Large-scale Longitudinal Data Research Articles

Exploring the Longitudinal Relationship Between Lockdown Policy Stringency and Public Negative Emotions Among 120 Countries During the COVID-19 Pandemic: Mediating Role of Population Mobility

BackgroundTo limit the spread of COVID-19, governments worldwide have implemented a series of lockdown policies to restrict the social activities of people. Although scholars suggest that such policies may produce negative effects on public emotions, the existing research is limited because it only provides a cross-sectional snapshot of the effect of lockdown policies in small and local samples. Using large-scale longitudinal cross-country data, the current study aims to gain a better understanding of the dynamic effect of lockdown policies on public emotions and their underlying mechanisms.MethodsDrawing on a large-scale longitudinal data from multiple sources, the study employs fixed-effects models to analyze the association between lagged lockdown policy stringency and public negative emotions among 120 countries from February to July 2020 (N = 9,141 country-day observations). The bootstrapping mediation test is used to examine the mediation effects of increased population mobility in residential areas.ResultsThe results show a statistically significant and positive association between lagged lockdown policy stringency and general public negative emotion (standardized coefficient = 0.32, CI = 0.30–0.35, p < 0.001). This pattern remains similar to other specific negative emotions, such as depression, anxiety, hopelessness, and helplessness. Moreover, the negative health effects of lockdown policy stringency are significantly mediated by increased mobility in residential areas (51–74% points, p < 0.001).ConclusionThe findings confirm that stringent lockdown policies have a negative effect on public emotions via confining population mobility residential areas. To tackle the COVID-19, future public health policies should pay more attention to the unintended negative consequences of lockdown measures on public emotions.

Poverty Risks after Relationship Dissolution and the Role of Children: A Contemporary Longitudinal Analysis of Seven OECD Countries

The divorce literature has consistently found that—especially women—are negatively affected by relationship dissolution in terms of material wellbeing. There is, however, considerable debate on whether these effects are persistent or temporary. We use fixed effects models and control for the socioeconomic status of individuals who separated between 2011 and 2018 in seven countries for which large scale longitudinal data has recently been harmonized in the Comparative Panel File. We find that the transitory nature of the effect of relationship dissolution on poverty risks for women is similar across countries, but also for some men. We further focus on the role of children in the immediate changes in poverty risks after separation, and again find significant differences between countries. We discuss these findings in light of social policies adopted by these countries, more specifically child and spousal support schemes. We find no distinguishable differences in these support schemes that adequately explain the observed dissimilarities. The implications of this study for the future study of the association between relationship dissolution and poverty are discussed and future pathways are suggested.

Timing of Adiposity Rebound and Determinants of Early Adiposity Rebound in Korean Infants and Children Based on Data from the National Health Insurance Service.

Adiposity rebound (AR) is defined as the second rise in the body mass index (BMI) usually occurring in early childhood. This study aimed to investigate the timing of AR and the factors determining early AR (EAR) by tracking BMI patterns using large-scale longitudinal nationwide data (n = 142,668; 73,389 boys and 69,279 girls) over seven time periods (4–6, 9–12, 18–24, 30–36, 42–48, 54–60, and 66–71 months). The average BMI rebound indicating AR was found before the age of 5 years (6th time period, 54–60 months). Interestingly, children experiencing BMI rebound during the 4th to 6th time periods showed a small increase in the proportion of underweight in the 2nd time period, but a dramatically higher proportion of underweight during the corresponding time period, similar to M-shaped patterns. In contrast, overweight or obese children in the above group showed opposite W-shaped patterns. The parameters predicting the risk of EAR are diverse for each time period by sex. Adequate breastfeeding before the age of 1 year, adequate diet, and reduced sugar-sweetened beverage consumption after the age of 1 year were important for reducing EAR. This study presents for the first time, the timing of AR and the major determinants of EAR among Korean infants and children based on large-scale nationwide data.

Multimodal single-cell/nucleus RNA-sequencing data analysis uncovers molecular networks between disease-associated microglia and astrocytes with implications for drug repurposing in Alzheimer's disease.

Systematic identification of molecular networks in disease relevant immune cells of the nervous system is critical for elucidating the underlying pathophysiology of Alzheimer's disease (AD). Two key immune cell types, disease-associated microglia (DAM) and disease-associated astrocytes (DAA), are biologically involved in AD pathobiology. Therefore, uncovering molecular determinants of DAM and DAA will enhance our understanding of AD biology, potentially identifying novel therapeutic targets for AD treatment. We systematically investigate molecular networks between DAM and DAA in order to uncover novel therapeutic targets for AD. Specifically, we develop a network-based methodology that leverages single-cell/nucleus RNA-sequencing data from both transgenic mouse models and AD patient brains, as well as drug-target network, metabolite-enzyme associations, the human protein-protein interactome, and large-scale longitudinal patient data. We prioritize repurposed drugs for potential treatment of AD by identifying those that specifically reverse dysregulated gene expression of microglia and astrocytes. Finally, top drug candidates are selected to be validated further using the state-of-the-art pharmacoepidemiologic observations of a longitudinal patient database with 7.2 million subjects. Through this approach, we find both common and unique gene network regulators between DAM (i.e., PAK1, MAPK14, and CSF1R) and DAA (i.e., NFKB1, FOS, and JUN) that are significantly enriched by neuro-inflammatory pathways and well-known genetic variants (i.e., BIN1). We identify shared immune pathways between DAM and DAA, including Th17 cell differentiation and chemokine signaling. Lastly, integrative metabolite-enzyme network analyses suggest that fatty acids and amino acids may trigger molecular alterations in DAM and DAA. Combining network-based prediction and retrospective case-control observations with 7.2 million subjects, we identify that usage of fluticasone (an approved glucocorticoid receptor agonist) is significantly associated with a reduced incidence of AD (hazard ratio (HR) = 0.86, 95% confidence interval (CI) 0.83-0.89, p<1.0x10-8 ). Propensity score-matching cohort studies reveal that usage of mometasone (a stronger glucocorticoid receptor agonist) is significantly associated with a decreased risk of AD (HR=0.74, 95% CI 0.68-0.81, p<1.0x10-8 ) compared to fluticasone after adjusting age, gender, and disease comorbidities. In summary, we present a network-based, multimodal methodology for single-cell/nucleus genomics-informed drug discovery in AD that has identified fluticasone and mometasone as potential treatments.

Promoting international learning outcomes during a study abroad: the moderating role of internationalisation at home

PurposeThe authors examine the role of internationalisation at-home activities and an international classroom at a home institution to promote intercultural competence development during a study abroad.Design/methodology/approachThe authors use large scale longitudinal data from the global mind monitor (GMM) (2018–2020) to examine change over time in both multicultural personality (MPQ) and cultural knowledge (CQ) among students in Dutch higher education institutions. The authors analyse the moderating effect of the preparation in the home institution by looking at the added value of both intercultural communication courses and international classroom setting for intercultural competence development during a study abroad.FindingsThe results show that particularly courses on intercultural communication significantly promote intercultural competence development during a stay abroad. Frequent interactions with international staff also seem to be beneficial for this development.Research limitations/implicationsThis study was conducted in the Netherlands, in one of the most internationalised educational systems in the world. Therefore, it is difficult to generalise these findings to other contexts before any further empirical research is conducted.Practical implicationsBased on the findings, the authors formulate practical advice for higher education institutions that aim to get the most out of the international learning outcomes of a study abroad.Originality/valueThis paper is the first to assess the moderating effect of preparatory internationalisation at home initiatives on the intercultural learning effects of international experiences later on in a study program. Other studies have proposed that these effects will exist but have not tested them empirically with longitudinal data.

How does exposure to a different school track influence learning progress? Explaining scissor effects by track in Germany

German secondary education is known for its early, strict selection of students into different schooling tracks based on prior academic performance, based on the assumption that students learn more efficiently when the learning environment is tailored to their individual abilities and needs. While much previous research has shown that entry into tracks is socially selective, less is known whether there are effects of being exposed to a particular school track on educational success and which mechanisms are contributing to these effects. We investigate this question by comparing the learning progress in reading and mathematics of students in the upper and intermediate schooling track over five years of secondary schooling, based on large-scale German-wide longitudinal data (NEPS-SC3). Even when restricting our sample to a group of students with similar preconditions and controlling for skills at the beginning of secondary schooling, we find that the learning progress in the upper track is higher for both domains, suggesting scissor effects of track exposure. It is mainly the average performance level of the class, and to a lesser degree its social background composition, which mediates these effects. In contrast, migration background composition of the class and instructional quality perceived by students hardly contribute to explaining increasing learning gains in the upper track.

Religious friendship preferences of Muslim and non-Muslim students in German schools: Bright boundaries everywhere or contingent on the proportion of Muslim classmates?

While network studies have shown that preferences of both Muslim and non-Muslim adolescents contribute to religious friendship segregation, it is unclear whether these preferences are ubiquitous or dependent on local context. Examining large-scale longitudinal friendship network data of adolescents in Germany, we investigate how the proportion of Muslim classmates affects friendship preferences of Muslims and non-Muslims. We find that Muslim youth favor Muslims over non-Muslims to a similar degree at all proportions of Muslim classmates. Non-Muslims’ reluctance to be friends with Muslims peaks in classrooms in which about half of the students are Muslims but is otherwise lower or absent.

Patterns of participation and non-participation in learning in mid-life and their determinants

ABSTRACT The literature on educational choices and participation has tended to focus on youth and to some extent on older adults, with little attention to the group in between. This paper therefore analyses participation in various types of learning by people in their 30s and 40s. This group are often juggling career and family life commitments meaning that there are substantial barriers and time constraints on learning participation. We draw on large-scale quantitative longitudinal data for Britain to examine the trajectory of engagement with learning using latent class analysis to identify patterns in the data and regression modelling to investigate explanatory factors. We show that both highest qualification reached by their early 30s and participation in learning activities of some kind in young adulthood are key antecedent factors predicting higher chances of participating in learning in mid-life. The research confirms the importance of cumulative processes in learning as in other aspects of the lifecourse.

People and the Place: Social Dominance Orientation Is Reciprocally Associated With Hierarchy-Enhancing Occupations Over Time

Social dominance orientation (SDO) is a widely researched construct that indexes a preference for hierarchical intergroup relations. However, it remains unclear whether this preference (a) motivates people to seek out occupations that enhance hierarchical relations between groups (i.e., occupational assortment), (b) develops as a result of working within hierarchy-enhancing occupations (i.e., occupational socialization), or (c) both. One reason for this gap is that the large-scale longitudinal data required to simultaneously model assortment and socialization processes are scarce. In this study, we analyzed data from two waves of longitudinal data (spaced either 1, 3, or 5 years apart) from a nationwide sample of adults ( N = 3,452–4,412) who were already working in either hierarchy-enhancing occupations (e.g., law enforcement) or hierarchy-attenuating occupations (e.g., social work). Results showed that SDO predicted an increased probability of working in a hierarchy-enhancing occupation 3 and 5 years later. Working in a hierarchy-enhancing occupation was also positively associated with SDO after 1 and 5 years. These patterns generally suggest that occupations both shape, and are shaped by, intergroup beliefs.

In-Group Bias or Out-Group Reluctance? The Interplay of Gender and Religion in Creating Religious Friendship Segregation among Muslim Youth

Abstract Even in diverse schools that provide opportunities for interreligious friendships, Muslim youth disproportionally tend to be friends with Muslims rather than non-Muslims. Echoing broader debates about minorities’ self-segregation versus exclusion by majority group members, a key question is whether religious friendship segregation arises because of Muslims’ in-group bias or because of non-Muslims’ reluctance to befriend them. We suggest that the answer differs for Muslim boys and girls. Building on research on interreligious romantic relations and accounts of the lives of young Muslims and other ethno-religious minorities in Western societies, we propose that religious in-group bias is stronger for Muslim girls than for Muslim boys. Conversely, we expect non-Muslim youth to be more open to befriend Muslim girls than Muslim boys. Applying stochastic actor-oriented models of network dynamics to large-scale longitudinal data of friendship networks in German schools, we find that Muslim girls indeed have a strong in-group bias, whereas non-Muslim youth are not reluctant to be friends with them. Muslim boys, by contrast, have a much weaker in-group bias, but non-Muslim youth are less willing to be friends with them rather than with non-Muslims. A simulation analysis demonstrates that these gendered individual-level processes result in comparable aggregate patterns of friendship segregation among Muslim boys and girls. Religious friendship segregation thus arises because Muslim girls tend to self-segregate and non-Muslim youth are less willing to befriend Muslim boys although the latter are open to interreligious friendships. This gendered friendship-making behavior has implications for the larger question of minority social integration.

Multimodal single-cell/nucleus RNA sequencing data analysis uncovers molecular networks between disease-associated microglia and astrocytes with implications for drug repurposing in Alzheimer's disease.

Because disease-associated microglia (DAM) and disease-associated astrocytes (DAA) are involved in the pathophysiology of Alzheimer's disease (AD), we systematically identified molecular networks between DAM and DAA to uncover novel therapeutic targets for AD. Specifically, we develop a network-based methodology that leverages single-cell/nucleus RNA sequencing data from both transgenic mouse models and AD patient brains, as well as drug-target network, metabolite-enzyme associations, the human protein–protein interactome, and large-scale longitudinal patient data. Through this approach, we find both common and unique gene network regulators between DAM (i.e., PAK1, MAPK14, and CSF1R) and DAA (i.e., NFKB1, FOS, and JUN) that are significantly enriched by neuro-inflammatory pathways and well-known genetic variants (i.e., BIN1). We identify shared immune pathways between DAM and DAA, including Th17 cell differentiation and chemokine signaling. Last, integrative metabolite-enzyme network analyses suggest that fatty acids and amino acids may trigger molecular alterations in DAM and DAA. Combining network-based prediction and retrospective case-control observations with 7.2 million individuals, we identify that usage of fluticasone (an approved glucocorticoid receptor agonist) is significantly associated with a reduced incidence of AD (hazard ratio [HR] = 0.86, 95% confidence interval [CI] 0.83–0.89, P < 1.0 × 10−8). Propensity score–stratified cohort studies reveal that usage of mometasone (a stronger glucocorticoid receptor agonist) is significantly associated with a decreased risk of AD (HR = 0.74, 95% CI 0.68–0.81, P < 1.0 × 10−8) compared to fluticasone after adjusting age, gender, and disease comorbidities. In summary, we present a network-based, multimodal methodology for single-cell/nucleus genomics-informed drug discovery and have identified fluticasone and mometasone as potential treatments in AD.

Subject-Specific Self-Concept and Global Self-Esteem Mediate Risk Factors for Lower Competency in Mathematics and Reading

Self-concept and self-esteem are strongly tied to both academic achievement and risk factors for lower academic achievement. The German National Educational Panel Study (NEPS) provides large-scale representative longitudinal data for mathematics, reasoning as well as risk factors, self-concept and self-esteem. Based on measurements in grades five to nine, this paper produces theory-based partially mediated latent growth models with multiple indicators and mediators. This includes the predictors of special education needs (SEN) status, socioeconomic status (SES), reasoning ability, gender, and school track, with both global self-esteem and subject-specific self-concept as mediators. Significant mediatory relationships are found for SEN, gender, reasoning ability, and school track on grade 5 math and reading competence, but neither direct nor mediated effects on rate of change were found. Implications for researchers and educators are discussed.

Inspections and Compliance: Enforcement of the Minimum-Wage Law

This paper is the first to empirically study the relationship between spatial distributions of labor market inspections and noncompliance with Germany's minimum-wage law. Combining novel administrative data with large-scale longitudinal survey data, we document that the inspection probability is higher in regions with higher noncompliance. This implies risk-based allocation of the inspection efforts and, hence, its endogeneity. Using fixed effects and an instrumental-variable approach, we show that higher inspection efforts have a limited effect on compliance. Based on a theoretical framework and international evidence, we discuss challenges for law enforcement, the political importance of compliance, and possible improvement measures.

OncoThreads: visualization of large-scale longitudinal cancer molecular data.

MotivationMolecular profiling of patient tumors and liquid biopsies over time with next-generation sequencing technologies and new immuno-profile assays are becoming part of standard research and clinical practice. With the wealth of new longitudinal data, there is a critical need for visualizations for cancer researchers to explore and interpret temporal patterns not just in a single patient but across cohorts.ResultsTo address this need we developed OncoThreads, a tool for the visualization of longitudinal clinical and cancer genomics and other molecular data in patient cohorts. The tool visualizes patient cohorts as temporal heatmaps and Sankey diagrams that support the interactive exploration and ranking of a wide range of clinical and molecular features. This allows analysts to discover temporal patterns in longitudinal data, such as the impact of mutations on response to a treatment, for example, emergence of resistant clones. We demonstrate the functionality of OncoThreads using a cohort of 23 glioma patients sampled at 2–4 timepoints.Availability and implementationFreely available at http://oncothreads.gehlenborglab.org. Implemented in Java Script using the cBioPortal web API as a backend.Supplementary information Supplementary data are available at Bioinformatics online.

Opportunistic evaluation of modelled sea ice drift using passively drifting telemetry collars in Hudson Bay, Canada

Abstract. Sea ice drift plays a central role in the Arctic climate and ecology through its effects on the ice cover, thermodynamics, and energetics of northern marine ecosystems. Due to the challenges of accessing the Arctic, remote sensing has been used to obtain large-scale longitudinal data. These data are often associated with errors and biases that must be considered when incorporated into research. However, obtaining reference data for validation is often prohibitively expensive or practically unfeasible. We used the motion of 20 passively drifting high-accuracy GPS telemetry collars originally deployed on polar bears, Ursus maritimus, in western Hudson Bay, Canada, to validate a widely used sea ice drift dataset produced by the National Snow and Ice Data Center (NSIDC). Our results showed that the NSIDC model tended to underestimate the horizontal and vertical (i.e., u and v) components of drift. Consequently, the NSIDC model underestimated magnitude of drift, particularly at high ice speeds. Modelled drift direction was unbiased; however, it was less precise at lower drift speeds. Research using these drift data should consider integrating these biases into their analyses, particularly where absolute ground speed or direction is necessary. Further investigation is required into the sources of error, particularly in under-examined areas without in situ data.

College Students with Disabilities: Factors Influencing Growth in Academic Ability and Confidence

Using large-scale longitudinal data, this study sought to examine factors influencing two important student development outcomes in students with disabilities attending 4-year colleges and universities. Informed by Astin’s Input-Environment-Outcome model and the interactional model of disability, this study investigated the effect of student characteristics (i.e., disability type, gender, mother’s education level) and environmental factors (i.e., faculty encouragement and engagement in political discussion) on the development of academic ability and intellectual confidence in students’ senior year of college. The comparison between two outcome models for students with learning disabilities and those with physical or sensory disabilities provided important educational implications. Results from the multiple regression analyses revealed that both student characteristics and environmental factors significantly affect student development, accounting for students’ academic ability and intellectual confidence upon entering college. Institutional policy implications and educational interventions for college students with disabilities were also discussed.

Understanding latent demand for hybrid and plug-in electric vehicles using large-scale longitudinal survey data of US new vehicle buyers

Consumer adoption of fuel-efficient vehicles is a crucial step in improving energy efficiency of the light-duty vehicle sector. To promote adoption, policymakers have employed various demand- and supply-side policies including incentives, fuel economy standards, zero emission vehicle mandate, among others. This paper measures the changes in consumers’ purchase motivations and latent demand for hybrid and plug-in electric vehicles in the wake of such programs by analyzing the past 11 years of new vehicle buyer survey data in the USA with more than 1 million respondents. The analysis reveals that electric vehicles—including hybrids, plug-in hybrids, and pure battery electric, collectively termed xEVs—had the potential to secure as much as ~ 11% of the US market in 2015, but the actual market share was only one-third of this. A narrowing of the consumer’s valuation gap between buyers of non-xEVs and xEVs for purchase motivations—including fuel economy, environmental friendliness, technical innovation, and price—is responsible for the increase in the latent demand for xEVs. The term valuation gap refers to the difference between the average rating given by non-xEV and xEV buyers for a particular purchase motivation question in the survey. The closer the ratings, the smaller will be the valuation gap. Policy instruments such as sales-weighted fuel economy target show strong correlation with the consumer valuation gap. In combination with demand-side policies that make xEVs more accessible to mainstream consumers, they could be considered as viable tools if policymakers are seeking to nudge consumers toward xEVs.

Development of a health data-driven model for a thermal comfort study

The objective of this study is to develop a thermal comfort model by incorporating public health datasets and influencing parameters associated with both health and thermal comfort. There are three systematic influencing parameters identified in this study: socioeconomic development, population density, and annual mean temperature. The thermal comfort neutral temperatures predicted with the new model are in good agreement with the measured field data, and the correlation coefficient is 0.91.The current study introduces large-scale spatial data and longitudinal health-temperature data from the public health field for contributing to thermal comfort research. For instance, the required numbers of intensive field experiments and modeling works regarding thermal comfort can be reduced. Moreover, studies on the impacts of certain factors (such as variations in time, gender, and age) on thermal comfort have not reached any conclusive results, mainly owing to a lack of large demographic datasets. Recent findings from the public health field indicate that there are observable variations in health-temperature data in response to climate changes. There are no significant health-temperature differences between genders, although females are more inclined to use resources for better environmental management. Other factors are also discussed in this study, such as age and the prevalence of air conditioners.

Disempowering parenting and mental health among Asian American youth: Immigration and ethnicity

Guided by the concept of ABCDG (Abusive, Burdening, Culturally Disjointed, Disengaged, and Gender Prescriptive) parenting, this study investigated how subdomains of disempowering parenting adversely influence young people's mental health, independently and collectively, using a large-scale longitudinal survey data of community samples among Filipino American (FA) and Korean American (KA) youth (MAGE = 15.01, N = 1580; 391 FA and 417 KA families). Regression results showed that the subdomains of disempowering parenting, while individually harmful, were differentially associated with mental health. For example, abusive and disengaged parenting and culturally disjointed parenting (a.k.a. intergenerational cultural conflict) were the most notably adverse subdomains and remained significant when all subdomains were accounted together. This study pinpoints specific aspects of disempowering parenting that may lead to mental distress among FA and KA youth and underscores a need for culturally tailored intervention programs that address the harms of disempowering parenting approaches.

Socioeconomic status and long-term exposure to disadvantaged neighbourhoods in France:

This paper uses a large-scale longitudinal data set from France over a 23-year period (1990–2013) to investigate the links between socioeconomic status and long-term exposure to disadvantaged neigh...