Trajectories of resilience among widows: a latent transition model

Change in resilience among spousal caregivers of patients with newly-diagnosed advanced cancer over the first six months posttreatment in China

OBJECTIVE

A longitudinal observational study was conducted and aimed to examine the change in resilience among spousal caregivers of newly-diagnosed advanced cancer patients over the first six months after initial treatment.

METHODS

In total, 312 Chinese spousal caregivers who were taking care of their patients with newly-diagnosed advanced cancer were recruited. The level of resilience was measured using the Connor-Davidson Resilience Scale at the first month post-initial treatment (T1), three-month post-initial treatment (T2), and six-month post-initial treatment (T3). Latent growth modeling analyses were performed to examine changes in resilience using Mplus 8.3.

RESULTS

The mean scores of resilience in spousal caregivers were 54.01 ± 7.68 at T1, 56.20 ± 6.38 at T2, and 57.97 ± 6.70 at T3, respectively. Results of latent growth modeling indicated that spousal caregivers showed a significant increase in their resilience scores over the first six months post-treatment (Mean slope = 1.98, p < 0.001). Furthermore, a significant individual variation in the rate of changes in resilience scores allowed spouses to be categorized into two groups: 42.9% participants with fast growth and 57.1% participants with slight growth.

CONCLUSION

Our findings highlight the importance that new knowledge about change patterns of resilience in the nursing field is beneficial to reveal different psychosomatic health. Acknowledging that resilience is a dynamic process that changes over time, it is crucial for healthcare providers to monitor the psychological adjustment and focus of vulnerable caregivers, particularly spouses.

Trajectories of psychological adaptation to Chinese older internal migrants: a latent transition model

OBJECTIVES

Little is known about the heterogeneity and transitions between psychological adaptation patterns in Chinese older internal migrants. This study addressed two questions: (a) Do distinct patterns of psychological adaptation exist among Chinese older internal migrants? (b) If so, what factors predict different trajectories?

METHOD

The study drew on two waves of data and involved 405 older internal migrants into Nanjing, China. First, a latent transition analysis was performed to visualize the different patterns of psychological adaptation. Second, an ecological model of resilience was used to identify the factors explaining the differences between adaptation patterns.

RESULTS

Three main trajectories of psychological adaptation among Chinese older internal migrants over time were: recovery, stability and deterioration. Adaptation trajectories were associated with age, gender, length of stay, psychological resilience, self-esteem, family support, social participation, and living with a spouse.

CONCLUSION

Chinese older internal migrants undertake heterogeneous psychological adaptation trajectories, and their positive adaptation is closely associated with coping resources. Our data may provide references for the identification of vulnerable older internal migrants, as well as the making of targeted interventions.

The Impact of Social Media on Users' Self-Efficacy and Loneliness: An Analysis of the Mediating Mechanism of Social Support

Purpose

The integration of social media into all areas of society has become a typical phenomenon of the Internet era. This study's core objective is to dissect the relationship between social media, self-efficacy and loneliness, especially emphasizing the mediating function of social support.

Patients and Methods

The research data is derived from the pooled cross-sectional data combined from the four-period data of the China Family Panel Studies (CFPS). The study employs Ordinary Least Squares (OLS) regression as the basic research method, and utilizes Instrumental Variables (IV) and other methods to conduct robustness checks.

Results

Social media usage frequency (SMUF) enhances self-efficacy and loneliness through social support. Social support promotes self-efficacy and alleviates users' loneliness. In self-efficacy, social support plays a fully mediating role. Moreover, education (human capital) has a significant moderating effect. There are noticeable differences in the response of different characteristics groups to SMUF.

Conclusion

This study reveals how social media impacts self-efficacy and loneliness through social support. Based on the research results, avoiding prolonged usage of social media and improving digital literacy are the crucial means to exert the positive benefits of social media.

Exploring Resilience in Care Home Nurses: An Online Survey

Resilience is considered a core capability for nurses in managing workplace challenges and adversity. The COVID-19 pandemic has brought care homes into the public consciousness; yet, little is known about the resilience of care home nurses and the attributes required to positively adapt in a job where pressure lies with individuals to affect whole systems. To address this gap, an online survey was undertaken to explore the levels of resilience and potential influencing factors in a sample of care home nurses in Northern Ireland between January and April 2022. The survey included the Connor-Davidson Resilience Scale, demographic questions and items relating to nursing practice and care home characteristics. Mean differences and key predictors of higher resilience were explored through statistical analysis. A moderate level of resilience was reported among the participants (n = 56). The key predictors of increased resilience were older age and higher levels of education. The pandemic has exposed systemic weakness but also the strengths and untapped potential of the care home sector. By linking the individual, family, community and organisation, care home nurses may have developed unique attributes, which could be explored and nurtured. With tailored support, which capitalises on assets, they can influence a much needed culture change, which ensures the contribution of this sector to society is recognised and valued.

Dynamic changes in resilience among family caregivers in the face of healthcare challenges: A scoping review

BACKGROUND

Resilience as a dynamic concept has already been described through various longitudinal studies. To better understand the changes in the resilience of caregivers over the course of care-providing, however, a scoping review can provide a clearer picture of their resilience process which, in turn, can be used to improve caregivers' well-being.

OBJECTIVES

To provide a comprehensive overview of dynamic change in the resilience of caregivers while caring for the family to enhance understanding and potential for future research.

METHODS

Following the methodological framework of Arksey and O'Malley, this scoping review was conducted using the Preferred Reporting Items for Systematic Reviews and the Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) Checklist. Five electronic databases were searched for research published in English between January 2012 and May 2022, after which a manual search was performed. Key terms related to resilience and caregivers in longitudinal studies were included and screened for. Identified trajectories of patterns in resilience and factors associated with resilience process were categorized using content analysis.

RESULTS

In total, 24 longitudinal studies met the eligibility criteria. Conceptually, our findings demonstrate three modes of change following healthcare challenges, each of which varies substantially. Methodologically, the results reveal three subcategories of assessment tools that can be used to impact caregivers' resilience when confronted with significant healthcare challenges. Consequentially, personal traits and environmental resources interacting with the resilience process will then lead to various outcomes in their resilience, including stability, growth, or decline.

CONCLUSION

This review describes the change patterns of the resilience process, assessment instruments, and associated factors to offer a dynamic perspective for the investigation and intervention of psychological resilience. Major gaps nonetheless remain for future research regarding an operationalizing dynamic change in resilience.

Trajectories of Instrumental and Emotional Social Support and the Associated Risk of Mortality in Bereaved Older Adults in Taiwan

This study identified the trajectories of instrumental and emotional perceived social support (PSS) from 1996 to 2003 and investigated the associated risk of mortality in bereaved older adults in Taiwan. The study analyzed 1,188 bereaved older adults who had experienced loss of a spouse, a child, or both before 1996 from the Taiwan Longitudinal Study on Aging. More favorable trajectories of PSS are associated with lower mortality risk in bereaved older adults. Compared with the spousal or dual bereavement, the parental bereavement benefited more from consistently high instrumental PSS. The present study revealed that consistently high emotional PSS had a stronger protective effect on mortality risk for a widow or widower than did consistently high instrumental support. The findings of this study can serve as an empirical reference to inform social policies and clinical practices for bereaved older adults in culturally similar societies.

Caregiving, volunteering, and loneliness in middle-aged and older adults: a systematic review

OBJECTIVES

Older adults contribute vast amounts of care to society, yet it remains unclear how unpaid productive activities relate to loneliness. The objective of this systematic review is to synthesise the evidence for associations between midlife and older people's unpaid productive activities (i.e., spousal and grandparental caregiving, volunteering) and loneliness.

METHODS

Peer-reviewed observational articles that investigated the association between loneliness and caregiving or volunteering in later life (>50 years) were searched on electronic databases (Ovid MEDLINE, Embase, PsychInfo and Global Health) from inception until July 2021. Studies were analysed using narrative synthesis and assessed for methodological quality applying the Newcastle Ottawa Scale.

RESULTS

A total of 28 articles from 21 countries with 191,652 participants were included (52.5% women). Results were separately discussed for the type of unpaid productive activity, namely, general caregiving (N = 10), spousal caregiving (N = 7), grandparental caregiving (N = 7), and volunteering (N = 6). Risk of bias assessments revealed a moderate to high quality of included studies. Loneliness was positively associated with spousal caregiving but negatively associated with caregiving to grandchildren and volunteering.

CONCLUSIONS

Grandparental caregiving and volunteering may be promising avenues for reducing loneliness in older age. Future studies will need to distinguish between different types of caregiving and volunteering and explore more complex longitudinal designs with diverse samples to investigate causal relationships with loneliness.

Latent class trajectory modelling: impact of changes in model specification

Latent class trajectory models (LCTMs) are often used to identify subgroups of patients that are clinically meaningful in terms of longitudinal exposure and outcome, e.g. drug response patterns. These models are increasingly applied in medicine and epidemiology. However, in many published studies, it is not clear whether the chosen models, where subgroups of patients are identified, represent real heterogeneity in the population, or whether any associations with clinically meaningful characteristics are accidental. In particular, we note an apparent over-reliance on lowest AIC or BIC values. While these are objective measures of goodness of fit, and can help identify the optimal number of subgroups, they are not sufficient on their own to fully evaluate a given trajectory model. Here we demonstrate how longitudinal latent class models can substantially change by making small modifications in model specification, and the impact of this on the relationship to clinical outcomes. We show that the predicted trajectory patterns and outcome probabilities differ when pre-specified cubic versus linear shapes are tested on the same data. However, both could be interpreted to be the "correct" model. We emphasise that LCTMs, like all unsupervised approaches, are hypotheses generating, and should not be directly implemented in clinical practice without significant testing and validation.

In good times and in bad: A longitudinal analysis of the impact of bereavement on self-esteem and life satisfaction in couples

This study examines the impact of bereavement on self-esteem and life satisfaction in both partners of a romantic couple. We investigate the moderating effects of the type of the lost relationship (close family, close friends/others) and romantic relationship characteristics (daily social support, responsiveness-closeness, self-disclosure). We examined 1238 individuals in 619 male–female couples from the ages 18 to 81 ( M [ SD] = 31.97 years [13.26]). Both partners completed questionnaires at two assessments that were 20 months ( SD = 2.02 months) apart, in between which n = 216 individuals were bereaved. Actor–partner interdependence models showed that bereavement did not predict later self-esteem or life satisfaction in either of the partners. The relationship characteristics and the type of lost relationship did not moderate the effects. The subjective meaning and distress of the loss predicted later self-esteem and life satisfaction. The self-esteem increase was larger for bereaved with a positive/neutral than for bereaved with a negative meaning of the bereavement. We found a partner effect on self-esteem for the group of bereaved who reported a negative meaning of the bereavement. The findings demonstrate that bereavement can impact romantic partners' self-esteem and that the subjective experience of bereavement helps understand individual differences in the effect of bereavement on self-esteem and life satisfaction.

Loneliness in Myanmar's older population: A mixed-methods investigation

OBJECTIVES

Little is known about loneliness in lower- and middle-income countries. This study investigates loneliness in the older population of Myanmar using a mixed-methods approach.

METHODS

To identify predictors of loneliness, hierarchical regression models were used to analyze data from the Myanmar Aging Survey 2012 (N = 3,618, 57% women). In a mixed-methods sequential explanatory design, quantitative data were integrated with qualitative data from semi-structured interviews with older adults in Myanmar in 2019.

RESULTS

The prevalence of loneliness varied by between-person characteristics. Health impairments, lower income, being widowed, not having children, and living with fewer household members were each associated with loneliness. Qualitative findings suggested that the physical presence of family members was especially protective against loneliness. Religion had mixed associations with loneliness, depending on the type of religious practice, demographic characteristics, health status, and community engagement.

DISCUSSION

The findings contribute to a better understanding of individuals' experiences of loneliness and may inform the design of interventions to prevent loneliness in Myanmar and globally.

Professional Support After Partner Loss: Likelihood and Correlates of Help-Seeking Behavior

Intimate partner loss in later life can be one of the most stressful events in adulthood. Individuals who struggle to adapt to the new life conditions may need support from a mental health professional. However, less is known about the likelihood to seek professional help after separation, divorce, or bereavement in later life and associated factors. This study investigated professional help-seeking (PHS) for partner loss after a long-term marriage in separated, divorced, and bereaved individuals and examined the extent to which specific person and event-related variables, as well as depressive symptoms, increase its likelihood. The data were derived from the LIVES "Intimate Partner Loss Study." The self-administered questionnaires were completed by 388 adults. PHS was higher after separation (57%) and divorce (49%), compared to widowhood (18%). Higher likelihood of PHS was associated with separation and divorce, female gender, having someone to count on, loss unexpectedness, needing more time to overcome the loss, and more depressive symptoms. Informing individuals unlikely to seek help (e.g., males, bereaved, and individuals with no confidant) about PHS benefits may facilitate adaptation to partner loss.

Associations of loneliness with risk of Alzheimer's disease dementia in the Framingham Heart Study

INTRODUCTION

The relationship between persistent loneliness and Alzheimer's disease (AD) is unclear. We examined the relationship between different types of mid-life loneliness and the development of dementia and AD.

METHODS

Loneliness was assessed in cognitively normal adults using one item from the Center for Epidemiologic Studies Depression Scale. We defined loneliness as no loneliness, transient loneliness, incident loneliness,or persistent loneliness, and applied Cox regression models and Kaplan-Meier plots with dementia and AD as outcomes (n = 2880).

RESULTS

After adjusting for demographics, social network, physical health, and apolipoprotein E ε4, persistent loneliness was associated with higher (hazard ratio [HR], 1.91; 95% confidence interval [CI] 1.25-2.90; P < .01), and transient loneliness with lower (HR, 0.34; 95% CI 0.14-0.84; P < .05), risk of dementia onset, compared to no loneliness. Results were similar for AD risk.

DISCUSSION

Persistent loneliness in mid-life is an independent risk factor for dementia and AD, whereas recovery from loneliness suggests resilience to dementia risk.

Factors impacting resilience as a result of exposure to COVID-19: The ecological resilience model

Despite the severe psychological impact of the COVID-19 pandemic, some individuals do not develop high levels of psychological distress and can be termed resilient. Using the ecological resilience model, we examined factors promoting or hindering resilience in the COVID-19 pandemic. Of the 1034 participants (49.9±16.2 years; females 51.2%) from Italian general population, 70% displayed resilient outcomes and 30% reported moderate-severe anxiety and/or depression. A binary regression model revealed that factors promoting resilience were mostly psychological (e.g., trait resilience, conscientiousness) together with social distancing. Conversely, factors hindering resilience included COVID-19-anxiety, COVID-19-related PTSD symptoms, intolerance of uncertainty, loneliness, living with children, higher education, and living in regions where the virus was starting to spread. In conclusion, the ecological resilience model in the COVID-19 pandemic explained 64% of the variance and identified factors promoting or hindering resilient outcomes. Critically, these findings can inform psychological interventions supporting individuals by strengthening factors associated with resilience.

Care of the adult cancer patient at the end of life: ESMO Clinical Practice Guidelines

•This ESMO Clinical Practice Guideline provides key recommendations for end-of-life care for patients with advanced cancer. •It details care that is focused on comfort, quality of life and approaching death of patients with advanced cancer. •All recommendations were compiled by a multidisciplinary group of experts. •Recommendations are based on available scientific data and the authors’ collective expert opinion.