The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Epidemiology of Premenstrual Syndrome, A Systematic Review and Meta-Analysis Study
Open accessAbstract
BACKGROUND AND OBJECTIVES: Premenstrual Syndrome (PMS) is a common health problem in women in reproductive age. The present study aimed to investigate the prevalence of PMS using meta-analysis method. METHODS: This meta-analysis systematically reviewed the prevalence of PMS. A search was conducted using keywords Premenstrual Syndrome, PMS, prevalence PMS and symptom of PMS in reliable English articles. The initial search 53 articles were available. After review of full-text articles, 17 articles were selected for analysis. Data were combined using meta-analysis (random effects model). Data were analyzed using STATA software, Version 11.1 RESULTS: Overall, 17 studies met our inclusion criteria. The pooled prevalence of PMS was 47.8% (95% CI: 32.6-62.9). The lowest and highest prevalence were reported in France 12% (95% CI: 11-13) and Iran 98% (95% CI: 97-100) respectively. However, meta-regression scatter plot showed an increasing trend in the prevalence of PMS during 1996-2011 but correlation between prevalence of PMS and year of study was not significance (p= 0.797). INTERPRETATION AND CONCLUSIONS: Considering that different tools have been used in studies and many studies have been designed based on a limited sample, therefore, future research needs to consider the prevalence of PMS in different countries of world.
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Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & for the PRISMA Group (2009) · BMJ · doi:10.1136/bmj.b2535 · Cited by 83,823
Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & the PRISMA Group* (2009) · Annals of Internal Medicine · doi:10.7326/0003-4819-151-4-200908180-00135 · Cited by 37,554
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement
Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2009) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2009.06.005 · Cited by 19,575
Australian Journal of Advanced Nursing
(2020) · Australian journal of advanced nursing · doi:10.37464/2020 · Cited by 1,596
Greene, R., & Dalton, K. (1953) · BMJ · doi:10.1136/bmj.1.4818.1007 · Cited by 314
HYLAN, T. R., SUNDELL, K., & JUDGE, R. (1999) · Journal of Women's Health & Gender-Based Medicine · doi:10.1089/jwh.1.1999.8.1043 · Cited by 194
Tschudin, S., Bertea, P. C., & Zemp, E. (2010) · Archives of Women's Mental Health · doi:10.1007/s00737-010-0165-3 · Cited by 192
Dickerson, L. M., Mazyck, P. J., & Hunter, M. H. (2003) · PubMed · Cited by 172
SAYEGH, R. (1995) · Obstetrics & Gynecology · doi:10.1016/0029-7844(95)00246-n · Cited by 163
Premenstrual Syndrome and Premenstrual Dysphoric Disorder
Biggs, W. S., & Demuth, R. H. (2019) · Springer Publishing Company eBooks · doi:10.1891/9780826159311.0143 · Cited by 153
Cited by
Associations between sex hormones, sleep problems and depression: A systematic review
Morssinkhof, M. W. L., van Wylick, D. W., Priester-Vink, S., van der Werf, Y. D., den Heijer, M., van den Heuvel, O. A., & Broekman, B. F. P. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.08.006 · Cited by 257
Metadata
- Authors
- Sattar, K.
- Venue
- JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH
- Publisher
- JCDR Research and Publications
- Published
- 2014
- Volume
- 8
- Issue
- 2
- Pages
- 106-9
- ISSN
- 0973-709X (ISSN-L)
- 2249-782X
- OpenAlex
- W147975212
- Cited by
- 278
- References
- 28
- FWCI
- 1.42
- Type
- journal article
- Language
- en
- Open access
- gold
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