scholarly journals When Goal Pursuit Gets Hairy: A Longitudinal Goal Study Examining the Role of Controlled Motivation and Action Crises in Predicting Changes in Hair Cortisol, Perceived Stress, Health, and Depression Symptoms

2021 ◽  
pp. 216770262199521
Author(s):  
Anne Catherine Holding ◽  
Emily Moore ◽  
Amanda Moore ◽  
Jérémie Verner-Filion ◽  
Isabelle Ouellet-Morin ◽  
...  
Keyword(s):  
Perceived Stress ◽  
Structural Equation ◽  
Goal Pursuit ◽  
Equation Modeling ◽  
Depression Symptoms ◽  
Hair Cortisol ◽  
Controlled Motivation ◽  
Goal Motivation ◽  
Action Crises ◽  
Action Crisis

The action crisis is a critical phase in goal striving during which the goal pursuer feels conflicted about persevering with the goal or initiating disengagement. Recent research suggests that goal motivation, specifically controlled motivation (i.e., pursuing a goal out of obligation and pressure), increases the likelihood of experiencing action crises. In turn, action crises in goal pursuit have been linked to increases in depression symptoms and cortisol. In the present 8-month longitudinal study, we tracked university students’ personal goals to examine whether the pursuit of controlled goals and the experience of action crises was associated with increasing levels of hair cortisol, perceived stress, poor health, and depression symptoms ( N = 156). Structural equation modeling suggested that experiencing action crises in goal pursuit was associated with increases in markers of stress, depression, and ill-being. This effect was partially explained by controlled goal motivation. The clinical and theoretical implications of these findings are discussed.

scholarly journals Postpartum depression symptoms in survey-based research: a structural equation analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Che Wan Jasimah Bt Wan Mohamed Radzi ◽  
Hashem Salarzadeh Jenatabadi ◽  
Nadia Samsudin
Keyword(s):  
Postpartum Depression ◽  
Latent Variable ◽  
Structural Equation ◽  
Depression Scale ◽  
Public Health Problem ◽  
Equation Modeling ◽  
Depression Symptoms ◽  
Postpartum Women ◽  
Unhealthy Food ◽  
High Level

Abstract Background Since the last decade, postpartum depression (PPD) has been recognized as a significant public health problem, and several factors have been linked to PPD. Mothers at risk are rarely undetected and underdiagnosed. Our study aims to determine the factors leading to symptoms of depression using Structural Equation Modeling (SEM) analysis. In this research, we introduced a new framework for postpartum depression modeling for women. Methods We structured the model of this research to take into consideration the Malaysian culture in particular. A total of 387 postpartum women have completed the questionnaire. The symptoms of postpartum depression were examined using the Edinburgh Postnatal Depression Scale (EPDS), and they act as a dependent variable in this research model. Results Four hundred fifty mothers were invited to participate in this research. 86% of the total distributed questionnaire received feedback. The majority of 79.6% of respondents were having depression symptoms. The highest coefficients of factor loading analysis obtained in every latent variable indicator were income (β = 0.77), screen time (β = 0.83), chips (β = 0.85), and anxiety (β = 0.88). Lifestyle, unhealthy food, and BMI variables were directly affected by the dependent variable. Based on the output, respondents with a high level of depression symptoms tended to consume more unhealthy food and had a high level of body mass indexes (BMI). The highest significant impact on depression level among postpartum women was unhealthy food consumption. Based on our model, the findings indicated that 76% of the variances stemmed from a variety of factors: socio-demographics, lifestyle, healthy food, unhealthy food, and BMI. The strength of the exogenous and endogenous variables in this research framework is strong. Conclusion The prevalence of postpartum women with depression symptoms in this study is considerably high. It is, therefore, imperative that postpartum women seek medical help to prevent postpartum depressive symptoms from worsening.

scholarly journals Understanding continued smartwatch usage: the role of emotional as well as health and fitness factors

2021 ◽  
Author(s):  
Carolin Siepmann ◽  
Pascal Kowalczuk
Keyword(s):  
Structural Equation ◽  
Goal Pursuit ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Emotional Factors ◽  
Health And Fitness ◽  
Important Barrier ◽  
Personal Fitness ◽  
Continuous Use ◽  
The Impact

AbstractSmartwatches are the most popular wearable device and increasingly subject to empirical research. In recent years, the focus has shifted from revealing determinants of smartwatch adoption to understanding factors that cause long-term usage. Despite their importance for personal fitness, health monitoring, and for achieving health and fitness goals, extant research on the continuous use intention of smartwatches mostly disregards health and fitness factors. Grounding on self-determination theory, this study addresses this gap and investigates the impact of health and fitness as well as positive and negative emotional factors encouraging or impeding consumers to continuously use smartwatches. We build upon the expectation-confirmation model (ECM) and extend it with emotional (device annoyance and enjoyment) as well as health and fitness factors (goal pursuit motivation and self-quantification behavior). We use structural equation modeling to validate our model based on 335 responses from actual smartwatch users. Results prove the applicability of the ECM to the smartwatch context and highlight the importance of self-quantification as a focal construct for explaining goal pursuit motivation, perceived usefulness, confirmation and device annoyance. Further, we identify device annoyance as an important barrier to continuous smartwatch use. Based on our results, we finally derive implications for researchers and practitioners alike.

Major dietary patterns and metabolic syndrome associated with severity of coronary artery disease: A structural equation modeling

2021 ◽  
pp. 026010602110206
Author(s):  
Mohamed Kuhail ◽  
Kurosh Djafarian ◽  
Sakineh Shab-Bidar ◽  
Mehdi Yaseri
Keyword(s):  
Metabolic Syndrome ◽  
Perceived Stress ◽  
Dietary Patterns ◽  
Structural Equation ◽  
Equation Modeling ◽  
Gensini Score ◽  
Perceived Stress Scale ◽  
Stress Scale ◽  
Direct Association ◽  
Artery Disease

Background: The association of dietary patterns and metabolic syndrome with the severity of coronary artery disease (CAD) is little known. Aim: This study aimed to explore the relationship between major dietary patterns and the severity of CAD among newly discovered patients by using structural equation modeling (SEM). Methods: In this cross-sectional study, we included 423 newly diagnosed patients with CAD, aged 35–65 years, who underwent coronary angiography. The severity of CAD was assessed by the Gensini score. All patients were tested by using a semi-quantitative food frequency questionnaire, international physical activity questionnaire, perceived stress scale, lipid profile, fasting blood glucose, and anthropometric and blood pressure measurements. Statistical analysis was performed using SPSS and AMOS version 24. Results: Two dietary patterns (DPs) were identified by principal components analysis and labeled as “unhealthy DP” and “healthy DP”. The results of SEM analysis showed that the unhealthy DP has a significant positive direct association with the severity of CAD (β=0.304, p<0.001), which is indirectly mediated by the presence of metabolic syndrome (β=0.021, p=0.021), adjusted for age and perceived stress scale. However, healthy DP has a significant negative direct association with the Gensini score (β=-0.213, p<0.001), and an indirect association through negative metabolic syndrome (β=-0.019, p=0.022), controlled for gender, physical activity, and perceived stress scale. Conclusions: The severity of CAD was directly associated with the unhealthy DP and indirectly mediated by the presence of the metabolic syndrome, while a healthy DP had a direct inverse association with CAD severity and indirectly mediated by the absence of metabolic syndrome.

Attributional Style as a Predictor of Hopelessness Depression

2006 ◽  
Vol 20 (4) ◽  
pp. 447-458 ◽  
Author(s):  
Edward D. Sturman ◽  
Myriam Mongrain ◽  
Paul M. Kohn
Keyword(s):  
Attributional Style ◽  
Latent Variable ◽  
Structural Equation ◽  
Depression Scale ◽  
Epidemiological Studies ◽  
Psychomotor Retardation ◽  
Equation Modeling ◽  
Depression Symptoms ◽  
Negative Events ◽  
Hopelessness Depression

Stable and global attributions for negative events were tested as predictors of hopelessness depression symptoms, obtained from a diagnostic interview for a past depressive episode in a sample of 102 graduate students. All participants were administered the Structured Clinical Interview for DSM–IV, Center for Epidemiological Studies Depression Scale, Personal Style Inventory, and a modified version of the Extended Attributional Style Questionnaire. A stable and global attributional style for negative events was significantly associated with a composite of hopelessness depression symptoms. A regression analysis revealed that attributional style significantly postdicted hopelessness depression symptoms when controlling for both sociotropy and autonomy. Structural equation modeling supported a model in which stable and global attributions predicted a latent variable, which we refer to as a motivational deficit, involving psychomotor retardation and fatigue as indicators. Therefore, this study obtained some support for the hopelessness model and highlights the vulnerability posed by attributional style ( Abramson, Metalsky, & Alloy, 1989 ).

Relationships Between Perfectionism, Stress, and Basic Need Support Provision in Dance Teachers and Aesthetic Sport Coaches

2021 ◽  
Author(s):  
Sanna M. Nordin-Bates ◽  
Gareth Jowett
Keyword(s):  
Perceived Stress ◽  
Autonomy Support ◽  
Structural Equation ◽  
Basic Needs ◽  
Well Being ◽  
Performance Outcomes ◽  
Equation Modeling ◽  
Dance Teachers ◽  
Socially Prescribed Perfectionism ◽  
Sport Coaches

A substantial body of evidence links perfectionism to well-being and performance outcomes in dancers and athletes. Yet, we know relatively little about leaders’ perfectionism in dance and sport. This is important because leaders’ perfectionism likely impacts both themselves and their performers. In this study, we examined relationships between leader perfectionism, their provision of basic needs support, and whether stress explains these relationships. Aesthetic activity leaders (N = 463; n = 336 dance teachers, n = 127 aesthetic sport coaches, and n = 376 female; Mean age = 35.47 and SD = 12.46 years) completed an online questionnaire measuring multidimensional perfectionism (self-oriented perfectionism, SOP; socially prescribed perfectionism, SPP; and other-oriented perfectionism, OOP), self-reported provision of basic needs support (autonomy, competence, and relatedness), and perceived stress. Correlations suggested that leaders displaying higher levels of any perfectionism dimension (SOP, SPP, and OOP) provided less support for autonomy and perceived higher levels of stress. Leaders displaying higher levels of SPP also reported providing less support for competence. Structural equation modeling revealed that perceived stress partially mediated the relationships between perfectionism and provision of basic needs support. Socially prescribed perfectionism shared a negative indirect relationship with autonomy support as well as negative direct and indirect relationships with competence support, both via perceived stress. By contrast, OOP shared positive indirect relationships with autonomy support and competence support via perceived stress. Based on these findings, it would be prudent for dance and sport organizations to minimize pressures on leaders to be perfect, help them identify how their perfectionism impacts both themselves and others, and work with them to optimize basic needs support.

Psychological Mechanisms Underlying Doping Attitudes in Sport: Motivation and Moral Disengagement

2013 ◽  
Vol 35 (4) ◽  
pp. 419-432 ◽  
Author(s):  
Ken Hodge ◽  
Elaine A. Hargreaves ◽  
David Gerrard ◽  
Chris Lonsdale
Keyword(s):  
Structural Equation ◽  
Moral Disengagement ◽  
Strong Predictor ◽  
Autonomous Motivation ◽  
Equation Modeling ◽  
Psychological Mechanisms ◽  
Controlled Motivation ◽  
Positive Attitudes ◽  
Motivational Climates ◽  
Performance Enhancing Drugs

We examined whether constructs outlined in self-determination theory (Deci & Ryan, 2002), namely, autonomy-supportive and controlling motivational climates and autonomous and controlled motivation, were related to attitudes toward performance-enhancing drugs (PEDs) in sport and drug-taking susceptibility. We also investigated moral disengagement as a potential mediator. We surveyed a sample of 224 competitive athletes (59% female; M age = 20.3 years; M = 10.2 years of experience participating in their sport), including 81 elite athletes. Using structural equation modeling analyses, our hypothesis proposing positive relationships with controlling climates, controlled motivation, and PEDs attitudes and susceptibility was largely supported, whereas our hypothesis proposing negative relationships among autonomous climate, autonomous motivation, and PEDs attitudes and susceptibility was not supported. Moral disengagement was a strong predictor of positive attitudes toward PEDs, which, in turn, was a strong predictor of PEDs susceptibility. These findings are discussed from both motivational and moral disengagement viewpoints.

scholarly journals Goal Striving and Well-Being in Sport: The Role of Contextual and Personal Motivation

2014 ◽  
Vol 36 (5) ◽  
pp. 446-459 ◽  
Author(s):  
Laura C. Healy ◽  
Nikos Ntoumanis ◽  
Jet J.C.S. Veldhuijzen van Zanten ◽  
Nicola Paine
Keyword(s):  
Structural Equation ◽  
Goal Attainment ◽  
Well Being ◽  
Psychological Needs ◽  
Basic Psychological Needs ◽  
Equation Modeling ◽  
Goal Striving ◽  
Personal Motivation ◽  
Goal Motivation ◽  
Coach Behaviors

This investigation sought to clarify mixed results in the literature exploring coach behaviors, basic psychological needs, goal motivation, and well- and ill-being. Regional-level team sport athletes (N = 241) completed questionnaires on the aforementioned variables at the beginning of the season. A subsample (n = 70) provided saliva samples to assess physical ill-being. At the end of the season, athletes (n = 98) reported their goal motivation and attainment. Structural equation modeling demonstrated that coach behaviors were related to needs satisfaction and thwarting, which were related to autonomous and controlled goal motives respectively. Autonomous motives were related to well- and ill-being; controlled motives were only related to ill-being. Over time, only end-of-season autonomous goal motives were related to goal attainment. The findings provide an insight into how coaches can facilitate optimum goal striving and well-being in their athletes.

scholarly journals Condition openness is associated with better mental health in individuals with an intersex/differences of sex development condition: structural equation modeling of European multicenter data

2021 ◽  
pp. 1-12
Author(s):  
Tim C. van de Grift ◽  
Keyword(s):  
Mental Health ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Self Esteem ◽  
Equation Modeling ◽  
Study Patient ◽  
Anxiety And Depression ◽  
Depression Symptoms ◽  
Sex Development ◽  
Differences Of Sex Development

Abstract Background Openness on one's health condition or (stigmatized) identity generally improves mental health. Intersex or differences of sex development (DSD) conditions have long been kept concealed and high levels of (internalizing) mental health problems are reported. This study examines the effects of condition openness on anxiety and depression and the role of mediating concepts in this population. Methods Cross-sectional data of individuals of 16 years and older with an intersex/DSD condition was collected in 14 specialized European clinics as part of the dsd-LIFE study. Patient-reported measures were taken on openness and shame (Coping with DSD), self-esteem (Rosenberg Self-Esteem Scale), satisfaction with care (CSQ4), anxiety and depression (HADS). Scores were compared per clinical group and data were analyzed via structural equation modeling (SEM) to calculate prediction and mediation models. Results Data of 903 individuals were included in this study (Turner syndrome (n = 284), 46, XY DSD (n = 233), CAH (n = 206) and Klinefelter syndrome (n = 180)). Participants were moderately open on their condition. High levels of both anxiety and depression were observed across the sample. In SEM analysis, the tested models predicted 25% of openness, 31% of anxiety and 48% of depression. More condition openness directly predicted lower anxiety and depression symptoms, as well as indirectly through increased self-esteem, self-satisfaction and satisfaction with social support. Conclusions Condition openness is associated with lower anxiety and depression in individuals with an intersex/DSD condition. Healthcare may provide the necessary knowledge and skills to employ one's optimal level of self-disclosure in order to improve mental health.

scholarly journals Addressing Depression Symptoms among University Students under COVID-19 Restrictions—The Mediating Role of Stress and the Moderating Role of Resilience

2021 ◽  
Vol 18 (23) ◽  
pp. 12752
Author(s):  
Chang Liu ◽  
Melinda McCabe ◽  
Sebastian Kellett-Renzella ◽  
Shruthi Shankar ◽  
Nardin Gerges ◽  
...  
Keyword(s):  
Mental Health ◽  
University Students ◽  
Social Isolation ◽  
Perceived Stress ◽  
Structural Equation ◽  
Depression Symptoms ◽  
Targeted Interventions ◽  
Mediating Role ◽  
Moderating Role

Background: The COVID-19 pandemic has contributed to a decline in mental health globally. Compared to the general population, university students have been identified as a group vulnerable to developing depression symptoms during the pandemic. Social isolation, a signature mental health consequence under physical-distancing regulations, is a known predictor of depression symptoms during the pandemic. Yet, more research is required to understand the mechanism that underpins the isolation–depression association and identify psychological factors that may attenuate the association. The current study aimed to understand the role of stress and resilience in the isolation–depression association among university students. Methods: Data were collected from 1718 university students between 28 and 31 May 2020. Partial least squares structural equation modelling (PLS-SEM) was used to examine the mediating role of perceived stress and the moderating role of resilience in the isolation–depression association. Results: We found that perceived stress partially mediated the association between social isolation and depression symptoms. Both the direct and indirect effects were moderated by participants’ resilience levels. Conclusions: Social isolation during the pandemic may contribute to depression symptoms both directly and through elevated stress levels. As an internal strength, resilience may buffer the adverse effects of isolation and stress on depression symptoms. Targeted interventions including mindfulness and physical exercise training may provide promising results in reducing depression symptoms among university students and should be considered by university administrators particularly during times of imposed physical-distancing measures.

scholarly journals Experiences of discrimination and self-reported health in Chinese migrants: a structural equation model

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Lian Tong ◽  
Ichiro Kawachi
Keyword(s):  
Social Integration ◽  
Perceived Stress ◽  
Structural Equation ◽  
Sampling Procedure ◽  
Equation Model ◽  
Dynamic Monitoring ◽  
Equation Modeling ◽  
Internal Migrants ◽  
Reported Health ◽  
Positive Correlations

Abstract Background Many migrants suffer from discrimination and poor health in China. We sought to examine the associations between experiences of discrimination and self-reported health among internal migrants in China, as well as the mediators of social integration and perceived stress. Methods The data was obtained from a specific survey of migrants, as a part of the National Health and Family Planning Dynamic Monitoring for Migrants conducted in 2014. A total of 15,999 migrants aged 15 to 59 years were recruited by a stratified, multistage clustered sampling procedure in eight Chinese cities. Structural Equation Modeling (SEM) was conducted. Results The results indicated that experiences of discrimination were associated with worse self-reported health (β = − 0.32, P < 0.001), less social integration (β = − 0.25, P < 0.001), as well as higher perceived stress (β = 0.21, P < 0.01). Both objectively measured socioeconomic status (β = 0.21, P < 0.001) and subjective social status (β = 0.21, P < 0.01) had significantly positive correlations with self-reported health. Conclusions The discrimination, social exclusion and perceived stress experienced by migrants have significant implications on their health.

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