Personality and Subjective Well-Being: Towards Personalized Persuasive Interventions for Health and Well-Being

Understanding Individual Differences in Happiness Sources and Implications for Health Technology Design: Exploratory Analysis of an Open Dataset

BACKGROUND

Psychologists have developed frameworks to understand many constructs, which have subsequently informed the design of digital mental health interventions (DMHIs) aimed at improving mental health outcomes. The science of happiness is one such domain that holds significant applied importance due to its links to well-being and evidence that happiness can be cultivated through interventions. However, as with many constructs, the unique ways in which individuals experience happiness present major challenges for designing personalized DMHIs.

OBJECTIVE

This paper aims to (1) present an analysis of how sex may interact with age, marital status, and parental status to predict individual differences in sources of happiness, and (2) to present a preliminary discussion of how open datasets may contribute to the process of designing health-related technology innovations.

METHODS

The HappyDB is an open database of 100,535 statements of what people consider to have made them happy, with some people asking to consider the past 24 hours (49,831 statements) and some considering the last 3 months (50,704 statements). Demographic information is also provided. Binary logistic regression analyses are used to determine whether various groups differed in their likelihood of selecting or not selecting a category as a source of their happiness.

RESULTS

Sex and age interacted to influence what was selected as sources of happiness, with patterns being less consistent among female individuals in comparison with male individuals. For marital status, differences in sources of happiness were predominantly between married individuals and those who are divorced or separated, but these were the same for both sexes. Married, single, and widowed individuals were all largely similar in their likelihood of selecting each of the categories as a source of their happiness. However, there were some anomalies, and sex appeared to be important in these anomalies. Sex and parental status also interacted to influence what was selected as sources of happiness.

CONCLUSIONS

Sex interacts with age, marital status, and parental status in the likelihood of reporting affection, bonding, leisure, achievement, or enjoying the moment as sources of happiness. The contribution of an open dataset to understanding individual differences in sources of happiness is discussed in terms of its potential role in addressing the challenges of designing DMHIs that are ethical, responsible, evidence based, acceptable, engaging, inclusive, and effective for users. The discussion considers how the content design of DMHIs in general may benefit from exploring new methods informed by diverse data sources. It is proposed that examining the extent to which insights from nondigital settings can inform requirements gathering for DMHIs is warranted.

Exploring the relationship between personality traits, social appearance anxiety, and quality of life among nursing students

BACKGROUND

Nursing students represent a unique group that faces specific stressors. One of these stressors is social appearance anxiety, which can adversely affect the quality of life. Personality traits are strong predictors of coping with stress and anxiety. This study explored the relationship between personality traits, social appearance anxiety, and quality of life among nursing students.

METHODS

The study employed a correlational descriptive cross-sectional research design. One thousand twenty-one students from the bachelor program's first, second, third, and fourth years participated in the study. The data was collected over three months from June to August 2024 by using four tools: the student's academic and socio-demographic profile, Novo Psych Five Factor Personality Scale (NFFPS-30), Social anxiety about appearance Scale (SAAS)., and The WHO Quality of Life Scale-Brief (WHOQOL-Brief).

RESULTS

The personality trait with the highest mean score is agreeableness (21.0 ±2.8), while neuroticism has the lowest mean score (18.4 ±4.3). (SAAS) results show that the majority of students (79.5%) experience low social anxiety levels. Additionally, (WHOQOL-Brief), general health, and social domains had the highest mean scores (58.2 and 53.2), compared to the physical domain, which scored the lowest at (40.6).

CONCLUSION

The study concluded that all personality traits correlate significantly negatively with SAAS except neuroticism. QOL was positively correlated with all personality traits except neuroticism. SAAS and neuroticism traits of personality are strong negative predictors of QOL. Further research and interventional programs are necessary to detect students' level of anxiety and their personality traits and improve their social appearance anxiety.

Personality Science in the Digital Age: The Promises and Challenges of Psychological Targeting for Personalized Behavior-Change Interventions at Scale

With the rapidly growing availability of scalable psychological assessments, personality science holds great promise for the scientific study and applied use of customized behavior-change interventions. To facilitate this development, we propose a classification system that divides psychological targeting into two approaches that differ in the process by which interventions are designed: audience-to-content matching or content-to-audience matching. This system is both integrative and generative: It allows us to (a) integrate existing research on personalized interventions from different psychological subdisciplines (e.g., political, educational, organizational, consumer, and clinical and health psychology) and to (b) articulate open questions that generate promising new avenues for future research. Our objective is to infuse personality science into intervention research and encourage cross-disciplinary collaborations within and outside of psychology. To ensure the development of personality-customized interventions aligns with the broader interests of individuals (and society at large), we also address important ethical considerations for the use of psychological targeting (e.g., privacy, self-determination, and equity) and offer concrete guidelines for researchers and practitioners.

Meeting people where they are: Crowdsourcing goal-specific personalized wellness practices

OBJECTIVES

Despite the development of efficacious wellness interventions, sustainable wellness behavior change remains challenging. To optimize engagement, initiating small behaviors that build upon existing practices congruent with individuals' lifestyles may promote sustainable wellness behavior change. In this study, we crowd-sourced helpful, flexible, and engaging wellness practices to identify a list of those commonly used for improving sleep, productivity, and physical, emotional, and social wellness from participants who felt they had been successful in these dimensions.

METHOD

We recruited a representative sample of 992 U.S. residents to survey the wellness dimensions in which they had achieved success and their specific wellness practices.

RESULTS

Responses were aggregated across demographic, health, lifestyle factors, and wellness dimension. Exploration of these data revealed that there was little overlap in preferred practices across wellness dimensions. Within wellness dimensions, preferred practices were similar across demographic factors, especially within the top 3-4 most selected practices. Interestingly, daily wellness practices differ from those typically recommended as efficacious by research studies and seem to be impacted by health status (e.g., depression, cardiovascular disease). Additionally, we developed and provide for public use a web dashboard that visualizes and enables exploration of the study results.

CONCLUSIONS

Findings identify personalized, sustainable wellness practices targeted at specific wellness dimensions. Future studies could leverage tailored practices as recommendations for optimizing the development of healthier behaviors.

Hit me with your best puff: Personality predicts preference for cigar vs. cigarette smoking

In this study, we examine the association between Big Five personality traits and cigar or cigarette smoking in a sample of 9,918 older adults across 11 European countries derived from the Survey of Health, Ageing and Retirement in Europe (SHARE) dataset. We find significant associations between several traits and smoking groups. Smoking was associated with lower scores on Conscientiousness and Agreeableness and higher Extraversion scores. In addition, cigar smokers exhibit lower Neuroticism and higher Openness compared to both cigarette smokers and non-smokers. These findings suggest that both personality traits are antecedents of smoking behavior, offering implications for targeted public health interventions and social policies aimed at combating the global tobacco epidemic.

Correlation between socio-demographic characteristics, metabolic control factors and personality traits with self-perceived health status in patients with diabetes: A cross-sectional study

Purpose

This study aimed to assess the relationship between metabolic control factors, socio-demographic characteristics, personality traits, and self-perceived health status in diabetes.

Methods

This cross-sectional study included 318 patients with type 1 and 2 diabetes (DM). Participants completed a questionnaire-based survey, which included the NEO Personality Inventory-Revised to measure five personality dimensions and the SF-12 survey to assess self-perceived health status. Binary logistic regression was performed to analyze the data, with socio-demographic characteristics, clinical data, and nutrition status as independent variables, and self-perceived health status (categorized as poor or good condition) as the dependent variable. Unadjusted and adjusted binary logistic regression analyses were used to examine the association between personality traits (high vs. low) and metabolic control factors (good control vs. bad control) with health status scores.

Results

60.7% of the participants with diabetes in the study described their health as "good." The results indicated that female gender (OR: 0.314, 95%CI: 0.105-0.938, P = 0.038), age > 60 years (OR: 0.263, 95%CI: 0.117-0.592, P = 0.001), comorbidities (OR: 0.314, 95%CI: 0.178-0.556, P = 0.001), DM complications (OR: 0.531, 95%CI: 0.337-0.838, P = 0.007), diabetic neuropathy (OR: 0.562, 95%CI: 0.356-0.886, P = 0.013), and diabetic ulcer (OR: 0.130, 95%CI: 0.023-0.747, P = 0.022) were independent variables associated with a "poor" health status. However, regular physical activity (OR: 3.144, 95%CI: 1.209-8.175, P = 0.019) and a healthy nutritional diet (OR: 2.456, 95%CI: 1.421-4.245, P < 0.001) were associated with a higher likelihood of a "good" self-perceived health status.

Conclusion

Preventive programs and interventions aimed at improving self-perceived health among patients with diabetes should focus on increasing regular physical activity and promoting a healthy nutritional status. These actions should be particularly targeted towards female and older patients with higher neuroticism traits.

Coping as a resource to allow for psychosocial adjustment in fatal disease: results from patients with amyotrophic lateral sclerosis

Background

Amyotrophic lateral sclerosis (ALS) is a fatal disorder, which imposes a severe emotional burden on patients. Appropriate coping mechanisms may alleviate this burden and facilitate wellbeing, with social support known to be a successful coping strategy. This observational study aimed to determine the interplay of general coping traits of hope for success and fear of failure, coping behavior of social activity, and patients' wellbeing.

Methods

In this cross-sectional study, patients with ALS from a clinical-epidemiological registry in Southwestern Germany were interviewed regarding coping traits (achievement-motivated behavior: hope for success and fear of failure), coping behavior of social activity, and psychosocial adjustment, determined using measures of depressiveness, anxiety [both measured by Hospital Anxiety and Depression Scale (HADS)], and quality of life [Anamnestic Comparative Self-Assessment (ACSA)]. Demographics, clinical [ALS Functional Rating Scale revised version (ALSFRS-R)], and survival data were recorded.

Results

A total of 868 patients [60.70% male patients, mean age: 64.70 (±10.83) years, mean ALSFRS-R: 37.36 ± 7.07] were interviewed. Anxiety in patients was found to be associated with a high fear of failure. In contrast, a generally positive attitude in patients exemplified in high hopes for success was associated with better wellbeing. Finally, coping behavior of social activity explained up to 65% of the variance of depressiveness among the patients with ALS.

Conclusion

In this study, we present evidence that the wellbeing of patients with ALS is not an immediate fatalistic consequence of physical degradation but rather determined by coping traits and behavior, which may be trained to substantially increase the wellbeing of patients with ALS.

The association between smoking and family health with the mediation role of personality among Chinese people: nationwide cross-sectional study

BACKGROUND

There may be unexplored interactions between family health, personality, and smoking that could help provide new perspectives on tobacco control.

OBJECTIVE

To examine the relationship between the health of one's family and their smoking habits, as well as investigate the potential influence of personality on this relationship.

METHODS

For this cross-sectional investigation, a national survey conducted in China in 2022 recruited a total of 21,916 individuals. The Family Health Scale was utilized to assess the health of the family. The 10-item Big Five Inventory scale was utilized to assess the Big five personality traits. The relationship between big five personality, family health, and smoking were investigated using binary and linear logistic regression. The indirect effects mediated by Big five personality were analyzed using mediation analysis with Sobel tests, and the indirect effects were composited using the Karlson-Holm-Breen method.

RESULTS

The overall prevalence of smoking in the study population was 14.87%, 26.19% for males and 3.54% for females. Urban and rural smoking prevalence was 13.81% and 16.10% respectively. Binary logistic regression analysis revealed a significant negative relationship between smoking and family health (odds ratio 0.964, 95% CI 0.959, 0.970, P < 0.001) with covariates controlled. The Karlson-Holm-Breen composition facilitated the connection between extraversion (47.81%) and nervousness (52.19%).

CONCLUSIONS

Preventive interventions for smoking behavior should prioritize family health and the Big five personality as significant areas to focus on. According to this study, in addition to implementing various interventions for different personalities, family health should be strengthened to reduce smoking behavior.

The association between quality of life and subjective wellbeing among older adults based on canonical correlation analysis

Introduction

The study explored the relationship between subjective well-being and the quality of life among older adults. It highlights the importance of understanding how these factors are interconnected in the context of an aging population.

Methods

Descriptive statistics were used to analyze the scores of general demographic characteristics, subjective wellbeing and quality of life. Simple correlation analysis and canonical correlation analysis were employed to analyze the relationship between subjective wellbeing and quality of life among older adults.

Results

Data from 892 older adults were collected. Canonical correlation analysis revealed four pairs of canonical variables, with the first four pairs of canonical correlation coefficients all being statistically significant (0.695, 0.179, 0.147, 0.121) (p < 0.05), and the first pair of canonical variables explaining 93.03% of the information content. From the canonical loading coefficients, Vitality and mental health contributed the most to the quality of life (U1) canonical variable. The canonical variable V1, which corresponded to subjective wellbeing, was reflected by a combination of positive affect, negative affect, positive experience and negative experience. X1 (physical functioning), X2 (role-physical), X3 (bodily pain), X4 (general health), X5 (vitality), X6 (social functioning), X7 (role-emotional) and X8 (mental health) were positively correlated with Y1 (positive affect) and Y3 (positive experience), negatively correlated with Y2 (negative affect) and Y4 (negative experience). Cross-loadings revealed that physical functioning, bodily pain, general health, vitality, social functioning and mental health were the main factors reflecting the subjective wellbeing of older adults.

Discussion

As quality of life among older adults was highly correlated with subjective wellbeing, appropriate measures should be taken to account for individual characteristics of older adults, and various factors should be integrated to improve their subjective wellbeing.

The Relationship between Social Media Use and Body Image in Lebanese University Students

Well-being is not only defined as being physically healthy; multiple factors can affect a person's well-being. Social media is strongly correlated with the body dissatisfaction of an individual. High exposure to lean and toned body shapes has created new standards and "idealized" body types. The aim of this article was to assess the relationship between social media and body image among university students in Lebanon. Data were obtained from 292 university students (median age: 22 years), selected from different Lebanese regions by using convenience sampling. Demographic data, social media addiction, body satisfaction, levels of physical activity, eating behaviors, and ultimate well-being were expressed as median and interquartile range. People who relied more on social media were younger than those who did not. Individuals addicted to social media had higher odds of having moderate and marked body image concerns. A significant association was found between social media addiction and emotional overeating, food responsiveness, and feeling hunger. These findings stress the need for rising regional and national awareness among social media users, especially the younger ones, and the implementation of intervention and prevention techniques to help prevent body image dissatisfaction, disordered eating patterns, and the alteration of overall well-being.

Personality and Affective Correlates of Openness to Experience from Big Five and HEXACO Personality Models: The Dual Nature of Big Five Openness

Openness to Experience is considered to be one of the broadest personality traits. Different operationalizations of Openness to Experience within and between personality models incorporate various features of this trait. Differences in Openness facets across inventories may lead to differences in relation to certain outcomes. Hence, the current study looked to explore the personality and affective correlates of Openness domains and facets from the Big Five and HEXACO model. The sample consisted of 540 participants who completed measures assessing Openness to Experience domains and facets from Big Five and HEXACO, schizotypy, Disintegration, need for cognition, subjective well-being, and mania. Results revealed that schizotypy and Disintegration had mostly non-significant correlations with Openness domains from both models. However, multiple facets of Openness had significant both positive and negative correlations with these constructs. In contrast to HEXACO, Openness from the Big Five model could be presented with two distinct subdomains. The Pure Openness subdomain is related to higher mania, while Pure Intellect is associated with lower schizotypy, higher well-being, and higher need for cognition. Our results suggest that measuring Openness at lower structural levels provides us with more nuanced patterns of relationships among constructs.

The Relationship between Emotional Stability, Psychological Well-Being and Life Satisfaction of Romanian Medical Doctors during COVID-19 Period: A Cross-Sectional Study

Due to the COVID-19 pandemic, as well as the fast progression of modern society, occupational stress has recently reached alarming levels with consequences for doctors’ psychological well-being. The aim of this study was to analyze the relationship among emotional stability, psychological well-being, and life satisfaction of medical doctors. We conducted a cross-sectional study on 280 medical doctors from Romania between February 2021 and September 2021, in the period between the third and fourth pandemic waves, who were evaluated by the DECAS, ASSET, and Satisfaction with Life scales. Our results showed that emotional stability is negatively correlated with psychological well-being (r = −0.526, p < 0.000) and positively correlated with life satisfaction (r = 0.319, p < 0.0001). Between psychological well-being and life satisfaction, we found a negative correlation (r = −0.046, p < 0.001). This study shows that there is a correlation among emotional stability, psychological well-being, and life satisfaction, which is why it can be considered that Romanian doctors have generated coping mechanisms during the COVID-19 pandemic.

Personality traits and quality of life among Lebanese medical students: any mediating effect of emotional intelligence? A path analysis approach

BACKGROUND

Medicine is an incredibly demanding career that appears to leave many medical students at risk of fatigue, anxiety, depression and burnout. Since adaptation and lifestyle changes are important, quality of life (QOL) of students during medical school could be impaired. Personality traits and emotional intelligence (EI) facets may be both linked to medical student's QOL. To our knowledge, no studies have been done on the concurrent and prospective relationship between QOL-related personality traits and EI in Lebanese medical students. This study aimed to investigate the role of EI as a mediator between personality traits and QOL among a sample of Lebanese medical students.

METHODS

This research is a descriptive cross-sectional survey study involving 293 Lebanese medical students recruited from all 7 Faculties of Medicine in Lebanon (June-December 2019). Structural equation modeling (SEM) was performed using SPSS AMOS v.24 to examine the structural relationship between each personality trait taken as independent variables, QOL as the dependent variable, and emotional intelligence as the mediator, among university students. The relative Chi-square (χ²/df), root mean square error of approximation (RMSEA) statistic, Tucker Lewis Index (TFI) and the comparative fit index (CFI) were used to evaluate the goodness-of-fit of the model.

RESULTS

Higher conscientiousness was significantly associated with more EI (Beta = 0.38; p < 0.001) and lower QOL (Beta = - 0.14; p = 0.025). The indirect relationships between conscientiousness, EI and QOL showed that EI mediated the association between conscientiousness and QOL (Beta = 0.17; 95% CI - 0.73 to - 0.004; p = 0.037). The fit indices of this model were adequate for χ²/df, RMSEA and CFI but not TLI. Higher openness to experience was significantly associated with more EI (Beta = 0.48; p < 0.001) and lower QOL (Beta = - 0.38; p < 0.001). The indirect relationships between openness to experience, EI and QOL showed that EI mediated the association between openness to experience and QOL (Beta = 0.30; 95% CI - 1.11 to - 0.03; p = 0.04). The fit indices were adequate for χ²/df and CFI but not RMSEA and TLI. EI did not mediate the association between the other three personality traits (extroversion, agreeableness and neuroticism) and QOL.

CONCLUSION

This current research has shed considerable light on the nexus of associations between EI, personality traits and well-being, nonetheless, led to the creation of more puzzling questions. On the whole, it seems that EI and its components can be used as an evaluation instrument in relates with Lebanese medical students' personality profile as a means of future training to improve quality of life during medical education.