Prevalence and pattern of menstrual disorders among Lebanese nursing students

Karout, N; Hawai, S M; Altuwaijri, Saleh

doi:10.26719/2012.18.4.346

Cited by 113 publications

(135 citation statements)

References 35 publications

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“…This was lower than the previous studies conducted in Saudi (92%) [46] Nigeria (76%) [47], but higher than the studies carried out in Lebanon (63.1%) [48] Ethiopia (72%) [8]. We found that the prevalence of dysmenorrhoea (OR: 3.048) and leucorrhoea (OR: 2.889) were associated with abnormal menstrual cycle.…”

Section: Menstrual Pattern and Disorderscontrasting

confidence: 56%

Relationship of menstrual disorders with nutritional status of college girls from Bankura District, West Bengal, India.

Patsa

Pal

Sen

et al. 2016

IJB

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Menstrual disorders are the most common complaints of the women. This often leads to anxiety, depression and other such psychological problems. The present study was conducted to find out the association of nutritional status with menstrual pattern and menstrual disorders of college girls. This study was employed on ninety-seven female college students (18- 22 years) of Bankura district. A pre-tested, semi-structured questionnaire was used to collect socioeconomic data and information regarding menstrual pattern and disorders. Anthropometric parameters including body mass index (BMI), body fat percentage (PBF), body adiposity index (BAI) was determined and mid-thigh circumference (MTC) was measured of each girls. From this study it was found that the Age at menarche (AAM) of college girls was 12.76±1.32 which was inversely related to the socioeconomic status and some anthropometric parameters like BMI, PBF, BAI, MTC etc. Monthly per capita income (MPCI) was an important determinant of weight (F=4.374; P=0.015), BMI (F=3.414; P=0.037), PBF (F=3.600; P=0.031) among the college girls. Pearson Product Moment Correlation showed that AAM, maternal education, number of sibling, number of family members, MPCI was associated with some anthropometric parameters viz. BMI, MTC, PBF, BAI. Linear Regression analysis showed that among the five factors (viz. AAM, maternal education, number of sibling, number of family members, MPCI) the maternal education and MPCI was the main determining factor for BMI. The prevalence of PMS, dysmenorrhoea and leucorrhoea was 67.01%, 73.20% and 85.57% in this study population. It can be concluded that AAM was inversely related to the anthropometric parameters (BMI, PBF, BAI, MTC) and more than two third of the college students was suffering from different menstrual disorders. U-shaped relationship between BMI and dysmenorrhea clearly focused the influence of body fat on dysmenorrhoea.

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Section: Menstrual Pattern and Disorderscontrasting

confidence: 56%

Relationship of menstrual disorders with nutritional status of college girls from Bankura District, West Bengal, India.

Patsa

Pal

Sen

et al. 2016

IJB

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“…15 Karout et al in Saudi Arab, Jan et al in Pakistan, Oche et al in Nigeria, Lawan et al in Nigeria, Poureslami et al in Tehran highlighted mother as main source of information and teacher playing a minor role. [16][17][18][19][20] However, few studies quoted teachers and friends as the main source of information. Kumar et al in urban area of Garhwal, Uttarakhand reported friends were the first informant in case of 196 (46.75%) girls and it was followed by mother (26.8%).…”

Section: Discussionmentioning

confidence: 99%

A community based study on age of menarche among adolescent girls in Aligarh

Tarannum

Khalique

Eram

2017

Int J Community Med Public Health

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Background: Age at menarche reflects the health status of a population. This marks the beginning of sexual maturation and is affected by various factors. This study measured the menarcheal age of adolescent girls in Aligarh and explored factors that could influence the onset of menarche.Methods: A descriptive cross-sectional study in schools under Aligarh Muslim University, Aligarh was undertaken. A total of 422 girls were taken by systematic random sampling with probability proportionate to size. Data was analysed statistically by ANOVA and post hoc Scheffe test using SPSS Version 20.Results: Majority of the study population (69.9%) had attained menarche between 12-14 years. The mean age of menarche is 12.52±1.415. On analysis of variance (ANOVA) testing, the age of menarche was significantly associated with socioeconomic class (p=0.002). On applying post hoc Scheffe test there was a significant difference in the mean age of menarche between class 1 and class 5 (p=0.01).Conclusions: In this study most of the girls attained menarche between 12-14 years. Socio economic class and birth order had influenced the age of menarche. Mothers were main source of information on attainment of menarche.

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“…With onset of menstruation a girl becomes aware of her emerging identity as a female capable to reproduce. Her understanding and acceptance of her new identity will be greatly influenced by the feedback she receives from peers, educators and most importantly her parents (6,7). Menstruation occurs periodically throughout the child bearing years, except during pregnancy and lactation.…”

Section: Imentioning

confidence: 99%