Consideration of Future Consequences Influences Involvement in Romantic Partners' Health.

This study examined the influence of people's short-term (e.g., convenience) and long-term (e.

An examination of accuracy and bias in perceptions of a partner's motives for health behaviour regulation.

Objectives: This study assessed accuracy and bias in people's perceptions of their romantic partner's adoption of short-term (avoid conflict) and long-term (later health) motives for interpersonally regulating their health behaviours.

Design: A cross-sectional Web-based survey of 114 cohabiting romantic couples (N = 228 individuals) living in the United States.

Methods: Romantic partners separately completed measures of their short-term and long-term motives for self-regulation and partner regulation of health behaviours, as well as their perceptions of partner regulation of their own health behaviours.

Associations between social control, motivation, and exercise: How romantic partners influence exercise during young adulthood.

This study investigated whether positive and negative romantic partner social control attempts (persuasion and pressure, respectively) were related to approach-avoidance motives and exercise among young adults ( = 98), using daily reports. Daily persuasion was linked to higher daily approach motives. At the person level, persuasion was associated with higher approach and avoidance motives in addition to more frequent, longer exercise.

The Social Anxiety and Depression Life Interference-24 Inventory: Classical and modern psychometric evaluations.

Two instrument validation studies broadened the research literature exploring the factor structure, internal consistency reliability, and concurrent validity of scores on the Social Anxiety and Depression Life Interference-24 Inventory (SADLI-24; Osman, Bagge, Freedenthal, Guiterrez, & Emmerich, 2011). Study 1 (N = 1065) was undertaken to concurrently appraise three competing factor models for the instrument: a unidimensional model, a two-factor oblique model and a bifactor model. The bifactor model provided the best fit to the study sample data.