Misremembering Solitude: The Role of Personality and Cultural Self-Concepts in Shaping Discrepancies Between Recalled and Concurrent Affect in Solitude

BACKGROUND

Affect recall is key to psychological assessment and decision-making. However, self-concepts (self-beliefs) may bias retrospective affect reports such that they deviate from lived experiences. Does this experience-memory gap apply to solitude experiences? We hypothesized that individuals misremember how they feel overall and when in solitude, in line with self-concepts of introversion, self-determined/not-self-determined solitude motivations, and independent/interdependent self-construal. A pilot study comparing retrospective to daily affect reports captured over 2 weeks (N = 104 UK university students) provided preliminary evidence of introversion and not-self-determined solitude shaping affect recall.

METHODS

In the main pre-registered study, participants aged 18-49 in the UK (N = 160) and Hong Kong (N = 159) reported their momentary affective states and social situations 5 times per day over 7 days, then recalled how they felt over the week.

RESULTS AND DISCUSSION

Individuals higher in self-determined solitude were more prone to retrospectively overestimate their high- and low-arousal positive affect in solitude and showed less overestimation/more underestimation of negative affect in solitude. Higher not-self-determined solitude was associated with overestimating loneliness, and higher interdependent self-construal with overestimating loneliness and energy levels, in solitude. Comparisons based on residence/ethnicity suggest culture influences solitude-seeking and affective memory. Implications for well-being and affect measurement are discussed.

Categorization of continuous covariates and complex regression models-friends or foes in intersectionality research

OBJECTIVES

To reduce health inequities, it is important to identify intersections in characteristics of individuals subject to privilege or disadvantage. Different proposals for that have recently been published. One approach (1) considers models specified with first- and all second-order effects and another (2) the stratification based on multiple covariates; both categorize continuous covariates. A simulation study was conducted in order to review both methods with regard to identification of intersections showing true differences, rate of false-positive results, and generalizability to independent data compared to an established approach (3) of backward variable elimination according to Bayesian information criterion (BE-BIC) combined with splines.

STUDY DESIGN AND SETTING

R software has been used to simulate the covariates age, sex, body mass index, education, and diabetes to examine their association with a continuous frailty score for osteoporosis using multiple linear regression. In setting 1, none of the covariates was associated with the frailty score, that is, only noise is present in the data. In setting 2, the covariates age, sex, and their interaction were associated with the frailty score, such that only females above 55 years formed an intersection associated with an increased frailty score. All approaches were compared under varying sample sizes (N = 200-3000) and signal-to-noise ratios (SNRs, 0.5-4) in 1000 replications. For model evaluation, bootstrap resampling was used. The models were fitted in internal learning data and then used to predict outcomes in the internal validation data. The mean squared error (MSE) was used for comparison and the frequency of false-positive findings calculated.

RESULTS

In setting 1, approaches 1 and 2 generated spurious effects in more than 90% of simulations across all sample sizes. In a smaller sample size, approach 3 (BE-BIC) selected 36.5% of the correct model, in larger sample size in 89.8% and always had a lower number of spurious effects. MSE in independent data was generally higher for approaches 1 and 2 when compared to 3. In setting 2, approach 1 selected most frequently the correct interaction but frequently showed spurious effects (>75%). Across all sample sizes and SNR, approach 3 generated least often spurious results and had lowest MSE in independent data.

CONCLUSION

Categorization of continuous covariates is detrimental to studies on intersectionality. Due to high and unrestricted model complexity, such approaches are prone to spurious effects and often lack interpretability. Approach 3 (BE-BIC) is considerably more robust against spurious findings, showed better generalizability to independent data, and can be used with most statistical software. For intersectionality research, we consider it most important to describe relevant differences between intersections and to avoid nonreproducible and spurious findings.

Alone in a Crowd: Is Social Contact Associated with Less Psychological Pain of Loneliness in Everyday Life?

People are often advised to engage in social contact to cope with the experience of loneliness and improve well-being. But are the moments of loneliness actually more bearable when spent in other people's company? In this research, we proposed and tested two conflicting theoretical accounts regarding the role of social contact: social contact is associated with a stronger (the amplifying account) or with a weaker (the buffering account) negative effect of loneliness on psychological well-being. Analyses of three datasets collected using ecological momentary assessments (Nindividuals = 3,035) revealed that the negative association between loneliness and well-being was stronger when participants were with others than alone, consistent with the amplifying account. Further, when participants experienced high levels of loneliness, being with others was associated with the same or with even a lower level of well-being than being alone. These findings suggest that simply spending time with others (vs. alone) is not associated with a reduced burden of loneliness and may even backfire.

Supplementary Information

The online version contains supplementary material available at 10.1007/s10902-023-00661-3.

Structural change and spatial pattern of intentional travel groups: A case study of metro riders in Hong Kong

Amid the COVID-19 pandemic, face-to-face contacts decreased but still existed despite people's fear of virus infection and governments' social gathering restrictions. These interactions influenced virus transmission routes, if any and reflected people's essential social interactive demands in the city. In this article, we identified people who intentionally travel as groups (ITGs) to characterize social interactions before and amid COVID-19. To systematically understand ITGs' mobility patterns, an ITG structure was defined and measured in multiple dimensions, including composition, function, size, intensity, quality, and spatiotemporal distribution. Based on a longitudinal smartcard dataset in Hong Kong spanning the year of 2020, we operationalized the ITG structure in the local metro system and examined whether and to what degree the structure changed during the pandemic. We found that ITGs' activities fluctuated as the pandemic progressed and their changes differed across different ITG groups. The long-distance ITGs saw the most significant change. The spatial distribution of persistent ITG trips before and amid the pandemic became spatiotemporally more concentrated. Stations with similar ITG indices clustered in proximity, and features of station areas like residents' education level and quantity of commercial facilities could well predict stations' ITG indices. In other words, inequal distribution of essential facilities and opportunities could notably influence ITGs, social contacts, and socioeconomic benefits brought about by them amid COVID-19. The findings provide insights concerning both resilience management amid the crisis and the long-term planning of essential facilities and services that facilitate group-based outgoings and activities.

Having time to oneself in times of extended togetherness: Solitude experiences during the COVID-19 pandemic

This study investigated how time to oneself (solitude) is experienced under conditions of extended togetherness with household members during the pandemic. Both structural (living arrangements) and qualitative characteristics (relationship quality and conflict) were examined for their association with solitude desire and daily solitude-affect links. We expected that people living with others and those with more high-quality as well as those with more conflictual relationships would report better affect quality when experiencing solitude. A Canadian adult lifespan sample (N = 141; M_age  = 38.43 years, SD_age  = 17.51; 81% female; 73% White; data collected from April to August 2020) provided information on household size and relationship characteristics and completed repeated daily life assessments of solitude desire, solitude, and affect. Findings show that living arrangements were not associated with an increased desire for solitude or better affect quality from solitude. Individuals reporting higher relationship quality and individuals reporting more conflict showed more favorable affect quality on days when they had time in solitude than individuals reporting lower quality relationships and lower conflict. Findings add to the growing solitude literature by delineating who seeks and benefits from solitude, and under what conditions.

The Psychology of Athletic Endeavor

A considerable amount of human behavior occurs within the context of sports. In recent years there have been notable advances in psychological science research applied to understanding athletic endeavor. This work has utilized a number of novel theoretical, methodological, and data analytic approaches. We review the current evidence related to developmental considerations, intrapersonal athlete factors, group processes, and the role of the coach in explaining how athletes function within the sport domain. This body of work sheds light on the diverse ways in which psychological processes contribute to athletic strivings. It also has the potential to spark interest in domains of psychology concerned with achievement as well as to encourage cross-domain fertilization of ideas.

Polynomial Mendelian randomization reveals non-linear causal effects for obesity-related traits

Causal inference is a critical step in improving our understanding of biological processes, and Mendelian randomization (MR) has emerged as one of the foremost methods to efficiently interrogate diverse hypotheses using large-scale, observational data from biobanks. Although many extensions have been developed to address the three core assumptions of MR-based causal inference (relevance, exclusion restriction, and exchangeability), most approaches implicitly assume that any putative causal effect is linear. Here, we propose PolyMR, an MR-based method that provides a polynomial approximation of an (arbitrary) causal function between an exposure and an outcome. We show that this method provides accurate inference of the shape and magnitude of causal functions with greater accuracy than existing methods. We applied this method to data from the UK Biobank, testing for effects between anthropometric traits and continuous health-related phenotypes, and found most of these (84%) to have causal effects that deviate significantly from linear. These deviations ranged from slight attenuation at the extremes of the exposure distribution, to large changes in the magnitude of the effect across the range of the exposure (e.g., a 1 kg/m² change in BMI having stronger effects on glucose levels if the initial BMI was higher), to non-monotonic causal relationships (e.g., the effects of BMI on cholesterol forming an inverted U shape). Finally, we show that the linearity assumption of the causal effect may lead to the misinterpretation of health risks at the individual level or heterogeneous effect estimates when using cohorts with differing average exposure levels.

Do medical treatment choices affect the health of chronic patients in middle and old age in China?-Evidence from CHARLS 2018

Different medical treatment choices may affect the health of patients with chronic diseases. This study aims to assess the relationship between treatment choices, including the use of traditional Chinese medicine (TCM), and the health levels of middle-aged and elderly patients with six chronic diseases. The sample data comes from China Health and Retirement Longitudinal Study (CHARLS 2018). Basic conditions, medical choices and health status of patients are incorporated. The ordered Logit and Logit regression models are used to analyze and compare the effects of six chronic disease patients’ medical options on their self-rated health (SRH) and depression. The overall average score of SRH is the highest in patients with heart disease (the worst in SRH), which is 3.433. Arthritis patients have the highest overall depression average score (depression) at 0.444. Under the premise of controlling a variety of socio-demographic factors, compared with the non-treatment group, taking TCM has a significant positive effect on SRH of patients with five diseases except hypertension. Both taking western medicine (WM) and taking integrated Chinese and Western medicine (IM) have a significant positive effect on SRH scores of patients with six chronic diseases in middle and old age. Taking TCM has effect on depression of patients with heart or stomach diseases, and taking WM and IM affects depression of middle-aged and elderly chronic patients except diabetes. Taking IM has a greater effect on SRH and depression of chronically ill patients, followed by taking WM, and the effect of taking TCM is relatively small, which is related to the development stage of the disease. Therefore, in the future, the control and treatment of chronic diseases in the middle and late stages can be discussed from the perspective of integrated traditional Chinese and western medicine, but attention should be paid to drug interactions. In order to improve the treatment rate and health level of patients with chronic diseases, their economic burden should be reduced, and they should be guided to choose more reasonable treatment methods.

Not "The More The Merrier": Diminishing Returns to Daily Face-To-Face Social Interaction Frequency for Well-being in Older Age

OBJECTIVES

While being socially active is beneficial for well-being in older age, it is unclear whether effects of social interactions on well-being indicate "the more the merrier" or they have limits as individuals socialize more or less across different days. This study addressed diminishing returns to social interaction frequency for well-being.

METHOD

We examined data from an event-contingent experience sampling study from 116 Swiss older adults (65 to 94 years old) over 21 days. Participants reported face-to-face social interactions once they occurred and daily well-being (i.e., positive and negative affect, loneliness) in the evenings.

RESULTS

On average, participants had 2.09 face-to-face social interactions per day. Linear and quadratic effects from multilevel models conjointly indicated that a higher number of daily social interactions was associated with higher daily positive affect and lower daily negative affect and loneliness, but that well-being reached its peak at 2 to 3 times above participants' typical daily interaction frequency. Once these numbers were surpassed, the benefit of additional social interactions diminished. Additionally, participants who typically had fewer social interactions, were unmarried, lived alone, and had more health conditions showed stronger associations between daily social interaction frequency and well-being.

DISCUSSION

Our findings suggest the benefits of social interactions on well-being exhibit diminishing returns. Social interactions may play a bigger role in older adults with less satiation for desire to belong and a limited future time perspective. We discuss these findings in terms of the belongingness hypothesis and the socioemotional selectivity theory.