Longitudinal Data Research Articles

Professional quality of life profiles and its associations with turnover intention and life satisfaction among nurses: a prospective longitudinal study

BackgroundNursing shortage is a global issue. Turnover intention and life satisfaction are significant predictors of turnover. The specific nature of nursing and stressful work schedules lead to impaired professional quality of life (ProQOL), and existing studies have confirmed the effect of a dimension of ProQOL (such as secondary trauma stress, burnout and compassion satisfaction) on turnover intention and life satisfaction. Yet the heterogeneity of ProQOL across individuals is not known. A lack of research on the relationship between potential ProQOL subgroups and turnover intention and life satisfaction, and the mechanisms underlying this relationship remain understudied. The study aimed to determine different ProQOL profiles, and their cross-sectional and longitudinal effects on turnover intention and life satisfaction, while exploring the mediating roles of job satisfaction and work engagement within the relationship.MethodsData were collected at a tertiary hospital in a northeastern province of China. An online questionnaire was administered twice over the course of six months. 1832 and 900 participates provided cross-sectional and longitudinal data respectively. We used latent profile analysis (LPA) and K-means clustering to identify ProQOL profiles, and used the PROCESS macro program to conduct mediation analysis.ResultsThe LPA results supported a 4-profile solution, including balanced protection, good quality, traumatic satisfaction and burnout problem. ProQOL profiles directly predicted nurses’ current and subsequent turnover intention and life satisfaction. In addition, job satisfaction and work engagement mediated the effects of ProQOL profiles on turnover intention and life satisfaction in cross-sectional sample, and mediated the effects of ProQOL profiles on turnover intention in longitudinal sample.ConclusionThe findings suggest that nurses’ ProQOL has distinct categorical characteristics and is strongly associated with turnover intention and life satisfaction. Hospital administrators should implement individualized, join management and interventions according to each profile. Furthermore, more attentions should focus on improving nurses’ job satisfaction and work engagement levels to promote good work and life outcomes.

Posttraumatic Growth: The Role of Health and Financial Difficulties During a Pandemic.

Trauma can have a range of effects on individuals over time, including the potential for positive changes in favorable outcomes commonly referred to as posttraumatic growth. The posttraumatic growth literature has been criticized for various methodological limitations and has largely neglected the exploration of factors that may strengthen or weaken posttraumatic growth trajectories. The present study contributes to this literature by investigating trajectories of five dimensions of posttraumatic growth during the COVID-19 pandemic and the moderating effects of health and financial difficulties on these trajectories. Longitudinal data were collected monthly between July 2020 and December 2022 from a sample of employed adults in Germany, involving N = 1678 participants over 30 time points (Nobservations = 29,552). Results suggest that certain dimensions of posttraumatic growth showed significant increases (i.e., relationships) or decreases (i.e., spirituality and possibilities) over time and that trajectories of three dimensions (i.e., relationships, appreciation, and strength) demonstrated distinctive patterns of interaction with health and financial difficulties. Findings are discussed in the context of the pandemic as well as dynamic theories of personality and identity, with implications for advancing posttraumatic growth theory and research.

Socio-Economic Determinants of the Physical Activity Intensity in Russia

The study examines the socioeconomic, demographic and health determinants of physical activity intensity in Russia. Using RLMS-HSE (the Russia Longitudinal Monitoring Survey – Higher School of Economics) data for 2021 and indicators of six levels of physical activity intensity, the authors built ordered probit models and calculated average marginal effects for a set of covariates. The independent variables were selected based on the SLOTH microeconomic model describing individual preferences towards physical activity.The ordered probit regression provided empirical support for Meltzer and Jena's theoretical framework, stating that as income increases, with the pronounced substitution effect, the time spent on physical activity decreases, and the intensity of physical activity rises. In our study, the thesis about an increase in intensity with rising income was confirmed for a subsample of men but not women. For women, the intensity was determined by factors such as multiple morbidity and residing outside of Moscow or Saint Petersburg, which were not significant in the regressions for men.The study resulted in several important conclusions. The intensity analysis showed that physician recommendations regarding the type of physical activity should consider patients' workload. For individuals with a busy schedule, recommended types of exercise that require a long time (for example, walking) are not suitable. At the same time, intense workouts (such as tennis or gym classes) can be built into the schedule. There is a need to develop sports infrastructure at workplaces, allowing individuals to allocate time for classes without bearing additional time and monetary costs associated with travel to the location of workouts. As income increases, exercising near the workplace allows an individual to increase the intensity of physical activity without incurring additional time costs

Post-disaster housing recovery estimation: Data and lessons learned from the 2017 Tubbs and 2018 Camp Fires

Post-wildfire housing recovery is a complex process for which systematically collected data remains scarce. Consequently, our ability to anticipate obstacles and plan for housing recovery from future events is limited. This study leverages housing permit datasets collected in Santa Rosa and Unincorporated Sonoma County, impacted by the 2017 Tubbs Fire, and Paradise, impacted by the 2018 Camp Fire. Permit and tax assessor data are combined to gain insights into the recovery processes for these communities. Although the percentage of rebuilt destroyed homes varies significantly between regions, the peak construction demand occurs around 1.5 years after each wildfire, with a substantial decline in the reconstruction rate after 2.5 years. Moreover, the pace of transition from permit application to reconstruction completion is similar across all three regions. Using this finding, we propose a methodology to forecast the number of parcels rebuilt per unit of time based on observations from prior events. A proof-of-concept application of the proposed methodology indicates that it estimates long-term housing recovery patterns based on permit application data collected within one year of the event. These findings indicate that a longitudinal housing recovery data database would help forecast housing recovery from future disasters by providing a source for early empirical validation of predictive models.

Hostile Sexism Predicts Annual Within-Person Increases in Sexual Prejudice for Both Men and Women: Evidence from an 8-Year RI-CLPM

Although many Western democracies have made important strides toward egalitarianism in recent years, members of the LGB+ community continue to endure sustained animus. Yet, little empirical work has examined the ideologies that promote sexual prejudice in the twenty-first century. We address this oversight by positing that hostile sexism temporally precedes increases in sexual prejudice for both men and women. Accordingly, we used nine annual waves (2014–2023) of longitudinal panel data from a nationwide random sample of New Zealand adults to examine the within-person cross-lagged associations between ambivalent sexism and sexual prejudice across heterosexual men ( n = 22,751) and women ( n = 38,004). As hypothesized, hostile sexism (but not benevolent sexism) predicted within-person increases in sexual prejudice for both heterosexual men and heterosexual women over time. These results replicated across ethnic majority men and women, ethnic minority men (but not women), and LGB+ men (but not women), as well as when adjusting for participants’ age. Together, these results demonstrate that the pernicious effects of hostile sexism extend beyond women's rights, and highlight the importance of addressing sexism to foster broader egalitarian ideals over time. Additional online materials for this article are available on PWQ's website at http://journals.sagepub.com/doi/suppl/10.1177/03616843241275579 .

Plasma protein-based organ-specific aging and mortality models unveil diseases as accelerated aging of organismal systems.

Aging is a complex process manifesting at molecular, cellular, organ, and organismal levels. It leads to functional decline, disease, and ultimately death, but the relationship between these fundamental biomedical features remains elusive. By applying elastic net regularization to plasma proteome data of over 50,000 human subjects in the UK Biobank and other cohorts, we report interpretable organ-specific and conventional aging models trained on chronological age, mortality, and longitudinal proteome data. These models predict organ/system-specific disease and indicate that men age faster than women in most organs. Accelerated organ aging leads to diseases in these organs, and specific diets, lifestyles, professions, and medications influence organ aging rates. We then identify proteins driving these associations with organ-specific aging. Our analyses reveal that age-related chronic diseases epitomize accelerated organ- and system-specific aging, modifiable through environmental factors, advocating for both universal whole-organism and personalized organ/system-specific anti-aging interventions.

Simultaneous Coefficient Clustering and Sparsity for Multivariate Mixed Models

In many applications of multivariate longitudinal mixed models, it is reasonable to assume that each response is informed by only a subset of covariates. Moreover, one or more responses may exhibit the same relationship to a particular covariate for example, if they are capturing the same underlying aspect of an individual physical, mental, and emotional health. To address the above challenges, we propose a method for simultaneous clustering and variable selection of fixed effect coefficients in multivariate mixed models. We achieve this in a computationally scalable manner via a composite likelihood approach: separate mixed models are first fitted to each response, after which the model estimates are combined into a single quadratic form resembling a multivariate Wald statistic. We then augment this with fusion- and sparsity-inducing penalties based on broken adaptive ridge regression. Simulation studies demonstrate that the proposed composite quadratic estimator is similar to or better than several existing techniques for fixed effects selection in (univariate) mixed models while being computationally much more efficient. We apply the proposed method to longitudinal panel data from Australia to quantify how an individual’s overall health, assessed via a set of eight composite scores, evolves as a function of various demographic and lifestyle variables.

Credit Choices in Rural Egypt: A Comparative Study of Formal and Informal Borrowing

Access to finance is essential for fostering financial inclusion, improving household economic well-being, and stimulating economic growth. However, if not prudently managed, it can become a double-edged sword, increasing the risk of over-indebtedness, particularly among low-income households. This paper investigates the borrowing behavior of rural households in Egypt, exploring whether it is motivated by the optimization of intertemporal consumption or reflects deeper financial vulnerabilities. The study enhances our understanding of rural households’ financial behavior in Egypt and contributes to the literature by introducing perceived general self-efficacy as a key behavioral factor. The paper employs a quantitative methodology using a probit analysis of the Egypt Labor Market Panel Survey to explore the factors affecting the demand for formal loans, informal borrowing, and Rotating Saving and Credit Associations (RoSCAs). The results show that informal credit plays a dominant role in meeting rural households’ financial needs. A significant positive relationship between formal and informal credit suggests they are complementary. Elderly, married, less educated, and poorer individuals are more likely to seek both forms of credit, with employment stability being a key differentiator. Self-efficacy also has a significant positive effect. No significant regional differences are observed, except in the case of informal borrowing, with rural households in Upper Egypt showing less reliance, suggesting that social image may influence financial behavior in this region. The results suggest that demand for credit is driven by economic and financial vulnerability of rural households. The paper highlights key policy implications. First, to enhance participation in formal credit market, credit policies should offer more affordable, tailored credit relevant to starting a business rather than financing consumption, part of which is conspicuous. Second, the low self-efficacy among the rural poor suggests a need for policies that combine credit access with financial literacy and debt management support to prevent over-indebtedness.

The Association Between Latino Cultural Concepts and Fatherhood Identity on Stigma for Fathers With a Child With a Disability

ABSTRACTThis study focuses on Latino fathers and investigates the role that cultural concepts and fatherhood identity play in the stigma associated with having a child with a disability. Disability stigma is a widely held concept that acknowledges the role of culture; however, there is a lack of information on Latino fathers. Using a panel survey provider a US cross‐sectional survey was completed by 92 Latino fathers who had a child with a disability. Multiple regression was used to investigate the relationship of cultural Latino constructs (personalismo, machismo, caballerismo and respeto) and fatherhood identity on the stigma experiences of Latino fathers who have a child with a disability while controlling for the child's age and acculturation (R2 = 0.43, p < 0.001). Latino fathers with higher levels of personalismo (p = 0.05), and fatherhood identity (p < 0.001) had lower levels of stigma. Latino fathers with high levels of machismo had high levels of stigma (p < 0.001). There was no significant relationship between caballerismo and respeto towards stigma. Specific recommendations for Latino fathers include (1) the development of personalismo by focusing on the child–parent relationship; (2) a re‐frame of machismo to focus instead on caballerismo characteristics to de‐emphasize harmful effects on stigma experiences; and (3) heightening the identity as a father as a protective mechanism to strengthen resilience from stigma.

Bridging the Disparity: An Optimization Model for Equitable Allocation of Urban and Rural Educational Resources in Western China

The persistent disparity in educational resources between urban and rural areas in western China remains a critical barrier to achieving educational equity. This study addresses the critical issue by developing an innovative optimization model. The model aims to allocate financial, human, and physical resources effectively to minimize the educational quality gap between these regions. Using information from the China Education Panel Survey (CEPS) and concentrating on Xinjiang as a representative instance, our design integrates budget constraints, minimum resource requirements, and a unique regional prioritization factor. The goal of the objective function is to reduce the squared disparity in educational quality between city and rural regions. It thinks about variables such as Teacher-Student Ratio (TSR), Per Capita Investment (PCI), and Teaching Equipment Perfection (TEP). Our searchings for show that strategic resource distribution can considerably lessen educational inequalities in between metropolitan and country setups, especially by focusing on underdeveloped rural regions. Sensitivity analysis shows that customizing the local prioritization specification makes it possible for versatile policy strategies, ranging from equitable distribution to plainly sustaining rural regions. This study presents a pragmatic structure for boosting resource allotment in education. It supplies vital understandings for policymakers aiming to promote an extra equitable educational environment in Western China.

Surveillance of Excess Mortality Based on Community Perceptions of Funeral Frequency in Northern Malawi during the COVID-19 Pandemic.

Supplementary methods of mortality surveillance are needed in settings with incomplete death registration. Local perceptions of mortality levels might be useful indicators of excess deaths. Early in the COVID-19 pandemic, we developed a survey question asking respondents to evaluate the recent frequency of funerals in their community relative to a pre-pandemic baseline. We asked this question of more than 400 residents of Karonga district in Malawi, who were interviewed up to five times during a panel survey conducted by mobile phone between June 2020 and May 2021. The proportion of respondents reporting more funerals than usual in their community increased in early 2021, indicating excess mortality not otherwise detected by case-based surveillance and only partially visible in reports of inpatient deaths at health facilities. Systems assessing changes in perceptions of mortality can be rapidly established during an epidemic and may help detect excess deaths at local levels.

Low Iron Diet Improves Clinical Arthritis in the Mouse Model of Collagen-Induced Arthritis.

Background: In response to inflammation, the absorption of nutritional iron is restricted. Since the pathophysiological significance of the presence and uptake of iron in chronic inflammation is still unknown, we tested the effect of a low iron diet on the clinical course of arthritis in the mouse model of collagen-induced arthritis (CIA). Methods: Six- to eight-week-old male DBA/1 mice were fed either a normal (51 mg/kg) or a low iron diet (5 mg/kg) starting four weeks before the first immunization. From day 4 after the second collagen booster made on day 25, the development of arthritis was regularly monitored until the end of the experiment (day 34), using a standard clinical arthritis score. Concentrations of mouse anti-bovine and anti-mouse collagen type 2 IgG antibodies were measured by ELISA; blood cell counts were performed and mediators of inflammation, tissue matrix degradation, oxygenation and oxidative stress were measured in the mouse sera of both diet groups at the end of the experiment by bead-based multiplex assay. Fe2+, Fe3+, oxidized and reduced glutathione (GSH and GSSG) and malondialdehyde (MDA) were quantified in whole paw tissue by ELISA. Quantitative PCR was performed in the tissues for glutathione peroxidase 4 and other key regulator genes of iron metabolism and ferroptosis. We used nonparametric tests to compare cross-sectional data. Nonlinear regression models were used for longitudinal data of the arthritis scores. Results: Mice fed a low iron diet showed a significantly less severe course of arthritis compared to mice fed a normal iron diet (p < 0.001). The immune response against bovine and mouse type 2 collagen did not differ between the two diet groups. Mice fed a low iron diet exhibited significantly lower serum levels of tissue inhibitor of metalloproteinase-1 (TIMP-1), a central regulator of inflammation and tissue matrix degradation (p < 0.05). In addition, a low iron diet led to a significant reduction in red blood cell indices, indicating restricted iron uptake and latent iron deficiency, but had no effect on hemoglobin concentrations or red blood cell counts. There were no differences between the dietary groups in Fe2+ or Fe3+ content in the paws. Based on calculation of the GSH/GSSG ratio and high MDA levels, high oxidative stress and lipid peroxidation were likewise detected in the paws of both diet groups of mice. Consequently, no differences associated with gene expression of key regulators of iron metabolism and ferroptosis could be detected between the paws of both diet groups. Conclusions: Restricted dietary iron intake alleviates immune-mediated inflammation in CIA without causing anemia. This finding suggests a promising option for dietary treatment of arthritis in inflammation. The underlying mechanism causing reduced arthritis may be linked to the complex regulatory network of TIMP-1 and appears to be independent from the local iron levels, oxidative stress and ferroptosis in the synovial tissues.

The Effect of the COVID-19 Pandemic on Life Satisfaction: Does Social Belonging Matter as a Mechanism and are There Differences by Age?

The effect of the COVID-19 pandemic on life satisfaction has been a topic of worldwide research, mostly indicating a drop in individual’s life satisfaction with some differences between subgroups. However, literature on related mechanisms is scarce. This study examines whether the sense of social belonging is a mechanism that explains pandemic-related changes in life satisfaction across different age groups. Using a rich longitudinal data set of the adult cohort of the German National Educational Panel Study and employing fixed effects panel regression models, we show that the COVID-19 pandemic is, on average, negatively associated with individual life satisfaction and social belonging. Yet, mediation and sensitivity analysis questions the general importance of social belonging as a relevant mechanism irrespective of individuals’ age. The results also suggest that the negative effects of the pandemic on social belonging were indeed significant for individuals with average or high pre-pandemic social belonging, while individuals with low pre-pandemic social belonging experienced an increase in their sense of social belonging. This leads to an expanded discussion of which groups of people are most affected by the impact of the COVID-19 pandemic and what other mechanisms can be hypothesized to explain this negative impact on people's life satisfaction.

Maternal depressive symptoms in and beyond the perinatal period: Associations with infant and preschooler sleep.

(1) To describe sleep in infancy and early childhood among children born to mothers with and without clinically significant depressive symptoms, and (2) to explore the relationships between maternal depressive symptoms and sleep patterns and problems during infancy and early childhood. Secondary analysis of longitudinal data from the Moe Kura: Mother and Child, Sleep and Wellbeing in Aotearoa/New Zealand study. Data was collected in pregnancy (T1), 12 weeks postpartum (T2), and 3 years post-birth (T3). Participants were 262 Māori and 594 non-Māori mother-child dyads. Chi-square and Independent T-tests measured bivariate associations between maternal mood (T1, T2, T3) and child sleep characteristics (T2, T3). Binary logistic regression models examined longitudinal and concurrent associations between maternal depressive symptoms and infant and preschooler sleep. Adjusted models accounted for key socio-demographic variables, as well as infant sleep variables in preschooler models. Bivariate associations were found between prior and concurrent depressive symptomology and many of the infant and preschooler sleep outcomes. In adjusted models, prenatal depressive symptoms remained independently associated with shorter-than-recommended sleep durations in preschoolers. In these models, concurrent depression was also associated with night waking, night LSRSP, and perceived sleep problems at 12 weeks postpartum, and CSHQ-determined and perceived sleep problems at 3 years post birth. Longitudinal and cross-sectional associations were found between maternal depressive symptoms and child sleep. Sleep appears to be one pathway by which maternal depression confers risk for suboptimal child health outcomes. Findings support the need for earlier and better maternal mental health services.

Did internet usage reduce the impact of COVID-19 on the mental health of middle-aged and older adults? A difference-in-differences study based on CFPS data.

Mental health is the cornerstone of public health, especially where middle-aged and older adults during the COVID-19 pandemic were concerned. The impact of Internet usage on mental health in the time of the crisis still presents a mixed picture. This study employs the PSM-DID method according to longitudinal data (CFPS) to explore whether Internet usage reduced the impact of COVID-19 on the mental health of middle-aged and older adults. The results reveal that Internet use improves the mental health of middle-aged and older adults during the pandemic in China, but that the impact varies between urban and rural residents. Furthermore, the moderator effects model shows that people's perceptions of the Internet have an impact upon the length of time spent online and its consequent effect on mental health. These findings suggested that Internet use had a significant effect on alleviating the levels of depression in middle-aged and older adults. Greater marginal gains may be realized by enhancing the digital capacity of and narrowing the digital divide that exists among rural residents. The enhancement of digital capacity and proper guidance in digital education should be taken into consideration where the mental health of middle-aged and older adults is at issue.

A Preliminary Investigation of a Conceptual Model Describing the Associations Between Childhood Maltreatment and Alcohol Use Problems

Background/Objectives: Childhood maltreatment has been linked to numerous adverse outcomes in adulthood, including problem substance use. However, not all individuals exposed to childhood maltreatment develop substance use problems, indicating the role of other factors in influencing this outcome. Past work suggests that adverse early life experiences, including childhood maltreatment, lead to neurobiological changes in frontolimbic functions that, in turn, result in altered stress and reward responses, heightened impulsivity, affect dysregulation, and, ultimately, increased risk for maladaptive behaviors such as substance use. The aim of this preliminary investigation using cross-sectional data was to test associations between these factors in the relationship between childhood maltreatment and alcohol use problems in a sample of emerging adults. Methods: Emerging adults (18–30 years old) who identified as regular drinkers (i.e., drinking at least 2–4 times in the past month) were recruited from a crowd-sourcing platform (Prolific) as well as community samples. Participants completed online standardized questionnaires assessing reward sensitivity and responsiveness, impulsivity, emotion regulation, and alcohol consequences. Results: Path analyses demonstrated good fit for the data (SRMR = 0.057, RMSEA = 0.096, 90% CI [0.055, 0.142], CFI = 0.957). Childhood maltreatment was associated with reward responsiveness (β = −0.026, Z = −4.222, p &lt; 0.001) and emotion dysregulation (β = 0.669, Z = 9.633, p &lt; 0.001), which in turn was associated with urgency and, subsequently, alcohol consequences (β = 0.758, Z = 7.870, p &lt; 0.001). Conclusions: Although these findings are preliminary, the current study is one of the first to test a comprehensive model addressing the relationship between childhood maltreatment and alcohol use problems. The findings have the potential to inform treatment strategies that target motivation and goal-directed action for reducing and managing consequences associated with childhood maltreatment. Future research should test the model using longitudinal data to address the limitations of a cross-sectional study and assess temporal associations between constructs.

Deep brain stimulation halts Parkinson’s disease-related immune dysregulation in the brain and peripheral blood

Immune dysregulation in the brain and periphery is thought to contribute to the detrimental neurodegeneration that occurs in Parkinson’s disease (PD). Identifying mechanisms to reverse this dysregulation is key to developing disease-altering therapeutics for this currently incurable disease. Here we utilized the longitudinal data from the Parkinson’s Progression Marker Initiative to demonstrate that circulating lymphocytes progressively decline in PD and can be used to predict future motor symptom progression. Deep brain stimulation (DBS), which is used as a symptomatic treatment, could halt this progressive decline. By analyzing specific immune populations from a second cohort of patients, we could show that DBS causes a shift from the pro-inflammatory CD4+ T helper 17 cells driving neurodegeneration to anti-inflammatory CD4+ regulatory T cells. RNA-sequencing and immunohistochemistry in the brain of the A53T alpha-synuclein rat model of PD revealed that DBS also decreases neuroinflammation. These data suggest a potential disease-altering role for DBS by halting inflammatory processes.

Risk and protective factors for mental health problems in children and adolescents during the COVID-19 pandemic: results of the longitudinal COPSY study

AbstractThe COVID-19 pandemic has had profound effects on the mental health of children and adolescents worldwide, exacerbating existing challenges and introducing new stressors. This paper explores the impact of risk and protective factors on the mental well-being of young individuals during the pandemic. Using data from the German nationwide, population-based, longitudinal COPSY study (n = 2,471, girls: 50.0%, age 7–17 years) spanning nearly three years, this study investigates how factors such as gender, age, parental education, parental depressive symptoms, family cohesion, and social support influence mental health. Mental health problems were assessed using the Strengths and Difficulties Questionnaire (SDQ). Latent growth analysis and structural equation modeling were employed to analyze cross-sectional and longitudinal data collected at five measurement points (initial response rate: 46.8%). Findings revealed that boys and younger children are at a higher risk for mental health problems. Additionally, low parental education, single parenthood, parental burden due to the pandemic and parental depressive symptoms were significantly linked with mental health problems in children. Conversely, personal resources, family cohesion, and social support were associated with less symptoms. Family cohesion additionally buffered against the negative impact of parental depressive symptoms. The study underscores the importance of multi-level interventions that consider individual, familial, and societal factors in promoting positive mental health outcomes among children and adolescents during challenging times. Continued research and collaborative efforts are needed to develop evidence-based strategies for supporting the resilience of young individuals in the face of future adversities.

Impact of retirement on physical activity in older adults: a longitudinal analysis from SHARE

Abstract Background With ageing populations experiencing longer post-retirement years, understanding the influence of major life transitions on health behaviours such as physical activity (PA) is crucial. This study assesses how retirement affects PA levels by analysing longitudinal data from the Survey of Health, Ageing and Retirement in Europe (SHARE). Methods This analysis utilised longitudinal data from 2004 to 2020, categorising PA according to WHO guidelines adapted to individual-level data from successive waves of SHARE. The study examined the relative risks (RR) of being physically active, using generalised estimating equation models to compare periods before and after retirement. Results The cohort consisted of 8,998 individuals aged 50 and older who were employed at baseline and retired during the study period. Initially, 83.6% of participants were categorised as physically active. A noticeable decline in PA was observed post-retirement, with RR decreasing from 1.08 (95%CI 1.07-1.10) more than 10 years before retirement to 0.90 (95%CI 0.88-0.93) more than 10 years after retirement, compared to the year of retirement. Previously inactive individuals often increased their PA levels, peaking 3 to 4 years post-retirement (RR increased from 0.79, 95%CI 0.70-0.88, to 1.49, 95%CI 1.36-1.63), suggesting a temporary boost in moderate-intensity PA during the so-called “honeymoon phase”. Conclusions Retirement can serve as a window of opportunity for enhancing leisure-time PA, particularly among those previously inactive. Sustained increases in PA are less common, highlighting the need for targeted interventions to support continued engagement in PA among retirees. The variations in PA trends suggest that interventions should be tailored to individual characteristics such as age at retirement, previous job type, and educational background to maximise public health impact. This study underscores the challenges of ensuring long-term health benefits through PA. Key messages • Retirement significantly alters physical activity patterns, highlighting an opportunity for targeted health interventions. • Longitudinal data reveals critical periods post-retirement that could benefit from public health strategies to maintain or increase physical activity among older adults.

Food insecurity is associated with poor mental health and health risk behaviors in Czechia

Abstract Background Food insecurity (FI) is one of social determinants of health and a profound public health concern because it leads to malnutrition and hence poor health. COVID-19 impacted people disproportionately and exacerbated preexisting social and health inequalities. The aim of this study was to understand how socioeconomic and health conditions affected one’s FI in Czechia during the pandemic using a representative panel of Czech adults from a longitudinal survey, Life During the Pandemic collected in October 2022 as part of a Czech longitudinal survey. Methods A study sample of 1,499 respondents was included in our multiple logistic regression models. Depressive symptoms and anxiety symptoms were assessed using validated questionnaires PHQ-2 and DAG-2. Results Approximately one third of the study sample (32.4%) reported being food insecure. In the fully-adjusted model, adults with depressive symptoms (OR 2.37, CI 1.49, 5.02), problems with sleeping (OR 2.20, CI 1.64, 2.96), smoking habit (OR 2.27, CI 1.68, 3.07), lower fruit and vegetable consumption (OR 1.50, CI 1.04, 2.17) had greater odds of experiencing FI. The lowest income group was associated with 6.2 times greater odds of reporting FI as compared to the high-income group (CI 3.96, 9.67). Lower education attainment also had higher odds of experiencing FI (OR 2.15, CI 1.40, 3.31). Anxiety was not a significant predictor for FI. Conclusions Our study highlights that food insecurity is associated with depressive symptoms, poor quality of sleep and lower consumption of fruit and vegetables among adults. Food insecurity was also evident among lower income and lower education attainment. Funding source This study was supported by The Charles University Grant Agency (GA UK). Key messages • Our study suggests that adults with poor mental health and diet quality experience food insecurity. • Given the established link between a balanced diet and mental well-being, interventions should encompass not only food security but also the quality of dietary intake.