The Quality of Life of Adolescents with Menstrual Problems
Abstract Objective To date, very few publications have examined the health related quality of life (HRQL) in the younger population with menstrual problems, despite their high prevalence in adolescent girls. We describe the health-related quality of life (HRQL) among adolescents with menstrual probl...
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Veröffentlicht in: | Journal of pediatric & adolescent gynecology 2013-04, Vol.26 (2), p.102-108 |
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Sprache: | eng |
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Zusammenfassung: | Abstract Objective To date, very few publications have examined the health related quality of life (HRQL) in the younger population with menstrual problems, despite their high prevalence in adolescent girls. We describe the health-related quality of life (HRQL) among adolescents with menstrual problems and identified factors that have an impact on it. Methods The study was a questionnaire study (using PedsQL 4.0) of adolescents aged 13–18 referred to a tertiary gynecology center for menstrual problems between June 2009 and August 2010. Results One hundred eighty-four adolescents completed the questionnaires. The mean age was 15.10 ± 1.49 with the mean body mass index (BMI) of 22.83 ± 4.82 kg/m2 . The most common menstrual problems seen in the clinic were dysmenorrhea (38.6%) followed by heavy bleeding (33.6%), oligomenorrhea (19.6%), and amenorrhea (8.2%). The mean overall score was 70.40 ± 16.36 with 42.3% having a score below 1 standard deviation (SD) from the norms. Adolescents with dysmenorrhea had the poorest score in physical function, whereas those with amenorrhea had the lowest score in psychosocial function. Maternal parenting style, parental anxiety, adolescents' ill-health behavior, and BMI have been found to have impact on the girls' quality of life (QoL). Conclusion Although menstrual problems are not life threatening, they can pose a significant impact on the quality of life of these patients. Identification of these impacts might lead to the recognition of potential services or education to improve this. Understanding the characteristics that predict QoL may help a clinician identify patients who are risk for poor QoL. |
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ISSN: | 1083-3188 1873-4332 |
DOI: | 10.1016/j.jpag.2012.11.004 |