Examining the Use of Offshore Online Gambling Sites in the United States via Routine Activities Theory: A SEM Analysis.

Despite the recent proliferation of legal online gambling in the Unites States, offshore gambling sites still remain prevalent, causing various problems in the U.S. Although numerous law violations occur in this domain, prior research has reported limited information about offshore gambling, mostly focusing on offshore gamblers' characteristics and motivations. Using routine activities theory, this study attempted to understand environmental and theoretical factors that affect the use of offshore sites by focusing on offshore gambling-generating contexts that involve offshore sites and online casino reviews. Major findings show that the online visibility of offshore sites may be a key predictor of the use of the sites by U.S. players. In addition, online casino reviews providing a blacklist of online gambling sites served as informal guardians, helping players avoid unreliable offshore gambling sites that pose a risk to their customers. Policy implications were suggested based on the findings and provided insights toward effective online gambling regulatory efforts.

The response of nitrifying activated sludge to chlorophenols: Insights from metabolism and redox homeostasis.

The specialized wastewater treatment plants for the chemical industry are rapidly developed in China and many other countries. But there is a common bottleneck in that the toxic pollutants in chemical wastewater often cause shock impacts on biological nitrogen removal systems, which directly affects the stability and cost of operation. As the research on nitrification inhibition characteristics is not sufficient till now, there is a great lack of theoretical guidance on the control of the inhibition. This study investigated the response of nitrifying activated sludge to chlorophenols (CPs) inhibition in terms of metabolism disorder and oxidative stress. At the initial stage of reaction (i.e., 1 h), reactive oxygen species (ROS)-induced membrane damage which might account for declining nitrification performance. Simultaneously excessive extracellular polymeric substances (EPS) were secreted to alleviate oxidative stress injury and protected microorganisms to some extent. In particular tyrosine-like substances in LB-EPS with a Fmax increase of 242.30% were confirmed to efficiently resist phenols inhibition. Thus, as the inhibition proceeded, metabolism disorder replaced oxidative stress as the main cause of nitrification inhibition. The affected metabolic processes include weakened enzyme catalysis, restricted electron transport and lessened energy generation. At 4 h, nitrifying production of sludge amended with 5 mg/L chlorophenols was 89.27 ± 9.51%-98.15 ± 9.60% lower than blank, the inhibition could be attributed to comprehensively affected metabolism. The structural equation modeling indicated that phenols restricted nitrification enzymes and bacterial electron transport efficiency which was critical to nitrification performance. Moreover, the lessened energy generation weakens enzyme activity to further suppress nitrification. These findings enriched our knowledge of nitrifiers' responses to CPs inhibition and provided the basis for addressing nitrification inhibition.

A New Short Version of Internet Gaming Disorder-20: An Exploratory Structural Equation Modeling.

Objective: The purpose of this paper was to contribute to the psychometric properties and dimensionality of the IGD-20. Method: An online survey was completed by 392 Italian online gamers (Mage = 29.2, SD = 11.3; 45.2% males). A battery of self-report questionnaires was administered to assess internet gaming disorder, internet addiction, loneliness, anxiety, depression, stress, social-interaction anxiety, self-esteem, and perceived social support. To test the factor structure of IGD-20, both traditional (i.e., EFA and CFA) and innovative (i.e., ESEM) techniques were applied. Convergent, concurrent, discriminant, and criterion-related validity were evaluated. Results: Our study revealed the outperforming 3-factor ESEM model (χ2=39.951, p = 0.0021; RMSEA = 0.056, 90% C.I. [0.032 - 0.079]; CFI = 0.986; TLI = 0.965; and SRMR = 0.017; ω = .76, .77, and .79, respectively) as a new short version (IGD-10SV) for the IGD-20. The validity of the IGD-10SV was supported by significant associations with theoretically related measures. Conclusions: The current findings support the adoption of the analytic ESEM approach for complex multidimensional measures and the use of the IGD-10SV for the assessment of internet gaming disorder.

Moderating and Mediating Effects of Resilience Together with Neuroticism on Depressive Symptoms in Adult Volunteers.

Background: Parenting quality experienced in childhood affects depressive symptoms in adulthood, and neuroticism and resilience are attracting attention as personality traits that mediate the effects of parental rearing quality experienced in childhood on adulthood depressive symptoms. However, the interaction between neuroticism and resilience remains unclear. In this study, we hypothesized that resilience and neuroticism are mediators between parental rearing quality experienced in childhood and depressive symptoms in adulthood, and furthermore, that resilience and neuroticism interact with each other in their effects on depressive symptoms. To test these hypotheses, we conducted structural equation modeling and hierarchical multiple regression analysis including interactions in adult volunteers. Methods: A self-administered questionnaire survey was conducted on 528 adult volunteers recruited at Tokyo Medical University for 1 year from April 2017 to April 2018. The Parental Bonding Instrument (PBI), Eysenck Personality Questionnaire-revised short version, Connor-Davidson Resilience Scale, and Patient Health Questionnaire-9 were used as questionnaires, and their scores were analyzed using structure equation modeling. The interaction between resilience and neuroticism was analyzed using hierarchical multiple regression analysis. Results: Structural equation modeling showed that parenting quality (care and overprotection) experienced in childhood had a significant indirect effect on the severity of depressive symptoms in adulthood, mediated by both neuroticism and resilience. Among the subscores of the PBI, "care" showed opposite effects to "overprotection". Structural equation modeling of "care" and "overprotection" explained 36.9% and 36.6% of the variability in depressive symptoms in adulthood, respectively. Hierarchical multiple regression analysis showed that the negative interaction between neuroticism and resilience had a significant effect on depressive symptom severity in adulthood. Conclusion: The results of this study show that resilience and neuroticism are mediators of the effects from parental child-rearing to depressive symptoms in adulthood. Furthermore, resilience antagonizes the effect of neuroticism on adulthood depressive symptoms.

Measuring Strengths, Opportunities, Aspirations, and Results: Psychometric Properties of the 12-Item SOAR Scale.

Strengths, Opportunities, Aspirations, and Results (SOAR) is a strengths-based framework for strategic thinking, planning, conversations, and leading that focuses on strengths, opportunities, aspirations, and results. The SOAR framework leverages and integrates Appreciative Inquiry (AI) to create a transformation process through generative questions and positive framing. While SOAR has been used by practitioners since 2000 as a framework for generating positive organizational change, its use in empirical research has been limited by the absence of reliable and valid measures. We report on the reliability, construct validity, and measurement invariance of the SOAR Scale, a 12-item self-report survey organized into four first-order factors (Strengths, Opportunities, Aspirations, and Results). Data from a sample of 285 U.S. professionals were analyzed in Mplus using confirmatory factor analysis and exploratory structural equation modeling. The Four-Factor first-order exploratory structure equation modeling (ESEM) had the best model fit. Measurement invariance tests found the scalar invariance of the SOAR Scale across gender and education groups. Implications are discussed for using the SOAR Scale to build resilience at the individual, the team, and the organizational levels.

Effects of drug circulation supervision on online drug retailing within different time spans / 中国药房

OBJECTIVE To study th e effects of drug circulation supervision on online drug retailing within different time span，and to provide reference for network drug circulation supervision. METHODS Based on the research hypothesis ，a scale was designed to verify the relationship between variables. Questionnaire was used for data collection. Structure equation modeling （SEM）was applied in verifying relationships between variables after exploratory factor analysis and confirmatory factor analysis ， which aimed to test reliability and validity. RESULTS & CONCLUSIONS Result of SEM indicated that drug circulation supervision had a positive significant impact upon online drug retailing within different time spans ，but its intensity varied. Specifically，the influence intensity of drug circulation supervision on retail mode and online prescription decreased with the longer time span ；the influence intensity on the types of online drugs were relatively balanced within different time spans ；the intensity of the impact on the retail cost of online pharmacies increased with the longer time span. Results of further analysis suggested that there were also differences in the weights of observed variables in drug circulation supervision and the weight of information regulation was the lowest. Accordingly，it is suggested to strengthen industry linkage ，standardize retail methods ，coordinate digital supervision system ，strengthen online prescription management ，refine supervision methods ，implement classified supervision ， buffer adverse effects and reduce enterprise costs.

Mediating Factors Between Parental Socioeconomic Status and Small for Gestational Age in Infants: Results from the Hokkaido Study on Environment and Children's Health.

OBJECTIVES: Previous studies indicated a significant association between small for gestational age (SGA) in infants and their parents' socioeconomic status (SES). Thus, this study aimed to examine if parental factors, such as maternal smoking, and the pre-pregnancy body mass index (BMI) could mediate the associations between parental SES and SGA. METHODS: The participants of this study were pregnant women who enrolled in an ongoing birth cohort study, the Hokkaido study, during the first trimester of their pregnancies. A total of 14,593 live singleton births were included in the statistical analysis, of which 1011 (6.9%) were SGA. Two structural equation models were employed to evaluate the associations between parental SES, parental characteristics, and SGA. RESULTS: The effect of low SES on SGA was directly mediated by maternal pre-pregnancy BMI, smoking during the third trimester, and alcohol consumption during the first trimester in the first model, which was based the assumption of independent associations between mediating factors. In the second model, which additionally considered the mediating factors from the first model, smoking during pregnancy mediated decline in parental SES, consequently increased SGA. Moreover, an increase in pregnancy smoking status increased the prevalence of lower maternal pre-pregnancy BMI and its effect on SGA. CONCLUSIONS FOR PRACTICE: In this study, we observed the independent mediating effect of maternal pre-pregnancy BMI, smoking, and alcohol consumption during pregnancy on low SES and, consequently, SGA, with the additional mediating pathway of SES to smoking to low BMI on SGA.

Relative contribution of environmental and nutritional variables to net primary production of Cynodon dactylon (Linn.) Pers in the riparian zone of a Three Gorges tributary.

Our knowledge of fundamental drivers of terrestrial net primary production (NPP) is crucial for improving the predictability of ecosystem stability under global climate change. However, the patterns and determinants of NPP are not fully understood, especially in the riparian zone ecosystem disturbed by periodic drought-rewetting (DRW) cycles. The environmental (flooding time, pH, moisture, and clay content) and nutritional properties (soil organic carbon, total nitrogen, total phosphorus, ammonium (NH4 +-N), nitrate (NO3 --N), and C:N:P stoichiometry) were investigated in the riparian zone of Pengxi River-a typical tributary of Three Gorges Reservoir (TGR). Structure equation modeling was performed to evaluate the relative importance of environmental and nutritional properties on NPP of Cynodon dactylon (Linn.) Pers (C. dactylon)-a dominating plant in the riparian zone of TGR. Our results indicated that NPP was much lower under much severe flooding stress. All of these variables could predict 46% of the NPP variance. Nutrient use efficiency (NUE) was one of the most critical predictor shaping the change of NPP. Specifically, flooding stress as a major driver had a direct positive effect on soil moisture and soil clay content. The soil clay content positively affects the soil C: N ratio, which further had an indirect negative impact on NPP by mediating NUE. Overall, our study provided a comprehensive analysis of the effects of the combined effect of environmental and nutrient factors on NPP and showed that continuous DRW cycles induced by hydrological regime stimulate the decrease of NPP of C. dactylon by changing NUE strategies. Further research is needed to explore the responses of NPP and NUE under different land use to DRW cycles and to investigate the DRW effects on the combined effect of environmental and nutrient factors by in situ experiments and long-term studies.

Assessment of noise pollution and associated subjective health complaints and psychological symptoms: analysis through structure equation model.

Road traffic noise is affecting the exposed population through its detrimental effects. This study was conducted in urban zones of Peshawar, Khyber Pakhtunkhwa, Pakistan, to analyze causal relationship between noise and subjective health complaints with a special focus on psychological symptoms. A 12-h (LAeq) noise survey conducted at different locations (n = 57) indicated a noise range of 46.3-86.3 dB (A). A questionnaire survey was conducted from local residents (n = 500), students (n = 500), policemen (n = 500), shopkeepers (n = 500), and drivers (n = 500) exposed to road traffic noise and analyzed through structure equation modeling (SEM). Different models were prepared and a modified model obtained the acceptable model fit, i.e., chi-square 0.093, χ2/df 1.286, comparative fit index 0.986, goodness of fit index 0.966, normed fit index 0.943, Tucker-Lewis index 0.977, and root mean square error of approximation 0.034. The modified model gives not only the information about direct but also indirect effects of noise on the exposed population. Adding on, the model clearly indicates that sensitivity to noise has strong relationship with subjective health complaints (headache, exhaustion, and psychological symptoms such as annoyance, difficulty concentrating, ill temper, and anxiety) than profession, age, location, and gender. Duration of exposure to road traffic noise has an important role in increasing the frequency of subjective health issues. The model is important in depicting that sensitivity to noise may produce subjective health complaints (standardized parameter estimates of 0.12 and 0.29) but the mediator has much stronger positive path estimates (0.59). The modified model sought to discover and explicate the underlying mechanism of an observed relationship existing between the selected dependent and an independent variable through the identification of the mediator variables.

Evaluating the mechanisms of the impacts of key factors on soil soluble organic nitrogen concentrations in subtropical mountain ecosystems.

Soil soluble organic nitrogen (SON) concentrations in terrestrial ecosystems were influenced differently and substantially by both biotic and abiotic factors. This study aimed to ascertain the mechanisms of the impact of the key factors on the SON concentrations of subtropical mountain ecosystems in southeastern China using an integrative approach, which combined a field plot survey, gray relational analysis and structure equation modeling. The results showed that the soil organic matter, clay content, protease activity and bacterial biomass were the key factors controlling the dynamics of the SON concentrations in subtropical mountain ecosystems. Protease activity, by catalyzing the degradation of complex organic nitrogen to SON, had the highest direct influence on the SON concentrations among all of the impact factors with direct impact effect of 0.44. Organic matter, which serves as a primary source of SON and can increase soil protease activity and bacterial biomass, contributed the most significantly to the SON concentrations in both direct and indirect pathways with total impact effects of 0.87. Clay, by adsorbing SON and affecting organic matter accumulation and protease activity, also had important direct or indirect influences on the SON concentrations with total impact effects of 0.48. The impact of the bacterial biomass on the SON concentrations was likely to be concealed by accompanying nitrogen-degrading enzyme activity with total impact effects of 0.22. Thus, the organic matter, clay content and protease activity exerted greater total impact effects on the SON concentrations compared with the bacterial biomass. Protease activity and organic matter had a greater positive direct impact on the SON concentrations compared with the bacterial biomass and clay content, while organic matter also had greater positive indirect impacts on the SON concentrations than did the clay content. This study's results could help to elucidate the differential mechanism of SON dynamics among various terrestrial ecosystems.

Trichoderma Biofertilizer Links to Altered Soil Chemistry, Altered Microbial Communities, and Improved Grassland Biomass.

In grasslands, forage and livestock production results in soil nutrient deficits as grasslands typically receive no nutrient inputs, leading to a loss of grassland biomass. The application of mature compost has been shown to effectively increase grassland nutrient availability. However, research on fertilization regime influence and potential microbial ecological regulation mechanisms are rarely conducted in grassland soil. We conducted a two-year experiment in meadow steppe grasslands, focusing on above- and belowground consequences of organic or Trichoderma biofertilizer applications and potential soil microbial ecological mechanisms underlying soil chemistry and microbial community responses. Grassland biomass significantly (p = 0.019) increased following amendment with 9,000 kg ha-1 of Trichoderma biofertilizer (composted cattle manure + inoculum) compared with other assessed organic or biofertilizer rates, except for BOF3000 (fertilized with 3,000 kg ha-1 biofertilizer). This rate of Trichoderma biofertilizer treatment increased soil antifungal compounds that may suppress pathogenic fungi, potentially partially responsible for improved grassland biomass. Nonmetric multidimensional scaling (NMDS) revealed soil chemistry and fungal communities were all separated by different fertilization regime. Trichoderma biofertilizer (9,000 kg ha-1) increased relative abundances of Archaeorhizomyces and Trichoderma while decreasing Ophiosphaerella. Trichoderma can improve grassland biomass, while Ophiosphaerella has the opposite effect as it may secrete metabolites causing grass necrosis. Correlations between soil properties and microbial genera showed plant-available phosphorus may influence grassland biomass by increasing Archaeorhizomyces and Trichoderma while reducing Ophiosphaerella. According to our structural equation modeling (SEM), Trichoderma abundance was the primary contributor to aboveground grassland biomass. Our results suggest Trichoderma biofertilizer could be an important tool for management of soils and ultimately grassland plant biomass.

Trichoderma-Inoculation and Mowing Synergistically Altered Soil Available Nutrients, Rhizosphere Chemical Compounds and Soil Microbial Community, Potentially Driving Alfalfa Growth.

Trichoderma spp. are proposed as major plant growth-promoting fungi (PGPF) to increase plants growth and productivity. Mowing can stimulate aboveground regrowth to improve plant biomass and nutritional quality. However, the synergistic effects of Trichoderma and mowing on plants growth, particularly the underlying microbial mechanisms mediated by rhizosphere soil chemical compounds, have rarely been reported. In the present study, we employed Trichoderma harzianum T-63 and conducted a pot experiment to investigate the synergistic effect of Trichoderma-inoculation and mowing on alfalfa growth, and the potential soil microbial ecological mechanisms were also explored. Alfalfa treated with Trichoderma-inoculation and/or mowing (T, M, and TM) had significant (P < 0.05) increases in plant shoot and root dry weights and soil available nutrients (N, P, and K), compared with those of the control (CK). Non-metric multidimensional scaling (NMDS) demonstrated that the rhizosphere chemical compounds and soil bacterial and fungal communities were, respectively, separated according to different treatments. There was a clear significant (P < 0.05) positive correlation between alfalfa biomass and the relative abundance of Trichoderma (R2 = 0.3451, P = 0.045). However, Pseudomonas, Flavobacterium, Arthrobacter, Bacillus, Agrobacterium, and Actinoplanes were not significantly correlated with alfalfa biomass. According to structure equation modeling (SEM), Trichoderma abundance and available P served as primary contributors to alfalfa growth promotion. Additionally, Trichoderma-inoculation and mowing altered rhizosphere soil chemical compounds to drive the soil microbial community, indirectly influencing alfalfa growth. Our research provides a basis for promoting alfalfa growth from a soil microbial ecology perspective and may provide a scientific foundation for guiding the farming of alfalfa.

EFFECT OF MOTIVATION IN LEARNING SUCCESS : A STRUCTURAL EQUATION MODELLING ANALYSIS / Шинэ санаа Шинэ нээлт

@#BACKGROUND: Learning success is a success of study process. It reveals by how the individual effort, time management, task complement, self-development and self sdutying skills. The GPA is a measurable outcome of those skills above. A motivation is a behavior and psychological complex that affects the skills. Otherwise, it is a process that motivates person by the intrinsic or extrinsic effect to a particular goal. Every student has his own permanent study manners and learning skill. It depends directly by how he motivates himself. Such study is deficient, actually in medical students in Mongolia. Therefore, we aimed to study how motivation effects in medical students learning success. METHODS: The present study is accomplished among 3-6 grade students who study by a general doctor in Mongolian National University of Medical Science by analytical study method and cross-sectional design. 536 students wer selected randomly. John Biggs’s R-SPQ-2F- Revised study process questionnaire 2 factor and Rein Cornel’s SRQ (Self regulationquistionnaire) and additional 5 questions are used. For the data analysis, IBM SPSS 21.0, SPSS AMOS soft wares are used to evaluate the descriptive and analytic statistics. Statistically significant differences between the groups were defined as p-values less than 0.05. RESULTS: The total number of students in our research were 536, thereform 23.5% were male (126), 76.5% were female (410) students. Highly GPA students engrained their own study technique because the variable of DS (p<0.01) is positively dependent with the GPA. Whereas the slight motivation (SM) is negativele correlated (p<0.001) with the GPA, therefore the variable of SM is less dependent. The Relactive approach motivation (RAM) is direct, positively dependent between good study strategy (GSS) and grade point average (GPA). Also, the positive learning methods (GSS) both are positively dependent for learning-succession. Although, it is enamored that good study strategy (GSS) are highly indication compared to other variables. Otherwise, GSS is more effective for learning-succession than a grade point average (GPA). If the students can own the right learning skill themselves, they will increase the learning-succession. CONCLUSION: Relative Autonomous Motivation is positively affects through good study strategy and learning success. Intrinsic motivation is more effective than other variables..

Mediating role of critical thinking disposition in the relationship between perceived barriers to research use and evidence-based practice.

BACKGROUND: Despite the importance of critical thinking in clinical and educational settings, little is known about its role in evidence-based practice (EBP). AIM: This study examined whether critical thinking disposition (CTD) mediates the relationship between perceived barriers to research use and EBP in clinical nurses (N=409). METHODS/DESIGN: A path diagram using structural equation modeling was used to estimate the direct and indirect effects of perceived barriers to research use on EBP, controlling for CTD as a mediator. RESULTS: CTD partially mediated the relationship between perceived barriers to research use and EBP. Furthermore, the hypothesized mediation model demonstrated an appropriate fit to the data. CONCLUSIONS: Individual and organizational efforts are needed to help nurses further improve their critical thinking skills. CTD is important as research barriers to engage effectively in EBP. Without the skills to evaluate evidence carefully, research utilization may be compromised.

A metastructural model of mental disorders and pathological personality traits.

BACKGROUND: Psychiatric co-morbidity is extensive in both psychiatric settings and the general population. Such co-morbidity challenges whether DSM-based mental disorders serve to effectively carve nature at its joints. In response, a substantial literature has emerged showing that a small number of broad dimensions - internalizing, externalizing and psychoticism - can account for much of the observed covariation among common mental disorders. However, the location of personality disorders within this emerging metastructure has only recently been studied, and no studies have yet examined where pathological personality traits fit within such a broad metastructural framework. METHOD: We conducted joint structural analyses of common mental disorders, personality disorders and pathological personality traits in a sample of 628 current or recent psychiatric out-patients. RESULTS: Bridging across the psychopathology and personality trait literatures, the results provide evidence for a robust five-factor metastructure of psychopathology, including broad domains of symptoms and features related to internalizing, disinhibition, psychoticism, antagonism and detachment. CONCLUSIONS: These results reveal evidence for a psychopathology metastructure that (a) parsimoniously accounts for much of the observed covariation among common mental disorders, personality disorders and related personality traits, and (b) provides an empirical basis for the organization and classification of mental disorder.

Research on the structure equation model of tendency on drug abuse and related influencing factors in middle school students / 中华流行病学杂志

Objective To understand the relationship of tendency on drug abuse and related influencing factors for middle school students.Methods A total of 603 students wcre assessed with self-made copying style scale,consciousness to resistance of smoking,drinking and resistance ability through a questionnaire.A relationship model was set up by structure equation modeling.Results Copying style and resistance ability had significantly direct influence on tendency of drug abuse(with standardized coefficients were 0.202 and 0.092 respectively).Consciousness to resistance of smoking and drinking had significantly indirect influence on tendency of drug abuse.The goodneSS of fit for the structural equation model was satisfactory,with GFI,AGFI,RMSEA as 0.981,0.972 and 0.014 respectively.Conclusion It Was meaningful to grasp some copying skills and resistance ability to lower the tendency of drug abuse in middle school students.

A Structural Equation Modeling of Perceived Academic Self-efficacy, Learning Stress, and Learning Burnout of High School Students / 中国临床心理学杂志

Objective: To build a relationship model of perceived academic self-efficacy, learning stress, and learning burnout of high school students. Methods: 674 high school students were surveyed with Learning Stress Scale of High School Students, The Perceived Academic Self -efficacy Scale, Scale of Learning Burnout of High School Students. Results: Learning stress had a direct effect on a low level of learning efficacy, perceived alienation to teacher and physical exhaustion (The direct effect value were -0.22,0.12,0.27). At the same time, perceived basic ability and perceived control partially mediated the impact of learning stress on the low level of learning efficacy, perceived alienation to teacher and physical exhaustion (the mediated effect value were -0.155 and-0.264, 0.066 and 0.299, 0.089 and 0.233). Perceived basic ability and perceived control fully mediated the relationship between learning stress and emotional exhaustion (the mediated effect value were 0.033 and 0.387). Conclusion: The students with a higher level of stress reported suffering more learning burnout than those with a lower level of stress, and vice versa.

A Structural Equation Model of Stress,Coping Style,Social Support and Subjective Well-being for College Students / 中国临床心理学杂志

Objective: To explore the association between stress, coping style, social support and subjective well-being (SWB) of college Students. Methods: 1773 college students from 8 colleges in Guangzhou were tested with Index of Well-being Questionnaire, College Students’ Stress Scale, Simplified Coping Style Questionnaire(SCSQ) and Social Support Rating Scale (SSRS). And structural equation model (SEM) was built based on the data. Results: SEM revealed ?2/df=2.837, RMSEA=0.032, and indexes of GFI、AGFI、NFI、NNFI、CFI were all above 0.9. Stress and passive coping style had passive effect on SWB (the overall regression weights were -0.377 and -0.130 respectively). Social support and positive coping style had positive effect on SWB (the overall regression weights were 0.286 and 0.277 respectively). Conclusion: Stress, coping style and social support are important forecast variables of SWB.