Literature DB >> 15385075

Psychosocial and lifestyle correlates of premenstrual symptoms among military women.

Laurel L Hourani1, Huixing Yuan, Robert M Bray.   

Abstract

BACKGROUND: This study examines the prevalence and correlates of self-reported premenstrual symptoms among a large, population-based sample of reproductive age, active-duty women.
METHODS: Data were obtained from a combined dataset of two large-scale mail surveys designed to represent the total force. Subjects included in the present study were 6026 active-duty women of all branches of military service stratified by service, paygrade group, race/ethnicity, and location. A multivariate approach is used to evaluate the interrelationships among psychosocial and lifestyle correlates of premenstrual symptoms or pain after controlling for demographic differences in women who reported premenstrual symptoms or pain during the past 3 months (cases) and those who did not (controls).
RESULTS: Premenstrual symptoms were reported by nearly 2 of every 3 reproductive age women. Women reporting premenstrual symptoms were more likely to report other symptoms of menstrual dysfunction, two or more current medical conditions, migraines, and healthcare provider visits in the past year. After controlling for the protective effects of taking Depo-Provera (Upjohn, Kalamazoo, MI) and ever being pregnant, younger age, trying to lose weight, heavier drinking, poorer self-perceived health, and overall job stress were the most significant predictors of premenstrual symptoms. The greatest risk factor was a high level of job stress, with an almost 3-fold increase in risk relative to those without symptoms.
CONCLUSIONS: Work stress may mediate the relationship among depression and premenstrual symptoms. Further research is needed to elucidate the biological interrelationships among work stress, hormonal function, and premenstrual symptomatology.

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Year:  2004        PMID: 15385075     DOI: 10.1089/jwh.2004.13.812

Source DB:  PubMed          Journal:  J Womens Health (Larchmt)        ISSN: 1540-9996            Impact factor:   2.681


  16 in total

1.  Adiposity and the development of premenstrual syndrome.

Authors:  Elizabeth R Bertone-Johnson; Susan E Hankinson; Walter C Willett; Susan R Johnson; JoAnn E Manson
Journal:  J Womens Health (Larchmt)       Date:  2010-09-27       Impact factor: 2.681

2.  Negative attitudes and affect do not predict elective hysterectomy: a prospective analysis from the Study of Women's Health Across the Nation.

Authors:  Carolyn J Gibson; Joyce T Bromberger; Gerson E Weiss; Rebecca C Thurston; MaryFran Sowers; Karen A Matthews
Journal:  Menopause       Date:  2011-05       Impact factor: 2.953

3.  Perceived stress and severity of perimenstrual symptoms: the BioCycle Study.

Authors:  Audra L Gollenberg; Mary L Hediger; Sunni L Mumford; Brian W Whitcomb; Kathleen M Hovey; Jean Wactawski-Wende; Enrique F Schisterman
Journal:  J Womens Health (Larchmt)       Date:  2010-05       Impact factor: 2.681

4.  Lifestyle factors, hormonal contraception, and premenstrual symptoms: the United Kingdom Southampton Women's Survey.

Authors:  Carrie Sadler; Helen Smith; Julia Hammond; Rosie Bayly; Sharon Borland; Nick Panay; David Crook; Hazel Inskip
Journal:  J Womens Health (Larchmt)       Date:  2010-03       Impact factor: 2.681

5.  Health advantage for black women: patterns in pre-menstrual dysphoric disorder.

Authors:  C E Pilver; S Kasl; R Desai; B R Levy
Journal:  Psychol Med       Date:  2010-11-26       Impact factor: 7.723

6.  Association between Hardness (Difficulty of Chewing) of the Habitual Diet and Premenstrual Symptoms in Young Japanese Women.

Authors:  Kentaro Murakami; Satoshi Sasaki; Yoshiko Takahashi; Kazuhiro Uenishi; Tomoko Watanabe; Toshiyuki Kohri; Mitsuyo Yamasaki; Reiko Watanabe; Keiko Baba; Katsumi Shibata; Toru Takahashi; Hitomi Hayabuchi; Kazuko Ohki; Junko Suzuki
Journal:  Environ Health Insights       Date:  2010-01-18

7.  Timing of alcohol use and the incidence of premenstrual syndrome and probable premenstrual dysphoric disorder.

Authors:  Elizabeth R Bertone-Johnson; Susan E Hankinson; Susan R Johnson; JoAnn E Manson
Journal:  J Womens Health (Larchmt)       Date:  2009-12       Impact factor: 2.681

8.  [Secondary Data Analysis on the Factors Influencing Premenstrual Symptoms of Shift Work Nurses: Focused on the Sleep and Occupational Stress].

Authors:  Jihyun Baek; Smi Choi-Kwon
Journal:  J Korean Acad Nurs       Date:  2020-08       Impact factor: 0.984

9.  The interrelation between premenstrual syndrome and major depression: results from a population-based sample.

Authors:  Christine Forrester-Knauss; Elisabeth Zemp Stutz; Carine Weiss; Sibil Tschudin
Journal:  BMC Public Health       Date:  2011-10-12       Impact factor: 3.295

10.  Work stress, premenstrual syndrome and dysphoric disorder: are there any associations?

Authors:  B Namavar Jahromi; S Pakmehr; H Hagh-Shenas
Journal:  Iran Red Crescent Med J       Date:  2011-03-01       Impact factor: 0.611

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