Associations of early changes in lung ultrasound aeration scores and mortality in invasively ventilated patients: a post hoc analysis.

BACKGROUND: Lung ultrasound (LUS) in an emerging technique used in the intensive care unit (ICU). The derivative LUS aeration score has been shown to have associations with mortality in invasively ventilated patients. This study assessed the predictive value of baseline and early changes in LUS aeration scores in critically ill invasively ventilated patients with and without ARDS (Acute Respiratory Distress Syndrome) on 30- and 90-day mortality. METHODS: This is a post hoc analysis of a multicenter prospective observational cohort study, which included patients admitted to the ICU with an expected duration of ventilation for at least 24 h. We restricted participation to patients who underwent a 12-region LUS exam at baseline and had the primary endpoint (30-day mortality) available. Logistic regression was used to analyze the primary and secondary endpoints. The analysis was performed for the complete patient cohort and for predefined subgroups (ARDS and no ARDS). RESULTS: A total of 442 patients were included, of whom 245 had a second LUS exam. The baseline LUS aeration score was not associated with mortality (1.02 (95% CI: 0.99 - 1.06), p = 0.143). This finding was not different in patients with and in patients without ARDS. Early deterioration of the LUS score was associated with mortality (2.09 (95% CI: 1.01 - 4.3), p = 0.046) in patients without ARDS, but not in patients with ARDS or in the complete patient cohort. CONCLUSION: In this cohort of critically ill invasively ventilated patients, the baseline LUS aeration score was not associated with 30- and 90-day mortality. An early change in the LUS aeration score was associated with mortality, but only in patients without ARDS. TRIAL REGISTRATION: ClinicalTrials.gov, ID NCT04482621.

Trajectories of quality of life among disaster victims: A national longitudinal study.

AIM: This study categorized quality-of-life trajectories among disaster victims in South Korea and identified the characteristics and predictors of each trajectory. BACKGROUND: Disaster victims experience tremendous physical and mental distress, which has a long-term impact on their quality of life. METHODS: We conducted a cross-sectional study using data obtained from the fourth Long-term Survey on the Change of Life of Disaster Victims conducted from 2017 to 2019. The study included 257 participants who experienced a typhoon, earthquake, or fire and completed the three-year follow-up. Latent transition analysis was used to identify the potential class of quality-of-life trajectories among disaster victims. Independent t tests, χ2 tests, and logistic regression were used to identify the predictors of quality-of-life trajectories. RESULTS: Two latent quality-of-life classes were identified: persistent low-level and persistent high-level. Factors associated with the persistent high-level trajectory included higher education level, no injury/disease from the disaster, better subjective health status, higher social support, and lower social maladjustment. DISCUSSION: Quality of life early after a disaster is maintained throughout subsequent years; early and active support following disasters is essential to promote its rapid improvement. CONCLUSION: Targeted educational programs in disaster-prone areas are recommended to bolster resilience among individuals with lower education. Moreover, governmental and institutional efforts are needed to support victims who lack resources for disaster recovery. IMPLICATIONS FOR NURSING AND HEALTH POLICY: There is a need to establish community-based social support systems and enhance nurses' disaster response capabilities to support vulnerable groups, with such interventions tailored to reflect disaster-affected victims' unique characteristics and needs, along with ongoing research and evaluation for continuous improvements to nursing practice and disaster response.

Does e-cigarette use predict short-term smoking cessation behaviors among adults who smoke in Mexico? A longitudinal study.

INTRODUCTION: This study assessed quit attempts among adults who use cigarettes either exclusively or with e-cigarettes in Mexico, where non-daily smoking predominates. METHODS: An open cohort of Mexican adults who smoke was surveyed every four months from November 2018 to March 2021. Participants followed to the next survey were analyzed (n = 2220 individuals, 4560 observations). Multinomial logistic models regressed smoking quit attempts reported at the followup survey (ref = no attempt; tried to quit; sustained attempt of ≥30 days) on e-cigarette use frequency (none = ref; 1-2 days/week; ≥3 days/week), adjusting for sociodemographics and smoking-related variables. Additional models subdivided e-cigarette users by intentions to quit smoking in the next six months (i.e., yes/no), use of nicotine (i.e., yes/no), and vaping device used (i.e., open/closed). RESULTS: At 4-month follow-up, 32.7 % had tried to quit, and 2.9 % had quit for 30 days or more. Compared to those who smoke exclusively, occasional, and frequent e-cigarette users were more likely to try to quit (Adjusted Relative Risk Ratio or ARRR = 1.26 and 1.66, respectively) but no more likely to sustain their quit attempt. Among those who intended to quit smoking, e-cigarette users were no more likely to either try or sustain quit attempts. Furthermore, use of e-cigarettes with nicotine (59.6 %) was unassociated with cessation except that those who frequently used e-cigarettes with nicotine were more likely to try to quit than those who smoke exclusively (ARRR = 1.88). Device type used was not differentially associated with outcomes. CONCLUSIONS: Mexicans who smoke and use e-cigarettes appear more likely than those who smoke exclusively to try to quit but not to sustain abstinence.

Using non-invasive behavioral and physiological data to measure biological age in wild baboons.

Biological aging is near-ubiquitous in the animal kingdom, but its timing and pace vary between individuals and over lifespans. Prospective, individual-based studies of wild animals-especially non-human primates-help identify the social and environmental drivers of this variation by indicating the conditions and exposure windows that affect aging processes. However, measuring individual biological age in wild primates is challenging because several of the most promising methods require invasive sampling. Here, we leverage observational data on behavior and physiology, collected non-invasively from 319 wild female baboons across 2402 female-years of study, to develop a composite predictor of age: the non-invasive physiology and behavior (NPB) clock. We found that age predictions from the NPB clock explained 51% of the variation in females' known ages. Further, deviations from the clock's age predictions predicted female survival: females predicted to be older than their known ages had higher adult mortality. Finally, females who experienced harsh early-life conditions were predicted to be about 6 months older than those who grew up in more benign conditions. While the relationship between early adversity and NPB age is noisy, this estimate translates to a predicted 2-3 year reduction in mean adult lifespan in our model. A constraint of our clock is that it is tailored to data collection approaches implemented in our study population. However, many of the clock's components have analogs in other populations, suggesting that non-invasive data can provide broadly applicable insight into heterogeneity in biological age in natural populations.

Sleeping more than 8 h: a silent factor contributing to decreased muscle mass in Chinese community-dwelling older adults.

BACKGROUND: Muscle mass loss is an age-related process that can be exacerbated by lifestyle, environmental and other factors, but can be mitigated by good sleep. The objective of this study was to investigate the correlation between varying time lags of sleep duration and the decline in muscle mass among individuals aged 60 years or older by using real-world health monitoring data obtained from wearable devices and smart home health monitoring devices. METHODS: This study included 86,037 observations from 2,869 participants in the Mobile Support System database. Missing data were supplemented by multiple imputation. The investigation utilized generalized estimating equations and restricted cubic spline curve to examine the relationship between sleep duration and low muscle mass. Various lag structures, including 0, 1, 2, 0-1, 0-2, and 1-2 months, were fitted, and the interaction effect of observation time with sleep duration was estimated for each lag structure. Additionally, subgroup analyses were conducted. The models were adjusted for various covariates, including gender, age, body mass index, footsteps, smoking status, drinking status, marital status, number of chronic diseases, number of medications, diabetes mellitus, hyperlipidemia, coronary artery disease, respiratory disease, and musculoskeletal disease and an interaction term between time and sleep duration. RESULTS: The results of the generalized estimating equation showed a significant correlation (p < 0.001) between sleep duration of 8 h or more and low muscle mass in older adults, using 6-7 h of sleep as a reference. This effect was seen over time and prolonged sleep accumulated over multiple months had a greater effect on muscle mass loss than a single month. The effect of long sleep duration on muscle mass loss was significantly greater in females than in males and greater in the over-75 than in the under-75 age group. Restricted cubic spline plots showed a non-linear relationship between sleep duration and low muscle mass (p < 0.001). CONCLUSIONS: This study found an association between sustained nighttime sleep of more than eight hours and decreased muscle mass in older adults, especially older women.

Clarifying the Links between Perceived Stress and Depressiveness: a Longitudinal Study of COVID-19's Effects on Adolescents in Germany.

Young people are navigating an increasingly uncertain and unstable social and economic environment, further complicated by COVID-19. Individual resources and vulnerabilities, such as mental health and sensitivity to stress, play a significant role in how well youth adapt to the career paths and living conditions altered by the pandemic, a dynamic that is not yet well understood. This study examined the role of COVID-19 on the intertwined relation between perceived stress and depressiveness (negative and positive affect) in adolescents, focusing on gender differences. Longitudinal data from 673 German adolescents (Mage = 16.8 years, SDage = 0.91; female = 59%) were collected in three waves, before (T1) and during the pandemic (T2, T3). Using Latent Change Score models, the bidirectional relation between perceived stress and depressiveness was analyzed, considering gender as a moderator. The results showed that adolescents who found their situation stressful were at risk of developing depressiveness at the outbreak of the pandemic and throughout its progression. As the pandemic progressed, an increase in positive affect was linked to heightened perceived stress. Gender-specific differences were particularly evident in the levels of perceived stress and depressiveness, with women being more vulnerable. This study highlights how vulnerabilities in stress perception affect adolescents' mental health, with gender-specific differences underscoring the need for tailored mental health measures.

Positive school climate and strong school identification as protective factors of adolescent mental health and learning engagement: A longitudinal investigation before and during COVID-19.

The COVID-19 pandemic resulted in significant disruptions for children and youth around the world, especially given school closures and shifts in teaching modes (on-line and hybrid). However, the impact of these disruptions remains unclear given data limitations such as a reliance on cross-sectional and/or short-interval surveys as well as a lack of broad indicators of key outcomes of interest. The current research employs a quasi-experimental design by using an Australian four-year longitudinal survey with student responses from Grade 7 to 10 (aged 12-15 years old) (N = 8,735 from 20 schools) in one education jurisdiction. Responses are available pre-pandemic (2018 and 2019) and during the pandemic (2020 and 2021). Importantly the survey included measures of well-being, mental health and learning engagement as well as potential known school-environment factors that could buffer against adversity: school climate and school identification. The findings were generally in line with key hypotheses; 1) during COVID-19 students' learning engagement and well-being significantly declined and 2) students with more positive school climate or stronger school identification pre-COVID-19 fared better through the disruption of the pandemic. However, these same students suffered from a steeper decline in well-being and engagement which may be explained through the impact of losing meaningful social or group connections. This decline was evident after controlling for gender, academic grade (as a proxy of age), parental education, and socioeconomic status. It is concluded that investing in the social environment of schools is important in crisis preparedness and can facilitate better crisis response among youth.

Keeping Us Young? Grandchild Caregiving and Older Adults' Cognitive Functioning.

Objective: This study investigates longitudinal associations between providing care to grandchildren and cognitive functioning. It also examines heterogeneity in these relationships. Background: Grandchild caregiving may support older adults' cognitive functioning by providing social engagement and emotional meaning. However, studies caution that time- intensive or custodial grandchild caregiving can take a toll on grandparents. The cognitive health implications of grandchild caregiving may thus depend on contexts including time spent providing care and living arrangements. They may also vary across sociodemographic groups and have greater effects on older adults who are more vulnerable to cognitive decline. Method: Data came from the 1998-2016 waves of the Health and Retirement Study (HRS) and represented over 11,000 U.S. adults age 50+. Using linear growth curve and dynamic panel models, the analysis explored relationships between level of grandchild care and cognitive functioning over time and across sociodemographic, family, work and health characteristics. Results: Those providing 100-199, 200-499 or 500+ hours of care to grandchildren had better cognitive functioning than non-caregivers regardless of whether they lived with grandchildren. Positive links between grandchild caregiving and cognition were stronger for lower income, non-working, and unpartnered adults and grew with age and functional limitations. Conclusion: These findings suggest that providing care to minor grandchildren may help support cognitive functioning as adults age. They also support the hypothesis that more vulnerable or isolated groups of older adults may benefit the most from grandchild caregiving.

Method considerations for school psychology from longitudinal research on gifted students.

This article draws from longitudinal research on gifted students to provide method considerations for school psychology research. First, we provide some background of gifted and talented education in the United States. Then, drawing from multiple longitudinal samples of gifted students, in particular the Study of Mathematically Precocious Youth (SMPY), we illustrate the role of replications, including constructive replications. In the middle two sections, we highlight methodological design features focused first on predictors, and then on outcomes, considering types, magnitude, and breadth. Finally, we provide additional considerations and future directions, including expanding the outcome domain, overcoming the limitations of past gifted and talented research studies, and suggesting possibilities for future research. Our article may help improve school psychology research as well as assist school psychology researchers interested in conducting their own longitudinal studies using gifted samples.

Counternarratives that illuminate faculty agency: A five-year longitudinal qualitative study of physician educators in academic medicine.

PURPOSE: Physician educators are often expected to direct educational programs and assume roles that conform to field norms for career advancement but that may not afford meaningful work for educators. The purpose of this study was to describe and analyse the perspectives and actions taken by physician educators in response to tension between feeling compelled to direct an educational program and doing educationally meaningful work. METHODS AND MATERIALS: We used data from a longitudinal study and focused on three participants who, over the course of the five-year study, offered significant insights into how physician educators act in ways that run counter to expectations for career advancement. Our narrative analysis entailed organizing data from interview transcripts into time-ordered displays, weaving data into counternarratives that were edited by participants, and using the theory of faculty agency (and its key constructs, strategic perspectives and strategic action) to thread the stories together. RESULTS: In each counternarrative, the participant deliberated their sense of being a physician educator (strategic perspectives) and when expectations became untenable, they did what they needed to do to engage in meaningful work (strategic action) rather than comply with expectations for career advancement in academic medicine. For one participant, faculty agency meant leaving academic medicine; for another, it meant reducing clinical time so that unpaid time could be devoted to education; and for another, it meant opting not do direct a reputable education program. CONCLUSIONS: Faculty agency is a useful theoretical lens for conceptualizing how physician educators navigate their careers in academic medicine. Counternarratives that illuminate faculty agency offer stories that describe alternate career paths and portend a different future for physician educators.

Use IT again? Dynamic roles of habit, intention and their interaction on continued system use by individuals in utilitarian, volitional contexts.

This paper employs a longitudinal perspective to examine continued system use (CSU) by individuals in utilitarian, volitional contexts when alternative systems are present . We focus on two key behavioural antecedents of CSU - habit and continuance intention - and theorise how the relationships between CSU and these antecedents evolve over time. In addition, we hypothesise how the interaction effect of habit and intention on CSU evolves temporally. Our theorising differs from extant literature in two important respects: 1) In contrast to the widespread acceptance of the diminishing effect of continuance intention on CSU in the information systems (IS) literature, we hypothesise that in our context, its impact increases with time; and 2) In contrast to the negative moderation effect of habit on the relationship between intention and CSU proposed in the literature, we posit a positive interaction effect. We collect longitudinal survey data on the use of a higher education IS from students in a European university. Our results suggest that the impact of continuance intention on CSU as well as the interaction effect between habit and intention are increasing over time. We further introduce a methodological innovation - the permutation approach to conduct the multi-group analysis with repeated measures - to the literature.

Socialized to care: Nursing student experiences with faculty, preceptors, and patients.

Effective socialization of nurses has led to positive outcomes for both hospitals and nurses, including higher retention and greater job satisfaction. The importance of faculty, preceptors, and patients in the socialization of nursing students has been documented extensively in the literature. The research presented in this article examines data from qualitative, longitudinal interview transcripts of 15 students as they progressed through a 2-year nursing program to determine how these three types of influence socialize nursing students, and at which points in their education. Using multiple perspective qualitative longitudinal interviews, I interviewed participants every semester of nursing school about their experiences. From the data, these three parties have an impact at different points in their socialization, starting with faculty who socialize students to nursing school by helping them think like nurses. Next, preceptors can be barriers or facilitators of learning by demonstrating how to act like nurses and providing insight about how and why nurses may act the way that they do. Finally, patients help students put everything together by applying classroom lessons to clinical settings. The research concludes with implications for research, practice, and policy.

Trajectory research in children with an autism diagnosis: A scoping review.

LAY ABSTRACT: The types of outcomes studied in children on the autism spectrum include clinical characteristics, such as social functioning, communication, language, or autism symptoms. Research that measures these outcomes at multiple timepoints is useful to improve our understanding of what to expect as children develop. In trajectory studies, researchers assess outcomes at three or more timepoints. This method has advantages over two-timepoint studies because it allows researchers to describe changes in the speed of development, such as accelerations, plateaus, or slowdowns. We identified and reviewed 103 published trajectory studies in children (to age 18 years) with an autism diagnosis. Importantly, we did not include studies of treatments or their effects, nor did we summarize the results of studies. Instead, this review summarizes the characteristics of the available published research, including the methods used, the many different outcomes that have been studied over time and the ages over which they have been studied. This summary may be of interest to autistic people and caregivers (parents) who want to know about the existence of research that provides answers about what to expect during an autistic child's development. We have recommended that future trajectory research efforts try to make up for the lack of studies from low- and middle-income countries; that more attention is given to the following outcomes that are meaningful to caregivers and autistic people; and to try to fill in the age gaps where more outcome-specific data are needed.

Emerging Risk of Adolescent Depression and Suicide Detected Through Pediatric Primary Care Screening.

OBJECTIVE: The goal of the current study was to document patterns of stability and change in adolescent depression and suicide risk detected via universal depression screening in pediatric primary care and to determine who may go on to experience emerging risk. METHODS: Retrospective electronic health record information (sociodemographic data and depression screening results for 2 timepoints) was extracted for adolescents aged 12-17 who attended well-visits between November 15, 2017, and February 1, 2020, in a large pediatric primary care network. A total of 27,335 adolescents with 2 completed depression screeners were included in the current study. RESULTS: While most adolescents remained at low risk for depression and suicide across the 2 timepoints, others experienced emerging risk (i.e., low risk at time 1 but elevated risk at time 2), decreasing risk (i.e., high risk at time 1 but low risk at time 2) or stable high risk for depression or suicide. Odds of experiencing emerging depression and suicide risk were higher among adolescents who were female (compared to males), Black (compared to White), and had Medicaid insurance (compared to private insurance). Odds of experiencing emerging depression risk were also higher among older adolescents (compared to younger adolescents) as well as adolescents who identified as Hispanic/Latino (compared to non-Hispanic/Latino). CONCLUSIONS: Findings can inform symptom monitoring and opportunities for prevention in primary care.

Mother-Infant Dyadic Synchrony and Interaction Patterns After Infant Cardiac Surgery.

OBJECTIVE: Parents and their infants with complex congenital heart disease (CHD) face relational challenges, including marked distress, early separations, and infant hospitalizations and medical procedures, yet the prevalence of parent-infant interaction difficulties remains unclear. Using a standardized observational paradigm, this study investigated mother-infant dyadic synchrony, interactional patterns, and associated predictors in mother-infant pairs affected by CHD, compared with typically-developing pairs. METHODS: In this prospective, longitudinal cohort study, mothers and their infants requiring cardiac surgery before age 6-months (n=110 pairs) and an age- and sex-matched Australian community sample (n=85 pairs) participated in a filmed, free-play interaction at 6.9±1.0 months. Mother-infant dyadic synchrony, maternal and infant interactional patterns, and relational risk were assessed using the Child-Adult Relationship Experimental (CARE) Index. Maternal and infant predictors were assessed at 32 weeks gestation, 3- and 6-months postpartum. RESULTS: Most mother-infant interactions were classified as "high risk" or "inept" (cardiac: 94%, control: 81%; p=.007). Dyadic synchrony (p<.001), maternal sensitivity (p=.001), and infant cooperativeness (p=.001) were lower for cardiac than control pairs. Higher maternal traumatic stress at 6-months postpartum predicted lower dyadic synchrony for mother-infant pairs affected by CHD (B=-.04, p=.03). Dyadic synchrony was higher among older infants in the total (B=.40, p=.003) but not cardiac sample (B=.24, p=.06). CONCLUSIONS: Relational difficulties were almost universal among mother-infant pairs affected by CHD and were also high in the Australian community sample. Widespread education initiatives are recommended to increase awareness of heightened mother-infant relational risk in congenital heart care and well-child settings, alongside relationally-focused prevention and early intervention programs.

Evidence-Based Home Visiting Provisions and Child Maltreatment Report Rates: County-Level Analysis of US National Data From 2016 to 2018.

This observational ecological study examined county-level associations between evidence-based home visiting (EHV) provisions and child maltreatment report (CMR) rates, using national county-level data from 2016-2018. We found that longitudinal changes of EHV provisions were significantly negatively associated with county CMR rates while controlling for potential confounders. Our model estimated that after EHV provisions were launched in counties, their CMR rates decreased (or after they were ceased, rates increased) by 2.21 per 1000 children overall, 2.88 per 1000 children aged 0-5, 2.59 per 1000 children aged 6-11, 2.13 per 1000 male children, and 2.24 per 1000 female children. When limiting attention to EHV provisions funded by the Maternal, Infant and Early Childhood Home Visiting (MIECHV) program, we found no significant association perhaps because MIECHV-funded EHV provisions were a small subset of all EHV provisions. These findings propose potential protective impacts of county EHV provisions on overall county CMR rates. Yet, the small effect sizes suggest that EHV provisions should be considered as a part of a complete response to child maltreatment rather than in isolation. Given that EHV is provided to a very small part of the population, nevertheless, our findings suggest that expanding coverage would increase effect sizes.

Children of parents with depression or anxiety: Long-term follow-up, causality and resilience.

Three papers in the December issue (2023) of JCPP Advances focus on children of parents with depression or anxiety. They highlight the value of using prospective longitudinal data to improve the understanding about the development of children of parents with depression or anxiety from early childhood to young adulthood. They contribute to an advanced understanding of long-term outcomes, causality and resilience for children of parents with depression or anxiety.

Keeping kin close? Geographies of family networks by race and income, 1981-2017.

Objective: This study examined changes in geographic proximity to family members among race and income groups in the United States from 1981 to 2017. Background: Close geographic proximity to family members can facilitate mutual support and strengthen family bonds. Some scholars argue that institutional sources of support have replaced many core family functions, which might mean that households are likely to live increasingly farther away from family. Advancing technology and changing labor market opportunities might reinforce this pattern. Yet, the ongoing cultural and emotional salience of family might curtail the effects of these factors on the increasing distance to family. Method: We conducted a quantitative analysis of longitudinal data from the Panel Study of Income Dynamics (PSID). We utilized the multigenerational structure of the PSID and restricted-use geocodes to map kin proximity at every interview from 1981 to 2017. We cross-classified our sample by race and income, focusing on Black and White respondents across income quartiles (n = 171,501 person-periods). Results: High-income White respondents showed the greatest increases in distance from kin over time, whereas proximity to kin among other race-income groups was relatively stable. Conclusion: Proximate kin has become less central in the lives of high-income White households over time, whereas close proximity to kin has been the norm over time for other racial and income groups. These results have implications for racial and income differences in kin relations over time.

Life course development following childhood adversity: methods and findings from the Christchurch Health and Development Study.

Aim: To review research developments on childhood adversity in the Christchurch Health and Development Study (CHDS) since 2001. Method: Narrative overview of the published work of the CHDS since 2001 in the context of research methods. Results: The CHDS research has continued to evolve as the cohort has aged. A clear focus has remained on the measurement of outcomes associated with psychosocial risk factors over the life course. This focus has allowed the CHDS to examine the linkages between exposure to adversity in childhood and later mental health, psychosocial and occupational outcomes across the life span to middle adulthood. The CHDS has many strengths, including prospective measurement of a broad and deep set of constructs, the use of multiple informants for data, and a range of statistical approaches suited to repeated measures longitudinal data. The CHDS has pioneered new approaches to the study of human development over the lifespan, which has been instrumental in investigating childhood adversity. Conclusion: The CHDS continues to provide unique information from a population cohort that has been studied for more than four decades. Future research will include examination of factors that mitigate the effects of childhood adversity and enhance resilience.

Early life adversity and adolescent sleep problems during the COVID-19 pandemic.

The COVID-19 pandemic resulted in a reorganization of adolescents' routines, especially their sleep schedules. Utilising 175 caregiver-adolescent dyads, the current study examined associations of biological (e.g., prenatal substance use), environmental (e.g., poverty), and relational (e.g., child maltreatment) subtypes of early life adversity (ELA) with various components of adolescents' sleep across the first year of the COVID-19 pandemic. Relational ELA explained unique variance in adolescents' sleep disturbances, but not other sleep components, following short- and longer-term exposure to the COVID-19 pandemic. However, the direction of this association switched such that relational ELA predicted decreased sleep disturbances during the initial phase of the U.S. COVID-19 pandemic in spring 2020 beyond pre-pandemic levels, but, over time, contributed to increased sleep disturbances beyond early-pandemic levels as the pandemic extended into the winter of 2020.