OBJECTIVE: To examine the prevalence of depression and anxiety in the United States by state and MMSA. METHOD: The 2006 Behavioral Risk Factor Surveillance System collected depression and anxiety data on 74 metropolitan and micropolitan statistical areas (MMSAs) and 41 states/territories (n = 217,379). RESULTS: The national prevalence of current depression, lifetime diagnosis of depression, and lifetime diagnosis of anxiety is 8.7 %, 15.7 %, and 11.3 %, respectively. There is considerable variability within and across states for all three measures. The most striking within-state difference in current depression between MMSAs is in California: 5.4 % and 11.3 %. CONCLUSION: This variation in mental health at the state and MMSA levels calls for development and implementation of local programs.
OBJECTIVE: To examine the prevalence of depression and anxiety in the United States by state and MMSA. METHOD: The 2006 Behavioral Risk Factor Surveillance System collected depression and anxiety data on 74 metropolitan and micropolitan statistical areas (MMSAs) and 41 states/territories (n = 217,379). RESULTS: The national prevalence of current depression, lifetime diagnosis of depression, and lifetime diagnosis of anxiety is 8.7 %, 15.7 %, and 11.3 %, respectively. There is considerable variability within and across states for all three measures. The most striking within-state difference in current depression between MMSAs is in California: 5.4 % and 11.3 %. CONCLUSION: This variation in mental health at the state and MMSA levels calls for development and implementation of local programs.
Authors: Jeroen J Nieuwenhuis; Jan de Waal Malefijt; Jan C M Hendriks; Taco Gosens; Michel Bonnet Journal: Acta Orthop Belg Date: 2005-06 Impact factor: 0.500
Authors: Alexander Siegmeth; Clive P Duncan; Bassam A Masri; Winston Y Kim; Donald S Garbuz Journal: Clin Orthop Relat Res Date: 2008-10-16 Impact factor: 4.176
Authors: Robyn M Emanuel; Sandra L Frellsen; Kathleen J Kashima; Sandra M Sanguino; Frederick S Sierles; Cathy J Lazarus Journal: J Gen Intern Med Date: 2013-08 Impact factor: 5.128
Authors: Krista L Huot; May Nawal Lutfiyya; Michael F Akers; Maria L Amaro; Michael T Swanoski; Sarah K Schweiss Journal: BMC Health Serv Res Date: 2013-05-01 Impact factor: 2.655