Cognitive Functioning and the Quality of Survey Responses: An Individual Participant Data Meta-Analysis of 10 Epidemiological Studies of Aging

OBJECTIVES

Self-reported survey data are essential for monitoring the health and well-being of the population as it ages. For studies of aging to provide precise and unbiased results, it is necessary that the self-reported information meets high psychometric standards. In this study, we examined whether the quality of survey responses in panel studies of aging depends on respondents' cognitive abilities.

METHODS

Over 17 million survey responses from 157,844 participants aged 50 years and older in 10 epidemiological studies of aging were analyzed. We derived 6 common statistical indicators of response quality from each participant's data and estimated the correlations with participants' cognitive test scores at each study wave. Effect sizes (correlations) were synthesized across studies, cognitive tests, and waves using individual participant data meta-analysis methods.

RESULTS

Respondents with lower cognitive scores showed significantly more missing item responses (overall effect size ρ^ = -0.144), random measurement error (ρ^ = -0.192), Guttman errors (ρ^ = -0.233), multivariate outliers (ρ^ = -0.254), and acquiescent responses (ρ^ = -0.078); the overall effect for extreme responses (ρ^ = -0.045) was not significant. Effect sizes were consistent across studies, modes of survey administsration, and different cognitive functioning domains, although some cognitive domain specificity was also observed.

DISCUSSION

Lower-quality responses among respondents with lower cognitive abilities add random and systematic errors to survey measures, reducing the reliability, validity, and reproducibility of survey study results in aging research.

Ecological risk and protective factors for food insufficiency in Los Angeles County during the COVID-19 pandemic

OBJECTIVE

The COVID-19 pandemic increased food insufficiency: a severe form of food insecurity. Drawing on an ecological framework, we aimed to understand factors that contributed to changes in food insufficiency from April to December 2020, in a large urban population hard hit by the pandemic.

DESIGN

We conducted internet surveys every 2 weeks in April-December 2020, including a subset of items from the Food Insecurity Experience Scale. Longitudinal analysis identified predictors of food insufficiency, using fixed effects models.

SETTING

Los Angeles County, which has a diverse population of 10 million residents.

PARTICIPANTS

A representative sample of 1535 adults in Los Angeles County who are participants in the Understanding Coronavirus in America tracking survey.

RESULTS

Rates of food insufficiency spiked in the first year of the pandemic, especially among participants living in poverty, in middle adulthood and with larger households. Government food assistance from the Supplemental Nutrition Assistance Program was significantly associated with reduced food insufficiency over time, while other forms of assistance such as help from family and friends or stimulus funds were not.

CONCLUSIONS

The findings highlight that during a crisis, there is value in rapidly monitoring food insufficiency and investing in government food benefits.

Effects of Excluding Those Who Report Having "Syndomitis" or "Chekalism" on Data Quality: Longitudinal Health Survey of a Sample From Amazon's Mechanical Turk

BACKGROUND

Researchers have implemented multiple approaches to increase data quality from existing web-based panels such as Amazon's Mechanical Turk (MTurk).

OBJECTIVE

This study extends prior work by examining improvements in data quality and effects on mean estimates of health status by excluding respondents who endorse 1 or both of 2 fake health conditions ("Syndomitis" and "Chekalism").

METHODS

Survey data were collected in 2021 at baseline and 3 months later from MTurk study participants, aged 18 years or older, with an internet protocol address in the United States, and who had completed a minimum of 500 previous MTurk "human intelligence tasks." We included questions about demographic characteristics, health conditions (including the 2 fake conditions), and the Patient Reported Outcomes Measurement Information System (PROMIS)-29+2 (version 2.1) preference-based score survey. The 3-month follow-up survey was only administered to those who reported having back pain and did not endorse a fake condition at baseline.

RESULTS

In total, 15% (996/6832) of the sample endorsed at least 1 of the 2 fake conditions at baseline. Those who endorsed a fake condition at baseline were more likely to identify as male, non-White, younger, report more health conditions, and take longer to complete the survey than those who did not endorse a fake condition. They also had substantially lower internal consistency reliability on the PROMIS-29+2 scales than those who did not endorse a fake condition: physical function (0.69 vs 0.89), pain interference (0.80 vs 0.94), fatigue (0.80 vs 0.92), depression (0.78 vs 0.92), anxiety (0.78 vs 0.90), sleep disturbance (-0.27 vs 0.84), ability to participate in social roles and activities (0.77 vs 0.92), and cognitive function (0.65 vs 0.77). The lack of reliability of the sleep disturbance scale for those endorsing a fake condition was because it includes both positively and negatively worded items. Those who reported a fake condition reported significantly worse self-reported health scores (except for sleep disturbance) than those who did not endorse a fake condition. Excluding those who endorsed a fake condition improved the overall mean PROMIS-29+2 (version 2.1) T-scores by 1-2 points and the PROMIS preference-based score by 0.04. Although they did not endorse a fake condition at baseline, 6% (n=59) of them endorsed at least 1 of them on the 3-month survey and they had lower PROMIS-29+2 score internal consistency reliability and worse mean scores on the 3-month survey than those who did not report having a fake condition. Based on these results, we estimate that 25% (1708/6832) of the MTurk respondents provided careless or dishonest responses.

CONCLUSIONS

This study provides evidence that asking about fake health conditions can help to screen out respondents who may be dishonest or careless. We recommend this approach be used routinely in samples of members of MTurk.

Using Item Response Times in Online Questionnaires to Detect Mild Cognitive Impairment

OBJECTIVES

With the increase in web-based data collection, response times (RTs) for survey items have become a readily available byproduct in most online studies. We examined whether RTs in online questionnaires can prospectively discriminate between cognitively normal respondents and those with cognitive impairment, no dementia (CIND).

METHOD

Participants were 943 members of a nationally representative internet panel, aged 50 and older. We analyzed RTs that were passively recorded as paradata for 37 surveys (1,053 items) administered online over 6.5 years. A multilevel location-scale model derived 3 RT parameters for each survey: (1) a respondent's average RT and 2 components of intraindividual RT variability addressing (2) systematic RT adjustments and (3) unsystematic RT fluctuations. CIND status was determined at the end of the 6.5-year period.

RESULTS

All 3 RT parameters were significantly associated with CIND, with a combined predictive accuracy of area under the receiver-operating characteristic curve = 0.74. Slower average RTs, smaller systematic RT adjustments, and greater unsystematic RT fluctuations prospectively predicted a greater likelihood of CIND over periods of up to 6.5, 4.5, and 1.5 years, respectively.

DISCUSSION

RTs for survey items are a potential early indicator of CIND, which may enhance analyses of predictors, correlates, and consequences of cognitive impairment in online survey research.

Behind closed doors: Protective social behavior during the COVID-19 pandemic

The success of personal non-pharmaceutical interventions as a public health strategy requires a high level of compliance from individuals in private social settings. Strategies to increase compliance in these hard-to-reach settings depend upon a comprehensive understanding of the patterns and predictors of protective social behavior. Social cognitive models of protective behavior emphasize the contribution of individual-level factors while social-ecological models emphasize the contribution of environmental factors. This study draws on 28 waves of survey data from the Understanding Coronavirus in America survey to measure patterns of adherence to two protective social behaviors-private social-distancing behavior and private masking behavior-during the COVID-19 pandemic and to assess the role individual and environmental factors play in predicting adherence. Results show that patterns of adherence fall into three categories marked by high, moderate, and low levels of adherence, with just under half of respondents exhibiting a high level of adherence. Health beliefs emerge as the single strongest predictor of adherence. All other environmental and individual-level predictors have relatively poor predictive power or primarily indirect effects.

Using Attributes of Survey Items to Predict Response Times May Benefit Survey Research

Researchers have become increasingly interested in response times to survey items as a measure of cognitive effort. We used machine learning to develop a prediction model of response times based on 41 attributes of survey items (e.g., question length, response format, linguistic features) collected in a large, general population sample. The developed algorithm can be used to derive reference values for expected response times for most commonly used survey items.

Role of Parents' Perceived Risk and Responsibility in Deciding on Children's COVID-19 Vaccination

OBJECTIVES

We examined associations between parents' reports for whether their children had been vaccinated against coronavirus disease 2019 (COVID-19) and parents' perceptions of the vaccine's long-term risk, as well as their own sense of responsibility on deciding to vaccinate or not vaccinate their children.

METHODS

During the period when the Omicron variant was dominant (February-March 2022), we surveyed parents from a nationally representative, probability-based Internet panel about vaccination of their school-aged children, perceptions that the vaccine's long-term risk exceeds risks without vaccination (henceforth: comparative long-term risk), their tendency to feel more responsible if their child became sick from vaccination than when unvaccinated (henceforth: anticipated responsibility), and their own vaccination status. We used multivariate analyses to assess associations of children's COVID-19 vaccination with parental comparative long-term risk perceptions, anticipated responsibility, parents' vaccination status, and demographics.

RESULTS

Among 1715 parent respondents (71% of eligible), 45% perceived vaccine-related comparative long-term risk and 18% perceived greater anticipated responsibility from vaccination than no vaccination. After accounting for parental vaccination, parents who were more concerned about comparative long-term risk and who reported greater anticipated responsibility were 6% (95% confidence interval, -0.09 to -0.03; P < .001) and 19% (95% confidence interval, -0.15 to -0.23; P < .001) less likely to have vaccinated their children, respectively. Findings were driven by vaccinated parents.

CONCLUSIONS

Parents' perceptions of the COVID-19 vaccine's long-term comparative risk and their greater anticipated responsibility for children getting sick if vaccinated (versus not) were associated with lower vaccine uptake among children of vaccinated parents.

Identifying Cognitive Impairment Among Older Participants in a Nationally Representative Internet Panel

OBJECTIVES

The Health and Retirement Study Telephone Interview for Cognitive Status (HRS TICS) score and its associated Langa-Weir cutoffs are widely used as indicators of cognitive status for research purposes in population-based studies. The classification is based on in-person and phone interviews of older individuals. Our purpose was to develop a corresponding classification for web-based self-administered assessments.

METHODS

Participants were 925 members of a nationally representative internet panel, all aged 50 and older. We conducted (a) a phone interview comprised of cognitive items used to construct the HRS TICS score, and (b) a web counterpart with self-administered cognitive items, while also considering (c) other already administered web-based cognitive tests and instrumental activities of daily living survey questions, all from the same respondents.

RESULTS

The web-administered HRS TICS items have only modest correlations with the same phone items, although neither mode showed universally higher scores than the other. Using latent variable modeling, we created a probability of cognitive impairment score for the web-based battery that achieved good correspondence to the phone Langa-Weir classification.

DISCUSSION

The results permit analyses of predictors, correlates, and consequences of cognitive impairment in web surveys where relevant cognitive test and functional abilities items are available. We discuss challenges and caveats that may affect the findings.

Regular Cannabis Use During the First Year of the Pandemic: Studying Trajectories Rather Than Prevalence

INTRODUCTION

Cannabis use in the U.S. rose early in the COVID-19 pandemic, but it is unclear whether that rise was temporary or permanent. This study estimated the nature and sociodemographic correlates of U.S. adult subpopulations regularly using cannabis by examining weekly trajectories of use during the first year of the pandemic.

METHODS

Data came from the Understanding America Study, a nationally representative panel of U.S. adults (N=8,397; March 10, 2020-March 29, 2021). A growth mixture model was deployed to identify subgroups with similar regular cannabis use. Sociodemographic correlates of subgroups were examined using multinomial logistic regression.

RESULTS

Four cannabis-use groups were identified. Most participants did not regularly use cannabis (no regular use; 81.7%). The other groups increased regular use until April 2020 but then diverged. Some (7.1%) decreased thereafter, whereas others (3.4%) maintained their elevated use until October 26, 2020 before decreasing. The last group (7.7%) sustained their elevated use throughout. Individuals aged between 18 and 39 years, unmarried, living in poverty, without a college degree, and with longer unemployment or underemployment spells had higher odds of being in the other groups with more weekly use than in the no-regular-use group.

CONCLUSIONS

The analyses revealed population subgroups with prolonged regular cannabis use and a disproportionate concentration of socioeconomically vulnerable members of society in these subgroups. These findings elucidate important heterogeneity in the subpopulations using cannabis, highlighting the urgent need to tailor public health programs for subgroups that may have unique service needs.

Born to be wild: Second-to-fourth digit length ratio and risk preferences

The second-to-fourth digit length ratio of an individual's hand (digit ratio) is a putative biomarker for prenatal exposure to testosterone. We examine the hypothesized negative association between the digit ratio and the preference for risk taking within a large U.S. population survey. Our statistical framework provides a cardinal proxy for the true digit ratio based on ordinal digit ratio measurements and accounts for measurement error under the assumptions of Gaussianity and time-invariant true digit ratios. Our empirical findings support the hypothesis and suggest a meaningful biological basis for risk preferences.

School-Age Children's Wellbeing and School-Related Needs During the COVID-19 Pandemic

BACKGROUND AND OBJECTIVES

The COVID-19 pandemic and related school closures may have disrupted school-related supports and services important to children's wellbeing. However, we lack national data about US children's wellbeing and family priorities for school-related services. We sought to determine 1) children's social-emotional wellbeing and 2) needs and priorities for school-based services in the 2021-2022 school year among a US sample of parents of school-aged children.

METHODS

In June 2021, we surveyed 1504 parents of children enrolling in grades K-12 in the 2021-2022 school year participating in the Understanding America Study, a nationally representative probability-based Internet panel of families completing regular internet-based surveys (Response rate to this survey was 79.2%). Parents completed the Strengths and Difficulties Questionnaire and reported their needs for school-related services regarding "support getting healthcare", "mental wellness support", "food, housing, legal or transportation support", and "learning supports and enrichment." Weighted regressions examined associations among wellbeing, needs, and sociodemographic characteristics.

RESULTS

Approximately one-quarter of children had deficits in hyperactivity (26.1%), one-third in peer problems (32.6%), and 40% in prosocial areas. Most parents (83.5%) reported a school-related need, with 77% reporting learning supports and enrichment needs and 57% reporting mental wellness needs. The highest priority needs were for tutoring, socialization, increased instructional time, coping with stress, and physical activity.

CONCLUSIONS

US school children have high social-emotional and school-related needs. Investments in schools are urgently needed, particularly for learning supports and mental wellness, to meet the high demand for services and parents' priorities to support child health and wellbeing.

Influence of Perceived Adolescent Vaccination Desire on Parent Decision for Adolescent COVID-19 Vaccination

PURPOSE

The purpose of this study was to assess the influence of adolescents' desire for COVID-19 vaccination on their parents' vaccination decision for their adolescent.

METHODS

We surveyed an internet-based panel of 1,051 parents of 1,519 adolescents aged 11-18 years from February to March 2021 about their adolescent's desire for COVID-19 vaccination and whether they consider this desire in their vaccination decision for the adolescent. We used multivariable Poisson regression to assess associations with parent-stated likelihood of adolescent vaccination.

RESULTS

A total of 58.3% of parents reported that they and their adolescents had the same vaccination desire; similarly, 58.3% considered their adolescent's desire in their vaccination decision. These latter parents were more likely to vaccinate their adolescent than parents who did not consider their adolescent's desire (adjusted risk ratio = 1.25 [95% confidence interval = 1.05-1.50]).

DISCUSSION

Most parents considered their adolescent's desire for COVID-19 vaccination. These parents were more likely to state that they will have their adolescent receive a COVID-19 vaccine.

Subtle mistakes in self-report surveys predict future transition to dementia

INTRODUCTION

We investigate whether indices of subtle reporting mistakes derived from responses in self-report surveys are associated with dementia risk.

METHODS

We examined 13,831 participants without dementia from the prospective, population-based Health and Retirement Study (mean age 69 ± 10 years, 59% women). Participants' response patterns in 21 questionnaires were analyzed to identify implausible responses (multivariate outliers), incompatible responses (Guttman errors), acquiescent responses, random errors, and the proportion of skipped questions. Subsequent incident dementia was determined over up to 10 years of follow-up.

RESULTS

During follow-up, 2074 participants developed dementia and 3717 died. Each of the survey response indices was associated with future dementia risk controlling for confounders and accounting for death as a competing risk. Stronger associations were evident for participants who were younger and cognitively normal at baseline.

DISCUSSION

Mistakes in the completion of self-report surveys in longitudinal studies may be early indicators of dementia among middle-aged and older adults.

The role of trust in the likelihood of receiving a COVID-19 vaccine: Results from a national survey

High acceptance of coronavirus disease 2019 (COVID-19) vaccines is instrumental to ending the pandemic. Vaccine acceptance by subgroups of the population depends on their trust in COVID-19 vaccines. We surveyed a probability-based internet panel of 7832 adults from December 23, 2020-January 19, 2021 about their likelihood of getting a COVID-19 vaccine and the following domains of trust: an individual's generalized trust, trust in COVID-19 vaccine's efficacy and safety, trust in the governmental approval process and general vaccine development process for COVID-19 vaccines, trust in their physician about COVID-19, and trust in other sources about COVID-19. We included identified at-risk subgroups: healthcare workers, older adults (65-74-year-olds and ≥ 75-year-olds), frontline essential workers, other essential workers, and individuals with high-risk chronic conditions. Of 5979 respondents, only 57.4% said they were very likely or somewhat likely to get a COVID-19 vaccine. More hesitant respondents (p < 0.05) included: women, young adults (18-49 years), Blacks, individuals with lower education, those with lower income, and individuals without high-risk chronic conditions. Lack of trust in the vaccine approval and development processes explained most of the demographic variation in stated vaccination likelihood, while other domains of trust explained less variation. We conclude that hesitancy for COVID-19 vaccines is high overall and among at-risk subgroups, and hesitancy is strongly tied to trust in the vaccine approval and development processes. Building trust is critical to ending the pandemic.

Changes in COVID-19 Vaccine Intent From April/May to June/July 2021

This study uses data from a nationally representative longitudinal study of adults in the US to examine individual-level change in vaccine intent and uptake between April and July 2021.

Estimating influences of unemployment and underemployment on mental health during the COVID-19 pandemic: who suffers the most?

OBJECTIVES

The aim of the study was to evaluate whether unemployment and underemployment are associated with mental distress and whether employment insecurity and its mental health consequences are disproportionately concentrated among specific social groups in the United States during the COVID-19 pandemic.

STUDY DESIGN

This is a population-based longitudinal study.

METHODS

Data came from the Understanding America Study, a population-based panel in the United States. Between April and May 2020, 3548 adults who were not out of the labor force were surveyed. Analyses using targeted maximum likelihood estimation examined the association of employment insecurity with depression, assessed using the 2-item Patient Health Questionnaire, and anxiety, measured with the 2-item Generalized Anxiety Disorder scale. Stratified models were evaluated to examine whether employment insecurity and its mental health consequences are disproportionately concentrated among specific social groups.

RESULTS

Being unemployed or underemployed was associated with increased odds of having depression (adjusted odds ratio [AOR] = 1.66, 95% confidence interval [CI] = 1.36-2.02) and anxiety (AOR = 1.50, 95% CI = 1.26, 1.79), relative to having a full-time job. Employment insecurity was disproportionately concentrated among Hispanics (54.3%), Blacks (60.6%), women (55.9%), young adults (aged 18-29 years; 57.0%), and those without a college degree (62.7%). Furthermore, Hispanic workers, subsequent to employment insecurity, experienced worse effects on depression (AOR = 2.08, 95% CI = 1.28, 3.40) and anxiety (AOR = 1.95, 95% CI = 1.24, 3.09). Those who completed high school or less reported worse depression subsequent to employment insecurity (AOR = 2.44, 95% CI = 1.55, 3.85).

CONCLUSIONS

Both unemployment and underemployment threaten mental health during the pandemic, and the mental health repercussions are not felt equally across the population. Employment insecurity during the pandemic should be considered an important public health concern that may exacerbate pre-existing mental health disparities during and after the pandemic.

Likelihood of COVID-19 vaccination by subgroups across the US: post-election trends and disparities

The coronavirus disease 2019 (COVID-19) pandemic has disproportionately impacted older individuals, those with lower educational attainment, and Black and Hispanic populations, yet vaccine hesitancy remains prevalent. Because widespread uptake of COVID-19 vaccines is critical to end the pandemic, addressing vaccine hesitancy is an important public health priority. Between April 1, 2020 and March 16, 2021, we have repeatedly surveyed a nationally representative online panel of adults and have tracked their stated likelihood of getting COVID-19 vaccinations. We present new evidence that in recent months disparities in self-reported likelihood of COVID-19 vaccination have narrowed by race/ethnicity, with an increasing proportion of Black individuals and Hispanic individuals indicating that they are likely to get a vaccine. At the same time, younger adults have progressively become less likely than older adults to state they will get a COVID-19 vaccine. Most vaccine-hesitant individuals are concerned about both vaccine efficacy and safety and do not trust the vaccine development or vaccine approval process. We conclude that outreach efforts to minority populations may be achieving their objectives in raising confidence in COVID-19 vaccines, but special outreach efforts are needed to address both vaccine hesitancy among younger adults and mistrust in the vaccine development and approval process.

Parents' Intentions and Perceptions About COVID-19 Vaccination for Their Children: Results From a National Survey

OBJECTIVES

Assess the degree to which US parents are likely to have their children get coronavirus disease 2019 (COVID-19) vaccines and identify parental concerns about the vaccines.

METHODS

In February 2021 to March 2021, we surveyed parent members of a nationally representative probability-based Internet panel of ∼9000 adults regarding their intent to have their children receive a COVID-19 vaccination, perceptions of COVID-19 vaccines for children, and trust in sources of information about COVID-19 vaccines for children. We used descriptive and multivariate analyses to evaluate parent-stated likelihood of having their children get a COVID-19 vaccine and to assess the association between likelihood of child COVID-19 vaccination and child age, parent demographics, and parental perceptions about COVID-19 vaccines.

RESULTS

Altogether, 1745 parents responded (87% of eligible parents, 3759 children). Likelihood of child COVID-19 vaccination was as follows: very likely (28%), somewhat likely (18%), somewhat unlikely (9%), very unlikely (33%), and unsure (12%). The stated likelihood of child vaccination was greater among parents of older children (P < .001) as well as among parents who had a bachelor's degree or higher education (P < .001), had already received or were likely to receive a COVID-19 vaccine (P < .001), or had Democratic affiliation (P < .001); variations existed by race and ethnicity (P = .04). Parental concerns centered around vaccine safety and side effects. A key trusted source of information about COVID-19 vaccines for children was the child's doctor.

CONCLUSIONS

Less than one-half of US participants report that they are likely to have their child receive a COVID-19 vaccine. Pediatric health care providers have a major role in promoting and giving COVID-19 vaccination for children.

COVID-19 vaccines and mental distress

BACKGROUND

The COVID-19 pandemic brought about large increases in mental distress. The uptake of COVID-19 vaccines is expected to significantly reduce health risks, improve economic and social outcomes, with potential benefits to mental health.

PURPOSE

To examine short-term changes in mental distress following the receipt of the first dose of the COVID-19 vaccine.

METHODS

Participants included 8,003 adults from the address-based sampled, nationally representative Understanding America Study (UAS), surveyed at regular intervals between March 10, 2020, and March 31, 2021 who completed at least two waves of the survey. Respondents answered questions about COVID-19 vaccine status and self-reported mental distress as measured with the four-item Patient Health Questionnaire (PHQ-4). Fixed-effects regression models were used to identify the change in PHQ-4 scores and categorical indicators of mental distress resulting from the application of the first dose of the COVID-19 vaccine.

RESULTS

People who were vaccinated between December 2020 and March 2021 reported decreased mental distress levels in the surveys conducted after receiving the first dose. The fixed-effects estimates show an average effect of receiving the vaccine equivalent to 4% of the standard deviation of PHQ-4 scores (p-value<0.01), a reduction in 1 percentage point (4% reduction from the baseline level) in the probability of being at least mildly depressed, and of 0.7 percentage points (15% reduction from the baseline level) in the probability of being severely depressed (p-value = 0.06).

CONCLUSIONS

Getting the first dose of COVID-19 resulted in significant improvements in mental health, beyond improvements already achieved since mental distress peaked in the spring of 2020.

Trajectories of Mental Distress Among U.S. Adults During the COVID-19 Pandemic

Background

Cross-sectional studies have found that the coronavirus disease 2019 (COVID-19) pandemic has negatively affected population-level mental health. Longitudinal studies are necessary to examine trajectories of change in mental health over time and identify sociodemographic groups at risk for persistent distress.

Purpose

To examine the trajectories of mental distress between March 10 and August 4, 2020, a key period during the COVID-19 pandemic.

Methods

Participants included 6,901 adults from the nationally representative Understanding America Study, surveyed at baseline between March 10 and 31, 2020, with nine follow-up assessments between April 1 and August 4, 2020. Mixed-effects logistic regression was used to examine the association between date and self-reported mental distress (measured with the four-item Patient Health Questionnaire) among U.S. adults overall and among sociodemographic subgroups defined by sex, age, race/ethnicity, household structure, federal poverty line, and census region.

Results

Compared to March 11, the odds of mental distress among U.S. adults overall were 1.84 (95% confidence interval [CI] = 1.65–2.07) times higher on April 1 and 1.92 (95% CI = 1.62–2.28) times higher on May 1; by August 1, the odds of mental distress had returned to levels comparable to March 11 (odds ratio [OR] = 0.80, 95% CI = 0.66–0.96). Females experienced a sharper increase in mental distress between March and May compared to males (females: OR = 2.29, 95% CI = 1.85–2.82; males: OR = 1.53, 95% CI = 1.15–2.02).

Conclusions

These findings highlight the trajectory of mental health symptoms during an unprecedented pandemic, including the identification of populations at risk for sustained mental distress.

Accounting for the Rise of Health Spending and Longevity

We estimate a stochastic life-cycle model of endogenous health spending, asset accumulation and retirement to investigate the causes behind the increase in health spending and longevity in the U.S. over the period 1965-2005. Accounting for changes over time in taxes, transfers, Social Security, income, health insurance, smoking and obesity, and technological progress, we estimate that technological progress is responsible for half of the increase in life expectancy over the period. Substantial growth in health spending over the period is largely the result of growth in economic resources and the generosity of health insurance, with a modest role for medical technological progress. The growth in spending does not come from changes in a single source, but sources jointly interacted to increase spending: complementarity effects explain up to 26.3% of the increase in health spending. Overall, for those born in 1940, the combined changes in resources and health insurance that occurred over the period are valued at 35.7% of lifetime consumption.

Associations Between Media Exposure and Mental Distress Among U.S. Adults at the Beginning of the COVID-19 Pandemic

INTRODUCTION

Exposure to disaster-related media may be a risk factor for mental distress, but this has not been examined in the context of the COVID-19 pandemic. This study assesses whether exposure to social and traditional media during the rise of the COVID-19 pandemic was associated with mental distress among U.S. adults.

METHODS

Data came from the Understanding America Study, conducted with a cross-sectional, nationally representative sample of adults who completed surveys online. Participants included 6,329 adults surveyed between March 10 and March 31, 2020. Regression analyses examined the associations of (1) self-reported average time spent on social media in a day (hours) and (2) number of traditional media sources (radio, TV, and newspaper) consulted to learn about COVID-19 with self-reported mental distress (4-item Patient Health Questionnaire). Data were analyzed in April 2020.

RESULTS

Participants responding at later survey dates reported more time spent on social media (β=0.02, 95% CI=0.01, 0.03), a greater number of traditional media sources consulted to learn about COVID-19 (β=0.01, 95% CI=0.01, 0.02), and greater mental distress (β=0.07, 95% CI=0.04, 0.09). Increased time spent on social media and consulting a greater number of traditional media sources to learn about COVID-19 were independently associated with increased mental distress, even after adjusting for potential confounders (social media: β=0.14, 95% CI=0.05, 0.23; traditional media: β=0.14, 95% CI=0.08, 0.20).

CONCLUSIONS

Exposure to a greater number of traditional media sources and more hours on social media was modestly associated with mental distress during the rise of the COVID-19 pandemic in the U.S.

Mental Distress in the United States at the Beginning of the COVID-19 Pandemic

Objectives. To assess the impact of the COVID-19 pandemic on mental distress in US adults.Methods. Participants were 5065 adults from the Understanding America Study, a probability-based Internet panel representative of the US adult population. The main exposure was survey completion date (March 10-16, 2020). The outcome was mental distress measured via the 4-item version of the Patient Health Questionnaire.Results. Among states with 50 or more COVID-19 cases as of March 10, each additional day was significantly associated with an 11% increase in the odds of moving up a category of distress (odds ratio = 1.11; 95% confidence interval = 1.01, 1.21; P = .02). Perceptions about the likelihood of getting infected, death from the virus, and steps taken to avoid infecting others were associated with increased mental distress in the model that included all states. Individuals with higher consumption of alcohol or cannabis or with history of depressive symptoms were at significantly higher risk for mental distress.Conclusions. These data suggest that as the COVID-19 pandemic continues, mental distress may continue to increase and should be regularly monitored. Specific populations are at high risk for mental distress, particularly those with preexisting depressive symptoms.

Know your epidemic, know your response: Early perceptions of COVID-19 and self-reported social distancing in the United States

As COVID-19 is rapidly unfolding in the United States, it is important to understand how individuals perceive the health and economic risks of the pandemic. In the absence of a readily available medical treatment, any strategy to contain the virus in the US will depend on the behavioral response of US residents. In this paper, we study individual's perceptions on COVID-19 and social distancing during the week of March 10-16, 2020, a week when COVID-19 was officially declared to be a pandemic by WHO and when new infections in the US were more than doubling every three days. Using a nationally representative sample of 5,414 respondents 18+ years of age from the Understanding America Study (UAS), we find that perceptions about COVID-19 health risks and economic consequences in the US population were largely pessimistic and highly variable by age and education. US residents who are young and do not have a college degree perceived a lower risk of getting infected but a higher probability of running out of money than others. Most individuals reported taking some steps to distance themselves from others but important differences emerge by gender and by source of information on COVID-19. Using state and day fixed-effect regressions, we show that perceptions of the health risks closely followed the number of COVID-19 cases in the country, and perceptions of the economic consequences and the prevalence of social distancing were driven upwards by both national and state-level cases. Unless addressed by effective health communication that reaches individuals across all social strata, variations in perceptions about COVID-19 epidemic raise concerns about the ability of the US to implement and sustain the widespread and restrictive policies that are required to curtail the pandemic.

What they say and what they do: comparing physical activity across the USA, England and the Netherlands

Background

Physical activity (PA) is important for maintaining health, but there are fundamental unanswered questions on how best it should be measured.

Methods

We measured PA in the Netherlands (n=748), the USA (n=540) and England (n=254), both by a 7 day wrist-worn accelerometer and by self-reports. The self-reports included a global self-report on PA and a report on the frequency of vigorous, moderate and mild activity.

Results

The self-reported data showed only minor differences across countries and across groups within countries (such as different age groups or working vs non-working respondents). The accelerometer data, however, showed large differences; the Dutch and English appeared to be much more physically active than Americans h (For instance, among respondents aged 50 years or older 38% of Americans are in the lowest activity quintile of the Dutch distribution). In addition, accelerometer data showed a sharp decline of PA with age, while no such pattern was observed in self-reports. The differences between objective measures and self-reports occurred for both types of self-reports.

Conclusion

It is clear that self-reports and objective measures tell vastly different stories, suggesting that across countries people use different response scales when answering questions about how physically active they are.

Designing Cash Transfer Programs for an Older Population: The Mexican Case

Aging populations and the prevalence of poverty in old age have led to the introduction of noncontributory pensions in many countries. We consider a number of alternative targeting approaches and simulate their effects in an empirical application in the State of Yucatan, Mexico. We compare the approaches with respect to leakage, under-coverage, and their effects on government budgets. We are also able to compare the simulated effects of one alternative with the observed effect of a recently introduced demogrant and find that the simulation is a close approximation of the empirical outcomes. We discuss issues of implementation and political feasibility.

Consumption Smoothing and Frequency of Benefit Payments of Cash Transfer Programs

We analyze two noncontributory Mexican pension programs for the elderly. Both paid similar amounts, but one paid monthly while the other paid every two months. The Life Cycle Hypothesis suggests frequency of benefits payments should not affect consumption smoothing, but we find the monthly program was more effective in smoothing food expenditure. It also increased doctor visits and reduced the incidence of hunger spells. Under the bimonthly program, expenditures on food significantly decline between paychecks but ownership of durable goods increased. This suggests the importance of payment frequency in social programs.

Framing and Claiming: How Information-Framing Affects Expected Social Security Claiming Behavior

This paper provides evidence that Social Security benefit claiming decisions are strongly affected by framing and are thus inconsistent with expected utility theory. Using a randomized experiment that controls for both observable and unobservable differences across individuals, we find that the use of a "breakeven analysis" encourages early claiming. Respondents are more likely to delay when later claiming is framed as a gain, and the claiming age is anchored at older ages. Additionally, the financially less literate, individuals with credit card debt, and those with lower earnings are more influenced by framing than others.

Use of Internet panels to conduct surveys

The use of Internet panels to collect survey data is increasing because it is cost-effective, enables access to large and diverse samples quickly, takes less time than traditional methods to obtain data for analysis, and the standardization of the data collection process makes studies easy to replicate. A variety of probability-based panels have been created, including Telepanel/CentERpanel, Knowledge Networks (now GFK KnowledgePanel), the American Life Panel, the Longitudinal Internet Studies for the Social Sciences panel, and the Understanding America Study panel. Despite the advantage of having a known denominator (sampling frame), the probability-based Internet panels often have low recruitment participation rates, and some have argued that there is little practical difference between opting out of a probability sample and opting into a nonprobability (convenience) Internet panel. This article provides an overview of both probability-based and convenience panels, discussing potential benefits and cautions for each method, and summarizing the approaches used to weight panel respondents in order to better represent the underlying population. Challenges of using Internet panel data are discussed, including false answers, careless responses, giving the same answer repeatedly, getting multiple surveys from the same respondent, and panelists being members of multiple panels. More is to be learned about Internet panels generally and about Web-based data collection, as well as how to evaluate data collected using mobile devices and social-media platforms.

Dimensions of Subjective Well-Being

We use two waves of a population based survey (the RAND American Life Panel) to investigate the relations between various evaluative and experienced well-being measures based on the English Longitudinal Study of Aging, the Gallup Wellbeing Index, and a 12-item hedonic well-being module of the Health and Retirement Study. In a randomized set-up we administered several versions of the survey with different response scales. Using factor analysis, we find that all evaluative measures load on the same factor, but the positive and negative experienced affect measures load on different factors. We find evidence of an effect of response scales on both the estimated number of underlying factors and their relations with demographics. We conclude that finer response scales allowing more nuanced answers offer more reliability. The relation of evaluative and experienced measures with demographics are very different; perhaps the most striking aspect is the lack of a consistent relation of experienced well-being measures with income, while evaluative well-being is strongly positively related with income.

A Longitudinal Study of Well-being of Older Europeans: Does Retirement Matter?

We examine determinants of financial and subjective well-being, in particular poverty and depression, among older individuals in Europe. We do so using the 2004, 2006, and 2010 waves of the Survey of Health Ageing and Retirement in Europe and estimating dynamic panel data and binary choice transition models. We find a number of common effects across financial and subjective well-being. Unemployment, disabilities, serious health conditions, lower education, being female, and not being married increase the probability of poverty or depression. Conversely, healthy individuals, those with higher levels of education, males, and married individuals have higher probabilities of exiting poverty or depression. The effect of retirement is of special policy interest. It turns out to be crucial to control for endogeneity (i.e. the possibility of reverse causality) of retirement. If we don't control for endogeneity, retirement appears to increase both the risk of poverty and of depression. Once we control for endogeneity using instrumental variables, these negative effects disappear and point to weak evidence that retirement induced through eligibility for retirement pensions may be protective against poverty and depression.

A health production model with endogenous retirement

We formulate a stylized structural model of health, wealth accumulation and retirement decisions building on the human capital framework of health and derive analytic solutions for the time paths of consumption, health, health investment, savings and retirement. We argue that the literature has been unnecessarily restrictive in assuming that health is always at the 'optimal' health level. Exploring the properties of corner solutions, we find that advances in population health decrease the retirement age, whereas at the same time, individuals retire when their health has deteriorated. This potentially explains why retirees point to deteriorating health as an important reason for early retirement, whereas retirement ages have continued to fall in the developed world, despite continued improvements in population health and mortality. In our model, workers with higher human capital invest more in health and, because they stay healthier, retire later than those with lower human capital whose health deteriorates faster.

Are Americans Really Less Happy With Their Incomes?

Recent economic research on international comparisons of subjective well-being suffers from several important biases due to the potential incomparability of response scales within and across countries. In this paper we concentrate on self-reported satisfaction with income in two countries: The Netherlands and the US. The comparability problem is addressed by using anchoring vignettes. We find that in the raw data, Americans appear decidedly less satisfied with their income than the Dutch. It turns out however that after response scale adjustment based on vignettes, the distribution of satisfaction in the two countries is essentially identical. In addition, we find that the within-country cross-sectional effect of income on satisfaction-a key parameter in the recent debate in the economic literature-is significantly under-estimated especially in the US-when differences in response scales are not taken into account.

Why Do Some Irish Drink So Much? Family, Historical and Regional Effects on Students' Alcohol Consumption and Subjective Normative Thresholds

This paper studies determinants of drinking behavior and formation of subjective thresholds of acceptable drinking behavior using a sample of students in a major Irish University. We find evidence of strong associations between amounts of alcohol students consume and drinking of their fathers and older siblings. In contrast, we find little evidence of impacts of other non-drinking aspects of family background on students' drinking. Parental and older sibling drinking appears to affect subjective attitudes of students towards what constitutes problem drinking behavior. We investigated historical origins of drinking behavior including the role of the Church, English cultural influences, the importance of the brewery and distilling industry, and the influence of weather. We find relatively strong influences of the Catholic Church and English colonial settlement patterns on Irish drinking patterns but little influence of Irish weather. Historical licensing restrictions on the number of pubs and off-license establishments also appear to matter.

Living Longer in Mexico: Income Security and Health

This analysis of aging and income security in Mexico establishes that the older population in Mexico is increasing quickly and that this population is especially vulnerable to poverty. Mexican citizens are living longer and overall have experienced an improvement in the quality of life compared to that of prior generations. However, this study demonstrates that social improvements are not affecting the daily lives of all persons equally. The authors attempt to uncover and highlight those differences. One of the primary challenges facing Mexico is a growing older population. The demographic transition in Mexico combined with the lack of formal sources of income in retirement place many older persons in a state of financial insecurity. The information contained in this study and the proposed policy research areas are intended to enlarge the portfolio of options for older Mexicans. The authors analyze wealth and sources of income during retirement, the relationship between health and wealth, urban and rural disparities, and the impact of migration spells to the United States on wealth accumulation and health insurance in Mexico.

Grossman's missing health threshold

We present a generalized solution to Grossman's model of health capital (1972), relaxing the widely used assumption that individuals can adjust their health stock instantaneously to an "optimal" level without adjustment costs. The Grossman model then predicts the existence of a health threshold above which individuals do not demand medical care. Our generalized solution addresses a significant criticism: the model's prediction that health and medical care are positively related is consistently rejected by the data. We suggest structural- and reduced-form equations to test our generalized solution and contrast the predictions of the model with the empirical literature.

Validating the Use of Anchoring Vignettes for the Correction of Response Scale Differences in Subjctive Questions

Comparing self-assessed indicators of subjective outcomes such as health, work disability, political efficacy, job satisfaction, etc. across countries or socio-economic groups is often hampered by the fact that different groups use different response scales. This paper develops an integrated framework in which objective measurements are used to validate vignette-based corrections. The framework is applied to objective and subjective self-assessments of drinking behavior by students in Ireland. Model comparisons using the Akaike information criterion favor a specification with response consistency and vignette corrected response scales. Put differently, vignette based corrections appear quite effective in bringing objective and subjective measures closer together.

Internationally comparable health indices

One of the most intractable problems in international health research is the lack of comparability of health measures across countries or cultures. We develop a cross-country measurement model for health, in which functional limitations, self-reports of health, and a physical measure are interrelated to construct health indices. To establish comparability across countries, we define the measurement scales by the physical measure while other parameters vary by country to reflect cultural and linguistic differences in response patterns. We find significant cross-country variation in response styles of health reports along with variability in genuine health that is related to differences in national income. Our health indices achieve satisfactory reliability of about 80% and their gradients by age, income, and wealth for the most part show the expected patterns. Moreover, the health indices correlate much more strongly with income and net worth than self-reported health measures.

What can we learn from (and about) global aging?

Although aging is a global phenomenon, there are large differences across countries in both the speed of aging and the current age composition. Furthermore, countries adopt vastly different policies. This creates a natural laboratory that scientists can use to understand how policies affect outcomes. I discuss under what circumstances data from different countries can be used for inference about policy effects. Although comparable health and retirement data are currently being collected in some 25 countries, the use of such data requires careful modeling of differences in institutions and in response styles across countries.

Intertemporal consumption with directly measured welfare functions and subjective expectations

Euler equation estimation of intertemporal consumption models requires many, often unverifiable assumptions. These include assumptions on expectations and preferences. We aim at reducing some of these requirements by using direct subjective information on respondents' preferences and expectations. The results suggest that individually measured welfare functions and expectations have predictive power for the variation in consumption across households. Furthermore, estimates of the intertemporal elasticity of substitution based on the estimated welfare functions are plausible and of a similar order of magnitude as other estimates found in the literature. The model favored by the data only requires cross-section data for estimation.

Dynamics of work disability and pain

This paper investigates the role of pain dynamics in subsequently affecting dynamics in self-reported work disability and the dynamics of employment patterns of older workers in the US. Not only is pain prevalence quite high, there also are many transitions in and out of pain at these ages. We investigate pain and its relationship to health (work disability) and work in a dynamic panel data model, using six biennial waves from the Health and Retirement Study. We find that the dynamics of the presence of pain are central to understanding the dynamics of self-reported work disability and through this pathway, pain dynamics are also a significant factor in the dynamic patterns of employment.

The measurement of household cost functions: revealed preference versus subjective measures

The author examines how household cost functions depend on the composition of a household. "In the paper I formally establish the connection between subjective measures and the cost function underlying the AID [Almost Ideal Demand] system. The subjective measures fully identify cost functions and the expenditure data do this partly. This makes it possible to test the null hypothesis that both types of data are consistent with one another, i.e. that they measure the same thing. I use two separate data sets to set up a test of this equivalence. The outcomes are somewhat mixed and indicate the need for further specification search. Finally, I discuss some implications of the outcomes."