moderator effects
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2021 ◽  
Vol 12 ◽  
Author(s):  
Lili Wu ◽  
Fangyuan Ding ◽  
Tianqiang Hu ◽  
Gang Cheng ◽  
Xiaoyu Chen

Grounded in the stress-coping model, our study examined family functioning and the classroom environment as protective factors in the relationship between daily stress and behavioral problems in Chinese children. The participants were 1,450 children (51.7% male, Mage = 10.91 years, SD = 0.96) in the fourth, fifth, and sixth grades at five schools. The children completed the questionnaires measuring daily stress, family functioning, and the classroom environment. Additionally, their parents rated their behavioral problems. The latent moderated structural (LMS) equation approach was used to test moderator effects. After controlling for sex and grade, our results indicate that daily stress positively predicted the children’s behavioral problems. Both family functioning and the classroom environment moderated the relationship between daily stress and behavioral problems. Further assessment of latent interaction effects indicate that buffering effects on behavioral problems were most prominent in conditions involving low stress. In sum, families and schools should not ignore children’s minor stressors, as interventions involving family functioning and favorable classroom environments may help to reduce behavioral problems in children who report low levels of daily stress.


2021 ◽  
Author(s):  
Ruben C. Arslan ◽  
Julie C Driebe ◽  
Julia Stern ◽  
Tanja M. Gerlach ◽  
Lars Penke

In Arslan et al. (2018), we reported ovulatory increases in extra-pair sexual desire, in-pair sexual desire, and self-perceived desirability, as well as several moderator analyses related to the good genes ovulatory shift hypothesis, which predicts attenuated ovulatory increases in extra-pair desire for women with attractive partners. Gangestad and Dinh (2021) identified errors in how we aggregated two out of four main moderator variables. We are grateful that their scrutiny uncovered these errors. After corrections, our moderation results are more mixed than we previously reported and depend on the moderator specification. However, we disagree that the evidence for moderation is robust and compelling, as Gangestad and Dinh (2021) claim. Our data are consistent with some previously reported effect sizes, but also with negligible moderator effects. We also show that what Gangestad and Dinh (2021) call an "a priori [...] more comprehensive and valid composite" is poorly justifiable on a priori grounds, and follow-up analyses they report are not robust to a composite specification that we consider at least as reasonable. Psychologists have to become acquainted with techniques such as cross-validation or training and test sets to manage the risks of data-dependent analyses. In doing so, we might learn that we need new data more often than we intuit and should remain uncertain far more often.


2021 ◽  
Vol 33 (S1) ◽  
pp. 65-66
Author(s):  
Ine Declercq ◽  
Ruslan Leontjevas ◽  
Susan Van Hooren ◽  
Debby Gerritsen

AbstractBackground:Depression is common among long term care (LTC) residents and has a considerable impact on their quality of life. Therefore, there has been an increased interest in interventions aiming at the reduction of depression among LTC residents. These interventions could be described as formal depression care and include psychosocial interventions (e.g., Creative Arts Interventions), psychotherapeutic interventions (e.g., Life Review) and/or (neuro-)biological interventions (e.g., psychopharmacotherapy). Previous research on the effectiveness of formal depression care suggests that treatments should be more individually tailored. Tailoring treatments, however, is a time- consuming process which may hinder the implementation in LTC. A more integrative approach targeting specific groups of nursing home residents is therefore preferred and may benefit both residents and staff. To do so, insight in moderator effects is needed to better understand and better match treatments to specific groups of LTC residents.Objectives:The aim of this study is to provide insight into (1) the effectiveness of interventions, (2) the influence of residents’ characteristics (e.g., residents with cognitive impairment versus residents with physical disabilities) and/or (3) the influence of contextual factors (e.g., group-based versus individual therapy) which may have an impact on the effectiveness of interventions.Eligibility criteria:Various databases (e.g., EBSCO, PubMed, COHRANE Library) are searched using a predefined search string, combining terms concerning our PICO elements (e.g., “Nursing Home Residents” (P), “Treatment” (I), “Depression” (O)). We only include a) randomized controlled trials investigating the use of formal depression treatments (independent variable), b) among LTC residents and, c) having used a standardized measurement tool for, d) depression (dependent variable). Results of this systematic search will be presented.Method of synthesis:Eligible studies will further be screened and assessed for residents’ characteristics and/or contextual factors. A random-effects model will be used to calculate the pooled standardized mean difference (SMD) and to assess the strength of the effects of formal depression treatments on depression. Further subgroup-analysis and meta-regressions will be used to assess the potential moderator effects.Conclusion:To better match treatments to LTC residents, more insight into the effectiveness, moderator effects and core components of the applied interventions is needed.


2021 ◽  
Vol 11 (9) ◽  
pp. 1192
Author(s):  
Arianna Vecchio ◽  
Vilfredo De Pascalis

This study evaluates the modulation of phasic pain and empathy for pain induced by placebo analgesia during pain and empathy for pain tasks. Because pain can be conceptualized as a dangerous stimulus that generates avoidance, we evaluated how approach and avoidance personality traits modulate pain and empathy for pain responses. We induced placebo analgesia to test whether this also reduces self-pain and other pain. Amplitude measures of the N1, P2, and P3 ERPs components, elicited by electric stimulations, were obtained during a painful control, as well as during a placebo treatment expected to induce placebo analgesia. The placebo treatment produced a reduction in pain and unpleasantness perceived, whereas we observed a decrease in the empathy unpleasantness alone during the empathy pain condition. The moderator effects of the fight-flight-freeze system (FFFS) in the relationships linking P2 and P3 amplitude changes with pain reduction were both significant among low to moderate FFFS values. These observations are consistent with the idea that lower FFFS (active avoidance) scores can predict placebo-induced pain reduction. Finally, in line with the revised Reinforcement Sensitivity Theory (r-RST), we can assume that phasic pain is an aversive stimulus activating the active-avoidance behavior to bring the system back to homeostasis.


Methodology ◽  
2021 ◽  
Vol 17 (2) ◽  
pp. 92-110
Author(s):  
Nianbo Dong ◽  
Jessaca Spybrook ◽  
Benjamin Kelcey ◽  
Metin Bulus

Researchers often apply moderation analyses to examine whether the effects of an intervention differ conditional on individual or cluster moderator variables such as gender, pretest, or school size. This study develops formulas for power analyses to detect moderator effects in two-level cluster randomized trials (CRTs) using hierarchical linear models. We derive the formulas for estimating statistical power, minimum detectable effect size difference and 95% confidence intervals for cluster- and individual-level moderators. Our framework accommodates binary or continuous moderators, designs with or without covariates, and effects of individual-level moderators that vary randomly or nonrandomly across clusters. A small Monte Carlo simulation confirms the accuracy of our formulas. We also compare power between main effect analysis and moderation analysis, discuss the effects of mis-specification of the moderator slope (randomly vs. non-randomly varying), and conclude with directions for future research. We provide software for conducting a power analysis of moderator effects in CRTs.


2021 ◽  
Vol 23 (2) ◽  
pp. 264-274
Author(s):  
Varun Kapoor ◽  
Vikrant Tomar ◽  
Priti Bakhshi ◽  
Manisha Shukla ◽  
Vijay Kumar

This article highlights the support, attitude and perception of the general public towards drug abuse so that appropriate policies can be framed for the prevention of drug abuse among youth. The study aims to understand the relationship among variables influencing behaviour change with respect to drug abuse. Questionnaire from 1,159 respondents was administered comprising of 39 items exploring Perception, Attitude, Support pertaining to illicit drugs. Positive or negative attitude towards drug abuse is evolved out of the perception of problems associated with drug abuse and the support provided to dissuade drug-abusing behaviour, and relationship among these variables was tested using SEM-Path analysis. The perception of problems related to drug addiction significantly influences the attitude towards drug addiction. The perceived nature of the support structure augments the influence further (partial mediation). The augmenting effect of the support structure can be seen among gender, age and education. Moderator effects of age, gender and education were studied by estimating multi-group path coefficients. This article is useful to local government as they may take some of the findings of this article for framing policy related to educating youth related to drugs, creating a campaign regarding the harm of drug abuse and involving those volunteers in drug assistance programmes that are more supportive of drug addicts. This article is helpful for society to make them understand that their positive attitude and support towards drug abuse will give a second chance to drug addicts to leave drugs and live a normal life again.


Author(s):  
Orhan Koçak ◽  
Ömer Erdem Koçak ◽  
Mustafa Z. Younis

The COVID-19 virus has become a fearful epidemic for people all over the world. In Turkey, long quarantine periods and curfews have increased both physical and psychological problems. Due to the rapid spread and substantial impact of the COVID-19 virus, different psychological effects were observed among different segments of society, such as among young people, elderly people, and active workers. Because of fear caused by the COVID-19 virus, it is thought that depression, stress, and anxiety levels have increased. It is estimated that there are more psychological issues for people with poor health and others whose friends or family became ill or have died because of COVID-19. To explore and test the situation mentioned above, we conducted a cross-sectional study in Turkey with 3287 participants above 16 years old. We measured COVID-19 fear, along with anxiety, stress, and depression levels (DASS21) and demographics. Firstly, we tested whether COVID-19 fear predicts stress, anxiety, and depression. Secondly, we investigated if the effect of COVID-19 fear is stronger for those who have underlying illness and for those whose friends or family became ill or have died because of COVID-19. The results showed that women and 16–25 years old youths have higher COVID-19-related fear, anxiety, depression, and stress. Furthermore, we found a significant relationship between COVID-19 fear and stress, anxiety, and depression, as well as significant moderation effects of having an underlying illness and having friends or family who were infected or have died. These results show the importance of implementing specific implementations, particularly for vulnerable groups, to minimize the psychological problems that may arise with the pandemic.


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