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Background: Symptoms in the premenstrual period can be debilitating and troublesome and impacts the general health of women. There is a dearth of studies examining the relationship between sleep quality and premenstrual symptoms in women, especially in Indian settings. The current study was conducted with the aim of looking at the frequency of premenstrual syndrome (PMS) in different age groups and the association of these symptoms with sleep quality in nursing staff.Methods: The cross-sectional study involved 450 female nursing staff between 25- 50 years of age from various tertiary care hospitals who were administered the Premenstrual Tension Syndrome Rating Scale (PMTS) and Pittsburgh Sleep Quality Index (PSQI). The data was then statistically analyzed.Results: The prevalence of premenstrual symptoms was found to be 85.6% amongst the participants (according to the ACOG criteria), while the proportion of females suffering from PMS (according to DSM IVTR criteria) was 36.5%. A correlation analysis between total scores of PMTS and PSQI showed a positive, linear and significant association.Conclusions: The intensity of PMS was associated with reduction in sleep quality in present study. Further studies on PMS and sleep related parameters need to carry out in larger samples to give impetus to our findings.
ABSTRACT
Background: Symptoms in the premenstrual period have a detrimental impact on the general health ofwomen. There is a lack of studies examining the relationship between menstrual attitudes and symptoms ofpremenstrual syndrome (PMS), especially in the Indian scenario. This study was conducted to look atcontributing factors, frequency of PMS in different age groups and the association of these symptomstowards the attitude towards menstruation in nursing staff.Methodology: The cross-sectional study involved 450 female nursing staff between 25- 50 years of age fromvarious tertiary care hospitals who were administered the Premenstrual Tension Syndrome Rating Scale(PMTS) and Menstrual Attitude Questionnaire (MAQ). The data was then statistically analyzed.Results: The prevalence of premenstrual symptoms was found to be 85.6% amongst the participants(according to the ACOG criteria), while the proportion of females suffering from PMS (according to DSMIVTR criteria) was 36.5%. On studying the association, a negatively significant correlation between scoreson PMTS and mean scores of MAQ across all age groups.Conclusion: The intensity of PMS was associated with negative menstrual attitude in our study. Furtherstudies on PMS, its frequent symptoms and relevant variables may guide psychoeducational interventionsand need to carried out in larger and diverse populations to corroborate our findings.
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Background and Objectives: The primary objective of this study was to determine the prevalence andseverity of Depression, Anxiety and Stress among Interns in Medical Colleges and associated hospitalsacross Maharashtra and to identify the associated factors responsible for the same. The secondary objectivewas to correlate the prevalence of this psychological morbidity with their life style and the probablestressors experienced by them in the course of internship.Methods: This study is an Observational, Cross-Sectional, Questionnaire Based Study which wasconducted online with a sample of 362 interns. The data obtained was entered using Microsoft Excel 2013and analyzed using SPSS 16.0 Software. The Pearson chi square correlation test was used to find out theassociation of various personal and life-style related factors with the levels of depression, anxiety and stressamongst the respondents.Results: Amongst the total respondents, the prevalence of depression, anxiety and stress was found to be59.70%, 63.03% and 38.79% respectively. Many factors specific to the course of internship were found tohave a statistically significant correlation with high prevalence and severity of mental disturbances in theinternsConclusion: There is a very high prevalence of depression, anxiety and stress among interns working inMaharashtra which needs to be effectively dealt with on an urgent basis. The strong association of theprevalence of psychological illnesses with many factors and stressors faced by them will help us highlightthe contributory factors and suggest strategies to deal with them effectively at a personal, institutional andnational level.
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Objectives -It has been estimated that 20-50% patients with Schizophrenia can develop treatment resistance. Treatment resistance is associated with increased morbidity in these patients and it also increases the burden for the caretakers. Very few Indian studies have tried to establish the factors associated with resistance in Schizophrenia. Hence, this study was conducted to identify the socio-demographic profile, illness variables, co-morbidities and cognitive insight in patients with Treatment Resistant Schizophrenia. Methodology: The study was conducted after permission from Institutional Ethics Committee. 50 consecutive patients of Treatment Resistant Schizophrenia (treated with 2 antipsychotics from different classes with adequate doses for 6 weeks each and currently satisfying the DSM IV TR criteria for Schizophrenia) were included in the study. Patients were administered a semi-structured questionnaire to obtain details about sociodemographic status, age of onset, family history, number of episodes and treatment received. DSM-IV-TR was used to identify psychiatric comorbidities. Becks cognitive insight scale was used to assess cognitive insight. Results: The mean age of patients in the study with Treatment Resistant Schizophrenia (TRS) was found to be 33.5yrs with M: F ratio of 1.77:1. It was found that 34% of patients had an onset before 20 yrs of age. Positive family history of mental illness was present in 48% of the TRS patients. Multiple episodes (>5) were present in 36% of patients. TRS was characterized by absence of affective symptoms in 90% of patients. On applying Beck's cognitive insight scale, patients of TRS were found to have higher Self-Certainty score as compared to Self-Reflection, indicating poor awareness into their illness and treatment. Conclusions: It is important to identify Schizophrenia patients with early age of onset, positive family history, absence of affective features and poor cognitive insight to improve the long-term course of Schizophrenia