Algorithm-Augmented Work and Domain Experience: The Countervailing Forces of Ability and Aversion

Past research offers mixed perspectives on whether domain experience helps or hurts algorithm-augmented worker performance. Reconciling these perspectives, we theorize that intermediate levels of domain experience are optimal for algorithm-augmented performance, due to the interplay between two countervailing forces—ability and aversion. Although domain experience can increase performance via increased ability to complement algorithmic advice (e.g., identifying inaccurate predictions), it can also decrease performance via increased aversion to accurate algorithmic advice. Because ability developed through learning by doing increases at a decreasing rate, and algorithmic aversion is more prevalent among experts, we theorize that algorithm-augmented performance will first rise with increasing domain experience, then fall. We test this by exploiting a within-subjects experiment in which corporate information technology support workers were assigned to resolve problems both manually and using an algorithmic tool. We confirm that the difference between performance with the algorithmic tool versus without the tool was characterized by an inverted U-shape over the range of domain experience. Only workers with moderate domain experience did significantly better using the algorithm than resolving tickets manually. These findings highlight that, even if greater domain experience increases workers’ ability to complement algorithms, domain experience can also trigger other mechanisms that overcome the positive ability effect and inhibit performance. Additional analyses and participant interviews suggest that, even though the highest experience workers had the greatest ability to complement the algorithmic tool, they rejected its advice because they felt greater accountability for possible unintended consequences of accepting algorithmic advice.

COVID-19 conspiracy theories and compliance with governmental restrictions: The mediating roles of anger, anxiety, and hope

The COVID-19 pandemic has been an ideal breeding ground for conspiracy theories. Yet, different beliefs could have different implications for individuals’ emotional responses, which in turn could relate to different behaviours and specifically to either a greater or lesser compliance with social distancing and health-protective measures. In the present research, we investigated the links between COVID-19 conspiracy beliefs, emotions (anger, anxiety, and hope), attitudes towards government restrictions, and self-reported compliant behaviour. Results of a cross-sectional survey amongst a large UK sample ( N = 1,579) provided support for the hypothesis that COVID-19 conspiracy beliefs showed a polarizing relationship with compliant behaviour through opposing emotional pathways. The relation was mediated by higher levels of anger, themselves related to a lesser perceived importance of government restrictions, and simultaneous higher levels of anxiety, related to a greater perceived importance. Hope was also related to conspiracy beliefs and to greater perceived importance but played a weaker role in the mediational model. Results suggest that the behavioural correlates of conspiracy beliefs might not be straightforward, and highlight the importance of considering the emotional states such beliefs might elicit when investigating their potential impact.

The Effect of Delay Duration on Delay Discounting across Adulthood

Objectives

Literature about the relationship between age and delay discounting, or the willingness to wait for delayed rewards, is mixed. We posit that some of this heterogeneity may be attributable to inconsistent delay durations across studies. Here we investigate how delay duration influences discounting across adulthood by systematically varying the duration of the delay between the smaller, sooner and the larger, later option.

Methods

288 healthy participants (age range: 25–84 years) completed an online delay discounting task that probed 12 different time delays across 3 discount rates. Discounting was analyzed in 2 statistical models that treated delay duration as either a categorical or a continuous predictor.

Results

Longer delays were generally associated with decreased discounting. However, this was dependent on both age of the participant and delay duration. Both models revealed that, at short to moderate time delays, older adults discounted less than younger adults. However, at very long delays (5 and 10 years), older adults discounted at similar rates to younger adults.

Discussion

Results suggest that delay length can moderate the relationship between age and discounting. Using delays longer than those tested here (>10 years) could reveal yet another trend (i.e., a reversal) to those found here. Future research should investigate whether this reversal in discounting exists, why it exists, and where the inflection point lies.

A Critical Evaluation of the Reflective Functioning Questionnaire (RFQ)

The Reflective Functioning Questionnaire (RFQ) is an 8-item self-report measure of reflective functioning that is presumed to capture individual differences in hypo- and hypermentalizing. Despite its broad acceptance by the field, we argue that the validity of the measure is not well-established. The current research elaborates on problems of the RFQ related to its item content, scoring procedure, dimensionality, and associations with psychopathology. We tested these considerations across three large clinical and non-clinical samples from Germany and the US (total N = 2289). In a first study, we found that the RFQ may assess a single latent dimension related to hypomentalizing but is rather unlikely to capture maladaptive forms of hypermentalizing. Moreover, the RFQ exhibited very strong associations with measures of personality pathology, while associations with measures of symptom distress were less strong. In a second preregistered study focused on convergent and discriminant validity, however, a commonality analysis indicated that associations with indicators of personality pathology are inflated because some of the RFQ items tap into emotional lability and impulsivity rather than mentalizing. Our findings demonstrate limitations of the RFQ. We discuss key challenges in assessing mentalizing via self-report.

Developmental change in prefrontal cortex recruitment supports the emergence of value-guided memory

Prioritizing memory for valuable information can promote adaptive behavior across the lifespan, but it is unclear how the neurocognitive mechanisms that enable the selective acquisition of useful knowledge develop. Here, using a novel task coupled with functional magnetic resonance imaging, we examined how children, adolescents, and adults (N = 90) learn from experience what information is likely to be rewarding, and modulate encoding and retrieval processes accordingly. We found that the ability to use learned value signals to selectively enhance memory for useful information strengthened throughout childhood and into adolescence. Encoding and retrieval of high- vs. low-value information was associated with increased activation in striatal and prefrontal regions implicated in value processing and cognitive control. Age-related increases in value-based lateral prefrontal cortex modulation mediated the relation between age and memory selectivity. Our findings demonstrate that developmental increases in the strategic engagement of the prefrontal cortex support the emergence of adaptive memory.

The Attitude-Behavior Relationship Revisited

The attitude-behavior relationship is of great import to many areas of psychology. Indeed, psychologists across disciplines have published thousands of articles on the topic. The majority of this research implies that the attitude-behavior relationship is linear. However, observations from 4,101 participants on Amazon's Mechanical Turk and 321,876 online reviews demonstrate that this relationship is systematically nonlinear. Across diverse topics, measures, and contexts, as attitudes move from extremely negative to extremely positive, the corresponding shift in behavior tends to be relatively flat at first (as attitudes move from extremely to moderately negative), to steepen when attitudes cross neutral and shift from negative to positive, and to taper off again as attitudes move from moderately to extremely positive. This result can be explained on the basis of research on categorical perception. The present research suggests a fundamental pivot in how researchers construe, study, and assess the attitude-behavior relationship.

Modeling changes in probabilistic reinforcement learning during adolescence

In the real world, many relationships between events are uncertain and probabilistic. Uncertainty is also likely to be a more common feature of daily experience for youth because they have less experience to draw from than adults. Some studies suggest probabilistic learning may be inefficient in youths compared to adults, while others suggest it may be more efficient in youths in mid adolescence. Here we used a probabilistic reinforcement learning task to test how youth age 8-17 (N = 187) and adults age 18-30 (N = 110) learn about stable probabilistic contingencies. Performance increased with age through early-twenties, then stabilized. Using hierarchical Bayesian methods to fit computational reinforcement learning models, we show that all participants' performance was better explained by models in which negative outcomes had minimal to no impact on learning. The performance increase over age was driven by 1) an increase in learning rate (i.e. decrease in integration time scale); 2) a decrease in noisy/exploratory choices. In mid-adolescence age 13-15, salivary testosterone and learning rate were positively related. We discuss our findings in the context of other studies and hypotheses about adolescent brain development.

When Reinforcing Processes Generate an Outcome-Quality Dip

When does market success indicate superior merit? We show that when consumer choices between products with equal prices depend on quality but also on past popularity, more popular products are not necessarily of higher quality. Rather, a medium level of popularity may be associated with lower quality than lower levels of popularity. Using a formal model, we show that this kind of nonmonotonic association occurs when reinforcing processes are strong. More generally, a dip can occur when outcomes depend on both quality and resources and the latter are allocated bimodally, with some being given a lot of resources and most receiving little. Empirically, we illustrate that such a dip occurs in the association between movie theater sales and ratings. The presence of a dip in the outcome-quality association complicates learning from market outcomes and evaluation of individuals and new ventures, challenges the legitimacy of stratification systems, and creates opportunities for sophisticated evaluators who understand the dip.

Politically oriented bullshit detection: Attitudinally conditional bullshit receptivity and bullshit sensitivity

Bullshit results from communicating with little to no regard for truth, evidence, or established knowledge (Frankfurt, 1986; Petrocelli, 2018a). Such disregard for truth serves as a common source of antiscientific beliefs and endorsement of alternative facts and is thereby critical to understand. To examine how social perceptions of bullshit may be conditional upon the political orientation of a source and the extremity of one’s political attitudes, two experiments manipulated the alleged political source of bullshit messages and measured the direction and strength of political orientation. In Experiment 1, participants rated the profundity of nonsense statements allegedly stated by high-profile left/liberal or right/conservative political leaders. Experiment 2 participants rated the profundity of both bullshit statements and factual quotations regarding innovation. Results of both experiments suggest that bullshit receptivity and bullshit sensitivity are dependent on the alignment of the source’s bullshit content with the direction and extremity of one’s political attitudes.

Theory of Mind as a Mechanism That Accounts for the Continuity or Discontinuity of Behavioral Inhibition: A Developmentally Informed Model of Risk for Social Anxiety

Research has established that children with high levels of early behavioral inhibition (BI) - a subdued, timid, fearful response to novel or mildly challenging stimuli or events - are at an elevated risk for social anxiety in later childhood and adolescence. Yet, substantial heterogeneity has been documented in those developmental trajectories; consequently, understanding factors that moderate children's paths from early BI to social anxiety is an important goal. We proposed that the association between children's BI at toddler age and social anxiety at early school age is (a) mediated by their BI at preschool age, and (b) moderated by the level of social understanding, or Theory of Mind (ToM). In 102 typically developing community children, we observed BI in the laboratory at age 2 and 4.5 in "Risk Room" paradigms and assessed ToM at age 4.5 and 5.5 using false belief tasks. Mothers and fathers rated children's social anxiety symptoms at age 6.5. We supported the proposed moderated mediation model, with the path from BI at age 2 to BI at age 4.5 to social anxiety at age 6.5 unfolding only for children whose ToM abilities were relatively low, but not for those whose ToM abilities were relatively high. Results also supported a curvilinear relation between ToM and social anxiety, which highlights the risk of elevated social anxiety for children with extremely low ToM abilities. Taken together, proficiency in mindreading may help inhibited children navigate social environments and thus reduce risks for social anxiety.

Cognition and Emotion in Extreme Political Action: Individual Differences and Dynamic Interactions

Who is most likely to join and engage in extreme political action? Although traditional theories have focused on situational factors or group identity, an emerging science illustrates that tendencies for extreme political action may also be rooted in individuals’ idiosyncratic cognitive and affective dispositions. This article synthesizes cutting-edge evidence demonstrating that individuals’ cognitive and affective architecture shapes their willingness to support ideological violence. In the cognitive domain, traits such as cognitive rigidity, slow perceptual strategies, and poor executive functions are linked to heightened endorsement for ideological violence. In the emotion domain, characteristics associated with emotional reactivity and impaired emotional regulation, such as sensation seeking and impulsivity, can facilitate readiness for extreme political action. The review homes in on the roles of cognitive rigidity and sensation seeking as traits heightening proclivities for extreme pro-group behavior and recommends that future research should assess cognition-emotion interactions to reveal different subprofiles of political actors. A theoretical framework focused on cognitive and affective information-processing traits—and their interactions—opens up tractable empirical questions and a future research agenda. Identifying subsets of ideologues is an endeavor with potential to inform the design of evidence-based interventions aimed at reducing ideological extremism and fostering social understanding.

Absolutely Right and Relatively Good: Consequentialists See Bioethical Disagreement in a Relativist Light

BACKGROUND

Contemporary societies are rife with moral disagreement, resulting in recalcitrant disputes on matters of public policy. In the context of ongoing bioethical controversies, are uncompromising attitudes rooted in beliefs about the nature of moral truth?

METHODS

To answer this question, we conducted both exploratory and confirmatory studies, with both a convenience and a nationally representative sample (total N = 1501), investigating the link between people's beliefs about moral truth (their metaethics) and their beliefs about moral value (their normative ethics).

RESULTS

Across various bioethical issues (e.g., medically-assisted death, vaccine hesitancy, surrogacy, mandatory organ conscription, or genetically modified crops), consequentialist attitudes were associated with weaker beliefs in an objective moral truth. This association was not explained by domain-general reflectivity, theism, personality, normative uncertainty, or subjective knowledge.

CONCLUSIONS

We find a robust link between the way people characterize prescriptive disagreements and their sensibility to consequences. In addition, both societal consensus and personal conviction contribute to objectivist beliefs, but these effects appear to be asymmetric, i.e., stronger for opposition than for approval.

Curvilinear Sexism and Its Links to Men's Perceived Mate Value

We tested the novel hypothesis that men lower in status-linked variables-that is, subjective social status and perceived mate value-are relatively disinclined to offset their high hostile sexism with high benevolent sexism. Findings revealed that mate value, but not social status, moderates the hostile-benevolent sexism link among men: Whereas men high in perceived mate value endorse hostile and benevolent sexism linearly across the attitude range, men low in mate value show curvilinear sexism, characterized by declining benevolence as hostility increases above the midpoint. Study 1 (N = 15,205) establishes the curvilinear sexism effect and shows that it is stronger among men than women. Studies 2 (N = 328) and 3 (N = 471) show that the curve is stronger among men low versus high in perceived mate value, and especially if they lack a serious relationship partner (Study 3). Discussion considers the relevance of these findings for understanding misogyny.

Endocrinological effects of social exclusion and inclusion: Experimental evidence for adaptive regulation of female fecundity

When current conditions are probabilistically less suitable for successful reproduction than future conditions, females may prevent or delay reproduction until conditions improve. Throughout human evolution, social support was likely crucial to female reproductive success. Women may thus have evolved fertility regulation systems sensitive to cues from the social environment. However, current understanding of how psychological phenomena might affect female ovarian function is limited. In this study, we examined whether cues of reduced social support-social ostracism-impact women's hormone production. Following an in-lab group bonding task, women were randomly assigned to a social exclusion (n = 88) or social inclusion (n = 81) condition. After social exclusion, women with low background levels of social support experienced a decrease in estradiol relative to progesterone. In contrast, socially-included women with low background social support experienced an increase in estradiol relative to progesterone. Hormonal changes in both conditions occurred specifically when women were in their mid-to-late follicular phase, when baseline estradiol is high and progesterone is low. Follow-up analyses revealed that these changes were primarily driven by changes in progesterone, consistent with existing evidence for disruption of ovarian function following adrenal release of follicular-phase progesterone. Results offer support for a potential mechanism by which fecundity could respond adaptively to the loss or lack of social support.

Visual affects: Linking curiosity, Aha-Erlebnis, and memory through information gain

Current theories propose that our sense of curiosity is determined by the learning progress or information gain that our cognitive system expects to make. However, few studies have explicitly tried to quantify subjective information gain and link it to measures of curiosity. Here, we asked people to report their curiosity about the intrinsically engaging perceptual 'puzzles' known as Mooney images, and to report on the strength of their aha experience upon revealing the solution image (curiosity relief). We also asked our participants (279) to make a guess concerning the solution of the image, and used the distribution of these guesses to compute the crowdsourced semantic entropy (or ambiguity) of the images, as a measure of the potential for information gain. Our results confirm that curiosity and, even more so, aha experience is substantially associated with this semantic information gain measure. These findings support the expected information gain theory of curiosity and suggest that the aha experience or intrinsic reward is driven by the actual information gain. In an unannounced memory part, we also established that the often reported influence of curiosity on memory is fully mediated by the aha experience or curiosity relief. We discuss the implications of our results for the burgeoning fields of curiosity and psychoaesthetics.

Is a Rational Politics of Disaster Possible? Making Useful Decisions for Others in an Experimental Disaster Game

Disaster responses are political. But can citizens make useful disaster decisions? Potential obstacles are that such decisions are complex, involve public goods, and often affect other people. Theories of political decision-making disagree on whether these problems can be overcome. We used experimental economic games that simulate disaster to test whether people are willing and able to prevent disasters for others. Groups of players face a complex task in which options that might help vary in their riskiness. Importantly, although all options are reasonable, which option is most useful depends on the experimental condition. We find that players will pay to help, can identify which option is most useful across experimental conditions, and will pay to learn how best to help. Thus, players were able to make useful and costly decisions to prevent others from experiencing disaster. This suggests that, in at least some situations, citizens may be able to make good disaster decisions.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s11109-021-09700-2.

Eight Simple Guidelines for Improved Understanding of Transformations and Nonlinear Effects

Transforming variables before analysis or applying a transformation as a part of a generalized linear model are common practices in organizational research. Several methodological articles addressing the topic, either directly or indirectly, have been published in the recent past. In this article, we point out a few misconceptions about transformations and propose a set of eight simple guidelines for addressing them. Our main argument is that transformations should not be chosen based on the nature or distribution of the individual variables but based on the functional form of the relationship between two or more variables that is expected from theory or discovered empirically. Building on a systematic review of six leading management journals, we point to several ways the specification and interpretation of nonlinear models can be improved.

Can You Ever Be Too Smart for Your Own Good? Comparing Linear and Nonlinear Effects of Cognitive Ability on Life Outcomes

Despite a long-standing expert consensus about the importance of cognitive ability for life outcomes, contrary views continue to proliferate in scholarly and popular literature. This divergence of beliefs presents an obstacle for evidence-based policymaking and decision-making in a variety of settings. One commonly held idea is that greater cognitive ability does not matter or is actually harmful beyond a certain point (sometimes stated as > 100 or 120 IQ points). We empirically tested these notions using data from four longitudinal, representative cohort studies comprising 48,558 participants in the United States and United Kingdom from 1957 to the present. We found that ability measured in youth has a positive association with most occupational, educational, health, and social outcomes later in life. Most effects were characterized by a moderate to strong linear trend or a practically null effect (mean R² range = .002-.256). Nearly all nonlinear effects were practically insignificant in magnitude (mean incremental R² = .001) or were not replicated across cohorts or survey waves. We found no support for any downside to higher ability and no evidence for a threshold beyond which greater scores cease to be beneficial. Thus, greater cognitive ability is generally advantageous-and virtually never detrimental.

Market Competition and the Effectiveness of Performance Pay

It is well established that the effectiveness of pay-for-performance (PfP) schemes depends on employee- and organization-specific factors. However, less is known about the moderating role of external forces such as market competition. Our theory posits that competition generates two counteracting effects—the residual market and competitor response effects—that vary with competition and jointly generate a curvilinear relationship between PfP effectiveness and competition. Weak competition discourages effort response to PfP because there is little residual market to gain from rivals, whereas strong competition weakens incentives because an offsetting response from competitors becomes more likely. PfP hence has the strongest effect under moderate competition. Field data from a bakery chain and its competitive environment confirm our theory and let us refute several alternative interpretations.

Age Predicts Risky Investment Better Than Residual Reproductive Value

AbstractLife-history theory predicts that investment in reproduction should increase as future reproductive potential (i.e., residual reproductive value [RRV]) decreases. Researchers have thus intuitively used age as a proxy for RRV and assume that RRV decreases with age when interpreting age-specific investment. Yet age is an imperfect proxy for RRV and may even be a poor correlate in some systems. We used a 31-year study of the nesting ecology of painted turtles (Chrysemys picta) to assess how age and RRV compare in explaining variation in a risky investment behavior. We predicted that RRV would be a better predictor of risky investment than age because RRV accounts for variation in future reproductive potential across life. We found that RRV was high in early life, slowly decreased until midlife, and then steadily decreased to terminal reproduction. However, age predicted risky behavior better than RRV. This finding suggests that stronger correlates of age (e.g., size) may be more responsible for this behavior in turtles. This study highlights that researchers should not assume that age-specific investment is driven by RRV and that future work should quantify RRV to more directly test this key element of life-history theory.

Compositional Associations of Sleep and Activities within the 24-h Cycle with Cardiometabolic Health Markers in Adults

PURPOSE

This study aimed to examine how compositions of 24-h time use and time reallocations between movement behaviors are associated with cardiometabolic health in a population-based sample of middle-age Finnish adults.

METHODS

Participants were 3443 adults 46 yr of age from the Northern Finland Birth Cohort 1966 study. Participants wore a hip-worn accelerometer for 14 d from which time spent in sedentary behavior (SB), light-intensity physical activity (LPA), and moderate- to vigorous-intensity physical activity (MVPA) were determined. These data were combined with self-reported sleep to obtain the 24-h time-use composition. Cardiometabolic outcomes included adiposity markers, blood lipid levels, and markers of glucose control and insulin sensitivity. Multivariable-adjusted regression analysis, using a compositional data analysis approach based on isometric log-ratio transformation, was used to examine associations between movement behaviors with cardiometabolic outcomes.

RESULTS

More daily time in MVPA and LPA, relative to other movement behaviors, was consistently favorably associated with all cardiometabolic outcomes. For example, relative to time spent in other behaviors, 30 min·d-1 more MVPA and LPA were both associated with lower 2-h post-glucose load insulin level (-11.8% and -2.7%, respectively). Relative to other movement behaviors, more daily time in SB was adversely associated with adiposity measures, lipid levels, and markers of insulin sensitivity, and more daily time asleep was adversely associated with adiposity measures, blood lipid, fasting plasma glucose, and 2-h insulin. For example, 60 min·d-1 more SB and sleep relative to the remaining behaviors were both associated with higher 2-h insulin (3.5% and 5.7%, respectively).

CONCLUSIONS

Altering daily movement behavior compositions to incorporate more MVPA at the expense of any other movement behavior, or more LPA at the expense of SB or sleep, could help to improve cardiometabolic health in midadulthood.

Accrual of functional redundancy along the lifespan and its effects on cognition

Despite the necessity to understand how the brain endures the initial stages of age-associated cognitive decline, no brain mechanism has been quantitatively specified to date. The brain may withstand the effects of cognitive aging through redundancy, a design feature in engineered and biological systems, which entails the presence of substitute elements to protect it against failure. Here, we investigated the relationship between functional network redundancy and age over the human lifespan and their interaction with cognition, analyzing resting-state functional MRI images and cognitive measures from 579 subjects. Network-wide redundancy was significantly associated with age, showing a stronger link with age than other major topological measures, presenting a pattern of accumulation followed by old-age decline. Critically, redundancy significantly mediated the association between age and executive function, with lower anti-correlation between age and cognition in subjects with high redundancy. The results suggest that functional redundancy accrues throughout the lifespan, mitigating the effects of age on cognition.

Deciphering the genetic and epidemiological landscape of mitochondrial DNA abundance

Mitochondrial (MT) dysfunction is a hallmark of aging and has been associated with most aging-related diseases as well as immunological processes. However, little is known about aging, lifestyle and genetic factors influencing mitochondrial DNA (mtDNA) abundance. In this study, mtDNA abundance was estimated from the weighted intensities of probes mapping to the MT genome in 295,150 participants from the UK Biobank. We found that the abundance of mtDNA was significantly elevated in women compared to men, was negatively correlated with advanced age, higher smoking exposure, greater body-mass index, higher frailty index as well as elevated red and white blood cell count and lower mortality. In addition, several biochemistry markers in blood-related to cholesterol metabolism, ion homeostasis and kidney function were found to be significantly associated with mtDNA abundance. By performing a genome-wide association study, we identified 50 independent regions genome-wide significantly associated with mtDNA abundance which harbour multiple genes involved in the immune system, cancer as well as mitochondrial function. Using mixed effects models, we estimated the SNP-heritability of mtDNA abundance to be around 8%. To investigate the consequence of altered mtDNA abundance, we performed a phenome-wide association study and found that mtDNA abundance is involved in risk for leukaemia, hematologic diseases as well as hypertension. Thus, estimating mtDNA abundance from genotyping arrays has the potential to provide novel insights into age- and disease-relevant processes, particularly those related to immunity and established mitochondrial functions.

Longitudinal data in peripheral blood confirm that PM20D1 is a quantitative trait locus (QTL) for Alzheimer's disease and implicate its dynamic role in disease progression

BACKGROUND

While Alzheimer's disease (AD) remains one of the most challenging diseases to tackle, genome-wide genetic/epigenetic studies reveal many disease-associated risk loci, which sheds new light onto disease heritability, provides novel insights to understand its underlying mechanism and potentially offers easily measurable biomarkers for early diagnosis and intervention.

METHODS

We analyzed whole-genome DNA methylation data collected from peripheral blood in a cohort (n = 649) from the Alzheimer's Disease Neuroimaging Initiative (ADNI) and compared the DNA methylation level at baseline among participants diagnosed with AD (n = 87), mild cognitive impairment (MCI, n = 175) and normal controls (n = 162), to identify differentially methylated regions (DMRs). We also leveraged up to 4 years of longitudinal DNA methylation data, sampled at approximately 1 year intervals to model alterations in methylation levels at DMRs to delineate methylation changes associated with aging and disease progression, by linear mixed-effects (LME) modeling for the unchanged diagnosis groups (AD, MCI and control, respectively) and U-shape testing for those with changed diagnosis (converters).

RESULTS

When compared with controls, patients with MCI consistently displayed promoter hypomethylation at methylation QTL (mQTL) gene locus PM20D1. This promoter hypomethylation was even more prominent in patients with mild to moderate AD. This is in stark contrast with previously reported hypermethylation in hippocampal and frontal cortex brain tissues in patients with advanced-stage AD at this locus. From longitudinal data, we show that initial promoter hypomethylation of PM20D1 during MCI and early stage AD is reversed to eventual promoter hypermethylation in late stage AD, which helps to complete a fuller picture of methylation dynamics. We also confirm this observation in an independent cohort from the Religious Orders Study and Memory and Aging Project (ROSMAP) Study using DNA methylation and gene expression data from brain tissues as neuropathological staging (Braak score) advances.

CONCLUSIONS

Our results confirm that PM20D1 is an mQTL in AD and demonstrate that it plays a dynamic role at different stages of the disease. Further in-depth study is thus warranted to fully decipher its role in the evolution of AD and potentially explore its utility as a blood-based biomarker for AD.

Who Is Willing to Engage in Social Gatherings During the Coronavirus Disease 2019 Lockdown? A Curvilinear Relationship Between Age and Heuristic Processing

BACKGROUND

The Chinese government implemented a lockdown to contain the coronavirus disease 2019 (COVID-19) pandemic during the Chinese Lunar New Year when people have the tradition to visit families and friends. Previous research suggested that heuristic processing increased risky behavioral willingness (e.g., desire to have social gatherings despite the pandemic) and that people's tendency to use heuristic processing varied across different adulthood stages. This study thus investigated the relationships among age, heuristic processing of COVID-19-related information, and the willingness to have social gatherings during the lockdown.

METHODS

A sample of 1,651 participants was recruited from an online crowdsourcing platform between January 31 and February 04 in 2020, with a mean age of 30.69, 47.9% being women. Participants completed an online questionnaire about heuristic processing of COVID-19-related information, willingness to engage in social gatherings during the lockdown, age, and other demographic information.

RESULTS

Age was found to have a U-shaped curvilinear relationship with heuristic processing, and heuristic processing was positively correlated with the willingness to have social gatherings. Further analyses showed that heuristic processing curvilinearly mediated the relationship between age and the willingness to have social gatherings.

CONCLUSION

Compared with young adults, emerging and older adults are more likely to engage in heuristic processing, which in turn, increases the willingness to have social gatherings. Heuristic processing serves as an underlying mechanism to explain the relationship between age and risky behavioral willingness.

A Reappraisal of the Threshold Hypothesis of Creativity and Intelligence

Intelligence has been declared as a necessary but not sufficient condition for creativity, which was subsequently (erroneously) translated into the so-called threshold hypothesis. This hypothesis predicts a change in the correlation between creativity and intelligence at around 1.33 standard deviations above the population mean. A closer inspection of previous inconclusive results suggests that the heterogeneity is mostly due to the use of suboptimal data analytical procedures. Herein, we applied and compared three methods that allowed us to handle intelligence as a continuous variable. In more detail, we examined the threshold of the creativity-intelligence relation with (a) scatterplots and heteroscedasticity analysis, (b) segmented regression analysis, and (c) local structural equation models in two multivariate studies (N1 = 456; N2 = 438). We found no evidence for the threshold hypothesis of creativity across different analytical procedures in both studies. Given the problematic history of the threshold hypothesis and its unequivocal rejection with appropriate multivariate methods, we recommend the total abandonment of the threshold.

Inhibition of the supplementary motor area affects distribution of effort over time

In tasks that extend over time, people tend to exert much effort at the beginning and the end, but not in the middle, exhibiting the stuck-in-the-middle pattern (STIM). To date, little is known about the neural mechanisms underlying this effect. As the supplementary motor area (SMA) was previously implicated in coding prospective task-demands, we tested its role in producing the STIM pattern. Participants first underwent an SMA-localization session in which they tapped their fingers repeatedly while fMRI-scanned. In the next two sessions, before playing a 10-min computer game that measured effort-engagement, participants underwent inhibitory 1-Hz repetitive transcranial magnetic stimulation over the SMA, or over a control precuneus location. Three control experiments and a pretest confirmed that this task yields a STIM, which can be eliminated when the task lacks a salient end-point, or is too short. The results of the main experiment showed a more pronounced STIM following inhibitory SMA stimulation compared to control. A control analysis showed that overall level of effort was similar in both conditions, rendering alternative accounts in terms of motor inhibition unlikely. These findings are consistent with the possibility that the SMA may play a role in moment-to-moment coding of effort value, or in related sub-processes, which can cause effort to be distributed more equally over the course of a task.

Roles of drinking and diet in the U-shaped relationship between smoking and BMI in middle-aged and elderly Chinese rural adults

The study aimed to investigate the relationship between smoking and BMI, from the perspective of the roles of alcohol drinking and dietary factors in a rural population. We analysed cross-sectional data from 10,837 middle-aged and elderly Chinese rural adults who completed a questionnaire that included questions on demographic characteristics, dietary intake, and detailed smoking and drinking status. Results showed that current smokers had lower BMI and consumed foods less frequently (except coriander, onion, garlic, hawthorn and fermented bean curd) than non-smokers. The relationship between smoking amount and the risk of overweight or obesity was U-shaped, and the trends were also similar by stratum of baseline age groups (all p for interaction < 0.001). Heavy smokers tended to have drinking habits, which was associated with increased BMI (all p for trend < 0.001). Additionally, despite the lower risk of overweight or obesity for current smokers, normal weight individuals were found to have the minimum smoking amount. In conclusion, smoking may cause suppression of appetite but smokers tend to have other unhealthy habits relating to increased BMI. Dietary factors and alcohol use play important roles in the U-shaped relationship between smoking behaviours and BMI in the middle-aged and elderly Chinese rural population.

Robust evidence for bisexual orientation among men

The question whether some men have a bisexual orientation-that is, whether they are substantially sexually aroused and attracted to both sexes-has remained controversial among both scientists and laypersons. Skeptics believe that male sexual orientation can only be homosexual or heterosexual, and that bisexual identification reflects nonsexual concerns, such as a desire to deemphasize homosexuality. Although most bisexual-identified men report that they are attracted to both men and women, self-report data cannot refute these claims. Patterns of physiological (genital) arousal to male and female erotic stimuli can provide compelling evidence for male sexual orientation. (In contrast, most women provide similar physiological responses to male and female stimuli.) We investigated whether men who self-report bisexual feelings tend to produce bisexual arousal patterns. Prior studies of this issue have been small, used potentially invalid statistical tests, and produced inconsistent findings. We combined nearly all previously published data (from eight previous studies in the United States, United Kingdom, and Canada), yielding a sample of 474 to 588 men (depending on analysis). All participants were cisgender males. Highly robust results showed that bisexual-identified men's genital and subjective arousal patterns were more bisexual than were those who identified as exclusively heterosexual or homosexual. These findings support the view that male sexual orientation contains a range, from heterosexuality, to bisexuality, to homosexuality.

Step Out of Line: Modeling Nonlinear Effects and Dynamics in Close-Relationships Research

Despite widespread acknowledgment that close relationships frequently involve tumultuous and dynamic experiences, most models in relationship psychology focus on linear relationship processes. Modeling nonlinear patterns can, however, be an important way to assess and better understand the complexities inherent in close relationships. In this article, I draw on one of the most widely studied theories in relationship science—attachment theory—to illustrate how modeling nonlinear effects between variables (i.e., curvilinear effects) and nonlinear dynamics across time (i.e., within-person variation and within-dyad flexibility) can reconcile inconsistencies in the literature, reveal unique relationship experiences, and broaden our understanding of complex relationship processes.

Additive, Curvilinear, and Interactive Relations of Anxiety and Depression With Indicators of Psychosocial Functioning

This study examines additive, curvilinear, and interactive relations of anxiety and depression with several subjective indicators of intrapersonal (i.e., hope, self-compassion, shame) and interpersonal (i.e., social connectedness, quality of social relationships) functioning in a sample of adults ( N =  547, Mage = 43.37 ± 12.02, female = 56.88%) seeking treatment for psychological difficulties. Results of complementary analyses were largely consistent with the hypothesis that increasing levels of anxiety and depression would correspond with worse psychosocial functioning, although nonlinear relations indicated that the effect of depression progressively attenuated at higher levels of symptom severity. Whereas the findings generally supported additive effects of anxiety and depression, the hypothesis that there would be synergistic effects of anxiety and depression was not supported. Supplementary group comparisons revealed that the functional implications of subsyndromal combinations of anxiety and depression may be comparable to those associated with symptoms that meet more traditional standards (i.e., syndromal or dimensional definitions) of comorbid anxiety–depression. The findings offer further insight into the complex relations of anxiety and depression with psychosocial functioning and emphasize the importance of detecting and offering appropriate treatments for anxiety and depression symptoms that coexist at subsyndromal levels.

The effects of obligation on relationships and well-being over time in middle adulthood

Previous research has offered mixed evidence on whether obligation in relationships benefits or harms individuals and their relationships. Given that few studies are prospective and consider multiple close relationships, we used 18-year longitudinal data to model whether obligation is associated with differences in relational and individual well-being over time. Because prior mixed findings may be attributed to differential influences of obligation across development, we also considered age. Light obligation predicted higher levels of relational and individual well-being; substantive obligation sometimes predicted lower levels of well-being. Both types of obligation mostly did not predict changes in relationships and well-being over time except substantive obligation predicted slower increases in friend support. The associations between light and substantive obligation were largely uniform across age. The only exception was for substantive obligation and friend support; substantive obligation was associated with a slower increase in friend support only for younger adults (<39 years old). This study extends previous research by examining obligation among middle-aged adults, addressing a critical developmental gap in this literature. Findings suggest that understanding people’s obligations toward close others is important not only for their own well-being but also their relationships in adulthood.