Addendum
Announcement
Announcements
Author’ response
Author’s reply
Authors' response
Authors#x2019; response
Book Received
Book Review
Book Reviews
Books Received
Centenary Review Article
Clinical Image
Clinical Images
Commentary
Communicable Diseases - Original Articles
Correspondence
Correspondence, Letter to Editor
Correspondences
Correspondences & Authors’ Responses
Corrigendum
Corrrespondence
Critique
Current Issue
Editorial
Editorial Podcast
Errata
Erratum
FORM IV
GUIDELINES
Health Technology Innovation
IAA CONSENSUS DOCUMENT
Innovations
Letter to Editor
Malnutrition & Other Health Issues - Original Articles
Media & News
Notice of Retraction
Obituary
Original Article
Original Articles
Panel of Reviewers (2006)
Panel of Reviewers (2007)
Panel of Reviewers (2009) Guidelines for Contributors
Perspective
Policy
Policy Document
Policy Guidelines
Policy, Review Article
Policy: Correspondence
Policy: Editorial
Policy: Mapping Review
Policy: Original Article
Policy: Perspective
Policy: Process Paper
Policy: Scoping Review
Policy: Special Report
Policy: Systematic Review
Policy: Viewpoint
Practice
Practice: Authors’ response
Practice: Book Review
Practice: Clinical Image
Practice: Commentary
Practice: Correspondence
Practice: Letter to Editor
Practice: Method
Practice: Obituary
Practice: Original Article
Practice: Pages From History of Medicine
Practice: Perspective
Practice: Review Article
Practice: Short Note
Practice: Short Paper
Practice: Special Report
Practice: Student IJMR
Practice: Systematic Review
Pratice, Original Article
Pratice, Review Article
Pratice, Short Paper
Programme
Programme, Correspondence, Letter to Editor
Programme: Authors’ response
Programme: Commentary
Programme: Correspondence
Programme: Editorial
Programme: Original Article
Programme: Originial Article
Programme: Perspective
Programme: Rapid Review
Programme: Review Article
Programme: Short Paper
Programme: Special Report
Programme: Status Paper
Programme: Systematic Review
Programme: Viewpoint
Protocol
Public Notice
Research Brief
Research Correspondence
Retraction
Review Article
Reviewers
Short Paper
Some Forthcoming Scientific Events
Special Opinion Paper
Special Report
Special Section Nutrition & Food Security
Status Paper
Status Report
Strategy
Student IJMR
Systematic Article
Systematic Review
Systematic Review & Meta-Analysis
View Point
Viewpoint
White Paper
View/Download PDF

Translate this page into:

Original Article
143 (
Suppl 1
); S32-S37
doi:
10.4103/0971-5916.191751

Association of education & lifestyle factors with the perception of genetic knowledge on the development of lung cancer

Department of Biostatistics & Epidemiology, College of Public Health, East Tennessee State University, Johnson City, TN 37614, USA

Reprint requests: Dr. Liang Wang, Department of Biostatistics & Epidemiology, College of Public Health, East Tennessee State University, PO Box 70259, Lamb Hall, Johnson City, TN 37614-1700, USA. e-mail: wangl2@etsu.edu

Licence

This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

Disclaimer:
This article was originally published by Medknow Publications & Media Pvt Ltd and was migrated to Scientific Scholar after the change of Publisher.

Abstract

Background & objectives:

The perception of genetic knowledge is useful for improving the heath behaviour change against developing cancers. However, no studies have investigated the perception of genetic knowledge on the development of lung cancer. The aim of this study was to examine demographic and lifestyle factors of the perception of genetic knowledge on the development of lung cancer.

Methods:

Data on 2,295 US adults (739 had the perception of genetic knowledge) were taken from the 2003 Health Information National Trends Survey. Multiple logistic regression models were used to evaluate potential factors of the perception of genetic knowledge of lung cancer.

Results:

Participants aged ≥65 yr were more likely to have the perception of genetic knowledge than those aged 18-44 yr (OR=1.77, 95% CI=1.27-2.46). Higher education was associated with a greater perception of genetic knowledge (OR=1.47, 95% CI=1.16-1.87). Subjects with correct smoking attitude were more than three times more likely to have the perception of genetic knowledge (OR=3.15, 95% CI=2.10-4.72). Subjects with exercise were at an increased likelihood of having the perception of genetic knowledge than those without exercise (OR=1.63, 95% CI=1.24-2.13).

Interpretation & conclusions:

Positive associations were observed between education and lifestyle factors and the perception of genetic knowledge on the development of lung cancer among US adults. Strategies developed to improve the perception of genetic knowledge of lung cancer may target on individuals who are young, less educated, and lack correct smoking attitude or exercise.

Keywords

Age
education
exercise
genetic knowledge
lung cancer
perception
smoking attitude

Interactions between genes or gene and environment play an important role in the aetiology of complex human diseases. Genetic testing has been used to examine whether individuals are at an increased risk for genetic susceptibility to various diseases1, and to allow the susceptible individuals to be less likely to have detrimental exposures and more likely to have surveillance for early disease or to accept preventive treatment2. Compared to low predictive values for chronic diseases obtained from most non-genetic risk factors for these diseases3, high predictive values of disease risk factors was expected via the use of genetic testing4. However, individuals who lack genetic knowledge feel difficult to formulate an opinion for genetic testing5. A greater perception of genetic knowledge is associated with more positive attitudes towards the benefits of genetic testing for chronic diseases6 and cancer risk7.

The value of genetic test for lung cancer is controversial due to the complexity and uncertainty of the role of the perception of genetic knowledge in health behaviour1. Lerman and colleagues8 found that smokers at increased risk for lung cancer did not change their behaviours, by contrast, they might become more vulnerable and depressed and less likely to enhance quitting smoking behaviour. However, it was found in a follow up study that depressive symptoms were not maintained over time and genetic testing for susceptibility had the intended roles in motivations to quit smoking if more intensive smoking-cessation treatment was provided to heighten motivations for the behaviour change9. These results suggest that the perception of genetic knowledge and appropriate support such as genetic counselling and intensive education may be useful for improving the health behaviour change against developing lung cancer. Identification of factors for the perception of genetic knowledge may contribute to the greater understanding of risk for the diseases, which could lead to potential positive behaviour and lifestyle changes if given sufficient support. Candidate gene and genome-wide association studies have identified a number of genetic variants associated with lung cancer risk while identifying genetic biomarkers and patterns of genetic risk may be useful in the earlier detection and treatment of lung cancer patients1011. To our knowledge, however, no studies have investigated factors of the perception of genetic knowledge on the development of lung cancer. The aim of this study was to examine the associations of demographic and lifestyle factors with the perception of genetic knowledge on the development of lung cancer using data from a national cross-sectional survey.

Material & Methods

Data were from the U.S. National Cancer Institute's Health Information National Trends Survey (HINTS 2003) (hints.cancer.gov), a national probability survey conducted in every two years covering a wide range of issues with regard to cancer-related knowledge, information, attitudes and behaviours among U.S. adults. This survey utilized a cross-sectional, complex sample survey design, data weighting and oversampled Hispanic and African American populations. For analytic purposes, variances of parameter estimators were obtained using a jackknife12. HINTS participants were reached by random-digit dialing and data collection which consisted of two phases including a screening phase and an extended interview phase. Details regarding the HINTS are available elsewhere1314. The HINTS 2003 sample consisted of 6,369 individuals, of whom 2,919 respondents smoking at least 100 cigarettes in the lifetime were randomly assigned to answer questions with regard to lung cancer prevention and were thus eligible for this study. We excluded individuals who were American Indians or Alaska Natives, Asians, and Native Hawaiians or other Pacific Islanders due to the small sample size for each of this race, leaving a sample of 2,295 participants in our final analysis. This study was approved by the Institutional Review Board (IRB) of East Tennessee State University, USA.

Measures

Outcome: Perception of genetic knowledge: For respondents who have smoked at least 100 cigarettes in his/her lifetime, responses to the question “Whether a person gets lung cancer depends more on genes than anything else?” were dichotomized into yes or no. The perception of genetic knowledge was determined by an affirmative answer “yes” to the question.

Demographic and lifestyle factors: Demographic characteristics included gender (male, female), age (18-44, 45-64, ≥ 65 yr), race (White, African American), marital status (never married, married, and other), education, family history of cancer, and general health status. Education was determined by asking whether he/she had a high school's degree. Family history was asked whether “having a family history of cancer”.

Having correct smoking attitude, exercise, and fruit and vegetable intake were dichotomized into yes or no. Smoking attitude was determined by answering the question whether “there is no risk if someone only smokes a few years?” Having correct smoking attitude was determined by responding “somewhat disagree or strongly disagree” to the question. Having exercise was determined by a positive response to the question “During the past month, did you participate in any physical activities or exercises such as running, calisthenics, golf, gardening, or walking for exercise?” Fruit and vegetable intake was asked by the question “how many servings of fruits and vegetables do you think a person should eat each day for good health?” and determined as “yes” if consuming more than five servings per day.

Statistical analysis: Base weights were generated for each sampled identification number in the final data release using the sampling strategy for the survey. A set of 50 replicate weights was generated according to procedures for jackknife variance estimation. The final set of replicate weights included calibrations against comparable population data regarding gender, age, race, and education from the current population survey. To account for the multistage sampling complex design and its sampling weights, we used the SAS PROC SURVEYFREQ procedure (https://support.sas.com/documentation/cdl/en/statugsurveyfreq/61835/PDF/default/statugsurveyfreq.pdf) to estimate the proportions of demographic (gender, age, race, education, marital status, family history, general health) and lifestyle (smoking attitude, exercise, fruit and vegetable intake) characteristics in participants with the perception of genetic knowledge and those without the perception. SAS PROC SURVEYLOGISTIC procedure (https://support.sas.com/documentation/cdl/en/statugsurveylogistic/61836/PDF/default/statu

gsurveylogistic.pdf) was used to calculate population estimates and their 95 per cent confidence intervals. Bivariate analyses with logistic regressions were used to examine the relationship between each demographic/lifestyle factor and the perception of genetic knowledge of lung cancer. Then, multiple logistic regression was performed to adjust for all the factors simultaneously to examine the associations of these factors with the perception of genetic knowledge. All the analyses were performed using SAS 9.2 (SAS Institute, Cary, NC, USA).

Results

Table I describes demographic and lifestyle characteristics of participants with the perception of genetic knowledge (group 1) and those without the perception (group 2). For demographic factors, more than half of participants were males or married in both groups. The majority of participants were younger than 65 yr of age or Whites. The percentage was higher in group 1 than group 2 for participants who received education of high school or above (59 vs. 46%) and had family history of cancer (69 vs. 64%), but the percentage was lower in group 1 than group 2 for participants who were in excellent or very good health condition (37 vs. 40%). For lifestyle factors, the majority of individuals in both groups had correct smoking attitude (78 vs. 92%), and did not consume more than five servings of fruits and vegetables per day (81 vs. 72%). More participants in group 1 were engaged in exercise than group 2 (50 vs. 38%).

Table I Sample characteristics of demographic and lifestyle factors, 2003 Health Information National Trends Survey (N=1,556)

Associations of factors with the perception of genetic knowledge: The associations of demographic and lifestyle factors with the perception of genetic knowledge are shown in Table II. The univariate results showed that demographic (old age, higher education, divorced marital status) and lifestyle factors (correct smoking attitude, exercise, lack of fruit and vegetable intake) were positively associated with the perception of genetic knowledge. Multiple logistic regression model showed that participants aged 65 yr or older were more likely to have the perception of genetic knowledge than those aged 18-44 yr (OR=1.77, 95% CI=1.27-2.46). Higher education was associated with a greater perception of genetic knowledge (OR=1.47, 95% CI=1.16-1.87). Participants with correct smoking attitude had more than three times odds of having the perception of genetic knowledge than those without correct smoking attitude (OR=3.15, 95% CI=2.10-4.72). Participants with exercise were at an increased likelihood of having the perception of genetic knowledge (OR=1.63, 95% CI=1.24-2.13).

Table II Univariate and multiple logistic regression analyses of the associations between demographic and lifestyle factors and the perception of genetic knowledge, the 2003 Health Information National Trends Survey (N=2,295)

Discussion

Our study suggested that old age, higher education, and several lifestyle factors including smoking attitude and exercise were positively associated with the perception of genetic knowledge on the development of lung cancer.

A constant decline in age-adjusted cancer deaths has been shown via primary prevention efforts in tobacco and diet and secondary prevention efforts for breast, cervical, and colorectal cancers15. For lung cancer, however, secondary prevention strategies such as early detection, screening, or treatment may not be available to individuals at high risk identified by genetic testing. For example, the CYP2D6 gene is associated with lung cancer, however, the genotyping of CYP2D6 may not be always feasible due to laboratory quality issues and cost1. In contrast, those individuals who obtained the information from genetic testing may ultimately have adverse health behaviours regardless of results. For example, individuals may continue their risk behaviours due to falsely low perceived risk if they were told to have a reduced risk for developing lung cancer1. In our study, it was found that incorrect smoking attitude was associated with a lack of the perception of genetic knowledge of lung cancer. Individuals would continue the unhealthy behaviour if they had a low perception of genetic knowledge. In contrast, individuals with such perception may be more likely to have intensive smoking cessation treatment that can be used to motivate smokers who understand lung cancer risk to quit smoking9.

Our study aimed to examine the factors of the perception of genetic knowledge. Higher levels of the perception of genetic knowledge have been shown to be associated with higher likelihood of individuals endorsing behavioural factors16, and it also shows that low levels of health literacy is associated with less likelihood of developing health behaviours and poorer health outcomes1718. Thus, it is imperative to assess roles of factors on individuals’ perception of genetic knowledge. Our finding was consistent with other studies that higher education was associated with a higher level of the perception of genetic knowledge6. For age, previous studies found that younger age was associated with a higher level of the perception of genetic knowledge in the US16, Netherlands619 and Finland20, which was different from our finding. This is because our study focuses on the lung cancer and the definition of perception of genetic knowledge may vary across these studies. For lifestyle factors, because of the unique research outcome of interest, smoking attitude and exercise were proposed to be associated with the perception of genetic knowledge of lung cancer.

This study had several strengths. First, the instrument was well developed via three phases. Second, the average length of interviews was ensured to be within half an hour, which reduced the likelihood of participants’ dropping during the interview. Third, the HINTS data were weighted to represent the national population.

Our study also had limitations. First, the HINTS used a probability sample of US telephone numbers which can only identify the non-institutionalized US civilian population. Thus, individuals who were homeless, did not have a telephone, or were not available to answer the telephone were excluded. This may cause a potential selection bias. Second, data were collected by using computer-assisted telephone interview (CATI) system in English or Spanish. It is more likely to exclude the adults who did not have patience to complete the CATI or those who did not understand these two languages. Although the data were weighted, the representation of the entire national population should be interpreted with caution. Third, data were collected based on self-reported and retrospective recall within a limited time, which may compromise the accuracy. Fourth, although a followup telephone call was arranged if the household reporter was not available, the response rate was still lower than expected, only 62.8 per cent. Fifth, family history of cancer has been given in general, which would be more accurate to have information of family history of lung cancer. Sixth, lifestyle factors such as exercise and fruit and vegetable intake were dichotomized as yes or no without taking into consideration the dose and duration effect due to lack of information. Finally, the increase of genetic knowledge may likely increase people's beliefs about genetic testing, but the nature of cross-sectional design could not draw inferences concerning the direction of this relationship or determine the causality because of its “snap shot” characteristic that only measures exposure and outcome variables at one point in time. Longitudinal studies are needed to determine the effect of the factors on the perception of genetic knowledge.

In conclusion, positive associations were found between education and lifestyle factors and the perception of genetic knowledge on the development of lung cancer among US adults. Strategies developed to improve the perception of genetic knowledge of lung cancer may target on individuals who are young, have lower education, and lack correct smoking attitude or exercise.

Acknowledgment

The authors thank the National Cancer Institute, USA, for providing the data from the 2003 Health Information National Trends Survey.

Conflicts of Interest: None.

References

  1. , , , . Genetic testing for lung cancer risk: if physicians can do it, should they? J Gen Intern Med. 2002;17:946-51.
    [Google Scholar]
  2. , . From genes to public health: the applications of genetic technology in disease prevention. Am J Public Health. 1996;6:1717-22.
    [Google Scholar]
  3. , , , . Epidemiologic evaluation of screening for risk factors: application to genetic screening. Am J Public Health. 1985;75:1204-8.
    [Google Scholar]
  4. , , . Epidemiologic evaluation of the use of genetics to improve the predictive value of disease risk factors. Am J Hum Genet. 1995;56:835-44.
    [Google Scholar]
  5. , , . Does knowledge make a difference? The association between knowledge about genes and attitudes toward gene tests. J Health Commun. 2000;5:29-39.
    [Google Scholar]
  6. , , , , . Perceived genetic knowledge, attitudes towards genetic testing, and the relationship between these among patients with a chronic disease. Patient Educ Couns. 2007;65:197-204.
    [Google Scholar]
  7. , , , , . The association between knowledge and attitudes about genetic testing for cancer risk in the United States. J Health Commun. 2005;10:309-21.
    [Google Scholar]
  8. , , , , , , . Incorporating biomarkers of exposure and genetic susceptibility into smoking cessation treatment: effects on smoking-related cognitions, emotions, and behavior change. Health Psychol. 1997;16:87-99.
    [Google Scholar]
  9. , , , , , , . Genetic susceptibility testing in smoking-cessation treatment: one-year outcomes of a randomized trial. Addict Behav. 1997;22:741-51.
    [Google Scholar]
  10. , , , , , , . Pathway analysis for genome-wide association study of lung cancer in Han Chinese population. PLoS One. 2013;8:e57763.
    [Google Scholar]
  11. , , . Genetic susceptibility to lung cancer--light at the end of the tunnel? Carcinogenesis. 2013;34:487-502.
    [Google Scholar]
  12. , . Introduction to variance estimation. New York: Springer-Verlag; .
  13. , , , , , , . The Health Information National Trends Survey (HINTS): development, design, and dissemination. J Health Commun. 2004;9:443-60.
    [Google Scholar]
  14. National Cancer Institute. Health Information National Trends Survey. Available from: http://hintscancer.gov/
    [Google Scholar]
  15. American Cancer Society. In: Cancer facts and figures. .
    [Google Scholar]
  16. , , , , , , . Age differences in genetic knowledge, health literacy and causal beliefs for health conditions. Public health Genomics. 2011;14:307-16.
    [Google Scholar]
  17. , , , , , , . Literacy and Health Outcome. Evidence report/Technology Assessment No. 87 AHRQ Publication No 04-E007-2. Rockville, MD: Agency for Healthcare Research and Quality; .
  18. . Proceedings of the 2005 White House Conference on Aging Mini-Conference on Health Literacy and Health Disparities. Chicago: American Medical Association; Available from: http://citeseerx.ist/psuedu/viewdoc/downloaddoi=10111753131&rep=rep1&type=pdf
  19. , , , . Public experiences, knowledge and expectations about medical genetics and the use of genetic information. Community Genet. 2004;7:33-43.
    [Google Scholar]
  20. , , . Knowledge about genes and heredity among Finns. New Genet Soc. 1999;18:101-10.
    [Google Scholar]
Show Sections
Scroll to Top