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Epidemiology of insomnia: what we know and what we still need to learn.
Sleep Med Rev 2002; 6(2):97-111SM

Abstract

Epidemiologists have published more than 50 studies of insomnia based on data collected in various representative community-dwelling samples or populations. These surveys provide estimates of the prevalence of insomnia according to four definitions: insomnia symptoms, insomnia symptoms with daytime consequences, sleep dissatisfaction and insomnia diagnoses. The first definition, based on insomnia criteria as defined by the DSM-IV, recognizes that about one-third of a general population presents at least one of them. The second definition shows that, when daytime consequences of insomnia are taken into account, the prevalence is between 9% and 15%. The third definition represents 8-18% of the general population. The last definition, more precise and corresponding to a decision-making diagnosis, sets the prevalence at 6% of insomnia diagnoses according to the DSM-IV classification. These four definitions of insomnia have higher prevalence rates in women than in men. The prevalence of insomnia symptoms generally increases with age, while the rates of sleep dissatisfaction and diagnoses have little variation with age. Numerous factors can initiate or maintain insomnia. Mental disorders and organic diseases are the factors that have been the most frequently studied. The association between insomnia and major depressive episodes has been constantly reported: individuals with insomnia are more likely to have a major depressive illness. Longitudinal studies have shown that the persistence of insomnia is associated with the appearance of a new depressive episode. Future epidemiological studies should focus on the natural evolution of insomnia. Epidemiological genetic links of insomnia are yet to be studied.

Authors+Show Affiliations

Sleep Disorders Center, Stanford University School of Medicine, Stanford, CA 94305, USA. mrcohayon@aol.com

Pub Type(s)

Journal Article

Language

eng

PubMed ID

12531146

Citation

Ohayon, Maurice M.. "Epidemiology of Insomnia: what We Know and what We Still Need to Learn." Sleep Medicine Reviews, vol. 6, no. 2, 2002, pp. 97-111.
Ohayon MM. Epidemiology of insomnia: what we know and what we still need to learn. Sleep Med Rev. 2002;6(2):97-111.
Ohayon, M. M. (2002). Epidemiology of insomnia: what we know and what we still need to learn. Sleep Medicine Reviews, 6(2), pp. 97-111.
Ohayon MM. Epidemiology of Insomnia: what We Know and what We Still Need to Learn. Sleep Med Rev. 2002;6(2):97-111. PubMed PMID: 12531146.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Epidemiology of insomnia: what we know and what we still need to learn. A1 - Ohayon,Maurice M, PY - 2003/1/18/pubmed PY - 2003/2/15/medline PY - 2003/1/18/entrez SP - 97 EP - 111 JF - Sleep medicine reviews JO - Sleep Med Rev VL - 6 IS - 2 N2 - Epidemiologists have published more than 50 studies of insomnia based on data collected in various representative community-dwelling samples or populations. These surveys provide estimates of the prevalence of insomnia according to four definitions: insomnia symptoms, insomnia symptoms with daytime consequences, sleep dissatisfaction and insomnia diagnoses. The first definition, based on insomnia criteria as defined by the DSM-IV, recognizes that about one-third of a general population presents at least one of them. The second definition shows that, when daytime consequences of insomnia are taken into account, the prevalence is between 9% and 15%. The third definition represents 8-18% of the general population. The last definition, more precise and corresponding to a decision-making diagnosis, sets the prevalence at 6% of insomnia diagnoses according to the DSM-IV classification. These four definitions of insomnia have higher prevalence rates in women than in men. The prevalence of insomnia symptoms generally increases with age, while the rates of sleep dissatisfaction and diagnoses have little variation with age. Numerous factors can initiate or maintain insomnia. Mental disorders and organic diseases are the factors that have been the most frequently studied. The association between insomnia and major depressive episodes has been constantly reported: individuals with insomnia are more likely to have a major depressive illness. Longitudinal studies have shown that the persistence of insomnia is associated with the appearance of a new depressive episode. Future epidemiological studies should focus on the natural evolution of insomnia. Epidemiological genetic links of insomnia are yet to be studied. SN - 1087-0792 UR - https://www.unboundmedicine.com/medline/citation/12531146/full_citation L2 - https://linkinghub.elsevier.com/retrieve/pii/S1087079202901863 DB - PRIME DP - Unbound Medicine ER -