Food and Nutrition Sciences, 2013, 4, 1239-1246
Published Online December 2013 (http://www.scirp.org/journal/fns)
http://dx.doi.org/10.4236/fns.2013.412158
Open Access FNS
Dietary, Anthropometric, Biochemical and Psychiatric
Indices in Shift Work Nurses
Mahshid Naghashpour1,2, Reza Amani2,3*, Sorur Nematpour4, Mohammad Hosein Haghighizadeh5
1Student Research Committee, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran; 2Department of Nutrition, School of
Paramedicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran; 3Diabetes Research Center, Ahvaz Jundishapur Uni-
versity of Medical Sciences, Ahvaz, Iran; 4Golestan Medical Center, Jundishapur University of Medical Sciences, Ahvaz, Iran;
5Department of Statistics and Epidemiology, Jundishapur University of Medical Sciences, Ahvaz, Iran.
Email: *rezaamani@hotmail.com
Received June 13th, 2013; revised July 13th, 2013; accepted July 20th, 2013
Copyright © 2013 Mahshid Naghashpour et al. This is an open access article distributed under the Creative Commons Attribution
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
In accordance of the Creative Commons Attribution License all Copyrights © 2013 are reserved for SCIRP and the owner of the
intellectual property Mahshid Naghashpour et al. All Copyright © 2013 are guarded by law and by SCIRP as a guardian.
ABSTRACT
Objectives: The aim of this study was to compare nutrients intake, anthropometric, biochemical and psychiatric indices
between shift working and day-time nurses. Methods: A cross-sectional comparative study was conducted in which
ninety eight female nurses (55 day-time workers and 43 shift workers) from six educational hospitals of Jondi-Shapour
University of medical sciences, Ahvaz, Iran were participated. A questionnaire including dietary, anthropometric, dis-
ease history and lifestyle pattern questions was completed and 3-day 24-hour recalls, Beck Depression Inventory (BDI)
and Hospital Anxiety and Depression Scale (HADS) were collected. Serum hs-CRP and 25(OH)D3 concentrations were
measured by immunoturbidimetric and electrochemiluminescent immunoassay method, respectively. Anthropometric
indices were measured according to World health organization standard protocol. Independent sample t and chi-square
tests were used for statistical analysis. Results: There was a lower dietary intake of thiamin, riboflavin, niacin, folate,
magnesium and iron in shift worker compared with day-time nurses (p < 0.05). No significant differences in serum
hs-CRP concentrations, serum 25(OH)D3 levels, vitamin D deficiency percentage, hemoglobin and hematocrite concen-
trations, and also anthropometric and psychiatric variables were found between two groups. Duration of exposure to
sunlight was significantly higher in shift workers than in day time nurses. Engagement time in weekly physical exercise
was around 11 times greater in day-time nurses compared with the shift work nurses (p = 0.001). Conclusions: This
study showed that shift working is associated with some nutritional deficiencies and sedentary lifestyle among female
nurses.
Keywords: Shift Work; Dietary Intake; Depression; Nurse
1. Introduction
Shift work generally is defined as “work hours that are
scheduled outside of daylight” [1]. Nurses represent an
important part of the hospital workforce and serve as role
models when caring for patients [2]. According to a
study, night working is considered as a kind of challenge
among most nurses and can lead to several forms of
physical and emotional disorders [3]. Shift duties were
positively associated with abnormal eating habits among
hospital nurses. Studies on the effects of shift work on
eating habits and nutrients intake have previously been
conducted on shift workers in different jobs [4,5]. Shift
workers preferred to eat cold and fast foods and tend to
have a nibble rather than a meal and have fewer meals
over 24 hours [5]. These eating habit changes may in-
crease or decrease intake of nutrients. Shift work and
insufficient rest, as both are considered the main obstacle
to healthy eating by respondents. Obesity has been
shown to be more prevalent among shift workers and is
associated with higher BMI, independently of age and
work duration [5,6]. Several mechanisms explain weight
gain in shift workers, such as higher calorie intake,
changes in dietary habits such as eating fewer meals,
more snacks and in the circadian distribution of food
*Corresponding author.
Dietary, Anthropometric, Biochemical and Psychiatric Indices in Shift Work Nurses
1240
intake and lower physical exercise [5]. Modifying exter-
nal factors such as food and beverage intake patterns can
help to reduce the destructive health effects of shift work
[1]. Compared to the number of studies that evaluated
intra-individual differences in nutrient intake by shift,
there have been few studies that have examined the dif-
ference in micronutrient intakes between shift workers
and day time workers [5].
Findings highlight that night and early morning work-
ing is associated with an adverse profile of cardiovascu-
lar risk factors, which are partly explained by socioeco-
nomic, other occupational factors, and health behaviors
[7]. Moreover, shift work leads to change in lifestyle, for
instance in relation to diet, smoking, alcohol and exercise,
all being risk factors of ischemic heart disease [8]. We
measured the high-sensitivity C-reactive protein (hs-
CRP) which is being increasingly used as a marker for
cardiac risk assessment and as a prognostic tool in heart
disease [9].
Studies have demonstrated that daylight exposure may
be effective on job burnout in nurses. Daylight at least 3
h a day was found to cause less stress and higher satis-
faction at work in them [10]. A more relaxed and less tense
mood has been reported after UV exposure compared
with after non UV exposure [11]. In addition, decreased
25-hydroxyvitamin D is associated with Depression [12,
13]. Since the shift workers presumably have a poor sun
exposure and a higher risk of vitamin D deficiency, we
have also measured vitamin D status in nurses.
To our best knowledge, there is no other study pub-
lished concerning the effect of shift work on daily nutria-
ents intake, anthropometric, biochemical and psychiatric
indices of nurses. This study was aimed to compare these
indices between shift work and daytime nurses in Uni-
versity hospitals.
2. Material and Methods
2.1. Study Design and Sample
In this analytical cross-sectional comparative study,
healthy female clinical nurses with the mean age of 37
years old (range from of 23 years to 52 years old) em-
ployed in educational University hospitals in Ahvaz city,
Iran, participated in April to September 2009. Sample
size was calculated from a formula



22
22
12 1111 2
nZ Z

 

 
[14]. α is
type 1 statistical error and β is type 2 statistical error.
where n is the sample size, 12
Z
is the 12
criti-
cal value of the standard normal distribution which is
found in the table of the standard normal distribution, δ is
the known sample standard deviation, and μ is the sample
mean. A three-stage sampling design was used. At each
stage, simple random sampling was applied. In the first
stage of sampling, the sampling unit was educational
University hospitals (administrative units). A total of six
hospitals were randomly selected from eight hospitals. In
the second stage, on average, from a total of 1350 nurses,
20 volunteers were selected randomly from each sample
hospital. A total of 120 volunteers were selected. A self-
reported questionnaire assessed demographic characteris-
tics, disease history (chronic and psychiatric), medication
and supplement usage, pregnancy, smoking status and
physical activity, were completed by volunteers. Subjects
with the history of anemia, thyroid disorders, renal fail-
ure, heart failure, diabetes mellitus, malabsorption, chro-
nic and psychiatric disease, pregnancy, history of using
medicines and other substances that could affect appetite
were excluded from this study. 22 individuals who were
not eligible were excluded. In the third stage, 98 volun-
teers who met inclusion criteria were categorized in day
time and shift workers groups (55 day time workers and
43 shift workers).
Shift work was defined as work at times out of normal
daylight hours 8:00 am to 2:00 pm or work during the
weekends [15]. An additional question representing the
shift work period was asked. In this study, nurses were
divided into two groups: shift-work and day-time nurses.
Participants completed a questionnaire included demo-
graphic characteristics, physical activity during the week,
duration of exposure to sunlight and use of tobacco over
a three-month period.
The study protocol was approved by the research eth-
ics committee of Ahvaz Jondi-Shapour University of Me-
dical Sciences (AJUMS). Written consents were obtained
from all participants.
2.2. Assessment of Depression and Anxiety
Depression status was assessed using the short 13-items
version Beck Depression Inventory (BDI) and total
scores (BDI score) were calculated. The BDI cut-off
values 5 is defined as depression [16]. The BDI in-
cluded questions to assess nine characteristic attitudes
and symptoms listed in the DSM-IV criteria for a major
depressive episode. Anxiety was evaluated by the Hospi-
tal Anxiety and Depression Scale (HADS). HADS anxi-
ety score between 8 - 10 and 11 - 21 were considered as
mild and clinical anxiety, respectively [17].
2.3. Dietary Assessment
We assessed dietary intake using a 3-day 24-hour recall
(including 2 working days and one off-day). Quantities
were expressed in household measures. The inventories
were double checked by a nutritionist, who verified the
quantities and type of recalled foods. Daily dietary in-
takes of energy and micronutrients (thiamin, riboflavin,
niacin, pyridoxine, cobalamin, folate, ascorbate, toco-
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Dietary, Anthropometric, Biochemical and Psychiatric Indices in Shift Work Nurses 1241
pherol, retinol, cholecalciferol, magnesium, zinc, iron
and calcium) were analyzed using Iranian Food Proces-
sor software, which has been developed by the Iranian
Institute of Nutrition Research and Food Industry and
comprises Iranian meals dataset.
2.4. Biochemical Measurements
Fasting blood samples were obtained into potassium
EDTA—containing tubes for determination of hemoglo-
bin and hematocrite and tubes with no anticoagulants for
serum hs-CRP and 25(OH)D3 levels evaluation. Deter-
mination of Hemoglobin was done by Cyanmethemoglo-
bin Method and Hematocrit by calculating the percentage
of blood that is comprised of red blood cell (RBC) [18].
Serum hs-CRP level were measured by a particle-en-
hanced turbidimetric immunoassay (quantitative diag-
nosis kit for serum or plasma hs-CRP by immunotur-
bidimetric method; Pars Azmoon, Tehran, Iran) with a
limit of detection of 0.10 mg/l [19]. In this study, the
Risk Evaluation Guidelines proposed by American Heart
Association and Center for Disease Control and preven-
tion (AHA/CDC) was used for categorizing hs-CRP lev-
els [9].
Serum 25(OH)D level were measured during summer
months using Electrochemiluminescent immunoassay
[20] (Serum 25(OH)D kit; Roche, Britain). Lips [21]
cut-offs were used for vitamin D deficiency evaluation
which has categorized vitamin D deficiency based on
increasing serum parathormon (PTH) levels and bone
histology. In this method, values 25 - 50, 12.5 - 25 and <
12.5 nmol/l indicate mild (insufficiency), moderate and
severe vitamin D deficiency, respectively.
2.5. Anthropometric Indices
Anthropometric indices including weight and height in-
dices were measured according to WHO (World health
organization) standard protocol [22]. Body Mass Index
(BMI), Body Fat Percent (% BF) and Fat to Weight Ratio
(F/W) were assessed by bioelectric impedance methods
(Omron, BF 302, Japan).
2.6. Statistical Analysis
Independent sample t and chi-square tests were carried
out for analyzing the quantitative and categorized vari-
ables, respectively. p values less than 0.05 were regarded
as significant. SPSS software version 13 was used for
statistical analysis.
3. Results
Table 1 shows the basic demographic characteristics of
participations in both groups. Results show that there is
no significant difference between shift and day-time
Table 1. The basic demographic characteristics of partici-
pations.
Study groups
Basic demographic
characteristics Shift workers
(N = 43)
Day time workers
(N = 55) p value
Age (Year)a 33 ± 5.3 33.7 ± 3.3 0.963
Married statusb: Married74.4 (32) 73.6 (39) 0.865
Work experiencea 14.7 ± 5.1 15.8 ± 5.3 0.753
Overtime workb yes 44.2 (19) 32.7 (18) 0.112
aQuantitative data presented as mean ± SD. Independent sample t-test was
conducted; bQualitative data presented as percent (number). Chi square test
was conducted.
worker nurses in terms of obtained demographic vari-
ables.
3.1. Comparison of Nutrients Intakes
Table 2 compares total energy and dietary micronutrient
intakes between shift workers and day time workers.
Lower dietary intakes of thiamin, riboflavin, niacin,
folate, magnesium and iron were seen in shift workers
compared with the day-time nurses. There were no sig-
nificant differences in other micronutrient and energy
intakes between these two groups.
3.2. Comparison of Biochemical Variables
Table 3 shows values for biochemical variables in both
shift work and day time nurses. No significant differ-
ences were found in serum hs-CRP concentrations and
percentage of risk measurements between shift work and
daytime nurses. Serum 25(OH)D3 levels (nmol/l), vita-
min D deficiency severity percent and hematologic indi-
ces were not significantly different between two groups.
3.3. Comparison of Anthropometric, Lifestyle
and Psychiatric Indices
Table 4 indicates that there is no significant difference in
anthropometric variables between two groups. Nor BDI
neither HADS anxiety scores revealed any statistically
significant differences between two groups. Duration of
daily exposure to sunlight was significantly higher in
shift workers (p = 0.013) compared with day time nurses.
Duration of weekly physical exercise was more than
eleven times higher in daytime nurses compared with the
shift workers (p = 0.001).
4. Discussion
According to our search, this was the first study carried
out to assess the dietary intake, anthropometric, bio-
chemical, lifestyle and psychiatric parameters in hospital
hift working nurses. s
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Dietary, Anthropometric, Biochemical and Psychiatric Indices in Shift Work Nurses
Open Access FNS
1242
Table 2. The comparison of dietary nutrients intakes (Mean ± SD) between shift work and day-time nursesa.
Study groups
Dietary intakes
Shift workers (N = 43) Day time workers (N = 55) p value
Thiamin (mg/day) 1.2 ± 0.55 1.6 ± 1.2 0.01b
Riboflavin (mg/day) 1.6 ± 0.72 2.1 ± 1.1 0.003b
Niacin (mg/day) 16 ± 7.7 21.1 ± 13.1 0.01b
Pyridoxine (mg/day) 1.6 ± 0.82 1.1 ± 1 0.71
Cobalamin (µg/day) 3.6 ± 2.3 5.2 ± 6 0.1
Folate (µg/day) 284.7 ± 157.4 386 ± 236.8 0.007b
Ascorbate (mg/day) 117.6 ± 76 160.9 ± 204.7 0.18
Tocopherol (mg/day) 7.9 ± 4.6 12.8 ± 33.38 0.16
Retinol (µg/ day) 947.3 ± 663.9 1319.6 ± 906.3 0.11
Cholecalciferol (µg/day) 2.4 ± 4.4 2.42 ± 2.1 0.56
Magnesium (mg/day) 251.7 ± 76.3 317.4 ± 208.75 0.049b
Zinc (mg/day) 8 ± 2.6 10.1 ± 4.7 0.09
Iron (mg/day) 11.8 ± 4.8 15.3 ± 9.5 0.03b
Calcium (mg/day) 862.9 ± 313.5 940.7 ± 488.3 0.18
Energy intake (kcal/day) 1637.1 ± 542.6 1859.7 ± 539.8 0.43
cIndependent sample t-test was conducted; dLower dietary intakes of thiamin, riboflavin, niacin, folate, magnesium and iron were seen in shift works compared
with the day-time nurses (p < 0.05).
Table 3. The comparison of biochemical indices between shift work and day-time nur sesa.
Study groups
Biochemical variables
Shift workers (N = 43) Day-time workers (N = 55) p value
hs-CRP serum levels (mg/l)b 2.1 ± 2.3 2.21 ± 2.6 0.89
percent of risk measurementsc
<1 mg/l (low risk) 46.5 (20) 42.3 (22) 0.72
1 - 3 mg/l (medium risk) 32.6 (14) 40.4 (21)
>3 mg/l (high risk) 20.9 (9) 17.3 (9)
Serum 25(OH)D3 levels (nmol/l)b 26.3 ± 20.5 27.4 ± 22.7 0.39
Vitamin D deficiency severityc
Severe 39.5 (17) 39.6 (21) 0.88
Moderate 18.6 (8) 13.2 (7)
Mild 30.2 (13) 35.8 (19)
Normal 11.6 (5) 11.3 (6)
Hemoglobin (g/l)b 11.5 ± 0.92 11.16 ± 1 0.97
Hematocrite (%)b 37.3 ± 4.3 36.1 ± 2.8 0.67
aThere was no significant difference between shift works and day-time nurses in biochemical indices; bQuantitative data presented as mean ± SD. Independent
sample t-test was conducted to analyze data; cQualitative data presented as percent (number). Chi square test was conducted.
Dietary, Anthropometric, Biochemical and Psychiatric Indices in Shift Work Nurses 1243
Table 4. The comparison of anthropometric, lifestyle and psychiatric indices between shift wo r k and day-time nurses.
Study groups
Indices
Shift workers (N = 43) Day-time workers (N = 55) p value
Anthropometric va riables
Weight (kg) a 64 ± 11.8 66.6 ± 11.1 0.55
Body fat percent (% BF)a 29.8 ± 6.5 32.27 ± 6.3 0.84
Fat to Weight Ratio (F/W) 20.7 ± 8 23.1 ± 88.1 0.72
Body Mass Index (BMI) (kg/m2)a 25.4 ± 4.6 26.2 ± 4.4 0.95
Underweight 10.8 (4) 2.1 (1) 0.19
Normal weightb 51.4 (19) 46.8 (22)
Over weightb 32.4 (12) 48.9 (23)
Obesityb 5.4 (2) 2.1 (1)
Life style variables
Duration of weekly physical exercise (min/wk)ac 6.2 ± 21.7 68.7 ± 208.36 0.001d
Duration of daily exposure to sunlight (min/day)ad 27.3 ± 33.1 16.39 ± 19.1 0.013e
<30 (min/wk)b 61 (25) 71.2 (37) 0.23
30 - 60 (min/wk)b 19.5 (8) 21.2 (11)
>60 (min/wk)b 19.5 (8) 7.7 (4)
Psychiatric variables
BDI scorea 4.79 ± 3.35 3.65 ± 3.64 0.32
Depression severityb
Mild 37.2 (16) 21.8 (12) 0.17
Moderate 18.6 (8) 16.4 (9)
Severe 0 (0) 0 (0)
Normal 44.2 (19) 61.8 (34)
HADS anxiety scorea 4.88 ± 3.24 3.82 ± 3.26 0.58
Anxiety severityb
Normal 78.6 (33) 87.3 (48) 0.48
Moderate 14.3 (6) 7.3 (4)
Clinical 7.1 (3) 5.5 (3)
aQuantitative data presented as mean±SD. Independent sample t-test was conducted; bQualitative data presented as percent (number). Chi square test was con-
ducted; cDuration of weekly physical exercise was more than eleven times higher in daytime nurses compared with the shift works; dDuration of daily exposure
to sunlight was significantly higher in shift workers compared with daytime nurses.
This study showed that shift working nurses had lower
dietary intakes of some B vitamins (including thiamin,
riboflavin, niacin and folate), two trace elements magne-
sium and iron compared with daytime nurses. Higher
duration of daily exposure to sunlight and lower duration
of weekly physical exercise were also observed in the
shift working group.
There are few studies investigating the effect of shift
working on dietary nutrients intake mostly focused on
dietary habits. Some authors did not find any difference
between shift workers and day time employees with re-
spect to their total energy intake and dominant macronu-
trient intakes [5]. Morikawa have reported that Japanese
shift workers, particularly the late-shift workers, took
smaller amounts of energy and nutrients than the daytime
workers. Their inadequate nutrient intake was due to
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Dietary, Anthropometric, Biochemical and Psychiatric Indices in Shift Work Nurses
1244
lower meal frequency and poor meal quality, both of
which were conditioned by shift work. One study on the
impact of work hours on eating habits and dietary intake
of male industrial workers in day workers and two- and
three-shift workers, showed no changes in intake of en-
ergy, nutrients and coffee/tea between 8 hour morning
and afternoon shifts, but a reduction in intake of nutrients
and coffee/tea during 8 hours night shifts. On the whole,
the energy-intake and the quality of food intake (per-
centages of energy from macronutrients and density of
micronutrients) were not affected by shift work [5].
In recent study on nurses in Hong Kong [4], shift du-
ties were positively associated with abnormal eating be-
havior among nurses working in hospitals. It has been
reported that the total energy and nutrient intakes in-
crease when individuals eat with others [23]. However
shift workers have fewer opportunities to take meals with
their families and friends. These effects appeared to be
most prominent among workers with midnight shifts,
who decreased their micronutrients intakes [5].
In Morikawa et al. study [5], the energy density value
of thiamin, vitamin A and potassium in shift workers
with mid night shifts were significantly lower than those
with fixed day workers. Also, in this study, energy intake
of dairy products (one of the good sources of riboflavin),
meat (good sources of niacin, folate and iron) and vege-
tables (rich in riboflavin, folate and magnesium) were the
lowest in shift workers with mid night shift than fixed
day workers. These results are comparable with our
findings on nutrients intake of shift nurses. Several stud-
ies agree that shift work affects the distribution of food
intake and the selection of food items over 24 hour
[24,25].
In this study, it is suggested that subjects had undesir-
able food items selection of that can result in long term
complications of micronutrients deficiencies. Such defi-
ciencies can lead to impaired energy and macronutrients
metabolism and synthesis, immune system dysfunction,
anorexia, neurologic and cardiac signs, depression, con-
fusion, sleeplessness, fatigue, general weakness, indiges-
tion, osteoporosis and anomies [26].
There was no significant difference between shift and
day-time nurses in terms of anthropometric variables.
The effect of shift work on body weight has been inves-
tigated in previous studies, several of which demon-
strated a significant tendency to become overweight [6,
27,28]. In contrast, some studies failed to show such as-
sociations [15,29].
According to studies, body fat distribution indices that
are body fat percent (% BF) and Fat to Weight Ratio
(F/W) variables in our study were not different between
two shift workers. Weight gain in shift workers has been
explained by several mechanisms, such as higher calorie
intake, changes in dietary habits (such as eating fewer
meals and more snacks) and the circadian distribution of
food intake [5,6], as well as lower physical exercise and
changes in sleeping habits [5].
In this study, there was no significant difference in to-
tal energy intake between shift workers and day time
workers whereas, in most of the other studies mentioned
above, no clear-cut conclusion in this respect was pre-
sented.
According to our results, duration of daily exposure to
sunlight was significantly higher in shift workers. Night
shift workers can improve nocturnal alertness and day-
time sleep by bright light exposure in their work place.
These improvements can be maximized by attenuating
morning light on the way home. Melatonin exerted mod-
est benefit in improving the adaptation of workers to
nightshift, and its effect was not enhanced by attenuation
of morning sunlight exposure [30]. This result may, in
part, explain the nonsignificant findings of psychiatric
variables due to higher duration of exposure time to sun
light.
In our study, duration of weekly physical exercise was
significantly lower in shift nurses compared with day
time nurses. In an interventional study on shift workers,
overall “disengagement” coping scores from the SSI
(Standard Shift-work Index) were positively related to
leisure-time energy expenditure [31]. In another study
lack of exercise was the lifestyle factor which strongly
contributed to chronic fatigue in shift working nurses
[32]. Time spent in shift work was found to be predictors
of energy expenditure. It is recommended that physical
activity interventions for shift workers should be de-
signed with careful consideration of individual domestic
responsibilities and perceived disruption to sleep [32].
Concerning the rhythm desynchronization of transfering
from shift work to day work, it has been suggested that
while examining tolerance/in tolerance of a shift worker
to rotational shift work, the levels of anxiety and mental
health status of the individual under careful and thorough
examination should be taken into consideration. In this
study, there was no significant difference in serum hs-
CRP concentrations and percentage of risk measurements
between shift working and daytime workers. Serum
25(OH)D 3 levels (nmol/litr), vitamin D deficiency se-
verity percent, hemoglobin and hematocrite concentra-
tions were not different between two groups. It is sug-
gested that these insignificant findings are resulted from
limited numbers of subjects in each group. In this study,
one of the Limitations was the descriptive comparative
nature of its design. The other limitation was that labora-
tory measurements of micronutrients were not used to
assess nutritional status. There for, it is suggested that in
future studies evaluation of micronutrients status by
proper biochemical methods would confirm our results.
In summary, shift duties were associated with unhealthy
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Dietary, Anthropometric, Biochemical and Psychiatric Indices in Shift Work Nurses 1245
lifestyle and nutritional imbalances accompanied by de-
ficiencies of some B vitamin, magnesium and iron in-
takes among hospital shift nurses. More health promo-
tional initiatives and education should be targeted to-
wards hospital nurses whose duties require frequent
shifts to enhance healthier eating and lifestyle patterns. In
this study, it is recommended that in every work place
where shift work is mandatory, trained health care per-
sonnel should monitor intermittently (preferably every
alternate year) the state of the psychological and nutri-
tional status of each shift nurse to minimize the occupa-
tional health hazards and enhance their performance.
5. Conclusions
As a conclusion, shift work is associated with unhealthy
lifestyle and nutritional imbalances accompanied by de-
ficiencies of some B vitamin, magnesium and iron in-
takes among hospital clinical nurses. Moreover, engage-
ment in planned physical activities was lower in shift
nurses.
More health promotional initiatives and education
programs should be targeted towards nurses whose duties
require frequent shifts in order to enhance their eating
and lifestyle patterns. It is suggested that in every work
place where shift work is mandatory, trained health care
personnel should frequently monitor nutritional status of
the staff to minimize the occupational health hazards and
enhance their performance.
6. Acknowledgements
This study was supported by Vice-Chancellor for Re-
search Affairs, Jondi-Shapour University of Medical Sci-
ences as a Grant for the Master of Science Thesis. We
wish to thank Dr. Ahmad Zaree Javid (Ph.D) for his kind
grammatical edition and Mr. Ahmad Hemadi (MSc.) for
his kind laboratory assistance.
REFERENCES
[1] A. M. Berger and B. B. Hobbs, “Impact of Shift Work on
the Health and Safety of Nurses and Patients,” Clinical
Journal of Oncology Nursing, Vol. 10, No. 4, 2006, pp.
465-471. http://dx.doi.org/10.1188/06.CJON.465-471
[2] J. M. Zapka, S. C. Lemon, R. P. Magner and J. Hale,
“Lifestyle Behaviors and Weight among Hospital-Based
Nurses,” Journal of Nursing Management, Vol. 17, No. 7,
2009, pp. 853-860.
http://dx.doi.org/10.1111/j.1365-2834.2008.00923.x
[3] A. N. Nasrabadi, H. Seif, M. Latifi, N. Rasoolzadeh and
A. Emami, “Night Shift Work Experiences among Iranian
Nurses: A Qualitative Study,” International Nursing Re-
view, Vol. 56, No. 4, 2009, pp. 498-503.
http://dx.doi.org/10.1111/j.1466-7657.2009.00747.x
[4] H. Wong, M. C. Wong, S. Y. Wong and A. Lee, “The
Association between Shift Duty and Abnormal Eating
Behavior among Nurses Working in a Major Hospital: A
Cross-Sectional Study,” International Journal of Nursing
Studies, Vol. 47, No. 8, 2010, pp. 1021-1027.
http://dx.doi.org/10.1016/j.ijnurstu.2010.01.001
[5] Y. Morikawa, K. Miura, S. Sasaki, K. Yoshita, S. Yone-
yama, M. Sakurai, M. Ishizaki, T. Kido, Y. Naruse, Y.
Suwazono, M. Higashiyama and H. Nakagawa, “Evalua-
tion of the Effects of Shift Work on Nutrient Intake: A
Cross Sectional Study,” Journal of Occupational Health,
Vol. 50, No. 3, 2008, pp. 270-278.
http://dx.doi.org/10.1539/joh.L7116
[6] L. C. Antunes, R. Levandovski, G. Dantas, W. Caumo
and M. P. Hidalgo, “Obesity and Shift Work: Chronobi-
ological Aspects,” Nutrition Research Reviews, Vol. 23,
No. 1, 2010, pp. 155-168.
http://dx.doi.org/10.1017/S0954422410000016
[7] C. Thomas and C. Power, “Shift Work and Risk Factors
for Cardiovascular Disease: A Study at Age 45 Years in
the 1958 British Birth Cohort,” European Journal of
Epidemiology, Vol. 25, No. 5, 2010, pp. 305-314.
http://dx.doi.org/10.1007/s10654-010-9438-4
[8] A. Knutsson, H. Andersson and U. Berglund, “Serum
Lipoproteins in Day and Shift Workers: A Prospective
Study,” British Journal of Industrial Medicine, Vol. 47,
No. 2, 1990, pp. 132-134.
[9] “Inflammation, Heart Disease and Stroke,” American
Heart Association, 2008.
http://www.americanheart.org/presenter.jhtml?identifier=
4648
[10] M. K. Alimoglu and L. Donmez, “Daylight Exposure and
the Other Predictors of Burnout among Nurses in a Uni-
versity Hospital,” International Journal of Nursing Stud-
ies, Vol. 42, No. 5, 2005, pp. 549-555.
http://dx.doi.org/10.1016/j.ijnurstu.2004.09.001
[11] S. R. Feldman, A. Liguori, M. Kucenic, S. R. Rapp, A. B.
Fleischer Jr., W. Lang and M. Kaur, “Ultraviolet Expo-
sure Is a Reinforcing Stimulus in Frequent Indoor Tan-
ners,” Journal of the American Academy of Dermatology,
Vol. 51, No. 1, 2004, pp. 45-51.
http://dx.doi.org/10.1016/j.jaad.2004.01.053
[12] A. Pan, L. Lu, O. H. Franco, Z. Yu, H. Li and X. Lin,
“Association between Depressive Symptoms and 25-Hy-
droxyvitamin D in Middle-Aged and Elderly Chinese,”
Journal of Affective Disorders, Vol. 118, No. 1-3, 2009,
pp. 240-243. http://dx.doi.org/10.1016/j.jad.2009.02.002
[13] W. J. Hoogendijk, P. Lips, M. G. Dik. D. J. Deeg, A. T.
Beekman and B. W. Penninx, “Depression Is Associated
with Decreased 25-Hydroxyvitamin D and Increased
Parathyroid Hormone Levels in Older Adults,” Archives
of General Psychiatry, Vol. 65, No. 5, 2008, pp. 508-512.
http://dx.doi.org/10.1001/archpsyc.65.5.508
[14] M. Naghashpour, R. Amani, S. Nematpour and M. H.
Haghighizadeh. “Riboflavin Status and Its Association
with Serum hs-CRP Levels among Clinical Nurses with
Depression,” Journal of the American College of Nutri-
tion, Vol. 30, No. 5, 2011, pp. 340-347.
http://dx.doi.org/10.1080/07315724.2011.10719977
[15] M. Ghiasvand, R. Heshmat, R. Golpira, V. Haghpanah, A.
Soleimani, P. Shoushtarizadeh, S. M. Tavangar and B.
Open Access FNS
Dietary, Anthropometric, Biochemical and Psychiatric Indices in Shift Work Nurses
Open Access FNS
1246
Larijani, “Shift Working and Risk of Lipid Disorders: A
Cross-Sectional Study,” Lipids in Health and Disease,
Vol. 5, 2006, pp. 1-9.
http://dx.doi.org/10.1186/1476-511X-5-9
[16] H. Kaplan and B. Sadock, “Comprehensive Text Book of
Psychiatry,” 12th Edition, Lippincott Williams & Will-
kins Ltd., USA, 2009, pp. 1047-1049.
[17] A. S. Sigmond and P. Snaiphr, “The Hospital Anxiety and
Depression Scale,” Acta Psychiatrica Scandinavica, Vol.
67, No. 6, 1983, pp. 361-370.
http://dx.doi.org/10.1111/j.1600-0447.1983.tb09716.x
[18] B. J. Bain, S. M. Lewis and I. Bates, “Basic Haemato-
logical Techniques,” In: S. M. Lewis, B. J. Bain and I.
Bates Dacie, Eds., Practical Hematology, 10th Edition,
Churchili Livingstone Elsevier Ltd., Philadelphia, 2006, p.
26.
[19] B. Kusnierz-Cabala, W. Gernand, A. Zabek-Adamska, A.
Tokarz and J. W. Naskalski,“ Comparison of High-Sensi-
tivity C-Reactive Protein Serum Assay Results Obtained
Using Dade-Behring BNII Nephelometer and Ortho Vi-
tros FS 5.1 Clinical Analyzer in Respect of CRP-Related
Risk Assessment of Chronic Metabolic Diseases,” Clini-
cal Laboratory, Vol. 54, No. 9-10, 2008, pp. 341-346.
[20] R. Heshmat, K. Mohammad, S. R. Majdzadeh, M. H.
Forouzanfar, A. Bahrami, G. H. Ranjbar Omrani, I. Nabi-
pour, R. Rajabian, A. Hossein-Nezhad, M. Rezaei He-
mami, M. Pajouhi and B. Larijani, “Vitamin D Deficiency
in Iran: A Multi-Center Study among Different Urban
Areas,” Iranian Journal of Public Health, a Supplemen-
tary Issue on Osteoporosis and Bone Turnover, No. 1,
2008, pp. 72-78.
[21] P. Lips, “Vitamin D Deficiency and Secondary Hyper-
parathyroidism in the Elderly: Consequences for Bone
Loss and Fractures and Therapeutic Implications,” Endo-
crine Reviews, Vol. 22, No. 4, 2001, pp. 477-501.
http://dx.doi.org/10.1210/er.22.4.477
[22] World Health Organization (WHO), “Physical Status:
The Use and Interpretation of Anthropometry,” Tech Rep
No. 854, 1995.
http://whqlibdoc.who.int/trs/WHO_TRS_854.pdf
[23] J. De Castro, “Socio-Cultural Determinants of Meal Size
and Frequency,” British Journal of Nutrition, Vol. 77, No.
4, 1997, pp. 39-55.
http://dx.doi.org/10.1079/BJN19970103
[24] J. Waterhous, P. Buckley, B. Edwards and T. Reilly,
“Measurements of, and Some Reasons for, Difference in
Eating Habits between Night and Day Workers,” Chro-
nobiology International, Vol. 20, No. 6, 2003, pp. 1075-
1092. http://dx.doi.org/10.1081/CBI-120025536
[25] N. Nikolova, S. Handjiev and K. Angelova, “Nutrition of
Night and Shift Workers in Transports,” In: G. Costa, G.
Cesana and K. Kogi, Eds., Shift Work: Health Sleep and
Performance, Peter Lang Ltd., Frankfort, 1990, pp. 538-
547.
[26] M. L. Gallager, “The Nutrients and Their Metabolism,” In:
L. K. Mahan and S. Escott-Stump, Eds., Krausés Food &
Nutrition Therapy, 12th Edition, Saunders, Philadelphia,
2008, pp. 74-78,84-86.
[27] B. Karlsson, A. Knuttsson and B. Lindahl, “Is There an
Association between Shift Work and Having a Metabolic
syndrome? Results from a Population Based Study of
27485 People,” Occupational and Environmental Medi-
cine, Vol. 58, No. 11, 2001, pp. 747-752.
http://dx.doi.org/10.1136/oem.58.11.747
[28] K. R. Parkes, “Shift Work and Age as Interactive Predic-
tors of Body Mass Index among Offshore Workers,”
Scandinavian Journal of Work, Environment & Health,
Vol. 28, No. 1, 2002, pp. 64-71.
[29] B. H. Karlsson, A. K. Knutsson, B. O. Lindahl and L. S.
Alfredsson, “Metabolic Disturbances in Male Workers
with Rotating Three-Shift Work. Results of the WOLF
Study,” International Archives of Occupational and En-
vironmental Health, Vol. 76, No. 6, 2003, pp. 424-430.
[30] I. Y. Yoon and B. G. Song, “Role of Morning Melatonin
Administration and Attenuation of Sunlight Exposure in
Improving Adaptation of Night-Shift Workers,” Chrono-
biology International, Vol. 19, No. 5, 2002, pp. 903-913.
http://dx.doi.org/10.1081/CBI-120014571
[31] S. Fullick, C. Grindey, B. Edwards, C. Morris, T. Reilly,
D. Richardson, J. Waterhouse and G. Atkinson, “Rela-
tionships between leisure-time energy expenditure and
individual Coping Strategies for Shift-Work,” Ergonom-
ics, Vol. 52, No. 4, 2009, pp. 448-455.
http://dx.doi.org/10.1080/00140130802707725
[32] E. Samaha, S. Lal, N. Samaha and J. Wyndham, “Psy-
chological, Lifestyle and Coping Contributors to Chronic
Fatigue in Shift-Worker Nurses,” Journal of Advanced
Nursing, Vol. 59, No. 3, 2007, pp. 221-232.
http://dx.doi.org/10.1111/j.1365-2648.2007.04338.x