OBJECTIVES: The present study developed normative data for the expanded version of the Inventory of Depression and Anxiety Symptoms (IDAS-II). The IDAS-II is a self-report measure containing 18 factor-analytically derived scales, each assessing a specific symptom of internalizing disorders, including depression, anxiety disorders, OCD, bipolar disorder, and PTSD. These normative data were used to examine group differences in internalizing symptoms across demographic characteristics. METHOD: A total of 1,836 Mechanical Turk users (47.6% male; mean age = 35.6) completed the IDAS-II; the sample was weighted to be representative of the U.S. population on gender, age, and race/ethnicity. RESULTS: Percentiles were derived for each of the IDAS-II scales. Age was the demographic characteristic most consistently associated with lower internalizing symptoms. CONCLUSIONS: The present study provides information on the distribution of specific internalizing symptoms in a large national sample, as well as on how these symptoms are related to demographic characteristics.
OBJECTIVES: The present study developed normative data for the expanded version of the Inventory of Depression and Anxiety Symptoms (IDAS-II). The IDAS-II is a self-report measure containing 18 factor-analytically derived scales, each assessing a specific symptom of internalizing disorders, including depression, anxiety disorders, OCD, bipolar disorder, and PTSD. These normative data were used to examine group differences in internalizing symptoms across demographic characteristics. METHOD: A total of 1,836 Mechanical Turk users (47.6% male; mean age = 35.6) completed the IDAS-II; the sample was weighted to be representative of the U.S. population on gender, age, and race/ethnicity. RESULTS: Percentiles were derived for each of the IDAS-II scales. Age was the demographic characteristic most consistently associated with lower internalizing symptoms. CONCLUSIONS: The present study provides information on the distribution of specific internalizing symptoms in a large national sample, as well as on how these symptoms are related to demographic characteristics.
Authors: Juyoen Hur; Kathryn A DeYoung; Samiha Islam; Allegra S Anderson; Matthew G Barstead; Alexander J Shackman Journal: Psychol Med Date: 2019-08-19 Impact factor: 7.723
Authors: Elizabeth A Bartlett; Daniel N Klein; Kaiqiao Li; Christine DeLorenzo; Roman Kotov; Greg Perlman Journal: Biol Psychiatry Date: 2019-05-07 Impact factor: 13.382
Authors: Carter J Funkhouser; Ariela J E Kaiser; Kira L Alqueza; Vivian L Carrillo; Lija M K Hoffman; Carver B Nabb; Randy P Auerbach; Stewart A Shankman Journal: J Psychiatr Res Date: 2021-01-07 Impact factor: 4.791