Search

Distress related to systemic racism in the public service and healthcare systems is linked to adverse mental health sequelae in racial and ethnic minority populations. Emerging research has found that distress related to racism may impact military veterans, an increasingly racially and ethnically diverse segment of the US population who are at increased risk of mental health problems relative to non-veterans. To date, however, no known study has examined longitudinal trends in distress related to systemic racism in this population. A nationally representative sample of 2361 US military veterans completed a baseline assessment in 2020 and a 2-year follow-up in 2022. A multinomial logistic regression analysis was conducted to examine longitudinal courses and baseline predictors of systemic racism-related distress. Relative to the veterans with no racism-related distress, those who reported racism-related distress across the 2-year study period were older, more likely to be female, Black, or Hispanic, and to have completed college or higher education, and reported more lifetime traumas and stressors. Nearly 4-of-5 of Black veterans endorsed distress related to systemic racism over the 2-year study period. Use of self-report and abbreviated measures of distress related to systemic racism. Results suggest that distress related to systemic racism may pose a significant emotional burden on subgroups of US veterans. They further underscore the importance of training clinicians to provide culturally-informed assessments and treatments for Black and other racial and ethnic minority veterans who bear the weight of racial discrimination. • Systemic racism is linked to negative mental health outcomes for Black Americans. • We evaluated longitudinal changes in racism-related distress in 2361 US military veterans. • Nearly 4 of 5 Black veterans endorsed systemic racism-related emotional distress. • Black veterans were more likely than others to have consistent or worsening distress. • Culturally-competent clinicians are needed to support the mental health needs of Black veterans. [ABSTRACT FROM AUTHOR]

Environmental influencers have gained immense popularity on social media, promoting a sustainable lifestyle by interweaving environmental topics with their everyday content. Drawing from the theoretical approach of parasocial opinion leaders, we investigate, for the first time, the implications of environmental influencers for different dimensions of youth's participation behavior, and whether parasocial relationships (PSRs) with influencers moderate these associations. We used data from a cross-sectional (N = 576) and a two-wave panel survey (N T2 = 496) among German 16- to 25-year-olds. Findings across both studies showed that following influencers who address green topics was related to higher engagement in political sphere-oriented participation (e.g. signing a petition) as well as cause-oriented participation (e.g. politically motivated consumerism). In the long term, low to moderate PSR increased the impact of environmental content on cause-oriented participation, while high PSRs seem to overshadow the environmental content directing more attention to relational rather than informational content aspects. [ABSTRACT FROM AUTHOR]

In theory, misalignment of education and career aspirations in high school is a crucial determinant of post-school education and career mismatch. However, existing scholarship investigates the social influence and rational choice determinants of misalignment and mismatch separately. This study examines how misalignment at 15 years of age correlates with career mismatch in young adulthood (25 years). Using data from Y09 cohort in the Longitudinal Surveys of Australian Youth (LSAY), it analyses the education and career aspirations of 7,871 15-year-olds and the education and career outcomes of 2,697 of the same cohort after ten years. Consistent with both social class influences and rational choice factors, the results show that young people who were female, misaligned at school, in vocational pathways, were in relatively poor health and wealth when growing up and had a father with lower levels of education were more likely to be mismatched. Notably, misalignment of career and educational aspirations at age 15 was the strongest indicator of employment outcomes in early adulthood at age 25. The findings urge a rethinking of national and state investment in careers education, especially in addressing disadvantages faced by equity groups and within occupations served by vocational education. [ABSTRACT FROM AUTHOR]

At the onset of the COVID-19 pandemic, the Survey of Health, Ageing, and Retirement in Europe (SHARE) was in a unique position to respond to the need for high quality survey data on people's changing living situations. Implemented as two telephone interviews in the summer of 2020 and 2021 in 27 European countries and Israel, the SHARE Corona Surveys present a great advantage by their integration into the longitudinal, multidisciplinary and ex-ante harmonised design of the SHARE study. This allows researchers to trace changes from the pre-pandemic period, through the different stages of the pandemic, and the postpandemic situation. This article lays out the research aims and how the two Corona Surveys fit in the general design of SHARE. It presents the main design features of the SHARE Corona Surveys following the survey life cycle. It starts with information on procurement, contracting, funding, ethics, and data protection and sampling, followed by information on instrument design, translations, questionnaire content and interviewer training. Last, fieldwork, panel care and data processing are described. Focused on topics of health behaviour, health care, economics and social relationships, the balanced panel sample of the two SHARE Corona Surveys comprises more than 48,000 interviews and provides valuable information on how the 50+ population coped with the COVID-19 pandemic. The experience of implementing the SHARE Corona Surveys also offers insights into use of agile project management methods for large survey infrastructures and moving towards a multi-mode design in an ongoing panel data collection project. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic created global disruption in health professions education and healthcare practice, necessitating an abrupt move to digital delivery. A longitudinal survey was conducted to track the evolution of global responses to the pandemic. During the initial stages, educational and health institutions were forced to adapt quickly without careful consideration of optimal pedagogy, practices, and effectiveness of implemented approaches. In this paper, we report the results of Phase 3 of the global survey that was distributed between November 2021 and February 2022 through InterprofessionalResearch.Global (IPR.Global). The Phase 3 qualitative survey received 27 responses, representing 25 institutions from 13 countries in 6 regions. Using inductive thematic analysis, the data analysis resulted in three emerging themes: Impact of the pandemic on the delivery of interprofessional education and collaborative practice (IPECP); Impact of the pandemic on the healthcare system (team, population/client health, clients); and Sustainability and innovation. This study highlights the evolving nature of health education and collaborative practices in response to the COVID-19 pandemic. IPECP educators need to be resilient and deal with the complexities of face-to-face and digital learning delivery. Preparing for emerging forms of teamwork is essential for new work contexts and optimal health services. [ABSTRACT FROM AUTHOR]

Aim Design Methods Results Conclusion Implications for the profession and/or patient care Patient or public contribution To determine the longitudinal trajectories of anxiety and depression among pregnant women who have experienced pregnancy loss, and to explore the association between post‐traumatic stress symptoms (PTSS) related to pregnancy loss and these trajectories.A prospective longitudinal study.Between October 2022 and August 2023, pregnant women with a history of pregnancy loss were recruited from four hospitals in Guangdong Province, China. Eligible participants were screened for PTSS related to pregnancy loss upon enrolment. Anxiety and depression symptoms were assessed in early, mid and late pregnancy using the Pregnancy‐related Anxiety Questionnaire‐Revised 2 and the Patient Health Questionnaire‐9, respectively. Latent class growth analysis was employed to categorize anxiety and depression trajectories, and multinomial logistic regression analysis was conducted to examine the association between PTSS and these trajectories.Of the 388 participants included in the analysis, 158 individuals (40.7%) reported high PTSS scores. The best‐fitting models identified three trajectories for both anxiety and depression: low (anxiety: 35.6%, depression: 48.7%), moderate (anxiety: 44.8%, depression: 40.5%) and high (anxiety: 19.6%, depression: 10.8%). Pregnant women with high PTSS levels were significantly more likely to experience moderate‐to‐high trajectories of anxiety and depression compared to those with low PTSS levels.Pregnant women who have experienced pregnancy loss exhibit higher incidences of elevated anxiety and depression trajectories. Screening for PTSS and targeted supportive care are recommended to alleviate anxiety and depressive symptoms in this population.This study underscores the importance of early psychological screening and tailored interventions for pregnant women with a history of pregnancy loss. Trauma‐informed care should be prioritized to mitigate anxiety and depression trajectories in this vulnerable population.There was no patient or public involvement. [ABSTRACT FROM AUTHOR]

Aim: We aimed to investigate changes in pre-diagnostic concentrations of classic and 11-oxygenated androgens in type 2 diabetes (T2DM) cases and healthy controls, associations between androgen concentrations and T2DM, and the potential for androgens to improve the prediction of T2DM when considered in combination with established risk factors. Methods: Androgen concentrations were analysed in serum samples from 116 T2DM cases and 138 controls at 3, pre-diagnostic time-points: 1986/87 (T1), 1994/95 (T2), and 2001 (T3). Generalised estimating equations were used to longitudinally examine androgen concentrations, and logistic regression models were used to estimate the odds ratios (OR) of T2DM at each time-point. Logistic regression models were also used to calculate area under the receiver operating characteristics curve (AROC) from models including established risk factors alone (ERF model) and established risk factors plus each androgen, respectively, which were compared to identify improvements in predictive ability. Results: For women, no significant associations were observed between any of the investigated androgens and T2DM after adjusting for confounders. For men, after adjusting for confounders, concentrations of all investigated 11-oxygenated androgens were higher in cases than controls at one or several time-points. We observed associations between T2DM and concentrations of 11-ketoandrostenedione (OR: 1.59) and 11-ketotestosterone (OR: 1.62) at T1; and 11-hydroxyandrostenedione (OR: 2.00), 11-hydroxytestosterone (OR: 1.76), 11-ketoandrostenedione (OR: 1.84), 11-ketotestosterone (OR: 1.78) and testosterone (OR: 0.45) at T3 in men. The addition of these androgens (including 11-hydroxytestosterone at T2) to the ERF model resulted in an improved ability to predict T2DM in men (AROC: 0.79–0.82). We did not observe significant differences in changes in androgen concentrations over time between cases and controls in either sex. Conclusion: Our results demonstrate that testosterone and 11-oxygenated androgens are associated with T2DM in men before diagnosis and may be potential biomarkers in T2DM risk assessment. [ABSTRACT FROM AUTHOR]

This article reports research exploring the benefits of adding text messages to the contact strategy in the context of a sequential mixed-mode design where telephone interviewer administration follows a web phase. In a web-first mixed-mode survey, supplementing the contact strategy with text messages can help increase the response rate at the web phase and, consequently, reduce fieldwork efforts at the interviewer-administered phase. We present results from a survey experiment embedded in wave 11 of Understanding Society in which the usual contact strategy of emails and letters was supplemented with text messages. Effects of the text messages on survey response and fieldwork efforts were assessed. In addition, we also investigated the impact of SMS on the device selected to complete the survey, time to response, and sample balance. The results show a weak effect of the SMS reminders on response during the web fieldwork. However, this positive effect did not significantly reduce fieldwork effort. [ABSTRACT FROM AUTHOR]

Consumer reactions to COVID-19 pandemic disruptions have been varied, including modifications in spending frequency, amount, product categories and delivery channels. This study analyzes spending data from a sample of 720 U.S. households during the start of deconfinement and early vaccine rollout to understand changes in spending and behavior one year into the pandemic. This paper finds that overall spending is similar to pre-pandemic levels, except for a 28% decline in prepared food spending. More educated and higher income households with children have shifted away from in-person spending, whereas politically conservative respondents are more likely to shop in-person and via pickup.

Abstract Background The COVID-19 outbreak might have had several effects on older adults; however, much of the previous research only included self-report, cross-sectional, and online-survey data in the early stage of the pandemic. We conducted a face-to-face survey before and after the COVID-19 pandemic and investigated the influence of the pandemic on several functions to distinguish between changes due to aging and changes due to the pandemic using a linear mixed model. Methods A total of 8 longitudinal surveys were conducted from 2016 to 2022. Physical function was assessed by weight, body mass index, body fat percentage, skeletal muscle mass index, calf circumference, grip strength, knee extension strength, the 5-times chair stand test, the timed up & go test and 5-m walking test. Functional capacity was measured using the Tokyo Metropolitan Institute of Gerontology index of competence, cognitive function was measured using the Trail Making Test - A, and mental health was measured using the Geriatric Depression Scale. Results Of a total of 73 participants, 51 (69.9%) were female. The mean age at first participation was 71.82 years (SD = 4.64). The results of the linear mixed model showed that lower-limb muscle strength and body fat percentage and cognitive function changed significantly before and after the pandemic, while grip strength, functional capacity, and mental health did not. Conclusions The changes in these functions between before and after the pandemic might be attributed to the diminished opportunities for the independent older individuals to go out and engage in activities. Although functional capacity did not change, lower-limb muscle strength is important for functional independence. This decline might influence the functional capacity of these individuals in the future.

Background: The COVID-19 outbreak might have had several effects on older adults; however, much of the previous research only included self-report, cross-sectional, and online-survey data in the early stage of the pandemic. We conducted a face-to-face survey before and after the COVID-19 pandemic and investigated the influence of the pandemic on several functions to distinguish between changes due to aging and changes due to the pandemic using a linear mixed model. Methods: A total of 8 longitudinal surveys were conducted from 2016 to 2022. Physical function was assessed by weight, body mass index, body fat percentage, skeletal muscle mass index, calf circumference, grip strength, knee extension strength, the 5-times chair stand test, the timed up & go test and 5-m walking test. Functional capacity was measured using the Tokyo Metropolitan Institute of Gerontology index of competence, cognitive function was measured using the Trail Making Test - A, and mental health was measured using the Geriatric Depression Scale. Results: Of a total of 73 participants, 51 (69.9%) were female. The mean age at first participation was 71.82 years (SD = 4.64). The results of the linear mixed model showed that lower-limb muscle strength and body fat percentage and cognitive function changed significantly before and after the pandemic, while grip strength, functional capacity, and mental health did not. Conclusions: The changes in these functions between before and after the pandemic might be attributed to the diminished opportunities for the independent older individuals to go out and engage in activities. Although functional capacity did not change, lower-limb muscle strength is important for functional independence. This decline might influence the functional capacity of these individuals in the future. [ABSTRACT FROM AUTHOR]

Introduction: The COVID-19 pandemic has exacerbated mental health challenges, particularly depression among college students. Detecting at-risk students early is crucial but remains challenging, particularly in developing countries. Utilizing data-driven predictive models presents a viable solution to address this pressing need. Aims: 1) To develop and compare machine learning (ML) models for predicting depression in Argentinean students during the pandemic. 2) To assess the performance of classification and regression models using appropriate metrics. 3) To identify key features driving depression prediction. Methods: A longitudinal dataset (N = 1492 college students) captured T1 and T2 measurements during the Argentinean COVID-19 quarantine. ML models, including linear logistic regression classifiers/ridge regression (LogReg/RR), random forest classifiers/regressors, and support vector machines/regressors (SVM/SVR), are employed. Assessed features encompass depression and anxiety scores (at T1), mental disorder/suicidal behavior history, quarantine sub-period information, sex, and age. For classification, models' performance on test data is evaluated using Area Under the Precision-Recall Curve (AUPRC), Area Under the Receiver Operating Characteristic curve, Balanced Accuracy, F1 score, and Brier loss. For regression, R-squared (R2), Mean Absolute Error, and Mean Squared Error are assessed. Univariate analyses are conducted to assess the predictive strength of each individual feature with respect to the target variable. The performance of multi- vs univariate models is compared using the mean AUPRC score for classifiers and the R2 score for regressors. Results: The highest performance is achieved by SVM and LogReg (e.g., AUPRC: 0.76, 95% CI: 0.69, 0.81) and SVR and RR models (e.g., R2 for SVR and RR: 0.56, 95% CI: 0.45, 0.64 and 0.45, 0.63, respectively). Univariate models, particularly LogReg and SVM using depression (AUPRC: 0.72, 95% CI: 0.64, 0.79) or anxiety scores (AUPRC: 0.71, 95% CI: 0.64, 0.78) and RR using depression scores (R2: 0.48, 95% CI: 0.39, 0.57) exhibit performance levels close to those of the multivariate models, which include all features. Discussion: These findings highlight the relevance of pre-existing depression and anxiety conditions in predicting depression during quarantine, underscoring their comorbidity. ML models, particularly SVM/SVR and LogReg/RR, demonstrate potential in the timely detection of at-risk students. However, further studies are needed before clinical implementation. [ABSTRACT FROM AUTHOR]

Background: The advancement of communication technology and the impact of the COVID-19 pandemic have led to an increased reliance on online education. However, the effects of the long-term use of smart devices for online learning on students' social anxiety and problematic smartphone use (PSU) and the role of fear of missing out (FoMO) in this process have yet to be fully explored. Methods: This study analysed longitudinal data from 2,356 high school students (female 5 1,137 (48.26%), mean age 5 13.84, SD age 5 1.37) in China, divided into high- and low-FoMO groups based on their scores on the FoMO scale, to examine the impact of four months of online learning on social anxiety and PSU. The Social Anxiety Scale (SAS) and Mobile Phone Addiction Index (MPAI) were used to assess social anxiety and PSU symptoms. Results: The undirected symptom networks revealed more bridge symptoms among the students in the high-FoMO group, although their overall symptom scores decreased. The results of the directed cross-lagged panel networks showed that "productivity loss" predicted other symptoms in the low-FoMO group but that "afraid of negative evaluation" was the predictor in the high-FoMO group. Meanwhile, "withdrawal/escape" and "productivity loss" were the symptoms that were most affected by other symptoms in the high-FoMO and low-FoMO groups, respectively. Conclusions: The current study therefore sheds light on the changes in social anxiety and PSU symptoms among secondary school students during long-term online learning, as well as the moderating role of FoMO. [ABSTRACT FROM AUTHOR]

BackgroundHousehold food insecurity (HFI) increased in Latin America by 9% between 2019 and 2020. Scant evidence shows who was unable to recover from the COVID-19 pandemic. Our aim was to use a Machine Learning (ML) approach to identify consistent and influential predictors of persistent moderate or severe HFI over 2 years.MethodsWe use a three-wave longitudinal telephone survey with a probabilistic sample representative of the Mexican population. With a response rate of 51.3 and 60.8% for the second and third waves, the final sample size consisted of 1,074 individuals. The primary outcome was persistent HFI, i.e., respondents who reported moderate or severe HFI in 2021 and 2022. Twelve income-related predictors were measured in 2020, including baseline HFI. We employed 6 supervised ML algorithms to cross-validate findings in models, examined its precision with 4 standard performance indicators to assess precision, and used SHAP values (Shapley Additive exPlanations) to identify influential predictors in each model.ResultsPrevalence of persistent moderate/severe HFI in 2021 and 2022 was 8.8%. Models with only a HFI 2020 baseline measure were used as a reference for comparisons; they had an accuracy of 0.79, a Cohen’s Kappa of 0.57, a sensitivity of 0.68, and a specificity of 0.88. When HFI was substituted by the suite of socioeconomic indicators, accuracy ranged from 0.70 to 0.84, Cohen’s Kappa from 0.40 to 0.67, sensitivity from 0.86 to 0.90, and specificity from 0.75 to 0.82. The best performing models included baseline HFI and socioeconomic indicators; they had an accuracy between 0.81 and 0.92, a Cohen’s Kappa between 0.61 and 0.85, a sensitivity from 0.74 to 0.95, and a specificity from 0.85 to 0.92. Influential and consistent predictors across the algorithms were baseline HFI, socioeconomic status (SES), adoption of financial coping strategies, and receiving government support.DiscussionPersistent HFI can be a relevant indicator to identify households that are less responsive to food security policies. These households should be prioritized for innovative government support and monitored to assess changes. Forecasting systems of HFI can be improved with longitudinal designs including baseline measures of HFI and socioeconomic predictors.

Background Despite recognition in the West that military veterans experience more mental health issues than the general population, little research has focused on this subject in China. This study examined the associations between male veterans’ military experience and depression in China. Methods A sample of 12,914 men including 669 veterans was included in the final analysis and propensity score matching, multivariable regressions and fixed effect model were used. Results The military experience was associated with a lower likelihood of depression in male veterans. In the subgroup analysis, military experience was associated with a lower likelihood of depression among married and urban male veterans. Military experience was also associated with a lower likelihood of depression in both “junior college and above” and “below junior college” groups. In contrast, evidence was lacking regarding the associations between military experience and depression for unmarried and rural veterans. Conclusions Individual characteristics could influence the relationship between military experience and depression in male veterans, and the mental health of veterans should be paid more attention and guaranteed.

Mailing campaigns are a way to keep longitudinal survey respondents engaged. While mailings usually include a survey answer request, sometimes respondents are contacted between-waves to update contact information or simply to keep respondent contact. Research on the actual impact of these between-wave contacts on response rates is scarce. This paper addresses three research questions: (1) Do between-wave campaigns impact response rate? (2) Does the addition of non-monetary incentives to between-wave campaigns further impact response rates? (3) Do between-wave campaigns also affect other members of the household? Following a one-year break between survey waves, we design a randomized survey experiment assigning respondents to five treatment conditions. Results show that keeping-in-touch mailings did not significantly increase the likelihood of an interview in the National Educational Panel Study for either children or their parents in general. However, when we focus on specific characteristics of the targets, significant differences are found. [ABSTRACT FROM AUTHOR]

Increased reliance on student loans to finance higher education (HE) raises concerns about unequal access and repayment burdens. However, who borrows and what motivates students and parents to borrow remain unclear. A longitudinal survey tracked parents and students from high school into their early career to explore the effects of socioeconomic background and attitudes towards HE on taking out student loans in Japan. The findings reveal that, first, families' economic circumstances are negatively associated with taking out student loans. Second, students, especially those from lower socioeconomic backgrounds, may choose a two-year rather than four-year institution to reduce debt. Third, students and their mothers differ in their motivations for borrowing: students' perceived risk of failing to graduate discourages them from borrowing money, whereas mothers attach more importance to the cost–benefit of student loans. These results have policy implications for alleviating debt burden and promoting equal access to HE. [ABSTRACT FROM AUTHOR]

Background: Despite recognition in the West that military veterans experience more mental health issues than the general population, little research has focused on this subject in China. This study examined the associations between male veterans' military experience and depression in China. Methods: A sample of 12,914 men including 669 veterans was included in the final analysis and propensity score matching, multivariable regressions and fixed effect model were used. Results: The military experience was associated with a lower likelihood of depression in male veterans. In the subgroup analysis, military experience was associated with a lower likelihood of depression among married and urban male veterans. Military experience was also associated with a lower likelihood of depression in both "junior college and above" and "below junior college" groups. In contrast, evidence was lacking regarding the associations between military experience and depression for unmarried and rural veterans. Conclusions: Individual characteristics could influence the relationship between military experience and depression in male veterans, and the mental health of veterans should be paid more attention and guaranteed. [ABSTRACT FROM AUTHOR]

This study proposed an information-response model, which hypothesized that information acquisition determines individuals' preventive behaviors during the pandemic through cognitive, affective, and instrumental processes. Through a two-wave survey (N = 1,501) conducted in Hong Kong, results revealed that information acquisition was associated with perceived risk, perceived efficacy, affective response, and preventive behaviors. Moreover, source trust was positively related to information utility, which mediated the effect of information acquisition on perceived efficacy and affective response. Our research model contributes to theories of information behavior by highlighting the role of instrumental factors necessary for individuals to translate information into preventive actions. [ABSTRACT FROM AUTHOR]

A major objective for longitudinal studies is retaining participants over time. The Millennium Cohort Study (MCS) is the largest on-going nationally representative study of young people in the UK (N = 18,818). Seven waves of data collection took place face-to-face between 2001 (age 9 months) and 2019 (age 17), with no monetary incentives offered. Throughout 2020 to 2021, participants were invited to take part in three web surveys focused on understanding the impact of the COVID-19 pandemic. In the third web survey, conditional monetary incentives were introduced in the form of a randomised experiment. Three quarters of the issued sample were offered a £10 voucher to complete the survey and the remaining proportion were offered no incentive as usual. Regression analyses were conducted to examine the effect of the incentive on response rates and various aspects of data quality. The incentive boosted the response rate by 7 percentage points, from a baseline of 24%, with a stronger effect observed in those who had taken part in the most recent major wave. Regarding data quality, the incentivised group showed lower break-off rates and spent more time completing the survey. Therefore, the incentive had a significant positive effect on response rates and some aspects of data quality. Future research should evaluate the effect of incentives in relation to other modes of data collection and consider alternative strategies to improve response rates for previous non-respondents, who are considered harder to reach.

As the field of artificial intelligence (AI) continues to progress, the use of AI-powered chatbots, such as ChatGPT, in higher education settings has gained significant attention. This paper addresses a well-defined problem pertaining to the critical need for a comprehensive examination of students' ChatGPT adoption in higher education. To examine such adoption, it is imperative to focus on measuring actual user behavior. While measuring students' ChatGPT usage behavior at a specific point in time can be valuable, a more holistic approach is necessary to understand the temporal dynamics of AI adoption. To address this need, a longitudinal survey was conducted, examining how students' ChatGPT usage behavior changes over time among students, and unveiling the drivers of such behavior change. The empirical examination of 222 Dutch higher education students revealed a significant decline in students' ChatGPT usage behavior over an 8 month period. This period was defined by two distinct data collection phases: the initial phase (T1) and a follow-up phase conducted 8 months later (T2). Furthermore, the results demonstrate that changes in trust, emotional creepiness, and Perceived Behavioral Control significantly predicted the observed change in usage behavior. The findings of this research carry significant academic and managerial implications, as they advance our comprehension of the temporal aspects of AI adoption in higher education. The findings also provide actionable guidance for AI developers and educational institutions seeking to optimize student engagement with AI technologies.

COVID-19 continues to threaten public health and authorities recommend that people receive additional doses of booster vaccines. We conducted a longitudinal study to investigate the correlates of uptake of additional COVID-19 booster doses among that population that already received a booster dose. In February 2023, we completed a panel study of 208 adults in the U.S. state of South Dakota who indicated receiving a booster dose in a similar survey conducted in May 2022. We measured COVID-19 vaccination status, trust in government, interpersonal trust, age, gender, education, income, and partisan self-identification. We examined the effect of change in these values of the two trust variables over time. We found statistically significant associations between age, partisan self-identification, and the uptake of additional booster doses. Neither of the time-variant trust variables were statistically significant. Our results showed the presence of differences in vaccination behavior even among the people who are fully vaccinated and boosted.

The COVID-19 pandemic has had a sizable effect on interprofessional education and collaborative practice (IPECP) globally, yet much of the available literature on the topic remains anecdotal and locally bounded. This body of literature reflects celebratory and aspirational reports, with many case studies of successful response and perseverance under conditions of extreme pressure. There is, however, a more worrisome narrative emerging that pointed to differences in pandemic response with concerns raised about the sustainability of IPECP during and after the pandemic. The COVID-19 task force of InterprofessionalResearch.Global (IPRGlobal) set out to capture the successes and challenges of the interprofessional community over the pandemic through a longitudinal survey, with a view to inform global attempts at recovery and resilience. In this article, we report preliminary findings from Phase 1 of the survey. Phase 1 of the survey was sent to institutions/organizations in IPRGlobal (representing over 50 countries from Europe, North and South America, Australia, and Africa). The country-level response rate was over 50%. Key opportunities and challenges include the abrupt digitalization of collaborative learning and practice; de-prioritization of interprofessional education (IPE); and rise in interprofessional collaborative spirit. Implications for IPECP pedagogy, research, and policy post-pandemic are considered. [ABSTRACT FROM AUTHOR]

How does a new epidemic affect individuals' expectations on economic prospects in the early stage of the breakout? We implemented an incentivized longitudinal online survey soon after the outbreak of the coronavirus disease 2019 (COVID‐19) epidemic in China to answer this question. Results show that fewer new confirmed COVID‐19 cases significantly increase individuals' expectations on gross domestic product and consumer price index growth rates. Our finding provides evidence that at the early stage of an unfamiliar epidemic, containing the spread of the disease may help to maintain positive economic expectations among individuals. [ABSTRACT FROM AUTHOR]

Background: Multicentric osteolysis nodulosis and arthropathy (MONA) is a rare autosomal recessive disorder characterized by marked progressive bone loss and joint destruction resulting in skeletal deformities. MONA is caused by MMP2 deficiency. Here we report clinical and molecular analyses of four patients in two families from Pakistan and Finland. Methods: Clinical analyses including radiography were completed and blood samples were collected. The extracted DNA was subjected to whole-exome analysis or target gene sequencing. Segregation analyses were performed in the nuclear pedigree. Pathogenicity prediction scores for the selected variants and conservation analyses of affected amino acids were observed. Results: The phenotype in the four affected individuals was consistent with multicentric osteolysis or MONA, as the patients had multiple affected joints, osteolysis of hands and feet, immobility of knee joint and progressive bone loss. Long-term follow up of the patients revealed the progression of the disease. We found a novel MMP2 c.1336 + 2T > G homozygous splice donor variant segregating with the phenotype in the Pakistani family while a MMP2 missense variant c.1188 C > A, p.(Ser396Arg) was homozygous in both Finnish patients. In-silico analysis predicted that the splicing variant may eventually introduce a premature stop codon in MMP2. Molecular modeling for the p.(Ser396Arg) variant suggested that the change may disturb MMP2 collagen-binding region. Conclusion: Our findings expand the genetic spectrum of Multicentric osteolysis nodulosis and arthropathy. We also suggest that the age of onset of this disorder may vary from childhood up to late adolescence and that a significant degree of intrafamilial variability may be present. [ABSTRACT FROM AUTHOR]

Abstract Background The aims of this study were: (1) to explore the frequency of discrepancies in work accommodations reported by workers and their supervisors, and (2) to investigate whether these discrepancies are associated with full return to work (RTW). Methods We used data from a longitudinal survey study of long-term sick-listed workers and their supervisors (n = 406). Discrepancies in reports on implementing eight types of work accommodations were explored. Logistic regression analyses were conducted to test associations between discrepancies in reported work accommodations and odds of full RTW 27 months after the sick-leave onset. Results Discrepancies were the lowest for the work accommodation therapeutic RTW (53%) and the highest (85%) for job training or education and reimbursement of therapy or treatment. Four out of eight types of work accommodations were more often reported by workers than by their supervisors. Only a discrepancy on a job reassignment within the organization was associated with lower odds of full RTW (OR 0.56, 95%-CI 0.36–0.88). Conclusion We found substantial discrepancies in the reported implementation of work accommodations between workers and their supervisors. Future research should focus on disentangling mechanisms that lead to discrepancies to avoid inefficiencies in the RTW process.

Self-perceptions of aging (SPA) are a resource in later life. As aging is accompanied with perceptions of the finitude of life, it is assumed that perceived residual lifetime may play a role in the relationship between SPA and health behavior. Among older adults aged 65 years and older, the present study tested whether the relationships between gain- and loss-related SPA and two kinds of physical activity are moderated by perceived residual lifetime. Data were based on 2.367 participants over a 3-year period. Participants with less gain-related SPA were less likely to walk on a regular basis; however, a longer residual lifetime compensated for this negative effect. In addition, participants did sports more often if they not only held less loss-related SPA but also perceived a longer residual lifetime. These results emphasize the importance of perceived residual lifetime in health promotion interventions targeting physical activity in older adults. [ABSTRACT FROM AUTHOR]

Objectives: Established in March 2020, the C19PRC Study monitors the psychological and socio‐economic impact of the pandemic in the UK and other countries. This paper describes the protocol for Wave 6 (August–September 2021). Methods: The survey assessed: COVID‐19 related experiences; experiences of common mental health disorders; psychological characteristics; and social and political attitudes. Adult participants from any previous wave (N = 3170) were re‐invited, and sample replenishment procedures helped manage attrition. Weights were calculated using a survey raking algorithm to ensure the on‐going original panel (from baseline) was nationally representative in terms of gender, age, and household income, amongst other factors. Results: 1643 adults were re‐interviewed at Wave 6 (51.8% retention rate). Non‐participation was higher younger adults, those born outside UK, and adults living in cities. Of the adults recruited at baseline, 54.3% (N = 1100) participated in Wave 6. New respondent (N = 415) entered the panel at this wave, resulting in cross‐sectional sample for Wave 6 of 2058 adults. The raking procedure re‐balanced the longitudinal panel to within 1.3% of population estimates for selected socio‐demographic characteristics. Conclusions: This paper outlines the growing strength of the publicly available C19PRC Study data for COVID‐19‐related interdisciplinary research. [ABSTRACT FROM AUTHOR]

To assess socioeconomic and ethnic inequalities in the progress of multimorbidity and whether behavioral factors explain these inequalities among older Americans. Health and Retirement Study, a longitudinal survey of older American adults. Data pooled from 2006 to 2018 (waves 8–14), which include 38,061 participants. We used 7 waves of the survey from 2006 to 2018. Socioeconomic factors were indicated by education, total wealth, poverty-income ratio (income), and race/ethnicity. Multimorbidity was indicated by self-reported diagnoses of 5 chronic conditions: diabetes, heart conditions, lung diseases, cancer, and stroke. Behavioral factors were smoking, excessive alcohol consumption, physical activity, and body mass index (BMI). Multilevel mixed effects generalized linear models were constructed to assess socioeconomic and ethnic inequalities in the progress of multimorbidity and the role of behavior. All variables included in the analysis were time-varying except gender, race/ethnicity, and education. African American individuals had higher rates of multimorbidity than White individuals; however, after adjusting for income and education, the association was reversed. There were clear income, wealth, and education gradients in the progress of multimorbidity. After adjusting for behavioral factors, the relationships were attenuated. The rate ratio (RR) of multimorbidity attenuated by 9% among participants with the lowest level of education after accounting for behavior (RR 1.21; 95% CI 1.18–1.23 and 1.11; 95% CI 1.17–1.14) in the models unadjusted and adjusted for behaviors, respectively. Similarly, RR for multimorbidity among those in the lowest wealth quartile attenuated from 1.47 (95% CI 1.44–1.51) and 1.31 (95% CI 1.26–1.36) after accounting for behaviors. Ethnic inequalities in the progress of multimorbidity were explained by wealth, income, and education. Behavioral factors partially attenuated socioeconomic inequalities in multimorbidity. The findings are useful in identifying the behaviors that should be included in health promotion programs aiming at tackling inequalities in multimorbidity. [ABSTRACT FROM AUTHOR]

To examine the role of neighbourhood, what Bronfenbrenner describes as an element in the exosystem, as a protective asset for adolescents' social and emotional wellbeing. The study used a subset of national data reported by adolescents and their parents from the Longitudinal Study of Australian Children (LSAC). A linear mixed-effect model was used to estimate the association between neighbourhood indicators and trajectories in a measure of social and emotional wellbeing (the SDQ Total Difficulties score) at ages 12–13, 14–15 and 16–17, controlling for age and sex, peer and family relationships and household material resources. The analysis revealed that parents' perceptions of belonging and their subjective assessments of the condition of housing in the neighbourhood, as well as externally sourced data on neighbourhood accessibility and socio-economic status, were significantly associated with adolescents' total difficulties scores over time. The findings revealed the role of neighbourhood level protective assets as a potential influence on adolescents' social and emotional wellbeing. Greater attention should be given to understanding the complex interactions between the resources mobilised by individuals and their families, and the influence of wider environments and social structures on young people's social and emotional wellbeing. [ABSTRACT FROM AUTHOR]

Abstract Background The COVID-19 pandemic disrupted livelihoods and diets across the world. This study aimed to assess changes in household diet diversity and food consumption between the pre-COVID-19 period (December 2019–January 2020) and during the lockdown (March–May 2020), and to identify the socio-economic characteristics that determine these changes in rural Bihar, India. Methods Households that had provided their phone numbers in the pre-COVID-19 household survey (n = 1797) were contacted for interviews during the lockdown telephonic survey in a longitudinal survey in two districts (Gaya and Nalanda) in Bihar. In total, 939 households were interviewed. Using data on food consumption from both surveys, 876 households were included in the analysis. Food and Agriculture Organization’s household diet diversity score (HDDS) was used to compare diet diversity between the pre-COVID-19 period and during the lockdown. Logistic regression was used to identify factors affecting household diet diversity and food consumption in the study households. Results Low diet diversity increased from 51.6% (95% CI 48.3–54.9) to 75.8% (95% CI 73.0–78.6) from the pre-COVID-19 to the lockdown period. Reduced food consumption was reported across all foods with nearly a quarter of the households reporting reduced consumption of fruits (27%), pulses (25%) and cereals (21%). Nearly 60% and above reported stopping consumption of nutrient-rich foods such as chicken, fish and eggs although the population was predominantly non-vegetarian. Logistic regression analysis revealed that taking a loan from neighbours/relatives (OR = 1.8; 95% CI 1.3–2.5) and belonging to lower social groups (OR = 1.8; 95% CI 1.1–2.9) increased odds of low HDDS. While those possessing ration cards had lower odds of reduced consumption of all food items, it was not associated with stopping consumption of any food item. In an unadjusted analysis, receipt of cash transfer during lockdown was also not associated with diet diversity (OR = 1.2; 95% CI 0.9–1.7). Conclusions COVID-19 has impacted the consumption of nutrient-rich foods among already low-income rural households in India. Maintaining diet diversity among socio-economically vulnerable households during periods when food consumption is most threatened by shocks such as COVID-19 would need sustained government support in terms of social protection coverage and benefit transfers in rural communities.

Introduction Pre-registration interprofessional rural immersion programmes provide students with first-hand insight into challenges faced in rural clinical practice and can influence future practice intentions. The impact of short rural and hauora Māori interdisciplinary placements on early healthcare careers is unknown. Aim Explore whether a 5-week rural interprofessional education programme influenced graduates’ choices to work in primary care, rurally, and with Māori patients. Methods We conducted a survey-based, non-randomised trial of graduates from eight healthcare disciplines who did (n = 132) and did not (n = 479) attend the Tairāwhiti interprofessional education rural programme with hauora Māori placements. Participants were surveyed at 1-, 2-, and 3-years’ post-registration. Self-reported practice location and vocation were analysed with mixed-model logistic regression. Free-text comments were analysed with Template Analysis. Results We did not identify any measurable impact on rural or community workforce participation at 3-years’ post-registration. Free-text analysis indicated that a short rural interprofessional immersion placement had long-term self-perceived impacts on desire and skills to work in rural locations, and on desire and ability to work with Māori and embrace Māori models of health. Discussion Our study suggests that short rural immersion placements do not increase rural workforce participation during early healthcare careers. Three-years’ post-graduation may be too early to determine whether rural placements help to address rural health workforce needs. Reports from rural placement participants of increased ability to care for people from rural backgrounds, even when encountered in a city, suggest that assessment of practice location may not adequately capture the benefits of rural placement programmes.

Abstract Numerous panel surveys around the world use multiple modes of data collection to recruit and interview respondents. Previous studies have shown that mixed-mode data collection can improve response rates, reduce nonresponse bias, and reduce survey costs. However, these advantages come at the expense of potential measurement differences between modes. A major challenge in survey research is disentangling measurement error biases from nonresponse biases in order to study how mixing modes affects the development of both error sources over time. In this article, we use linked administrative data to disentangle both nonresponse and measurement error biases in the long-running mixed-mode economic panel study “Labour Market and Social Security” (PASS). Through this study design we answer the question of whether mixing modes reduces nonresponse and measurement error biases compared to a single-mode design. In short, we find that mixing modes reduces nonresponse bias for most variables, particularly in later waves, with only small effects on measurement error bias. The total bias and mean-squared error are both reduced under the mixed-mode design compared to the counterfactual single-mode design, which is a reassuring finding for mixed-mode economic panel surveys.

Chen Jiang,1,* Stefanos Mastrotheodoros,2,3 Yihong Zhu,4,* You Yang,5 Souheil Hallit,6– 8 Bing Zhao,4 Yuping Fan,1 Mengyi Huang,1 Cen Chen,1 Haiyan Ma,1,9 Runtang Meng1,9,* 1School of Public Health, Hangzhou Normal University, Hangzhou, People’s Republic of China; 2Department of Psychology, University of Crete, Rethymno, Greece; 3Department of Youth and Family, Utrecht University, Utrecht, the Netherlands; 4The Affiliated Hospital of Hangzhou Normal University, Hangzhou Normal University, Hangzhou, People’s Republic of China; 5School of Nursing, Hangzhou Normal University, Hangzhou, People’s Republic of China; 6School of Medicine and Medical Sciences, Holy Spirit University of Kaslik, Jounieh, Lebanon; 7Applied Science Research Center, Applied Science Private University, Amman, Jordan; 8Research Department, Psychiatric Hospital of the Cross, Jal Eddib, Lebanon; 9Engineering Research Center of Mobile Health Management System, Ministry of Education, Hangzhou, People’s Republic of China*These authors contributed equally to this workCorrespondence: Runtang Meng; Haiyan Ma, School of Public Health, Hangzhou Normal University, No. 2318, Yuhangtang Road, Yuhang District, Hangzhou, Zhejiang, 311121, People’s Republic of China, Email mengruntang@hznu.edu.cn; mahaiyan@hznu.edu.cnPurpose: Stress may relate to an increased risk of psychological and physical disorders. Thus, a brief and efficient measurement instrument for researchers to measure stress is essentially needed.Participants and Methods: To assess measurement properties of the validated Chinese version of the Perceived Stress Questionnaire-13 (PSQ-C-13), we conducted a two-wave longitudinal study from September to December, 2021 with a convenient sample of medical students.Results: A two-factor (constraint and imbalance) structure showed good fit indices (Comparative Fit Index [CFI] = 0.972, Tucker-Lewis Index [TLI] = 0.966, Root Mean Square Error of Approximation [RMSEA] = 0.062). Spearman correlations with the Chinese Perceived Stress Scale-10 illustrated that convergent validity of the PSQ-C-13 was relatively satisfactory (r = 0.678 [baseline], 0.753 [follow-up]). Measurement invariance was supported across subgroups (gender, age, home location, single-child status, monthly households’ income, and part-time status) and time points. Internal consistency was sound (Cronbach’s α = 0.908 [baseline], 0.922 [follow-up]; McDonald’s ω = 0.909 [baseline], 0.923 [follow-up]). Stability between time points was good (Intraclass Correlation Coefficient = 0.834).Conclusion: The two factors of the PSQ-C-13 including constraint and imbalance may adequately measure the level of stress on participants. The PSQ-C-13 is a convenient and efficient instrument that contains valid and reliable psychometric properties.Keywords: Perceived Stress Questionnaire, longitudinal survey, medical students, psychometrics

Introduction: Care quality in Japan's long‐term care (LTC) agencies, including home care, is the responsibility primarily of individual agencies, and the evaluation of service processes and outcomes is minimal. Objectives: To describe the development of quality indicators for LTC (QIs‐LTC) in Japan. Methods: QIs‐LTC were developed through literature review and expert panel discussions and then were piloted and used in a 2‐year longitudinal survey. The survey (launched in September 2019) targeted older people receiving home care (n = 1450), their family members (n = 880), their professional home care providers (n = 577), and managers of home care agencies (n = 122). Results: Across eight domains (maintaining dignity, minimizing symptoms and disease deterioration, maintaining nutritional status, maintaining bladder/bowel control, encouraging physical activities, experiencing sound sleep, maintaining serenity and contentedness, and maintaining family's well‐being), 24 care quality objectives were set with 24 outcome QIs‐LTC and 144 process QIs‐LTC. In the survey, 84.8% of clients were using home care nursing, 26.3% were living alone, and 39.5% had dementia. In the month preceding the data collection, 13.9% of clients had a new disease or worsening of an existing disease, 8.8% were hospitalized at least once, and 47.9% did not participate in activities of interest. About 20% of clients' families were unable to spend time peacefully, and 52.8% were exhausted from the client's care. Conclusions: The QIs‐LTC developed in the current study are generic and client‐ and family‐centered. They encompass objective and subjective information and would facilitate standardized monitoring if adopted and comparison between LTC settings, including home care. In addition, future research directives are outlined. Geriatr Gerontol Int 2023; 23: 383–394. [ABSTRACT FROM AUTHOR]

Satisfaction with life is a self-reported measure of the quality of life that has become a critical societal indicator extensively used for the evaluation and comparison of a wide range of trends and policies. This study fuses five cross-sectional travel surveys conducted from 1992 to 2018 across various geographical locations in California. Using the fused sample, we develop generalized ordered logit models to examine the effects of demographic characteristics, travel-related attributes, general and transport-related attitudinal variables, and context-control variables on individuals' self-reported measures of life satisfaction. We find that longer commute times, mobility limitations, and a tendency to see travel as a waste of time are negatively associated with life satisfaction. To enable the use of disparate cross-sectional survey data, we incorporate context-control variables into the models. We find that life satisfaction appears to be increasing as GDP per capita increases. Among employed people, the macro-scale unemployment rate positively influences their life satisfaction. Interestingly, all else equal, we find that online opinion panel respondents have lower life satisfaction relative to respondents from other sampling methods (mainly address-based sampling), a finding that should be considered in future research using these sampling methods. Overall, this study provides a unique look at life satisfaction within a transport context, while providing an example of fusing small-scale survey datasets to study longitudinal, domain-specific, influences on variables like subjective well-being. [ABSTRACT FROM AUTHOR]

Background: The aims of this study were: (1) to explore the frequency of discrepancies in work accommodations reported by workers and their supervisors, and (2) to investigate whether these discrepancies are associated with full return to work (RTW). Methods: We used data from a longitudinal survey study of long-term sick-listed workers and their supervisors (n = 406). Discrepancies in reports on implementing eight types of work accommodations were explored. Logistic regression analyses were conducted to test associations between discrepancies in reported work accommodations and odds of full RTW 27 months after the sick-leave onset. Results: Discrepancies were the lowest for the work accommodation therapeutic RTW (53%) and the highest (85%) for job training or education and reimbursement of therapy or treatment. Four out of eight types of work accommodations were more often reported by workers than by their supervisors. Only a discrepancy on a job reassignment within the organization was associated with lower odds of full RTW (OR 0.56, 95%-CI 0.36–0.88). Conclusion: We found substantial discrepancies in the reported implementation of work accommodations between workers and their supervisors. Future research should focus on disentangling mechanisms that lead to discrepancies to avoid inefficiencies in the RTW process. [ABSTRACT FROM AUTHOR]

Influencers, characterized by their social-media-made fame, are known for endorsing brands, but are also producing political content, which has been shown to resonate with youth. However, research on how their political messages impact young people's political involvement is still scarce. To address this lacuna, we conducted a two-wave panel study (NW2 = 496) among youth aged 16 to 25 years to investigate links between following political influencers, young people's internal political efficacy, and political participation. We draw from the two-step flow of communication and opinion leadership literature to explain influencers' impact on young people's political behavior. Moreover, we advance the theoretical argument that influencers may not only relay political news, but also render it more comprehensible for youth. Influencers may thereby raise young people's confidence in their political self-competence, and consequently affect their level of political participation. We find that followers' internal political efficacy is predicted by following political influencers at moderate to high levels of perceived simplification of politics by influencers. However, there is no link between internal political efficacy and political participation, which may be explained by influencers' direct and short-term mobilizing effect on young people. Overall, our findings have important theoretical implications for contemporary understandings of opinion leadership in mediated contexts. [ABSTRACT FROM AUTHOR]

Introduction. Pre-registration interprofessional rural immersion programmes provide students with first-hand insight into challenges faced in rural clinical practice and can influence future practice intentions. The impact of short rural and hauora Māori interdisciplinary placements on early healthcare careers is unknown. Aim. Explore whether a 5-week rural interprofessional education programme influenced graduates' choices to work in primary care, rurally, and with Māori patients. Methods. We conducted a survey-based, non-randomised trial of graduates from eight healthcare disciplines who did (n = 132) and did not (n = 479) attend the Tairāwhiti interprofessional education rural programme with hauora Māori placements. Participants were surveyed at 1-, 2-, and 3-years' post-registration. Self-reported practice location and vocation were analysed with mixed-model logistic regression. Free-text comments were analysed with Template Analysis. Results. We did not identify any measurable impact on rural or community workforce participation at 3-years' post-registration. Free-text analysis indicated that a short rural interprofessional immersion placement had long-term self-perceived impacts on desire and skills to work in rural locations, and on desire and ability to work with Māori and embrace Māori models of health. Discussion. Our study suggests that short rural immersion placements do not increase rural workforce participation during early healthcare careers. Three-years' postgraduation may be too early to determine whether rural placements help to address rural health workforce needs. Reports from rural placement participants of increased ability to care for people from rural backgrounds, even when encountered in a city, suggest that assessment of practice location may not adequately capture the benefits of rural placement programmes. [ABSTRACT FROM AUTHOR]

Copyright of Rigakuryoho Kagaku is the property of International Press Editing Center Incorporation and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Abstract Objectives Established in March 2020, the C19PRC Study monitors the psychological and socio‐economic impact of the pandemic in the UK and other countries. This paper describes the protocol for Wave 6 (August–September 2021). Methods The survey assessed: COVID‐19 related experiences; experiences of common mental health disorders; psychological characteristics; and social and political attitudes. Adult participants from any previous wave (N = 3170) were re‐invited, and sample replenishment procedures helped manage attrition. Weights were calculated using a survey raking algorithm to ensure the on‐going original panel (from baseline) was nationally representative in terms of gender, age, and household income, amongst other factors. Results 1643 adults were re‐interviewed at Wave 6 (51.8% retention rate). Non‐participation was higher younger adults, those born outside UK, and adults living in cities. Of the adults recruited at baseline, 54.3% (N = 1100) participated in Wave 6. New respondent (N = 415) entered the panel at this wave, resulting in cross‐sectional sample for Wave 6 of 2058 adults. The raking procedure re‐balanced the longitudinal panel to within 1.3% of population estimates for selected socio‐demographic characteristics. Conclusions This paper outlines the growing strength of the publicly available C19PRC Study data for COVID‐19‐related interdisciplinary research.

Abstract Background At present, there is a lack of direct evidence to confirm whether the recommendations of the World Health Organization can play a role in fitness and disease prevention in the Chinese population. Therefore, we aimed to analyse 7-year longitudinal survey data to explore whether the physical activity volume recommended by the World Health Organization can help Chinese middle-aged and elderly people reduce the risk of heart disease. Methods Data for the 8327 participants who were finally included in this study were derived from the 7-year data of the China Health and Retirement Longitudinal Study (CHARLS) from 2011 to 2018. The physical activity volume is expressed by the product of physical frequency and duration, and heart disease is screened according to self-reported diagnosis and related treatment. The relationship between different physical activity volume groups and the incidence rate of heart disease was determined by a multivariate Cox proportional hazards regression model. Results After adjusting for all covariates, participants meeting the WHO’s recommendations had a 20% lower risk of heart disease than those who did not meet the WHO’s recommendations (HR = 0.80, 95% = 0.68–0.96). Subgroup analysis showed that among the participants meeting the WHO’s recommendations, men (HR = 0.71) had a lower risk of heart disease than women (HR = 0.74); in addition, the risk of heart disease was significantly reduced in participants who were middle-aged (26%), had a normal BMI range (49%), did not have hypertension (24%), did not have hyperlipidaemia (21%) and did not have lung disease (21%). It should be noted that the risk of heart disease was reduced by 72 and 67% in participants with untreated hyperlipidaemia and untreated lung disease, respectively. Conclusions This study revealed that meeting the WHO’s recommendations for physical activity volume can reduce the risk of heart disease in middle-aged and older people in China and can also effectively prevent heart disease for people with some common chronic diseases, such as hyperlipidaemia and lung disease. The results showed that physical activity for leisure and exercise had a lower preventive effect on heart disease than physical activity for a job, which may be related to the inappropriate leisure and exercise methods of the participants. Trial registration IRB00001052–11015.

BackgroundHearing loss has occurred as a critical concern for aging and health. However, it remains unknown whether nocturnal sleep and midday napping duration are associated with hearing loss in middle-aged and older adults.MethodsThe study comprised 9,573 adults from China Health and Retirement Longitudinal Study, who have completed the survey for sleep characteristics and subjective functional hearing. We collected self-reported nocturnal sleep duration (30 min). The sleep information was classified into different sleep patterns. The primary outcome was self-reported hearing loss events. Multivariate Cox regression models and restricted cubic splines were used to investigate the longitudinal association of sleep characteristics with hearing loss. We applied Cox generalized additive models and bivariate exposure-response surface diagrams to visualize the effects of different sleep patterns on hearing loss.ResultsWe confirmed 1,073 cases of hearing loss (55.1% female) during the follow-up. After adjusting for demographic characteristics, lifestyle factors and health condition, nocturnal sleep with 9 h/night had higher risks of hearing loss.ConclusionInadequate nocturnal sleep was associated with an elevated risk of poor subjective hearing in middle-aged and older adults, while moderate napping decreased the risk of hearing loss. Keeping sleep stable within recommendation duration may be a useful strategy for preventing poor hearing loss.

Background: The COVID-19 pandemic disrupted livelihoods and diets across the world. This study aimed to assess changes in household diet diversity and food consumption between the pre-COVID-19 period (December 2019–January 2020) and during the lockdown (March–May 2020), and to identify the socio-economic characteristics that determine these changes in rural Bihar, India. Methods: Households that had provided their phone numbers in the pre-COVID-19 household survey (n = 1797) were contacted for interviews during the lockdown telephonic survey in a longitudinal survey in two districts (Gaya and Nalanda) in Bihar. In total, 939 households were interviewed. Using data on food consumption from both surveys, 876 households were included in the analysis. Food and Agriculture Organization's household diet diversity score (HDDS) was used to compare diet diversity between the pre-COVID-19 period and during the lockdown. Logistic regression was used to identify factors affecting household diet diversity and food consumption in the study households. Results: Low diet diversity increased from 51.6% (95% CI 48.3–54.9) to 75.8% (95% CI 73.0–78.6) from the pre-COVID-19 to the lockdown period. Reduced food consumption was reported across all foods with nearly a quarter of the households reporting reduced consumption of fruits (27%), pulses (25%) and cereals (21%). Nearly 60% and above reported stopping consumption of nutrient-rich foods such as chicken, fish and eggs although the population was predominantly non-vegetarian. Logistic regression analysis revealed that taking a loan from neighbours/relatives (OR = 1.8; 95% CI 1.3–2.5) and belonging to lower social groups (OR = 1.8; 95% CI 1.1–2.9) increased odds of low HDDS. While those possessing ration cards had lower odds of reduced consumption of all food items, it was not associated with stopping consumption of any food item. In an unadjusted analysis, receipt of cash transfer during lockdown was also not associated with diet diversity (OR = 1.2; 95% CI 0.9–1.7). Conclusions: COVID-19 has impacted the consumption of nutrient-rich foods among already low-income rural households in India. Maintaining diet diversity among socio-economically vulnerable households during periods when food consumption is most threatened by shocks such as COVID-19 would need sustained government support in terms of social protection coverage and benefit transfers in rural communities. [ABSTRACT FROM AUTHOR]

Background: The rapid spread of the new Coronavirus and the consequent restrictions to contain transmission generated an unprecedented psychological impact on the general population. The Italian Twin Registry performed a longitudinal study to investigate to what extent genetic and environmental influences contributed to changes in depressive symptoms. Methods: Data from adult twins were collected. All participants completed an online questionnaire including the 2-item Patient Health Questionnaire (PHQ-2) just before (February 2020) and immediately after the Italian lockdown (June 2020). Genetic modeling based on Cholesky decomposition was used to estimate the role of genetic (A) and both shared (C) and unshared (E) environmental factors in the observed longitudinal course of depressive symptoms. Results: Longitudinal genetic analysis was based on 348 twin pairs (215 monozygotic and 133 dizygotic pairs) with a mean age of 42.6 years (range 18–93 years). An AE Cholesky model provided heritability estimates for depressive symptoms of 0.24 and 0.35 before and after the lockdown period, respectively. Under the same model, the observed longitudinal trait correlation (0.44) was approximately equally contributed by genetic (46%) and unshared environmental (54%) influences, while longitudinal environmental correlation was lower than genetic correlation (0.34 and 0.71, respectively). Conclusions: Although the heritability of depressive symptoms was rather stable across the targeted time window, dierent environmental as well as genetic factors seemed to act before and after the lockdown, which suggests possible gene-environment interaction. [ABSTRACT FROM AUTHOR]

Aim: We aimed to investigate the relationship between pre- and post-diagnostic 25-hydroxyvitamin D (25(OH)D) concentrations and type 2 diabetes (T2DM) over a period of 30 years in individuals who developed T2DM compared to healthy controls. Methods: This case–control study included 254 participants with blood samples collected at five different time-points (T1–T5) between 1986 and 2016. Of the 254 participants, 116 were diagnosed with T2DM between T3 and T4, and were considered cases; the remaining 138 were controls. Linear mixed regression models were used to examine pre- and post-diagnostic changes in 25(OH)D concentrations, and logistic regression was used to examine associations between these concentrations and T2DM at each time-point. Results: 25(OH)D concentrations at different time-points and the longitudinal change in concentrations differed between cases and controls, and by sex. For women, each 5-nmol/l increase in 25(OH)D concentrations was inversely associated with T2DM at T3 (odds-ratio, OR, 0.79), whereas for men, this same increase was positively associated with T2DM at T1 (OR 1.12). Cases experienced a significant decrease in pre-diagnostic 25(OH)D concentrations (p value < 0.01 for women, p value = 0.02 for men) and a significant increase in post-diagnostic 25(OH)D concentrations (p value < 0.01 for women, p value = 0.01 for men). As such, each 1-unit increase in month-specific z-score change between T1 and T3 was significantly inversely associated with T2DM (OR 0.51 for women, OR 0.52 for men), and each such increase between T3 and T5 was significantly positively associated with T2DM in women (OR 2.48). Conclusions: 25(OH)D concentrations seem to be affected by disease progression and type 2 diabetes diagnosis. [ABSTRACT FROM AUTHOR]