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SM Journal of Sleep Disorders

Dreams Characteristics and their Relationship with the Psychological Status in Postmenopausal Women

[ ISSN : 2576-5485 ]

Abstract KEYWORDS CITATION INTRODUCTION MATERIAL AND METHODS RESULTS DISCUSSION CONCLUSION REFERENCES
Details

Received: 16-Sep-2016

Accepted: 19-Sep-2016

Published: 28-Sep-2016

Sebastian Carranza Lira1* and Indira del Carmen Toledo Roman2

1Ob-Gyn Chairman of the Research Division in Health, Mexico

2Ob-Gyn resident UMAE, Hospital de Gineco Obstetricia “Luis Castelazo Ayala”, Instituto Mexicano del  Seguro Social, Mexico

Corresponding Author:

Dr. Sebastian Carranza Lira, Puentede piedra 150-422 Torre 1, Col, Toriello Guerra, C.P. 14050 Ciudad de Mexico, Tel/Fax: 55284657;

Abstract

Objectives: To analyze dreams characteristics and their relation with the psychological status in postmenopausal women.

Material and Methods: 200 non-hysterectomized women were interviewed: Group I, premenopausal and Group II, postmenopausal. The last three dreams, the prevalence of nightmares and important situations in daily life were documented. The What’s My M3 test was used to evaluate the psychological status. Comparison among the groups was done with Mann Whitney U test and Chi square. Results: After excluding those with hormonal treatment or who didn’t met the inclusion criteria remained in group I, 76 and in group II 95 women. The median of age was 46 (40-50) and 61 (50-84) years for group I and II respectively. There weren’t any differences among the groups in the What’s My M3 score. The frequency of nightmares was greater in group II: group I, 31.8% and group II, 68.2%. In both groups, dreams were related with daily activities and also were a greater percentage of women with nightmares and What’s My M3 score ≥ 33. Actual diseases were related with nightmares (p < 0.023).

Conclusions: Nightmares were more frequent in postmenopausal women and had a relationship with the psychological status in both groups.

KEYWORDS

Premenopausal

Postmenopausal

Psychological status

Nightmares

CITATION

Carranza LS and Toledo RIC. Dreams Characteristics and their Relationship with the Psychological Status in Postmenopausal Women. SM J Sleep Disord. 2016; 2(1): 1003.

INTRODUCTION

Sleeping is a physiologic process whose mechanisms and function aren’t yet very well-known [1-3]. In older adults it has been found that dream latency and night awakenings are increased, which can exacerbate multiple medical conditions in the geriatric population [4-6].

From apsychoanalytic point of view, sigmund Freud distinguished two types of dream’s content, the manifesto and the latent one. The former is just as the person lives it, while the latter is what the dream truly means [7]. The mechanisms of dream elaboration have as purpose to transform the latent’s dream content in an acceptable content for the moral conscience [7].

Beyond the Freudian school, sleeping is necessary for the health as well as for the good development of individual’s activities. It has been observed that sleep dysfunctions and insomni are frequently found in perimenopausal and postmenopausal women and are associated with increased risk for coronary illnesses as well as increased mortality due to cardiac diseases [5]. During the postmenopause, sleep disturbances have different grades of intensity; they can be chronic or transitory and can also include difficulty to sleep during night, restlessness sleep, early wake up, nightmares and decrease of sleeping time [8]. Mood changes are observed at different stages of the woman’s reproductive life and are related to hormonal changes, that’ why during the postmenopause there is a greater predisposition to have depression [9].

The psychological status can be evaluated with the What’s My M3 that is an on-line, selfevaluated test which is directed to any 18 year-old person or older and indicates the relative risk for depression, anxiety disorder, Obsessive Compulsive Disorder (OCD), Bipolar Disorder (BPD) and Post-Traumatic Stress Disorder (PTSD). The individual scores are added and if the total score is ≥ 33 indicates that psychiatric evaluation is needed. This test is useful for diagnosis, to stimulate th treatment attachment and to follow the long term progress [10,11]. It’s known that there is a stron relationship between postmenopausal status and sleep disorders which are related with disturbed psychological status. For that reason, the objective of the present work was to analyze the dreams characteristics and its relationship with the psychological status in postmenopausal women.

MATERIAL AND METHODS

Two-hundred Mexican non-hysterectomized women who attended to the hospital were interviewed from February to June 2016. They were divided in Group I, premenopausal, between 40 and 50 years (n=100) and Group II postmenopausal (more than 12 months since menopause, n=100). In all them age (years), gestation, parturitions, cesarean sections and abortions were investigated. Weights (kg), height (m), waist perimeter (cm), hip perimeter (cm) were measured and the Body Mass Index (BMI, weight/height2) and Waist Hip Ratio (WHR, waist perimeter/hip perimeter) were calculated. The occupation, marital status, number of sexual intercourses per week, and in the case of not having them, the time without them (years), concomitant illnesses, sport practice, smoking habit and alcoholism were documented. In group II, age at menopause (years) and time since menopause (years) were investigated.

The presence of dreams was investigated, and when they were present, the characteristics of the last three were interrogated (such as what they dream about). Also was investigated if they had nightmares in the last month, important daily life situations related with the dreams and how they defined their relationship with its relatives (grand parents, brothers, sisters, sons, daughters, couple) and work partners. All interviews were done by only one person. The psychological status (depression, anxiety, OCD, BPD, PTSD) was investigated with the What’s My M3 test is considering a score ≥ 33 as abnormal [10,11]. For simple size it was considered a 90% confidence level an 80% power, assuming that 20% of those premenopausal had sleep disturbances due to abnormal psychological status and this will occur in 40% of those postmenopausal. So the simple size was 74 patients per group. For the comparison among the groups, Mann Whitney U test and Chi square were used. The project was authorized by the Local Committee of Research and Ethics in Research in Health with the number R-2016-3606-3 and the patients signed the informed
consent form.

RESULTS

Two-hundred surveys were carried out in non-hysterectomized women. Group I, premenopausal (n=100) and Group II, postmenopausal (n=100). After excluding those with hormonal treatment or other exclusion criteria, remained 76 in group I and 95 in group II. The median of age in group I was 46 years (40-50) and in group II 61 years (50-84) (p < 0.001). Anthropometric, obstetric and civil status variables are shown in (table I).

Table 1: General data in both groups.

  Group I Group II p
Age (years) 46 (40-50) 61 (50-84) < 0.001
Weight (Kg) 70.7 (50-102) 67 (47-97) < 0.005
Height (m) 1.60 (1.49-1.70) 1.59 (1.47-1.75) NS
Body mass index (Kg/m2) 27.6 (21.8-38.8) 26.7 (19-44.8) < 0.037
Waist perimeter (cm) 88.5 (55-152) 78 (59-148) < 0.017
Hip perimeter (cm) 105 ( 78-176) 98 (78-169) < 0.015
Waist-hip ratio 0.80 (0.64-0.93) 0.77 (0.58-0.96) NS
Pregnancies 3 (0-8) 4 (1-9) < 0.004
Parturition 1 (0-5) 2 (0-8) < 0.001
Cesarean section 1 (0-3) 0 (0-3) < 0.053
Abortions 1 (0-4) 1 (0-4) NS
Age at menopause (years) - 49 (43-53) NS
Time since menopause (years) - 12 (2-36) < 0.001
Sexual intercourse/week 1 (0-5) 0 (0-5) < 0.001
Time without sexual intercourse 3 (1-11) 10 (1-30) < 0.001
(years)

Group I: Premenopausal (n=76) Group II: Postmenopausal (n=95). Results are median (range).

The number of sexual relationships per week was significantly greater in group I and the time without a sexual relationship was significantly greater in group II. In group II, age at menopause was 49 years (43-53) and time since menopause was 12 years (2-36) (Table I). Women from group I had less concomitant illnesses than those from group II (52.6% vs 77.8%, p < 0.001) (Table II).

Table 2: Civil status, occupation, physical activity.

    Group I Group II
Civil status Single 14.4 (11) 8.4 (8)
  Married 44.7 (34) 48.4 (46)
  Divorced 17.1 (13) 4.2 (4)
  Widow 2.7 (2) 29.4 ( 28)
Occupation Home 35.5 (27) 58.9 (56)
  Employee 64.4 (49) 41.0 (39)
Sport   27.6 (21) 31.5 (30)

Group I: Premenopausal (n=76) Group II: Postmenopausal (n=95). Results are percentage and number of persons.

In group II, the most frequent illnesses were type 2 diabetes mellitus and systemic arterial hypertension, being significantly more frequent than in group I (p < 0.002 and p < 0.007 respectively) (Table III).

Table 3: Concomitant diseases in both groups.

  Group I Group II p
Type 2 Diabetes mellitus 11.8 (9) 29.4 (28) < 0.002
Systemic arterial hypertension 18.4 (14) 25.2 (24) < 0.007
Rheumatoid arthritis 5.3 (4) 5.3 (5)  
Cardiac disease 1.3 (1) 2.1 (2)  
Gastritis 1.3 (1) 3.1 (3)  
Hypothyroidism 3.9 (3) 2.1 (2)  
Osteoporosis 0 2.1 (2)  
Breast cancer 1.3 (1) 1.0 (1)  
Epilepsy 1.3 (1) 1.0 (1)  
Chronic obstructive pulmonary disease 1.3 (1) 1.0 (1)  
Hypercholesterolemia 5.2 (4) 1.0 (1)  
Hyperthyroidism 0 1.0 (1)  
Venous insufficiency 0 1.0 (1)  
Antiphospholipid antibody syndrome 1.3 (1) 0  

Group I: Premenopausal (n=76) Group II: Postmenopausal (n=95) Results are percentage and number of persons.

In group I, concomitant illnesses and ≥ 33 score in the What’s My M3 test was (57.5% n=23, p NS) and in the group II (84.5% n=49, p < 0.047). In both groups the smoking habit and alcoholism were similar (Table IV).

Table 4: Smoking habit, alcoholism, cigarettes and alcohol per week in two groups

  Group I Group II p
Smoking habit 35.5 (27) 24.2 (23) NS
Cigarettes/week 0 (0-100) 0 (0-80) NS
Alcoholism 18.4 (14) 14.7 (14) NS
Alcohol/week 0 (0-2) 0 (0-2) NS

Group I: Premenopausal (n=76) Group II: Postmenopausal (n=95). Results are median (range), percentage and number of persons.

The women’s relationship with their grandparent’s wasn’t possible to establish in both groups because they were deceased and similar happened with parents in group II. In both groups they referred good relationship with brothers and very good with their sons and daughters, good relationship with the couple and work partners,
although in group II many hadn’t any couple and they stayed at home (Table V).

Table 5: Comparison in each group of family and work partners relationship

  Very good Good Regular Bad Very bad No apply
  Group I Group II Group I Group II Group I Group II Group I Group II Group I Group II Group I Group II
Maternal 5.3 (4) 0 11.8 (9) 1.0 (1) 5.3 (4) 0 0 0 0 0 77.6 (59) 98.9 (94)
grandparents
Paternal 5.3 (4) 2.1 (2) 19.7 (15) 1.0 (1) 6.6 (5) 0 0 1.0 (1) 0 0 68.4 (52) 95.8 (1)
grandparents
Father 17.1 (13) 7.4 (7) 42.5 (31) 14.7 (14) 15.8 (12) 6.3 (6) 0 0 0 0 26.3 (20) 71.6 (68)
Mother 44.7 (34) 25.3 (24) 34.2 (26) 13.6 (13) 5.3 (4) 1.0 (1) 1.3 (1) 0 0 0 14.5 (11) 60 (57)
Brothers 14.5 (11) 18.9 (18) 51.3 (39) 46.3 (44) 15.8 (12) 16.8 (16) 1.3 (1) 0 1.3 (1) 0 15.8 (12) 17.9 (17)
Sisters 42.1 (32) 31.6 (30) 39.5 (30) 46.3 (44) 3.9 (3) 10.5 (10) 0 1.0 (1) 1.3 (1) 0 13.2 (10) 10.5 (10)
Sons 60.5 (46) 60 (57) 13.2 (10) 21.0 (20) 5.3 (4) 2.1 (2) 0 0 0 0 21.0 (16) 16.8 (16)
Daughters 72.4 (55) 72.6 (69) 6.6 (5) 7.4 (7) 0 1.0 (1) 0 1.0 (1) 0 0 21.0 (16) 17.9 (17)
Couple 17.1 (13) 4.2 (4) 38.2 (29) 31.6 (30) 23.7 (18) 20 (19) 3.9 (3) 3.2 (3) 0 1.0 (1) 17.1 (13) 40 (38)
Work partners 6.6 (5) 1.0 (1) 35.5 (27) 25.3 (24) 21.0 (16) 14.7 (14) 1.3 (1) 1.0 (1) 0 0 35.5 (27) 57.9 (55)

Group I: Premenopausal (n=76) Group II: Postmenopausal (n=95). Results are percentage and number of persons.

Nightmares and their monthly number were significantly greater in group II (Table VI).

Table 6: Dreams per month, nightmares and nightmares per month in both groups

  Group I Group II p
Nightmares 31.8% (n=28) 68.2% (n=60) < 0.001
Nightmares/month 0 (0-5) 1 (0-4) < 0.002
Dreams/month 2 (0-3) 2 (0-3) NS

Group I: Premenopausal (n=76) Group II: Postmenopausal (n=95). Results are median (range), percentage and number of persons.

In both groups, women that only referred a dream in the month mostly had dreams related with daily activities, group I, 21.0% (n=16) and group II, 15.8% (n=15), followed in group I by those related with contact with nature or trips 13.1% (n=10) and something related with dead people or cadavers 7.9% (n=6) and in group II with something related with illness or some lesion of a known person or family 13.7% (n=13) and contact with nature 12.6% (n=12) (Table VII).

Table 7: More common dreams in which only had one dream.

Aggrupation code Dream Aggrupation Group I Group II
1 No dreams/no remember dreams 17.1 (13) 8.4 (8)
2 Company or visit of known person or relative 2.6 (2) 1.0 (1)
3 Aggression of somebody (known, relative/discussionwith somebody) 3.9 (3) 1.0 (1)
4 Feeling alone, away, uncommunicated, nude 1.3 (1) 0
5 Coexistence with animals 1.3 (1) 1.0 (1)
6 Aggression from animals to her 1.3 (1) 1.0 (1)
8 Natural disasters (earthquake, floods, etc.) 1.3 (1) 2.1 (2)
9 Related to dead personsor cadavers 7.9 (6) 4.2 (4)
10 She is sick or dies 2.6 (2) 4.2 (4)
11 Somebody attack her or kill her 1.3 (1) 1.0 (1)
12 She has injures (fractures, hair fall, skin fall, bleed out, dismember) 2.6 (2) 9.5 (9)
13 Dream with something bad-overnatural-the beyond (with the devil, malignant shadow, dark places and 2.6 (2) 4.2 (4)
tenebrous, “the death went up”)
14 Fantasies (fly, jump from very high, strech, fall in the vacuum, unknown and strange places, can’t move 6.6 (5) 9.5 (9)
their limbs)
15 Daily activities 21.0 (16) 15.8 (15)
16 Nature contact/travels (gardens, rivers, camp) 13.1 (10) 12.6 (12)
17 Disease or lesion of a known person or family 5.3 (4) 13.7 (13)
18 Accident of her or her family 5.3 (4) 8.4 (8)
19 Dream with money, jewels, jewelry. 2.6 (2) 2.1 (2)

Group I: Premenopausal (n=76) Group II: Postmenopausal (n=95). Results are percentage and number of persons.

In women that had two dreams, in Group I 5.3% (n=4) were related with aggressions of animals toward her, natural disasters, fantasies like flying, to stretch out exaggeratedly and to fall in the vacuity. In group II, the greater percentage were dreams related with dead people or cadavers in 9.5% (n=9), followed by aggression of animals toward her 7.4% (n=7) and dreams related with the death, the devil, evil 6.3% (n=6) (Table VIII).

Table 8: More common dreams in which had two dreams.

Aggression Dream Aggrupation Group I Group II
code
2 Company or visit of known person or relative 3.9 (3) 4.2 (4)
3 Aggression of somebody (known, relative/discussion with somebody) 3.9 (3) 3.2 (3)
4 Feeling alone, away, uncommunicated, nude 1.3 (1) 1.0 (1)
5 Coexistence with animals 2.6 (2) 0
6 Aggression from animals to her 5.3 (4) 7.4 (7)
7 Contact with something (someone) extraordinary (famous, artists, important people) 1.3 (1) 0
8 Natural disasters (earthquake, floods, etc.) 5.3 (4) 4.2 (4)
9 Related to dead persons or cadavers 2.6 (2) 9.5 (9)
10 She is sick or dies 1.3 (1) 1.0 (1)
12 She has injures (fractures, hair fall, skin fall, bleed out, dismember) 0 2.1 (2)
13 Dream with something bad-overnatural-the beyond (with the devil, malignant shadow, dark places and tenebrous, “the 2.6 (2) 6.3 (6)
death went up”)
14 Fantasies (fly, jump from very high, stretch, fall in the vacuum, unknown and strange places, can’t move their limbs) 5.3 (4) 2.1 (2)
15 Daily activities 1.3 (1) 4.2 (4)
16 Nature contact/travels (gardens, rivers, camp) 1.3 (1) 0

Group I: Premenopausal (n=76) Group II: Postmenopausal (n=95). Results are percentage and number of persons.

In women that had three dreams, in group I, the most frequent were related with aggression or discussion with some person, aggression of animals toward her, natural disasters and relationship with dead people or cadavers, while in group II were the aggression or discussion with some person (Table IX).

Table 9: More common dreams in which had three dreams

Aggression Dream Aggrupation Group Group
code I II
2 Company or visit of known person or relative 0 1.0 (1)
3 Aggression of somebody (known, relative/ 1.3 (1) 2.1 (2)
discussion with somebody)
6 Aggression from animals to her 1.3 (1) 1.0 (1)
8 Natural disasters (earthquake, floods, etc.) 1.3 (1) 1.0 (1)
9 Related to dead persons or cadavers 1.3 (1) 1.0 (1)
10 She is sick or dies 0 1.0 (1)

Group I: Premenopausal (n=76) Group II: Postmenopausal (n=95). Results are percentage and number of persons.

Women with irrelevant activities in previous days and without dreams were in Group I 17.1% p < 0.001 and in group II 8.4% p < 0.001 when compared with those with that had other activities and have dreams Group I 60.5% and Group II 69.5%. Previous activities to dreams, were referred as anything out of common in both groups (Group I 42%, n=32 and Group II 44%, n=42) followed in group I by bad relationship or fights with somebody and doing activities like traveling, running, dancing, cooking, singing (10.5%, n=8, for both types) and in group II feeling sick (10.5%, n=10) (Table X).

Table 10: Previous to dream activities in which reported only one activity

Aggression Dream Aggrupation Group I Group II
code
1 Nothing out of common 42.0 (32) 44.0 (42)
2 Stressed in work or home 9.2 (7) 9.4 (9)
3 Bad relation or fight with somebody 10.5 (8) 9.5 (9)
4 Fear to something or somebody 3.9 (3) 3.1 (3)
5 She Felt sick 2.6 (2) 10.5 (10)
6 Some known person or relative is sick or died 7.9 (6) 9.5 (9)
7 Traveling, playing, singing, dancing, cooking, 10.5 (8) 3.1 ( 3)
running
8 Some notice or agreeable surprise 3.9 (3) 2.1 (2)
9 Felt sad, depressed or worried 6.6 (5) 7.4 (7)
10 Natural events 2.6 (2) 1.0 (1)

Group I: Premenopausal (n=76) Group II: Postmenopausal (n=95). Results are percentage and number of persons.

In women that referred two activities previous to the dreams, in group I were bad relationship or fights with somebody and fear to something or somebody (1.3%, n=1 for each type) and in group II were stressed in the work or house (8.4%, n=8) (Table XI).

Table 11: Previous to dream activities in which reported two activities.

Aggression Dream Aggrupation Group I Group II
code
1 Nothing out of common 0 4.2 (4)
2 Stressed in work or home 0 8.4 (8)
3 Bad relation or fight with somebody 1.3 (1) 2.1 (2)
4 Fear to something or somebody 1.3 (1) 0
6 Some known person or relative is sick or 0 2.1 (2)
died

Group I: Premenopausal (n=76) Group II: Postmenopausal (n=95). Results are percentage and number of persons

In group I, the association of nightmares with bad family relationship was with the couple (20.6% n=13, p < 0002) and brothers (14.5% n=9, p < 0.039), in group II the results weren’t statistically significant (Table XII) of all women with nightmares,

Table 12: Nightmare association with bad relationships with family and work partners in both groups.

  Group I Group II
Maternal 5.8 (1) 0
grandparents
Paternal 8.3 (2) 0
grandparents
Father 5.3 (3) 14.8 (4)
Mother 4.6 (3) 2.6 (1)
Brothers 14.5 (9) 13.5 (10)
Sisters 1.5 (1) 7.0 (6)
Sons 3.3 (2) 0
Daughters 0 1.3 (1)
Couple 20.6 (13) 24.5 (14)
Work partners 14.2 (7) 27.5 (11)

Group I: Premenopausal (n=76) Group II: Postmenopausal (n=95). Results are percentage and number of persons.

31.8% (n=28) were from group I and 68.2% (n=60) from group II, (p < 0.001). In group I, the presence of nightmares was related with previous activities in 85.7% (n=24, p < 0.001) and in the group II in 85.0% (n=51, p < 0.001). In the whole group, there were 38.5% (n=66) with nightmares and concomitant illnesses (p < 0.023). In group I those who had nightmares and were sick were 23.6% (n=18) and in group II 50.5% (n=48) (p < 0.001 between them). In relation to the psychological status measured with the What’s My M3 test, there was a non-significant difference among the groups in the total score, only the PTSD score was greater in group I, (p < 0.01) (Table XIII).

Table 13: What’s My M3 item and total score by group

  Group I Group II p
Depression 12 (0-23) 13 (4-24) NS
Anxiety 9 (2-25) 11 (2-25) NS
Obsessive compulsive disorder 5 (0-10) 5 (0- 9) NS
Bipolar disorder 5 (0-13) 5 (1-10) NS
Post-traumatic stress disorder 3 (0- 7) 2 (0-7) < 0.010
Total score 33.5 (6-69) 35 (17-69) NS

Group I: Premenopausal (n=76) Group II: Postmenopausal (n=95). Results are median (range).

In the whole group, those with What’s My M3 ≥ 33, were in group I, 23.4% (n=40) and in group II, 33.9% (n=58) without significant differences among them. In group I, the percentage of those who had nightmares and What’s My M3 test score ≥ 33 was greater than those with score< 33 (82.1%, n=23 and 17.9%, n=5 respectively p < 0.001), and similar happened in group II (68.3%, n=41 and 31.7%, n=19 respectively p < 0.05).

DISCUSSION

In postmenopausal women, several factors increase the possibility to have mood dysfunctions (depression, anxiety, etc.) such as marital relationship, marital status, social isolation or concomitant illnesses [9]. In this study, there weren’t statistically significant results when comparing these items between premenopausal and postmenopausal women.

In this study, premenopausal women had a greater PTSD score, which can be explained by the fact of having a bad couple relationship which agrees with has already been reported [12-14]. In premenopausal women nightmares were associated with bad couple and brothers relationship. All this open the possibility to give family therapy to try to decrease this problem, and probably avoid the presentation of the PTSD. In both groups, the presence of nightmares was related to previous nightmare activities, as has already been described [7]. In those postmenopausal there was a greater frequency of nightmares and an important percentage had a
score ≥ 33 in the What’s My M3 test. In both groups, there were a significant number of women who had nightmares and punctuation ≥ 33 in the What’s My M3 test as has already been described for those postmenopausal [15]. All this can be related to estrogen deficiency, but this study had the limitation of no measuring estrogen levels and correlated with the number and kind of nightmare. Other study need be designed so the effect of estrogen therapy in nightmares can be assessed. The relationship between nightmares and previous activities was significant in both groups, what agrees with that described by Freud [7]. It has been described that postmenopausal women have a greater frequency of chronic degenerative illnesses and greater cardiac morbidity and mortality [16], which was corroborated in this
study, being the most frequent the type 2 diabetes mellitus and the arterial systemic hypertension; also, nightmares were more frequent in sick postmenopausal women.

CONCLUSION

Nightmares are more frequent in postmenopausal women and are related with psychological status in both premenopausal and postmenopausal women.

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Role of Sleepiness in Road Traffic Accidents among Young Egyptian Commercial Drivers

Background: Egypt is ranked the third country in the world with highest mortality rates due to road traffic accidents. The commonest cause of accidents was inattention of the driver. Driver inattention can be caused by practicing any activity other than driving or by sleepiness. Sleep at wheels can be caused by poor sleep habits, shift work, sleep disordered breathing, other sleep disorders as chronic insomnia, illicit drug abuse and medical disorders.

Methods: A cross sectional study including 324 male commercial drivers. The following data was collected history of accidents, the driving behavior including mean daily driving hours mean driving years mean daily sleep duration, shift work, seat belt, tea/coffee while driving and driving after meals. The sleepiness was assessed by history of excessive daytime sleepiness, Epworth sleepiness scale, Functional outcome of sleep questionnaire, chronic insomnia, nodded while driving, naps, risk for obstructive sleep apnea and history of comorbidities. Assessment of urine tetra hydrocanabinol (the major active ingredient in marijuana and hashish) was done. Driver’s characteristic included education level, vehicle type license class road and nature of work.

Results: Prevalence of ever exposure to accidents is 25%. Independent predictors of accidents were urine THC (OR=5.3), nodding during driving (OR=4.6), Berlin questionnaire (OR=2.5), STOP Bang questionnaire (OR=1.5), FOSQ (OR= 0.9), mean daily total sleep hours (continuous) (OR=0.9).

Conclusion: Accidents were common among studied group of drivers. It is recommended to screen drivers for urine THC, identify nodding during driving, Berlin questionnaire, STOP Bang questionnaire, FOSQ and mean daily total sleep hours to predict the driver with high risk of the sleep related accidents.

Ahmad Yonis Badawy1 , Nesreen Elsayed Morsy2*, Sayed Ahmad Abdelhafez1, Abdel-Hady El-Gilany3 and Mohsen Mohammed EL shafey1


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Sleep Deprivation during Pregnancy: The Cost of Ignorance

Sleep deprivation is emerging as a major health concern due to the changing life style in the current 24X7 society. Each one of us has experienced insomnia, acute or chronic, at some point of our lives. 

Kamalesh K 


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Sleep Deprivation A Mini Review

Sleep is an important process for human beings in order to keep many biological functions in a healthy recycle. However, several factors affecting sleep could induce too many sleep disorders in modern society, such as sleep deprivation. Sleep deprivation has complex biological consequences inducing different biological effects, such as neural autonomic control changes, increased oxidative stress, altered inflammatory and coagulatory responses and accelerated atherosclerosis. This mini review summarizes consequence of sleep deprivation and its effects on the treatment of depression in different studies in order to have a better understanding of the impact of sleep deprivation on the equilibrium at multiple levels of sleep deprivation.

Qi-Chang Lin* and Dong-Dong Chen


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Sleep Instability in Adults with NonRefractory Temporal Lobe Epilepsy

Purpose: The aim of this study was to analyze sleep instability using Cyclic Alternating Pattern (CAP) during NREM sleep in patients with non-refractory Temporal Lobe Epilepsy (TLE) compared to control subjects.

Material and Methods: Our sample comprised 13 patients who underwent a neuroimaging examination and were diagnosed with non-refractory TLE, and 13 normal subjects. The sleep parameters and CAP analyses were assessed according to international criteria. We used the Mann-Whitney U-test with a significance level of 5%.

Results: The age of our subjects were similar between patients and the control group (33.8 ± 8.5 y.o. vs 26.1 ± 9.2 y.o., respectively), and all of them showed normal sleep efficiency. Patients with non-refractory TLE showed an increase in the CAP rate and longer CAP time compared to the control group (p < 0.001). We found a higher arousal index during NREM sleep compared to normal controls (10.2 ± 2.9 versus 6.3 ± 1.7; p = 0.001, respectively). However, the arousal index during REM sleep was similar in both groups (p=0.075). A subgroup analysis performed on both genders showed no significant differences.

Conclusion: Patients with non-refractory TLE showed an increased in CAP rate and arousal index compared to normal control subjects. Sleep instability might be associated with epilepsy itself and may reflect the relationship between the epileptic foci and systems responsible for sleep maintenance and stability. CAP may serve as a useful marker of endogenous circadian rhythms in mild disorders. Further studies are required to elucidate the role of sleep instability in TLE.

Marine Meliksetyan Trentin1 , Jaderson Costa Da Costa2 and Maria-Cecilia Lopes3*


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Non Respiratory Sleep Disorders In Obese A Mini-Review

Obesity has become an epidemic worldwide. The health hazards and consequences of obesity are multiple. We will try to briefly go through the interrelationship between obesity and various sleep disorders in this mini review. Poor dietary behaviors resulting in obesity will also affect the sleep quality and might lead to breathing related sleep disorders. Improving dietary habits and prevention of obesity should be included within the management plan of various sleep disorders. Obesity is not only linked to sleep related breathing disorders but also affects sleep quality, duration, circadian pattern, restless leg syndrome, and sleep-related eating disorder.

Nevin FW Zaki1*, Abdelbaset Saleh2 and Magda A Ahmed2


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The Influence of Sleep Disorders, Sleep Habits, Comorbidities on the Sleep Quality of Medical Students and the Consequences of these Findings

Objectives: Sleep impairment and sleep disorders have various repercussions on the quality of life of an individual, affecting his professional, academic performance and mental health. The objective of this study was to assess the influence of sleep characteristics and comorbidities on the quality of sleep of medical students from a University Center, as well as their consequences.

Methods: Subjects were evaluated for sleep habits, sleep disorders, comorbidities, quality of sleep, impact on work and social relations, and memory complaints.

Results: The mean of hours of sleep for the group (n=135) was 6.42, the mean Epworth Sleepiness Scale score was 10.4, the mean Pittsburgh Sleep Quality Index score was 6.98. Significant associations between poor quality of sleep and number of hours of sleep (p= 0.00), Beck Depression Inventory scores (p= 0.03) and Beck Anxiety Inventory scores (p = 0.00) were detected. Depressive disorder was a factor for the worst PSQI results (linear regression analysis, p = 0.01).

Conclusion: Sleep deprivation, depressive and anxiety symptoms are related to a poor quality of sleep among medical students, influencing work and social life. Thus, we alert medical schools to be aware of the workload and attributions of these students and also of the possible depressive symptoms, anxiety symptoms and suicidal ideation between medical students.

Charles Maroly Lessa Mantovani, Gustavo Rogério Pinato, Arthur Antunes Prado and Karen dos Santos Ferreira*


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Proposal for Controlled Trial to Support the Hypothesis that Competitive Eating may be Protective against Development of Obstructive Sleep Apnea

Competitive Eating (CE), in recent times, has developed an international reputation (particularly in the United States, Canada, Japan and Australia) as a progressive sporting interest with burgeoning groundswell participatory and spectator support [1]. Speed Eaters or “Wolfers” such as the notable Joey “Jaws” Chestnut, multiple title holder of the July 4 Nathan’s Hot Dog Eating Contest [2], have had to suffer the ignominious “slings and arrows” of assumptions regarding the dangers of the sport, and the messages it sends in the context of rising obesity concerns [3], without any documented controlled trials to confirm such charges. Contrarily, we propose the hypothesis that CE may in fact be protective against onset of OSA, a condition that affects as many as 24% of men and 9% of women [4]. Such an hypothesis could be tested via a randomised controlled clinical trial, with recruited participants keen to transition from amateur consumption (or ‘best available eating practice’) to CE, randomly allocated to immediate entry to training and competition or to ongoing usual eating for 6 months. Both groups would undergo formal in laboratory polysomnography at commencement and 12 months, and then control group participants could still contract to CE thereafter. Such a design would permit support or refutation of our hypothesis. The study could perhaps also incorporate Electromyography (EMG) assessment of masticatory muscles and upper airway dilators (such as Genioglossus) in both groups (performed via needle electrode placement on the evening of polysomnography), to elucidate potential underlying mechanisms and for accurate physiological phenotyping [5]. MRI imaging for anatomical assessment would add further supportive data. Others have published on unusual upper airway muscle strengthening modalities as in didgeridoo playing [6] in controlled trials, and treatment effects have been noted. A negative may be progressive weight gain, and height, weight, body mass index and neck circumference would need to be recorded in both groups at 0, 6 and 12 months.

MacKay Stuart G1*, Lewis Richard H2 , Weaver Edward M3


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Summer Schedules affect Sleep Quality

Summer schedules affect all ages of sleepers. The student out of term for the summer break to the worker spending more time in outdoor activities given the mild weather lead impact the sleepers’ sleep rest cycle. Research findings have indicated measured advances in both readiness for sleep and sleep times with earlier rise times. The amount of light variability with the summer months for many locations to be of a longer interval, directly corresponds to these advanced sleep timings.

Kathy Sexton-Radek


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Severe Mid-Face Retrognatism following BiPAP use in a Patient with Muscular Dystrophy

Aim: To describe severe facial disfigurement in a patient with familial Progressive Muscular Dystrophy

(PMD) treated with a Bi-level Positive Airway Pressure (BiPAP) device.

Study design and methods: A 41-year-old female with PMD was treated with BiPAP from the age of 21in

order to improve sleep-disordered breathing and nighttime hypoventilation.

Results: Severe mid face retrogantism was noted with a reverse over jet between upper and lower incisors

of 12 millimeters in centric relation.

Conclusion: We present a rare case of severe facial disfigurement secondary to orthopedic forces from

a BiPAP device in a patient with familial PMD. The simple addition of a forehead or chin support may minimize these changes.

Yaron Haviv* and Naama Keshet