Skip to main content
PLOS ONE logoLink to PLOS ONE
. 2014 Sep 30;9(9):e107237. doi: 10.1371/journal.pone.0107237

The Prevalence and Factors for Cancer Screening Behavior among People with Severe Mental Illness in Hong Kong

Phoenix Kit Han Mo 1, Winnie Wing Sze Mak 2,*, Eddie Siu Kwan Chong 3, Hanyang Shen 4, Rebecca Yuen Man Cheung 5
Editor: Paul L Reiter6
PMCID: PMC4182090  PMID: 25268752

Abstract

Objectives

Screening is useful in reducing cancer incidence and mortality. People with severe mental illness (PSMI) are vulnerable to cancer as they are exposed to higher levels of cancer risks. Little is known about PSMI's cancer screening behavior and associated factors. The present study examined the utilization of breast, cervical, prostate, and colorectal cancer screening among PSMI in Hong Kong and to identify factors associated with their screening behaviors.

Method

591 PSMI from community mental health services completed a cross-sectional survey.

Results

The percentage of cancer screening behavior among those who met the criteria for particular screening recommendation was as follows: 20.8% for mammography; 36.5% for clinical breast examination (CBE); 40.5% for pap-smear test; 12.8% for prostate examination; and 21.6% for colorectal cancer screening. Results from logistic regression analyses showed that marital status was a significant factor for mammography, CBE, and pap-smear test; belief that cancer can be healed if found early was a significant factor for pap-smear test and colorectal screening; belief that one can have cancer without having symptoms was a significant factor for CBE and pap-smear test; belief that one will have a higher risk if a family member has had cancer was a significant factor for CBE; and self-efficacy was a significant factor for CBE and pap-smear test behavior.

Conclusions

Cancer screening utilization among PSMI in Hong Kong is low. Beliefs about cancer and self-efficacy are associated with cancer screening behavior. Health care professionals should improve the knowledge and remove the misconceptions about cancer among PSMI; self-efficacy should also be promoted.

Introduction

Cancer as an important health issue

Cancer is an important preventable cause of morbidity and mortality. It is a leading cause of death in Hong Kong, accounting for 30.6% of all deaths in 2010 [1]. Colorectal, prostate, breast, and cervical cancer are important public health problems in Hong Kong, accounting for 16.6% of total cancer incidence, 10.7% of cancer incidence in men, and 24.1% and 3.2% of cancer incidence in women in 2010 respectively. In addition, the number of invasive breast cancer and cervical cancer has increased by 2.3% and 26% in Hong Kong in 2009 respectively. Colorectal cancer is the second most common cancer for both sexes, and is projected to be the most common cancer in Hong Kong in the near future.

Higher cancer risk among people with severe mental illness

People with severe mental illness (PSMI) are a vulnerable group to cancer as they are exposed to several factors associated with cancer, including poor lifestyle [2] such as heavy smoking [3], lack of exercise, poor diet [4], [5], and less than optimal physical health care [6], [7]. Indeed, studies have documented that PSMI tend to have higher level of cancer risk and cancer incidence, especially breast cancer and colorectal cancer, compared to the general population [8][12].

Screening and cancer risk

There is established evidence that screening is effective in reducing incidence and mortality from cancer [13], [14]. In recent years, much attention has been given to the promotion of screening programs worldwide. Countries with mass screening programs for breast, cervical, prostate, and colorectal cancer have shown significant reductions in cancer incidence and mortality [15][18]. A strong correlation between screening and reduction in cost has been documented in many studies. For example, one study about cost effectiveness of cervical cancer screening in Hong Kong reported that a mass population-based cervical screening every 3 to 5 years for all women over aged 21 can substantially increase benefits and reduce cost compared with opportunistic screening in Hong Kong [19], supporting the importance of cancer screening for the general public.

Cancer screening behavior in Hong Kong

Despite the effectiveness of the screening services, at present there are no centralized, systematic, population-based cancer screening programs in Hong Kong [20]. Most screening services are offered on an opportunistic basis [21]. Where a population-based approach screening is not available, research reported that the cancer screening utilization rate in Hong Kong is low and that misconception about cancer screening is widespread. For example, in a study of 430 women (87% aged 31–50 years) attendees of a women clinic in Hong Kong showed that 59% reported having a pap-smear test and 28% reported having a mammogram [22], such figures are lower than those reported in women of similar age range in other countries (i.e. 79.9% of those aged 25 or above reported recent pap-smear test and 66.9% of those above 40 years of age reported recent use of mammography in the United States) [23]. Similarly, population-based studies on colorectal cancer screening found that the uptake rate of any kind of colorectal cancer screening ranged from only 1.2%–4.5% (aged 18+) [24] to 9.9% (aged 30 to 65) [25] in Hong Kong. Another study on 1,664 clinic attendees aged 50 to 74 reported that 35% had taken fecal occult blood test [26]. One third (30.4%) had the wrong impression that they did not require colorectal cancer screening because they were asymptomatic [24].

In addition, PSMI have lower levels of cancer screening behavior compared to the general population [27], [28]. A recent narrative review found that overall, there is a 20% to 30% reduced likelihood of breast, cervical, and colorectal cancer screening in PSMI compared with those without severe mental illness [29]. Other studies also showed that women with mental illness are more than 81% less likely to receive adequate pap-smear screening compared with the general population despite their increased rates of smoking and increased number of primary care visits [30]. Additionally, they were found to be less adherent to breast cancer screening compared to those without mental illness (adjusted odds ratio = 0.60) [27]. Thus, there is an urgent need to promote cancer screening behavior among PSMI.

Factors for cancer screening behavior

Research has identified various factors associated with the uptake of cancer screening. Studies in the Chinese population have reported lower education level, a paucity of screening information, access barriers such as lacking time and money [25],[31], and cognitive factors such as perceived barriers to screening [25] as factors for non-attendance to cancer screening services. In contrast, recommendations by doctors or nurses [25], [32], previous screening experience [22], family history of cancer [24], [26], knowledge about cancer [26], [33], and cognitive factors such as believing that cancer is potentially curable at an early stage [26], being concerned about cancer [24], and being conscious about health [22] have been identified as facilitators for cancer screening behavior. Interestingly, it has also been suggested that perceived severity of cancer is associated with a lower level of colorectal screening uptake among Chinese [25].

Furthermore, studies among PSMI have also found that family history of cancer and doctors' recommendations and referrals were key facilitators for mammogram screening uptake [34], [35]. From our understanding, no study examined the factors associated with cancer screening behavior among PSMI in the Chinese context.

The present study

Despite the importance of cancer screening to the general public, very little is known about the cancer screening behavior of PSMI in Hong Kong and the factors associated with cancer screening behavior in this population. The present study aimed to examine the utilization of breast, cervical, prostate, and colorectal cancer screening among Chinese PSMI in Hong Kong, and to identify the factors associated with such screening behaviors. It is expected that findings would have important implications to guide the health care professionals to promote cancer screening among PSMI.

Materials and Methods

Study design

Stratified sampling based on gender, age, and diagnostic composition was used and PSMI were recruited from the various community mental health services in Hong Kong. These services represented the vast majority of the community support services, day training, and vocational rehabilitation services that are being provided to PSMI in Hong Kong. Inclusion criteria included: (1) age of 18 years or above, (2) residents of Hong Kong, (3) being able to understand Cantonese, which is the native spoken language in Hong Kong, (4) having at least one DSM-IV-TR Axis I diagnosis, (5) currently living in the community. Exclusion criteria included: (1) pregnancy or lactation, (2) intellectual disability, (3) dementia, (4) low levels of comprehension and cooperation.

Procedure

Individual structured questionnaire was administered to the participants at one of the community mental health service centers. Each PSMI was interviewed by a trained interviewer on the structured questionnaire. The interview lasted for about 45 minutes. Participants were given a HK$70 ( = US$9.03) supermarket coupon as compensation for their time spent in the study.

Ethics Statement

Written consent was obtained from each participant before the survey began. Staff of the community mental health services assessed participants' cognitive ability and participants were excluded if they were found to have low levels of comprehension which precluded their ability to provide consent. Separate written consent was also obtained from the participants for their diagnoses, health check records, and medications from their medical records. The consent forms were stored separately with participants' questionnaire in a locked cabinet and were only accessible to the research team. The consent and study procedure was approved by the Survey and Behavioral Ethics Committee of the Chinese University of Hong Kong.

Measures

Demographics

Participants' gender, age, education level, living condition, employment status, financial situation, and diagnoses (physical and psychiatric) were obtained. Where available, participants' diagnoses and medications were verified with their medical records upon consent.

Knowledge and perceptions about cancer

Items on knowledge and perceptions about cancer from the Health Risk factors Questionnaire were used to measure participants' knowledge and perception about cancer [36]. The Questionnaire was developed for the Asian American Health Needs Assessment (AsANA). Its Chinese version has been tested and considered culturally tailored and linguistically appropriate.

Self-efficacy

One item was used to assess participants' self-efficacy in performing body health check: “How confident are you in performing body health check regularly?” The item was rated on a 4-point Likert scale from (1) not at all to (4) definitely, with higher scores indicating greater self-efficacy.

Cancer screening behavior

Items on cancer screening from the Health Risk Factors Questionnaire were used to assess participants' cancer screening behavior [36]. Five types of cancer screening were assessed, based on the screening guideline from the American Cancer Society [37], participants who met the criteria for recommendation on a particular cancer screening were asked if they have ever taken such screening: (1) mammography (for women aged 40 years or above); (2) clinical breast examination (CBE; for women aged 20 years or above); (3) pap-smear test (for women aged 21 to 65 years); (4) any kind of prostate examination (prostate specific antigen or digital rectal exam; for men aged 50 years or above); and (5) any kind of colorectal screening (fecal occult blood test, flexible sigmoidoscopy, colonoscopy, double-contrast barium enema, or computed tomography colonography; for men and women aged 50 years or above).

Data analysis

Descriptive analyses were performed. To identify factors for the uptake of various types of cancer screening, univariate odds ratio (OR) and respective 95% confidence intervals were examined by fitting logistic regression models. Multivariate forward stepwise logistic regression analyses were then performed to obtain a summary model and those independent variables with p<.05 in the univariate analysis were used as candidates for the forward stepwise selection procedure, which stopped when the entry of any additional variable brought no further improvement to the model's fitness. A subset of significant factors was hence identified. Data analysis was performed by using SPSS 18.0 for Windows.

Results

Background characteristics of the participants

A total of 591 participants took part in the survey. Slightly more than half (54.0%) of the participants were female. A majority of them (73.6%) were over 40 years old. Respectively, 48.7%, 22.3%, 6.0%, and 23.0% described their primary mental illness diagnosis as schizophrenia, depression, bipolar disorder, and others. Their mean duration of mental illness was 17.7 years (SD = 10.9) (Table 1).

Table 1. Background Characteristics of the Participants.

Background characteristics Total (n = 591)#
Gender
Male 266 (45.0%)
Female 325 (54.0%)
Age
<20 5 (0.9%)
20–30 33 (5.8%)
30–40 113 (19.7%)
40–50 183 (31.9%)
50–60 185 (32.3%)
60–70 49 (8.6%)
>70 5 (0.8%)
Education level
Primary School or below 139 (23.6%)
Secondary School 405 (68.9%)
College or above 44 (7.5%)
Marital Status
Single 320 (54.3%)
Married/Cohabited 133 (22.6%)
Divorced/Separated/Widowed 136 (23.1%)
Employment Status
Unemployed 195 (33.1%)
Employed 394 (66.9%)
Monthly income
HKD4000 or below 456 (79.2%)
HKD4000–8000 109 (18.9%)
HKD8000 above 11 (1.9%)
Type of mental illness
Schizophrenia 286 (48.7%)
Depression 131 (22.3%)
Bipolar Disorder 35 (6.0%)
Others 135 (23.0%)
Duration of mental illness (in years) M = 17.7, SD = 10.9
#

Total number varied slightly for each variable due to missing data.

Cancer screening behavior among participants

Approximately one-fifth (20.8%) of women over 40 years old reported ever having a mammography screening; one third of these women (34.7%) reported having ever had screening in the past year. Slightly more than one third (36.5%) of women over 20 years old reported ever having a CBE; with 41.6% of them reported having had one in the past year. More than one-third (40.5%) of women aged 21 to 65 years reported ever having had a pap-smear test; with 39.8% of them reported having had a test in the past year. Next, 12.8% of men aged 50 or above reported ever having had a prostate examination. One-fifth (21.6%) of participants aged 50 or above reported having ever had a colorectal cancer screening. Among them, 29.9% have taken a fecal occult blood test; 17.2% have taken flexible sigmoidoscopy; 34.5% have taken colonoscopy; and 18.4% have taken double contrast barium enema (Table 2). The cancer screening rate was lower than those reported in other local or international studies (Table 3).

Table 2. Cancer Screening Behavior among People with Severe Mental Illness.

Cancer screening behavior Total
Mammography screening (Women aged ≥40; n = 236)1
Ever had a screening 49 (20.8%)
Never had a screening 187 (79.3%)
How long since the last time mammography? (Among those who had mammography; n = 49)
Within 1 year (≤1 year) 17 (34.7%)
Within 2 years (>1 year but ≤2 years) 13 (26.5%)
Within 3 years (>2 years but ≤3 years) 6 (12.2%)
Within 5 years (>3 years but ≤5 years) 3 (6.1%)
Over 5 years 9 (18.4%)
Don't know/remember 1 (2.0%)
Clinical breast examination (CBE) (Women aged ≥20; n = 310)1
Ever had a screening 113 (36.5%)
Never had a screening 197 (63.5%)
How long since the last time CBE? (Among those who had CBE; n = 113)
Within 1 year (≤1 year) 47 (41.6%)
Within 2 years (>1 year but≤2 years) 16 (14.2)
Within 3 years (>2 years but≤3 years) 13 (11.5%)
Within 5 years (>3 years but≤5 years) 14 (12.4%)
Over 5 years 22 (19.5%)
Don't know/remember 1 (0.9%)
Pap-smear Test (Women aged 21 to 65; n = 304)1
Ever had a screening 123 (40.5%)
Never had a screening 181 (59.5%)
How long since the last time Pap-smear test? (Among those who had pap-smear test; n = 123)
Within 1 year (< = 1 year) 49 (39.8%)
Within 2 years (>1 year but ≤2 years) 26 (21.1%)
Within 3 years (>2 years but ≤3 years) 14 (11.4%)
Within 5 years (>3 years but ≤5 years) 16 (13.0%)
Over 5 years 18 (14.6%)
Prostate Examination (Men aged ≥50; n = 109)1
Ever had a screening 14 (12.8%)
Never had a screening 95 (87.1%)
Colorectal cancer screening (Men and women aged ≥50; n = 236)1
Ever had a screening 51 (21.6%)
Never had a screening 185 (78.4%)
Type of colorectal cancer screening taken (Among those who had colorectal cancer screening; n = 87)2
Fecal occult blood test 26 (29.9%)
Flexible sigmoidoscopy 15 (17.2%)
Colonoscopy 30 (34.5%)
Double contrast barium enema 16 (18.4%)
1

The age for each cancer screening was set based on the screening guidelines of the American Cancer Society.

2

Total number higher than the number of people having taken colorectal cancer screening as some participants have taken more than one type of colorectal cancer screening.

Table 3. Cancer Screening Behavior Reported in Other Studies.

Mammography
Study Current study Abdullah et al. [22] Kwok et al. [41] Kwok et al. [42] Ma et al. [44] Breen et al. [23]
Country Hong Kong Hong Kong Hong Kong Australia United States United States
Targeted population Chinese women with MI ≥40 years Chinese women aged 31–50 years Chinese women aged 50–69 years Chinese-Australian women aged 50–69 years Chinese-American women ≥40 years Women ≥40 years
Sample size 236 430 150 104 NA 10,374
Screening rate 20.8% 28% 32.7% 75.0% 79.9% 66.9%
Time frame Ever Ever Every two years Every two years Ever Last 2 years
Clinical Breast Examination
Study Current study Kwok et al. [41] Tang et al. [51] Kwok et al. [42]
Country Hong Kong Hong Kong United States Australia
Targeted population Chinese women with MI ≥20 years Chinese women ≥40 years Chinese-American women ≥60 years Chinese-Australian women ≥40 years
Sample size 310 320 100 158
Screening rate 36.5% 37.8% 70% 35.4%
Time frame Ever Annually Ever Annually
Pap-smear Test
Study Current study Abdullah et al. [22] Ma et al. [44] Breen et al. [23]
Country Hong Kong Hong Kong United States United States
Targeted population Chinese women with MI aged 21–65 years Chinese women aged 31–50 years Chinese-American women ≥18 years Women ≥25 years
Sample size 304 430 NA 15,704
Screening rate 40.5% 59% 72.1% 79.9%
Time frame Ever Ever Ever Last 3 years
Prostate Examination
Study Current study Ma et al., [43], [44] Breen et al. [23] * McKinley et al. [52]
Country Hong Kong United States United States Australia
Targeted population Chinese men with MI ≥50 years Chinese-American men ≥50 years Men ≥50 years Male BRCA1 and BRCA2 carriers aged 40–69 years
Sample size 109 163 4,871 75
Screening rate 12.8% 43.3% 50.0% 55% for PSA, 43% for DRE
Time frame Ever Ever Last 2 years Last 3 years
Colorectal Cancer Screening
Study Current study Sung et al. [25] Ma et al. [44] Breen et al. [23]
Country Hong Kong Hong Kong United States United States
Targeted population Chinese men and women with MI ≥50 years Chinese men and women aged 30–65 years Chinese American men and women ≥50 years Women ≥50 years
Sample size 236 1,004 NA 11,679
Screening rate 21.6% 9.9% 34.7% 30.2% for women, 37.1% for men
Time frame Ever Ever Ever Last 3 years

* Only digital rectal examination was reported in the study

Abbreviations: MI = Mental illness; PSA = Prostate specific antigen test; DRE = Digital rectal examination; NA = Data not available

Knowledge and perceptions about cancer

A majority of the participants (81.6%) agreed that cancer could be healed if found early, two third of them (67.5%) believed one could have cancer without having symptoms. Most of them (90.6%) perceived some chances of getting cancer, and about two third (63.1%) believed that they would have a higher risk of developing cancer if a family member has had cancer. Half of them (50.1%) did not know whether they could find materials and services related to cancer (Table 4).

Table 4. Knowledge and Perceptions about Cancer among People with Severe Mental Illness.

Knowledge and perceptions Total (%)
Do you think cancer in general can be cured if detected early?
Yes 482 (81.6%)
No/don't know 109 (18.4%)
Do you know where you can get information on cancer or cancer services?
Yes 295 (49.9%)
No/don't know 296 (50.1%)
Do you think cancer is caused by fate or higher power?
Yes 214 (36.2%)
No 377 (63.8%)
Do you think that you can have cancer but not have symptoms?
Yes 399 (67.5%)
No/don't know 192 (32.5%)
What do you think your risks are for developing cancer?
Not at risk 50 (9.4%)
Low/moderate risk 401 (75.5%)
High risk 80 (15.1%)
Do you think having a family member who has had cancer increases your risk of developing cancer?
Yes 372 (63.1%)
No/don't know 218 (36.9%)

Factors related to mammography behavior among women aged 40 years or above

Results from the univariate logistic regressions showed that among all the variables, only marital status was significant in predicting mammography behavior, with those who were married or cohabitated being more likely to reported ever having had a mammography (OR = 2.69, 95% CI = 1.19, 6.07) (Table 5).

Table 5. Logistic Regression on Cancer Screening Behavior among People with Severe Mental Illness.

Mammography Clinical Breast Examination Pap-smear Test Prostate Examination Colorectal Cancer Screening
(Female aged ≥40) (N = 236) (Female aged ≥20) (N = 310) (Female aged 21 to 65) (N = 314) (Male aged ≥50) (N = 109) (All aged ≥50) (N = 236)
Row% ORU (95%CI) ORM (95%CI) Row% ORU (95%CI) ORM (95%CI) Row% ORU (95%CI) ORM (95%CI) Row% ORU (95%CI) ORM (95%CI) Row% ORU (95%CI) ORM (95%CI)
Age 1.02(.97–1.07) 1.01(0.99–1.03) 1.01(.99–1.04) 1.04(.95–1.13) 1.06(1.001.12) *
Gender
Male 21.3 1
Female 21.5 1.010.55–1.89)
Education level
Primary School or below 15.0 1 32.9 1 49.4 1 11.4 1 20.2 1
Secondary School 25.0 1.89(.92–3.89) 36.0 1.15(.67–1.96) 39.3 .66(.40–1.11) .90(.48–1.66) 14.7 1.34(.39–4.61) 22.0 1.12(.59–2.13)
College or above 13.3 0.87(.17–4.36) 54.2 2.41(.96–6.05) 20.8 .27(.09.79) * .41(.12–1.38) 0 27.3 1.48(.36–6.10)
Employment Status
Unemployed 23.0 1 35.7 1 45.0 1 13.5 1 23.3 1
Employed 19.5 0.81(.43–1.54) 36.9 1.05(.65–1.70) 37.9 .75(.47–1.21) 12.7 .93(.29–3.00) 20.4 .85(.45–1.60)
Marital Status
Single 14.1 1 27.1 1 19.7 1 12.1 1 20.4 1
Married/Cohabited 30.6 2.69(1.196.07) ** 46.2 2.30(1.284.16) ** 2.22(1.144.33) * 58.4 5.74(3.0610.77) *** 5.22(2.5710.6) *** 14.3 1.21(.32–4.55) 20.9 1.03(.47–2.23)
Divorced/Separated/Widowed 20.2 1.54(.69–3.43) 40.8 1.85(1.063.21) * 1.58(.84–2.97) 53.0 4.60(2.568.28) *** 3.80(1.967.36) *** 13.6 1.15(.27–4.91) 23.1 1.17(.56–2.42)
Monthly Income
$4000 or below 19.6 1 33.6 1 36.7 1 11.8 1 22.1 1
$4000–$8000 27.5 1.56(.71–3.42) 49.2 1.91(1.083.38) * 1.64(.87–3.12) 54.1 2.03(1.153.60) * 1.50(.78–2.85) 20.0 1.88(.52–6.74) 25.0 1.18(.51–2.69)
$8000 above 16.7 .82(.09–7.26) 42.9 1.48(.32–6.78) 1.37(.20–9.39) 71.4 4.32(.82–22.74) 3.21(.54–19.08) 0 0
Mental Illness type
Schizophrenia 16.7 1 32.0 1 39.7 1 9.1 1 12.4 1
Depression 27.3 1.88(.90–3.91) 43.2 1.62(.93–2.82) 50.0 1.52(.88–2.63) 11.8 1.33(.23–7.58) 31.3 3.23(1.467.16) ** 3.42(1.527.70) **
Bipolar Disorder 17.6 1.07(.28–4.16) 48.0 1.96(.82–4.70) 40.0 1.01(.42–2.44) 33.3 5.00(.38–65.36) 30.0 3.04(.69–13.36) 3.71(1.0117.07) *
Others 19.6 1.22(.49–3.01) 30.9 .95(.50–1.80) 28.8 .62(.32–1.17) 15.6 1.85(.49–6.97) 23.8 2.21(.96–5.12) 2.36(1.005.55) *
Do you think cancer in general can be cured if detected early?
No/don't know 10.9 1 22.8 1 1 28.1 1 21.1 1 8.9 1 1
Yes 23.2 2.47(.92–6.64) 39.5 2.21(1.134.32) * 1.54(.72–3.27) 43.3 1.96(1.043.68) * 2.00(1.014.13) * 11.1 .47(.13–1.69) 24.2 3.28(1.129.63) * 3.49(1.1710.43) **
Do you know where you can get information on cancer or cancer services?
No/don't know 22.9 1 32.7 1 41.6 1 10.2 1 19.7 1
Yes 18.1 .74(.39–1.41) 40.4 1.40(.88–2.22) 39.3 .91(.58–1.44) 16.0 1.68(.54–5.23) 23.5 1.25(.67–2.33)
Do you think cancer is caused by fate or higher power?
No/don't know 17.7 1 39.0 1 44.2 1 9.1 1 21.1 1
Yes 25.3 1.57(.83–2.95) 32.2.74(.46–1.21) 34.2 .66(.41–1.06) 18.6 2.29(.73–7.13) 21.6 1.03(.55–1.94)
Do you think that you can have cancer but not have symptoms?
No 14.9 1 17.7 1 21.1 1 11.1 1 18.3 1
Yes 23.5 1.76(.84–3.67) 44.9 3.78(2.106.82) *** 3.12(1.626.02) *** 49.3 3.64(2.086.40) *** 2.81(1.495.29) *** 13.7 1.27(.37–4.37) 22.9 1.33(.68–2.60)
What do you think your risks are for developing cancer?
Not at risk 14.3 1 18.5 1 37.0 1 0.0 17.6 1
Low/moderate risk 19.2 1.43(.39–5.17) 40.0 2.93(1.078.06) ** 2.18(.73–6.49) 39.8 1.12(0.49–2.58) 12.0 21.9 1.31(.36–4.80)
High risk 32.4 2.88(.71–11.71) 41.7 3.14(1.029.71) *** 2.08(.61–7.11) 45.8 1.44(0.55–3.78) 23.1 24.2 1.49(.34–6.56)
Do you think having a family member who has had cancer increases your risk of developing cancer?
No/don't know 20.3 1 25.0 1 30.2 1 5.7 1 18.1 1
Yes 21.0 1.05(.54–2.05) 42.1 2.18(1.293.71) ** 1.48(.79–2.77) 45.4 1.92(1.153.22)) * 1.65(1.023.04) * 18.2 3.70(.96–14.31) 24.1 1.43(.76–2.71)
Self-efficacy 1.28 (.95,1.75) 1.34 (1.121.64) * 1.17 (1.031.54) * 1.69 (1.312.20) * 1.55(1.162.07) * 1.16 (.75–1.79) 1.26 (.90–1.77)

*p<.05,

**p<.01,

***p<.001, Abbreviations: ORU = odds ratio obtained using univariate logistic regression, ORM = odds ratio obtained from stepwise multivariate logistic regression analysis using univariately significant variables as candidate variables; CI = confidence interval;

— not applicable.

Factors related to CBE behavior among women aged 20 years or above

Results from the univariate logistic regressions showed that among all the variables, marital status, monthly income, belief that cancer can be healed if found early, belief that one can have cancer without having symptoms, belief that their risk of getting cancer is high, belief that they will have a higher risk if a family member has had cancer, and self-efficacy were significant predictors to CBE behavior. These variables were selected and considered in the multivariate forward stepwise logistic regression procedures. Results of the multivariate stepwise analysis showed that those who were married or cohabited (OR = 2.22, 95% CI = 1.14, 4.33), believed that one can have cancer without having symptoms (OR = 3.12, 95% CI = 1.62, 6.02), and those who had a higher level of self-efficacy (OR = 1.17, 95% CI = 1.03, 1.54) were more likely to reported ever having had CBE (Table 5).

Factors related to pap-smear test behavior among women aged 21 to 65 years

Results from the univariate logistic regressions showed that among all the variables, education level, marital status, monthly income, belief that cancer can be healed if found early, belief that one can have cancer without having symptoms, belief that they will have a higher risk if a family member has had cancer, and self-efficacy were significant predictors for pap-smear test behavior. In the multivariate stepwise analysis, not being single (OR = 5.22, 95% CI = 2.57, 10.6 for those who were married/cohabited and 3.80, 95% CI = 1.96, 7.36 for those who were divorced/separated/widowed), belief that cancer could be healed if found early (OR = 2.00, 95% CI = 1.01, 4.13), belief that one can have cancer without having symptoms (OR = 2.81, 95% CI = 1.49, 5.29), belief that they would have a higher risk if a family member has had cancer (OR = 1.65, 95% CI = 1.02, 3.04), and self-efficacy (OR = 1.55, 95% CI = 1.16, 2.07) were significant factors for having had pap-smear test (Table 5).

Factors related to prostate examination behavior among men aged 50 years or over

Results from the univariate logistic regressions showed that none of the variables were significant predictor on prostate examination behavior (Table 5).

Factors related to colorectal screening behavior among all participants aged 50 or above

Results from the univariate logistic regressions showed that among all the variables, mental illness type and belief that cancer can be healed if found early were significant predictors to colorectal screening behavior. These variables remained significant in the multivariate stepwise logistic regression analysis, with those who had diagnosis of depression (OR = 3.42, 95% CI = 1.52, 7.70), bipolar disorder (OR = 3.71, 95% CI = 1.01, 17.07) or other types of mental illness (OR = 2.36, 95% CI = 1.00, 5.55), and believed that cancer could be healed if found early (OR = 3.49, 95% CI = 1.17, 10.43) being more likely to report ever having had a colorectal screening (Table 5).

Discussions

With its increasing incidence, cancer has become a major public health issue in Hong Kong. The study reported the pattern of cancer screening behavior, the knowledge and perceptions about cancer, and factors related to cancer screening behavior among Chinese PSMI in Hong Kong. Findings of the study showed that misconceptions about cancer were prevalent among PSMI. Specifically about one fifth did not think that cancer could be healed if found early, more than one third believed that fate was the cause of cancer, disagreed that one could have cancer without having symptoms, and disbelieved that one would have a higher risk if a family member has had cancer. This reflects a lack of health education about cancer among PSMI. The results were consistent to a previous study showing that cancer fatalism was evident among Chinese women in the United States, who believed that people had no control over life and death and therefore regular cancer screenings were not important [38]. Appropriate knowledge about cancer is fundamental in improving awareness of cancer, it also has the potential to increase one's motivation to take up cancer screening. There is a need to clarify misconceptions and to improve the awareness about cancer and cancer screening among PSMI.

One important point to note is that in addition to the misconceptions about cancer, barriers to obtain cancer-related information also seemed to be common among PSMI, with half of them not knowing where to find relevant materials and services. These barriers may explain PSMI's widespread misconceptions about cancer and corroborate the extant literature that demonstrated a high level of unmet needs in obtaining health information among PSMI [39]. Findings suggest that provision of health information to PSMI should not only focus on the mental illness diagnosis. Rather, information related to the most common physical morbidity, such as cancer, should be provided. Mental health professionals should also highlight resources that facilitate PSMI to seek further cancer-related services as well as information about the availability and effectiveness of different types of cancer screening.

Findings of the present study show that the uptake of cancer screening is low among Chinese PSMI. The low prevalence of cancer screening may be due to the lack of organized population-based screening program in Hong Kong. It also implies that the promotion and delivery of cancer screening services in Hong Kong is suboptimal. Indeed, certain cancer screening, such as mammography, has not been widely promoted in Hong Kong as there has been controversies that it may not be cost effective [40]. Furthermore, findings of the present study showed that the uptake of cancer screening of PSMI is generally lower than those of the Hong Kong general population [22], [25], [41] and those from other countries [23], [42][44]. A low rate of cancer screening among PSMI as observed in the current study is consistent with results from previous studies [27][30]. One possible explanation might be that for PSMI, the priority in treating mental illness might supersede other physical concerns such as cancer. In Hong Kong, a comprehensive health care for PSMI is insufficient. Treatment to PSMI has been heavily focused on their psychiatric condition whereas their physical health needs have been relatively ignored. A lack of motivation may also prevent PSMI from regularly seeking preventive health care [45]. Furthermore, given that a broadly based cognitive impairment has been observed among PSMI [46], PSMI might have more difficulty in understanding the screening procedure as well as its risks and benefits, which might eventually contribute to a low level of cancer screening uptake. These factors signify the importance of health care professionals working with PSMI to pay more attention in the physical health needs of PSMI, and to raise the awareness of PSMI in taking part in cancer screening as a part of preventive health practices.

Findings also suggested that knowledge and perceptions about cancer are strongly associated with cancer screening behavior. In the present study, the belief that cancer can be healed if found early was related to CBE, pap-smear screening, and colorectal cancer screening. The belief that one can have cancer without having symptoms was associated with CBE and pap-smear screening. The belief that one will have a higher risk if a family member has had cancer was related to pap-smear screening. It seems that PSMI who have taken cancer screening believed in its benefits in terms of its prevention nature. Knowledge about cancer also seems to be an important factor in the utilization of screening services among Chinese PSMI. To promote utilization of cancer screening among PSMI, information about cancer and the benefits of screening should be provided in easily understandable, accessible way. Tailor-made information should also be designed by addressing their beliefs and concerns, and modifying possible misconceptions about cancer. Interventions are warranted to help PSMI process information concerning cancer and cancer screening so that they recognize the importance and the benefits associated with cancer screening.

As suggested by the socio-cognitive theories of health, self-efficacy is important to the implementation and maintenance of a health behavior [47], [48]. In the present study, self-efficacy is related to CBE and pap-smear screening. The belief that a person holds about his/her ability to perform a health behavior can influence strongly on the power he/she has and the decisions he/she is likely to make with regards to the health behavior. Therefore, it may be possible that those with a higher level of self-efficacy believe in their ability to perform cancer screening and are more likely to view cancer screening as something to be undertaken rather than something to be avoided. Self-efficacy is strongly associated to increased participation in cancer screening programs for various populations [49], [50]. The present study confirmed such relationship among Chinese PSMI and suggested that self-efficacy on cancer screening should be promoted in this population.

Limitations

The present study had several limitations. First, the participants were recruited from community mental health organizations and may not necessarily represent the cancer screening utilization pattern of the general PSMI population in Hong Kong. However it is important to note that a stratified sampling was used in recruiting participants. Second, the study was cross-sectional, thus the associations observed could not be assumed as causal. Longitudinal studies are warranted to establish the temporal validity of the associations obtained in the present study. Third, variables were measured using single item and the number of PSMI having taken up certain cancer screening (e.g. prostate cancer screening) was small, these may account for the non-significant relationship among the variables. It should nevertheless be noted that single item has been commonly used in research on screening behaviors [22], [24], [32], and the items used in the present study were from a validated measure. Fourth, cancer screening behaviors were self-reported using a retrospective design, therefore the utilization of various cancer screenings might be overestimated due to recall bias or social desirability. Future research should consider the use of objective assessments of cancer screening behavior in this population. Finally, the lack of a comparison group precluded the opportunity that a comparison of cancer screening rate of PSMI to other populations could be made. Although a summary of the cancer screening rate reported by different populations was included, such figures were not directly comparable due to the use of different research methodologies and different targeted populations. Future studies should seek to include a comparison group so as to allow direct comparison of cancer screening rate of PSMI to those of other populations.

Conclusion

Cancer is a public health concern that is preventable by timely and regular cancer screening. The present study suggested that cancer screening utilization among PSMI in Hong Kong is low. Knowledge and perceptions about cancer and self-efficacy are important factors for cancer screening behavior. Findings suggest that in addition to emphasizing information and treatment about PSMI's mental health status, health care professionals also should seek to improve the knowledge and remove the misconceptions about cancer among PSMI. Self-efficacy should also be promoted so as to increase their cancer screening behavior.

Acknowledgments

We would like to express our sincere gratitude to the following non-governmental organizations and mutual support group (in alphabetical order) for facilitating us in recruiting eligible participants from their service users/members: Amity Mutual-Support Society, Baptist Oi Kwan Social Service, Christian Family Services, New Life Psychiatric Rehabilitation Association, and Society of Rehabilitation and Crime Prevention.

Data Availability

The authors confirm that all data underlying the findings are fully available without restriction. Data are from the Physical Health Needs of people with mental illness study whose authors may be contacted at wwsmak@psy.cuhk.edu.hk.

Funding Statement

This work was supported by the Hong Kong Health and Health Services Research Fund (grant number: 07080161). The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1.Hong Kong Cancer Registry (2011) Summary of cancer statistics in Hong Kong in 2010. Hong Kong: Hospital Authority.
  • 2. Scott D, Happell B (2011) The High Prevalence of Poor Physical Health and Unhealthy Lifestyle Behaviours in Individuals with Severe Mental Illness. Issues in Mental Health Nursing 32: 589–597. [DOI] [PubMed] [Google Scholar]
  • 3. Thakkar PB, Garcia J, Burton L (2011) Smoking and people with mental illness. The Psychiatrist 35: 30. [Google Scholar]
  • 4. Brown S, Birtwistle J, Roe L, Thompson C (1999) The unhealthy lifestyle of people with schizophrenia. Psychological Medicine 29: 697–701. [DOI] [PubMed] [Google Scholar]
  • 5. Osborn D, Nazareth I, King M (2007) Physical activity, dietary habits and Coronary Heart Disease risk factor knowledge amongst people with severe mental illness. Social Psychiatry and Psychiatric Epidemiology 42: 787–793. [DOI] [PubMed] [Google Scholar]
  • 6. Phelan M, Stradins L, Morrison S (2001) Physical health of people with severe mental illness. BMJ 322: 443–444. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Hardy S, Gray R (2010) Adapting the severe mental illness physical Health Improvement Profile for use in primary care. International Journal of Mental Health Nursing 19: 350–355. [DOI] [PubMed] [Google Scholar]
  • 8. McGinty E, Zhang Y, Guallar E, Ford DE, Steinwachs D, et al. (2012) Cancer Incidence in a Sample of Maryland Residents With Serious Mental Illness Psychiatric Services. 63: 714–717. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Halbreich U, Kinon BJ, Gilmore JA, Kahn LS (2003) Elevated prolactin levels in patients with schizophrenia: mechanisms and related adverse effects. Psychoneuroendocrinology 28 Supplement 153–67. [DOI] [PubMed] [Google Scholar]
  • 10. Pandiani JA, Boyd MM, Banks SM, Johnson AT (2006) Brief Reports: Elevated Cancer Incidence Among Adults With Serious Mental Illness Psychiatric Services. 57: 1032–1032. [DOI] [PubMed] [Google Scholar]
  • 11. Hippisley-Cox, Vinogradova Y, Coupland C, Parker C (2007) Risk of malignancy in patients with schizophrenia or bipolar disorder: Nested case-control study. Archives of general psychiatry 64: 1368–1376. [DOI] [PubMed] [Google Scholar]
  • 12. Bushe CJ, Bradley AJ, Wildgust HJ, Hodgson RE (2009) Schizophrenia and breast cancer incidence: A systematic review of clinical studies. Schizophrenia Research 114: 6–16. [DOI] [PubMed] [Google Scholar]
  • 13. Thun MJ, DeLancey JO, Center MM, Jemal A, Ward EM (2010) The global burden of cancer: priorities for prevention. Carcinogenesis 31: 100–110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Cappell MS (2008) Reducing the Incidence and Mortality of Colon Cancer: Mass Screening and Colonoscopic Polypectomy. Gastroenterology Clinics of North America 37: 129–160. [DOI] [PubMed] [Google Scholar]
  • 15. Blanks RG, Moss SM, McGahan CE, Quinn MJ, Babb PJ (2000) Effect of NHS breast screening programme on mortality from breast cancer in England and Wales, 1990-8: comparison of observed with predicted mortality. BMJ 321: 665. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Sigurdsson K (1999) The Icelandic and Nordic cervical screening programs, Trends in incidence and mortality rates through 1995. Acta Obstetricia et Gynecologica Scandinavica 78: 478–485. [PubMed] [Google Scholar]
  • 17. Libby G, Brewster DH, McClements PL, Carey FA, Black RJ, et al. (2012) The impact of population-based faecal occult blood test screening on colorectal cancer mortality: a matched cohort study. British Journal of Cancer 107: 255–259. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Bartsch G, Horninger W, Klocker H, Reissigl A, Oberaigner W, et al. (2001) Prostate cancer mortality after introduction of prostate-specific antigen mass screening in the Federal State of Tyrol, Austria. Urology 58: 417–424. [DOI] [PubMed] [Google Scholar]
  • 19. Kim JJ, Leung GM, Woo PPS, Goldie SJ (2004) Cost-effectiveness of organized versus opportunistic cervical cytology screening in Hong Kong. Journal of Public Health 26: 130–137. [DOI] [PubMed] [Google Scholar]
  • 20. Leung GM, Thach TQ, Lam TH, Hedley AJ, Foo W, et al. (2002) Trends in breast cancer incidence in Hong Kong between 1973 and 1999: an age-period-cohort analysis. British Journal of Cancer 87: 982–988. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Adab P, Hedley AJ (1997) Preventing avoidable death: The care of cervical cancer in Hong Kong. Hong Kong Medical Journal 3: 427–432. [PubMed] [Google Scholar]
  • 22. Abdullah ASM, Leung KF, Leung CKL, Leung NS, Leung WWS, et al. (2001) Factors associated with the use of breast and cervical cancer screening services among Chinese women in Hong Kong. Public Health 115: 212–217. [DOI] [PubMed] [Google Scholar]
  • 23. Breen N, Wagener DK, Brown ML, Davis WW, Ballard-Barbash R (2001) Progress in Cancer Screening Over a Decade: Results of Cancer Screening From the 1987, 1992, and 1998 National Health Interview Surveys. Journal of the National Cancer Institute 93: 1704–1713. [DOI] [PubMed] [Google Scholar]
  • 24. Wong BC, Chan AO, Wong WM, Hui WM, Kung HF, et al. (2006) Attitudes and knowledge of colorectal cancer and screening in Hong Kong: A population-based study. Journal of Gastroenterology and Hepatology 21: 41–46. [DOI] [PubMed] [Google Scholar]
  • 25. Sung JJY, Choi SYP, Chan FKL, Ching JYL, Lau JTF, et al. (2008) Obstacles to Colorectal Cancer Screening in Chinese: A Study Based on the Health Belief Model. Am J Gastroenterol 103: 974–981. [DOI] [PubMed] [Google Scholar]
  • 26. Tam TKW, Ng KK, Lau CM, Lai TC, Lai WY, et al. (2011) Faecal occult blood screening: knowledge, attitudes, and practice in four Hong Kong primary care clinics. Hong Kong Medical Journal 17: 350–357. [PubMed] [Google Scholar]
  • 27. Yee EF, White R, Lee SJ, Washington DL, Yano EM, et al. (2011) Mental illness: is there an association with cancer screening among women veterans? Women's health issues: official publication of the Jacobs Institute of Women's Health 21: S195–202. [DOI] [PubMed] [Google Scholar]
  • 28. Xiong GL, Bermudes RA, Torres SN, Hales RE (2008) Use of Cancer-Screening Services Among Persons With Serious Mental Illness in Sacramento County. Psychiatric Services 59: 929–932. [DOI] [PubMed] [Google Scholar]
  • 29. Happell B, Scott D, Platania-Phung C (2012) Provision of Preventive Services for Cancer and Infectious Diseases Among Individuals with Serious Mental Illness. Archives of Psychiatric Nursing 26: 192–201. [DOI] [PubMed] [Google Scholar]
  • 30. Tilbrook D, Polsky J, Lofters A (2010) Are women with psychosis receiving adequate cervical cancer screening? Canadian Family Physician 56: 358–363. [PMC free article] [PubMed] [Google Scholar]
  • 31. Chua MST, Mok TSK, Kwan WH, Yeo W, Zee B (2005) Knowledge, Perceptions, and Attitudes of Hong Kong Chinese Women on Screening Mammography and Early Breast Cancer Management. The Breast Journal 11: 52–56. [DOI] [PubMed] [Google Scholar]
  • 32. Tu S-P, Yasui Y, Kuniyuki AA, Schwartz SM, Jackson JC, et al. (2003) Mammography screening among Chinese-American women. Cancer 97: 1293–1302. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Twinn SF, Shiu ATY, Holroyd E (2002) Women's knowledge about cervical cancer and cervical screening practice: a pilot study of Hong Kong Chinese women. Cancer Nursing 25: 377–384. [DOI] [PubMed] [Google Scholar]
  • 34. Kahn LS, Fox CH, Krause-Kelly J, Berdine DE, Cadzow RB (2006) Identifying Barriers and Facilitating Factors to Improve Screening Mammography Rates in Women Diagnosed with Mental Illness and Substance Use Disorders. Women & Health 42: 111–126. [DOI] [PubMed] [Google Scholar]
  • 35. Miller E, Lasser KE, Becker AE (2007) Breast and cervical cancer screening for women with mental illness: patient and provider perspectives on improving linkages between primary care and mental health. Archives of Women's Mental Health 10: 189–197. [DOI] [PubMed] [Google Scholar]
  • 36. Gor B, Shelton A, Esparza A, Yi J, Hoang T, et al. (2008) Development of a Health Risk Factors Questionnaire for Chinese and Vietnamese Residents of the Houston, Texas Area. Journal of Immigrant and Minority Health 10: 373–377. [DOI] [PubMed] [Google Scholar]
  • 37.American Cancer Society (2012) American Cancer Society Guidelines for the Early Detection of Cancer. Available at: http://www.cancer.org/healthy/findcancerearly/cancerscreeningguidelines/american-cancer-society-guidelines-for-the-early-detection-of-cancer. Accessed 8 Oct 2012
  • 38. Liang W, Yuan E, Mandelblatt JS, Pasick RJ (2004) How Do Older Chinese Women View Health and Cancer Screening? Results from Focus Groups and Implications for Interventions. Ethnicity & Health 9: 283–304. [DOI] [PubMed] [Google Scholar]
  • 39. Bengtsson-Tops A, Hansson L (1999) Clinical and social needs of schizophrenic outpatients living in the community: the relationship between needs and subjective quality of life. Soc Psychiatry Psychiatr Epidemiol 34: 513–518. [DOI] [PubMed] [Google Scholar]
  • 40. Wong IOL, Kuntz KM, Cowling BJ, Lam CLK, Leung GM (2007) Cost effectiveness of mammography screening for Chinese women. Cancer 110: 885–895. [DOI] [PubMed] [Google Scholar]
  • 41. Kwok C, Fong DYT (2014) Breast cancer screening practices among Hong Kong Chinese women. Cancer Nursing 37: 59–65. [DOI] [PubMed] [Google Scholar]
  • 42. Kwok C, Fethney J, White K (2012) Breast cancer screening practices among Chinese-Australian women European Journal of Oncology Nursing. 16: 247–252. [DOI] [PubMed] [Google Scholar]
  • 43. Ma GX, Shive SE, Gao W, Tan Y, Wang MQ (2012) Prostate Cancer Screening Among Chinese American Men: A Structural Model. American Journal of Health Behavior 36: 495–504. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44. Ma GX, Shive SE, Wang MQ, Tan Y (2009) Cancer Screening Behaviors and Barriers in Asian Americans American Journal of Health Behavior. 33: 650–660. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45. Robson D, Gray R (2007) Serious mental illness and physical health problems: a discussion paper. International Journal of Nursing Studies 44: 457–466. [DOI] [PubMed] [Google Scholar]
  • 46. Heinrichs RW, Zakzanis KK (1998) Neurocognitive deficit in schizophrenia: A quantitative review of the evidence. Neuropsychology 12: 426–445. [DOI] [PubMed] [Google Scholar]
  • 47. Bandura A (2004) Health Promotion by Social Cognitive Means. Health Education and Behavior 31: 143–164. [DOI] [PubMed] [Google Scholar]
  • 48.Bandura A (1997) Self-efficacy: The exercise of control. New York: Freeman.
  • 49. Lev EL (1997) Bandura's Theory of Self-Efficacy: Applications to Oncology. Research and Theory for Nursing Practice 11: 21–37. [PubMed] [Google Scholar]
  • 50. Hogenmiller JR, Atwood JR, Lindsey AM, Johnson DR, Hertzog M, et al. (2007) Self-efficacy scale for pap smear screening participation in sheltered women. Nursing Research 56: 369–377. [DOI] [PubMed] [Google Scholar]
  • 51. Tang TS, Solomon LJ, McCracken LM (2000) Cultural Barriers to Mammography, Clinical Breast Exam, and Breast Self-Exam among Chinese-American Women 60 and Older. Preventive Medicine 31: 575–583. [DOI] [PubMed] [Google Scholar]
  • 52. McKinley JM, Weideman PC, Jenkins MA, Friedlander ML, Hopper JL, et al. (2007) Prostate screening uptake in Australian BRCA1 and BRCA2 carriers. Hereditary Cancer In Clinical Practice 5: 161–163. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The authors confirm that all data underlying the findings are fully available without restriction. Data are from the Physical Health Needs of people with mental illness study whose authors may be contacted at wwsmak@psy.cuhk.edu.hk.


Articles from PLoS ONE are provided here courtesy of PLOS

RESOURCES