Education and mental health: Do psychosocial resources matter?

Prevalence rates for mental health problems are higher when an individual's socioeconomic status (SES) is low, but the underlying mechanisms are not clearly understood. We investigated associations between education as indicator for SES and depressive symptoms as well as positive mental health (PMH). Moreover, we hypothesized that low education is associated with a lack of psychosocial resources and more daily hassles, which in turn mediate the relationships between education and mental health. In a German representative sample (N = 7937), we cross-sectionally first examined whether a person's educational level was associated with depressive symptoms and PMH. Educational level was defined as the highest academic qualification achieved. Second, we investigated whether also sense of control, resilience, delay of gratification, cultural activity and daily hassles followed gradients along the educational level. Third, we investigated whether they mediated the relationship between education and mental health. Results showed that depressive symptoms measured by items from the DASS-42 depression subscale were more prevalent for persons with a low educational level, PMH operationalized by the Positive Mental Health Scale was equally distributed, and all psychosocial characteristics followed the gradient of educational level. In addition, the group with a high school diploma was particularly burdened. Structural equation modeling indicated that the associations between education and mental health were mediated by all psychosocial characteristics and daily hassles, apart from the delay of gratification. In the group with the lowest educational level the model fit indices for depressive symptoms and PMH were acceptable (χ2 = 10007.243 (627), CFI = 0.869, RMSEA = 0.04 (90% CI [0.04, 0.04], SRMR = 0.05; and χ2 = 12779.968 (741), CFI = 0.86, RMSEA = 0.05 (90% CI [0.05, 0.05], SRMR = 0.05), respectively). The effect size Pm refers to the proportion of the total effect that is mediated by one or more variables (“M”), and the effect size of all indirect effects in the model for depressive symptoms was Pm = .80 and for PMH it was Pm = .68. The results support our hypotheses that low education is associated with less psychosocial resources, which in turn serve together with daily hassles as pathways between education and depressive symptoms as well as PMH. Building on these findings, longitudinal studies are necessary to investigate causality

Longitudinal Measurement Invariance of the Brief Symptom Inventory (BSI)-18 in Psychotherapy Patients

The Brief Symptom Inventory (BSI)-18 is a widely-used tool to assess changes in general distress in patients despite an ongoing debate about its factorial structure and lack of evidence for longitudinal measurement invariance (LMI). We investigated BSI-18 scores from 1,081 patients from an outpatient clinic collected after the 2nd, 6th, 10th, 18th, and 26th therapy session. Confirmatory factor analysis (CFA) was used to compare models comprising one, three, and four latent dimensions that were proposed in the literature. LMI was investigated using a series of model comparisons, based on chi-square tests, effect sizes, and changes in comparative fit index (CFI). Psychological distress diminished over the course of therapy. A four-factor structure (depression, somatic symptoms, generalized anxiety, and panic) showed the best fit to the data at all measurement occasions. The series of model comparisons showed that constraining parameters to be equal across time resulted in very small decreases in model fit that did not exceed the cutoff for the assumption of measurement in variance. Our results show that the BSI-18 is best conceptualized as a four-dimensional tool that exhibits strict longitudinal measurement invariance. Clinicians and applied researchers do not have to be concerned about the interpretation of mean differences over time

Lifestyle choices and mental health: a longitudinal survey with German and Chinese students

Abstract Background A healthy lifestyle can be beneficial for one’s mental health. Thus, identifying healthy lifestyle choices that promote psychological well-being and reduce mental problems is useful to prevent mental disorders. The aim of this longitudinal study was to evaluate the predictive values of a broad range of lifestyle choices for positive mental health (PMH) and mental health problems (MHP) in German and Chinese students. Method Data were assessed at baseline and at 1-year follow-up. Samples included 2991 German (M age = 21.69, SD = 4.07) and 12,405 Chinese (M age = 20.59, SD = 1.58) university students. Lifestyle choices were body mass index, frequency of physical and mental activities, frequency of alcohol consumption, smoking, vegetarian diet, and social rhythm irregularity. PMH and MHP were measured with the Positive Mental Health Scale and a 21-item version of the Depression Anxiety and Stress Scale. The predictive values of lifestyle choices for PMH and MHP at baseline and follow-up were assessed with single-group and multi-group path analyses. Results Better mental health (higher PMH and fewer MHP) at baseline was predicted by a lower body mass index, a higher frequency of physical and mental activities, non-smoking, a non-vegetarian diet, and a more regular social rhythm. When controlling for baseline mental health, age, and gender, physical activity was a positive predictor of PMH, smoking was a positive predictor of MHP, and a more irregular social rhythm was a positive predictor of PMH and a negative predictor of MHP at follow-up. The good fit of a multi-group model indicated that most lifestyle choices predict mental health comparably across samples. Some country-specific effects emerged: frequency of alcohol consumption, for example, predicted better mental health in German and poorer mental health in Chinese students. Conclusions Our findings underline the importance of healthy lifestyle choices for improved psychological well-being and fewer mental health difficulties. Effects of lifestyle on mental health are comparable in German and Chinese students. Some healthy lifestyle choices (i.e., more frequent physical activity, non-smoking, regular social rhythm) are related to improvements in mental health over a 1-year period

The effects of daily stress on positive and negative mental health: Mediation through self-efficacy

El estrés cotidiano, en comparación con acontecimientos traumáticos, es reconocidocada vez más como un importante factor de riesgo para la salud mental. El papel de laautoeficacia general en la relación entre estrés diario y aspectos de la salud mental todavíano se ha examinado. Teniendo en cuenta el modelo de dos factores, que postula que la saludmental es más que la ausencia de síntomas psicopatológicos, examinamos la mediación de la autoeficacia separadamente para la salud mental positiva y negativa. Efectos totales, directose indirectos fueron evaluados, utilizando datos de una muestra de la población alemana representativa(N = 1.031). La autoeficacia es un mediador de los efectos del estrés cotidiano, conefectos superiores para la salud mental positiva. Los resultados fueron replicados en muestrasde estudiantes de Alemania (N = 394), Rusia (N = 604) y China (N = 8.669). La autoeficacia actúacomo un búfer para el estrés cotidiano. Un modelo de mediación completo no fue apoyado conmúltiples recursos psicológicos que pueden tener efectos protectores. Es la primera evidenciatransnacional para diferentes efectos del búfer-estrés para las dos dimensiones de saludmental

Happiness, life satisfaction and positive mental health : Investigating reciprocal effects over four years in a Chinese student sample

Positive factors are increasingly recognized in the field of psychology, however, few studies have investigated the longitudinal measurement invariance (LMI) and reciprocal associations of positive core constructs, such as happiness, life satisfaction and positive mental health. This study evaluated the LMI of these constructs over four years in a Chinese Student Sample (n = 4400) using the Subjective Happiness Scale (SHS), the Satisfaction with Life Scale (SWLS) and the Positive Mental Health Scale (PMH-scale). The longitudinal reciprocal associations of the constructs were examined within a random intercept cross-lagged panel model (RI-CLPM). The results show that the SHS, SWLS and PMH-scale are measurement invariant over time and that the constructs are positively inter-related, but show different reciprocal patterns over time

Universal happiness? Cross-cultural measurement invariance of scales assessing positive mental health

Research into positive aspects of the psyche is growing as psychologists learn more about the protective role of positive processes in the development and course of mental disorders, and about their substantial role in promoting mental health. With increasing globalization, there is strong interest in studies examining positive constructs across cultures. To obtain valid cross-cultural comparisons, measurement invariance for the scales assessing positive constructs has to be established. The current study aims to assess the cross-cultural measurement invariance of questionnaires for 6 positive constructs: Social Support (Fydrich, Sommer, Tydecks, & Brähler, 2009), Happiness (Subjective Happiness Scale; Lyubomirsky & Lepper, 1999), Life Satisfaction (Diener, Emmons, Larsen, & Griffin, 1985), Positive Mental Health Scale (Lukat, Margraf, Lutz, van der Veld, & Becker, 2016), Optimism (revised Life Orientation Test [LOT-R]; Scheier, Carver, & Bridges, 1994) and Resilience (Schumacher, Leppert, Gunzelmann, Strauss, & Brähler, 2004). Participants included German (n = 4,453), Russian (n = 3,806), and Chinese (n = 12,524) university students. Confirmatory factor analyses and measurement invariance testing demonstrated at least partial strong measurement invariance for all scales except the LOT-R and Subjective Happiness Scale. The latent mean comparisons of the constructs indicated differences between national groups. Potential methodological and cultural explanations for the intergroup differences are discussed. (PsycINFO Database Record (c) 2019 APA, all rights reserved

The effects of daily stress on positive and negative mental health

Daily stressors, compared to traumatic events, are increasingly recognized as important risk factors for mental health. The role of general self-efficacy on the relationship between daily stress and aspects of mental health has not yet been examined. Taking into account the dual factor model of mental health, which postulates that mental health is more than the absence of psychopathological symptoms, we tested mediation effects of self-efficacy separately for positive and negative mental health. Total, direct and indirect effects were estimated using data from a large nationally representative German population sample ($\it N$ = 1,031) by bootstrapped mediation analyses providing 95% bias corrected bootstrap confidence intervals. Results indicated self-efficacy as a mediator of the effects of daily stressors on mental health, with superior effect sizes for positive compared to negative mental health. Mediation effects were replicated in student samples from Germany ($\it N$ = 394), Russia ($\it N$ = 604) and China ($\it N$ = 8,669). Findings suggest that self-efficacy operates as a buffer of daily stress. However, a full mediation model was not supported as multiple psychological resources can have protective effects. This study provides the first transnational evidence for different stress-buffer effects for the two dimensions of mental health.El estrés cotidiano, en comparación con acontecimientos traumáticos, es reconocido cada vez más como un importante factor de riesgo para la salud mental. El papel de la autoeficacia general en la relación entre estrés diario y aspectos de la salud mental todavía no se ha examinado. Teniendo en cuenta el modelo de dos factores, que postula que la salud mental es más que la ausencia de síntomas psicopatológicos, examinamos la mediación de la autoeficacia separadamente para la salud mental positiva y negativa. Efectos totales, directos e indirectos fueron evaluados, utilizando datos de una muestra de la población alemana representativa ($\it N$ = 1.031). La autoeficacia es un mediador de los efectos del estrés cotidiano, con efectos superiores para la salud mental positiva. Los resultados fueron replicados en muestras de estudiantes de Alemania ($\it N$ = 394), Rusia ($\it N$ = 604) y China ($\it N$ = 8.669). La autoeficacia actúa como un búfer para el estrés cotidiano. Un modelo de mediación completo no fue apoyado con múltiples recursos psicológicos que pueden tener efectos protectores. Es la primera evidencia transnacional para diferentes efectos del búfer-estrés para las dos dimensiones de salud mental

Lifestyle choices and mental health

$\bf Background:$ A healthy lifestyle can be beneficial for one’s mental health. Thus, identifying healthy lifestyle choices that promote psychological well-being and reduce mental problems is useful to prevent mental disorders. The aim of this longitudinal study was to evaluate the predictive values of a broad range of lifestyle choices for positive mental health (PMH) and mental health problems (MHP) in German and Chinese students. $\bf Method:$ Data were assessed at baseline and at 1-year follow-up. Samples included 2991 German ($M_{age}$ = 21.69, SD=4.07) and 12,405 Chinese (($M_{age}$=20.59, SD = 1.58) university students. Lifestyle choices were body mass index, frequency of physical and mental activities, frequency of alcohol consumption, smoking, vegetarian diet, and social rhythm irregularity. PMH and MHP were measured with the Positive Mental Health Scale and a 21-item version of the Depression Anxiety and Stress Scale. The predictive values of lifestyle choices for PMH and MHP at baseline and follow-up were assessed with single-group and multi-group path analyses. $\bf Results:$ Better mental health (higher PMH and fewer MHP) at baseline was predicted by a lower body mass index, a higher frequency of physical and mental activities, non-smoking, a non-vegetarian diet, and a more regular social rhythm. When controlling for baseline mental health, age, and gender, physical activity was a positive predictor of PMH, smoking was a positive predictor of MHP, and a more irregular social rhythm was a positive predictor of PMH and a negative predictor of MHP at follow-up. The good fit of a multi-group model indicated that most lifestyle choices predict mental health comparably across samples. Some country-specific effects emerged: frequency of alcohol consumption, for example, predicted better mental health in German and poorer mental health in Chinese students. $\bf Conclusions:$ Our findings underline the importance of healthy lifestyle choices for improved psychological well-being and fewer mental health difficulties. Effects of lifestyle on mental health are comparable in German and Chinese students. Some healthy lifestyle choices (i.e., more frequent physical activity, non-smoking, regular social rhythm) are related to improvements in mental health over a 1-year period