The use of modeling to increase independent behavior

Three experiments were conducted aimed at increasing independence via use of modeling procedures in, respectively, two samples of neurotic outpatients and a sample of psychiatric inpatients. Significant gains in independence emerged in all three investigations. Subsidiary findings are reported regarding the operation in clinical contexts of ‘modeling-enhancers’ of demonstrated effectiveness in laboratory settings.     

Perceptions of the family, delinquency, and emotional adjustment among youth

This study explored the relationships between perceived family processes (parental bonding and parental discipline styles) and adolescent emotional and behavioural adjustment among a sample of youth. Respondents were 92 (53 female, 39 male) high school students, aged 13–17 years. Significant sex differences were noted regarding levels of self-reported delinquency and parental induction style. After controlling for sex, perceptions of low care and love withdrawal were significantly related to delinquency, while low care, overprotectiveness and love withdrawal were found to be related to poor well being. Structural equation modelling was used to further assess the relationships between perceptions of family life and the outcome variables. It was concluded that adolescent perceptions of family processes form a coherent and integrated network with implications for behavioural and emotional adjustment.     

Internal health locus of control predicts willingness to track health behaviors online and with smartphone applications

Given rising technology use across all demographic groups, digital interventions offer a potential strategy for increasing access to health information and care. Research is lacking on identifying individual differences that impact willingness to use digital interventions, which may affect patient engagement. Health locus of control, the amount of control an individual believes they have over their own health, may predict willingness to use mobile health (mHealth) applications (‘apps’) and online trackers. A cross-sectional study (n = 276) was conducted to assess college students’ health locus of control beliefs and willingness to use health apps and online trackers. Internal and powerful other health locus of control beliefs predicted willingness to use health apps and online trackers while chance health locus of control beliefs did not. Individuals with internal and powerful other health locus of control beliefs are more willing than those with chance health locus of control beliefs to utilize a form of technology to monitor or change health behaviors. Health locus of control is an easy-to-assess patient characteristic providers can measure to identify which patients are more likely to utilize mHealth apps and online trackers.