Psychosocial Factors Affecting Drug Relapse among Youth in Punjab, Pakistan.

The present study was intended to examine the effect of psychosocial factors on the stigma of mental illness among people addicted to drugs who have relapsed in Punjab, Pakistan. A sample composed of 116 people addicted to drugs and who have relapsed was collected through the purposive sampling technique. Certain self-report measures were used to assess the pertinent study variables. The results elucidated that self-efficacy, social support, and conscientiousness were found to be negative predictors and neuroticism a positive predictor of stigma. The results also confirmed social support as being a significant moderator in the relationship between self-efficacy and stigma, and self-efficacy as being a significant moderator in the relationship between social support and stigma. It was safe to conclude that psychosocial factors such as self-efficacy, social support, personality traits and stigma have a significant role in causing addiction relapse. The conclusions made have been discussed thoroughly.

Pandemic boredom: Little evidence that lockdown-related boredom affects risky public health behaviors across 116 countries.

Some public officials have expressed concern that policies mandating collective public health behaviors (e.g., national/regional "lockdown") may result in behavioral fatigue that ultimately renders such policies ineffective. Boredom, specifically, has been singled out as one potential risk factor for noncompliance. We examined whether there was empirical evidence to support this concern during the COVID-19 pandemic in a large cross-national sample of 63,336 community respondents from 116 countries. Although boredom was higher in countries with more COVID-19 cases and in countries that instituted more stringent lockdowns, such boredom did not predict longitudinal within-person decreases in social distancing behavior (or vice versa; n = 8,031) in early spring and summer of 2020. Overall, we found little evidence that changes in boredom predict individual public health behaviors (handwashing, staying home, self-quarantining, and avoiding crowds) over time, or that such behaviors had any reliable longitudinal effects on boredom itself. In summary, contrary to concerns, we found little evidence that boredom posed a public health risk during lockdown and quarantine. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Intentions to be Vaccinated Against COVID-19: The Role of Prosociality and Conspiracy Beliefs across 20 Countries.

Understanding the determinants of COVID-19 vaccine uptake is important to inform policy decisions and plan vaccination campaigns. The aims of this research were to: (1) explore the individual- and country-level determinants of intentions to be vaccinated against SARS-CoV-2, and (2) examine worldwide variation in vaccination intentions. This cross-sectional online survey was conducted during the first wave of the pandemic, involving 6697 respondents across 20 countries. Results showed that 72.9% of participants reported positive intentions to be vaccinated against COVID-19, whereas 16.8% were undecided, and 10.3% reported they would not be vaccinated. At the individual level, prosociality was a significant positive predictor of vaccination intentions, whereas generic beliefs in conspiracy theories and religiosity were negative predictors. Country-level determinants, including cultural dimensions of individualism/collectivism and power distance, were not significant predictors of vaccination intentions. Altogether, this study identifies individual-level predictors that are common across multiple countries, provides further evidence on the importance of combating conspiracy theories, involving religious institutions in vaccination campaigns, and stimulating prosocial motives to encourage vaccine uptake.

Perceived stigma, discrimination and psychological problems among patients with epilepsy.

Objective: The current study sought to investigate the effects of perceived stigma and discrimination on epilepsy patients' psychological problems, such as depression, anxiety, and quality of life. Study design: A purposive sampling technique was used in this cross-sectional study. Materials and methods: The sample consisted of 186 patients with epilepsy. The Stigma Scale, Depression Anxiety Stress Scale, and Quality of life in Epilepsy-10 were used to measure the study variables. Results: Findings showed that both the perception of stigma and discrimination have a significant positive correlation with depression as well as anxiety. Stigma is a significant positive predictor of depression and anxiety at [F (1, 184) = 27.8, 15.92, p < 0.001, 0.001, respectively] and explains 12.7 and 7.5% variance that could be attributed to Stigma. Stigma is also a significant predictor of quality of life at [F (1, 184) = 16.10, p < 0.001] and explains the 7.5% variance that could be attributed to Stigma. Results also indicate that discrimination is a significant positive predictor of depression and anxiety at [F (1, 184) = 32.39, 19.91, p < 0.001] and explains 15 and 9.8 % variance, respectively, that could be attributed to Stigma. However, stigma negatively predicts quality of life at [F (1, 184) = 20.34, p < 0.001] and explains 10 % variance. Non-significant differences were found in all the demographic variables (i.e., gender, socio-economic status, and disease duration), except the quality of life was significantly high among individuals with high Socio-economic status. Conclusions: Stigma is significantly higher in epileptic patients and has a detrimental effect on the patient's quality of life, recovery, and prognosis. Thus, there is undoubtedly a need to address psychological issues, most notably the stigma associated with illnesses. Psychologists, psychiatrists, other physicians, and care givers of epileptic patients must pay close attention to the stigma in this patient population.

When workaholism is negatively associated with burnout: A moderated mediation.

Aim: Previous theory and research postulate that workaholism is one of the important factors that contribute to burnout. The present study aimed to analyze the role of psychological capital as a mediator between the two. Moreover, the study examined the moderating role in the stated mediated relationship. Methods: The researchers approached a sample of university teachers (N = 1,008) including both male (n = 531) and female (n = 477) university teachers by using a multi-stage random sampling technique. For this purpose, DUWAS-10 Oldenburg Burnout Inventory, Challenging Job Demands Scale, and Anila PsyCap Scale were applied to measure workaholism, burnout, challenging job demands, and PsyCap, respectively. The data obtained from the sample was subjected to analysis by using Model 14 of Process Macro by Hayes. Results: The results confirmed the mediating role of PsyCap and moderating role of time pressure and cognitive demands in the relationship of the two variables. The results concluded that workaholism is not directly related to burnout rather the negative relationship existed through psychological capital, and the mediated relationship was stronger for the university employees who were to face a higher level of challenging job demands including cognitive demands and time pressure. Conclusion: Burnout is an occupational health problem that causes devastating effects on both the employees as well as to the organizational economy. Improving personal resources might help the negative relationship between workaholism and burnout in higher education institutions in the country.

Relationship between Health-Anxiety and Cyberchondria: Role of Metacognitive Beliefs.

PURPOSE: The current study was designed to examine the relationship between health anxiety, cyberchondria (its constructs), and metacognitive beliefs. In addition, it also evaluated the moderating role of metacognitive beliefs in this relationship. DESIGN AND METHOD: The present study used the purposive sampling technique to acquire a sample of (N = 500) adults, among them (N = 256) women and (N = 244) men, and the age of the sample ranged from 20 to 50 years. Short Health Anxiety Inventory, Cyberchondria Severity Scale, and Metacognitions Questionnaire-Health Anxiety were used to operationalize the present study variables. FINDINGS: The descriptive statistics revealed that all instruments have good psychometric properties, as Cronbach's alpha coefficients for all scales are ≥0.70. In addition to this, the Pearson correlation showed that all variables of the present study have a significant positive correlation with each other. Furthermore, the regression analysis described that health anxiety and metacognitive beliefs (biased thinking and beliefs about uncontrollable thoughts) were the significant positive predictors of cyberchondria. Moreover, moderation analysis showed that metacognitive beliefs significantly strengthened the association between health anxiety and cyberchondria and its constructs. PRACTICAL IMPLICATIONS: The present study will help medical practitioners to understand how metacognitive beliefs and health anxiety can cause an increase in cyberchondria. This will help them to design better treatment plans for people with cyberchondria.

Using machine learning to identify important predictors of COVID-19 infection prevention behaviors during the early phase of the pandemic.

Before vaccines for coronavirus disease 2019 (COVID-19) became available, a set of infection-prevention behaviors constituted the primary means to mitigate the virus spread. Our study aimed to identify important predictors of this set of behaviors. Whereas social and health psychological theories suggest a limited set of predictors, machine-learning analyses can identify correlates from a larger pool of candidate predictors. We used random forests to rank 115 candidate correlates of infection-prevention behavior in 56,072 participants across 28 countries, administered in March to May 2020. The machine-learning model predicted 52% of the variance in infection-prevention behavior in a separate test sample-exceeding the performance of psychological models of health behavior. Results indicated the two most important predictors related to individual-level injunctive norms. Illustrating how data-driven methods can complement theory, some of the most important predictors were not derived from theories of health behavior-and some theoretically derived predictors were relatively unimportant.

COVID-19 stressors and health behaviors: A multilevel longitudinal study across 86 countries.

Anxiety associated with the COVID-19 pandemic and home confinement has been associated with adverse health behaviors, such as unhealthy eating, smoking, and drinking. However, most studies have been limited by regional sampling, which precludes the examination of behavioral consequences associated with the pandemic at a global level. Further, few studies operationalized pandemic-related stressors to enable the investigation of the impact of different types of stressors on health outcomes. This study examined the association between perceived risk of COVID-19 infection and economic burden of COVID-19 with health-promoting and health-damaging behaviors using data from the PsyCorona Study: an international, longitudinal online study of psychological and behavioral correlates of COVID-19. Analyses utilized data from 7,402 participants from 86 countries across three waves of assessment between May 16 and June 13, 2020. Participants completed self-report measures of COVID-19 infection risk, COVID-19-related economic burden, physical exercise, diet quality, cigarette smoking, sleep quality, and binge drinking. Multilevel structural equation modeling analyses showed that across three time points, perceived economic burden was associated with reduced diet quality and sleep quality, as well as increased smoking. Diet quality and sleep quality were lowest among respondents who perceived high COVID-19 infection risk combined with high economic burden. Neither binge drinking nor exercise were associated with perceived COVID-19 infection risk, economic burden, or their interaction. Findings point to the value of developing interventions to address COVID-related stressors, which have an impact on health behaviors that, in turn, may influence vulnerability to COVID-19 and other health outcomes.

Predictors of adherence to public health behaviors for fighting COVID-19 derived from longitudinal data.

The present paper examines longitudinally how subjective perceptions about COVID-19, one's community, and the government predict adherence to public health measures to reduce the spread of the virus. Using an international survey (N = 3040), we test how infection risk perception, trust in the governmental response and communications about COVID-19, conspiracy beliefs, social norms on distancing, tightness of culture, and community punishment predict various containment-related attitudes and behavior. Autoregressive analyses indicate that, at the personal level, personal hygiene behavior was predicted by personal infection risk perception. At social level, social distancing behaviors such as abstaining from face-to-face contact were predicted by perceived social norms. Support for behavioral mandates was predicted by confidence in the government and cultural tightness, whereas support for anti-lockdown protests was predicted by (lower) perceived clarity of communication about the virus. Results are discussed in light of policy implications and creating effective interventions.

Correction: Politicization of COVID-19 health-protective behaviors in the United States: Longitudinal and cross-national evidence.

[This corrects the article DOI: 10.1371/journal.pone.0256740.].

Concern with COVID-19 pandemic threat and attitudes towards immigrants: The mediating effect of the desire for tightness.

Tightening social norms is thought to be adaptive for dealing with collective threat yet it may have negative consequences for increasing prejudice. The present research investigated the role of desire for cultural tightness, triggered by the COVID-19 pandemic, in increasing negative attitudes towards immigrants. We used participant-level data from 41 countries (N = 55,015) collected as part of the PsyCorona project, a cross-national longitudinal study on responses to COVID-19. Our predictions were tested through multilevel and SEM models, treating participants as nested within countries. Results showed that people's concern with COVID-19 threat was related to greater desire for tightness which, in turn, was linked to more negative attitudes towards immigrants. These findings were followed up with a longitudinal model (N = 2,349) which also showed that people's heightened concern with COVID-19 in an earlier stage of the pandemic was associated with an increase in their desire for tightness and negative attitudes towards immigrants later in time. Our findings offer insight into the trade-offs that tightening social norms under collective threat has for human groups.

Lockdown Lives: A Longitudinal Study of Inter-Relationships Among Feelings of Loneliness, Social Contacts, and Solidarity During the COVID-19 Lockdown in Early 2020.

We examine how social contacts and feelings of solidarity shape experiences of loneliness during the COVID-19 lockdown in early 2020. From the PsyCorona database, we obtained longitudinal data from 23 countries, collected between March and May 2020. The results demonstrated that although online contacts help to reduce feelings of loneliness, people who feel more lonely are less likely to use that strategy. Solidarity played only a small role in shaping feelings of loneliness during lockdown. Thus, it seems we must look beyond the current focus on online contact and solidarity to help people address feelings of loneliness during lockdown. Finally, online contacts did not function as a substitute for face-to-face contacts outside the home-in fact, more frequent online contact in earlier weeks predicted more frequent face-to-face contacts in later weeks. As such, this work provides relevant insights into how individuals manage the impact of restrictions on their social lives.

'We are all in the same boat': How societal discontent affects intention to help during the COVID-19 pandemic.

The coronavirus disease 2019 (COVID-19) pandemic has caused a global health crisis. Consequently, many countries have adopted restrictive measures that caused a substantial change in society. Within this framework, it is reasonable to suppose that a sentiment of societal discontent, defined as generalized concern about the precarious state of society, has arisen. Literature shows that collectively experienced situations can motivate people to help each other. Since societal discontent is conceptualized as a collective phenomenon, we argue that it could influence intention to help others, particularly those who suffer from coronavirus. Thus, in the present study, we aimed (a) to explore the relationship between societal discontent and intention to help at the individual level and (b) to investigate a possible moderating effect of societal discontent at the country level on this relationship. To fulfil our purposes, we used data collected in 42 countries (N = 61,734) from the PsyCorona Survey, a cross-national longitudinal study. Results of multilevel analysis showed that, when societal discontent is experienced by the entire community, individuals dissatisfied with society are more prone to help others. Testing the model with longitudinal data (N = 3,817) confirmed our results. Implications for those findings are discussed in relation to crisis management. Please refer to the Supplementary Material section to find this article's Community and Social Impact Statement.

Politicization of COVID-19 health-protective behaviors in the United States: Longitudinal and cross-national evidence.

During the initial phase of the COVID-19 pandemic, U.S. conservative politicians and the media downplayed the risk of both contracting COVID-19 and the effectiveness of recommended health behaviors. Health behavior theories suggest perceived vulnerability to a health threat and perceived effectiveness of recommended health-protective behaviors determine motivation to follow recommendations. Accordingly, we predicted that-as a result of politicization of the pandemic-politically conservative Americans would be less likely to enact recommended health-protective behaviors. In two longitudinal studies of U.S. residents, political conservatism was inversely associated with perceived health risk and adoption of health-protective behaviors over time. The effects of political orientation on health-protective behaviors were mediated by perceived risk of infection, perceived severity of infection, and perceived effectiveness of the health-protective behaviors. In a global cross-national analysis, effects were stronger in the U.S. (N = 10,923) than in an international sample (total N = 51,986), highlighting the increased and overt politicization of health behaviors in the U.S.

Loneliness may mediate the relationship between depression and the quality of life among elderly with mild cognitive impairment.

BACKGROUND: Depression and mild cognitive impairment (MCI) are often comorbid mental health issues in older adults. The current study explored the prospective mediating role of loneliness in the relationship between depression and the quality of life in elderly with MCI. A second aim was to examine differences in depression, loneliness, and the quality of life in the elderly with MCI among gender groups, and type of residence groups. METHODS: A cross-sectional survey with purposive sampling was used. Older adults with MCI (N = 170) from old age homes in Lahore and Rawalpindi (n = 82) and family residences in Sargodha (n = 88) in Pakistan completed UCLA Loneliness Scale, Depression Anxiety Stress Scale, and Mild Cognitive Impairment Scale. RESULTS: Most of the participants had severe to extreme depression (98.2%), and moderate to moderately high levels of loneliness (85.3%). Depression was significantly associated with loneliness (b = 0.29, P < 0.05) and poor quality of life in MCI (b = 0.49, P < 0.001). The indirect effect of depression on the quality of life in MCI through loneliness was significant (95% confidence interval (CI) [0.002, 0.156]). However, the indirect effect of quality of life in MCI on depression through loneliness was not significant (95% CI [-0.001, 0.043]). The elderly with MCI living in old age homes had higher depression, loneliness, and poor quality of life. Elderly women had higher levels of depression and poor quality of life, whereas older men were lonelier. CONCLUSION: The relationship between depression and quality of life in the elderly with MCI may be bidirectional, and loneliness partially mediates only one of these relationships.

Lives versus Livelihoods? Perceived economic risk has a stronger association with support for COVID-19 preventive measures than perceived health risk.

This paper examines whether compliance with COVID-19 mitigation measures is motivated by wanting to save lives or save the economy (or both), and which implications this carries to fight the pandemic. National representative samples were collected from 24 countries (N = 25,435). The main predictors were (1) perceived risk to contract coronavirus, (2) perceived risk to suffer economic losses due to coronavirus, and (3) their interaction effect. Individual and country-level variables were added as covariates in multilevel regression models. We examined compliance with various preventive health behaviors and support for strict containment policies. Results show that perceived economic risk consistently predicted mitigation behavior and policy support-and its effects were positive. Perceived health risk had mixed effects. Only two significant interactions between health and economic risk were identified-both positive.