Bernstein, B. O., Lubinski, D., & Benbow, C. P. (2020). Academic acceleration in gifted youth and fruitless concerns regarding psychological well-being: A 35-year longitudinal study. Journal of Educational Psychology, Jul 2020. https://doi.org/10.1037/edu0000500
Abstract: Academic acceleration of intellectually precocious youth is believed to harm overall psychological well-being even though short-term studies do not support this belief. Here we examine the long-term effects. Study 1 involves three cohorts identified before age 13, then longitudinally tracked for over 35 years: Cohort 1 gifted (top 1% in ability, identified 1972–1974, N = 1,020), Cohort 2 highly gifted (top 0.5% in ability, identified 1976–1979, N = 396), and Cohort 3 profoundly gifted (top 0.01% in ability, identified 1980–1983, N = 220). Two forms of educational acceleration were examined: (a) age at high school graduation and (b) quantity of advanced learning opportunities pursued prior to high school graduation. Participants were evaluated at age 50 on several well-known indicators of psychological well-being. Amount of acceleration did not covary with psychological well-being. Study 2, a constructive replication of Study 1, used a different high-potential sample—elite science, technology, engineering, and mathematics graduate students (N = 478) identified in 1992. Their educational histories were assessed at age 25 and they were followed up at age 50 using the same psychological assessments. Again, the amount of educational acceleration did not covary with psychological well-being. Further, the psychological well-being of participants in both studies was above the average of national probability samples. Concerns about long-term social/emotional effects of acceleration for high-potential students appear to be unwarranted, as has been demonstrated for short-term effects.
Monday, July 6, 2020
Two systems of belief change: One adheres, mostly, to epistemological norms of updating; the other (a psychological immune system) guards our most centrally held beliefs from potential inconsistency with new beliefs
The science of belief: A progress report. Nicolas Porot Eric Mandelbaum. WIREs Cognitive Science, July 6 2020. https://doi.org/10.1002/wcs.1539
Abstract: The empirical study of belief is emerging at a rapid clip, uniting work from all corners of cognitive science. Reliance on belief in understanding and predicting behavior is widespread. Examples can be found, inter alia, in the placebo, attribution theory, theory of mind, and comparative psychological literatures. Research on belief also provides evidence for robust generalizations, including about how we fix, store, and change our beliefs. Evidence supports the existence of a Spinozan system of belief fixation: one that is automatic and independent of belief rejection. Independent research supports the existence of a system of fragmented belief storage: one that relies on large numbers of causally isolated, context‐sensitive stores of belief in memory. Finally, empirical and observational data support at least two systems of belief change. One system adheres, mostly, to epistemological norms of updating; the other, the psychological immune system, functions to guard our most centrally held beliefs from potential inconsistency with newly formed beliefs. Refining our understanding of these systems can shed light on pressing real‐world issues, such as how fake news, propaganda, and brainwashing exploit our psychology of belief, and how best to construct our modern informational world.
Abstract: The empirical study of belief is emerging at a rapid clip, uniting work from all corners of cognitive science. Reliance on belief in understanding and predicting behavior is widespread. Examples can be found, inter alia, in the placebo, attribution theory, theory of mind, and comparative psychological literatures. Research on belief also provides evidence for robust generalizations, including about how we fix, store, and change our beliefs. Evidence supports the existence of a Spinozan system of belief fixation: one that is automatic and independent of belief rejection. Independent research supports the existence of a system of fragmented belief storage: one that relies on large numbers of causally isolated, context‐sensitive stores of belief in memory. Finally, empirical and observational data support at least two systems of belief change. One system adheres, mostly, to epistemological norms of updating; the other, the psychological immune system, functions to guard our most centrally held beliefs from potential inconsistency with newly formed beliefs. Refining our understanding of these systems can shed light on pressing real‐world issues, such as how fake news, propaganda, and brainwashing exploit our psychology of belief, and how best to construct our modern informational world.
Those of the most pessimistic (optimistic) expectations in financial realizations experienced a 21.8% (13.5%) reduction in long-run well-being due to the decision errors and counteracting emotions of biased beliefs
Neither an Optimist Nor a Pessimist Be: Mistaken Expectations Lower Well-Being. David de Meza, Chris Dawson. Personality and Social Psychology Bulletin, July 6, 2020. https://doi.org/10.1177/0146167220934577
Abstract: This article speaks to the classic view that mental health requires accurate self-perception. Using a representative British sample (N = 1,601) it finds that, as measured by two established well-being indicators, those with mistaken expectations, whether optimistic or pessimistic, do worse than realists. We index unrealistic optimism as the difference between financial expectations and financial realizations measured annually over 18 years. The effects are not small, with those holding the most pessimistic (optimistic) expectations experiencing a 21.8% (13.5%) reduction in long-run well-being. These findings may result from the decision errors and counteracting emotions associated with holding biased beliefs. For optimists, disappointment may eventually dominate the anticipatory feelings of expecting the best while for pessimists the depressing effect of expecting doom may eventually dominate the elation when the worst is avoided. Also, plans based on inaccurate beliefs are bound to deliver worse outcomes than would rational expectations.
Keywords: unrealistic optimism, well-being, decision making, loss aversion, disappointment aversion
Abstract: This article speaks to the classic view that mental health requires accurate self-perception. Using a representative British sample (N = 1,601) it finds that, as measured by two established well-being indicators, those with mistaken expectations, whether optimistic or pessimistic, do worse than realists. We index unrealistic optimism as the difference between financial expectations and financial realizations measured annually over 18 years. The effects are not small, with those holding the most pessimistic (optimistic) expectations experiencing a 21.8% (13.5%) reduction in long-run well-being. These findings may result from the decision errors and counteracting emotions associated with holding biased beliefs. For optimists, disappointment may eventually dominate the anticipatory feelings of expecting the best while for pessimists the depressing effect of expecting doom may eventually dominate the elation when the worst is avoided. Also, plans based on inaccurate beliefs are bound to deliver worse outcomes than would rational expectations.
Keywords: unrealistic optimism, well-being, decision making, loss aversion, disappointment aversion
Ugliness judgments respond to cues of pathogen presence; ugliness may activate the behavioral immune system, alerting us to stimuli that pose pathogen risk
Ugliness Judgments Alert us to Cues of Pathogen Presence. Christoph Klebl et al. Social Psychological and Personality Science, July 6, 2020. https://doi.org/10.1177/1948550620931655
Abstract: Little is known about the psychology of ugliness. We propose that ugliness judgments are linked to the behavioral immune system, alerting us to objects that may contain potentially harmful diseases. Exploring this possibility, in five studies (N = 1,552), we found that ugly human faces (Studies 1a and 1b), ugly animals (Study 2), and—to a lesser degree—ugly buildings (Study 2) elicit disgust controlling for other avoidance-motivated emotional responses. Furthermore, the presence (vs. absence) of disease cues were found to elicit ugliness judgments (Studies 3 and 4) suggesting that ugliness judgments respond to cues of pathogen presence. As such, ugliness may activate the behavioral immune system, alerting us to stimuli that pose pathogen risk.
Keywords: ugliness, behavioral immune system, disgust, aesthetics
Abstract: Little is known about the psychology of ugliness. We propose that ugliness judgments are linked to the behavioral immune system, alerting us to objects that may contain potentially harmful diseases. Exploring this possibility, in five studies (N = 1,552), we found that ugly human faces (Studies 1a and 1b), ugly animals (Study 2), and—to a lesser degree—ugly buildings (Study 2) elicit disgust controlling for other avoidance-motivated emotional responses. Furthermore, the presence (vs. absence) of disease cues were found to elicit ugliness judgments (Studies 3 and 4) suggesting that ugliness judgments respond to cues of pathogen presence. As such, ugliness may activate the behavioral immune system, alerting us to stimuli that pose pathogen risk.
Keywords: ugliness, behavioral immune system, disgust, aesthetics
Links between screen use and depressive symptoms in adolescents over 16 years: It is concluded that screens and social media use are unlikely to bear major responsibility for youth suicide trends
Links between screen use and depressive symptoms in adolescents over 16 years: Is there evidence for increased harm? Christopher J. Ferguson. Developmental Science, June 23 2020. https://doi.org/10.1111/desc.13008
Abstract: Recent scholarship has been divided on whether an observed increase in suicides in the United States among teenagers and preteens (12–18) can be attributed to an increased use in social screen media beginning in 2009. If these concerns are accurate effect sizes for the relationship between screen use and suicide should increase over the 16 years since 2001. The current study used the Florida Youth Risk Behavior Survey data (n = 45,992) from 2001 to 2017, to track effect sizes for screen/depression correlations, controlling for age and gender. A second dataset from the UK Understanding Society dataset (ns for each wave ranged between 3,536 and 4,850) was used to study associations between time spent on social media and emotional problems. Metaregression was be used to examine whether effect sizes increase across time. Results generally did not support the hypothesis that effect sizes between screen and social media use are increasing over time. Aside from the trends over time, for any given year, most effect sizes were below the r = .10 threshold used for interpretation with the exception of computer use which was just at that threshold. It is concluded that screens and social media use are unlikely to bear major responsibility for youth suicide trends.
Abstract: Recent scholarship has been divided on whether an observed increase in suicides in the United States among teenagers and preteens (12–18) can be attributed to an increased use in social screen media beginning in 2009. If these concerns are accurate effect sizes for the relationship between screen use and suicide should increase over the 16 years since 2001. The current study used the Florida Youth Risk Behavior Survey data (n = 45,992) from 2001 to 2017, to track effect sizes for screen/depression correlations, controlling for age and gender. A second dataset from the UK Understanding Society dataset (ns for each wave ranged between 3,536 and 4,850) was used to study associations between time spent on social media and emotional problems. Metaregression was be used to examine whether effect sizes increase across time. Results generally did not support the hypothesis that effect sizes between screen and social media use are increasing over time. Aside from the trends over time, for any given year, most effect sizes were below the r = .10 threshold used for interpretation with the exception of computer use which was just at that threshold. It is concluded that screens and social media use are unlikely to bear major responsibility for youth suicide trends.
Breakfast skipping may have a modest impact on weight loss compared to breakfast consumers, and may increase LDL cholesterol in the short term
Breakfast Skipping, Body Composition, and Cardiometabolic Risk: A Systematic Review and Meta‐Analysis of Randomized Trials. Jonathan P. Bonnet Michelle I. Cardel Jaqueline Cellini Frank B. Hu Marta Guasch‐Ferré. Obesity, April 18 2020. https://doi.org/10.1002/oby.22791
Abstract
Objective The objective of this study was to evaluate the effect of skipping breakfast on body composition and cardiometabolic risk factors.
Methods This study conducted a systematic review and meta‐analysis of randomized controlled trials (RCTs) evaluating breakfast skipping compared with breakfast consumption. Inclusion criteria included age ≥ 18, intervention duration ≥ 4 weeks, ≥ 7 participants per group, and ≥ 1 body composition measure. Random‐effects meta‐analyses of the effect of breakfast skipping on body composition and cardiometabolic risk factors were performed.
Results Seven RCTs (n = 425 participants) with an average duration of 8.6 weeks were included. Compared with breakfast consumption, breakfast skipping significantly reduced body weight (weighted mean difference [WMD] = −0.54 kg [95% CI: −1.05 to −0.03], P = 0.04, I 2 = 21.4%). Percent body fat was reported in 5 studies and was not significantly different between breakfast skippers and consumers. Three studies reported on low‐density lipoprotein cholesterol (LDL), which was increased in breakfast skippers as compared with breakfast consumers (WMD = 9.24 mg/dL [95% CI: 2.18 to 16.30], P = 0.01). Breakfast skipping did not lead to significant differences in blood pressure, total cholesterol, high‐density lipoprotein (HDL) cholesterol, triglycerides, C‐reactive protein, insulin, fasting glucose, leptin, homeostatic model assessment of insulin resistance, or ghrelin.
Conclusions Breakfast skipping may have a modest impact on weight loss and may increase LDL in the short term. Further studies are needed to provide additional insight into the effects of breakfast skipping.
Abstract
Objective The objective of this study was to evaluate the effect of skipping breakfast on body composition and cardiometabolic risk factors.
Methods This study conducted a systematic review and meta‐analysis of randomized controlled trials (RCTs) evaluating breakfast skipping compared with breakfast consumption. Inclusion criteria included age ≥ 18, intervention duration ≥ 4 weeks, ≥ 7 participants per group, and ≥ 1 body composition measure. Random‐effects meta‐analyses of the effect of breakfast skipping on body composition and cardiometabolic risk factors were performed.
Results Seven RCTs (n = 425 participants) with an average duration of 8.6 weeks were included. Compared with breakfast consumption, breakfast skipping significantly reduced body weight (weighted mean difference [WMD] = −0.54 kg [95% CI: −1.05 to −0.03], P = 0.04, I 2 = 21.4%). Percent body fat was reported in 5 studies and was not significantly different between breakfast skippers and consumers. Three studies reported on low‐density lipoprotein cholesterol (LDL), which was increased in breakfast skippers as compared with breakfast consumers (WMD = 9.24 mg/dL [95% CI: 2.18 to 16.30], P = 0.01). Breakfast skipping did not lead to significant differences in blood pressure, total cholesterol, high‐density lipoprotein (HDL) cholesterol, triglycerides, C‐reactive protein, insulin, fasting glucose, leptin, homeostatic model assessment of insulin resistance, or ghrelin.
Conclusions Breakfast skipping may have a modest impact on weight loss and may increase LDL in the short term. Further studies are needed to provide additional insight into the effects of breakfast skipping.
Sunday, July 5, 2020
Chemical engineers, computer & information systems managers, & management analysts are virtually all Republican; epidemiologists, computer programmers, & historians are virtually all Democrats
Occupational Engagement and Partisanship in the United States. Darin DeWitt. Political Studies Review, July 4, 2020. https://doi.org/10.1177/1478929920932129
Abstract: In this article, I present a portrait of the American power elite and their relationship with the party system. I focus on occupational categories as institutional positions and take up three questions: Which occupational categories wield social influence? How politically mobilized is each of these occupational categories? And what partisan tilt is exhibited by each category? My results help clarify the contemporary structure of American electoral competition. Furthermore, they also shed light on which social groups have a voice in American politics and, thus, speak to questions of political equality.
Keywords: power elite, occupational subcultures, party identification, political inequality
Abstract: In this article, I present a portrait of the American power elite and their relationship with the party system. I focus on occupational categories as institutional positions and take up three questions: Which occupational categories wield social influence? How politically mobilized is each of these occupational categories? And what partisan tilt is exhibited by each category? My results help clarify the contemporary structure of American electoral competition. Furthermore, they also shed light on which social groups have a voice in American politics and, thus, speak to questions of political equality.
Keywords: power elite, occupational subcultures, party identification, political inequality
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