TY - JOUR
T1 - Trait-based assessment of borderline personality disorder using the NEO five-factor inventory
T2 - Phenotypic and genetic support
AU - Few, Lauren R.
AU - Grant, Julia D.
AU - Trull, Timothy J.
AU - Oltmanns, Thomas F.
AU - Lynskey, Michael T.
AU - Miller, Joshua D.
AU - Maples, Jessica
AU - Nelson, Elliot C.
AU - Martin, Nicholas G.
AU - Agrawal, Arpana
N1 - Funding Information:
Funding for this project was provided by the Indian Health Service (Grant HHSI242200400049C). Support for manuscript preparation derived from the National Institute on Aging (Grant 5 P30 AG015292-14), the National Institute of Diabetes and Digestive and Kidney Diseases (Grant 1 P30 DK092923), and the National Institute for Minority Health and Health Disparities (Grant 5 P60 MD000507). The opinions expressed in this articles are those of the authors and do not necessarily reflect the views of the Indian Health Service or the Department of Health and Human Services. We express our gratitude to the Indian Health Service as well as tribal and urban Indian health programs and participants involved in the Special Diabetes Program for Indians?Healthy Heart Demonstration Project: Absentee Shawnee Tribe of Oklahoma; Albuquerque Service Unit; Bad River Band of Lake Superior Chippewa; Blackfeet Tribe; Choctaw Nation of Oklahoma; Confederated Salish and Kootenai Tribes; Montana/ Wyoming Tribal Consortium with Assiniboine & Gros-Ventre, Chippewa Cree Tribe, and Crow Nation; Hualapai Tribe; Indian Health Care Resource Center of Tulsa, Inc. in consortium with Northeastern Tribal Health System Miami Service Unit; Indian Health Council, Inc.; Leech Lake Reservation Tribal Council; Mille Lacs Band of Ojibwe in consortium with St. Croix Chippewa Indians of Wisconsin; Muscogee Creek Nation Health System; Navajo Area Indian Health Service with Northern Navajo Medical Center and Inscription House Clinic; Northwest Washington Indian Health Board with Lummi Indian Nation, Nooksack Tribe of Indians, Swinomish Tribal Community, and Upper Skagit Indian Tribe; Ramah Navajo School Board, Inc.; Redding Rancheria Indian Health Clinic; Hoopa Valley Tribe; Riverside-San Bernardino County Indian Health, Inc.; Santo Domingo Tribe; Sault Ste. Marie Tribe Chippewa; Seattle Indian Health Board; St. Regis Mohawk Health Services; Taos-Picuris Service Unit; Tohono O?Odham Healthy Heart Project; Toiyabe Indian Health Project, Inc.; Uintah & Ouray IHS Clinic; Wagner Health Care Center IHS; Whiteriver IHS Service Unit; Yakama Indian Health Center-IHS/DHHS; Yukon- Kuskokwim Health Corporation.
Funding Information:
Funding for this project was provided by the Indian Health Service (Grant HHSI242200400049C). Support for manuscript preparation derived from the National Institute on Aging (Grant 5 P30 AG015292-14), the National Institute of Diabetes and Digestive and Kidney Diseases (Grant 1 P30 DK092923), and the National Institute for Minority Health and Health Disparities (Grant 5 P60 MD000507). The opinions expressed in this articles are those of the authors and do not necessarily reflect the views of the Indian Health Service or the Department of Health and Human Services. We express our gratitude to the Indian Health Service as well as tribal and urban Indian health programs and participants involved in the Special Diabetes Program for Indians—Healthy Heart Demonstration Project: Absentee Shawnee Tribe of Oklahoma; Albuquerque Service Unit; Bad River Band of Lake Superior Chippewa; Blackfeet Tribe; Choctaw Nation of Oklahoma; Confederated Salish and Kootenai Tribes; Montana/ Wyoming Tribal Consortium with Assiniboine & Gros-Ventre, Chippewa Cree Tribe, and Crow Nation; Hualapai Tribe; Indian Health Care Resource Center of Tulsa, Inc. in consortium with Northeastern Tribal Health System Miami Service Unit; Indian Health Council, Inc.; Leech Lake Reservation Tribal Council; Mille Lacs Band of Ojibwe in consortium with St. Croix Chippewa Indians of Wisconsin; Muscogee Creek Nation Health System; Navajo Area Indian Health Service with Northern Navajo Medical Center and Inscription House Clinic; Northwest Washington Indian Health Board with Lummi Indian Nation, Nooksack Tribe of Indians, Swinomish Tribal Community, and Upper Skagit Indian Tribe; Ramah Navajo School Board, Inc.; Redding Rancheria Indian Health Clinic; Hoopa Valley Tribe; Riverside-San Bernardino County Indian Health, Inc.; Santo Domingo Tribe; Sault Ste. Marie Tribe Chippewa; Seattle Indian Health Board; St. Regis Mohawk Health Services; Taos-Picuris Service Unit; Tohono O’Odham Healthy Heart Project; Toiyabe Indian Health Project, Inc.; Uintah & Ouray IHS Clinic; Wagner Health Care Center IHS; Whiteriver IHS Service Unit; Yakama Indian Health Center-IHS/DHHS; Yukon- Kuskokwim Health Corporation.
Publisher Copyright:
© 2015 American Psychological Association.
PY - 2016/1/1
Y1 - 2016/1/1
N2 - The aim of the current study was to examine the reliability and validity of a trait-based assessment of borderline personality disorder (BPD) using the NEO Five-Factor Inventory. Correlations between the Five-Factor Inventory-BPD composite (FFI-BPD) and explicit measures of BPD were examined across 6 samples, including undergraduate, community, and clinical samples. The median correlation was .60, which was nearly identical to the correlation between measures of BPD and a BPD composite generated from the full Revised NEO Personality Inventory (i.e., NEO-BPD; r = .61). Correlations between FFI-BPD and relevant measures of psychiatric symptomatology and etiology (e.g., childhood abuse, drug use, depression, and personality disorders) were also examined and compared to those generated using explicit measures of BPD and NEO-BPD. As expected, the FFI-BPD composite correlated most strongly with measures associated with high levels of Neuroticism, such as depression, anxiety, and emotion dysregulation, and the pattern of correlations generated using the FFI-BPD was highly similar to those generated using explicit measures of BPD and NEO-BPD. Finally, genetic analyses estimated that FFI-BPD is 44% heritable, which is comparable to meta-analytic research examining genetics associated with BPD, and revealed that 71% of the genetic influences are shared between FFI-BPD and a self-report measure assessing BPD (Personality Assessment Inventory-Borderline subscale; Morey, 1991). Generally, these results support the use of FFI-BPD as a reasonable proxy for BPD, which has considerable implications, particularly for potential gene-finding efforts in large, epidemiological datasets that include the NEO FFI.
AB - The aim of the current study was to examine the reliability and validity of a trait-based assessment of borderline personality disorder (BPD) using the NEO Five-Factor Inventory. Correlations between the Five-Factor Inventory-BPD composite (FFI-BPD) and explicit measures of BPD were examined across 6 samples, including undergraduate, community, and clinical samples. The median correlation was .60, which was nearly identical to the correlation between measures of BPD and a BPD composite generated from the full Revised NEO Personality Inventory (i.e., NEO-BPD; r = .61). Correlations between FFI-BPD and relevant measures of psychiatric symptomatology and etiology (e.g., childhood abuse, drug use, depression, and personality disorders) were also examined and compared to those generated using explicit measures of BPD and NEO-BPD. As expected, the FFI-BPD composite correlated most strongly with measures associated with high levels of Neuroticism, such as depression, anxiety, and emotion dysregulation, and the pattern of correlations generated using the FFI-BPD was highly similar to those generated using explicit measures of BPD and NEO-BPD. Finally, genetic analyses estimated that FFI-BPD is 44% heritable, which is comparable to meta-analytic research examining genetics associated with BPD, and revealed that 71% of the genetic influences are shared between FFI-BPD and a self-report measure assessing BPD (Personality Assessment Inventory-Borderline subscale; Morey, 1991). Generally, these results support the use of FFI-BPD as a reasonable proxy for BPD, which has considerable implications, particularly for potential gene-finding efforts in large, epidemiological datasets that include the NEO FFI.
KW - 5-factor model
KW - Borderline personality disorder
KW - Genetics
UR - http://www.scopus.com/inward/record.url?scp=84954395201&partnerID=8YFLogxK
U2 - 10.1037/pas0000142
DO - 10.1037/pas0000142
M3 - Article
C2 - 25984635
AN - SCOPUS:84954395201
VL - 28
SP - 39
EP - 50
JO - Psychological Assessment
JF - Psychological Assessment
SN - 1040-3590
IS - 1
ER -