Late Middle-aged Adults Research Articles

Longitudinal association between social participation and trajectories of life satisfaction in late middle-aged Korean adults with physical disabilities

Late middle-aged adults (50–64 years of age) who have physical disabilities often experience a decline in life satisfaction due to those bodily limitations. It is crucial to understand how their life satisfaction can be enhanced to support the social participation, health and wellbeing of this age group. This study examined the association between social participation and life satisfaction over time in Korean adults 50–64 years of age with physical disabilities. Data on 545 adults with physical disabilities aged 50–64 years from the 2016–2021 Korea Panel Survey of Employment for the Disabled (PSED) were extracted. The dependent variable was self-reported life satisfaction while social participation was the time-varying independent variable which was measured with a single question. The latent growth model (LGM) was used to examine the association between social participation and life satisfaction at each time point. The sample was composed of 313 (57.43 per cent) males and 232 (42.57 per cent) females from Korea having an average age of 57.42 years. A piecewise LGM demonstrated good model fit. Social participation was positively associated with life satisfaction at each time point for over the course of six years, with standardised coefficients ranging from 0.154 to 0.275 (p<0.001). Social participation contributed significantly to life satisfaction in Korean adults 50–64 years of age with physical disabilities. The findings indicate the need for social participation that could improve the life satisfaction of those with physical disabilities.

Amyloid-β positivity is less prevalent in cognitively unimpaired KLOTHO KL-VS heterozygotes.

Klotho, encoded by the KLOTHO gene, is an anti-aging and neuroprotective protein. KLOTHO KL-VS heterozygosity (KL-VSHET) is hypothesized to be protective against the accumulation of Alzheimer's disease (AD) neuropathological hallmarks (amyloid-β (Aβ) and tau). We examine whether being positive for Aβ (A+) or tau (T+), or A/T joint status [positive for Aβ (A + T-), tau (A-T+), both (A + T+) or neither (A-T-)] vary by KL-VS and whether serum klotho protein levels vary based on A+, T+, or A/T status in a cohort enriched for AD risk. The sample consisted of 704 cognitively unimpaired, late middle-aged, and older adults; MeanAge(SD) = 64.9(8.3). Serum klotho was available for a sub-sample of 396 participants; MeanAge(SD) = 66.8(7.4). Covariate-adjusted logistic regression examined whether A + or T+, and multinomial regression examined whether A/T status, vary by KL-VS genotype. Covariate-adjusted linear regression examined whether serum klotho levels differ based on A+, T+, or A/T status. A+ prevalence was lower in KL-VSHET (p = 0.05), with no differences in T + prevalence (p = 0.52). KL-VSHET also had marginally lower odds of being A + T- (p = 0.07). Serum klotho levels did not differ based on A+, T+, or A/T status (all ps ≥ 0.40). KL-VSHET is associated with lower odds of being positive for Aβ, regardless of whether one is also positive for tau. Conversely, the likelihood of being tau positive did not differ based on KL-VS genotype. Our findings add to the growing KLOTHO literature and suggests the need for further research focused on understanding the mechanisms underlying KL-VS-related putative resilience to AD.

Use of the Brief-BESTest partially instrumented with accelerometry to detect balance deterioration in middle-age

BackgroundMost standardized balance tests cannot detect subtle balance deterioration in middle age, or identify those at higher risk for accelerated balance decline due to a ceiling effect.AimsTo determine whether the Brief Balance Evaluation Systems Test (Brief-BESTest), partially instrumented with accelerometry, can detect balance deterioration in middle age and identify individuals with poor balance.MethodsWe studied young (25.3 ± 2.3 years), early middle-aged (47.7 ± 2.6 years), and late middle-aged adults (60.6 ± 3.6 years), with 25 participants in each age group. Subjects wore an accelerometer on their lower back while performing the Brief-BESTest. Balance measurements included the Brief-BESTest total and sub-measures scores, and postural sway during the Brief-BESTest standing tasks, calculated by the 95% confidence ellipse trajectory of the center of mass (COM-95% ellipse).ResultsCompared to the two middle-aged groups, young adults had better total Brief-BESTest and sub-measures scores, apart from the Stability-in-Gait sub-measure, and less postural sway during the Sensory-Orientation sub-measure. The total Brief-BESTest scores as well as the Biomechanical-Constraints and Sensory-Orientation sub-measures differed also between early and late middle-aged adults. Both the Brief-BESTest total scores and the Sensory-Orientation postural sway values demonstrated increased variation with age, allowing to identify subjects with poor balance. A moderate negative correlation (r = -0.43) was found between the Brief-BESTest total score and the COM-95% ellipse size, and a moderate agreement (k = 0.56) in identifying subjects with poor performance in the early but not the late middle age group.ConclusionsThe Brief-BESTest test combined with accelerometry could be a suitable screening tool to identify middle-aged people with early balance deterioration and potentially identify those with poor balance and a possible higher risk for falls. Clinicians and policymakers can use our findings to implement balance assessment programs in patients < 65 years, leading to preventive strategies before the risk increases.

Impact of Risk Factors for Dementia on Health-Related Quality of Life in Late Middle-Aged Adults

Impact of Risk Factors for Dementia on Health-Related Quality of Life in Late Middle-Aged Adults

The mediating and moderating effects of psychological distress on the relationship between social media use with perceived social isolation and sleep quality of late middle-aged and older adults

ObjectivesOlder adults are more likely to have poor sleep quality and be socially isolated. The present study examined the potential benefits and disadvantages of social media use (SMU) with respect to sleep quality and perceived social isolation among Iranian late-middle-aged and older adults with focus a on both the mediating and moderating role of psychological distress.MethodsA population-based cross-sectional study was conducted among 900 older community-dwellers living in Shiraz using a structured questionnaire. Social media use was assessed by estimating the frequency of social networking site visits per week. Data concerning self-rated physical health, chronic medical and mental health conditions, perceived social isolation, sleep quality, and psychological distress were also collected. Multiple linear regression was used to identify independent variables associated with outcomes. Then, mediation and moderation models were used to examine the potential mediating and moderating effects of psychological distress and SMU on their relationships with the study variables.ResultsHigher social media use was associated with better sleep quality and less perceived social isolation. Nevertheless, the relationships between SMU and participants’ sleep quality and perceived social isolation were largely mediated by their level of psychological distress. Furthermore, SMU had a significant moderating effect in the relationship between the psychological distress and the levels of perceived social isolation, so that participants with higher frequency of SMU per week felt less loneliness.ConclusionsThe study findings suggest that SMU has a positive buffering effect regarding late middle-aged and older adults’ mental health mainly through moderation of their perceived social isolation. The mediating role of psychological distress in research examining the relationship between SMU and older adults’ mental health outcomes should be considered in future research.

Projections of functional dependence among the late middle-aged and older population from 2018-2048 in China: a dynamic microsimulation

BackgroundThe population of China is aging rapidly. However, the long-term trajectories of functionally dependent late middle-aged and older Chinese people are currently absent. The present study aimed to estimate the population size and proportion of late middle-aged and older adults with difficulties and dependence on activities of daily living (ADL) and instrumental activities of daily living (IADL) in China from 2018 to 2048.MethodsWe constructed a dynamic microsimulation model to project the population size and proportions of late middle-aged and older Chinese people who have difficulty and dependence in ADL and IADL from 2018-2048. The model was populated with a representative sample of the target population and allowed individual-level interaction between risk factors, diseases, and health outcomes. Analyses by socioeconomic subgroups were also conducted.ResultsAlmost 25% and 38% of late middle-aged and older people in China will become ADL- and IADL-dependent by 2048, respectively. Also, 17% of the target population will be severely ADL-disabled by 2048. The inequity in functional status across subgroups by sex, educational level, and urban/rural residency will become substantial.ConclusionsThe numbers and percentages of China's functionally difficult and dependent late middle-aged and older population will increase by magnitudes as of the mid-21st century, the pressure of which is compounded by its disproportionate distribution across subgroups. To alleviate the overwhelming challenge, efforts to improve the functional status of the underserved subpopulation should also be iterated.

Depression, Vascular Burden, and Dementia Prevalence in Late Middle-Aged and Older Black Adults.

Late-life depression and white matter hyperintensities (WMH) have been linked to increased dementia risk. However, there is a dearth of literature examining these relationships in Black adults. We investigated whether depression or WMH volume are associated with a higher likelihood of dementia diagnosis in a sample of late middle-aged to older Black adults, and whether dementia prevalence is highest in individuals with both depression and higher WMH volume. Secondary data analysis involved 443 Black participants aged 55+ with brain imaging within 1 year of baseline visit in the National Alzheimer's Coordinating Center Uniform Data Set. Chi-square analyses and logistic regression models controlling for demographic variables examined whether active depression in the past 2 years, WMH volume, or their combination were associated with higher odds of all-cause dementia. Depression and higher WMH volume were associated with a higher prevalence of dementia. These associations remained after controlling for demographic factors, as well as vascular disease burden. Dementia risk was highest in the depression/high WMH volume group compared to the depression-only group, high WMH volume-only group, and the no depression/low WMH volume group. Post hoc analyses comparing the Black sample to a demographically matched non-Hispanic White sample showed associations of depression and the combination of depression and higher WMH burden with dementia were greater in Black compared to non-Hispanic White individuals. Results suggest late-life depression and WMH have independent and joint relationships with dementia and that Black individuals may be particularly at risk due to these factors.

Obstructive sleep apnea severity is associated with longitudinal cholinergic basal forebrain volume changes in late middle-aged and older adults

Obstructive sleep apnea severity is associated with longitudinal cholinergic basal forebrain volume changes in late middle-aged and older adults

Age-related positivity effect in emotional memory consolidation from middle age to late adulthood.

While younger adults are more likely to attend to, process, and remember negative relative to positive information, healthy older adults show the opposite pattern. The current study evaluates when, exactly, this positivity shift begins, and how it influences memory performance for positive, negative, and neutral information. A total of 274 healthy early middle-aged (35-47), late middle-aged (48-59), and older adults (>59) viewed scenes consisting of a negative, positive, or a neutral object placed on a plausible neutral background, and rated each scene for its valence and arousal. After 12 h spanning a night of sleep (n = 137) or a day of wakefulness (n = 137), participants completed an unexpected memory test during which they were shown objects and backgrounds separately and indicated whether the scene component was the "same," "similar," or "new" to what they viewed during the study session. We found that both late middle-aged and older adults rated positive and neutral scenes more positively compared to early middle-aged adults. However, only older adults showed better memory for positive objects relative to negative objects, and a greater positive memory trade-off magnitude (i.e., remembering positive objects at the cost of their associated neutral backgrounds) than negative memory trade-off magnitude (i.e., remembering negative objects at the cost of their associated neutral backgrounds). Our findings suggest that while the positivity bias may not emerge in memory until older adulthood, a shift toward positivity in terms of processing may begin in middle age.

Effects of volume-matched acute exercise on metacognition in late middle-aged adults: The roles of exercise intensity and duration.

Increasing studies have observed the benefit of acute exercise on core executive functions (EFs). However, the effects of high-order EFs (i.e., metacognition) are poorly investigated. Additionally, the beneficial effect varies depending on exercise-related variables (e.g., intensity, duration). Exercise volume, represented by exercise intensity and duration, is one approach to examine the relationship between acute exercise and metacognition. Therefore, this study aims to investigate the effects of acute exercise, involving three volume-matched evaluations, on metacognition in late middle-aged adults. It recruited 40 community-dwelling late middle-aged adults (22 females; Mage=61.05±4.17years). Its counterbalanced and repeated-measure experimental design included a control reading session and three exercise sessions: (1) acute moderate-intensity exercise for 30min, (2) higher-intensity exercise for 16min, and (3) lower-intensity exercise for 40min. After each session, all participants were asked to perform the Tower of London (TOL) task to assess their metacognition related to planning and problem-solving. This study showed that regardless of exercise intensity and duration variation, acute exercise led to higher move-related (i.e., total correct and move scores) and time-related (i.e., total executive and problem-solving times) scores but did not affect total initial time and violation-related scores compared to reading treatment. These findings suggest enhanced performance in metacognition after acute exercise regardless of its intensity and duration variation.

Young adults’ experiences of ageism in the United Kingdom: Forms, sources, and associations with intergenerational attitudes

Although previous research suggests that a large proportion of young adults experience ageism, information is scarce regarding exactly how often they encounter different forms of age-based discrimination. To address this lacuna, we recruited young adults from the U.K. to complete four weekly surveys in which they reported the number of days during the preceding week on which they experienced various forms of ageism. More than three-quarters of our respondents experienced some form of ageism at least once during the reporting period, and more than one-quarter of respondents experienced ageism (on average) at least once per week during the reporting period. The most oft-encountered forms of ageism encountered by young adults involved being shown a lack of respect/being patronized and having other people make assumptions about their cognitive or social characteristics. Most commonly, the perpetrators of ageism were middle-aged and later middle-aged persons (rather than older people) encountered in the course of employment. The number of days on which young adults experienced ageism was inversely correlated with the degree to which they believed middle-aged and later-middle aged adults held positive stereotypes of young adults, and positively predicted the desire to avoid interaction with middle-aged, late middle-aged, and older adults.

Anaesthesia-related cognitive dysfunction following cardiothoracic surgery in late middle-age and younger adults: A scoping review.

The incidence of postoperative cognitive dysfunction (POCD) is notably high after cardiac surgery, ranging from 25% to 30%, and is associated with a lower quality of life, increased patient dependency, and heightened mortality. Anaesthesia during cardiothoracic surgery significantly contributes to the risk of POCD in older adults by adversely affecting the brain, including reductions in blood flow and oxygen levels. This review aimed to evaluate factors associated with anaesthesia-related postoperative cognitive dysfunction (POCD) among adults younger than 65 years who underwent cardiothoracic surgeries. A systematic keyword search, following the scoping review framework, was performed in the PubMed and CINAHL databases. Original English-language studies that included adults younger than 65 years and addressed cognitive function after surgery along with anaesthesia management were included. Retrospective studies, animal research and in vitro and in vivo studies were excluded. Twenty-three articles were included (65.2% interventional studies). All studies lacked theoretical or conceptual frameworks. Ketamine's neuroprotective potential is questionable, and intravenous lidocaine may be considered a possible early agent for preventing POCD, but long-term effectiveness is uncertain. Compared to inhalational anaesthesia, total intravenous anaesthesia (TIVA) may be related to a decreased incidence of POCD. Variation in POCD assessment impacted the lack of homogeneity in obtained data. Moreover, the shorter-term timing of POCD evaluation such as in early days after surgery could be greatly influenced by medication and delirium. Although strategies such as TIVA, the use of neuroprotective anaesthetics and comprehensive preoperative assessments are suggested to prevent POCD, this multifactorial phenomenon cannot be explicitly attributed solely to anaesthetics or anaesthesia-related techniques. Use of standardized, reliable and valid tools for POCD assessment is encouraged for cross-study comparison. Nurses and certified nurse anaesthetists must be aware of risk factors for postoperative delirium and POCD so they can assess patients before and after surgery. Patients and caregivers need to be educated about cognitive changes after surgery and advised to report them to their health care provider if they occur.

Harnessing cognitive trajectory clusterings to examine subclinical decline risk factors.

Cognitive decline in Alzheimer's disease and other dementias typically begins long before clinical impairment. Identifying people experiencing subclinical decline may facilitate earlier intervention. This study developed cognitive trajectory clusters using longitudinally based random slope and change point parameter estimates from a Preclinical Alzheimer's disease Cognitive Composite and examined how baseline and most recently available clinical/health-related characteristics, cognitive statuses and biomarkers for Alzheimer's disease and vascular disease varied across these cognitive clusters. Data were drawn from the Wisconsin Registry for Alzheimer's Prevention, a longitudinal cohort study of adults from late midlife, enriched for a parental history of Alzheimer's disease and without dementia at baseline. Participants who were cognitively unimpaired at the baseline visit with ≥3 cognitive visits were included in trajectory modelling (n = 1068). The following biomarker data were available for subsets: positron emission tomography amyloid (amyloid: n = 367; [11C]Pittsburgh compound B (PiB): global PiB distribution volume ratio); positron emission tomography tau (tau: n = 321; [18F]MK-6240: primary regions of interest meta-temporal composite); MRI neurodegeneration (neurodegeneration: n = 581; hippocampal volume and global brain atrophy); T2 fluid-attenuated inversion recovery MRI white matter ischaemic lesion volumes (vascular: white matter hyperintensities; n = 419); and plasma pTau217 (n = 165). Posterior median estimate person-level change points, slopes' pre- and post-change point and estimated outcome (intercepts) at change point for cognitive composite were extracted from Bayesian Bent-Line Regression modelling and used to characterize cognitive trajectory groups (K-means clustering). A common method was used to identify amyloid/tau/neurodegeneration/vascular biomarker thresholds. We compared demographics, last visit cognitive status, health-related factors and amyloid/tau/neurodegeneration/vascular biomarkers across the cognitive groups using ANOVA, Kruskal-Wallis, χ2, and Fisher's exact tests. Mean (standard deviation) baseline and last cognitive assessment ages were 58.4 (6.4) and 66.6 (6.6) years, respectively. Cluster analysis identified three cognitive trajectory groups representing steep, n = 77 (7.2%); intermediate, n = 446 (41.8%); and minimal, n = 545 (51.0%) cognitive decline. The steep decline group was older, had more females, APOE e4 carriers and mild cognitive impairment/dementia at last visit; it also showed worse self-reported general health-related and vascular risk factors and higher amyloid, tau, neurodegeneration and white matter hyperintensity positive proportions at last visit. Subtle cognitive decline was consistently evident in the steep decline group and was associated with generally worse health. In addition, cognitive trajectory groups differed on aetiology-informative biomarkers and risk factors, suggesting an intimate link between preclinical cognitive patterns and amyloid/tau/neurodegeneration/vascular biomarker differences in late middle-aged adults. The result explains some of the heterogeneity in cognitive performance within cognitively unimpaired late middle-aged adults.

90 Feasibility of Repeated Remote Memory Assessment with Mobile Devices to Detect Subtle Cognitive Decline in Older Adults

Objective:Frequent and remote cognitive assessment may improve sensitivity to subtle cognitive decline associated with preclinical Alzheimer’s disease (AD). The objective of this study was to evaluate the feasibility and acceptability of repeated remote memory assessment in late middle-aged and older adults.Participants and Methods:We recruited participants from a longitudinal aging cohort to complete three medial temporal lobe-based memory paradigms (Object-In-Room Recall [ORR], Mnemonic Discrimination for Objects and Scenes [MDT-OS], Complex Scene Recognition [CSR]) using the neotiv application at repeated intervals over one year. We conducted initial telephone calls to perform screening, consent, and download instructions. Participants were assigned 24 remote sessions on a smartphone or tablet and were alerted via push notification when an assignment was ready to complete. Participants were randomly assigned to: (1) complete memory tests every other week or (2) complete memory tests for multiple days within one week every other month. Each remote session lasts approximately 10 minutes and includes one memory paradigm and brief usability/acceptability questionnaires followed by a delayed retrieval session 90 minutes later. Feasibility metrics examined included participation, retention, compliance, and usability/acceptability.Results:Of 150 participants recruited, 113 consented and were enrolled into the study (participation rate = 75%). Current retention rate is 75%, with 85/113 currently active (n=73) or completed (n=12). Of the 85 active or completed participants, the mean age is 68.7 (range = 4882), 64% are women, 70% used a smartphone (30% tablet), 84 are cognitively unimpaired and 1 has mild cognitive impairment. The primary threat to retention was participants consenting into the study but never registering in the app or completing their first scheduled assignment. After enrollment, 130 telephone calls were made by study staff to facilitate registration into the app or to remind participants to complete tasks. 74-80% of participants completed delayed retrieval tasks within 30 minutes of push notification, but average retrieval time was 125137 minutes post-learning trials. Regarding acceptability/usability, 94% agreed the application was easy to use, 56% enjoyed completing the mobile memory tests (36% felt neutral), 40% prefer remote mobile memory tests to standard in-person paper and pencil tests, and 50% understood the test instructions. 87% felt the frequency of tests assigned was “just right” (13% “too often”) and 90% felt the test length was “just right” (7% too short, 3% too long). Participants who completed all 24 sessions to date (n=12) all endorsed being “satisfied” or “very satisfied” with the platform and visit schedule, as well as recommended continued use of this type of cognitive testing.Conclusions:Remote memory assessment using smartphones and tablets is feasible and acceptable for cognitively unimpaired late middle-aged and older adults. Follow-up by study staff was needed to ensure adequate retention. Comprehension of instructions and compliance with completing delayed retrieval tasks within the expected timeframe was lower than expected. These feedback will be incorporated into an updated version of the app to improve compliance and retention. Longitudinal data collection is ongoing and results will be updated with a larger sample. Results will be compared across frequency schedule groups.

Altered resting-state functional connectivity patterns in late middle-aged and older adults with obstructive sleep apnea.

Obstructive sleep apnea (OSA) is increasingly recognized as a risk factor for cognitive decline, and has been associated with structural brain alterations in regions relevant to memory processes and Alzheimer's disease. However, it is unclear whether OSA is associated with disrupted functional connectivity (FC) patterns between these regions in late middle-aged and older populations. Thus, we characterized the associations between OSA severity and resting-state FC between the default mode network (DMN) and medial temporal lobe (MTL) regions. Second, we explored whether significant FC changes differed depending on cognitive status and were associated with cognitive performance. Ninety-four participants [24 women, 65.7 ± 6.9 years old, 41% with Mild Cognitive Impairment (MCI)] underwent a polysomnography, a comprehensive neuropsychological assessment and a resting-state functional magnetic resonance imaging (MRI). General linear models were conducted between OSA severity markers (i.e., the apnea-hypopnea, oxygen desaturation and microarousal indices) and FC values between DMN and MTL regions using CONN toolbox. Partial correlations were then performed between OSA-related FC patterns and (i) OSA severity markers in subgroups stratified by cognitive status (i.e., cognitively unimpaired versus MCI) and (ii) cognitive scores in the whole sample. All analyzes were controlled for age, sex and education, and considered significant at a p < 0.05 threshold corrected for false discovery rate. In the whole sample, a higher apnea-hypopnea index was significantly associated with lower FC between (i) the medial prefrontal cortex and bilateral hippocampi, and (ii) the left hippocampus and both the posterior cingulate cortex and precuneus. FC patterns were not associated with the oxygen desaturation index, or micro-arousal index. When stratifying the sample according to cognitive status, all associations remained significant in cognitively unimpaired individuals but not in the MCI group. No significant associations were observed between cognition and OSA severity or OSA-related FC patterns. OSA severity was associated with patterns of lower FC in regions relevant to memory processes and Alzheimer's disease. Since no associations were found with cognitive performance, these FC changes could precede detectable cognitive deficits. Whether these FC patterns predict future cognitive decline over the long-term needs to be investigated.

Risk stratification models for predicting preventable hospitalization in commercially insured late middle-aged adults with depression

BackgroundA significant number of late middle-aged adults with depression have a high illness burden resulting from chronic conditions which put them at high risk of hospitalization. Many late middle-aged adults are covered by commercial health insurance, but such insurance claims have not been used to identify the risk of hospitalization in individuals with depression. In the present study, we developed and validated a non-proprietary model to identify late middle-aged adults with depression at risk for hospitalization, using machine learning methods.MethodsThis retrospective cohort study involved 71,682 commercially insured older adults aged 55–64 years diagnosed with depression. National health insurance claims were used to capture demographics, health care utilization, and health status during the base year. Health status was captured using 70 chronic health conditions, and 46 mental health conditions. The outcomes were 1- and 2-year preventable hospitalization. For each of our two outcomes, we evaluated seven modelling approaches: four prediction models utilized logistic regression with different combinations of predictors to evaluate the relative contribution of each group of variables, and three prediction models utilized machine learning approaches - logistic regression with LASSO penalty, random forests (RF), and gradient boosting machine (GBM).ResultsOur predictive model for 1-year hospitalization achieved an AUC of 0.803, with a sensitivity of 72% and a specificity of 76% under the optimum threshold of 0.463, and our predictive model for 2-year hospitalization achieved an AUC of 0.793, with a sensitivity of 76% and a specificity of 71% under the optimum threshold of 0.452. For predicting both 1-year and 2-year risk of preventable hospitalization, our best performing models utilized the machine learning approach of logistic regression with LASSO penalty which outperformed more black-box machine learning models like RF and GBM.ConclusionsOur study demonstrates the feasibility of identifying depressed middle-aged adults at higher risk of future hospitalization due to burden of chronic illnesses using basic demographic information and diagnosis codes recorded in health insurance claims. Identifying this population may assist health care planners in developing effective screening strategies and management approaches and in efficient allocation of public healthcare resources as this population transitions to publicly funded healthcare programs, e.g., Medicare in the US.

The Risk of Type 2 Diabetes Mellitus according to Changes in Obesity Status in Late Middle-Aged Adults: A Nationwide Cohort Study of Korea.

Although obesity is a well-known risk factor of type 2 diabetes mellitus (T2DM), there is scant data on discriminating the contribution of previous obesity and recent weight gain on developing T2DM. We analyzed the Korean National Health Insurance Service-Health Screening Cohort data from 2002 to 2015 where Korean residents underwent biennial health checkups. Participants were classified into four groups according to their obesity status (body mass index [BMI] ≥25 kg/m2) before and after turning 50 years old: maintaining normal (MN), becoming obese (BO), becoming normal (BN), and maintaining obese (MO). Cox proportional hazards regression model was used to estimate the risk of T2DM factoring in the covariates age, sex, BMI, presence of impaired fasting glucose or hypertension, family history of diabetes, and smoking status. A total of 118,438 participants (mean age, 52.5±1.1 years; men, 45.2%) were prospectively evaluated for incident T2DM. A total of 7,339 (6.2%) participants were diagnosed with T2DM during a follow-up period of 4.8±2.6 years. Incidence rates of T2DM per 1,000 person-year were 9.20 in MN, 14.81 in BO, 14.42 in BN, 21.38 in MO. After factoring in covariates, participants in the groups BN (adjusted hazard ratio [aHR], 1.15; 95% confidence interval [CI], 1.04 to 1.27) and MO (aHR, 1.14; 95% CI, 1.06 to 1.24) were at increased risk of developing T2DM compared to MN, whereas BO (hazard ratio, 1.06; 95% CI, 0.96 to 1.17) was not. Having been obese before 50 years old increased the risk of developing T2DM in the future, but becoming obese after 50 did not. Therefore, it is important to maintain normal weight from early adulthood to prevent future metabolic perturbations.

Stressful Life Events and Patterns of Polysubstance Use Among U.S. Late Middle-Aged and Older Adults: A Latent Class Analysis.

The goals of this study were to identify patterns of polysubstance use and their associations with stressful life events among U.S. late middle-aged and older adults and examine whether gender moderates these associations. Adults aged 50 and older (N = 14,738) from the National Epidemiological Survey on Alcohol and Related Conditions-III were included. Latent class analysis was conducted to identify patterns of polysubstance use. Weighted multinomial logistic regression was estimated with a generalized structural equation model. Three different polysubstance use patterns (non-users/low substance users; cannabis and excessive alcohol users; painkiller and sedative/tranquilizer misusers) were identified. Higher levels of stressful life events were associated with patterns of polysubstance use. Gender moderated the association between stressful life events and co-misusing painkillers and sedatives/tranquilizers (p < 0.05). Substance use prevention efforts should consider aging adults' patterns of polysubstance use and associated stressful life events when designing and implementing gender-specific polysubstance use prevention interventions.

Adults' Visual Cue Preferences and Wayfinding Abilities in Healthcare Centers.

Physical and visual elements that help people find their way around an environment are called visual cues (VCs). The current study aims to evaluate adults' wayfinding abilities (navigation, orientation, spatial anxiety, and distance estimation) and VC (navigational color coding) preferences in terms of color and position; additionally, investigates their differences in adults' life span phases (young adults, early middle-aged adults, and late middle-aged adults). Wayfinding in complex environments such as healthcare centers has been challenging for most people. Although VCs are being used increasingly to facilitate wayfinding, considering people's preferences regarding VCs, especially navigational color coding, are neglected. Obtained data from a survey of 375 healthcare center visitors with textual and photo questionnaires were analyzed by descriptive statics and one-way analysis of variance. Young adults preferred VCs with "mixed colors and positioned in the middle of the floor," early middle-aged adults preferred "warm color VCs in the middle of the wall," and late middle-aged adults preferred "warm color VCs at the bottom of the wall." Additionally, the results demonstrated that with aging, navigation and distance estimation abilities deteriorate, and spatial anxiety increases. The outcomes of the present study increase our knowledge regarding the impact of adults' life span phases on their wayfinding abilities and VC preferences and offer suggestions for architects and healthcare center stakeholders to provide environments that improve adults' wayfinding.

Stressor appraisals among adults in late middle age and late adulthood in the United States: Applying the intersectionality framework.

Stressor appraisals among adults in late middle age and late adulthood in the United States: Applying the intersectionality framework.