Participants
The sample of the present study was composed
of 379 women and 318 men (N = 697) as two groups:
university students and non-students. The mean age for
the entire sample was 27.59 (SD = 1.46). 422 univer-
sity students from two private and two state universities
in Ankara, Turkey participated in the study voluntarily.
This sample included 281 (66.60 %) women and 141
66 Turkish Journal of Psychology
(33.40 %) men with a mean age of 20.70 (SD = 1.33)
ranging from 17 to 34. The non-student group consisted
of 275 participants, 98 (35.60 %) women and 177 (64.40
%) men with a mean age of 38.16 (SD = 1.64) ranging
from 16 to 86.
Materials
The measurement tool of the present study includ-
ed four main sections: (1) demographic information and
descriptive questions regarding H1N1, (2) perception of
H1N1, possible causes, control methods and attitudes to-
ward the vaccine, (3) avoidance behaviors, and (4) anxi-
ety measurement. In the demographic data sheet, partici-
pants were asked to indicate their age, gender, education
and employment status. This section also included some
global questions such as the perceived dangerousness of
H1N1, the level of worry about catching the disease and
the predicted duration of the pandemic.
Perception Scales. The perception sections of the
present study were designed to utilize a factor analytic
strategy in order to elicit participants’ causal attribu-
tions. For the purpose of this section, a group of items
was generated by the author in order to assess partici-
pants’ attributions for H1N1 as a disease, possible causes
of the disease and the outbreak, control methods and at-
titudes toward the vaccine. Therefore, three perception
scales were used in the study: (1) Perception of H1N1
(2) Causes of H1N1, and (3) Control of H1N1. Attti-
tudes toward the vaccine were measured by a separate
scale. For all scales, the participants were asked to use
a fi ve-point Likert-type scale to indicate their agreement
for a given statement (1 = not agree at all, 5 = certainly
agree). Therefore, higher mean scores indicated higher
agreement of participants on scales and components.
Some items in the scales were written as negative state-
ments in order to prevent response biases, and they were
reversed before statistical analyses. The psychometric
properties of the perception scales are presented in the
results section.
Avoidance Behaviors. Cognitive and behavioral
avoidance was measured by 14 items generated by the
author with the same methodology described above. Par-
ticipants were asked to indicate their frequency of avoid-
ance behaviors in the previous week on a given Likert-
type scale ranging from one to fi ve (1 = I never did this
behavior, 5 = I frequently did this behavior). Therefore,
the increasing mean scores in this scale indicated higher
frequencies of avoidance behaviors engaged in by the
participants during the previous week.
Trait Anxiety Inventory (TAI). Anxiety was mea-
sured by TAI form of State-Trait Anxiety Inventory
(STAI) developed by Spielberger, Gorsuch and Lushene
(1970) and adapted to Turkish by Öner and Le Compte
(1975). TAI is a 20-item self-report scale which measures
individuals’ general response tendency and individual
differences in experiencing anxiety in the face of threat-
ening or stressful situations. Each item on TAI is rated
between 1 to 4 (1 = Almost never, 4 = Almost always)
and 7 items are reversed before scoring. Increasing total
scores on the scale indicate higher level of trait anxiety.
The internal consistency of the scale in this study was
.84.
Procedure
The data of the study was collected in two ways de-
pending on the samples enrolled. The data from universi-
ty students was collected in class sessions on a voluntary
basis. However, the data from the non-student group was
collected by conventional methods. The administration
of the questionnaires took approximately 15 minutes.
All participants were informed about the purpose of the
study and confi dentiality before the data collection.
Results
Pre-analyses
Perception, Attitude, Avoidance, and Anxiety
Measures. A 2 (gender) x 2 (status) MANOVA was per-
formed on general questions before the main analyses.
MANOVA results indicated that gender (F
2,649
= 16.24,
p < .05, η
2
= .04) and status (F
2,649
= 5.01, p < .05, η
2
=
.01) had main effects on dependent variables. The gen-
eral worry of women about the disease (M = 3.15, SD =
1.17) was signifi cantly higher than men (M = 2.74, SD =
1.20), (F
1,650
= 20.90, p < .05, η
2
= .03). The predicted du-
rations of the outbreak also differed signifi cantly (F
1,650
=
9.11, p < .05, η
2
= .01). Men predicted signifi cantly high
duration (M = 7.12 months, SD = 5.60) than women (M
= 6.23 months, SD = 4.60). Status had a main effect on
only the predicted duration (F
1,650
= 7.31, p < .05, η
2
=
.01) where students ( M = 6.93, SD = 5.47) predicted du-
ration of the outbreak longer than the nonstudents (M =
6.17, SD = 4.44). Principal Component Analysis (PCA)
with Varimax rotation was used in analyzing all percep-
tion, attitude and and avoidance scales.
Perception of H1N1. The scale consisted of 8 items
regarding the perception of H1N1. PCA with 8-item scale
revealed 2 components. The fi rst component consisted of
5 items that were related to participants’ perception of
the dangerousness of the disease. The second compo-
nent consisted of 3 items concerning how participants
perceived the contagiousness of the disease. The two
components explained 52.62 % of total variance with an
acceptable internal consistency (.69).
Causes of H1N1. The fi rst component of the scale
consisted of 6 items that were related to conspiracy be-
liefs presented in mass media and shared by the public.
The second component, named as environment, con-
Perception of H1N1, Anxiety and Avoidance 67
sisted of 8 items pertaining to social and physical envi-
ronment as possible causes of the H1N1 outbreak. The
last component, faith, consisted of four items examining
participants’ religious and spiritual beliefs regarding the
causes of the H1N1 pandemic. These three components
explained 51.93 % of total variance. The internal consis-
tency for the total scale was found to be .80.
Control of H1N1. This scale consisted of 18 items
aiming to explore participants’ beliefs about how to con-
trol the outbreak at different levels (personal, institu-
tional, global). The macro control component consisted
of statements pertaining to participants’ beliefs about the
effi cacy of measures implemented at institutional, na-
tional and global levels. The second component, named
as personal control, consisted of items regarding beliefs
about the effi cacy of measures taken personally. The last
component consisted of four items and explored beliefs
about the unavoidability of being infected by the virus.
The component explained 14.08 % of the total variance
and had an internal consistency of .63. The total variance
explained by the three components of Control of H1N1
was 56.46 %. The internal consistency of the total scale
was .76.
Attitudes toward the Vaccine. This scale was de-
signed to explore participants’ attitudes toward the H1N1
vaccine that was developed and implemented during the
outbreak. The two components of the scale were named
as positive attitude and negative attitude. The total vari-
ance explained by the two components was 55.93 %.
Internal consistencies for positive attitude, negative at-
titude and total scale were .85, .67 and .82 respectively..
Avoidance Behaviors. The fi rst component of
the scale consisted of 7 items that were mostly related
to cognitive avoidance behaviors, such as directing at-
tention to or thinking about other things. Public place
avoidance, was composed of four items that aimed to
measure the frequency of avoidance behaviors that
the participants engaged in, such as not visiting shop-
ping centers or not using public transportation. The last
component of avoidance behaviors scale was personal
contact, which consisted of three items measuring the
frequency of avoidance behaviors, such as not shak-
ing hands or touching other people while greeting, and
avoiding public toilets. The internal consistency for the
total scale was found to be .83. The three components of
the scale explained 59.37 % of the total variance.
Multivariate Analysis of Variance (MANOVA) and Hi-
erarchical Regression Analysis
The effects of gender and status on depending
variables were tested by MANOVA. For this purpose
a 2x2 (gender x status) MANOVA was performed on
the components of perception of H1N1(dangerousness,
contagiousness), perception of causes of H1N1 (con-
spiracy, environment, faith), perception of control of
H1N1 (macro control, personal control, unavoidability),
attitudes toward the vaccine (positive attitude, negative
attitude), avoidance behaviors (cognitive avoidance,
public place avoidance, personal contact, mean avoid-
ance) and TAI scores as dependent variables. With the
use of Wilks’ criterion, the main effects for both gender
(F
15,668
= 4.77, p < .05, η
2
= .09) and status (F
15,668
= 6.13,
p < .05, η
2
= .12) were obtained.
The analyses revealed that gender had a signifi cant
effect on the contagiousness component indicating that
women (M = 4.09, SD = 0.82) perceived the disease as
more contagious than men did (M = 3.92, SD = 0.96).
Another signifi cant gender difference was observed
on mean faith scores. Men had higher mean scores on
this component (M = 1.84, SD = 0.93) than women (M
= 1.62, SD = 0.75). Consistent with this fi nding, men
also perceived the disease as more unavoidable. Means
and standard deviations of the unavoidability compo-
nent for men and women were M = 2.96, SD = 1.09 and
M = 2.74, SD = 1.00, respectively. As for the attitudes
toward the vaccine, men had signifi cantly higher mean
scores on both positive attitude (M = 2.24, SD = 1.10)
and negative attitude (M = 2.74, SD = 0.81) than women
(M
pos.att.
= 1.83, SD = 0.95; M
neg.att.
= 2.50, SD = 0.78). The
analyses revealed two signifi cant gender differences in
terms of avoidance behaviors. On the personal contact
component women had higher mean scores (M = 2.51,
SD = 1.20) than men ( M = 2.17, SD = 1.13). The mean
avoidance scores for women (M = 1.88, SD = 0.67) were
also high compared to that of men (M = 1.79, SD = 0.66).
The fi nal signifi cant gender difference was observed on
TAI scores where women (M = 42.47, SD = 8.55) had
higher total scores than men (M = 40.49, SD = 7.57).
The analyses also revealed signifi cant differences
in the dependent variables due to the status of the par-
ticipants. The mean faith scores of the student group (M
= 1.87, SD = 0.96) were signifi cantly higher than those
of non-students (M = 1.63, SD = 0.74), indicating that
students attributed the possible causes of the outbreak
to religious and spiritual sources more than the non-stu-
dents. In the control of H1N1, two signifi cant differences
were observed. The non-student group (M = 2.71, SD =
0.91) placed more emphasis on macro control measures
taken by global, national and institutional authorities in
stopping the outbreak compared to the student group (M
= 2.25, SD = 0.83). The unavoidability mean scores of
the student group (M = 2.93, SD = 1.02) was found to be
signifi cantly higher than those of the non-student group
(M = 2.72, SD = 1.07). Regarding the attitudes toward
the vaccine, the non-student group had higher scores on
both positive attitude (M = 2.32, SD = 1.13) and negative
attitude (M = 2.75, SD = 0.84) than students (M
pos.att.
=
1.82, SD = 0.92; M
neg.att.
= 2.51, SD = 0.77).
68 Turkish Journal of Psychology
As for avoidance behaviors, all mean scores dif-
fered signifi cantly between groups except for cognitive
avoidance. The mean scores of the non-student group
for public place avoidance (M = 1.71, SD = 0.85), per-
sonal contact (M = 2.46, SD = 1.20) and mean avoidance
scores (M = 1.91, SD = 0.70) were signifi cantly higher
than that of the student group (M = 1.46, SD = 0.70; M =
2.29, SD = 1.16; M = 1.79, SD = 0.64, respectively).
The only gender x status interaction effect was ob-
tained for the unavoidability component (F
1,682
= 3.93,
p < .05, η
2
= .01). Post-hoc analyses using Tukey’s HSD
revealed that the unavoidability scores of non-student
women (M = 2.39, SD = 0.10) were signifi cantly lower
than those of non-student men (M = 2.90, SD = 1.09),
student women (M = 2.87, SD = 0.99) and student men
(M = 3.04, SD = 1.08).
Hierarchical Regression Analysis was performed
to assess the predictive role of the components of percep-
tion and attitude scales and anxiety measures on mean
avoidance scores. Gender and status variables were en-
tered in the fi rst block and after their effects were con-
trolled, other variables (dangerousness, contagiousness,
conspiracy, environment, faith, macro control, personal
control, unavoidability, positive attitude, negative atti-
tude and TAI) were entered as the second block.
The Hierarchical Regression Analysis revealed that
both the fi rst (R = .13, F
2,683
= 5.83, p < .001) and the
second block ( R = .31, F
11,672
= 5.86, p < .05) variables
predicted mean avoidance scores. While the fi rst block
variables explained 1 % of the variance, the variables
in the second block explained 10 % of the variance.
The gender (β = -.09, p < .05) and status (β = -.12, p <
.05) variables in the fi rst block had negative effects on
avoidance behaviors. In other words, avoidance scores
of the women and non-student participants were higher.
Among the second block variables, after controlling the
effects of gender and status, dangerousness (β = -.08, p <
.05), faith (β = -.08, p < .05), personal control (β = -.11,
p < .001) and TAI (β = -.12, p < .001) had signifi cant ef-
fects on avoidance behaviors.
Discussion
In the present study we investigated H1N1-related
perceptions and their relationship with anxiety and avoid-
ance behaviors observed during the swine fl u pandemic
in Turkey. The results of the study suggest that there exist
some gender differences in perceiving the disease-related
components. Women participants in our study perceived
the disease as more contagious than men did, and their
total anxiety scores were higher. In our case, women’s
perceptions of high contagiousness may be interpreted
as higher perceived risk of being infected. Therefore, for
women, a relationship between higher level of anxiety
and increased risk perception can be expected. A simi-
lar pattern was obtained during the initial phase of the
pandemic in France (Raude & Setbon, 2009) and Turkey
(Akan, 2010).
Our fi ndings with respect to women’s higher
anxiety and perception of contagiousness become more
meaningful if they are considered together with their
personal contact avoidance and higher mean avoidance
scores. Since women experienced greater anxiety and
believed that the disease was contagious, they may have
exhibited more frequent avoidance behaviors. One pos-
sibility to account for gender difference in the avoidance
of personal contact is the combination of high risk per-
ception and high level of anxiety on the part of women.
One important point that should be explored regarding
avoidance behaviors is that some of the avoidance be-
haviors investigated in this study were also recommend-
ed personal measures by health authorities to prevent the
disease from spreading. For this reason, personal contact
avoidance behaviors can be accepted as non-pharma-
ceutical preventive behaviors as well. In the literature,
there exists evidence that females have a tendency to
initiate touching behaviors more than males, and same-
gender touching among females is more frequent than
males (Stier & Hall, 1984). One may argue that although
females touch more in social contexts, they have a ten-
dency to decrease their frequency of touching behaviors
when needed such as during infectious pandemics. For
these reasons, women’s tendency toward higher personal
contact avoidance has several practical implications.
First, it can be argued that since women are more sensi-
tive to (or anxious about) diseases and avoid more, pub-
lic campaigns during pandemics may target women pri-
marily to develop protective behaviors. This may lead to
increased visibility of desirable behaviors in society such
as washing hands, not touching others while greeting,
and these behaviors may be modeled by others. Second,
women in traditional families are the primary caregivers.
Therefore, they may disseminate desirable behaviors not
only to children but also to others such as the elderly. In
sum, our study supports a high risk perception-anxiety-
avoidance linkage model for women.
The differences on the part of males can also be
interpreted consistently in themselves. Among the causal
attributions made by men, faith had signifi cantly higher
mean scores compared to women. That is, the men in the
study placed more emphasis on religious and spiritual
beliefs in explaining the causes of the disease. A similar
attributional pattern in men was obtained in another study
that utilized the same methodology in Turkey (Çırakoğlu,
Kökdemir, & Demirutku, 2003). In this study men rated
religious practices as more useful than women in the
treatment of unipolar depression. The results of these
studies propose that men tend to attribute causes of some
Perception of H1N1, Anxiety and Avoidance 69
phenomena to uncontrollable factors such as faith. In ad-
dition, the present study indicated a higher perception
of the unavoidability of the disease in men. This fi nding
may be more meaningful if it is interpreted together with
men’s ratings for faith attributions. Since men explain
the causes of the pandemic by referring more to uncon-
trollable sources, such as religious and spiritual factors,
it can be expected that they may perceive the disease as
more unavoidable.
As for the attitudes toward the vaccine, men had
signifi cantly higher scores on both positive and negative
opinion components. In fact, confl icting or vague opin-
ions about vaccines for fl us are not new (Mangtani et al.,
2006; Wicker, Rabenau, Doerr, & Allwinn, 2009). In our
study, men’s higher emphasis on faith and unavoidability
beliefs may have resulted in making attributions with-
out questioning or without considering the available data
in deciding about the effi cacy of the vaccine. In sum,
when we consider the results in the light of desirable or
functional health behaviors during pandemic diseases, it
is worth proposing that, compared to men, women have
some more favorable behaviors (e.g., decreasing the fre-
quency of physical contact while greeting).
In addition to gender, the results of our study also
indicated some signifi cant differences in terms of the sta-
tus of participants. The mean faith scores of the student
group were signifi cantly higher than those of non-stu-
dents. When considered together with the higher educa-
tional level of the student group, this was an unexpect-
ed fi nding. This difference may stem from the student
group’s more limited experience of pandemics, which
may have caused an unrealistic perception of the disease.
Another possible explanation may be the increasing con-
servative tendencies in Turkey (Yılmaz, 2006).
The difference in the unavoidability components
can also be explained through the daily routines of the
sample groups. Although we did not collect information
regarding working conditions (e.g., place, working hours
etc.) in the study, it can be suggested that the student
sample may have perceived their classrooms as a place
where the probability of catching the disease is higher
compared to the work places of non-students.
In terms of the predictors of avoidance behaviors,
our data proposed that being a woman, having a job, an
increased perception of dangerousness, higher beliefs
in faith, higher beliefs in personal measures and higher
anxiety level predicted avoidance behaviors.
This study has some limitations mostly due to cer-
tain practical reasons. Our study has a time-sensitive
problem similar to that proposed by Leung et al. (2005).
During the period of data collection the offi cial number
of deaths announced by the national and global health
authorities (WHO or the Turkish Ministry of Health)
due to H1N1 was increasing. The number of death cases
and increasing media coverage could have caused cer-
tain changes in the perception of lay people and, in turn,
these possible changes may have had contaminating ef-
fects on the present data. Therefore, these results should
be considered cautiously. Although the study revealed
meaningful and interpretable results, the sample size
may be considered “insuffi cient” for a lay theory study
investigating the perception of a world-wide pandemic.
Also, the relatively small sample size did not allow mak-
ing statistical analyses based on certain variables (e.g.,
age, working conditions, social contact with infected in-
dividuals, sources of information etc.), which may nor-
mally have effects on perceptions, attitudes, anxiety and
avoidance levels.
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