OBJECTIVES: The objectives of this study are to provide current estimates of the prevalence and correlates of generalized anxiety disorder (GAD). METHODS: The authors used Wave 2 data from the National Epidemiologic Survey on Alcohol and Related Conditions, which included 12,312 adults 55+ and older. In addition to examining the prevalence of GAD in the past year, this study explored psychiatric and medical comorbidity, health-related quality of life, and rates of help-seeking and self-medication. RESULTS: The past-year prevalence of GAD in this sample was 2.80%, although only 0.53% had GAD without Axis I or II comorbidity. The majority of individuals with GAD had mood or other anxiety disorders, and approximately one quarter had a personality disorder. Individuals with GAD were also more likely to have various chronic health problems although these associations disappeared after controlling for psychiatric comorbidity. Health-related quality of life was reduced among older adults with GAD, even after controlling for health conditions and comorbid major depression. Finally, only 18% of those without and 28.3% with comorbid Axis I disorders sought professional help for GAD in the past year. Self-medication for symptom relief was rare (7.2%). CONCLUSIONS: GAD is a common and disabling disorder in later life that is highly comorbid with mood, anxiety, and personality disorders; psychiatric comorbidity is associated with an increased risk of medical conditions in this population. Considering that late-life GAD is associated with impaired quality of life but low levels of professional help-seeking increased effort is needed to help individuals with this disorder to access effective treatments.
OBJECTIVES: The objectives of this study are to provide current estimates of the prevalence and correlates of generalized anxiety disorder (GAD). METHODS: The authors used Wave 2 data from the National Epidemiologic Survey on Alcohol and Related Conditions, which included 12,312 adults 55+ and older. In addition to examining the prevalence of GAD in the past year, this study explored psychiatric and medical comorbidity, health-related quality of life, and rates of help-seeking and self-medication. RESULTS: The past-year prevalence of GAD in this sample was 2.80%, although only 0.53% had GAD without Axis I or II comorbidity. The majority of individuals with GAD had mood or other anxiety disorders, and approximately one quarter had a personality disorder. Individuals with GAD were also more likely to have various chronic health problems although these associations disappeared after controlling for psychiatric comorbidity. Health-related quality of life was reduced among older adults with GAD, even after controlling for health conditions and comorbid major depression. Finally, only 18% of those without and 28.3% with comorbid Axis I disorders sought professional help for GAD in the past year. Self-medication for symptom relief was rare (7.2%). CONCLUSIONS: GAD is a common and disabling disorder in later life that is highly comorbid with mood, anxiety, and personality disorders; psychiatric comorbidity is associated with an increased risk of medical conditions in this population. Considering that late-life GAD is associated with impaired quality of life but low levels of professional help-seeking increased effort is needed to help individuals with this disorder to access effective treatments.
Authors: Martin A Katzman; Pierre Bleau; Pierre Blier; Pratap Chokka; Kevin Kjernisted; Michael Van Ameringen; Martin M Antony; Stéphane Bouchard; Alain Brunet; Martine Flament; Sophie Grigoriadis; Sandra Mendlowitz; Kieron O'Connor; Kiran Rabheru; Peggy M A Richter; Melisa Robichaud; John R Walker Journal: BMC Psychiatry Date: 2014-07-02 Impact factor: 3.630
Authors: Gretchen A Brenes; Suzanne C Danhauer; Mary F Lyles; Andrea Anderson; Michael E Miller Journal: Am J Geriatr Psychiatry Date: 2016-04-15 Impact factor: 4.105
Authors: Jillybeth Burgado; Constance S Harrell; Darrell Eacret; Renuka Reddy; Christopher J Barnum; Malú G Tansey; Andrew H Miller; Huichen Wang; Gretchen N Neigh Journal: Behav Brain Res Date: 2014-09-06 Impact factor: 3.332