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Fatalistic Cancer Beliefs and Information Sources Among Rural and Urban Adults in the USA

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Fatalistic beliefs about cancer prevention can be a significant deterrent to one's likelihood of engaging in cancer prevention behaviors. Lower education and less access to cancer information among rural residents may influence their level of cancer fatalism. The purpose of this study was to examine rural-urban differences in fatalistic beliefs about cancer prevention and cancer information sources using data from the 2007 Health Information National Trends Survey (n = 1,482 rural and 6,192 urban residents). Results showed that rural residents were more likely to endorse multiple fatalistic beliefs about cancer prevention than urban residents even after controlling for other significant demographic correlates. Urban residents were more likely to use the internet as their primary cancer information source, whereas rural residents were more likely to rely on print material and healthcare providers. Future educational work to communicate relevant and accurate cancer prevention information to rural residents should consider not only information access but also rural culture and fatalistic perspectives.
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Fatalistic Cancer Beliefs and Information Sources
Among Rural and Urban Adults in the USA
Christie A. Befort & Niaman Nazir &
Kimberly Engelman & Won Choi
Published online: 29 June 2013
#
Springer Science+Business Media New York 2013
Abstract Fatalistic beliefs about cancer prevention can be a
significant deterrent to ones likelihood of engaging in can-
cer prevention behaviors. Lower education and less access to
cancer information among rural resi dents may influence their
level of cancer fatalism. The purpose of this study was to
examine ruralurban differences in fatalistic beliefs about
cancer prevention and cancer information sources using data
from the 2007 Health Information National Trends Survey
(n=1,482 rural and 6,192 urban residents). Results showed
that rural residents were more likely to endorse multiple
fatalistic beliefs about cancer prevention than urban residents
even after controlling for other significant demographic cor-
relates. Urban residents were more likely to use the internet
as their primary cancer information source, whereas rural
residents were more likely to rely on print material and
healthcare providers. Future educational work to communi-
cate relevant and accurate cancer prevention information to
rural residents should consider not only information access
but also rural culture and fatalistic perspectives.
Keywords Fatalistic beliefs
.
Cancer prevention
.
Information sources
.
Rural residents
.
Urban residents
Fatalistic cancer beliefs reflect an outlook that events are con-
trolled by external forces and a sense of powerlessness over
preventing or surviving cancer . Fatalism has been conceptual-
ized as a combination of fear, predetermination, luck, helpless-
ness, and pessimism [1]. Fatalistic beliefs about surviving cancer
(i.e., being diagnosed with cancer is a death sentence)have
been especially prevalent among those of lower socioeconomic
status [2] and among African Americans [3]andHispanics[4].
Fatalistic beliefs about pr eventing a primary diagnosis of cancer
have been higher among those with less education [2, 4, 5], but
have not been consistently related to race/ethnicity [4, 5].
Fatalistic beliefs about cancer prevention have frequently been
operationalized with an emphasis on helplessness [58]. For
example, 47 % of US adults have agreed with the statement
everything causes cancer [5], demonstrating a high preva-
lence of fatalistic beliefs about cancer prevention.
Fatalistic beliefs about cancer prevention may be detrimen-
tal to health to the extent that they are associated with lower
engagement in cancer prevention behaviors. Individuals who
hold fatalistic beliefs are less likely to engage in cancer
screening, sunscreen use, smoking cessation, as well as fruit
and vegetable consumption and exercise [4, 5, 9, 10]. The
association between fatalistic beliefs and adoption of health
behaviors has implications for the prevention of cancer, as
well as other chronic diseases.
Although fatalism has been conceptualized as a cultural
and philosophical belief system [1], the volume of health-
related news coverage may also play a role. Health commu-
nication research suggests that information overload and
exposure to complex information may overwhelm cognitive
processing capabilities and lead to confusion or fear [11]. In
addition, low trust in health information [12] and negative
experiences with cancer information seeking (e.g., feeling
frustrated, not understanding, or having concerns about the
quality of information) are more common among those with
less education, and the latter has also been associated with
higher fatalistic beliefs about cancer prevention [6].
Few studies have examined rurality as a determinant of
fatalistic beliefs about cancer prevention [13]. Nearly 20 %
of the US population resides in a rural area, representing one
of the largest medically underserved populations in the na-
tion [14]. Rural communities have higher rates of poverty,
lower educational levels, greater percentages of patients with
chronic diseases, and poorer lifestyle behaviors [15, 16].
When diagnosed with cancer, rural residents appear to be
C. A. Befort (*)
:
N. Nazir
:
K. Engelman
:
W. Choi
Department of Preventive Medicine and Public Health, University
of Kansas Medical Center, 3901 Rainbow Boulevard, MS 1008,
Kansas City, KS 66160, USA
e-mail: cbefort@kumc.edu
J Canc Educ (2013) 28:521526
DOI 10.1007/s13187-013-0496-7
diagnosed at more advanced stages than their urban counter-
parts [17, 18]. In addition, rural residents are less likely to
engage in cancer prevention behaviors, including cancer
screening [19], using sunscreen [ 20], and exercising [21],
and they are more likely to be obese [22]. These disparities
are related to the demographi c composition of rural areas
(especially older age and lower socioeconomic status) and
are also believed to be driven in part by cultural factors.
Access to cancer information also differs across rural and
urban settings. Rural residents appear to have less knowledge
about cancer in general [23], as well as about cancer staging
and treatment [24]. Only 55 % of rural residents have home
broadband internet access significantly less than urban resi-
dents [25]; thus, they may rely more on other sources for
cancer information. The purpose of the current study was to
examine ruralurban differences in fatalistic beliefs about
cancer prevention, cancer information sources, and trust in
health information. We also examined the unique contribution
of sociodemographic factors, cancer information sources, and
information trust to predicting fatalistic beliefs about cancer
prevention among rural and urban residents.
Methods
Data were obtained from the 2007 Heath Information
National Trends Survey (HINTS) collected from January
2008 to May 2008. The HINTS is conducted by the
National Cancer Institute and is aimed at tracking trends in
cancer-related knowledge, information seeking, attitudes, and
behaviors. It includes a nationally representative sample of
adults aged 18 years and older using a complex stratified
sampling design. The 2007 HINTS consisted of two samples:
one drawn as a random digit dial telephone survey, using a
computer-assisted telephone interview (CATI) format, and a
second random sample selected from a list of addresses from
the United States Postal Service using a mailed survey format.
African-American and Hispanic residents were oversampled
to ensure adequate representation from the two largest minor-
ity groups in the USA. Data were collected from 4,092 re-
spondents via CATI (24.2 % overall response rate) and 3,582
respondents via mail (31.0 % overall response rate).
Respondents with a history of cancer (13 % of the total sample
with no difference across rural and urban residents) were
included because prevention of new primary diagnoses and
secondary prevention remain important for this group.
Measures
Rural and urban classificat ion was based on the 2003 Rural
Urban Continuum Code of the US Department of Agriculture
Economic Research Service, with metropolitan counties
(codes 13) classified as urban and nonmetropolitan counties
(codes 49) classified as rural. Fatalistic beliefs about cancer
prevention were operationalized with three items that have
been used in several previous studies [57]: It seems like
everything causes cancer,”“Theres not much you can do to
loweryourchancesofgettingcancer, and There are so many
recommendations about preventing cancer, its hard to know
whichonestofollow. These items were pretested with cog-
nitive interviews and included in a national pilot test of 172
adults to ensure content validity before being included in the
HINTS survey [26]. They are rated on a four-point Likert scale
from strongly agree to strongly disagree and recoded
into a dichotomous variable (strongly agree or agree vs.
strongly disagree or disagree). Each belief item was examined
separately. Primary cancer information source
was assessed
by asking The most recent time you looked for cancer
information, where did you go first? Response options were
collapsed into four categories: doctor/healthcare provider,
books/library/magazine/newspaper, internet, and other. Trust
in health information sources was assessed with individual
questions regarding trust in doctor, newspapers/magazines,
internet, television, government, and religious organizations.
Participants rated their trust for each source as a lot, some, a
little, or not at all. Trust was recoded as a dichotomous
variable (a lot or some vs. a little or not at all) [12]. In addition,
a trust index was created by summing across items, with a
score 18 representing a lot to some trust and <18 representing
little to no trust across sources. Sociodemographic variables
included gender , age (39, 4049, 5059, 6069, or 70 years),
race/ethnic ity (White non-Hispanic, Black non-Hispanic,
Hispanic, or other), education level (high school or less,
some college, or college graduate or more), employment
status (yes or no), and marital status (married/living as mar-
ried, divorced/separated/widowed, or single/never married).
Statistical Analyses
Data were weighted to produce overall and stratified estimates
that would be nationally representative of the US population.
Analyses were performed using SAS (version 9.2) and
SUDAAN (Release 10.0.1, SAS-Callable Individual PC,
×64 version). Cross-tabulation procedures were used to gen-
erate prevalence estimates for primary cancer information
source, trust in health information, and fatalistic beliefs.
Wald chi-square was used to compare these variables and
sociodemographic factors across rural and urban residence.
Multiple logistic regression models were used to examine
ruralurban residence as a determinant of each fatalistic can-
cer belief controlling for sociodemographic variables, cancer
information source, and trust in health information. A separate
model was conducted for each belief item. Next, logistic
regression models were conducted, including interaction
terms between ruralurban residence and all covariates, with
separate models for each fatalistic belief as the outcome
522 J Canc Educ (2013) 28:521526
variable. Finally, separate logistic models were conducted to
examine multivariate correlates of fatalistic beliefs within
rural and urban groups.
Results
In the weighted sample, 82.2 % (SE=0.70) was composed of
urban residents (n=6,192) and 17.8 % (SE=0.70) was com-
posed of rural residents (n=1,482). Compared to urban res-
idents, rural residents were more likely to be older, married,
White non-Hispanic, and have less education (Table 1). For
both rural and urban residents, the most common primary
cancer information source was the internet; however, com-
pared to urban residents, rural residents primary information
source was less likely to be the internet (44 vs. 58 %)
and more likely to be their physician (28 vs. 21 %) or
print materials (18 vs. 11 %). Compared to urban resi-
dents , rural residents were also less likely to trust informa-
tion from the internet (65 vs. 72 %), print materials (47 vs.
52 %), or government sources (70 vs. 75 %). Approximately
one third of both rural and urban residents reported high
health information trust overall, with the highest level of
trust being with their physicians (94 % reported some or a
lot of trust).
Rural residents were significantly more likely to endorse all
three fatalistic beliefs about cancer prevention. Specifically,
62 % of rural residents vs. 53 % of urban residents agreed that
everything causes cancer, 34 % of rural residents vs. 27 %
of urban residents agreed Theres not much you can do to
lower your chances of getting cancer, and 80 % of rural
residents vs. 74 % of urban residents agreed There are so
many recommendations about preventing cancer, itshardto
know which ones to follow.
Multivariate correlates of each fatalistic belief about can-
cer prevention among the total sample are shown in Table 2.
Controlling for all other variables, rural residence remained a
significant and positive determinant of all three fatalistic
beliefs, including everything causes cancer (odds ratio
[OR]=1.77 [95 % confidence interval (CI)=1.322.38];
p<0.001), prevention not possible (OR=1.51 [95 %
CI=1.032.22]; p=0.02), and hard to know which recom-
mendations to follow (OR=1.31 [95 % CI=1.051.64];
p=0.04). Lower education was a significant correlate of all
three fatalistic beliefs. Older age (over 6 0 years compared to
under 40 years) was positively associated with the belief
everything causes cancer. Race/ethnicity showed an incon-
sistent pattern of relationships across the three beliefs.
Respondents who reported that the internet was their primary
health information source were less likely to endorse two of
the three fatalistic beliefs (prevention not possible and
hard to know which recommendations to follow) com-
pared to those whose primary source was their physician.
Finally, trust in health infor mation was not a significant
correlate of any of the three fatalistic beliefs.
Table 1 Participant characteristics by rural and urban residence
Rural
(n=1,482)
Urban
(n=6,192)
p
value
Percent SE Percent SE
Gender, % female 51.8 1.5 51.3 0.3 0.80
Age <0.001
39 30.2 1.8 42.4 0.3
4049 21.5 1.4 19.9 0.3
5059 19.9 1.3 16.5 0.3
6069 12.9 0.7 10.2 0.1
70 15.6 1.1 11.1 0.2
Race/ethnicity <0.001
White non-Hispanic 83.4 1.5 65.7 0.5
Black non-Hispanic 7.9 1.3 12.1 0.3
Hispanic 5.1 0.98 14.4 0.3
Other 3.7 0.67 7.8 0.3
Education <0.001
High school or less 52.1 2.0 38.0 0.7
Some college 31.6 1.9 35.5 0.6
College degree+ 16.3 1.1 26.5 0.3
Employed, % yes 55.0 1.8 58.6 0.9 0.11
Marital status <0.001
Married/living as married 62.3 1.8 55.6 0.5
Divorced/separated/widowed 20.3 1.3 16.6 0.4
Single/never married 17.4 1.7 27.8 0.4
Primary cancer information
source
Doctor/healthcare provider 28.5 2.5 21.5 1.2 0.02
Books/library/magazine/
newspaper
18.1 2.3 10.7 0.8 0.01
Internet 43.6 2.4 57.9 1.4 <0.001
Other 9.9 1.6 9.9 0.8 0.98
Trust health information
sources
a
Trust doctor 94.0 1.1 94.0 0.5 0.98
Trust newspapers/magazines 47.0 1.7 52.1 0.9 0.004
Trust the internet 64.9 2.1 71.6 1.0 0.01
Trust television 40.5 1.7 42.7 0.8 0.23
Trust government sources 70.2 2.0 75.4 0.8 0.03
Trust religious organizations 39.4 2.2 37.4 1.0 0.43
Trust index, % high trust
b
32.2 1.9 35.1 0.89 0.18
Fatalistic beliefs about cancer
prevention
b
Everything causes cancer 61.6 1.8 53.5 1.0 <0.001
Prevention not possible 33.6 1.8 26.9 0.8 0.002
Hard to know which
recommendations to follow
80.5 1.3 74.3 0.9 <0.001
a
Percent reporting a lot or some trust
b
Percent who agree or strongly agree
J Canc Educ (2013) 28:521526 523
When including interaction terms in the models, interac-
tions with ruralurban residence for age and primary cancer
information source were significant (p<0.05). Due to these
significant interaction terms and an interest in examining
multivariate correlates of the fatalistic belief separately for
rural and urban groups, logistic models were conducted within
rural and urban participants. Lower education remained a
significant positive correlate of all three fatalistic beliefs within
both rural and urban residents. Race/ethnicity was a significant
correlate among urban residents but not among rural residents.
Urban non-Hispanic Blacks and urban Hispanics were more
likely to endorse prevention not possible compared to urban
White non-Hispanics. Urban Hispanics, however, were also
less likely to endorse everything causes cancer compared to
urban White non-Hispanics. Among rural residents but not
urban residents, those whose primary cancer information
source was the internet had lower fatalistic beliefs for every-
thing causes cancer and prevention not possible compared
to those whose source was their physician. Among urban
residents but not rural residents, those whose primary informa-
tion source was print materials had lower fatalistic beliefs for
everything causes cancer.
Discussion
This is the first study to demonstrate significantly higher
fatalistic beliefs about cancer prevention in rural adults com-
pared to urban adults using a nationally representative sample.
A large body of evidence has shown that lower education is
Table 2 Multivariate correlates of fatalistic beliefs about cancer prevention, total sample
Everything causes cancer,
OR (95 % CI)
Prevention not possible,
OR (95 % CI)
Hard to know which
recommendations to
follow, OR (95 % CI)
Rural (reference=urban) 1.77 (1.322.38)*** 1.51 (1.032.22)* 1.31 (1.051.64)*
Gender
Male 1.0 1.0 1.0
Female 1.05 (0.851.29) 0.93 (0.711.23)
Age
39 1.0 1.0 1.0
4049 1.01 (0.661.53) 1.10 (0.711.69) 1.17 (0.781.76)
5059 0.76 (0.511.13) 0.81 (0.501.30) 0.73 (0.511.04)
6069 0.68 (0.470.97)* 0.82 (0.491.38) 0.70 (0.451.08)
70 0.37 (0.250.56)*** 1.35 (0.712.56) 0.83 (0.551.23)
Race/ethnicity
White non-Hispanic 1.0 1.0 1.0
Black non-Hispanic 0.80 (0.471.36) 1.98 (1.293.03)** 1.05 (0.661.68)
Hispanic 0.42 (0.280.64)*** 2.12 (1.283.51)** 0.62 (0.400.97)*
Education
High school or less 1.84 (1.442.35)*** 2.07 (1.462.94)*** 2.00 (1.452.74)***
Some college 1.59 (1.242.04)*** 1.58 (1.122.22)** 1.69 (1.372.08)***
College degree+ 1.0 1.0 1.0
Marital status
Married/living as married 1.0 1.0 1.0
Divorced/separated/widowed 1.23 (0.971.56) 0.96 (0.751.24) 1.21 (0.861.68)
Single/never married 1.14 (0.891.46) 0.69 (0.38
1.24) 0.79 (0.511.23)
Primary cancer information source
Doctor/healthcare provider 1.0 1.0 1.0
Books/magazine/newspaper 0.75 (0.541.05) 0.91 (0.521.58) 0.85 (0.581.23)
Internet 0.98 (0.741.28) 0.71 (0.520.96)* 0.75 (0.570.99)*
Other 1.01 (0.671.52) 0.72 (0.481.08) 0.87 (0.611.25)
Trust index
High trust 1.0 1.0 1.0
Low trust 1.01 (0.801.27) 1.13 (0.861.49) 1.10 (0.831.45)
*p<0.05, **p<0.01, ***p<0.001; each variable is adjusted for all other variables in the model
524 J Canc Educ (2013) 28:521526
associated with higher fatalistic beliefs about cancer prevention
[2, 4, 5]. In this study, rural residence remained a significant
correlate after controlling for education, as well as age,
race/ethnicity, and other sociodemographic factors. Outside
of sociodemographic differences, other less studied character-
istics associated with health information access or rural culture
may contribute to fatalistic beliefs about cancer prevention in
rural communities.
The proportion of rural respondents agreeing with the three
fatalistic belief statements ranged from 34 to 80 %. Although
fewer urban respondents agreed with all three beliefs com-
pared to rural respondents, the proportion who agreed was a
similar wide range across beliefs statements. This highlights
the multidimensional nature of these beliefs. In addition, we
found race/ethnicity to be a significant correlate for only two
out of three beliefs, only among urban residents, and the
direction of the relationship was mixed. For example, urban
White non-Hispanics were more likely to agree with preven-
tion not possible but less likely to agree with everything
causes cancer. This finding also highlights the unique aspects
of these beliefs and confirms prior studies showing that fatal-
istic beliefs about cancer prevention have not been consistent-
ly related to race/ethnicity [4, 5]. In contrast, fatalistic beliefs
about surviving cancer have been consistently higher among
Hispanics and African Americans and may have stronger
ethnic and cultural origins [3, 4].
Despite the internet being the most common source for
cancer information overall, rural residents were less likely to
obtain information from the internet and less likely to trust
this information compared to their urban counterparts.
Among rural residents, those who used the internet for can-
cer information were less likely to endorse fatalistic beliefs
about cancer prevention compared to those who relied on
their physician for information. This was not the case for
urban residents. Rural internet penetration rates have
remained 10 % behind the national average over time [27],
and given the lower access to and use of the internet in rural
America, it may be a better marker for socioeconomic status,
knowledge, and beliefs among rural residents compared to
urban residents. Although the rural contingent who utilizes
the internet is expected to grow in future generations, at the
current time, lower use of and trust in internet sources for
health information among rural residents may be a barrier to
information dissemination about cancer prevention.
Despite small to moderate differences in health information
trust for three out of six sources, with rural residents reporting
lower trust in internet, print, and government sources, overall
level of trust in health information among rural and urban
residents remained similar, with approximately one third in
each group reporting high health information trust. Regardless
of their primary cancer information source, the most trusted
sources of information for both rural and urban residents were
physicians, government, and the internet. Consistent with the
2003 HINTS [12], physicians remained the most highly
trusted information source. In addition, level of health infor-
mation trust was not associated with fatalistic beliefs about
cancer prevention for either rural or urban residents. Thus,
although health information trust is associated with education
level [12], it does not appear to be related to or to mediate
fatalistic cancer beliefs. Rather, specific experiences with
cancer information seeking, such as being able to find quality
and understandable information, may be more important for
influencing beliefs about cancer prevention [6].
Other factors related to health information access in rural
communities may contribute to ruralurban differences in
fatalistic beliefs about cancer prevention. For example, de-
spite rural residents greater reliance on healthcare providers
for health information, they visit such providers less fre-
quently than do urban residents, further limiting their access
to health information. In addition, there are higher rates of
cancer-related morbidity in rural areas [17], and personal
health information is often discovered through social and
familial connections within small communities. Emotionally
charged news travels through social networks at a greater
volume and rate than does noncharged stories such that news
about a person
s cancer diagnosis or poor prognosis may
spread more widely than news about those with a positive
health prognosis [28]. This phenomenon may have a prolifer-
ative effect on a persons perception of control over being able
to combat a cancer diagnosis.
Limitations of this study include the cross-sectional de-
sign and the low overall response rates to the HINTS (24
31 %) which somewhat limits the generalizability of the
findings. In addition, fatalistic beliefs about cancer preven-
tion were measured with three separate items rather than a
multiple item scale assessing additional dimensions of the
construct. However, the items used by the HINTS have
demonstrated const ruct validity across multiple studies [5,
6, 9]. Strengths of the study include the large nationally
representative sample which allows for comparison across
rural and urban groups.
This study highlights significant differences in fatalistic
beliefs about cancer prevention between rural and urban
communities that warrant further study. The high level of
fatalistic beliefs reported by rural residents, coupled with
poorer health status, less prevalent use of cancer screening
tests, and poorer cancer outcomes, makes focusing on the
20 % of US citizens who reside in rural communities a priority.
Targeted educational efforts may help reduce fatalistic per-
spectives about cancer prevention in rural areas. For example,
one study found that an educational video was successful in
reducing fatalistic beliefs about cancer prevention among older
rural adults [29]. The information must be packaged in a way
that can be easily understood and readily accepted by those
with fatalistic perspectives and delivered using mechanisms
that have the broadest reach such as television-based, social
J Canc Educ (2013) 28:521526 525
media-based, and primary care clinic-based education.
Currently, only 55 % of rural residents use the internet, which
likely will result in making effective dissemination of cancer
prevention information more costly and time intensive in rural
areas. In addition, because less educated adults are the most
likely to hold fatalistic beliefs, interventions must deliver
evidence-based information in an engaging manner without
overloading recipients with too much information or over-
shooting their literacy level. In summary, future work to pro-
mote cancer prevention initiatives should identify and address
the unique cultural and fatalistic perspectives of rural commu-
nities along with limited cancer information resources to prog-
ress towards less disparate rural cancer outcomes.
Conflict of Interest The authors have no conflicts of interest to disclose.
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... Rural areas generally have higher prevalence of cigarette smoking and obesity compared with large metropolitan areas (9)(10)(11). Disadvantageous beliefs, such as fatalism, are also more common among rural populations and those with lower educational attainment (12)(13). Fatalism is characterized by feelings of powerlessness to prevent or survive cancer and believing that external forces are in control (13). ...
... Disadvantageous beliefs, such as fatalism, are also more common among rural populations and those with lower educational attainment (12)(13). Fatalism is characterized by feelings of powerlessness to prevent or survive cancer and believing that external forces are in control (13). Individuals with these beliefs are less likely to engage in preventive behaviors like cancer screening, healthy diet, exercise, and smoking cessation (14)(15)(16)(17). ...
... Beliefs about cancer and cancer prevention influence engagement in preventive behaviors (13). We found strong evidence for differences in cancer beliefs by educational attainment. ...
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Compared with urban areas, rural areas have higher cancer mortality and have experienced substantially smaller declines in cancer incidence in recent years. In a New Hampshire (NH) and Vermont (VT) survey, we explored the roles of rurality and educational attainment on cancer risk behaviors, beliefs, and other social drivers of health. In February–March 2022, two survey panels in NH and VT were sent an online questionnaire. Responses were analyzed by rurality and educational attainment. Respondents (N = 1,717, 22%) mostly lived in rural areas (55%); 45% of rural and 25% of urban residents had high school education or less and this difference was statistically significant. After adjustment for rurality, lower educational attainment was associated with smoking, difficulty paying for basic necessities, greater financial difficulty during the COVID-19 pandemic, struggling to pay for gas (P < 0.01), fatalistic attitudes toward cancer prevention, and susceptibility to information overload about cancer prevention. Among the 33% of respondents who delayed getting medical care in the past year, this was more often due to lack of transportation in those with lower educational attainment (21% vs. 3%, P = 0.02 adjusted for rurality) and more often due to concerns about catching COVID-19 among urban than rural residents (52% vs. 21%; P < 0.001 adjusted for education). In conclusion, in NH/VT, smoking, financial hardship, and beliefs about cancer prevention are independently associated with lower educational attainment but not rural residence. These findings have implications for the design of interventions to address cancer risk in rural areas. Significance In NH and VT, the finding that some associations between cancer risk factors and rural residence are more closely tied to educational attainment than rurality suggest that the design of interventions to address cancer risk should take educational attainment into account.
... Cancer fatalistic beliefs were operationalized with questions in items M5 (a, b, c, and e): "It seems like everything causes cancer," "There is not much you can do to lower your chances of getting cancer," "There are so many different recommendations about preventing cancer, it's hard to know which ones to follow," and "When I think about cancer, I automatically think about death." These questions have been used in several previous studies to determine fatalism [47,57,58]. The last item, "When I think about cancer, I automatically think of death," was new to this survey. ...
Article
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https://aging.jmir.org/2023/1/e44777 Background: Despite the role of health information technology (HIT) in patient engagement processes and government incentives for HIT development, research regarding HIT is lacking among older adults with a high burden of chronic diseases such as cancer. This study examines the role of selected sociodemographic factors and cancer-related fatalistic beliefs on patient engagement expressed through HIT use for patient engagement in adults aged ≥65 years. We controlled for cancer diagnosis to account for its potential influence on patient engagement. Objective: This study has 2 aims: to investigate the role of sociodemographic factors such as race, education, poverty index, and psychosocial factors of cancer fatalistic beliefs in accessing and using HIT in older adults and to examine the association between access and use of HIT in the self-management domain of patient activation that serves as a precursor to patient engagement. Methods: This is a secondary data analysis of a subset of the Health Information National Trend Survey (Health Information National Trend Survey 4, cycle 3). The subset included individuals aged ≥65 years with and without a cancer diagnosis. The relationships between access to and use of HIT to several sociodemographic variables and psychosocial factors of fatalistic beliefs were analyzed. Logistic and linear regression models were fit to study these associations. Results: This study included 180 individuals aged ≥65 years with a cancer diagnosis and 398 without a diagnosis. This analysis indicated that having less than a college education level (P=<.001), being an individual from an ethnic and minority group (P=<.001), and living in poverty (P=.001) were significantly associated with decreased access to HIT. Reduced HIT use was associated with less than a college education (P=.001) and poverty(P=.02). This analysis also indicated that fatalistic beliefs about cancer were significantly associated with lower HIT use (P=.03). Specifically, a 1-point increase in the cancer fatalistic belief score was associated with a 36% decrease in HIT use. We found that controlling for cancer diagnosis did not affect the outcomes for sociodemographic variables or fatalistic beliefs about cancer. However, patients with access to HIT had a self-management domain of patient activation (SMD) score of 0.21 points higher (P=.003) compared with patients who did not have access. SMD score was higher by 0.28 points (P=.002) for individuals who used HIT and 0.14 points higher (P=.04) who had a prior diagnosis of cancer. Conclusions: Sociodemographic factors (education, race, poverty, and cancer fatalistic beliefs) impact HIT access and use in older adults, regardless of prior cancer diagnosis. Among older adults, HIT users report higher self-management, which is essential for patient activation and engagement.
... Data from the 2020 National Immunization Survey-Teen (NIS-Teen) showed that vaccination coverage was lower among adolescents living in non-metropolitan statistical areas (MSAs) compared to that of those living in MSA cities [15]. Different barriers to HPV vaccine uptake among rural residents could include poor awareness regarding cancer risks and prevention, significant stigma about sexually transmitted infections, fewer health insurance options, and limited access to healthcare providers and preventive care [16][17][18]. ...
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Human papillomavirus (HPV) is a common sexually transmitted infection, with over 40% prevalence in the US. Oropharyngeal cancers (OPCs) driven by high-risk HPV are increasing (up to 90%), with HPV vaccination being the only prevention available. The aim of this study was to investigate HPV vaccination among patients aged between 18 and 26 years old with at least one encounter at a large healthcare system and identify sociodemographic factors associated with vaccine initiation and completion. A cross-sectional retrospective study was conducted between 2018 and 2021, including 265,554 patients identified from the Clinical Data Warehouse. HPV vaccination status by age, sex, race/ethnicity, insurance type, primary care (PCP) visits in the past year, alcohol, tobacco, illicit drug use, and age at vaccination was examined. Overall, 33.6% of females and 25.4% of males have completed the HPV vaccine. Black Americans were 35% more likely to initiate the vaccine than White Americans but were less likely to complete the entire course. Overall, HPV vaccination prevalence was far below the Health People 2030 goal of 80%, especially in young males. This low rate is troubling, since many patients had a PCP visit and remained unvaccinated, which serves as a missed opportunity for vaccination.
... Second, greater awareness and understanding of rural identities may help inform strategies to overcome fatalism and fatalistic attitudes long evidenced in rural health research (34)(35)(36)(37). This could inform understanding of delay or dismissal of help seeking, treatment engagement, and adoption of health behaviors to improve rural cancer prevention education and interventions. ...
... Compounding modifiable risks, rural residents also face a multitude of barriers to healthcare access, including cultural norms, financial constraints, limited services, and insufficient public transportation [9][10][11][12][13][14][15][16][17]. Physician shortages and Health Profession Shortage Areas are more common, with only 12% of primary care physicians working in rural areas (and 8% of specialty physicians) [18]. ...
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Rural cancer disparities are associated with lesser healthcare access and screening adherence. The opioid epidemic may increase disparities as people who use drugs (PWUD) frequently experience healthcare-associated stigmatizing experiences which discourage seeking routine care. Rural PWUD were recruited to complete surveys and interviews exploring cancer (cervical, breast, colorectal, lung) risk, screening history, and healthcare experiences. From July 2020–July 2021 we collected 37 surveys and 8 interviews. Participants were 24.3% male, 86.5% White race, and had a mean age of 44.8 years. Females were less likely to report seeing a primary care provider on a regular basis, and more likely to report stigmatizing healthcare experiences. A majority of females reporting receiving recommendations and screens for cervical and breast cancer, but only a minority were adherent. Similarly, only a minority of males and females reported receiving screening tests for colorectal and lung cancer. Screening rates for all cancers were substantially below those for the US generally and rural areas specifically. Interviews confirmed stigmatizing healthcare experiences and suggested screening barriers and possible solutions. The opioid epidemic involves millions of individuals and is disproportionately experienced in rural communities. To avoid exacerbating existing rural cancer disparities, methods to engage PWUD in cancer screening need to be developed.
Article
The purpose of this study is to examine the association between parents’ fatalism about melanoma and their children’s sun protection, and the potential moderating role of parent-child communication. In this observational study of N = 69 melanoma-surviving parents of children ages 8–17, parents reported on their own melanoma fatalism, as well as their children’s sun safety behaviors and parent-child discussion about sun safety. Parent gender, family history of melanoma, and frequency of parent-child discussions moderated the relationship between parents’ fatalism and children’s sun safety behaviors. Among mothers and parents with a family history of melanoma, high fatalism was associated with lower child sunscreen use, especially when discussions were less frequent. Melanoma surviving parents’ fatalistic beliefs about cancer indirectly influence their children’s health behavior and are a risk factor for unsafe sun behavior. Attending to parent gender, family history, and their communications about protective behaviors as co-factors of this risk could inform future intervention targeting.
Article
Background The coronavirus disease 2019 (COVID-19) pandemic and associated infodemic increased depression and anxiety. Proper information can help combat the infodemic and promotes mental health; however, rural residents have more difficulties in getting correct information than urban residents. Objective To examine whether the information on COVID-19 provided by the local government maintained the mental health of rural residents in Japan. Methods A self-administered questionnaire survey of Okura Village (northern district of Japan) residents aged ≥16 years was conducted in October 2021. The main outcomes, depressive symptoms, psychological distress, and anxiety were measured using the Center for Epidemiologic Studies Depression Scale, Kessler Psychological Distress Scale, and Generalized Anxiety Disorder scale 7-item. Exposure was defined as whether the resident read the leaflet on COVID-19 distributed by the local government. The targeted maximum likelihood estimation was used to analyse the effect of leaflet reading on the main outcomes. Results A total of 974 respondents were analysed. Reading the leaflet was significantly lower risk for depressive symptoms relative risk (95% confidence interval): 0.64 (0.43–0.95). Meanwhile, no clear effects of leaflet reading were observed on mental distress and anxiety. Conclusions In rural areas with local governments, analogue information may be effective to prevent depression.
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Article
Background Despite the role of health information technology (HIT) in patient engagement processes and government incentives for HIT development, research regarding HIT is lacking among older adults with a high burden of chronic diseases such as cancer. This study examines the role of selected sociodemographic factors and cancer-related fatalistic beliefs on patient engagement expressed through HIT use for patient engagement in adults aged ≥65 years. We controlled for cancer diagnosis to account for its potential influence on patient engagement. Objective This study has 2 aims: to investigate the role of sociodemographic factors such as race, education, poverty index, and psychosocial factors of cancer fatalistic beliefs in accessing and using HIT in older adults and to examine the association between access and use of HIT in the self-management domain of patient activation that serves as a precursor to patient engagement. Methods This is a secondary data analysis of a subset of the Health Information National Trend Survey (Health Information National Trend Survey 4, cycle 3). The subset included individuals aged ≥65 years with and without a cancer diagnosis. The relationships between access to and use of HIT to several sociodemographic variables and psychosocial factors of fatalistic beliefs were analyzed. Logistic and linear regression models were fit to study these associations. Results This study included 180 individuals aged ≥65 years with a cancer diagnosis and 398 without a diagnosis. This analysis indicated that having less than a college education level (P=<.001), being an individual from an ethnic and minority group (P=<.001), and living in poverty (P=.001) were significantly associated with decreased access to HIT. Reduced HIT use was associated with less than a college education (P=.001) and poverty(P=.02). This analysis also indicated that fatalistic beliefs about cancer were significantly associated with lower HIT use (P=.03). Specifically, a 1-point increase in the cancer fatalistic belief score was associated with a 36% decrease in HIT use. We found that controlling for cancer diagnosis did not affect the outcomes for sociodemographic variables or fatalistic beliefs about cancer. However, patients with access to HIT had a self-management domain of patient activation (SMD) score of 0.21 points higher (P=.003) compared with patients who did not have access. SMD score was higher by 0.28 points (P=.002) for individuals who used HIT and 0.14 points higher (P=.04) who had a prior diagnosis of cancer. Conclusions Sociodemographic factors (education, race, poverty, and cancer fatalistic beliefs) impact HIT access and use in older adults, regardless of prior cancer diagnosis. Among older adults, HIT users report higher self-management, which is essential for patient activation and engagement.
Article
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There is evidence that we may be more likely to share stories about other people to the extent that they arouse emotion. If so, this emotional social talk may have important social consequences, providing the basis for many of our social beliefs and mobilising people to engage or disengage with the targets of the talk. Across three studies, we tested the situated communicability of emotional social information by examining if the ability of emotionality to increase communicability would depend on the emotion that was aroused and the identity of the audience. Study 1 showed that participants were more willing to share social anecdotes that aroused interest, surprise, disgust and happiness with an unspecified audience. Study 2 provided a behavioural replication of these findings. Study 3 showed that the communicability of emotional social talk did vary with audience identity (friend or stranger). Together, these findings suggest that emotional social events (particularly those that arouse disgust and happiness) are likely to become part of a society's social beliefs, with important consequences for the structure of social relationships. Copyright © 2008 John Wiley & Sons, Ltd.
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Little is known about access, sources, and trust of cancer-related information, or factors that facilitate or hinder communication on a populationwide basis. Through a careful developmental process involving extensive input from many individuals and organizations, the National Cancer Institute (NCI) developed the Health Information National Trends Survey (HINTS) to help fill this gap. This nationally representative telephone survey of 6,369 persons aged !18 years among the general population was first conducted in 2002–2003, and will be repeated biennially depending on avail-ability of funding. The purpose of creating a population survey to be repeated on a cyclical basis is to track trends in the public's rapidly changing use of new The authors gratefully acknowledge the contributions of, without whom launching a new survey program would not have been possible.
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BACKGROUND: To explore contextual effects and to test for interactions, this study examined how breast cancer stage at diagnosis among U.S. women related to individual- and county-level (contextual) variables associated with access to health care and socioeconomic status. METHODS: Individual-level incidence data were obtained from the National Program of Cancer Registries (NPCR) and the Surveillance, Epidemiology and End-Results (SEER) program. The county of residence of women with diagnosed breast cancer (n = 217,299) was used to link NPCR and SEER data with county-level measures of health care access from the 2004 Area Resource File (ARF). In addition to individual-level covariates such as age, race, and Hispanic ethnicity, we examined county-level covariates (residence in a Health Professional Shortage Area, urban/rural residence; race/ethnicity; and number of health centers/clinics, mammography screening centers, primary care physicians, and obstetrician-gynecologists per 100,000 female population or per 1000 square miles) as predictors of stage of breast cancer at diagnosis. RESULTS: Both individual-level and contextual variables are associated with later stage of breast cancer at diagnosis. Black women and women of "other race" had higher odds of receiving a diagnosis of regional or distant stage breast cancer (P <0.0001 and P = 0.02). With adjustment for age, Hispanics were more likely to receive a diagnosis of later stage breast cancer than non-Hispanics (P <0.0.001). Women living in areas with a higher proportion of black women had greater odds of receiving a diagnosis of regional or late stage breast cancer compared with women living in areas with the lowest proportion of black women. The same was noted for women living in areas with intermediate proportions of Hispanic women (age-adjusted odds ratio [OR], 0.94; 95% confidence interval [CI], 0.92-0.97]. Other important contextual variables associated with stage at diagnosis included the percentage of persons living below the poverty level and the number of office-based physicians per 100,000 women. Women living in counties with a higher proportion of persons living below the poverty level or fewer office-based physicians were more likely to receive a diagnosis of later stage breast cancer than those living in other counties (P < 0.001). In multivariable analysis, residence in areas with a higher proportion of non-Hispanic black women modified the associations of age and Hispanic ethnicity with later stage breast cancer (P = 0.0159 and P = 0.0002, respectively). CONCLUSIONS: This study found that county-level contextual variables related to the availability and accessibility of health care providers and health services can affect the timeliness of breast cancer diagnosis. This information could help public health officials develop interventions to reduce the burden of breast cancer among U.S. women.
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In most cases, patient preferences are crucial in making good health care decisions. For example, choices between chemotherapy and radiation treatment usually hinge on trade-offs that only patients can decide about. In recognition of the importance of patient preferences in clinical decisions, health services researchers have begun developing decision aids to help patients understand complex medical information. But these decision aids might lead to “bad choices”—choices that are inconsistent with people’s stated preferences. In this paper, the author provides examples of how people make inconsistent medical decisions, and briefly discusses future directions for exploring ways of structuring information so that patients are less likely to make inconsistent choices.
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Objective. —To collect information regarding knowledge about and attitudes toward cancer in a sample of adult health plan members, self-identified as Latino or Anglo.
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Purpose: Rural residents have higher rates of chronic diseases compared to their urban counterparts, and obesity may be a major contributor to this disparity. This study is the first analysis of obesity prevalence in rural and urban adults using body mass index classification with measured height and weight. In addition, demographic, diet, and physical activity correlates of obesity across rural and urban residence are examined. Methods: Analysis of body mass index (BMI), diet, and physical activity from 7,325 urban and 1,490 rural adults in the 2005-2008 National Health and Nutrition Examination Survey (NHANES). Findings: The obesity prevalence was 39.6% (SE = 1.5) among rural adults compared to 33.4% (SE = 1.1) among urban adults (P= .006). Prevalence of obesity remained significantly higher among rural compared to urban adults controlling for demographic, diet, and physical activity variables (odds ratio = 1.18, P= .03). Race/ethnicity and percent kcal from fat were significant correlates of obesity among both rural and urban adults. Being married was associated with obesity only among rural residents, whereas older age, less education, and being inactive was associated with obesity only among urban residents. Conclusions: Obesity is markedly higher among adults from rural versus urban areas of the United States, with estimates that are much higher than the rates suggested by studies with self-reported data. Obesity deserves greater attention in rural America.
Article
Rural‐urban comparisons have identified higher age‐, race‐, and sex‐adjusted cancer incidence and mortality rates in urban populations for most anatomic sites, suggesting that rural populations are at lower risk from cancer. Conversely, findings that rural cancer patients are diagnosed at later stages of disease, that higher proportions of rural cancer cases are unstaged at diagnosis, and that rural cancer patients are at a more advanced stage of illness when referred to home health care agencies, suggest that rural cancer patients are disadvantaged when compared to their urban counterparts. This paper summarizes rural‐urban patterns of cancer mortality, incidence, and survivorship since 1950; outlines rural‐urban differences in utilization of health care services; questions the appropriateness of using rural‐urban comparisons of cancer mortality and incidence to evaluate access to cancer care; and suggests potential approaches to the question of whether rural residents have access to cancer care comparable to that available to urban residents.
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There is concern that rural residents may be less likely to engage in behaviors to reduce their risk for skin cancer compared with urban residents. First, we sought to determine whether rural residents are less likely to use sunscreen and engage in other skin cancer preventive measures. Second, we sought to determine whether such actions are sufficiently explained by factors known to affect these behaviors or whether such actions are affected by rurality. We analyzed the 2005 Health Information National Trends Survey, a survey of the noninstitutionalized, adult population performed by the National Cancer Institute. We used logistic regression analysis to adjust for confounding by age, race, income, education, health insurance, smoking, sex, marital status, and region. Compared with urban residents, rural residents were 33% less likely (odds ratio = 0.67; 95% confidence interval, 0.57-0.80) to wear sunscreen when exposed to the sun for more than 1 hour. After adjusting for the above confounding variables, however, rural individuals were just as likely as urban individuals to use sunscreen with sun exposure. Inability to adjust for unmeasured confounding variables, such as occupational sun exposure, is a limitation. Rural residents were less likely to use sunscreen. This decreased use of sunscreen, however, was explained by differences in age, race, income, education, and other confounding factors that negatively influence the use of sunscreen.