Bin Zhang1, Yun-Kwok Wing. 1. Department ofPsychiatry, Shatin Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, Peoples Republic China.
Abstract
STUDY OBJECTIVE: Most but not all epidemiologic evidence suggests a female predisposition of insomnia. We applied meta-analytic methods to investigate sex differences in the risk of insomnia among the published epidemiologic studies. DESIGN: Meta-analysis with Comprehensive Meta-Analysis (Englewood, NJ); 9 different analyses were performed to investigate the sex difference of insomnia among different conditions. SETTING: A comprehensive search of the medical literature databases was performed to identify epidemiologic studies of insomnia. A rolling snowball method was also used. PARTICIPANTS: General population. INTERVENTIONS: N/A. RESULT: Thirty-one related papers were found, but 2 studies only reported the subtype prevalence of insomnia. All other studies (1,265,015 participants, female/male: 718,828/546,187) were included in the overall analysis of insomnia. A risk ratio of 1.41 [95% confidence interval: 1.28-1.55] for female versus male was found. The female excess in the risk of insomnia in large and quality studies was much higher than that of small and nonquality studies. The trend of female predisposition was consistent and progressive across age, with more significance in the elderly. The use of various criteria and frequency and duration of insomnia did not influence the predisposition of female in the risk of developing insomnia. Although obvious female excess in the risk of insomnia exists among different regions, there was a relatively lower female excess in East Asia. CONCLUSION: This meta-analysis confirmed a female predisposition of insomnia. Further studies will be needed to examine the roles of different factors in leading to the sex difference of insomnia.
STUDY OBJECTIVE: Most but not all epidemiologic evidence suggests a female predisposition of insomnia. We applied meta-analytic methods to investigate sex differences in the risk of insomnia among the published epidemiologic studies. DESIGN: Meta-analysis with Comprehensive Meta-Analysis (Englewood, NJ); 9 different analyses were performed to investigate the sex difference of insomnia among different conditions. SETTING: A comprehensive search of the medical literature databases was performed to identify epidemiologic studies of insomnia. A rolling snowball method was also used. PARTICIPANTS: General population. INTERVENTIONS: N/A. RESULT: Thirty-one related papers were found, but 2 studies only reported the subtype prevalence of insomnia. All other studies (1,265,015 participants, female/male: 718,828/546,187) were included in the overall analysis of insomnia. A risk ratio of 1.41 [95% confidence interval: 1.28-1.55] for female versus male was found. The female excess in the risk of insomnia in large and quality studies was much higher than that of small and nonquality studies. The trend of female predisposition was consistent and progressive across age, with more significance in the elderly. The use of various criteria and frequency and duration of insomnia did not influence the predisposition of female in the risk of developing insomnia. Although obvious female excess in the risk of insomnia exists among different regions, there was a relatively lower female excess in East Asia. CONCLUSION: This meta-analysis confirmed a female predisposition of insomnia. Further studies will be needed to examine the roles of different factors in leading to the sex difference of insomnia.
Authors: Jessica A Mong; Fiona C Baker; Megan M Mahoney; Ketema N Paul; Michael D Schwartz; Kazue Semba; Rae Silver Journal: J Neurosci Date: 2011-11-09 Impact factor: 6.167
Authors: Megan E Petrov; Burel R Goodin; Yenisel Cruz-Almeida; Chris King; Toni L Glover; Hailey W Bulls; Matthew Herbert; Kimberly T Sibille; Emily J Bartley; Barri J Fessler; Adriana Sotolongo; Roland Staud; David Redden; Roger B Fillingim; Laurence A Bradley Journal: J Pain Date: 2015-02-25 Impact factor: 5.820
Authors: W Joseph Herring; Kathryn M Connor; Ellen Snyder; Duane B Snavely; Ying Zhang; Jill Hutzelmann; Deborah Matzura-Wolfe; Ruth M Benca; Andrew D Krystal; James K Walsh; Christopher Lines; Thomas Roth; David Michelson Journal: Psychopharmacology (Berl) Date: 2017-03-07 Impact factor: 4.530