Key words:
Anxiety - depression - oral submucous fibrosis - serum cortisol
INTRODUCTION
Oral submucous fibrosis (OSMF) is a premalignant disease of oral mucosa. It predominantly
occurs in Southeast Asia. It has also been found to occur in Europe and North America.
The prevalence rate of OSMF in India has increased over the past few years from 0.03%
to 6.42%. It is a chronic and progressive disease. The malignant transformation rate
of OSMF into squamous cell carcinoma is as high as 7.6% over a 17-year period.[1]
[2]
[3]
[4]
OSMF is multifactorial in origin. The habit of chewing of commercially available areca
nut product (pan masala) is the most important etiological agent of OSMF. The habit
of chewing of raw areca nut is also associated with OSMF with a mean duration of 6–10
years. The areca nut alkaloid arecoline has been identified as the principal causative
factor in the pathogenesis of OSMF. It increases fibroblast proliferation and collagen
formation by increasing the production of growth factors (platelet-derived growth
factor, fibroblast growth factor, transforming growth factor-beta, and connective
tissue growth factor), cytokinins (interleukin-1 [IL-1], IL-6, IL-8, and tumor necrosis
factor-alpha), tissue inhibitor of metalloproteinase and also by reducing the matrix
metalloproteinase production and collagen phagocytosis. Areca nut has a high copper
content. This acts as a mediator of OSMF by upregulating collagen production in oral
fibroblasts. Genetic predisposition and nutritional deficiencies have also been implicated
in the pathogenesis of OSMF.[5]
[6]
OSMF is characterized by juxtaepithelial inflammatory reaction and progressive fibrosis
of the submucosal tissues such as lamina propria and deeper connective tissues. The
oral epithelium overlying the fibrous condensation becomes atrophic in most cases.[7] The interrelationship between chronic physical illness and psychiatric morbidity
is well established.[8]
[9]
[10]
[11]
[12]
There is a scarcity of literature on psychiatric morbidity in OSMF, and its association
with serum cortisol level has not been studied. The aim of the present study was to
assess the frequency of anxiety and depression and their association with serum cortisol
level in patients with OSMF.
MATERIALS AND METHODS
The present cross-sectional study was conducted in the Outpatient Department of Oral
Medicine and Radiology, Teerthanker Mahaveer Dental College and Research Centre, Moradabad,
Uttar Pradesh, India, from June 2015 to May 2016. The protocol was approved by the
institutional ethics committee. Written consent was obtained from each patient.
One hundred and five patients aged 18–40 years were enrolled for the study. They were
categorized into three groups of 35 patients each, matched for age and gender as follows:
Group 1 – those patients with areca nut chewing habit and OSMF, Group 2 – those with
areca nut chewing habits without OSMF, and Group 3 – those without areca nut chewing
habit and without OSMF. Group 1 was the study group (OSMF group). Group 2 and Group
3 formed the control group.
Patients with a history of psychiatric disorders, coexisting systemic diseases (cardiovascular
diseases, asthma, chronic obstructive pulmonary disease, diabetes mellitus, arthritis,
carcinoma, migraine, and HIV infection), oral mucosal disorders (burning mouth syndrome,
oral lichen planus, and recurrent aphthous stomatitis), and miscellaneous diseases
(temporomandibular joint disorders, facial neuralgia, atypical facial pain, atypical
odontalgia, bruxism, salivary gland diseases, chronic advanced peridontitis, and viral
infection) and pregnant women were excluded from the study.
Detailed clinical examination was carried out on all patients enrolled for the study.
The identification of OSMF was made on the basis of history and characteristic clinical
features (inability to open the mouth, intolerance to spicy food, altered mucosal
appearance, tightening feeling, or firm fibrous bands in buccal and labial mucosa).
Study group (OSMF group) patients were divided clinically into four subgroups (stages)
based on the interincisal distance (ID): OSMF-A (ID >35 mm), OSMF-B (ID between 30
and 35 mm), OSMF-C (ID between 20 and 30 mm), and OSMF-D (ID <20 mm). OSMF-A represented
the initial stage while OSMF-D the most advanced stage.
All the patients were assessed for severity of anxiety and depression by the Hamilton
Anxiety Rating Scale (HAM-A) questionnaire and the Hamilton Depression Rating Scale
(HAM-D) questionnaire, respectively, and the serum cortisol level was measured by
enzyme-linked fluorescent assay (ELFA).
The HAM-A comprises 14 items (anxious mood, tension, fears, insomnia, intellectual,
depressed mood, somatic complaints muscular, somatic complaints sensory, cardiovascular
symptoms, respiratory symptoms, gastrointestinal symptoms, genitourinary symptoms,
autonomic symptoms, behavior at interview) and 5 responses (with scores 0, 1, 2, 3,
and 4 indicating not present, mild, moderate, severe, very severe, respectively) to
each item. A patient has to select one response (answer) for each item (question)
and then the total score (range from 0 to 56) is calculated. A total score of >17
indicates mild anxiety, 18–24 mild- to-moderate anxiety, and 25–30 moderate-to-severe
anxiety.
The HAM-D comprises 17 items (depressed mood, feeling of guilt, suicide, insomnia
early, insomnia middle, insomnia late, works and interests, retardation, agitation,
anxiety psychic, anxiety somatic, somatic symptoms gastrointestinal, somatic symptoms
general, genital symptoms, hypochondriasis, loss of weight, and insight) and 3–5 responses
(with scores between 0 and 4) for each item. The interviewing clinician has to select
one response (answer) for each item (question) and then the total score (range 0–52)
is calculated. A total score of 0–7 indicates normal, 8–13 mild depression, 14–18
moderate depression, 19–22 severe depression, and ≥23 very severe depression.
The serum cortisol level of each patient was measured by MiniVidas analyzer (Bio Merieux
S. A, Lyon, France) – a compact automated immunoassay system based on ELFA technique.
The normal serum cortisol level ranges from 138 to 600 nmol/L (fasting 8 AM to 12
noon).
Statistical analysis
The statistical analysis was done using Statistical Package for the Social Sciences
(SPSS) (Version 20.0. Armonk, NY: IBM Corp.).
RESULTS
A total of 105 patients were studied. Fifty (47.62%) were observed to be in the age
group of 25–32 years, of which 17 (16.19%), 16 (15.24%), and 17 (16.19%) patients
belonged to Group 1, Group 2, and Group 3, respectively. Gender distribution of all
patients revealed 96 (91.4%) males and 9 (8.6%) females. Group 1, Group 2, and Group
3 comprised of 32 (30.48%), 33 (31.43%), and 31 (29.53%) males and 3 (2.86%), 2 (1.90%),
and 4 (3.80%) females, respectively.
Mild anxiety was observed in 29 (27.62%), 34 (32.38%), and 33 (31.43%) individuals
and moderate anxiety in 6 (05.72%), 1 (00.95%), and 2 (01.90%) individuals in Group
1, Group 2, and Group 3, respectively. None of them had severe anxiety. Statistical
analysis revealed that the values (χ2 = 5.104, P = 0.078) were not statistically significant [Table 1].
Table 1:
Assessment of severity of anxiety by Hamilton Anxiety Rating Scale among patients
of different groups
|
Group
|
Mild anxiety, n (%)
|
Moderate anxiety, n (%)
|
Severe anxiety, n (%)
|
|
χ2=5.104, P=0.078, not statistically significant
|
|
Group 1
|
29 (27.62)
|
6 (5.72)
|
0
|
|
Group 2
|
34 (32.38)
|
1 (0.95)
|
0
|
|
Group 3
|
33 (31.43)
|
2 (1.90)
|
0
|
|
Total
|
96 (91.43)
|
9 (8.57)
|
0
|
Mild, moderate, severe, and very severe depression were observed in 17 (16.20%), 1
(0.95%), 1 (0.95%), and 1 (0.95%) Group 1 subjects, respectively. In Group 2, 14 (13.33%)
had mild depression and 3 (2.85%) had moderate depression, while Group 3 had 9 (6.57%)
subjects suffering from mild depression. Statistical analysis revealed that the values
(χ2 = 13.24, P = 0.104) were not statistically significant [Table 2].
Table 2:
Assessment of severity of depression by Hamilton Depression Rating Scale among patients
of different groups (n=105)
|
Group
|
Normal, n (%)
|
Mild depression, n (%)
|
Moderate depression, n (%)
|
Severe depression, n (%)
|
Very severe depression, n (%)
|
|
χ2=13.24, P=0.104, not statistically significant
|
|
Group 1
|
15 (14.29)
|
17 (16.20)
|
1 (0.95)
|
1 (0.95)
|
1 (0.95)
|
|
Group 2
|
18 (17.14)
|
14 (13.33)
|
3 (2.85)
|
0
|
0
|
|
Group 3
|
26 (24.77)
|
9 (6.57)
|
0
|
0
|
0
|
|
Total
|
59 (56.20)
|
40 (38.10)
|
4 (3.80)
|
1 (0.95)
|
1 (0.95)
|
Twenty-eight (26.67%) subjects had normal serum cortisol level and 7 (6.67%) had elevated
serum cortisol level in Group 1. Thirty-four (32.38%) subjects had normal serum cortisol
level, while 1 (0.95%) had elevated serum cortisol level in Group 2. Normal serum
cortisol level was observed in all cases of Group 3. Statistical analysis revealed
that the values (χ2 = 11.76, P = 0.03) were statistically highly significant [Table 3].
Table 3:
Assessment of serum cortisol level (nmol/L) among patients of different groups
|
Group
|
Normal level (138-600 nmol/L), n (%)
|
Elevated level, n (%)
|
|
χ2=11.76, P=0.03, highly significant
|
|
Group 1
|
28 (26.67)
|
7 (6.67)
|
|
Group 2
|
24 (32.38)
|
1 (0.95)
|
|
Group 3
|
35 (33.33)
|
0
|
|
Total
|
97 (92.38)
|
8 (7.62)
|
Analysis of variance of HAM -A score, HAM-D score, and serum cortisol level among
study and control groups revealed the mean HAM-A score to be statistically significant
(P < 0.05), the mean HAM-D score to be statistically insignificant (P > 0.05), and the mean serum cortisol level to be statistically significant (P < 0.05) [Table 4].
Table 4:
Analysis of variance of Hamilton Anxiety Rating Scale score, Hamilton Depression Rating
Scale score, and serum cortisol level among patients of different groups (n=105)
|
Patients of different groups (mean±SD)
|
Significance (ANOVA)
|
|
Group 1
|
Group 2
|
Group 3
|
Total
|
F
|
P
|
|
ANOVA: Analysis of variance, SD: Standard deviation, HAM-D: Hamilton Depression Rating
Scale, HAM-A: Hamilton Anxiety Rating Scale
|
|
HAM-A score
|
10.03±5.16
|
7±4.37
|
7.74±4.25
|
8.26±4.75
|
4.103
|
0.019
|
|
HAM-D score
|
8.03±4.73
|
7.71±4.07
|
6.51±2.79
|
7.42±3.96
|
1.435
|
0.243
|
|
Serum cortisol level
|
357.17±270.98
|
275.38±140.03
|
245.60±191.82
|
292.71±191.82
|
3.314
|
0.040
|
Comparison of mean HAM-A score, HAM-D score, and serum cortisol level among OSMF-A,
OSMF-B, OSMF-C, and OSMF-D subgroups of Group 1 with control group revealed an increase
in mean HAM-A score from OSMF-A to OSMF-D, increase in mean HAM -D score from OSMF-A
to OSMF-C which was equal to OSMF-D. The mean serum cortisol level was observed to
be maximum in OSMF-C followed in descending order by OSMF-D, OSMF-B, and OSMF-A. The
ratio of serum cortisol level in OSMF-C to control group was noted to be 1.89:1. The
logistic regression analysis with serum cortisol as dependent and HAM-A score, HAM-D
score, and OSMF stage of study group as independent factors revealed that HAM-D and
OSMF stage had a significant association with the serum cortisol level [Table 5]. The flowchart of the study participants is presented in [Figure 1].
Figure 1: Flowchart of the study participants. N: Number of patients, OSMF: Oral submucous
fibrosis, HAM-A: Hamilton Anxiety Rating Scale, HAM-D: Hamilton Depression Rating
Scale, nmol/L: nanomoles per liter
Table 5:
Comparison of mean (standard deviation) of Hamilton Anxiety Rating Scale score, Hamilton
Depression Rating Scale score, and serum cortisol level (nmol/L) among patients of
study group (OSMF-A to OMSF-D) and control group
|
Group
|
Mean±SD
|
|
HAM-A score
|
HAM-D score
|
Serum cortisol level
|
|
SD: Standard deviation, OSMF: Oral submucous fibrosis, HAM-D: Hamilton Depression
Rating Scale, HAM-A: Hamilton Anxiety Rating Scale
|
|
OSMF-A
|
4.29±1.39
|
3.86±0.89
|
123.42±133.86
|
|
OSMF-B
|
7.71±3.86
|
5.86±4.67
|
234.92±224.69
|
|
OSMF-C
|
12±4.4
|
10±3.82
|
494.63±275.41
|
|
OSMF-D
|
13.5±4.45
|
10.3±5.06
|
455.07±244.41
|
|
Control group
|
7.37±4.29
|
7.11±3.52
|
260.61±126.99
|
|
Total
|
8.26±4.75
|
7.42±3.96
|
292.71±191.82
|
DISCUSSION
In the present study, the mean anxiety score of the study group showed a highly significant
difference (P < 0.05) from the control, the mean score of depression was found to higher in the
study group as compared to the control group, the difference of which was not statistically
significant (P > 0.05), and the mean serum cortisol level of the study group showed a highly significant
difference (P < 0.05) from the control.
The present study observed a close connection between depression, serum cortisol,
and OSMF. Progression of OSMF stage has been noted to be associated with depression
probably because of chronicity of the condition and critical weakening (restricted
mouth opening, eating, gulping, talking troubles, and smoldering sensation in the
mouth), which consequently affected the serum cortisol level. Depression has an effect
on the hypothalamo–pitutary–adrenal axis, leading to increased production of corticotrophin-releasing
hormone and consequently increase in the serum cortisol level.
OSMF and its association with psychiatric morbidity have been noticed by Mubeen et al., Raja et al., and Arjun et al. Advanced OSMF stages have been reported to be associated with higher psychiatric
morbidity by Mubeen et al. and Raja et al.[13]
[14]
[15]
The observations of the present study are in accordance with those of the previously
reported studies mentioned above with regard to the association of OSMF and psychiatric
morbidity and their relation to advanced OSMF staging. Over and above, the present
study has added further light on these relationships by correlating them with serum
cortisol level as anxiety, depression, and serum cortisol level were observed to be
higher among patients with advanced OSMF stage as compared with the control.
CONCLUSION
We conclude that there is an association between anxiety, depression, serum cortisol
level, and OSMF and all are interlinked with each other. Further studies are needed
to address neuroendocrinal abnormalities among patients with OSMF.
Acknowledgments
We would like to thank Dr. Sangeeta Kapoor, Department of Biochemistry, TMMC and RC,
Moradabad, and Dr. P. K. Lal, Department of Community Medicine, DMCH, Darbhanga, for
their valuable inputs in the study. We would also like to thank all the participants
of our study.
Financial support and sponsorship
Nil.