Social Psychology Commons^™

Testing The Tripartite Influence Model Among Heterosexual, Bisexual, And Lesbian Women, Vivienne M. Hazzard, Lauren M. Schaefer, Katherine Schaumberg, Anna M. Bardone-Cone, David A. Frederick, Kelly L. Klump, Drew A. Anderson, J. Kevin Thompson

Psychology Faculty Articles and Research

This cross-sectional study explored similarities and differences between heterosexual, bisexual, and lesbian women in levels of, and relationships between, the following constructs using a Tripartite Influence Model framework: family, peer, and media appearance pressures, thin- and muscular-ideal internalization, and eating disorder (ED) pathology. Self-identified heterosexual (n = 1,528), bisexual (n = 89), and lesbian (n = 278) undergraduate women completed the Sociocultural Attitudes Towards Appearance Questionnaire-4 and the Eating Disorder Examination-Questionnaire. Sexual orientation differences in appearance pressures, appearance-ideal internalization, and ED pathology were examined via analysis of variance tests. Relationships between these variables were examined with multi-group …

Identifying Depression In The National Health And Nutrition Examination Survey Data Using A Deep Learning Algorithm, Jihoon Oh, Kyongsik Yun, Uri Maoz, Tae-Suk Kim, Jeong-Ho Chae

Psychology Faculty Articles and Research

Background

As depression is the leading cause of disability worldwide, large-scale surveys have been conducted to establish the occurrence and risk factors of depression. However, accurately estimating epidemiological factors leading up to depression has remained challenging. Deep-learning algorithms can be applied to assess the factors leading up to prevalence and clinical manifestations of depression.

Methods

Customized deep-neural-network and machine-learning classifiers were assessed using survey data from 19,725 participants from the NHANES database (from 1999 through 2014) and 4949 from the South Korea NHANES (K-NHANES) database in 2014.

Results

A deep-learning algorithm showed area under the receiver operating characteristic curve (AUCs) …

Sexuality Through The Lens Of Secure Base Attachment Dynamics: Individual Differences In Sexploration, Dylan Selterman, Amanda N. Gesselman, Amy C. Moors

Psychology Faculty Articles and Research

A key aspect of attachment functioning is the secure base, which empowers people to explore their environments, though some individuals do this more effectively than others. While most researchers have focused on adult attachment dynamics in terms of stress and threat (safe haven), we argue that concerted attention should also focus on relational processes in times of optimal functioning. In this paper, we introduce a new theoretical concept: secure base sexual exploration (or sexploration). We define this as the degree to which individuals are able to effectively explore multifaceted dimensions of sexuality (e.g., behaviors, identity) as a function …

Multiple Loves: The Effects Of Attachment With Multiple Concurrent Romantic Partners On Relational Functioning, Amy C. Moors, William Ryan, William J. Chopik

Psychology Faculty Articles and Research

In the present study, we sought to understand whether people in polyamorous relationships have similar attachment orientations with each of their partners. Further, we examined the extent to which the attachment relationship with a given partner affects relationship quality both within that relationship and across concurrent romantic relationships. We recruited a community sample of 357 people engaged in polyamory with at least two concurrent romantic partners. People engaged in polyamory exhibited secure attachment with both of their partners (low in avoidance and anxiety); specifically, these scores were lower than established norms. In terms of within-relationship effects, avoidance and anxiety with …

Development Of The State Optimism Measure, Rachel A. Millstein, Wei-Jean Chung, Bettina B. Hoeppner, Julia K. Boehm, Sean R. Legler, Carol A. Mastromauro, Jeff C. Huffman

Psychology Faculty Articles and Research

Background

Optimism, or positive expectations about the future, is associated with better health. It is commonly assessed as a trait, but it may change over time and circumstance. Accordingly, we developed a measure of state optimism.

Methods

An initial 29-item pool was generated based on literature reviews and expert consultations. It was administered to three samples: sample 1 was a general healthy population (n = 136), sample 2 was people with cardiac disease (n = 96), and sample 3 was persons recovering from problematic substance use (n = 265). Exploratory factor analysis and item-level descriptive statistics were used to select …