Physical Trajectories Research Articles

Relating depression, anxiety, stress and loneliness to 5-year decline in physical function and frailty

ObjectivesWhile depression has been associated with physical function decline and worsening frailty in older adults, the impact of other mental health symptoms on physical function and frailty is unknown. The study objective was to determine whether depression, perceived stress, loneliness, and anxiety symptoms affect 5-year physical function and frailty trajectories of older adults. MethodsThe National Social Life, Health, and Aging Project (NSHAP) is a nationally-representative study of adults born between 1920 and 1947. The analysis included data collected in 2010–11 and 2015–16. Mental health symptoms were quantified using NSHAP's measures of anxiety (range:0–21), perceived stress (0–8), depression (0–22), and loneliness (0–6); higher scores indicated worse symptoms. We regressed 2015–16 3 m usual walk time, five-repeated chair stand time or an adapted frailty phenotype scale (0–4) separately on each 2010–11 mental health scale, adjusting for baseline physical function or frailty, demographics, and comorbidities. ResultsIn separate models, every one-point increase on the depression or perceived stress scales was associated with, respectively, a 0.06 s slower (95 % CI: 0.03, 0.10) or 0.09 s slower (95 % CI: 0.01, 0.16) 5-year walk time. Every one-point increase on the depression or perceived stress scales was associated with a 0.15 s slower (95 % CI: 0.06, 0.23) or 0.16 s slower (95 % CI: 0.02, 0.29) 5-year chair stand time. Every one-point increase on the depression scale predicted 0.06 higher log odds of having a worse frailty score 5 years later. Only depression's association with 3 m walk time and chair stands remained significant in models including all four mental health scales. DiscussionOlder adults with more depression and to a lesser extent stress symptoms may experience faster physical function decline and worsening frailty. Future work exploring and addressing the mechanisms underlying these relationships are warranted.

Measuring intra-individual physical activity variability using consumer-grade activity devices.

Many existing sedentary behavior and physical activity studies focus on primary outcomes that assess change by comparing participants' activity from baseline to post-intervention. With the widespread availability of consumer-grade devices that track activity daily, researchers do not need to rely on those endpoint measurements alone. Using activity trackers, researchers can collect remote data about the process of behavior change and future maintenance of the change by measuring participants' intra-individual physical activity variability. Measuring intra-individual physical activity variability can enable researchers to create tailored and dynamic interventions that account for different physical activity behavior change trajectories, and by that, improve participants' program adherence, enhance intervention design and management, and advance interventions measurements' reliability. We propose an application of intra-individual physical activity variability as a measurement and provide three use cases within interventions. Intra-individual physical activity variability can be used: prior to the intervention period, where relationships between participants' intra-individual physical activity variability and individual characteristics can be used to predict adherence and subsequently tailor interventions; during the intervention period, to assess progress and subsequently boost interventions; and after the intervention, to obtain a reliable representation of the change in primary outcome.

Trajectories of post-stroke quality of life and long-term prognosis: Results from an eleven-year prospective study

PurposeThe relationship between quality of life (QoL) and long-term prognosis in stroke patients is still unclear. We explored physical and mental QoL trajectories during the first six months after stroke and determined the associations between trajectories and long-term prognosis in patients with first-ever ischemic stroke. MethodsIncluded were 733 participants from a prospective study. QoL was assessed with the 12-item Short Form Survey (SF-12) at baseline, 3 and 6 months. Patients' prognoses (stroke recurrence and death) were identified from 2010 to 2021. The latent class growth model (LCGM) was used to identify distinct trajectories of physical and mental QoL measured over the first 6 months. We employed the Cox model or Fine-Gray model for prognoses to examine the associations between QoL trajectories and prognosis. ResultsFive trajectories of physical QoL and five trajectories of mental QoL were identified. For physical QoL of the Poor-Improved, and Moderate-Impaired trajectory versus Moderate-Improved trajectory, the hazard ratio (HR) for death was 2.39 (1.14 to 5.02), and 2.03(0.93 to 4.44); the HR for recurrence was 1.56 (0.83 to 2.94) and 2.33 (1.28 to 4.24). For mental QoL of the Moderate-Impaired trajectory versus the Moderate-Improved trajectory, the HR for death was 2.48 (1.21 to 5.07). The results were robust in the sensitivity analysis. ConclusionQoL during the first six months after ischemic stroke can be categorized into distinct groups. Change in QoL was associated with long-term survival. Secondary prevention of recurrent strokes might rely more on improving patients' physical QoL.

Trajectories of cognitive processing speed and physical disability over 11 years following initiation of a first multiple sclerosis disease-modulating therapy

BackgroundWe analysed the COMparison Between All immunoTherapies for Multiple Sclerosis (NCT03193866), a Swedish nationwide observational study in relapsing-remitting multiple sclerosis (RRMS), to identify trajectories of processing speed and physical disability...

Consumer Wearables Define a Normative Recovery Trajectory Following the Modified Nuss Procedure

IntroductionThe modified Nuss procedure is an elective procedure associated with a lengthy recovery, uncontrolled pain, and risk of infrequent, yet life-threatening complications. The absence of objective measures of normative postoperative recovery creates uncertainty about the postdischarge period, which remains highly dependent on the patients' and their caregivers’ expectations and management of recovery. We aimed to describe an objective-normative, physical activity recovery trajectory after the modified Nuss procedure, using step counts from the Fitbit. MethodsThis observational study enrolled children ≤18 y with pectus excavatum who underwent the modified Nuss procedure from 2021 to 2022. The Fitbit was worn for 21 postoperative days. Postdischarge outcomes and health-care utilization were evaluated. For patients without postoperative complications, piecewise linear regression analysis was conducted to generate a normative recovery trajectory model of daily step counts. ResultsOf 80 patients enrolled, 66 (86%) met eligibility criteria (mean age, 15.1 ± 1.3 y; 89.4% male, 62.1% non-Hispanic White). The mean number of telephone and electronic message encounters regarding concerns with the patient's recovery within 30 d postoperatively was 2.1 (standard deviation = 2.7). Ten patients (15.2%) returned to the emergency department (ED) within the 30-d postoperative period. Seven patients (10.6%) presented to the ED one time, and three patients (4.5%) presented to the ED twice. Thirty-day readmission rate was four patients (6.0%). Piecewise regression model showed that patients without complications steadily increased their daily step count on each postoperative day and plateaued on day 18. ConclusionsWe have developed a normative recovery trajectory following the modified Nuss procedure using step count data collected by a consumer wearable device. This offers the potential to inform preoperative patient expectations and reduce avoidable health-care utilization through informed preoperative counseling, thus laying the ground work for the use of consumer wearable devices as a postdischarge remote monitoring tool.

Physical well-being recovery trajectories by reconstruction modality in women undergoing mastectomy and breast reconstruction: Significant predictors and health-related quality of life outcomes.

We sought to identify trajectories of patient-reported outcomes, specifically physical well-being of the chest (PWBC), in patients who underwent postmastectomy breast reconstruction, and further assessed its significant predictors, and its relationship with health-related quality of life (HRQOL). We used data collected as part of the Mastectomy Reconstruction Outcomes Consortium study within a 2-year follow-up in 2012-2017, with 1422, 1218,1199, and 1417 repeated measures at assessment timepoints of 0,3,12, and 24 months, respectively. We performed latent class growth analysis (LCGA) in the implant group (IMPG) and autologous group (AUTOG) to identify longitudinal change trajectories, and then assessed its significant predictors, and its relationship with HRQOL by conducting multinomial logistic regression. Of the included 1424 patients, 843 were in IMPG, and 581 were in AUTOG. Both groups experienced reduced PWBC at follow-up. LCGA identified four distinct PWBC trajectories (χ2 = 1019.91, p<0.001): low vs medium high vs medium low vs high baseline PWBC that was restored vs. not-restored after 2 years. In 76.63%(n = 646) of patients in IMPG and 62.99% (n = 366) in AUTOG, PWBC was restored after two years. Patients in IMPG exhibited worse PWBC at 3 months post-surgery than that in AUTOG. Patients with low baseline PWBC that did not improve at 2-year follow up (n = 28, 4.82% for AUTOG) were characterized by radiation following reconstruction and non-white ethnicity. In IMPG, patients with medium low-restored trajectory were more likely to experience improved breast satisfaction, while patients developing high-restored trajectories were less likely to have worsened psychosocial well-being. Although more women in IMPG experienced restored PWBC after 2 years, those in AUTOG exhibited a more favorable postoperative trajectory of change in PWBC. This finding can inform clinical treatment decisions, help manage patient expectations for recovery, and develop rehabilitation interventions contributing to enhancing the postoperative quality of life for breast cancer patients.

Physical and mental functioning trajectory classes among older adults and their association with specialized healthcare use

BackgroundSex-specific physical and mental functioning trajectory classification could offer a way of understanding the differences in healthcare use at older age.MethodsUsing latent growth mixture models, sex-specific physical and mental functioning trajectory classes were formed for 1991 participants (mean age 61.5 years) of the Helsinki Birth Cohort Study. Physical and mental functioning were evaluated with the SF-36 survey conducted in clinical examinations in 2001–2004, 2011–2013, and 2017–2018. First and follow-up outpatient visits, emergency visits, and hospital days were extracted from a national register between the first clinical examination and the year 2017. We used regression models to examine the associations between healthcare use and trajectory classes.ResultsTwo physical and mental functioning trajectory classes, high and intermediate, were observed for both sexes. The intermediate physical functioning trajectory class was associated with higher utilization rates of all examined specialized healthcare services (fully-adjusted IRRs varying 1.36–1.58; 95% CI = 1.03–1.79, 95% CI = 1.21–2.05) compared to the high trajectory class. Relative to the high trajectory class, the intermediate mental trajectory class was associated with the use of first outpatient visits (fully-adjusted IRRs 1.17, 95% CI = 1.03–1.33 for men, and 1.16, 95% CI = 1.04–1.30 for women). The findings were similar among both sexes.ConclusionsCompared to the high trajectory class, the intermediate physical functioning trajectory class was associated with greater specialized healthcare use and the intermediate mental trajectory class with first outpatient visits. Public health interventions should be considered to support functioning with aging.

Trajectories of physical function and quality of life in people with osteoarthritis: results from a 10-year population-based cohort

ObjectiveTo identify long-term trajectories of physical function and health-related quality of life (HRQoL) among people with hip and/or knee osteoarthritis (HKOA) and the sociodemographic, lifestyle, and clinical factors associated with different trajectories.MethodsParticipants with HKOA from the EpiDoC study, a 10-year follow-up (2011–2021) population-based cohort, were considered. Sociodemographic, lifestyle, and clinical variables were collected at baseline in a structured interview and clinical appointment. Physical function and HRQoL were evaluated with the Health Assessment Questionnaire (HAQ) and EuroQoL, respectively, at baseline and the three follow-ups. Group-based trajectory modeling identified physical function and HRQoL trajectories. Multinomial logistic regression analyzed the associations between the covariates of interest and trajectory assignment (p < 0.05).ResultsWe included 983 participants with HKOA. We identified three trajectories for each outcome: “consistently low disability” (32.0%), “slightly worsening moderate disability” (47.0%), and “consistently high disability” (21.0%) for physical function; “consistently high HRQoL” (18.3%), “consistently moderate HRQoL” (48.4%) and “consistently low HRQoL” (33.4%) for HRQoL. Age ≥ 75 years, female sex, multimorbidity, and high baseline clinical severity were associated with higher risk of assignment to poorer physical function and HRQoL trajectories. Participants with high education level and with regular physical activity had a lower risk of assignment to a poor trajectory. Unmanageable pain levels increased the risk of assignment to the “consistently moderate HRQoL” trajectory.ConclusionAlthough the trajectories of physical function and HRQoL remained stable over 10 years, approximately 70% of people with HKOA maintained moderate or low physical function and HRQoL over this period. Modifiable risk factors like physical activity, multimorbidity and clinical severity were associated with poorer physical function and HRQoL trajectories. These risk factors may be considered in tailored healthcare interventions.

Longitudinal Patterns of Postfracture Outpatient Physical Therapy and Occupational Therapy Use and Its Association With 3-Year Mortality Among Adults With Cerebral Palsy.

Fragility fractures are common among adults with cerebral palsy (CP), but clinical rehabilitation use after fracture and its effect on long-term health outcomes have not been sufficiently studied. The objectives of this study were to identify patterns of the use of physical therapy, occupational therapy, or both in the 6-month postfracture period and the association with 3-year mortality in adults with CP. This retrospective cohort study included adults who were ≥18years old, had CP, and had sustained an incident fragility fracture between January 1, 2014, and December 31, 2016, as identified from a random 20% Medicare fee-for-service dataset. Six-month outpatient physical therapy or occupational therapy use patterns after fracture were identified using group-based trajectory modeling. Cox regression determined the association between physical therapy or occupational therapy use trajectory patterns and mortality from 6months to 3years after fracture, adjusting for confounders. Effect modification by key characteristics was tested, including age, sex, and the modified Whitney Comorbidity Index (mWCI), which is a CP-specific comorbidity index that better captures overall medical complexity. Of the 2429 participants included, the majority (73.2%) were characterized as having little to no probability of physical therapy or occupational therapy use, whereas 16.0 and 10.7% were characterized as having early initiation and later initiation, respectively. Compared to the mortality rate for the little to no physical therapy or occupational therapy group, the mortality rates were 26% lower for the early physical therapy or occupational therapy initiation group (hazard ratio [HR] = 0.74; 95% CI = 0.55-1.00) and were 20% lower for the later initiation group (HR = 0.80; 95% CI = 0.57-1.12). There was effect modification by the mWCI. The mortality rate was lower when the early initiation and later initiation groups were compared to the little to no initiation group across all mWCI values examined (median and interquartile range), but the effect was stronger (ie, lower mortality rate) for lower mWCI values for both early initiation and later initiation groups. Most adults with CP underutilize outpatient physical therapy or occupational therapy services within 6months postfracture. Early or later initiation versus little to no physical therapy or occupational therapy use was associated with a lower HR of mortality, although the effect was stronger and statistically significant among those with less medical complexity. Throughout their lives, the use of rehabilitation services in individuals with CP, including physical therapy and occupational therapy, dramatically declines despite the need for continued rehabilitation across their lifespans. This study characterized longitudinal physical therapy or occupational therapy use patterns in the 6months following a fragility fracture among adults with CP and found that nearly 3 in 4 adults with CP had little to no physical therapy or occupational therapy use during this critical window to optimize postfracture health and function. Further, those who more regularly used physical therapy or occupational therapy services, regardless of the timing of initiation (early vs later), had significantly improved survival up to 3years after fracture, suggesting the need for greater access to and delivery of clinical rehabilitation services.

P18-065-23 Life-Course Physical Growth Trajectories From Birth to Two Years of Age and Blood Pressure at Early Adolescence: A Birth Cohort

P18-065-23 Life-Course Physical Growth Trajectories From Birth to Two Years of Age and Blood Pressure at Early Adolescence: A Birth Cohort

Trajectories of physical well-being among adults with acute myeloid leukemia.

e19040 Background: Adults with acute myeloid leukemia (AML) commonly experience physical decline related to their disease and treatment which is associated with negative outcomes. However, physical trajectories differ among patients. Identifying distinct physical trajectories may help guide clinical decision making and supportive care interventions. In this secondary analysis, we examined physical trajectories of patients with AML and factors associated with these trajectories. Methods: We used data from patients with newly diagnosed AML in four clinical trials. Functional Assessment of Cancer Therapy Physical Well-Being sub scale (FACT-PWB, range 0-28) was measured from baseline to day 200, up to 5 timepoints per patient. We used group-based trajectory models (GBTM) weighted for mortality-related drop out to identify groups of patients with similar trajectories of change in FACT-PWB and estimate the association of baseline demographics (age, marital status, education) and clinical factors (AML risk, baseline FACT-PWB, depression, anxiety) with group membership. The number of groups was selected based on clinical interpretability and model fit statistics. Results: We included 343 patients with ≥ 1 FACT-PWB score during up to 200 days of follow-up. Mean age was 65 (SD 12.7), most had intermediate risk AML (178, 52%), received intensive treatment (244, 71%), and died during the follow up period (199, 58%). The GBTM with 4 patterns of change in FACT-PWB showed the best fit for our data (Table). The largest group (Group 2: N = 188, 55%) declined slightly in the first month, then stabilized, while those in the smallest group (Group 1: N = 16, 5%) declined steadily in the first 3 months before improving and stabilizing. Lower baseline FACT-PWB was associated with membership in Group 3: Slight improvement then stable (115, 34%) and Group 4: Steep improvement then stable (24, 7%)), relative to Group 2 (p &lt; .001). Other variables were not associated with group membership. Conclusions: Adults newly diagnosed with AML show distinct patterns of change in their physical well-being after starting treatment. Future studies should measure self-reported and objective physical function in addition to physical well-being in patients with AML, especially with recent change in treatment landscape, to better understand their trajectories. [Table: see text]

Socioeconomic disadvantage and high-effort coping in childhood: evidence of skin-deep resilience.

Low socioeconomic status (SES) is a risk factor for poor outcomes across development. Recent evidence suggests that, although psychosocial resilience among youth living in low-SES households is common, such expressions of resilience may not extend to physical health. Questions remain about when these diverging mental and physical health trajectories emerge. The current study hypothesized that skin-deep resilience - a pattern wherein socioeconomic disadvantage is linked to better mental health but worse physical health for individuals with John Henryism high-effort coping - is already present in childhood. Analyses focus on 165 Black and Latinx children (Mage = 11.5) who were free of chronic disease and able to complete study procedures. Guardians provided information about their SES. Children reported on their John Henryism high-effort coping behaviors. They also provided reports of their depressed and anxious mood, which were combined into a composite of internalizing symptoms. Children's cardiometabolic risk was captured as a composite reflecting high levels of systolic or diastolic blood pressure, waist circumference, HbA1c, triglycerides, and low high-density lipoprotein cholesterol. Among youth who reported using John Henryism high-effort coping, SES risk was unrelated to internalizing symptoms and was positively associated with cardiometabolic risk. In contrast, for youth who did not engage in high-effort coping, SES risk was positively associated with internalizing symptoms and was unrelated to cardiometabolic risk. For youth with high-effort coping tendencies, socioeconomic disadvantage is linked to cardiometabolic risk. Public health efforts to support at-risk youth must consider both mental and physical health consequences associated with striving in challenging contexts.

Trajectories of depressive symptoms among older African Americans: the influence of neighborhood characteristics and gender

Objectives Focusing on older African Americans, this study aims to (1) identify 9-year trajectories of depressive symptoms, (2) examine the association between baseline neighborhood characteristics (i.e., social cohesion and physical disadvantage) and trajectories of depressive symptoms, and (3) test whether the effects of neighborhood characteristics on depressive symptoms trajectories differ by gender. Methods Data came from the National Health and Aging Trend Study. Older African Americans at baseline were selected (N = 1662) and followed up for eight rounds. Depressive symptom trajectories were estimated using group-based trajectory modeling. Weighted multinomial logistic regressions were conducted. Results Three trajectories of depressive symptoms were identified: “persistently low,” “moderate and increasing,” and “high and decreasing” (Objective 1). Objective 2 and 3 were partially supported. Specifically, high perceived neighborhood social cohesion was associated with a lower relative risk of being on the “moderate and increasing” versus the “persistently low” trajectory (RRR = 0.64, p < 0.01). The association between neighborhood physical disadvantage and depressive symptom trajectories was stronger among older African American men compared to women. Conclusions High levels of neighborhood social cohesion may protect against increasing depressive symptoms in older African Americans. Compared to women, older African American men may be more vulnerable to negative mental health effects of neighborhood physical disadvantage.

The physics of decision approach: a physics-based vision to manage supply chain resilience

As instability becomes the norm, supply chain management is becoming increasingly complex and critical. As a result, supply chain managers must adapt to complex situations. Managing instability is a key expectation for these managers. One way to help them to manage this instability is to study resilience. Resilience is related to in the literature as the ability of a system to resist, adapt and recover from disruptions. Measuring and controlling supply chain resilience has therefore become a key issue for managers, especially in a context of instability. In 2013, the World Economic Forum [2013. Global Risks 2013. Davos, Switzerland: World Economic Forum] highlighted in its study, this priority for the surveyed companies to master this concept of resilience. To address this need, this paper presents an innovative approach to disruption and resilience management based on physics principles. It considers disruptions as forces that impact supply chain performance. These forces are created as a result of changes in the internal or external attributes of the supply chain. In this approach, supply chain performance is represented and visualised as a physical trajectory modelled in the framework of its performance indicators. Thus, disturbances are considered as forces that displace and deviate the supply chain's performance trajectory in its performance framework.

Physical fitness trajectories from childhood to adolescence in extremely preterm children: A longitudinal cohort study.

Cohort studies on physical fitness (PF) in former extremely preterm children are scarce and yield conflicting results. Therefore, this study aimed to assess the effect of extremely preterm birth on PF in school-age with a focus on bronchopulmonary dysplasia (BPD). Eighty school-aged children were enrolled in the longitudinal cohort study. Fifty were born extremely preterm (<completed 28 weeks of gestation): 19 had BPD, and 31 did not; 30 term-born healthy children were included as controls. They were monitored annually throughout primary school (ages 7-14 years) with eight annual fitness testings within the Slovenian national surveillance system of children's somatic and motor development (SLOfit). The physical fitness index (PFI), calculated as the mean of percentiles of eightfitness tests, was used as an indicator of overall PF. Generalised estimating equations were used to compare changes in PFI between ages 7 and 14 in the three cohort groups: preterm children with BPD, preterm children without BPD and term controls. Preterm children with BPD had significantly and persistently lower PFI than preterm children without BPD and term-born children throughout primary school age. Their PFI was less than half that of national median values (15.1st-19.7th percentile). Preterm children without BPD experienced progressive improvement in PFI during their school age (from 32.6th to 44.7th percentile of national median PFI values), while the ones with BPD did not. Extreme prematurity per seis not a risk factor for lower PF at school age. However, if complicated by BPD, PF is significantly and sustainably reduced.

The trajectories of physical growth in 4 months postnatal corrected age among preterm infants discharged from neonatal intensive care units and associated factors: A prospective study

ObjectivesGrowth retardation is a risk for premature infants. In addition to demographic and perinatal factors, preterm infants’ physical growth may be affected by neonatal intensive care unit (NICU) stress, maternal postpartum depression, and mother-infant interaction. This study aimed to investigate the trajectories of physical growth in 4 months corrected age among preterm infants discharged from the NICU and the impactors on these trajectories. MethodsA prospective study was conducted among 318 preterm infants from September 2019 to April 2021 in Shanghai, China. Latent growth modeling was applied to identify the weight, length, and head circumference growth trajectories in 4 months corrected age and explore the effects of demographic and medical characteristics, infant stress during NICU stay, maternal postpartum depression, and mother-infant interaction on each trajectory. ResultsUnconditional latent growth models showed curve trajectories with increasingly slower growth in weight, length, and head circumference until 4 months of corrected age. Conditional latent growth models showed that a longer length of stay in the NICU and more skin punctures were negatively associated with weight at 40 weeks corrected gestational age (β = −0.43 and −0.19, respectively, P < 0.05). The maternal postpartum depression between 40 weeks corrected gestational age and 1 month corrected postnatal age was associated with a lower growth rate of length (β = −0.17, P = 0.040), while between 2 and 3 months corrected postnatal age, there were lower growth rates of weight and head circumference (β = −0.15 and −0.19, respectively, P < 0.05). The mother-infant interaction scores between 40 weeks corrected gestational age and 1 month corrected postnatal age negatively predicted the growth rate of weight (β = −0.19, P = 0.020). ConclusionThe physical growth trajectories of preterm infants discharged from the NICU were influenced by infant stress during the NICU stay, maternal postpartum depression and mother-infant interaction.

Using Wearable Technology to Quantify Physical Activity Recovery: Secondary Report From the AFTER (App-Facilitated Tele-Rehabilitation) Program for COVID-19 Survivors Randomized Study.

Knowledge on physical activity recovery after COVID-19 survival is limited. The AFTER (App-Facilitated Tele-Rehabilitation) program for COVID-19 survivors randomized participants, following hospital discharge, to either education and unstructured physical activity or a telerehabilitation program. Step count data were collected as a secondary outcome, and we found no significant differences in total step count trajectories between groups at 6 weeks. Further step count data were not analyzed. The purpose of this analysis was to examine step count trajectories and correlates among all participants (combined into a single group) across the 12-week study period. Linear mixed models with random effects were used to model daily steps over the number of study days. Models with 0, 1, and 2 inflection points were considered, and the final model was selected based on the highest log-likelihood value. Participants included 44 adults (41 with available Fitbit [Fitbit LLC] data). Initially, step counts increased by an average of 930 (95% CI 547-1312; P<.001) steps per week, culminating in an average daily step count of 7658 (95% CI 6257-9059; P<.001) at the end of week 3. During the remaining 9 weeks of the study, weekly step counts increased by an average of 67 (95% CI -30 to 163; P<.001) steps per week, resulting in a final estimate of 8258 (95% CI 6933-9584; P<.001) steps. Participants showed a marked improvement in daily step counts during the first 3 weeks of the study, followed by more gradual improvement in the remaining 9 weeks. Physical activity data and step count recovery trajectories may be considered surrogates for physiological recovery, although further research is needed to examine this relationship. ClinicalTrials.gov NCT04663945; https://tinyurl.com/2p969ced.

Does sleep correlate with neurodevelopmental outcomes in preterm and term infants in early-preschool children?

Does sleep correlate with neurodevelopmental outcomes in preterm and term infants in early-preschool children?

Vulnerability and recovery: Long-term mental and physical health trajectories following climate-related disasters

Extreme weather and climate-related disaster events are associated with a range of adverse health outcomes. People are not equally vulnerable to the adversity, experiencing varied patterns of long-term health trajectories in recovery depending on their vulnerabilities, capacities, and resiliencies. This study aims to identify latent mental and physical health trajectories and their associations with person- and place-based pre-disaster predictors. Using an Australian, population-based, longitudinal dataset spanning 2009–19, group-based multi-trajectory modelling was applied to identify the distinct mental, social, emotional, and physical health trajectories of people who had experienced damage to their home following a climate-related disaster event. Multinomial logistic regression was used to assess a series of social vulnerability predictors (demographic, socioeconomic, housing, health, neighbourhood, and geographical) of health patterns. We identified three distinct health trajectories. Most individuals experienced small or minimal health impacts at the time of the disaster year followed by a fast recovery. However, one-fifth of the exposed population were severely affected during and post disaster. This cohort had the worst mental and physical health prior to the disaster and experienced the largest decreases in mental and physical health and the lowest recoveries. Pre-existing mental and physical conditions were the most substantial risk factors, increasing the probability of experiencing high impact and slow recovery by 61% for mental health and 51% for physical health. In addition, vulnerability in the form of housing affordability stress, lower household income, and lack of community attachment, participation and safety were also significant independent risk factors for ongoing post-disaster health problems. Critically, people's mental and physical health recovery is dependent on pre-disaster vulnerabilities in health, resource access, and capacities. These findings could assist policymakers and health practitioners to more effectively target people most at risk and design prevention and response strategies to prevent the exacerbation of poor health and wellbeing.

Physical Health in Clinical High Risk for Psychosis Individuals: A Cross-Sectional Study.

The clinical high risk for psychosis (CHR-P) phase represents an opportunity for prevention and early intervention in young adults, which also could focus on improving physical health trajectories. We conducted a RECORD-compliant clinical register-based cohort study. The primary outcome was to describe the physical health of assessed CHR-P individuals, obtained via Electronic Health Records at the South London and Maudsley (SLaM) NHS Foundation Trust, UK (January 2013-October 2020). The final database included 194 CHR-P subjects (46% female). Mean age was 23.70 ± 5.12 years. Percentage of tobacco smokers was 41% (significantly higher than in the age-matched general population [24%]). We found that 49% of subjects who consumed alcohol had an AUDIT-C (Alcohol Use Disorder Identification Test) score above 5 (hazardous drinking), with an average score of 4.94 (significantly higher than in the general population [2.75]). Investigating diet revealed low fiber intake in most subjects and high saturated fat intake in 10% of the individuals. We found that 47% of CHR-P subjects met the UK recommended physical activity guidelines (significantly lower than in the general population [66%]). Physical parameters (e.g., weight, heart rate, blood pressure) were not significantly different from the general population. This evidence corroborates the need for monitoring physical health parameters in CHR-P subjects, to implement tailored interventions that target daily habits.