A Successful Aging Model Based on Personal Resources, Self-Care, and Life Satisfaction

Significance of an Interprofessional Healthy Aging Program for Community-Dwelling Older Adults: A Narrative Study

Participation is widely recognized as an important health determinant for older adults. Exploring interventions to promote active participation of community-dwelling older adults is an important step in translating current knowledge into practice. Few studies have examined community-level interventions to support older adults' participation. The study purpose was to examine the significance of the lived experiences of community-dwelling older adults who participated in an interprofessional healthy aging promotion program. The specific aims were to uncover the narrative significance of the lived experiences and how they evolved and intertwined with the life histories of the older adults 2 years after the intervention ended. A narrative inquiry design was used. Four key informants participated in two semi-structured interviews and a member-checking process. The data were analyzed from a three-dimensional inquiry space of time and continuity, place and context, and social interactions. The findings affirmed three core threads that wove the participants' lived experiences within the program together with their life histories after the intervention. These were enjoyment, learning, and sharing. Four themes revealed the essential elements of the lived experience, and three others exposed participants' growth and life enrichment, all being fundamental to participation. The 3-year community-level intervention was valued and a novel opportunity for facilitating participation and successful aging. It allowed the participants to acquire an evolved vision of self, have meaningful interactions, develop the means to engage in future community activities, implement new self-care strategies, and establish memories and friendships significant for life participation.

Understanding Rumor Sharing Behavior During COVID-19: The Dominant Motivation and the Potential Consequences for Life Satisfaction

During the COVID-19 pandemic, rumors were shared widely and quickly, leading to unfortunate consequences. To explore the dominant motivation underlying such rumor sharing behavior and the potential consequences for sharers' life satisfaction, two studies were conducted. Study 1 was based on representative popular rumors that circulated throughout Chinese society during the pandemic to examine the dominant motivation underlying rumor sharing behavior. Study 2 employed a longitudinal design to further test the dominant motivation underlying rumor sharing behavior and its effects on life satisfaction. The results of these two studies generally supported our hypotheses that people chose to share rumors during the pandemic mainly for the purpose of fact-finding. Regarding the effects of rumor sharing behavior on life satisfaction, although sharing wish rumors (i.e., rumors expressing hopes) had no effect on sharers' life satisfaction, sharing dread rumors (i.e., rumors reflecting fears) and aggression rumors (i.e., rumors implying aggression and hatred) reduced sharers' life satisfaction. This research lends support to the integrative model of rumor and provides practical implications for mitigating the spread of rumors.

The Czech version of the life satisfaction index for the third age-short form (LSITA-SF12): Psychometric properties

BACKGROUND

Evaluation of life satisfaction of older people using standardised tools can play a crucial role in evaluating the effectiveness of policy measures aimed at mitigating the effects of population aging.

OBJECTIVES

The aim of the study was to verify the psychometric properties of the Czech version of a 12-item scale (the Life Satisfaction Index for the Third Age) for older people living in the community.

METHODS

The research involved 1113 older people from the Moravian-Silesian Region over 60 years of age living in a home environment. For the newly created Czech version of LSITA-SF12, we tested validity (construct validity and convergent validity) and reliability (internal consistency).

RESULTS

We confirmed a single-factor model for the LSITA-SF12 scale (χ²  = 71.33, p <  .001, CFI = 0.995, TLI = 0.994, RMSEA = 0.065, SRMR = 0.056, GFI = 0.999) by confirmatory factor analysis and load factor analysis (values of explorations ≥0.45). The internal consistency of the scale was satisfactory (α = 0.878). Furthermore, there was a medium correlation rate (r = 0.592; p <  .001) between the overall score of the LSITA-SF and quality-of-life score (OPQoL-Brief).

CONCLUSIONS

We found the Czech version of the LSITA-SF12 questionnaire to have satisfactory psychometric properties. The questionnaire is suitable for use in research and clinical practice to evaluate the effectiveness of preventive measures.

CLINICAL TRIAL REGISTRATION

ClinicalTrials.gov. PRS Protocol Registration and Results System; NCT05637177.

IMPLICATION FOR PRACTICE

The LSITA_SF12 questionnaire can beadministered by a community gerontological nurse and can be used in clinicalpractice and research.

Developing a prediction model for successful aging among the elderly using machine learning algorithms

Objective

The aging phenomenon has an increasing trend worldwide which caused the emergence of the successful aging (SA)1 concept. It is believed that the SA prediction model can increase the quality of life (QoL)2 in the elderly by decreasing physical and mental problems and enhancing their social participation. Most previous studies noted that physical and mental disorders affected the QoL in the elderly but didn't pay much attention to the social factors in this respect. Our study aimed to build a prediction model for SA based on the physical, mental, and specially more social factors affecting SA.

Methods

The 975 cases related to SA and non-SA of the elderly were investigated in this study. We used the univariate analysis to determine the best factors affecting the SA. AB3, XG-Boost J-48, RF4, artificial neural network5, support vector machine6, and NB7 algorithms were used for building the prediction models. To get the best model predicting the SA, we compared them using positive predictive value (PPV)8, negative predictive value (NPV)9, sensitivity, specificity, accuracy, F-measure, and area under the receiver operator characteristics curve (AUC).

Results

Comparing the machine learning10 model's performance showed that the random forest (RF) model with PPV = 90.96%, NPV = 99.21%, sensitivity = 97.48%, specificity = 97.14%, accuracy = 97.05%, F-score = 97.31%, AUC = 0.975 is the best model for predicting the SA.

Conclusions

Using prediction models can increase the QoL in the elderly and consequently reduce the economic cost for people and societies. The RF can be considered an optimal model for predicting SA in the elderly.

Satisfaction With Life and Risk of Dementia: Findings From the Korean Longitudinal Study of Aging

OBJECTIVES

Life satisfaction is increasingly viewed as an asset associated with better general health, but its association with cognitive health and risk of dementia is less examined. We tested the hypothesis that higher life satisfaction would be associated with lower risk of dementia.

METHODS

Participants were a nationally representative sample of adults (n = 8,021; age range: 45-93 years) from the Korean Longitudinal Study of Aging assessed every 2 years for up to 12 years. Multilevel modeling analysis examined whether life satisfaction is associated with cognitive functioning and decline. The primary analysis used Cox regression to examine the association between baseline life satisfaction and risk of incident dementia.

RESULTS

Between-person differences and within-person changes in life satisfaction were associated with cognitive functioning, but life satisfaction was unrelated to the rate of cognitive decline. Higher life satisfaction was also associated with lower risk of dementia, even after accounting for demographic factors, depressive symptoms, cardiovascular and functional risk factors, health behaviors, and social contact.

DISCUSSION

Satisfaction with life may function as a positive psychological resource for maintaining cognitive functioning and protecting against the risk of dementia.

Grit and Meaning in Life of Chinese Nurses: The Chain Mediating Effect of Social Support and Hope

Grit is defined as perseverance and passion for long-term goals, and it may affect the stability of the nursing workforce and the physical and mental health of nurses continuously. Meaning in life has received considerable attention from scholars, which is an important component in positive psychology. This study aimed to delve into the relationship between grit and the meaning in life of Chinese nurses. Additionally, we also sought to prove the chain mediating effect of social support and hope on this relationship. An online questionnaire survey was used to collect data from 704 Chinese nurses using the self-made demographic questionnaire with Short Grit Scale (Grit-S), the Perceived Social Support Scale (PSSS), Adult Dispositional Hope Scale (ADHS), and Meaning in Life Questionnaire (MLQ). Moreover, Process version 3.3 plug-in SPSS 25 was used to test the mediation effect between variables. The results showed a strong positive relationship between grit and meaning in life and verified the mediating effect of social support and hope on grit and meaning in life. The results also confirmed the chain mediating model between grit, social support, hope, and meaning in life.