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Global Journal of Health Science
Vol. 2, No. 2; October 2010
Comparison of Physiological and Psychological Well-Being in
Physical Active and Sedentary Women in Iran
Parichehr Hanachi (Corresponding author)
Faculty of science, Biology Department, Alzahra University, Tehran, Iran
Tel: 98-218-804-9809
E-mail: Hanachi_wrc@yahoo.com
Parvaneh Nazar Ali
Faculty of Sport Science, Alzahra University, Tehran, Iran
E-mail: nazarali@yahoo.com
Najmeh Rezayi
Faculty of Sport Science, Alzahra University, Tehran, Iran
E-mail: najmeh_rn@yahoo.com
Latiffah A Latiff
Department of Community Health, Faculty of Medicine and Health Sciences
University Putra Malaysia, Malaysia
E-mail: latiffah.latiff@gmail.com
Abstract
Researcher has shown that habitual physical activity enhances both physiological and psychological health. The
objective of the paper was to comparison of Physiological and psychological well-being in physical active and
sedentary women in Iran.
Data of 2500 subjects (aged 15-55 years) from a five-state cross sectional study was used in this analysis.
Psychological and Physiological well being was assessed using 28-item General Health Questioner (GHQ). It
was found that 62.4% single and 69.8% married had good psychological well being. More single (13.5%) than
married (5.9%) showed poor psychological well being. There was significant difference between psychological
well being and marital status (p<0.05). The results shows that about 61.4% of not working and 63.6% of working
respondents with good psychological well being while 16.2% of not working and 10.6% of working respondents
had poor psychological well being. There was significant difference between psychological, well being and
working status (p<0.05). There was not significant difference between psychological well being and education of
the respondents. More active women respondents (68.2%) were found to have good psychological well being
compared to 56.1% of the respondents who did not. There was a significant difference between psychological
well being, age and physical activity of respondents (p<0.05). The results indicated association between
physiological and psychological well-being, as measured using a variety of psychological inventions and regular
physical exercise.
Keywords: Psychological well being, Socioeconomic factors, Health, Physical activity
1. Introduction
Exercise has both physiological and psychological benefits. Many adults find that their opportunities to socialize
are limited, and many studies have shown that social isolation is associated with poor general health (Brown et al,
1992 ).
People who exercise regularly have reported increased self-confidence, especially when performing physical
tasks. Regular exercisers have also reported other psychological benefits such as, less depression, stress, and
anxiety, and an improved outlook on life. Studies have demonstrated that sedentary lifestyle is related to
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Vol. 2, No. 2; October 2010
increased risk of lifestyle diseases (Haskell et al, 2007; Pedersen and Saltin, 2006; Lindstrom et al, 2006). Other
studies have demonstrated a decreased risk of lifestyle diseases with an increased level of physical activity and
aerobic fitness (Andersen et al, 2000; Blair et al, 1996). Physical activity is recommended as treatment as well as
prevention with regard to a number of lifestyle diseases. Despite of increasing knowledge concerning benefits of
physical activity, an increasing number of people are finding it difficult to meet the amount of health beneficial
physical activity (WHO; 2004). The results of number of studies have demonstrated a positive relationship
between exercise and mental health (Faulkner and Sparkes, 1999; Martinsen, 1993).
Researcher has shown that habitual physical activity enhances both physiological and psychological health.
Physical activity is instrumental in the prevention of coronary heart disease, hypertension, osteoporosis, and
some forms of cancer (eg, colon). In addition, physical activity builds muscle strength and endurance and
increases flexibility, all of which are necessary for the prevention of injuries and disabilities (Diane and Padden,
2002).
Psychological health indicators are important for monitoring and evaluating the health status of communities.
Psychological health problems contribute heavily to the total burden of disability in the population. It is known
that socioeconomic factors are the main determinants of psychological health as measured by the General Health
Questionnaire (GHQ) (Henderson et al, 1998). Early detection of psychiatric and physiologic morbidity and its
management shortens the duration of patients suffering and results in far less social impairment in the long term.
Emotional disorders should therefore be eliminated or minimized at an early stage for a better quality of life.
In recognition of the difficulty in keeping the individual in a physically active lifestyle, Health Psychological
research emphasize the fact that behaviour change is anchored in a psychological, social and physiological
context. In conclusion, it is essential for offering successful prescribed interventions aiming at behaviour change
that attention is directed towards psychological and social issues as well as physiological (Uexküll, 1996; Biddle
and Fox, 1998). The importance of the interaction between these factors is underlined by health psychological
research showing that these factors is underlined by health psychological research showing that these factors in
combination are influencing the individual health status and the ability and will to change behavior (Stelter et al,
2005; Mudde et al, 1998).
There are many screening instruments and rating scales available to aid the primary care doctors to detect
psychiatric and non psychotic disorder among the women. The GHQ has high sensitivity and specificity has been
proven to be a valid instrument. The method developed by Goldberg (Goldberg 1972) has been extensively used
in different settings and different cultures. It has become a commonly used instrument to detect physiologic and
psychiatric disorders such as depression, anxiety and related psychiatric morbidity. It is usually self-administered
and is based on the respondents’ assessment of their present mental state relative to their usual or normal stat
(Goldberg 1972). The method may be used in surveys or clinical settings to identify potential cases, leaving the
task of diagnosable general health to an interview.
The objective of this study was to compare the physiologic and psychology well-being in trained and sedentary
women and its association with sociodemographic factors in Iran.
2. Methodology
This study was a cross sectional study conducted in five region (North, South, Center, West and East)
representing the five geographical regions of Iran. Each of the districts in the state was classified according to
urban areas determined by Statistical Department of Iran. A total of 10 districts were chosen and the study was
carried out between 2006 to 2007 involving 2500 women aged 15-55 years, living in the selected districts. The
active women were considering for participants who exercised at least two or three times per weeks. Stratified
sampling or Multistage sampling was used. Women with a history of stroke or transient ischemic attack, cancer
diagnosed less than 5 years ago, or previous myocardial infarction were excluded from the study. The study
protocol was approved by the Scientific Advisory Committee and Ethical Committee of University Alzahra
University.
A structured questionnaire was used in collecting data on socioeconomic and demographic information such as
age, marital status, education level, and income and occupation classification.
The GHQ was explicitly designed to measure psychological and physiologic health and to detect acute or current,
psychiatrically diagnosable disorders in population studies. The questions consisted of 28 question divided to 4
parts. The first part was based on somatic symptoms, second part Anxiety, third part, social function and fourth
was depression. Each question had four responses. Each item is rated on a four-point scale (less than usual, no
more than usual, rather more than usual or much more than usual). The total score was determined by adding the
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score obtained for each answer in the questionnaire. Based on the GHQ guidelines, scores of 4 and above were
considered positive for poor psychological and physical well-being. A score of 0 indicates a good, and a score of
1-3 indicates a moderate psychological and physical well being.
2.2 Statistical Analysis
All statistical analyses were performed with using SPSS 13 (Statistical Package for Social Science). The t-test
was used to determine the association of each factor of Physiological and psychological well-being among the
respondents. The association between a determining factor, physiological and psychological well-being was
considered to be significant at p <0.05.
3. Results
The total numbers of eligible respondents from the five regions were 2550 and of these 2500 agreed to
participate, giving the response rate of 98.1%. Table 1 shows the socio-demographic data of the respondents.
There were (n=272) 10.9%`North, (n= 364), 14.6%South, (n= 1088) 43.5%Center, (n= 483), 19.3% East, (n=
293), 11.7% west Iranian providence. The 35% respondents aged was 30-45; 31% 18-30; 22%16-15 and 12%
more than 45 years. The mean age of respondents in 5 providence was 18-30, years north and south, 30-45 center,
east was <18 years. Of them 31.9% high school degree, 26.7 % diploma, 22% student, 12% university, 7% had
primary education. Most were married (58%) and single (42%). Majority of the respondents 51% were
considered themselves as working and only 49% of them not working (Table. 1)
Table. 2 shows the GHQ scores categories and reliability of this instrument was 0.844 (Alpha Cronbach),
maximum score-12 and minimum -0. Majority of physical activity women respondent score 0 in Physical Health,
Anxiety, Depression, General Health, Social function were (83.4%, 74.5%, 75.7%, 71.0%, and 63.5%), score 1-3
( 13.6%, 23.8%, 22.8%, 26.2%, and 32.6%) and score 4 above ( 2.9%, 1.7%, 1.4%, 2.8% and 3.8%) respectively.
There was significant difference (p<0.05) between physiologic and psychological, well being in 2 groups.
Table. 3 shows that 62.4% single and 69.8% married had good psychological well being. More single (13.5%)
than married (5.9%) showed poor psychological well being. There was significant difference between
psychological well being and marital status (p<0.05). About 61.4% of not working and 63.6% of working
respondents with good psychological well being. While 16.2% of not working and 10.6% of working
respondents had poor psychological well being. There was significant difference between psychological, well
being and working status (p<0.05). There was not significant difference between psychological well being and
education of the respondents. More active women respondents (68.2%) were found to have good psychological
well being compared to 56.1% of the respondents who did not. There was a significant difference between
psychological well being and physical activity of respondents (p<0.05). There was significant (p<0.05)
difference between psychological well being and age of the respondents.
4. Discussion
Several studies have found that emotional disorders are more among sedentary female than athletic women
(Buffone, 1984). This could be explained by the fact that exercisers had effect on moral growth among athletes
and non-athletes and improved outlook on life (Bredemeier and Shields, 1986). Moreover, exercise has the
potential to influence patients' physical and psychological health simultaneously (Faulkner and Biddle, 2001).
There was significant difference in active women and sedentary respondent between Physical Health, Anxiety,
Depression, General Health and Social function well being ( p<0.05). The athletic women respondent had good
physical and psychological well being compared sedentary group.
The present study also found that the prevalence of general health and emotional disorders were significantly
higher among Sedentary respondent who did not have a good physical activity. Another study reported that
regular exercisers had psychological benefits such as, less depression, stress, and anxiety, and an improved
outlook on life (Brown et al, 1992).
The current study found that emotional disorders had the highest prevalence among the respondents had >45
years age, however it was not significant. The present study shows that the overall prevalence of psychological
disorders among the active women and sedentary was 2.9% 9.8% respectively. More married respondents had
good psychological well being compared to single respondents. Mental disorders occur more frequently in
working respondents but this can be explained by the socioeconomic and social activity status of the residents
(Sijmen and Aart, 1998)
Married respondents had good psychological well being compared to respondents in the single category. Only
about 5.9% of the married respondents had poor psychological well being compared to other category. We
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Vol. 2, No. 2; October 2010
believe this is as a result of the lack of support and loneliness among the respondent who remain unmarried. This
is supported by the study of Sumihisa et al, 2002.
There are different hypothesis for explanation of affective changes in physiologic and neuro-physiological. One
of the model known as the hypothermic model. This suggests that the primary stimulus for promoting affective
change is the elevation in body temperature from exercise, and this alteration in physiological state is manifested
in a number of responses that are orchestrated by the hypothalamus. Specifically, in relation to exercise, Horne
and Staff, 1983 concluded from their counterbalanced design that high intensity exercise and passive heating
produced similar increases in slow wave sleep (relaxation effect) and that exercise may be a vehicle for these
effects.
The endorphin hypothesis proposes that the effects of acute exercise on psychological well-being, in particular
‘euphoria’, is caused by the release and subsequent binding of endogenous opiods, these being -endorphins to
receptor sites in the brain (Steinberg and Sykes, 1985). The endorphin hypothesis originated from early research
on rat brain tissue that revealed significant increases in opiate receptor occupancy after the rats had been forced
to exercise (Wardlaw and Frantz, 1980).
Respondents from the age category of 15-18 years had good psychological well being compared to the older age
groups. Respondents in the age category of >45 years had more poor psychological well being compared to the
other age groups.
However, there significant (p<0.05) association between age category and psychological well being. Similar
finding was reported by Johnson and Cooper, 2003; Yuriko and Masumi, 2003 show that psychological well
being decreased significantly with increasing age in both genders13 consistent with this study.
5. Conclusion
This report shows that the current state of knowledge on the relationship of physical activity to the health and
social needs of Iranian women warrants the serious attention of public health officials, educators and sport
leaders.
Early detection of psychiatric morbidity and its determinants by using such screening instrument can help in
planning psychiatric services for the women and thereby contributing towards their physiologic and
psychological well-being. Therefore girls should be encouraged to get involved in sport and physical activity at
an early age because such involvement reduces the developing a number of health problems and related
conditions in elderly.
Acknowledgment
The author would like to thank the following academic institutions for funding this study: the Faculty of Sport
Sciences and Deputy of Research, Alzahra University, Tehran-Iran.
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Table 1. Social demographic characteristic of respondents (n=2500)
Socio-demographic profile
Region classification
Age group(Year)
Marital status
Level of education
Working status
Physical activity
Variables
North
South
Center
West
East
15-18
18-30
30-45
>45
Single
Married
Primary education
Students
High school
Diploma
University
Working
Not working
Active
sedentary
N (%)
272 (10.9)
364 (14.6)
1088 (43.5)
293 (11.7)
483 (19.3)
550 (22)
775 (31)
875 (35)
300 (12)
1050 (42)
1450 (58)
175 (7)
550 (22)
800 (31.9)
675 (26.7)
300 (12)
1275 (51)
1225 (49)
1674 (66.96)
826 (33.04)
Table 2. Prevalence of Physiological and psychological well being in active (n= 1674) and sedentary (n= 826)
women
Variable
Physical Health
Anxiety
Depression
General Health
A
N(%)
G
1197 (83.4)
S
A
S
A
S
A
S
N(%)
M
N(%)
p-value
P
428(13.6)
49(2.9)
446 (54)
1264 (74.5)
254 (30.8)
1268 (75.7)
467 (56.5)
1188 (71.0)
299(36.2)
399 (23.8)
514 (62.2)
382 (22.8)
265 (32.2)
439 ( 26.2)
81(9.8)
29 (1.7)
58 (7.0)
24 (1.4)
94 (11.3)
47 (2.8)
571 (69.1)
186 (22.5)
69 (8.3)
P<0.007*
P<0.036*
P<0.02*
P<0.031*
A
1068( 63.5)
545 (32.6)
61 (3.8)
P<0.024*
S
544 (65.9)
169 (20.5)
113 (13.7)
* p<0.05 is consider significant. G – Good,well being; M- Moderate, well being; P- Poor well being. Data were
Social function
presented as n= number of participant, and percentage. A= active; S= Sedentary.
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Vol. 2, No. 2; October 2010
Table 3. Prevalence of psychological well being according to demographic factors of respondent (n= 2500)
GHQ score
Epidemiologic factors
N
G
Classification
N(%)
M
P
N(%)
N(%)
p-value
Age category
15-18
550
446(81.2)
87(15.8)
16(3)
18-30
775
605(78.1)
85(16.9)
38(5)
30-45
875
627(71.7)
164(18.8)
83(9.5)
>45
300
190.2(63.4)
75(25)
9(11.6)
Single
1050
655(62.4)
253(24.1)
141(13.5)
Married
1450
1012(69.8)
352(24.3)
85(5.9)
0.049*
Marital status
0.043*
0.063
Education
Primary education
175
90(57.1)
64(36.7)
10(6.2)
Students
550
368(67)
169(30.9)
12(2.2)
High school
800
520(65.1)
285(35.7)
7.2(9)
Diploma
675
396(58.7)
185(27.5)
93(13.8)
University
300
192(64.2)
76.0(25.3)
31(10.5)
Working
1275
810(63.6)
328(25.8)
135(10.6)
Not working
1225
752(61.4)
274(22.4)
198(16.2)
Active
1674
1141(68.2)
415(24.7)
118(7.1)
Sedentary
826
463(56.1)
234(28.4)
128(15.5)
Working status
0.0085*
Physical activity
0.035*
p<0.05 is consider significant. G – Good psychological well being,; M- Moderate psychological well being;
P- Poor psychological well being. Data were presented as n= number of participant, and percentage.
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