National-Level Schoolwork Pressure, Family Structure, Internet Use, and Obesity as Drivers of Time Trends in Adolescent Psychological Complaints Between 2002 and 2018

Little is known about societal processes that contribute to changes in adolescent mental health problems. This study aims to fill this gap using data from the Health Behavior in School-aged Children study between 2002 and 2018 (n_countries = 43, n_individuals = 680,269, M_age = 14.52 (SD = 1.06), 51.04% female), supplemented with other international data. National-level psychological complaints increased more strongly among girls than boys. National-level schoolwork pressure, single-parent households, time spent on internet, and obesity were generally rising. In both boys' and girls' samples, increases in national-level schoolwork pressure, obesity, and time spent on internet use were independently associated with increases national-level psychological complaints. However, national-level obesity and psychological complaints were more strongly related among girls than boys. Results highlight the potential impact of societal-level processes on adolescent mental health problems.

What is the Optimal Way to Give Thanks? Comparing the Effects of Gratitude Expressed Privately, One-to-One via Text, or Publicly on Social Media

Numerous investigations to date have established the benefits of expressing gratitude for improved psychological well-being and interpersonal relationships. Nevertheless, the social dynamics of gratitude remain understudied. Do the effects of gratitude differ when it is expressed privately, communicated directly to the benefactor one-to-one, or shared publicly? We tested this question in a preregistered intervention study. An ethnically and economically diverse sample of undergraduate students (N = 916) was randomly assigned to 1 of 4 conditions: (1) write gratitude letters and do not share them (private gratitude), (2) share gratitude one-to-one with benefactors via text (1-to-1 gratitude), (3) share gratitude publicly on social media (public gratitude), or (4) track daily activities (control). Participants were asked to complete their assigned activity four times with different people (as applicable) over the course of about a week. Overall, participants assigned to any digital gratitude intervention experienced improvements in state gratitude, positive emotions, negative emotions, elevation, connectedness, support, and loneliness, relative to controls. Relative to all other conditions, participants assigned to text their benefactors showed the biggest boosts in social connectedness and support. Our findings show that easily scalable digital gratitude interventions can advance the well-being of young college students.

Linear correlation is insufficient as the sole measure of associations: The case of technology use and mental health

It is common for psychology studies to rely solely on linear correlation (r) or similar statistics and not include other measures of association (such as relative risk, which examines differences in the number of people affected). For example, the association between smoking and lung cancer (r = 0.06) could be dismissed as "small" if only linear r is examined, even though 30 times more smokers than non-smokers get lung cancer. Many studies concluding that associations between technology use and well-being as too small to be of practical importance relied solely on linear r. We show that, across five datasets, "small" correlations between technology use and mental health exist alongside practically important risk associations. As there are several valid types of association, and characterizing an association based on a single type of a measure - such as linear r or r² - can be misleading.

Associations between screen time and internalizing disorder diagnoses among 9- to 10-year-olds

BACKGROUND

Children and adolescents spend an increasing amount of time with screen media. Identifying correlates of youth mental disorders has become more urgent with rates of depression, self-harm, suicide attempts, and suicide deaths rising sharply among U.S. children and adolescents after 2012. This study examined the relationship between screen time and internalizing disorders in preadolescent children between the ages of 9 and 10.

METHODS

Participants were 9- and 10-year-old youth (n = 11,780) in the baseline of the multi-site Adolescent Brain and Cognitive Development Study (ABCD). Youth reported the number of hours a day they spent watching TV shows or movies, watching videos online, playing video games, texting, using social media, and video chatting. Youth responded to an abbreviated version of the Kiddie Schedule for Affective Disorders and Schizophrenia (K-SADS-5), a semi-structured clinical interview measuring current and past symptoms of internalizing disorders using DSM-5 criteria.

RESULTS

Youth spending 2 or more hours (vs. less than 2) a day with screen media were more likely to fit criteria for depressive disorders, self-harm, and suicidal ideation or attempts, even after adjustment for demographic covariates. For anxiety disorders, associations with digital media use (social media, texting, gaming, and online videos) were stronger than with screen time generally.

LIMITATIONS

This is a cross-sectional study utilizing retrospective screen time reports, which limits our ability to determine causality and the accuracy of the reports.

CONCLUSIONS

Preadolescents who spend more time using screens, especially digital media, are more likely to fit DSM-5 criteria for internalizing disorders.

Teens, screens and quarantine; the relationship between adolescent media use and mental health prior to and during COVID-19

This study examines associations between media use and mental health for adolescents prior to and during the COVID-19 pandemic. Using two separate datasets that sampled adolescents (8th, 10th, and 12th graders) in 2018 (n = 31,825) and 2020 (n = 1,523), mental health (hopelessness and happiness), media use (time spent using a variety of media), and personal health habits (sleep) were assessed. Overall, we found that there were significant differences by year in adolescent hopelessness, with adolescents reporting less hopelessness in 2020 (during COVID-19) than in 2018 (pre COVID-19). There were not ​practical significant differences in adolescent happiness and loneliness. Adolescents also reported getting more sleep in our 2020 sample than the 2018 sample. Adolescents in 2020 spent significantly more time watching movies and video chatting, but less time texting and on social media than adolescents in 2018. Finally, we found that time spent video chatting and sleep had a different relationship with various aspects of mental health (happiness, hopelessness, or loneliness) in 2018 vs. 2020.

Specification curve analysis shows that social media use is linked to poor mental health, especially among girls

An important 2019 paper applied a novel analytic technique called Specification Curve Analysis (SCA) to data from three large-scale community samples to investigate the association between adolescent technology use and mental health/well-being. The paper concluded that an association exists but is tiny, with median betas between -0.01 and -0.04. This association was reported to be smaller than links between mental health and various innocuous variables in the datasets such as eating potatoes, and therefore to be of no practical significance. The current paper re-ran SCA on the same datasets while applying alternative analytic constraints on the model specification space, including: 1) examining specific digital media activities (e.g., social media) separately rather than lumping all "screen time" including TV together; 2) examining boys and girls separately, rather than examining them together; 3) excluding potential mediators from the list of controls; and 4) treating scales equally (rather than allowing one scale with many subscales to dominate all others). We were able to reproduce the original results with the original configurations. When we used the revised constraints, we found several much larger relationships than previously reported. In particular: among girls, there is a consistent and substantial association between mental health and social media use (median betas from -0.11 to -0.24). These associations were stronger than links between mental health and binge drinking, sexual assault, obesity, and hard drug use, suggesting that these associations may have substantial practical significance as many countries are experiencing rising rates of depression, anxiety, and suicide among teenagers and young adults.

Anxiety and depressive symptoms in U.S. Census Bureau assessments of adults: Trends from 2019 to fall 2020 across demographic groups

BACKGROUND

Events from spring to fall 2020, including the COVID-19 pandemic, hate crimes, and social unrest, may have impacted mental health, particularly mood and anxiety disorders. This study compares rates of positive screens for anxiety and depressive disorders in separate U.S. national samples from 2019 and April to September 2020. The analysis includes trends within demographic groups, which have received scant attention.

METHODS

Nationally representative probability samples of U.S. adults administered by the U.S. Census Bureau (n = 1.3 million) completed the PHQ-2 screening for depressive disorder and the GAD-2 screening for anxiety disorder.

RESULTS

U.S. adults in 2020 were four times more likely to screen positive for depressive and anxiety disorders than in 2019, with the largest increases among males, 18- to 29-year-olds (for depression), Asian Americans, and parents with children in the home. Anxiety and depression rose and fell in tandem with the number of COVID-19 cases in the U.S., as well as increasing during the early June weeks of racial justice protests.

CONCLUSIONS

Screens for mood and anxiety disorders remained at elevated levels in spring, summer, and fall 2020, especially among certain groups.

Increased Support for Same-sex Marriage in the US: Disentangling Age, Period, and Cohort Effects

Previous research established a substantial increase in support for same-sex marriage in the US, but it is unclear if this increase is due to cohort (a change that affects only the younger generation) or time period (a change that affects those of all ages). In a nationally representative sample of American adults (n = 13,483) in 1988 and 2004-2018, increased support for same-sex marriage was primarily due to time period (from 11.1% in 1988 to 66.7% in 2018). There was a smaller cohort effect, with a fairly linear increase between cohorts born in the 1960s and those born in the 1990s. Time period increases in support for same-sex marriage appeared among across gender, race, education levels, regions, and levels of religious service attendance, though differences in support still remain. The results suggest Americans of all ages modified their beliefs about same-sex marriage over time.

Worldwide increases in adolescent loneliness

INTRODUCTION

Several studies have documented increases in adolescent loneliness and depression in the U.S., UK, and Canada after 2012, but it is unknown whether these trends appear worldwide or whether they are linked to factors such as economic conditions, technology use, or changes in family size.

METHODS

The Programme for International Student Assessment (PISA) survey of 15- and 16-year-old students around the world included a 6-item measure of school loneliness in 2000, 2003, 2012, 2015, and 2018 (n = 1,049,784, 51% female) across 37 countries.

RESULTS

School loneliness increased 2012-2018 in 36 out of 37 countries. Worldwide, nearly twice as many adolescents in 2018 (vs. 2012) had elevated levels of school loneliness. Increases in loneliness were larger among girls than among boys and in countries with full measurement invariance. In multi-level modeling analyses, school loneliness was high when smartphone access and internet use were high. In contrast, higher unemployment rates predicted lower school loneliness. Income inequality, GDP, and total fertility rate (family size) were not significantly related to school loneliness when matched by year. School loneliness was positively correlated with negative affect and negatively correlated with positive affect and life satisfaction, suggesting the measure has broad implications for adolescent well-being.

CONCLUSIONS

The psychological well-being of adolescents around the world began to decline after 2012, in conjunction with the rise of smartphone access and increased internet use, though causation cannot be proven and more years of data will provide a more complete picture.

Sleep characteristics of U.S. adults before and during the COVID-19 pandemic

RATIONALE

Understanding how health has changed in response to the COVID-19 pandemic is critical to recovering from the pandemic.

OBJECTIVE

This study focused on how sleep characteristics in the United States may be different from before to during the COVID-19 pandemic.

METHODS

To this end, the sleep characteristics of a nationally representative sample of U.S. adults collected before the COVID-19 outbreak (i.e., 2018 National Health Interview Survey, n = 19,433) were compared to the sleep characteristics of a nationally representative sample of U.S. adults recruited via Luc.id, an online survey sampling company, during the COVID-19 outbreak (i.e., 2020 Luc.id, n = 2059).

RESULTS

While average sleep duration did not change between 2018 and 2020, the prevalence of both shorter and longer than recommended sleep duration were greater in 2020. Moreover, the number of days with difficulty falling asleep, difficulty staying asleep, and not feeling rested was greater in 2020 than 2018. Adults younger than 60 had larger differences than those 60 or older.

CONCLUSIONS

Sleep health in U.S. adults was worse in 2020 than in 2018, particularly in adults younger than 60. Findings highlight sleep as target in future research and interventions seeking to understand and reduce the effects of the COVID-19 pandemic.

Not all screen time is created equal: associations with mental health vary by activity and gender

PURPOSE

Previous research on associations between screen media use and mental health produced mixed findings, possibly because studies have not examined screen activities separately or accounted for gender differences. We sought to examine associations between different types of screen activities (social media, internet, gaming, and TV) and mental health indicators separately for boys and girls.

METHODS

We drew from a nationally representative sample of 13-15-year-old adolescents in the UK (n = 11,427) asking about hours per day spent on specific screen media activities and four mental health indicators: self-harm behavior, depressive symptoms, life satisfaction, and self-esteem.

RESULTS

Hours spent on social media and Internet use were more strongly associated with self-harm behaviors, depressive symptoms, low life satisfaction, and low self-esteem than hours spent on electronic gaming and TV watching. Girls generally demonstrated stronger associations between screen media time and mental health indicators than boys (e.g., heavy Internet users were 166% more likely to have clinically relevant levels of depressive symptoms than low users among girls, compared to 75% more likely among boys).

CONCLUSION

Thus, not all screen time is created equal; social media and Internet use among adolescent girls are the most strongly associated with compromised mental health. Future research should examine different screen media activities and boys and girls separately where possible. Practitioners should be aware that some types of screen time are more likely to be linked to mental health issues than others.

Mental distress among U.S. adults during the COVID-19 pandemic

Objective

This study aims to document the impact of the COVID‐19 pandemic on mental health.

Method

We compared a nationally representative online sample of 2,032 U.S. adults in late April 2020 to 19,330 U.S. adult internet users who participated in the 2018 National Health Interview Survey (NHIS) using the Kessler‐6 scale of mental distress in the last 30 days.

Results

Compared to the 2018 NHIS sample, U.S. adults in April 2020 were eight times more likely to fit criteria for serious mental distress (27.7% vs. 3.4%) and three times more likely to fit criteria for moderate or serious mental distress (70.4% vs. 22.0%). Differences between the 2018 and 2020 samples appeared across all demographic groups, with larger differences among younger adults and those with children in the household.

Conclusions

These considerable levels of mental distress may portend substantial increases in diagnosed mental disorders and in their associated morbidity and mortality.

U.S. Census Bureau-assessed prevalence of anxiety and depressive symptoms in 2019 and during the 2020 COVID-19 pandemic

BACKGROUND

The disruptions to daily life caused by the coronavirus disease 2019 (COVID-19) pandemic may have impacted mental health, particularly mood disorders. This study aimed to compare prevalence rates of anxiety disorder and depressive disorder in national samples in the U.S. before and during the pandemic.

METHODS

Participants (n = 336,525) were from U.S. Census Bureau-administered nationally representative probability samples, one from the first half of 2019 and four during the pandemic in April and May 2020. All participants completed the Patient Health Questionnaire-2 screening for depressive disorder and the Generalized Anxiety Disorder-2 screening for anxiety disorders.

RESULTS

Compared to U.S. adults in 2019, U.S. adults in April and May 2020 were more than three times as likely to screen positive for depressive disorders, anxiety disorders, or one or both, with more than one out of three screening positive for one or both. The prevalence of anxiety decreased slightly between the April 23-May 4, 2020 and the May 21-26, 2020 administrations, while the prevalence of depression increased slightly.

CONCLUSIONS

U.S. adults in 2020 are considerably more likely to screen positive for mood disorders than in 2019, with anxiety declining and depression increasing from April to May.

Increases in Depression, Self‐Harm, and Suicide Among U.S. Adolescents After 2012 and Links to Technology Use: Possible Mechanisms

Objective

Methods

Results

Conclusions

Depression, self‐harm, suicide, and unhappiness suddenly increased among adolescents after 2012, especially among girls and young women.

Increases in depression among adolescents have been concurrent with increases in digital media use.

Increased digital media and smartphone use may influence mental health via several mechanisms, including displacement and disruption of in‐person social interactions, interference with sleep, cyberbullying, and online information about self‐harm.

The expanding class divide in happiness in the United States, 1972-2016

Is there a growing class divide in happiness? Among U.S. adults ages 30 and over in the nationally representative General Social Survey (N = 44,198), the positive correlation between socioeconomic status (SES; including income, education, and occupational prestige) and happiness grew steadily stronger between the 1970s and 2010s. Associations between income and happiness were linear, with no tapering off at higher levels of income. Between 1972 and 2016, the happiness of high-SES White adults was fairly stable, whereas the happiness of low-SES White adults steadily declined. Among Black adults, the happiness of low-SES adults was fairly stable, whereas the happiness of high-SES adults increased. Thus, the happiness advantage favoring high-SES adults has expanded over the decades. Age-period-cohort analyses based on hierarchical linear modeling demonstrate that this effect is primarily caused by time period rather than by birth cohort or age. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Gender differences in associations between digital media use and psychological well-being: Evidence from three large datasets

INTRODUCTION

Adolescents spend an increasing amount of time using digital media, but gender differences in their use and in associations with psychological well-being are unclear.

METHOD

We drew from three large, representative surveys of 13- to 18-year-old adolescents in the U.S. and UK (total N = 221,096) examining digital media use in hours per day and several measures of psychological well-being separately in each of the three datasets.

RESULTS

Adolescent girls spent more time on smartphones, social media, texting, general computer use, and online, and boys spent more time gaming and on electronic devices in general. Associations between moderate or heavy digital media use and low psychological well-being/mental health issues were generally larger for girls than for boys. Light users of digital media were slightly higher in well-being than non-users, with larger differences among boys. Among both genders, heavy users of digital media were often twice as likely as low users to be low in well-being or have mental health issues, including risk factors for suicide.

CONCLUSIONS

Associations between heavy digital media use and low psychological well-being are larger for adolescent girls than boys.

Correction: Generational and Time Period Differences in American Adolescents' Religious Orientation, 1966-2014

[This corrects the article DOI: 10.1371/journal.pone.0121454.].

Why increases in adolescent depression may be linked to the technological environment

Between 2011 and 2018, rates of depression, self-harm, and suicide attempts increased substantially among U.S. adolescents. The most probable cause(s) of these trends likely 1) began or accelerated during these years, 2) affected a large number of people, 3) impacted everyday life, and 4) were associated with depression. In several large studies, heavy users of technology are twice as likely as light users to be depressed or have low well-being. Cohort declines in face-to-face social interaction may also impact even non-users of digital media. Thus, although technology use is not the cause of most depression, increased time spent on technology and the technological environment may be causes of the sudden increase in depression since 2011.

Media Use Is Linked to Lower Psychological Well-Being: Evidence from Three Datasets

Adolescents spend a substantial and increasing amount of time using digital media (smartphones, computers, social media, gaming, Internet), but existing studies do not agree on whether time spent on digital media is associated with lower psychological well-being (including happiness, general well-being, and indicators of low well-being such as depression, suicidal ideation, and suicide attempts). Across three large surveys of adolescents in two countries (n = 221,096), light users (<1 h a day) of digital media reported substantially higher psychological well-being than heavy users (5+ hours a day). Datasets initially presented as supporting opposite conclusions produced similar effect sizes when analyzed using the same strategy. Heavy users (vs. light) of digital media were 48% to 171% more likely to be unhappy, to be in low in well-being, or to have suicide risk factors such as depression, suicidal ideation, or past suicide attempts. Heavy users (vs. light) were twice as likely to report having attempted suicide. Light users (rather than non- or moderate users) were highest in well-being, and for most digital media use the largest drop in well-being occurred between moderate use and heavy use. The limitations of using percent variance explained as a gauge of practical impact are discussed.

More Time on Technology, Less Happiness? Associations Between Digital-Media Use and Psychological Well-Being

Studies using large samples consistently find that more frequent users of digital media are lower in psychological well-being than less frequent users; even data sets used as evidence for weak effects show that twice as many heavy users (vs. light users) are low in well-being. Differences in perspective may stem from the statistics used; I argue that comparing well-being across levels of digital-media use is more useful than the percentage of variance explained, as most studies on digital-media use do not measure other influences on well-being (e.g., genetics, trauma), and these other influences, unlike frequency of digital-media use, are rarely controllable. Nonusers are generally lower in well-being than light users of digital media, however, suggesting that limited use may be beneficial. Longitudinal and experimental studies suggest that at least some of the causation moves from digital-media use to lower well-being. Mechanisms may include the displacement of activities more beneficial to well-being (sleep, face-to-face social interaction), upward social comparison, and cyberbullying.

Emerging adult reactions to labeling regarding age-group differences in narcissism and entitlement

Both academic and popular literatures have repeatedly contended that emerging adults are the most narcissistic and entitled age-group in modern times. Although this contention is fiercely debated, the message that emerging adults are narcissistic and entitled has saturated popular culture. Despite this saturation, relatively little empirical work has examined how emerging adults might react to such labels. Across three studies in five samples in the U.S., the present work sought to address this deficit in research. Results from cross-sectional samples of university students at two universities, as well as an online convenience sample of web-using adults (Study 1), indicated that emerging adults believe their age-group and the one following them (e.g., adolescents) to be the most narcissistic and entitled age-groups, that they have generally negative opinions of narcissism and entitlement, and that they respond negatively to being labeled as narcissistic and entitled. Additionally, results from adult web-users revealed that, while all age groups tend to view adolescents and emerging adults as more narcissistic and entitled than older age-groups, these opinions are more exaggerated among members of older age-groups. Finally, across two experimental studies (Studies 2 & 3), results indicated that emerging adults react negatively to labeling of their age-group as narcissistic and entitled, but no more negatively than they do to potentially related undesirable labels (e.g., oversensitive). Collectively, these results indicate that emerging adults are aware of and somewhat distressed by messaging that casts their age-group as the most narcissistic and entitled age-group ever.

Age, period, and cohort trends in mood disorder indicators and suicide-related outcomes in a nationally representative dataset, 2005-2017

Drawing from the National Survey on Drug Use and Health (NSDUH; N = 611,880), a nationally representative survey of U.S. adolescents and adults, we assess age, period, and cohort trends in mood disorders and suicide-related outcomes since the mid-2000s. Rates of major depressive episode in the last year increased 52% 2005-2017 (from 8.7% to 13.2%) among adolescents aged 12 to 17 and 63% 2009-2017 (from 8.1% to 13.2%) among young adults 18-25. Serious psychological distress in the last month and suicide-related outcomes (suicidal ideation, plans, attempts, and deaths by suicide) in the last year also increased among young adults 18-25 from 2008-2017 (with a 71% increase in serious psychological distress), with less consistent and weaker increases among adults ages 26 and over. Hierarchical linear modeling analyses separating the effects of age, period, and birth cohort suggest the trends among adults are primarily due to cohort, with a steady rise in mood disorder and suicide-related outcomes between cohorts born from the early 1980s (Millennials) to the late 1990s (iGen). Cultural trends contributing to an increase in mood disorders and suicidal thoughts and behaviors since the mid-2000s, including the rise of electronic communication and digital media and declines in sleep duration, may have had a larger impact on younger people, creating a cohort effect. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Associations between screen time and lower psychological well-being among children and adolescents: Evidence from a population-based study

Previous research on associations between screen time and psychological well-being among children and adolescents has been conflicting, leading some researchers to question the limits on screen time suggested by physician organizations. We examined a large (n = 40,337) national random sample of 2- to 17-year-old children and adolescents in the U.S. in 2016 that included comprehensive measures of screen time (including cell phones, computers, electronic devices, electronic games, and TV) and an array of psychological well-being measures. After 1 h/day of use, more hours of daily screen time were associated with lower psychological well-being, including less curiosity, lower self-control, more distractibility, more difficulty making friends, less emotional stability, being more difficult to care for, and inability to finish tasks. Among 14- to 17-year-olds, high users of screens (7+ h/day vs. low users of 1 h/day) were more than twice as likely to ever have been diagnosed with depression (RR 2.39, 95% CI 1.54, 3.70), ever diagnosed with anxiety (RR 2.26, CI 1.59, 3.22), treated by a mental health professional (RR 2.22, CI 1.62, 3.03) or have taken medication for a psychological or behavioral issue (RR 2.99, CI 1.94, 4.62) in the last 12 months. Moderate use of screens (4 h/day) was also associated with lower psychological well-being. Non-users and low users of screens generally did not differ in well-being. Associations between screen time and lower psychological well-being were larger among adolescents than younger children.

Cultural Individualism Is Linked to Later Onset of Adult-Role Responsibilities Across Time and Regions

This article explores links between cultural individualism and the age at which adult-role responsibilities are assumed (the speed of maturation to adulthood). Across 43 years (1973-2015) within the United States, yearly indicators of individualism were positively correlated with later onset of work and family responsibilities (a slow life strategy). The same pattern appeared cross-culturally: Across 53 nations, cultural individualism was significantly correlated with slower maturation to adulthood. These links remained over time and cross-culturally when unemployment rate, an indicator of economic strength, was included in the model. Analyses including GDP showed mixed results, suggesting a complex relationship between economic indicators, individualism, and maturation to adulthood. Across nations and time, more individualistic cultures are also those with slower maturation to adulthood (a slow life strategy).

Decreases in psychological well-being among American adolescents after 2012 and links to screen time during the rise of smartphone technology

In nationally representative yearly surveys of United States 8th, 10th, and 12th graders 1991-2016 (N = 1.1 million), psychological well-being (measured by self-esteem, life satisfaction, and happiness) suddenly decreased after 2012. Adolescents who spent more time on electronic communication and screens (e.g., social media, the Internet, texting, gaming) and less time on nonscreen activities (e.g., in-person social interaction, sports/exercise, homework, attending religious services) had lower psychological well-being. Adolescents spending a small amount of time on electronic communication were the happiest. Psychological well-being was lower in years when adolescents spent more time on screens and higher in years when they spent more time on nonscreen activities, with changes in activities generally preceding declines in well-being. Cyclical economic indicators such as unemployment were not significantly correlated with well-being, suggesting that the Great Recession was not the cause of the decrease in psychological well-being, which may instead be at least partially due to the rapid adoption of smartphones and the subsequent shift in adolescents' time use. (PsycINFO Database Record

Declines in Sexual Frequency among American Adults, 1989-2014

American adults had sex about nine fewer times per year in the early 2010s compared to the late 1990s in data from the nationally representative General Social Survey, N = 26,620, 1989-2014. This was partially due to the higher percentage of unpartnered individuals, who have sex less frequently on average. Sexual frequency declined among the partnered (married or living together) but stayed steady among the unpartnered, reducing the marital/partnered advantage for sexual frequency. Declines in sexual frequency were similar across gender, race, region, educational level, and work status and were largest among those in their 50s, those with school-age children, and those who did not watch pornography. In analyses separating the effects of age, time period, and cohort, the decline was primarily due to birth cohort (year of birth, also known as generation). With age and time period controlled, those born in the 1930s (Silent generation) had sex the most often, whereas those born in the 1990s (Millennials and iGen) had sex the least often. The decline was not linked to longer working hours or increased pornography use. Age had a strong effect on sexual frequency: Americans in their 20s had sex an average of about 80 times per year, compared to about 20 times per year for those in their 60s. The results suggest that Americans are having sex less frequently due to two primary factors: An increasing number of individuals without a steady or marital partner and a decline in sexual frequency among those with partners.

Sexual Inactivity During Young Adulthood Is More Common Among U.S. Millennials and iGen: Age, Period, and Cohort Effects on Having No Sexual Partners After Age 18

Examining age, time period, and cohort/generational changes in sexual experience is key to better understanding sociocultural influences on sexuality and relationships. Americans born in the 1980s and 1990s (commonly known as Millennials and iGen) were more likely to report having no sexual partners as adults compared to GenX'ers born in the 1960s and 1970s in the General Social Survey, a nationally representative sample of American adults (N = 26,707). Among those aged 20-24, more than twice as many Millennials born in the 1990s (15 %) had no sexual partners since age 18 compared to GenX'ers born in the 1960s (6 %). Higher rates of sexual inactivity among Millennials and iGen also appeared in analyses using a generalized hierarchical linear modeling technique known as age-period-cohort analysis to control for age and time period effects among adults of all ages. Americans born early in the 20th century also showed elevated rates of adult sexual inactivity. The shift toward higher rates of sexual inactivity among Millennials and iGen'ers was more pronounced among women and absent among Black Americans and those with a college education. Contrary to popular media conceptions of a "hookup generation" more likely to engage in frequent casual sex, a higher percentage of Americans in recent cohorts, particularly Millennials and iGen'ers born in the 1990s, had no sexual partners after age 18.

Self-Esteem and Socioeconomic Status: A Meta-Analytic Review

Socioeconomic status (SES) has a small but significantrelationship with self-esteem (d = .15, r = .08) in a meta-analysis of 446 samples (total participant N = 312,940). Higher SES individuals report higher self-esteem. The effect size is very small in young children, increases substantially during young adulthood, continues higher until middle age, and is then smaller for adults over the age of 60. Gender interacts with birth cohort: The effect size increased over time for women but decreased over time for men. Asians and Asian Americans show a higher effect size, and occupation and education produce higher correlations with self-esteem than income does. The results are most consistent with a social indicator or salience model.

Age and Birth Cohort Differences in Self-Esteem: A Cross-Temporal Meta-Analysis

A meta-analytic review finds that college students' self-esteem increased substantially between 1968 and 1994 when measured using the Rosenberg Self-Esteem Scale (RSE). Children's scores on the Coopersmith Self-Esteem Inventory (SEI) show a curvilinear pattern over time, decreasing from 1965 to 1979 and increasing from 1980 to 1993. Children's SEI scores are directly correlated with social statistics (e.g., divorce rate, unemployment) for the corresponding years. Analyses for age differences find that SEI scores decrease slightly during the transition from elementary school to junior high and then rise progressively through high school and college. RSE scores increase steadily with age. Results are discussed in terms of the antecedents of self-esteem, including social acceptance, competencies, and the culture of self-worth.

It's Beyond My Control: A Cross-Temporal Meta-Analysis of Increasing Externality in Locus of Control, 1960-2002

Two meta-analyses found that young Americans increasingly believe their lives are controlled by outside forces rather than their own efforts. Locus of control scores became substantially more external (about .80 standard deviations) in college student and child samples between 1960 and 2002. The average college student in 2002 had a more external locus of control than 80% of college students in the early 1960s. Birth cohort/time period explains 14% of the variance in locus of control scores. The data included 97 samples of college students (n = 18,310) and 41 samples of children ages 9 to 14 (n = 6,554) gathered from dissertation research. The results are consistent with an alienation model positing increases in cynicism, individualism, and the self-serving bias. The implications are almost uniformly negative, as externality is correlated with poor school achievement, helplessness, ineffective stress management, decreased self-control, and depression.

The Disruptive Effect of Self-Objectification on Performance

Self-objectification is the act of viewing the self, particularly the body, from a third-person perspective. Objectification theory proposes numerous negative consequences for those who self-objectify, including decreased performance through the disruption of focused attention. In the current study, we examined whether women in a state of self-objectification were slower to respond to a basic Stroop color-naming task. Results showed that regardless of the type of word (color words, body words, or neutral words), participants in a state of self-objectification exhibited decreased performance. This study lends further evidence to objectification theory and highlights the negative performance ramifications of state self-objectification.

Changes in American Adults' Reported Same-Sex Sexual Experiences and Attitudes, 1973-2014

We examined change over time in the reported prevalence of men having sex with men and women having sex with women and acceptance of those behaviors in the nationally representative General Social Survey of U.S. adults (n's = 28,161-33,728, ages 18-96 years), 1972-2014. The number of U.S. adults who had at least one same-sex partner since age 18 doubled between the early 1990s and early 2010s (from 3.6 to 8.7 % for women and from 4.5 to 8.2 % for men). Bisexual behavior (having sex with both male and female partners) increased from 3.1 to 7.7 %, accounting for much of the rise, with little consistent change in those having sex exclusively with same-sex partners. The increase in same-sex partners was larger for women than for men, consistent with erotic plasticity theory. Attitudes toward same-sex sexual behavior also became substantially more accepting, d = .75, between the early 1970s and early 2010s. By 2014, 49 % of American adults believed that same-sex sexual activity was "not wrong at all," up from 11 % in 1973 and 13 % in 1990. Controlling for acceptance reduced, but did not eliminate, the increase in same-sex behavior over time. Mixed effects (hierarchical linear modeling) analyses separating age, time period, and cohort showed that the trends were primarily due to time period. Increases in same-sex sexual behavior were largest in the South and Midwest and among Whites, were mostly absent among Blacks, and were smaller among the religious. Overall, same-sex sexual behavior has become both more common (or at least more commonly reported) and more accepted.

More Polarized but More Independent

In three nationally representative surveys of U.S. residents ( N = 10 million) from 1970 to 2015, more Americans in the early 2010s (vs. previous decades) identified as Independent, including when age effects were controlled. More in the early 2010s (vs. previous decades) expressed polarized political views, including stronger political party affiliation or more extreme ideological self-categorization (liberal vs. conservative) with fewer identifying as moderate. The correlation between party affiliation and ideological views grew stronger over time. The overall trend since the 1970s was toward more Americans identifying as Republican or conservative. Older adults were more likely to identify as conservative and Republican. More Millennials (born 1980-1994) identify as conservative than either GenXers or Boomers did at the same age, and fewer are Democrats compared with Boomers. These trends are discussed in the context of social identification processes and their implications for the political dynamics in the United States.

“Isn’t It Fun to Get the Respect That We’re Going to Deserve?” Narcissism, Social Rejection, and Aggression

Across four studies, narcissists were more angry and aggressive after experiencing a social rejection than were nonnarcissists. In Study 1, narcissism was positively correlated with feelings of anger and negatively correlated with more internalized negative emotions in a self-reported, past episode of social rejection. Study 2 replicated this effect for a concurrent lab manipulation of social rejection. In Study 3, narcissists aggressed more against someone who rejected them (i.e., direct aggression). In Study 4, narcissists were also more aggressive toward an innocent third party after experiencing social rejection (i.e., displaced aggression). Narcissists were not more aggressive after social acceptance. Self-esteem plays little role in predicting aggression in response to rejection. These results suggest that the combination of narcissism and social rejection is a powerful predictor of aggressive behavior.

“Mrs. His Name”: Women's Preferences For Married Names

Psychologists have long acknowledged the link between names and identity, but little research has studied women's choices about their married names. This study examines the descriptive characteristics of women who plan different choices and women's reasoning behind their choices in a sample of undergraduate women. Women who wish to keep or hyphenate their names have more feminist attitudes, score higher on instrumentality/agency, and are more likely to be immigrants and/or women of color. Content coding of open-ended responses on reasons for name choices showed those who want their husbands' names for themselves and their children most often cited tradition, a denial that names were linked with identity, and union within marriage. Women who want to keep or hyphenate their names mentioned the link between names and identity, professional reasons, and also union within marriage. The two groups often used similar language to explain different choices.

Mapping Gender

Recent theoretical and empirical work on gender-related attributes suggests a multifactorial approach, with masculine and feminine characteristics composed of many different areas: instrumentality/expressiveness in personality, occupations and leisure interests, physical/material attributes, stylistic and symbolic behaviors, social relationships, feminist attitudes, and self-rated masculinity/femininity. This article tests the multifactorial approach by measuring variables in every area by questionnaire and videotape in a sample of undergraduates. Bivariate correlations and factor analysis reveal a robust factor linking occupations and leisure interests for both men and women. Women's gender-related attributes show little coherence outside this factor. Men display a “male dominance” factor connecting low expressiveness, sports interest, male friends, sitting with knees wide apart, and conservative attitudes toward feminism. The results support a multifactorial approach but also uphold a link for men between masculine attributes and more traditional attitudes toward gender roles.

What is a Feminist?

This article outlines the evaluation and stereotype of feminists, based on responses to closed-ended semantic differential traits as well as open-ended, projective responses to a hypothetical male or female feminist. Consistent across both methodologies, undergraduate respondents (Study 1: N=210; Study 2: N=135) viewed feminists as politically liberal, assertive/career oriented, and more likely to be heterosexual than lesbian. Most evaluations were neutral to slightly positive, with a few negative areas. However, feminists were seen in less positive terms than the typical woman and were described as much more assertive and politically liberal. Gender, race, birth cohort, gender of target, and feminist-attitude differences are presented. Despite the neutral to slightly positive evaluation, most respondents did not personally identify as feminists, possibly because they misperceive others' attitudes toward feminists as more negative than they actually are.

Attitudes Toward Women, 1970–1995

The social climate for women has changed considerably since the Attitudes Toward Women Scale (AWS; Spence & Helmreich, 1972a) was developed in the early 1970s, but the pattern of change in AWS scores throughout the 1970s, 1980s, and 1990s is unclear. Published reports of data from 71 samples of American undergraduates responding to the AWS were located and analyzed for differences across time (1970–1995) and region (South and non-South). Women's AWS scores were strongly correlated with year of scale administration ( r = .78, p < .001), and men's scores showed a similar trend toward more liberal/feminist attitudes ( r = .60, p < .001). Scores show a steady trend toward more liberal/feminist attitudes, with no appreciable reversal or slowdown during the 1980s. Gender differences steadily increased from 1970 to 1985 and decreased from 1986 to 1995. Southern samples were marginally more conservative/traditional. The results are discussed in terms of generational differences, the effects of maternal employment on attitudes, and the individual's experience of cultural change.