Bondemercer9230

Feeling younger than one's chronological age is associated with various beneficial health outcomes. However, apart from these direct health effects, little is known about the role of subjective age as a potential "buffer" and compensatory resource that might counteract the detrimental effect of health risk factors. We investigated whether the effect of perceived stress as a major health risk factor on change in functional health is smaller among individuals who feel younger. Additionally, we analyzed whether this "stress buffer effect" of subjective age varies by chronological age. selleck chemicals llc Longitudinal data from the German Ageing Survey comprising 3 years (2014-2017) were used (N = 5,039; mean age at baseline M = 63.91 years, SD = 10.80 years, range 40-95 years). Latent change score models revealed that, controlling for baseline functional health as well as for sociodemographic variables, greater perceived stress was associated with a steeper decline in functional health. This effect increased in size with advancing chronological age. Moreover, a younger subjective age was associated with a less steep decline in functional health. Subjective age additionally exhibited a stress buffer effect Among individuals who felt younger, the association of greater perceived stress with steeper functional health decline was weaker. This stress buffer effect of subjective age became larger with increasing age. Our findings thus suggest that, particularly among older adults, a younger subjective age might help to buffer functional health decline, not only by directly affecting functional health, but also by compensating and counteracting the detrimental effect of stress on functional health. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

To compare the effectiveness of different models of permanent supportive housing (PSH), housing configuration, and service provision model on substance use, depression, and anxiety symptoms among residents over time.

Linear mixed model regression was used with 888 residents of PSH to investigate the relationship between supportive housing type, service model, and housing configuration and change in mental health and substance use at baseline, 6-, 12-, and 18-month follow-up.

There were few significant differences in problematic substance use, depression, or anxiety symptoms among those in different PSH types, different housing configuration models, or different service provision models. Similarly, there were no significant differences in PSH type, housing configuration, or service delivery model among those with severe mental illness (SMI), substance use disorder (SUD), or those with dual diagnoses.

There is little evidence that different models of PSH result in differences in mental health and substance use outcomes. Future research should consider the number of services clients receive and critical periods in PSH residency in improving mental health and substance use outcomes. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

There is little evidence that different models of PSH result in differences in mental health and substance use outcomes. Future research should consider the number of services clients receive and critical periods in PSH residency in improving mental health and substance use outcomes. (PsycInfo Database Record (c) 2021 APA, all rights reserved).Reports an error in "Interpersonal Regulation Questionnaire (IRQ) Psychometric properties and gender differences in Chinese young adolescents" by Ruyi Ding, Wei He, Jin Liu, Tuo Liu, Dan Zhang and Shiguang Ni (Psychological Assessment, Advanced Online Publication, Mar 18, 2021, np). In the article "Interpersonal Regulation Questionnaire (IRQ) Psychometric Properties and Gender Differences in Chinese Young Adolescents," by Ruyi Ding, Wei He, Jin Liu, Tuo Liu, Dan Zhang, and Shiguang Ni (Psychological Assessment, 2021, Vol. 33, No. 4, pp. e13-e28, https//doi.org/10.1037/ pas0000997), the following funding information was missing from the author note "This study was funded by the Shenzhen Humanities & Social Sciences Key Research Bases, Tsinghua SIGS Overseas Research Cooperation Foundation (Grant No. HW2020004), National Philosophy and Social Sciences Foundation of China (Grant No. 20AZD085) and the Guangdong Natural Science Foundation (Grant No. 2020A1515010949)." All versions of this article have been correctconfigural, metric, and scalar) was achieved between males and females. In addition, latent mean comparison showed that females reported higher negative-efficacy and positive-tendency than males, while no gender variations were found for the remaining two factors. The validity of the IRQ was further supported by its convergent-discriminant associations with emotional well-being and distress, emotional expressivity, social competence, empathic responding, cognitive reappraisal, and delinquent behavior. Taken together, the IRQ is a reliable and valid measure for Chinese young adolescents' intrinsic interpersonal emotion regulation. (PsycInfo Database Record (c) 2021 APA, all rights reserved).Objective Risky drinking remains high among young adults and is associated with negative health-related consequences. Brief interventions (BIs) are an evidence-based practice for risky drinking that are particularly well suited for young adults. However, the widespread implementation of BIs remains challenging. This article highlights guiding principles for researchers and clinicians seeking to implement BI for young adults. Method Five guiding principles for the implementation of BIs for young adults with risky drinking are introduced as follows (a) selecting an implementation model; (b) considering contextual factors; (c) specifying an implementation strategy; (d) assessing implementation outcomes; and (e) embracing hybrid effectiveness-implementation designs. Advancing health equity is considered a key crosscutting theme. Results Multiple implementation models are discussed including process models, determinant frameworks, classic theories, implementation theories, and evaluation frameworks. Contextual fac

The current study examines how general racial discrimination, discrimination from family, and racial identity invalidation impact Multiracial1 people's mental health.

Multiracial participants (n = 464) completed online surveys that assessed their mental health and experiences of various dimensions of discrimination.

At the bivariate level, all dimensions of discrimination related to negative mental health outcomes. Results of path analysis with discrimination dimensions entered simultaneously as predictor variables indicated that discrimination from family, behavioral invalidation, and phenotype invalidation predicted maladjustment, whereas general racial discrimination did not. Latent classes were constructed to represent various profiles of discriminatory experiences. Low discrimination (n = 212), high discrimination (n = 49), racial identity invalidation (n = 154), and general-familial discrimination (n = 58) classes arose. The low discrimination class reported the best mental health outcomes, whereas the high discrimination class reported the worst mental health outcomes; the racial identity invalidation and general-familial discrimination classes reported similar mental health outcomes that fell in between the low and high discrimination classes.