Abstract
Accurate public perceptions on the risk factors associated with cancer are important in promoting primary, secondary, and tertiary prevention. Limited studies have explored this topic among patients with cancer in non-western, low-to-middle-income countries. A cross-sectional survey to compare Australian and Vietnamese cancer patients’ perceptions of what caused their cancer was undertaken. Adult, patients with cancer from both countries, receiving radiotherapy treatment completed a standardized survey, which included a 25-item module assessing their beliefs on the causes of their cancer. Items ranged from known evidence-based causes (eg, smoking, sun exposure) to non-evidence-based beliefs (eg, stress or anxiety, physical injury, or trauma). Country-specific logistic regression analyses were conducted to identify differences in the determinants of patients’ top perceived causes. A total of 585 patient surveys were completed (75% response rate; 285 from Australia, and 300 from Vietnam). Most patients were male (58%) and aged 60 years and older (55%). The most frequently reported risk factor overall and for the Australian sample was “getting older” (overall = 42%, Australia = 49%, and Vietnam = 35%). While the most frequently reported risk factor for the Vietnamese sample was “poor diet” (overall = 39%, Australia = 11%, and Vietnam = 64%). There were differences in the characteristics associated with the top causes of cancer identified by Australian and Vietnamese patients. Patients’ beliefs about what may have caused their cancer are complex and likely to be impacted by multiple factors, including the country from which they reside. Developing public awareness campaigns that are accurate and tailored to address the specific beliefs and possible misconceptions held by the target community are needed.
Keywords: Vietnam, Australia, cancer control, cancer risk, cancer communication
Introduction
Cancer has traditionally been considered a disease affecting predominately higher income countries. However, incidence rates are rapidly increasing in non-Western countries, with almost 50% of all cancer cases in 2018 occurring in Asia.1 The burden of cancer is also becoming disproportionally high in low-to-middle income countries, with more than two-thirds of cancer deaths occurring in these regions,2 and a high proportion of the cancers from these regions diagnosed at an advanced stage.3 Efforts are required to help reduce the burden of cancer, particularly in low-to-middle income countries.
A large proportion of cancers are preventable. It has been estimated that a third of all worldwide cancer deaths have been attributed to lifestyle risk factors, including excess weight, low vegetable and fruit consumption, lack of physical activity, tobacco, and alcohol use.4 Early detection through routine screening and recognition of common cancer symptoms can help to reduce mortality and cancer-related burden.3 However, reducing the burden of cancer through lifestyle changes, early detection, and treatment requires individuals to understand the risk factors associated with the development of cancer. Previous research has identified that intentions to participate in cancer screening and healthy lifestyle behaviors are related to a person’s knowledge of cancer risk factors.5-8 Unfortunately, previous survey studies have found that people’s understanding of many cancer-related risk factors is modest to low.6,9-18 Such studies have also found that awareness of cancer risk factors varied according to sociodemographic characteristics,12,16-21 including country.13,22,23 Improving understanding of the risk factors associated with cancer among both patients with cancer and the general public is important for both primary, secondary, and tertiary prevention.
The first step in improving people’s understanding of cancer-related risk factors involves identifying the factors people believe causes their cancer; as well as any misconceptions that may exist in these perceptions. Such knowledge will allow for more targeted and tailored public health campaigns to be developed that specifically address people’s misconceptions. It will also help to inform communication and information provision on cancer risk by health-care providers to their patients. Numerous studies have been conducted that explore public perceptions of risk factors associated with cancer.6,9-17,19-23 While these studies identify some of the most common misconceptions related to cancer risk factors, most have been conducted in Western and/or high-income countries.6-9,11-19,21-23 Given vast differences in cultural beliefs and cancer etiology that exist between non-Western and Western countries, and low-to-middle income and high-income countries, such information is unlikely to be relevant to these populations.
Studies that aim to explore the perceptions of cancer causes among patients with cancer in non-Western and low-to-middle-income countries are needed. Furthermore, comparative studies that explore differences between Western and non-Western countries would be beneficial, as they would assist in identifying where such differences in perceptions lie and whether and how already available public health campaigns and information interventions used in other countries may be adapted and generalized across countries.
We sought to improve the knowledge base in this area by exploring (a) the most frequently perceived causes of cancer in a sample of patients with cancer from Australia and Vietnam; (b) whether the most frequently perceived causes differ between country; and (c) differences in the possible determinants of the most frequently perceived cause of cancer identified by Australian and Vietnamese patients with cancer. We chose to focus on Australia and Vietnam as these two countries represent two culturally and economically diverse countries. Australia is a high-income, Western country with an individualist culture. While Vietnam is a non-Western, lower middle-income nation, with a strong Eastern heritage underpinned by a predominantly collectivist culture. Furthermore, we chose to explore the perceptions of patients with cancer rather than the general population as those already diagnosed with cancer are likely to have been exposed to some form of information regarding possible risk factors related to their diagnosis, thus any misconceptions they hold are likely to be the most relevant to campaigns targeting primary, secondary, and tertiary preventions.
Aims
The overall objective of this study was to explore the differences between Australian and Vietnamese cancer patients’ beliefs on what may have caused their cancer. Specifically, we sought to explore the following:
The most frequently perceived causes of patients’ cancer, overall and stratified by country;
whether the most frequently perceived causes differ between country; and
differences in the possible determinants of the most frequently perceived cause of cancer identified by Australian and Vietnamese patients with cancer.
Methods
Study Design
Descriptive cross-sectional survey of patients with cancer from radiation oncology clinics in Australia and Vietnam.
Sample
Patients were eligible to participate if they had a confirmed cancer diagnosis of any cancer type, were aged 18 years or older for Australia, or 21 years or over for Vietnam (due to variation between countries in what constitutes an adult), able to understand the main language spoken in each country, physically and mentally able to give informed consent and complete the survey, and presenting for at least their second appointment at the radiotherapy clinic to ensure they had received some care from the clinic to be able to answer survey questions relating to the quality of their cancer care.
Procedure
Participants were recruited from one regional radiotherapy clinic in Australia and one specialist cancer hospital in Vietnam. A research assistant was present in each of the clinics on selected days, where they recruited consecutive patients with cancer meeting the eligibility criteria. Eligible patients were approached by a research assistant or clinic staff member at the clinic while waiting for their appointment and provided with a study consent form and information sheet. Consenting patients were invited to complete a survey. All participants who took part in the study provided consent. The survey was completed by participants via pen-and-paper survey in Australia and via a face-to-face structured interview with a research assistant in Vietnam. These approaches of data collection were determined to be the most culturally appropriate modes of delivery for the two countries. Reimbursement of 100 000 Vietnamese Dong was provided to Vietnamese (approximately A$5) patients for their participation in the study. Patients were asked about various aspects of their cancer care and well-being, including their perceptions on what they believe contributed to the cause of their cancer. The study procedures and items assessing sociodemographic and clinical characteristics were pilot-tested and amended where appropriate in both Australia (n = 48) and Vietnam (n = 40) prior to conducting the study. Human research ethics approval was granted for the conduct of this study by the relevant organizations in Australia (University of Newcastle Human Research Ethics Committee approval number: H-2013-0016) and Vietnam (K Hospital Ethics Committee approval number: 17/QD-BVK).
Measures
Outcome measures
Views about the causes of cancer
Twenty-five items adapted from Willcox et al24 explored patient beliefs about what may have caused their cancer (see Table 2 for a full list of items). The survey was developed based on evidence from the literature and piloted among experts in cancer control and behavioral science from Australia and Vietnam. Items ranged from known evidence-based causes (eg, smoking, sun exposure) to non-evidence-based beliefs (eg, stress or worry, injury, or physical trauma). Participants were asked to respond on a 5-point Likert scale, with response options (similar to that used in US-based studies of cancer causal attributions25) ranging from 1 = definitely did not contribute, 2 = small chance it contributed, 3 = reasonable chance it contributed, 4 = certain it contributed, and 5 = do not know. An open-ended response was also included, where patients could list any other perceived causes of their cancer that were not listed.
Table 2.
Most Frequently Reported Causes of Cancer for all Patients and by Country in Ranked Order.
Overall rank | Rank Australia |
Rank Vietnam | Reason | All respondent, % (n) | Australian Respondents, % (n) |
Vietnamese Respondents, % (n) |
---|---|---|---|---|---|---|
1 | 1 | 10 | Getting older | 42 (232) | 49 (130) | 35 (102) |
2 | 11 | 1 | Poor diet | 39 (215) | 11 (30) | 64 (185) |
3 | 10 | 2 | Air pollution | 38 (210) | 12 (32) | 61 (178) |
4 | 3 | 5 | Bad luck or fate | 37 (205) | 27 (71) | 47 (134) |
5 | 7 | 6 | Smoking | 30 (165) | 15 (39) | 44 (126) |
6 | 16 | 3 | Pesticides | 30 (163) | 10 (27) | 49 (136) |
7 | 14 | 4 | Food additives/preservatives | 29 (160) | 11 (28) | 47 (132) |
8 | 4 | 13 | Sun exposure | 27 (153) | 24 (66) | 30 (87) |
9 | 12 | 7 | Drinking too much alcohol | 26 (142) | 11 (29) | 41 (113) |
10 | 15 | 9 | The will of God or the universe | 25 (138) | 11 (28) | 38 (110) |
11 | 6 | 11 | Poor lifestyle choices caused by worry or stress (eg, smoking because if reduced my level of stress) | 24 (128) | 15 (38) | 32 (90) |
12 | 2 | 19 | Family history or genes | 23 (128) | 33 (89) | 14 (39) |
13 | 5 | 15 | Stress or worry (eg, about money or relationships) | 22 (120) | 17 (46) | 25 (74) |
14 | 22 | 8 | Exposure to chemicals (in the home, environmental, or workplace) | 22 (123) | 3.70 (10) | 39 (113) |
15 | 17 | 12 | Lack of exercise | 21 (117) | 9.26 (25) | 32 (92) |
16 | 9 | 14 | Working hours (eg, long hours, irregular hours, or shift work) | 20 (113) | 14 (39) | 26 (74) |
17 | 13 | 16 | Being overweight | 14 (59) | 11 (29) | 17 (47) |
18 | 23 | 17 | Hormone medication (eg, hormone replacement therapy or “the pill”) | 11 (59) | 3.36 (9) | 17 (50) |
19 | 25 | 18 | Reproductive or hormonal history (eg, not having children, fertility treatments) | 8.6 (48) | 2.00 (5) | 15 (43) |
20 | 20 | 21 | Mental illness (eg, anxiety, depression) | 8.6 (48) | 4.06 (11) | 13 (37) |
21 | 26 | 20 | Over the counter medication | 7.0 (39) | 0.37 (1) | 13 (38) |
22 | 19 | 24 | Use of electronic devices (eg, mobile phone, microwave oven) | 6.7 (37) | 5.56 (15) | 7.7 (22) |
23 | 21 | 22 | Prescribed medication | 6.4 (36) | 4.03 (11) | 8.7 (25) |
24 | 18 | 25 | Infections | 6.2 (34) | 5.77 (15) | 6.6 (19) |
25 | 24 | 23 | Injury or physical trauma (eg, car accident, falling off a horse) | 5.2 (29) | 2.60 (7) | 7.7 (22) |
Independent measures
Demographic characteristics
Standard demographic items assessed age, gender, marital status, years of education, employment status, and health insurance for hospital care.
Cancer-related characteristics
Items assessed cancer type, time since diagnosis, radiotherapy treatment progress, treatments received, living away from home to receive treatment, number of appointments with the clinician, and reason for the visit to the clinic.
Survey translations
The survey was administered in English for Australian participants and in Vietnamese for participants recruited in Vietnam. The original survey was written in English. A forward and backward translation process was undertaken for the Vietnamese version. The backward translation was reviewed by study investigators native in the English language to ensure the content of the questions were correctly portrayed. Content that was believed to misrepresent the intended meaning of the question was retranslated and underwent subsequent rounds of backward–forward translation until the meaning was correct and consistent between the two study surveys.
Statistical Analyses
The Most Frequently Perceived Causes of Patients’ Cancer
To identify which possible causes patients believed may have contributed to the development of their cancer and where differences in the identified risks differ between the two countries, each of the 25 items were dichotomized into “certain it contributed/reasonable chance it contributed” versus “small chance it contributed/definitely did not contribute/don’t know.” The percentage and frequency of each of the 25 items were calculated and ranked in descending order for patients overall, as well as by country.
Differences in the Determinants of the Top Perceived Cause of Cancer by Both Sample Groups
To identify potential sociodemographic and disease characteristics associated with the most frequently reported cause of cancer identified by Australian and Vietnamese patients and whether such determinants differed between the two samples, separate univariate logistic regression models were conducted by the country, for the most frequently reported cause of cancer by Australian and Vietnamese patients. The main outcome was “certain it contributed/reasonable chance it contributed” versus “small chance it contributed/definitely did not contribute/don’t know.” The following sociodemographic and disease characteristics were explored as possible determinants as they were hypothesized as being related to patient perceptions in both countries: cancer type, time since diagnosis, employment status, years of education, age group and sex. As this was an exploratory analysis with the purpose of identifying possible determinants, and suitable confounders are not yet known given the lack of prior research in this area, only univariate regressions models were conducted to reduce misinterpretation of the estimates.
Results
A total of 512 eligible Australian patients were identified and approached about the study; of which 381 consented to take part (consent rate = 74%) and 285 returned a completed survey (response rate = 56%). From Vietnam, 319 eligible patients were identified and invited to take part in the study, of which 300 consented and completed a survey via interview (response and consent rate = 94%).
Participant Disease and Demographic Characteristics
Table 1 lists the demographic and disease characteristics of participants by country. The median age of all participants was 61 years (IQ1: 52, IQ3: 69). The majority of all participants were male (58%; n = 339), in a partnered relationship (82%; n = 477), diagnosed with head and neck cancer (32%; n = 183) at a median time of 4 months ago (IQ1: 2, IQ3: 8). As shown in Table 1, there were significant differences between Australian and Vietnamese participants for the following characteristics: age group at diagnosis, marital status, years of education, employment status, time since diagnosis, cancer type and insurance cover for hospital care.
Table 1.
Participant Disease and Demographic Characteristics.
Characteristic | Australian sample, n (%) (n = 285) |
Vietnamese sample, n (%) (n = 300) |
χ2 Results |
---|---|---|---|
Sex | 3.30 (1), P = .069 |
||
Male | 176 (62%) | 163 (54%) | |
Female | 109 (38%) | 137 (46%) | |
Age group (years) | 150.16 (2), P < .001a |
||
Less than 50 years | 15 (5.3%) | 107 (36%) | |
50-59 years | 40 (14%) | 99 (33%) | |
60 years and over | 227 (81%) | 93 (31%) | |
Marital status | 44.54 (1), P < .001a |
||
Partnered relationship | 201 (71%) | 276 (92%) | |
Single | 82 (29%) | 23 (7.695) | |
Education | 21.52 (1), P < .001a |
||
Less than 13 years | 231 (87%) | 210 (71%) | |
13 years or more | 35 (13%) | 87 (29%) | |
Employment status | 128.47 (1), P < .001a |
||
Currently working | 42 (15%) | 180 (61%) | |
Not working | 241 (85%) | 117 (39%) | |
Cancer type | 88.63 (2), P < .001a |
||
Breast | 61 (22%) | 38 (13%) | |
Lung | 14 (5.1%) | 49 (16%) | |
Head and neck | 48 (18%) | 135 (45%) | |
Other | 150 (55%) | 77 (26%) | |
Time since diagnosis | 36.13 (2), P < .001a |
||
0 to 6 months | 156 (57%) | 237 (80%) | |
7 to 12 months | 79 (29%) | 47 (16%) | |
More than 12 months | 38 (14%) | 13 (4.38%) | |
Insurance cover for hospital care | 86.92 (1), P < .001a |
||
Yes | 142 (50%) | 257 (86%) | |
No | 140 (50%) | 41 (14%) |
aSignificant at p < 0.05.
Most Frequently Reported Causes of Cancer
Most participants (91.1%, n = 533) identified at least 1 of the listed causes as a possible cause of their cancer, with 79% (n = 464) selecting 2 or more of the causes listed. Table 2 illustrates the percentage and frequency of participants choosing each of the 25 items as a “reasonable/certain” cause of their cancer, across all participants and by country. Overall, the most frequently reported perceived causes of cancer was “getting older” (42%, n = 232), followed by “poor diet” (39%, n = 215), “air pollution” (38%, n = 210), “bad luck or fate” (37%, n = 205), “smoking” (30%, n = 165), and “pesticides” (30%, n = 163).
Only 3 “reasonable/certain” causes were endorsed by at least a quarter of the Australian respondents (also see Table 2), with “getting old” (49%, n = 130), “family history or genes” (33%, n = 89), and “bad luck or fate” (27%, n = 71) being the most frequently identified causes of cancer reported by the Australian sample. Fifteen “reasonable/certain” causes were endorsed by at least a quarter of the Vietnamese respondents, with “poor diet” (64%, n = 185), “air pollution” (61%, n = 178), and “pesticides” (49%, n = 136) being the 3 most frequently reported causes of cancer among these participants.
Characteristics Associated With the Top Identified Causes of Cancer by Australian and Vietnamese Patients
Getting older
Getting older was identified most frequently by Australian patients as a reasonable/certain cause of their cancer. As shown in Table 3, sex and age group were both significantly associated with “getting older” being identified as a “reasonable/certain” cause of both Australian and Vietnamese patients’ cancer. For both samples, males reported statistically significantly higher odds of selecting perceiving getting older as a likely cause of their cancer compared to females. While those aged 60 years and older had statistically significantly higher odds of perceiving getting older as a cause of their cancer compared to those aged less than 60 years. Comparatively, cancer type was statistically significantly associated with Australian patients with cancer selecting getting older as a cause of their cancer, but not Vietnamese patients, with Australian patients diagnosed with other cancer type reporting statistically significantly higher odds than those diagnosed with breast cancer. While years of education was significantly associated with Vietnamese patients identifying getting older as a cause of their cancer but not Australian patients; with Vietnamese patients with 13 years or more of education reporting lower odds compared to those with less than 13 years of education.
Table 3.
Results From Univariate Logistic Regression models Identifying Characteristics Associated With the Top-Perceived Cause of Cancer of Australian and Vietnamese patients with Cancer.
n (Total) n (% with Outcome) |
Unadjusted Odds Ratio (OR) | 95% Confidence Interval (CI) | Likelihood Ratio P Value | |
---|---|---|---|---|
Getting older: Australian sample | ||||
Time since diagnosis | 253 (total) | .755 | ||
0 to 6 months | 71 (49%) | Reference | ||
7 to 12 months | 35 (49%) | 1.03 | 0.58-1.81 | |
More than 12 months | 20 (56%) | 1.32 | 0.63-2.75 | |
Sex | 265 (total) | <.001 | ||
Female | 33 (32%) | Reference | ||
Male | 97 (60%) | 3.07 | 1.83-5.17 | |
Cancer type | 254 (total) | .007 | ||
Breast | 19 (32%) | Reference | ||
Lung | 6 (43%) | 1.62 | 0.49-5.32 | |
Head and neck | 20 (48%) | 1.96 | 0.87-4.43 | |
Other | 81 (59%) | 3.07 | 1.62-5.82 | |
Years of education | 249 (total) | .715 | ||
Less than 13 years | 110 (50%) | Reference | ||
13 years or more | 14 (47%) | 0.87 | 0.40-1.86 | |
Employment | 264 (total) | .173 | ||
Currently working | 16 (39%) | Reference | ||
Not working | 113 (51%) | 1.61 | 0.81-3.17 | |
Age group | 262 (total) | <.001 | ||
Less than 60 years | 14 (27%) | Reference | ||
60 years and over | 114 (54%) | 3.22 | 1.65-6.30 | |
Getting older: Vietnamese sample | ||||
Time since diagnosis | 288 (total) | .243 | ||
0 to 6 months | 86 (37%) | Reference | ||
7 to 12 months | 11 (24%) | 0.54 | 0.26-1.12 | |
More than 12 months | 4 (31%) | 0.74 | 0.22-2.49 | |
Sex | 289 (total) | .003 | ||
Female | 34 (26%) | Reference | ||
Male | 68 (43%) | 2.16 (1.31-3.56) | ||
Cancer type | 288 (total) | .067 | ||
Breast | 6 (17%) | Reference | ||
Lung | 21 (47%) | 4.23 | 1.47-12.16 | |
Head and neck | 48 (36%) | 2.70 | 1.05-6.96 | |
Other | 27 (36%) | 2.78 | 1.02-7.54 | |
Years of education | 287 (total) | .001 | ||
Less than 13 years | 84 (41%) | Reference | ||
13 years or more | 17 (20%) | 0.36 (0.20-0.66) | ||
Employment | 286 (total) | .301 | ||
Currently working | 57 (33%) | Reference | ||
Not working | 44 (39%) | 1.30 | 0.79-2.13 | |
Age group | 288 (total) | .001 | ||
Less than 60 years | 58 (29%) | Reference | ||
60 years and over | 44 (49%) | 2.38 | 1.42-3.98 | |
Poor diet: Australian sample | ||||
Time since diagnosis | 256 (total) | .007 | ||
0 to 6 months | 13 (8.8%) | Reference | ||
7 to 12 months | 6 (8.2%) | 0.92 | 0.34-2.54 | |
More than 12 months | 10 (28%) | 3.96 | 1.57-10.00 | |
Sex | 268 (total) | .515 | ||
Female | 20 (12%) | Reference | ||
Male | 10 (9.6%) | 1.31 | 0.59-2.91 | |
Cancer type | 257 (total) | .635 | ||
Breast | 4 (6.7%) | Reference | ||
Lung | 2 (14%) | 2.33 | 0.38-14.23 | |
Head and neck | 6 (14%) | 2.21 | 0.58-8.36 | |
Other | 17 (12%) | 1.95 | 0.63-6.06 | |
Years of education | 253 (total) | .658 | ||
Less than 13 years | 22 (10%) | Reference | ||
13 years or more | 4 (13%) | 1.29 | 0.41-4.03 | |
Employment | 267 (total) | .789 | ||
Currently working | 4 (10%) | Reference | ||
Not working | 26 (11%) | 1.16 | 0.38-3.54 | |
Age group | 265 (total) | .049 | ||
Less than 60 years | 10 (19%) | Reference | ||
60 years and over | 20 (9.4%) | 0.44 | 0.19-1.00 | |
Poor diet: Vietnamese sample | ||||
Time since diagnosis | 289 (total) | .378 | ||
0 to 6 months | 145 (63%) | Reference | ||
7 to 12 months | 29 (62%) | 0.94 | 0.49-1.80 | |
More than 12 months | 10 (83%) | 2.93 | 0.63-13.69 | |
Sex | 290 (total) | <.001 | ||
Female | 67 (50%) | Reference | ||
Male | 118 (75%) | 2.98 | 1.81-4.90 | |
Cancer type | 289 (total) | .078 | ||
Breast | 22 (59%) | Reference | ||
Lung | 31 (69%) | 1.51 | ||
Head and neck | 93 (70%) | 1.59 | ||
Other | 39 (53%) | 0.76 | ||
Years of education | 288 (total) | .66 | ||
Less than 13 years | 130 (64%) | Reference | ||
13 years or more | 53 (62%) | 0.89 | 0.53-1.50 | |
Employment | 287 (total) | .669 | ||
Currently working | 108 (62%) | Reference | ||
Not working | 74 (65%) | 1.11 | 0.68-1.82 | |
Age group | 289 (total) | .601 | ||
Less than 60 years | 130 (65%) | Reference | ||
60 years and over | 55 (62%) | 0.87 | 0.52-1.46 |
Poor diet
Poor diet was identified most frequently by Vietnamese patients as a ‘reasonable/certain cause’ of their cancer. As shown in Table 3, none of the possible determinants identified were similar between the two samples. For the Australian sample time since diagnosis and age group were found to be statistically significantly associated with patients selecting poor diet as a cause of their cancer. Specifically, Australian patients diagnosed more than 12 months ago reported statistically higher odds of selecting poor diet compared to those diagnosed less than 6 months ago; while those 60 years and over reported statistically significantly lower odds of selecting poor diet as a cause of their cancer compared to those aged less than 60 years. Comparatively, for the Vietnamese sample, only sex was found to be statistically significantly associated with patients selecting poor diet as a cause of their cancer, with males reporting statistically significantly higher odds than female patients.
Discussion
This is one of the first studies to explore and compare the perceived causes of cancer of patients from Australia and Vietnam. This study provides important information that could be used to help improve public health initiatives aimed at increasing patients’ cancer-related knowledge and potentially influencing their health behaviors.
Overall, getting older, poor diet, and air pollution were the 3 most frequently identified perceived causes of their cancer. Of these top concerns, two are environmental or biological (eg, age and pollution) rather than behavioral. Comparatively, other commonly recognized behavioral risk factors, such as smoking (ranked 5 overall, 7 by Australian sample, and 6 for Vietnamese sample) and alcohol consumption (ranked 9 overall, 12 by Australian sample, and 7 by Vietnamese sample), ranked lower, despite the empirical support for their association with the development of high incident cancers, such as lung cancer, in both countries.
When stratified by country, the top reported causes of cancer were different. For instance “getting old,” “family history or genes,” and “bad luck or fate” were the 3 most frequently selected causes of cancer by Australian patients but were ranked only 10th, 19th, and 5th (respectively) by Vietnamese patients. Both age and family history are evidence-based risk factors associated with many types of cancer3 and thus may explain why Australian patients view these items as top causes of their cancer as such risk factors are heavily publicized in the Australian media. Comparatively, despite “bad luck or fate” being the third most frequently perceived cause of cancer by patients from Australia, it should be noted that a higher percentage of Vietnamese participants selected bad luck or fate (47%) as a possible cause of their cancer compared to Australian patients (27%). These data suggest that a substantial proportion of both Australian and Vietnamese patients hold fatalistic beliefs toward the development of their cancer. This is of concern as perceiving a lack of control over one’s health may impact on a patients willingness to engage in essential health behaviors and influence their decisions relating to treatments and/or care.26,27 It is thus important that public health campaigns are developed to help educate people globally, about the potential risk factors associated with developing cancer and highlight the importance that an individual’s health behavior can play in the prevention, early diagnosis, and treatment of cancer. However, further research is needed to explore the role of these fatalistic beliefs among patients with cancer and whether this may help with adjusting to, coping with, and avoiding self-blame in relation to their diagnosis.28-30
For patients from Vietnam, “poor diet”, “air pollution”, and “pesticides” were identified as the most frequently perceived causes of cancer, which were ranked 11th, 10th, and 16th in the Australian sample. Diet plays a central role in Vietnamese culture, with strong beliefs relating to the importance of diet and health. Maintaining a balance in yang through diet is seen as vital to maintaining good health and treating illness in traditional Vietnamese culture, while an imbalance in “hot” (yang) and “cold” (yin) foods can lead to illness and disease.31 Given the cultural belief that diet is directly and strongly linked to health, it is not surprising that “poor diet” was viewed as a cause of cancer by most Vietnamese patients. Furthermore, “poor diet” may also have been interpreted as being related to poor food safety, which is a well-recognized and highly publicized issue in Vietnam.32 Similarly, air pollution33,34 pesticide use and chemical exposure35,36 are all publicized and well-recognized public health issues in Vietnam. Comparatively, such issues are not experienced to the same level in Australia and thus not as great of a concern. The high publicity of such issues is likely to influence patients’ perceptions of the impact such factors have had to their health and well-being, which may explain the differences in rankings of these risk factors between the two countries.
When exploring possible determinants of the top identified causes of cancer by Australian and Vietnamese patients with cancer, differences in the possible determinants were found between the two countries. The risk factor “getting older” was selected as the top perceived cause of cancer by Australian patients with cancer. Sex and age group were consistently identified in both the Australian and Vietnamese sample as significantly associated with patients with cancer selecting this possible cause. Comparatively, cancer type was identified as a possible determinant in the Australian sample only and years of education as a possible determinant in the Vietnamese sample only. Surprisingly, Vietnamese patients with a higher number of years of education reported lower odds of identifying older age as a possible cause of their cancer, despite this being a well-established, evidence-based risk factor for a wide variety of cancer types. This finding highlights the importance of educating all patients with cancer and the broader community on the risk factors related to cancer, despite their education level. “Poor diet” was selected as the top perceived cause of cancer by Vietnamese patients with cancer. There were no consistent determinants identified in the two samples. In the Australian sample, time since diagnosis and age group were identified as possible determinants. Sex was the only possible determinant identified in the Vietnamese sample. These findings highlight the difficulties of transferring established evidence-based public health campaigns used in Western countries and applying them directly to other, non-Western countries such as Vietnam, as tailoring to the priority groups that are often characteristic of such campaigns may not be as relevant in other countries.
Implications for Cancer Education
This study provides important information regarding what patients from Australia and Vietnam perceive contribute to the cause of their cancer, which can be used to inform future research, public health campaigns, and clinical practice. Firstly, public health campaigns that aim to empower patients and the general community on taking control of their health are suggested. Such campaigns could aim to address fatalistic views and emphasize the array of behaviors that people can engage in to help prevent, detect, and treat cancer.
Second, the stark differences in the top-ranked causes of cancer by Vietnamese and Australian patients with cancer highlight that public health campaigns need to be tailored to address specific cultural beliefs of the community for which they are being delivered. It also emphasizes that campaigns found to be effective at addressing health misconceptions in Western cultures may not be easily transferred to different countries, as we cannot assume that they are relevant or appropriate to non-Western countries. Furthermore, the differences we found in the potential determinants of patients’ beliefs emphasize that we cannot assume that such determinants are universal and generalizable across situations and countries. Given these data, it is suggested that all public health campaigns, particularly those addressing people’s beliefs, should be designed to be specific to the population for which they are intended to be delivered. Future research that extends on these findings is needed in order to further unpack the complexities of patients’ beliefs of the causes of their cancer and how they may be influenced by country. Furthermore, future research assessing the views of the general population is needed. Such research will help provide more specific directions on how to design future public health campaigns designed to address people’s knowledge about cancer risk factors.
Strengths and Limitations
This is the only study we are aware of that explores and compares Vietnamese and Australian cancer patients’ perceptions about the possible causes of their cancer. The high consent rates (>70%) and thorough backward–forward translation of study materials are strengths of this study. However, despite these strengths, there are several limitations that must be considered when interpreting the results of this study. Firstly, differences in several study design features (eg, survey administration methods, participation incentives, and eligibility criteria) may have affected the comparability of these two samples and potentially introduced bias in patient responses. Although biases may have been introduced as a result of using different methods such as mode of survey delivery,37 utilizing the most culturally appropriate data collection methods was deemed most important than maintaining consistency between the two samples. A systematic review has found that the mode of survey delivery does not result in bias in patient-reported responses, although the setting may introduce some bias (ie, home vs clinic).38 Furthermore, utilizing the same but culturally inappropriate modes of survey delivery may emphasize cultural differences and bias.37 However, we did attempt to reduce such differences as much as possible by only employing modifications to the study design that were necessary due to country-specific requirements and maintaining consistency wherever possible.
This study only presents quantitative data concerning cancer patients’ perceptions regarding the possible causes of cancer. Consequently, we were unable to investigate in-depth patients’ beliefs and the underlying concepts surrounding their beliefs that may assist in future education and cancer awareness initiatives. Thus, it is recommended that future studies use mixed methods to investigate cancer patients’ perceptions surrounding the causes of their cancer. The focus of this research was on cancer patients’ beliefs about the causes of their own cancer, rather than more population perceptions of causes of cancer. When making these causal attributions, patients with cancer may have been more likely than the general public to focus on non-modifiable or fatalistic causes as a strategy to reduce feelings of guilt and self-blame.28-30
In addition, the patient samples were recruited from only a selected number of treatment centers, which will limit the generalizability of the study results. While focusing on a sample of patients with cancer was thought to identify where the most common misconceptions of the causes of cancer may lie, as such a sample is assumed to have been exposed to an abundance of information concerning cancer, these data cannot be assumed to generalize to the broader noncancer population. Future research is needed to explore the Australian and Vietnamese community perceptions regarding the causes of cancer. Finally, this study was an exploratory study designed only to explore possible differences in patients’ beliefs and determinants regarding their perceived causes of their cancer. Due to the exploratory nature, it was not possible to assess all possible differences in determinants across all patient’s beliefs. Future study should use the information we have gained here and design larger studies that are powered and designed to investigate the causal factors of patient’s beliefs.
Conclusions
Patient’s beliefs about what may have caused their cancer are complex and likely to be impacted by multiple factors. However, patient’s beliefs do seem to differ across countries. When educating people about the risk factors associated with cancer, it is important that such factors are considered and used to tailor such initiatives toward patient specific characteristics. Ensuring that patients hold accurate beliefs about cancer-related risk factors is essential. Being aware of the issues that are being highly publicized in the media may assist health-care providers in addressing any misconceptions that patients may hold.
Footnotes
Authors’ Note: This study received Human Research Ethics Approval from the University of Newcastle (reference number: H-2013-0016) and National Cancer institute Hanoi Human Research Ethics Committee (reference number: 17/QD-BVK). The findings result from an ongoing collaboration between members of the Australasian Collaborative Cancer Care Study; specifically:
Australia | Laureate Prof Rob Sanson-Fisher | University of Newcastle |
Dr Mariko Carey | University of Newcastle | |
Dr Flora Tzelepis | University of Newcastle | |
Dr Natasha Noble | University of Newcastle | |
Dr Lisa Mackenzie | University of Newcastle | |
Dr Alison Zucca | University of Newcastle | |
Prof David Hill | University of Melbourne | |
Prof Ian Olver | Cancer Council Australia | |
Japan | Dr Megumi Uchida | Nagoya City University Hospital |
Dr Toru Okuyama | Nagoya City University Hospital | |
Prof Tatsuo Akechi | Nagoya City University Hospital | |
Prof Masakazu Toi | Kyoto University Hospital | |
Prof Misahiro Hiraoka | Kyoto University Hospital | |
Assistant Prof Eiji Suzuki | Kyoto University Hospital | |
Assistant Prof Michio Yoshimura | Kyoto University Hospital | |
South Korea | Dr Jong-Hyock Park | National Cancer Centre |
Dr Boram Park | National Cancer Centre | |
Dr So Young Kim | National Cancer Centre | |
Vietnam | Dr Alix Hall | University of Newcastle |
Dr Tran Thanh Huong | National Cancer Institute; Hanoi Medical University | |
Professor Tran Van Thuan | National Cancer Hospital | |
Dr Nguyen Minh Sang | Hanoi Medical University |
Declaration of Conflicting Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Funding: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work has been funded by a New South Wales Cancer Council STREP grant and an HMRI HICS Services and Ord Minnett grant; and Dr Alix Hall’s 2012 Prime Minister’s Australia Asia Endeavour Award. Sang M Nguyen was supported by a VECD Global Health Fellowship, funded by the National Cancer Institute (NCI) and the Fogarty International Center (FIC) of the NIH (D43 TW009337). The views expressed are solely those of the authors and do not necessary represent the views of the NIH.
ORCID iD: Alix Hall, BPsych (Hons) PhD
https://orcid.org/0000-0002-1043-6110
References
- 1. Bray F, Ferlay J, Soerjomataram I, Siegel R, Torre L, Jemal A. Global Cancer Statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA:Cancer J Clin. 2018;68(6):394–424. [DOI] [PubMed] [Google Scholar]
- 2. World Health Organisation (WHO). Global status report on noncommunicable diseases 2014 Geneva, Switzerland: WHO;2014. [Google Scholar]
- 3. International Agency for Research on Cancer (IARC). World cancer report 2014 World Health Organisation (WHO) Geneva, Switzerland: (IARC); 2014. [Google Scholar]
- 4. World Health Organization (WHO). Cancer. 2012. http://www.who.int/mediacentre/factsheets/fs297/en/ Accessed November 2012.
- 5. Gimeno-Garcia A, Quintero E, Nicolas-Perez D, Jimenez-Sosa A. Public awareness of colorectal cancer and screening in a Spanish population. Public Health. 2011;125(9):609–615. [DOI] [PubMed] [Google Scholar]
- 6. McCaffery K, Wardle J, Waller J. Knowledge, attitudes, and behavioral intentions in relation to the early detection of colorectal cancer in the United Kingdom. Prev Med. 2003;36(5):525–535. [DOI] [PubMed] [Google Scholar]
- 7. Keighley M, O’Morain C, Giacosa A, et al. Public awareness of risk factors and screening for colorectal cancer in Europe. Eur J Cancer Prev. 2004;13(4):257–262. [DOI] [PubMed] [Google Scholar]
- 8. Hawkins N, Berkowitz Z, Peipins L. What does the public know about preventing cancer? results from the Health Information National Trends Survey (HINTS). Health Educ Behav. 2010;37(4):490–503. [DOI] [PubMed] [Google Scholar]
- 9. Hooper L, Anderson A, Birch J, et al. Public awareness and healthcare professional advice for obesity as a risk factor for cancer in the UK: a cross-sectional survey. JPublic Health. 2017;40(4):797–805. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. El Rhazi K, Bennani B, El Fakir S, et al. Public awareness of cancer risk factors in the Moroccan population: a population-based cross-sectional study. BMC Cancer. 2014;14:695. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Breslow R, Sorkin J, Frey C, Kessler L. Americans’ knowledge of cancer risk and survival. Prev Med. 1997;26(2):170–177. [DOI] [PubMed] [Google Scholar]
- 12. Grunfeld E, Ramirez A, Hunter M, Richards M. Women’s knowledge and beliefs regarding breast cancer. Br JCancer. 2002;86(9):1373–1378. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Lagerlund M, Hvidberg L, Hajdarevic S, et al. Awareness of risk factors for cancer: a comparative study of Sweden and Denmark. BMC Public Health. 2015;15:1156. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. MacTiernan A, Fritschi L, Slevin T, Jalleh G, Donovan R, Heyworth J. Public perceptions of cancer risk factors: a Western Australian study. Health Promot J Austr. 2014;25(2):90–96. [DOI] [PubMed] [Google Scholar]
- 15. Redeker C, Wardle J, Wilder D, Hiom S, Miles A. The launch of Cancer Research UK’s ‘Reduce the Risk’ campaign: baseline measurements of public awareness of cancer risk factors in 2004. Eur J Cancer. 2009;45(5):827–836. [DOI] [PubMed] [Google Scholar]
- 16. Sanderson S, Waller J, Jarvis M, Humphries S, Wardle J. Awareness of lifestyle risk factors for cancer and heart disease among adults in the UK. Patient Educ Couns. 2009;74(2):221–227. [DOI] [PubMed] [Google Scholar]
- 17. Simon A, Juszczyk D, Smyth N, et al. Knowledge of lung cancer symptoms and risk factors in the UK: development of a measure and results from a population-based survey. Thorax. 2012;67(5):426–432. [DOI] [PubMed] [Google Scholar]
- 18. Wardle J, Waller J, Brunswick N, Jarvis M. Awareness of risk factors for cancer among British adults. Public Health. 2001;115(3):173–174. [DOI] [PubMed] [Google Scholar]
- 19. Hvidberg L, Pedersen A, Wulff C, Vedsted P. Cancer awareness and socio-economic position: results from a population-based study in Denmark. BMC Cancer. 2014;14:581. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Inoue M, Iwasaki M, Otani T, Sasazuki S, Tsugane S. Public awareness of risk factors for cancer among the Japanese general population: a population-based survey. BMC Public Health. 2006;6:2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Lynes K, Kazmi S, Robery J, Wong S, Gilbert D, Thaha M. Public appreciation of lifestyle risk factors for colorectal cancer and awareness of bowel cancer screening: a cross-sectional study. Int J Surg. 2016;36(Pt A):312–318. [DOI] [PubMed] [Google Scholar]
- 22. Forbes L, Simon A, Warburton F, et al. Differences in cancer awareness and beliefs between Australia, Canada, Denmark, Norway, Sweden and the UK (the International Cancer Benchmarking Partnership): do they contribute to differences in cancer survival? Br J Cancer. 2013;108(2):292–300. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Halpern A, Kopp L. Awareness, knowledge and attitudes to non-melanoma skin cancer and actinic keratosis among the general public. Int J Dermatol. 2005;44(2):107–111. [DOI] [PubMed] [Google Scholar]
- 24. Willcox S, Stewart B, Sitas F. What factors do cancer patients believe contribute to the development of their cancer? (New South Wales, Australia). Cancer Causes Control. 2011;22(11):1503–1511. [DOI] [PubMed] [Google Scholar]
- 25. Wold K, Byers T, Crane L, Ahnen D. What do cancer survivors believe causes cancer? (United States). Cancer Causes Control. 2005;16(2):115–123. [DOI] [PubMed] [Google Scholar]
- 26. Powe B, Finnie R. Cancer fatalism. Cancer Nurs. 2003;26(6):454–467. [DOI] [PubMed] [Google Scholar]
- 27. Dein S. Explanatory models of and attitudes towards cancer in different cultures. The Lancet Oncol. 2004;5(2):119–124. [DOI] [PubMed] [Google Scholar]
- 28. Dumalaon-Canaria J, Hutchinson A, Prichard I, Wilson C. What causes breast cancer? A systematic review of causal attributions among breast cancer survivors and how these compare to expert-endorsed risk factors. Cancer Causes Control. 2014;25(7):771–785. [DOI] [PubMed] [Google Scholar]
- 29. Ferrucci L, Cartmel B, Turkman Y, et al. Causal attribution among cancer survivors of the 10 most common cancers. J Psychosoc Oncol. 2011;29(2):121–140. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Lebel S, Devins G. Stigma in cancer patients whose behavior may have contributed to their disease. Future Oncol. 2008;4(5):17–33. [DOI] [PubMed] [Google Scholar]
- 31. Kittler P, Sucher K, Nelms M. Food and Culture. 6th ed Belmont, CA: Cengage Learning; 2012. [Google Scholar]
- 32. Nguyen-Viet H, Tuyet-Hanh T, Unger F, Sang-Xuan S, Grace D. Food safety in Vietnam: where we are at and what we can learn from international experiences. Infect Dis Poverty. 2017;6(1):39. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Phung D, Hien T, Linh H, et al. Air pollution and risk of respiratory and cardiovascular hospitalizations in the most populous city in Vietnam. Sci Total Environ. 2016;557-558:322–330. [DOI] [PubMed] [Google Scholar]
- 34. Yorifuji T, Bae S, Kashima S, et al. Health impact assessment of PM10 and PM2.5 in 27 Southeast and East Asian cities. J Occup Environ Med. 2015;57(7):751–756. [DOI] [PubMed] [Google Scholar]
- 35. Dang H, Nguyen L, Tran H, et al. Risk factors for non-communicable diseases in Vietnam: a focus on pesticides. Front Eviron Sci. 2017;5:58. [Google Scholar]
- 36. Hoi P, Mol A, Oosterveer P, van den Brink P, Huong P. Pesticide use in Vietnamese vegetable production: a 10-year study. Int J Agricultural Sustainability. 2016;14(3):325–338. [Google Scholar]
- 37. de Leeuw E. To mix or not to mix data collection modes in surveys. J Off Stat. 2005;21(2):233–255. [Google Scholar]
- 38. Rutherford C, Costa D, Mercieca-Bebber R, Rice H, Gabb L, King M. Mode of administration does not cause bias in patient-reported outcome results: a meta-analysis. Qual Life Res. 2016;25(3):559–574. [DOI] [PubMed] [Google Scholar]