Benjamin Langsæter Uhlig1, Trond Sand2, Siv Steinsmo Odegård3, Knut Hagen4. 1. Department of Clinical Neurosciences, Norwegian University of Science and Technology, N-7489 Trondheim, Norway; Department of Neurology and Clinical Neurophysiology, St Olav's Hospital, N-7006 Trondheim, Norway. Electronic address: uhlig@stud.ntnu.no. 2. Department of Clinical Neurosciences, Norwegian University of Science and Technology, N-7489 Trondheim, Norway; Department of Neurology and Clinical Neurophysiology, St Olav's Hospital, N-7006 Trondheim, Norway. 3. Department of Clinical Neurosciences, Norwegian University of Science and Technology, N-7489 Trondheim, Norway. 4. Department of Clinical Neurosciences, Norwegian University of Science and Technology, N-7489 Trondheim, Norway; Norwegian National Headache Centre, St Olav's Hospital, N-7006 Trondheim, Norway.
Abstract
BACKGROUND: Many studies have assessed the prevalence of insomnia, but the influence of non-participants has largely been ignored. The objective of the present study was to estimate the prevalence and associated factors of insomnia in a large adult population using DSM-V (diagnostic and statistical manual of mental disorders, 5th ed.) criteria, also taking non-participants into account. METHODS: This cross-sectional study used data from a questionnaire in The Nord-Trøndelag Health Study (HUNT 3) performed in 2006-2008, and a subsequent non-participant study. The total adult population (n=93,860 aged > or =20 years) of Nord-Trøndelag County, Norway, was invited. Of these, 40,535 responded to the insomnia questionnaire. Among 42,024 eligible non-participants, 6918 (17%) responded to two insomnia questions. RESULTS: Insomnia was diagnosed by applying modified DSM-V criteria. The age-adjusted insomnia prevalence was estimated using the age distribution of all adult inhabitants of Nord-Trøndelag. Supplementary prevalence data were estimated by extrapolating data from the non-participant study. Additionally, the association between insomnia and self-reported health was estimated, adjusting for known confounders. The total age-adjusted prevalence of insomnia was 7.1% (95% confidence interval [CI], 6.9-7.4) (8.6% for women, 5.5% for men). Adjusting for non-participants, the prevalence estimate changed to 7.9% (95% CI, 7.3-8.6) (9.4% for women, 6.4% for men). Insomnia was more than eight times more likely (OR, 8.3; 95% CI, 6.2-11.1) among individuals with very poor versus very good self-reported health, adjusting for age, gender, employment status, chronic musculoskeletal complaints, anxiety and depression. CONCLUSIONS: The adjusted insomnia prevalence estimate in Nord-Trøndelag was 7.9%. Insomnia was strongly associated with poor self-reported health.
BACKGROUND: Many studies have assessed the prevalence of insomnia, but the influence of non-participants has largely been ignored. The objective of the present study was to estimate the prevalence and associated factors of insomnia in a large adult population using DSM-V (diagnostic and statistical manual of mental disorders, 5th ed.) criteria, also taking non-participants into account. METHODS: This cross-sectional study used data from a questionnaire in The Nord-Trøndelag Health Study (HUNT 3) performed in 2006-2008, and a subsequent non-participant study. The total adult population (n=93,860 aged > or =20 years) of Nord-Trøndelag County, Norway, was invited. Of these, 40,535 responded to the insomnia questionnaire. Among 42,024 eligible non-participants, 6918 (17%) responded to two insomnia questions. RESULTS:Insomnia was diagnosed by applying modified DSM-V criteria. The age-adjusted insomnia prevalence was estimated using the age distribution of all adult inhabitants of Nord-Trøndelag. Supplementary prevalence data were estimated by extrapolating data from the non-participant study. Additionally, the association between insomnia and self-reported health was estimated, adjusting for known confounders. The total age-adjusted prevalence of insomnia was 7.1% (95% confidence interval [CI], 6.9-7.4) (8.6% for women, 5.5% for men). Adjusting for non-participants, the prevalence estimate changed to 7.9% (95% CI, 7.3-8.6) (9.4% for women, 6.4% for men). Insomnia was more than eight times more likely (OR, 8.3; 95% CI, 6.2-11.1) among individuals with very poor versus very good self-reported health, adjusting for age, gender, employment status, chronic musculoskeletal complaints, anxiety and depression. CONCLUSIONS: The adjusted insomnia prevalence estimate in Nord-Trøndelag was 7.9%. Insomnia was strongly associated with poor self-reported health.
Authors: Megan R Crawford; Diana A Chirinos; Toni Iurcotta; Jack D Edinger; James K Wyatt; Rachel Manber; Jason C Ong Journal: J Clin Sleep Med Date: 2017-07-15 Impact factor: 4.062
Authors: Armand M Ryden; Jennifer L Martin; Sean Matsuwaka; Constance H Fung; Joseph M Dzierzewski; Yeonsu Song; Michael N Mitchell; Lavinia Fiorentino; Karen R Josephson; Stella Jouldjian; Cathy A Alessi Journal: J Clin Sleep Med Date: 2019-04-15 Impact factor: 4.062
Authors: Børge Sivertsen; Ståle Pallesen; Nick Glozier; Bjørn Bjorvatn; Paula Salo; Grethe S Tell; Reidun Ursin; Simon Øverland Journal: BMC Public Health Date: 2014-07-15 Impact factor: 3.295