Background: Menstruation is a normal physiological process and irregular menstrual pattern is a problem affecting the quality of life among women in the reproductive age group. Although many factors contribute to the irregularity in menstrual cycles this study was conducted to find out the relationship between the body mass index (BMI) and irregular menstrual pattern.Methods: A cross-sectional study was conducted in the rural health and training centre of SRM hospital between August and October 2018 by using a convenience sampling method and data was collected from 163 women in the reproductive age group and analysed to find out the relationship between the BMI and menstrual irregularity.Results: The mean age of the study participants was 31.29 (±8.32) years and their mean age at menarche was 12.59 (±1.86) years. Majority of the study participants belongs to lower middle class (25%), Hindus (85%) by religion, married (82%), homemakers (53%) belongs to nuclear family (45%) having education up to high school level (61%). Only 44% of the participants have their BMI within normal range and 8% are obese. Irregular menstrual pattern was present in 13% of the study participants. The association between the BMI and the irregular menstrual pattern was found to be significant with a p<0.05.Conclusions: A significant association between the BMI and the irregular menstrual pattern highlights the importance of adapting simple and effective lifestyle and behavioural modifications in the reduction of excess weight thereby leading to healthy reproductive life among women.
Background: Sleep is the state, in which the organism temporarily, partially and periodically loses its interaction with surroundings at different intensities and which can be reversed with stimuli. Sleep deficiency in sleep is linked with many physical ailments. The present study was aimed at assessing the sleep quality of patients attending the outpatient department of a rural health centre in Kacheepuram, Tamilnadu.Methods: A cross sectional study was conducted amongst patients attending the OPD of rural health center of a Medical College Hospital at Kancheepuram. A pretested semi structured questionnaire based on Pittsburgh sleep quality index (PSQI) was used to collect data. Data were entered on and analyzed using Microsoft excel spread sheet.Results: Of the 150 participants who participated in the study 87 (58%) were males and 63 (42%) were females. In the present study there were 80 participants (53.3%) under the age of 40 years and 70 participants (46.7%) over the age of 40 years. Of the 150 participants 85.3% of them had a sleeping time <8 hrs a day and a minority of them 14.7% had a sleeping time of >8 hrs a day. The sleep quality of females was slightly better (54%) when compared to males. It was also observed that only 10 (9.7%) of the skilled workers had good quality of sleep when compared to unskilled workers.Conclusions: Our present study shows, the prevalence of poor-quality sleep was 31.3%. Various factors like gender, occupation and education were found to positively associated with poor quality sleep.
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