Age Patterns Research Articles

Analysis of allergen positivity rates in relation to gender, age, and cross-reactivity patterns

Analysis of allergen positivity rates in relation to gender, age, and cross-reactivity patterns

No evidence of early life resource pulse effects on age‐specific variation in survival, reproduction and body mass of female Siberian flying squirrels

Abstract Understanding the diversity and causes of senescence patterns in the wild remains a challenging task, in particular among fast‐living species for which senescence patterns have been poorly studied. Early life environmental conditions can shape senescence by influencing trade‐offs between early and late life performance (disposable soma theory) or individual fitness through lifelong positive effects (silver spoon effects). Using a 23‐year‐long monitoring dataset of two populations of Siberian flying squirrels (Pteromys volans L.) in western Finland, we analysed the occurrence, onset and rate of senescence in female survival, body mass and reproductive performance. We also examined how early life pulsed resources (tree masting during the year of birth) influence age‐specific variations in these traits. Our results indicate that survival senescence occurs after sexual maturity from 3 years of age. Females experiencing high resource availability at birth tended to survive better, but the age‐specific trend was not affected by early life resource conditions. Maternal body mass declined slightly with age, starting at 4 years, regardless of early resource conditions. Similarly, among reproductive traits, we showed late‐onset senescence in both litter size and annual reproductive probability, with no evidence supporting an effect of early life resources on these trends. We found no decline in juvenile body mass or in the juvenile size‐number trade‐off with maternal age. Our findings suggest that pulsed resources experienced at birth have a limited long‐lasting impact on the life‐history traits of this fast‐living rodent, with no significant effect on senescence patterns.

Phenome-wide associations of human aging uncover sex-specific dynamics.

Aging varies significantly among individuals of the same chronological age, indicating that biological age (BA), estimated from molecular and physiological biomarkers, may better reflect aging. Prior research has often ignored sex-specific differences in aging patterns and mainly focused on aging biomarkers from a single data modality. Here we analyze a deeply phenotyped longitudinal cohort (10K project, Israel) of 10,000 healthy individuals aged 40-70 years that includes clinical, physiological, behavioral, environmental and multiomic parameters. Follow-up visits are scheduled every 2 years for a total of 25 years. We devised machine learning models of chronological age and computed biological aging scores that represented diverse physiological systems, revealing different aging patterns among sexes. Higher BA scores were associated with a higher prevalence of age-related medical conditions, highlighting the clinical relevance of these scores. Our analysis revealed system-specific aging dynamics and the potential of deeply phenotyped cohorts to accelerate improvements in our understanding of chronic diseases. Our findings present a more holistic view of the aging process, and lay the foundation for personalized medical prevention strategies.

Age‐Related Plasticity Integration in Male Cicadas Tettigetta isshikii: Are Adult Cicadas Capital Breeders?

ABSTRACTLabile traits, such as behavioural, physiological traits or body mass, vary within an individual either over time or across environments. Such changes within an individual can be linked across traits, forming within‐individual trait correlations. These correlations are particularly expected when ageing causes changes in the expression of multiple traits. Moreover, the direction of these correlations depends on mechanisms that explain age‐related changes in each trait, such as physiological deterioration or changes in future fitness expectations. Therefore, assessing within‐individual trait correlations offers insights into trait‐specific ageing patterns, their integration and age‐related reproductive strategies. Here, we tracked individual male cicadas (Tettigetta isshikii) in their natural habitat, repeatedly assessing their plant use (narrow‐leafed vs. large‐leafed plants), calling activity and body mass. The results revealed that male cicadas lost mass, increased calling activity and a preference for narrow‐leafed plants as they aged. This integration of age‐related plasticity led to negative within‐individual correlations between body mass and behaviours. Considering that adult cicadas consume nutritionally poor xylem sap, the negative within‐individual correlations between body mass and risk‐taking behaviour suggest that T. isshikii males follow a capital breeding strategy rather than an income breeding strategy. As adult cicadas may use up the energy stored during the nymph stage, an age‐related increase in energetically demanding calling activity could cause an age‐related decrease in body mass. The terminal investment hypothesis could also explain the age‐related increase in calling activity and the preference for narrow‐leafed plants. Therefore, we emphasise the importance of individual‐level tracking studies in the wild to achieve a comprehensive understanding of the life‐history strategies and behavioural ecology of a study animal.

The association between ADAMTS14/rs4747096 gene polymorphism and some risk factors and knee osteoarthritis

Knee osteoarthritis (KOA) is an important cause of disability in the world and it denotes a public health defiance of the upcoming years.Aim To examine the connection between ADAMTS14 gene rs4747096 polymorphism and KOA and to assess risk factors associated with KOA.Methods A case control study was conducted on 158 patients with KOA and 120 controls with comparable age and sex randomly recruited from National Research Centre employees. All participants were subjected to full history taking, assessment of KOA severity using WOMAC scoring system, and thorough clinical examination. Blood sample was collected for detection of ADAMTS14/rs4747096 gene polymorphism.Results The frequency of ADAMTS14 gene rs4747096 genotypes among patients with KOA was 73.5% for AA, 25.7% for AG, and 0.7% for GG compared to controls 963%, 31.3%, and 5.6% respectively and the frequency of alleles among patients was 86.4% for A and 78.7% for G compared to controls (78.7% and 21.3% respectively, P < 0.05. The study found that the median levels of total WOMAC score and its domains were significantly higher among KOA patients than controls. The logistic regression analysis revealed that age ≥ 50 years, BMI ≥ 35, and long standing at work were predictive factors for KOA (P < 0.05). Regarding different genetic patterns, only the A recessive pattern of inheritance was found to be a predictive risk factor for KOA.Conclusion For ADAMTS14 rs4747096 genotype, the AA and AG genotypes significantly increased the risk of KOA. The recessive pattern of inheritance, older age, morbid obesity, and prolonged standing at work were the predictive risk factors for KOA. Further studies with larger sample size are encouraged to investigate the mechanism by which this genotype can affect the development of KOA.

Shifting Sands: Examining and Mapping the Population Structure of Greece Through the Last Three Censuses

This paper aims to facilitate a more nuanced understanding of regional disparities in the population age structure at a local scale by applying a recent method for visualizing these disparities. Utilizing data from the three most recent population censuses in Greece, this method applies advanced data visualization techniques to map age distributions, highlighting significant variations in aging patterns across municipalities, towns, and districts. Traditional demographic analysis often overlooks local heterogeneities, leading to broad policies that often fail to address the unique needs of specific regions. Detailed maps are created by integrating geographic data with census data (using R and GIS), enabling policymakers to pinpoint areas with specific demographic challenges and opportunities. This localized approach reveals critical insights, such as regions experiencing rapid population aging, areas with younger population profiles, and zones undergoing demographic transitions. The visualization tool significantly improves the formulation of targeted strategies, enhancing the effectiveness of policies related to healthcare, workforce planning, and social services distribution. Through case studies and comparative analysis, we demonstrate the practical applications and advantages of this method in shaping public policy and strategic planning. This paper contributes to the field of geodemography by introducing and demonstrating a visualization method that enhances the accuracy of demographic analysis, providing policy makers with useful information to better address local demographic challenges and tailor strategies to specific regional needs.

Rapid India–Asia Initial Collision Between 50 and 48 Ma Along the Western Margin of the Indian Plate: Detrital Zircon Provenance Evidence

Constraining the collision timing of India and Asia requires reliable information from the coeval geological record along the ~2400 km long collisional margin. This study provides insights into the India–Asia collision at the westernmost margin of the Indian Plate using combined U-Pb geochronological data and sandstone petrography. The study area is situated in the vicinity of Fort Munro, Pakistan, along the western margin of the Indian Plate, and consists of the Paleocene Dunghan Formation and Eocene Ghazij Formation. The U-Pb ages of detrital zircons from the Dunghan Formation are mainly clustered between ~453 and 1100 Ma with a second minor cluster between ~1600 and 2600 Ma. These ages suggest that the major source contributing to the Dunghan Formation was likely derived from basement rocks and the cover sequence exposed mainly in Tethyan Himalaya (TH), Lesser Himalaya (LH), and Higher Himalayan (HH). Petrographic results suggest that the quartz-rich samples from the Dunghan Formation are mineralogically mature and have likely experienced log-distance transportation, which is possible in the case of an already established and well-developed river system delivering the sediments from the Craton Interior provenance. Samples of the overlying Ghazij Formation show a major detrital zircon age clustered at ~272–600 Ma in the lower part of the formation, comparable to the TH. In the middle part, the major cluster is at ~400–1100 Ma, and a minor cluster at ~1600–2600 Ma similar to the age patterns of TH, LH, and HH. However, in the uppermost part of the Ghazij Formation, ages of &lt;100 Ma are recorded along with 110–166 Ma, ~400–1100 Ma, and ~1600–2600 Ma clusters. The &lt;100 Ma ages were mainly attributed to the northern source, which was the Kohistan-Ladakh arc (KLA). The ~110–166 Ma ages are possibly associated with the TH volcanic rocks, ophiolitic source, and Karakoram block (KB). The Paleozoic to Archean-aged zircons in the Ghazij Formation represent an Indian source. This contrasting provenance shift from India to Asia is also reflected in the sandstone petrography, where the sample KZ-09 is plotted in a dissected arc field. By combining the U-Pb ages of the detrital zircons with sandstone petrography, we attribute this provenance change to the Asia–India collision that caused the provenance shift from the southern (Indian Craton) provenance to the northern (KLA and KB) provenance. In view of the upper age limit of the Ghazij Formation, we suggest the onset of Asian–Indian collision along its western part occurred at ca. 50–48 Ma, which is younger than the collision ages reported from central and northwestern segments of the Indian plate margin with 70–59 Ma and 56 Ma, respectively.

Diabetes among people with intellectual disabilities vs the general population: a register study

Abstract People with intellectual disabilities have an increased risk of diabetes mellitus (DM). They tend to develop it at earlier ages than the general population, resulting in even higher risks in younger people. However, few studies have separated Type 1 and Type 2 DM. The aim of this study was to assess prevalence of different types of DM in different age groups in relation to the general population. We categorized all people in Skåne, Sweden, as ID (service and support for people with ID and/or autism, or a diagnosis of ID or Down syndrome; n = 14 716) or general population (gPop; excluding family members of people in ID; n = 1 226 955). Data regarding diagnoses of Type 1 (E10 in ICD-10) and Type 2 (E11) DM were collected for 2014-2021. Age at inclusion (i.e., 2014) was considered as children (0-12 years), adolescents (13-18), young adults (19-24), adults (25-44), lower middle-age (45-54), upper middle-age (55-64), older people (65+). The overall prevalence of Type 1 DM was 2.3% in ID and 1.6% in gPop (relative risk [RR] 2.14, 95% confidence interval 1.93-2.38). In ID, the prevalence was below 2% in the youngest age groups, and then increased with age until upper middle-age, where it reached 6.0%. The risk of Type 1 DM among people with ID compared to gPop was relatively stable, with the RR ranging between 1.16 (older people) to 2.83 (adults). For Type 2 DM, the overall prevalence was 7.2% in ID and 7.8% in gPop (RR 2.00, 1.89-2.13). There was a consistent age-related increase in prevalence in ID, from 0.3% among children to 27.4% among older people. The opposite pattern was found for the risk compared to gPop, with the higher risks (RR 3.63-6.98) in the younger age groups and lower risks (RR 1.27-4.41) in the older age groups. Both types of DM were more prevalent among people with intellectual disabilities than in the general population. However, the patterns of prevalence and risk compared to the general population differed for the two types. Key messages • People with intellectual disabilities have increased risk of both Type 1 and Type 2 diabetes mellitus. • Type 1 and Type 2 diabetes mellitus displays different age patterns among people with intellectual disabilities.

Circulating Galectin-3 distinguishes global aortic aging among older women

Abstract Background Traditional cardiovascular risk factors may underestimate age-associated cardiovascular risk, particularly in estimating discrepant risks between sexes. As a marker of adverse cardiovascular events, aortic stiffness may improve risk assessment, but the requirement for advanced imaging equipment restrict widespread translation of this paradigm. Conversely, circulating blood biomarkers may augment mechanistic understanding and distinguish sex-based differences in aortic stiffness. Purpose Hypothesizing that Galectin-3 (Gal-3) is associated with aortic aging among older adults, we examined sex-based differences between Gal-3 and global aortic stiffness as assessed by a novel cardiac magnetic resonance (CMR)-derived measurement of aortic global longitudinal strain (AOGLS). Methods Community older adults without cardiovascular disease underwent simultaneous CMR with serum Gal-3 quantification using chemiluminescent microparticle immunoassays. Poorer AOGLS was defined as values below the 75th percentile of AOGLS measurements. Multivariable regression models were used to assess the association of Gal-3 with AOGLS. Results Of 255 participants (mean age 70.8 ±9.1 years, LVEF 66.3 ±8.3%), 44.3% were women. Poorer AOGLS was characterized by higher Gal-3 (B coefficient = -0.101, 95%CI [-0.167, -0.034], p = 0.003), mean age (B = -0.126, 95%CI [-0.154, -0.098], p &amp;lt;0.001), male sex (B = -0.991, 95%CI [-0.409, -1.572], p = 0.001), history of hypertension (B = -0.777, 95%CI [-1.364, -0.189], p = 0.010), diabetes mellitus (B = -0.888, 95%CI [-1.617,-0.158], p = 0.017), smoking (B = -1.346, 95%CI [-2.15, -0.542], p=0.001), pulse rate (B = -0.032, 95%CI [-0.055, -0.01], p = 0.005), systolic BP (B = -0.014, 95%CI [-0.025, -0.004], p = 0.009), and diastolic BP (B = -0.033, 95%CI [-0.06, -0.006], p = 0.018) on univariable linear regressions; no associations were observed with urine albumin-to-creatinine ratio, serum NT-ProBNP, or hs-Troponin I. After multivariable adjustments for sex, age, significant cardiovascular risk factors (hypertension, diabetes, smoking), and pulse rate, the inverse relationship between Gal-3 and AOGLS (Figure 1) persisted (B = -0.071 95%CI [-0.135, -0.008], adj. p = 0.028, R2 = 0.217). The association between Gal-3 and AOGLS was more marked among women (Figure 2), compared to men. Among women, higher Gal-3 characterized women with poorer AOGLS (17.04 ±3.73 ng/mL vs 15.48 ±3.55 ng/mL p = 0.040) (B = -0.120, OR 0.887, 95% CI [0.787, 0.999], adj. p = 0.048), independent of age. Conclusions Galectin-3 was adversely associated with novel CMR-derived AOGLS. Among these older adults with age-associated observations in AOGLS, Gal-3 highlighted sex-based differences in AOGLS and differentiated women with poorer AOGLS from women with better AOGLS. Serum Gal-3 measurements may be useful for detecting adverse patterns of aortic aging, particularly as an early approach in community older adults.

Dementia in migrants living in Lazio region, Italy: prevalence and population characteristics

Abstract Background Given ongoing demographic and epidemiological transitions, dementia prevalence is expected to rise among both native populations and migrants. Understanding this phenomenon is crucial for healthcare planning. This study, part of the IMMIDEM project (GR-2021-12372081), aims to estimate dementia prevalence in Lazio by migrant status. Methods A cross-sectional study was conducted on individuals aged ≥50, living in Lazio and receiving assistance from the Regional Health Service as of December 31, 2022. A validated algorithm based on Health Information Systems identified patients with dementia. Migrant status was defined by Country of birth, categorized as native Italians, migrants from Highly Developed Countries (HDCs) and from High Migratory Pressure Countries (HMPCs). Age-standardized prevalence of dementia was estimated overall and by migrant status, and 95% confidence intervals (CI) were calculated. Dementia population characteristics were described and compared according to migrant status using χ2test. Results The study included 3,976,160 individuals: 88.9% Italians, 1.7% migrants from HDCs, and 9.4% from HMPCs. Among them, 38,708 had dementia, with a prevalence of 8.48‰ (CI: 8.39-8.57). Dementia prevalence by migrant status was 8.68‰ (CI: 8.58-8.77) in Italians, 6.90‰ (CI: 6.19-7.62) in HDCs migrants, and 5.73‰ (CI:5.37-6.10) in HMPCs migrants. Demographic traits across migrant categories reveal distinct age and gender patterns, with more elderly Italians and a higher male percentage among migrants. From a clinical perspective, Italians showed a higher percentage of circulatory system diseases than migrants (23.5% Italians, 19.2% HDCs, 18.7% HMPCs, p = 0.001), along with a greater percentage of anti-dementia drug prescriptions (54.4% Italians, 50.9% HDCs, 47.4% HMPCs, p &amp;lt; 0.001). Conclusions The study found lower dementia prevalence among migrants compared to native Italians, with reduced access to healthcare services, especially in individuals from HMPCs. Key messages • The dementia prevalence in migrants is lower than in native Italians. • These findings suggest potential underdiagnosis and undertreatment, urging policymakers and healthcare providers to address these healthcare disparities.

Effects of development and parental care on Hamilton's force of selection.

The force of selection describes the sensitivity of population growth to changes in life history parameters, with a focus usually on the survival probabilities from one age class to the next. Importantly, according to Hamilton the force of selection generally decreases after the onset of reproduction, thereby providing a possible explanation for patterns of senescence. A second characteristic feature is that the force of selection remains constant up to the age of first re- production. This latter observation, however, rests on the assumption that offspring become independent from their parents right after birth. I show here in a minimal model that if offspring are fully reliant on their parents, either during early embryonal development or via parental care at later stages, and during this time prevent their parents from entering a new bout of repro- duction, the force of selection on offspring survival generally increases up until the age at which offspring become independent. This provides a possible explanation for the commonly observed pattern of decreasing mortality during early ontogeny. Further, genes acting during recurrent life stages are observed to experience a heightened force of selection compared to genes that act strictly age-specifically, demonstrating the need to develop a mechanistic understanding of gene activation patterns through which to consider life history evolution.

Practice Patterns Vary Widely in the Care of Pediatric and Adolescent Pelvic and Acetabular Fractures: A CORTICES Survey.

Pediatric pelvic and acetabular fractures are rare but potentially devastating injuries and significant management variation exists across the United States. This study sought to elucidate treatment decision-making trends, involvement of adult trauma fellowship-trained surgeons in pediatric care, and pre- and postoperative transfer patterns. Pediatric orthopaedic surgeons who serve as trauma liaisons at 20 PTCs were surveyed regarding training, practice volume, and factors contributing to institutional management of pelvic and acetabular injuries. Five clinical scenarios of pelvic ring and acetabular fractures that varied by injury pattern, age, and sex were presented. Descriptive statistics were used to summarize the results. Eighteen institutions responded to the survey (90% response rate, 16 Level, 1 PTC). All surgeons were pediatric fellowship-trained (77.7% in practice >5y). The four most common factors affecting whether surgeons independently managed both pelvic ring and acetabular fractures were patient age, fracture characteristics, displacement and need for surgery. The majority reported managing <10 acetabular (72.2%) but >10 pelvic ring (77.8%) injuries per year. In the clinical scenarios, patients <10 were more likely to have treatment decisions made by a pediatric orthopaedic surgeon. Older patients were more likely to be transferred to another institution for surgery but were often transferred back to the PTC postoperatively. In all clinical scenarios other than posterior hip dislocation, a trauma fellowship-trained surgeon was more likely to be the operative surgeon, even when the patient was not transferred. There is substantial variation in the management of pediatric and adolescent pelvic and acetabular fractures. Even at tertiary care PTCs, volumes are low, and trauma fellowship-trained surgeons are often involved in decision-making and operative management. Age and injury pattern seem to play a large role in variation, and patient transfers between facilities are common. V.

Protein catabolites as blood-based biomarkers of aging physiology: Findings from the Dog Aging Project.

Our understanding of age-related physiology and metabolism has grown through the study of systems biology, including transcriptomics, single-cell analysis, proteomics and metabolomics. Studies in lab organisms in controlled environments, while powerful and complex, fall short of capturing the breadth of genetic and environmental variation in nature. Thus, there is now a major effort in geroscience to identify aging biomarkers and to develop aging interventions that might be applied across the diversity of humans and other free-living species. To meet this challenge, the Dog Aging Project (DAP) is designed to identify cross-sectional and longitudinal patterns of aging in complex systems, and how these are shaped by the diversity of genetic and environmental variation among companion dogs. Here we surveyed the plasma metabolome from the first year of sampling of the Precision Cohort of the DAP. By incorporating extensive metadata and whole genome sequencing information, we were able to overcome the limitations inherent in breed-based estimates of genetic and physiological effects, and to probe the physiological and dietary basis of the age-related metabolome. We identified a significant effect of age on approximately 40% of measured metabolites. Among other insights, we discovered a potentially novel biomarker of age in the post-translationally modified amino acids (ptmAAs). The ptmAAs, which can only be generated by protein hydrolysis, covaried both with age and with other biomarkers of amino acid metabolism, and in a way that was robust to diet. Clinical measures of kidney function mediated about half of the higher ptmAA levels in older dogs. This work identifies ptmAAs as robust indicators of age in dogs, and points to kidney function as a physiological mediator of age-associated variation in the plasma metabolome.

Population clustering of structural brain aging and its association with brain development

Structural brain aging has demonstrated strong inter-individual heterogeneity and mirroring patterns with brain development. However, due to the lack of large-scale longitudinal neuroimaging studies, most of the existing research focused on the cross-sectional changes of brain aging. In this investigation, we present a data-driven approach that incorporate both cross-sectional changes and longitudinal trajectories of structural brain aging and identified two brain aging patterns among 37,013 healthy participants from UK Biobank. Participants with accelerated brain aging also demonstrated accelerated biological aging, cognitive decline and increased genetic susceptibilities to major neuropsychiatric disorders. Further, by integrating longitudinal neuroimaging studies from a multi-center adolescent cohort, we validated the ‘last in, first out’ mirroring hypothesis and identified brain regions with manifested mirroring patterns between brain aging and brain development. Genomic analyses revealed risk loci and genes contributing to accelerated brain aging and delayed brain development, providing molecular basis for elucidating the biological mechanisms underlying brain aging and related disorders.

Population clustering of structural brain aging and its association with brain development.

Structural brain aging has demonstrated strong inter-individual heterogeneity and mirroring patterns with brain development. However, due to the lack of large-scale longitudinal neuroimaging studies, most of the existing research focused on the cross-sectional changes of brain aging. In this investigation, we present a data-driven approach that incorporate both cross-sectional changes and longitudinal trajectories of structural brain aging and identified two brain aging patterns among 37,013 healthy participants from UK Biobank. Participants with accelerated brain aging also demonstrated accelerated biological aging, cognitive decline and increased genetic susceptibilities to major neuropsychiatric disorders. Further, by integrating longitudinal neuroimaging studies from a multi-center adolescent cohort, we validated the 'last in, first out' mirroring hypothesis and identified brain regions with manifested mirroring patterns between brain aging and brain development. Genomic analyses revealed risk loci and genes contributing to accelerated brain aging and delayed brain development, providing molecular basis for elucidating the biological mechanisms underlying brain aging and related disorders.

Population-Level Distribution, Risk Factors, and Burden of Mortality and Disability-Adjusted Life Years Attributable to Major Noncommunicable Diseases in Western Europe (1990-2021): Ecological Analysis.

Cardiovascular diseases (CVDs) and neoplasms are leading causes of mortality worldwide. This study aims to provide a comprehensive analysis of the mortality burden and disability-adjusted life years (DALYs) attributable to CVDs and neoplasms in Western Europe, investigate associated risk factors, and identify regional disparities. Additionally, the study evaluates the effectiveness of the Action Plan for the Prevention and Control of Non-Communicable Diseases (NCDs) in promoting healthier lives in the region. The study collected data on mortality and DALYs due to CVDs and cancers from 24 Western European countries using the Global Burden of Disease Study 2021. The analysis explored age, sex, and country-specific patterns, as well as risk factors contributing to these deaths. Additionally, the study examined time trends by calculating the annual percent change in mortality rates from 1990 to 2021 by region and cause. In 2021, CVDs and neoplasms accounted for 27.8% and 27.1% of total deaths in Western Europe, with age-standardized death rates of 106.8 and 125.8 per 100,000, respectively. The top two CVDs in this region were ischemic heart disease and stroke, with age-standardized death rates of 47.27 (95% uncertainty interval [UI] 50.42-41.45) and 27.06 (95% UI 29.17-23.00), respectively. Similarly, the top two neoplasms were lung cancer and colorectal cancer, with age-standardized death rates of 26.4 (95% UI 27.69-24.47) and 15.1 (95% UI 16.25-13.53), respectively. Between 1990 and 2021, CVD mortality rates decreased by 61.9%, while cancer rates decreased by 28.27%. Finland had the highest CVD burden (39.5%), and Monaco had the highest rate of cancer-related deaths (34.8%). Gender differences were observed, with males experiencing a higher burden of both CVDs and cancer. Older individuals were also more at risk. Smoking had a stronger impact on CVD mortality and DALYs in males, while a higher Human Development Index was associated with increased cancer deaths and DALYs in females. The study findings highlight the substantial burden of NCDs, particularly CVDs and cancer, in Western Europe. This underscores the critical need for targeted interventions and effective implementation of the Action Plan for the Prevention and Control of NCDs to achieve the goal of ensuring healthy lives for all.

Screening of Pre-Diabetes and Type-II Diabetes Mellitus Among the Personnel of Bangladesh Air Force

Background: Medical Squadron (Med Sqn) of Bangladesh Air Force (BAF) Base Bashar (BSR) has been providing medical support for BAF Base BSR, Air Headquarters, most of the retired officers and their families. It has been observed that the number of Diabetes Mellitus (DM) patient is increasing day by day, and now it becomes a major health problem among the members of BAF, even among the young age group. In view of above, a study was conducted among the BAF uniform members who reported for laboratory investigation to Med Sqn BAF Base BSR. Assessing prevalence of DM among BAF personnel will also help for overall assessment of health problem of BAF personnel to make a preventive guideline. Methods: A descriptive type of cross-sectional study was conducted with available data in the pathological laboratory of Med Sqn BAF Base BSR during the period from 01 July 2021 to 30 Jun 2022. Within this period a total 9269 Air Force uniform members reported for routine as well as diagnostic purpose of checking blood sugar. Associated risk factor like overweight or obesity was also assessed by latest data from personal documents. Age and job pattern wise data were also analyzed. Statistical Package for Social Sciences (SPSS) version 29.0 was used to analyze data. Results: Out of 9269 BAF members a total 683 persons (7.36%) had high (above normal) plasma glucose. Of these 413(60.46%) were diabetic and 270(39.53%) were pre-diabetic (IFG/IGT). Among the 413 diabetic patients 292(42.75%) had fasting plasma glucose (FPG) ≥7 mmol/L as well as post prandial plasma glucose (PPPG) level ≥11.1 mmol/L. Among the 270 pre-diabetic patients 205(30.01%) had FPG level between 6.1-6.9 mmol/L with PPPG level &lt;7.8 mmol/L (Impaired Fasting Glucose/IFG) and 65(9.51%) had FPG level &lt;7 mmol/L with PPPG level between 7.8-11 mmol/L (Impaired Glucose Tolerance/IGT). Conclusion: DM has become a major health concern all over the world. This study attempted to identify the prevalence of age-related factors for DM among BAF uniform members between the ages 30 to 60 years. It has been observed that the prevalence of pre-diabetes is more among the 41 to 45 years age group and Type-II DM among the 46-50 years age group. Bangladesh Armed Forces Med J Vol 57 No (1) June 2024, pp 22-27

Using multivariate partial least squares on fNIRS data to examine load-dependent brain-behaviour relationships in aging.

Researchers implementing non-invasive neuroimaging have reported distinct load-dependent brain activity patterns in older adults compared with younger adults. Although findings are mixed, these age-related patterns are often associated with compensatory mechanisms of cognitive decline even in the absence of direct comparisons between brain activity and cognitive performance. This study investigated the effects of cognitive load on brain-behavior relationships in younger and older adults using a data-driven, multivariate partial least squares (PLS) analysis of functional near-infrared spectroscopy (fNIRS) data. We measured bilateral prefrontal brain activity in 31 older and 27 younger adults while they performed single and dual 2-back tasks. Behavioral PLS analysis was used to determine relationships between performance metrics (reaction time and error rate) and brain oxygenation (HbO) and deoxygenation (HbR) patterns across groups and task loads. Results revealed significant age-group differences in brain-behavior relationships. In younger adults, increased brain activity (i.e., increased HbO and decreased HbR) was associated with faster reaction times and better accuracy in the single task, indicating sufficient neural capacity. Conversely, older adults showed a negative correlation between HbR and error rates in the single task; however, in the dual task, they demonstrated a positive relationship between HbO and performance, indicative of compensatory mechanisms under the higher cognitive load. Overall, older adults' showed relationships with either HbR or HbO, but not both, indicating that the robustness of the relationship between brain activity and behavior varies across task load conditions. Our PLS approach revealed distinct load-dependent brain activity between age groups, providing further insight into neurocognitive aging patterns, such as compensatory mechanisms, by emphasizing the variability and complexity of brain-behavior relationships. Our findings also highlight the importance of considering task complexity and cognitive demands in interpreting age-related brain activity patterns.

Macroscale connectome topographical structure reveals the biomechanisms of brain dysfunction in Alzheimer's disease.

The intricate spatial configurations of brain networks offer essential insights into understanding the specific patterns of brain abnormalities and the underlying biological mechanisms associated with Alzheimer's disease (AD), normal aging, and other neurodegenerative disorders. This study investigated alterations in the topographical structure of the brain related to aging and neurodegenerative diseases by analyzing brain gradients derived from structural MRI data across multiple cohorts (n = 7323). The analysis identified distinct gradient patterns in AD, aging, and other neurodegenerative conditions. Gene enrichment analysis indicated that inorganic ion transmembrane transport was the most significant term in normal aging, while chemical synaptic transmission is a common enrichment term across various neurodegenerative diseases. Moreover, the findings show that each disorder exhibits unique dysfunctional neurophysiological characteristics. These insights are pivotal for elucidating the distinct biological mechanisms underlying AD, thereby enhancing our understanding of its unique clinical phenotypes in contrast to normal aging and other neurodegenerative disorders.

Age at marriage and its determinants in Kerala and Bihar

BackgroundMarriage is a significant milestone in one’s life, and the age at which individuals choose to get married can have various implications. By examining the age at marriage and its determinants in different regions, such as Kerala and Bihar, we can gain insights into Socio-demographic factors that influence this decision.MethodsThe National Family Health Survey (2019–2021) data was used. A total of 41,392 ever married women from Kerala (8, 579) and Bihar (32,813) were analysed using bivariate and multiple binary logistic regression approaches to meet the study aim.ResultThe significant association was found between explanatory factors and age at first marriage in Karala and Bihar. In Bihar, educated women from the poorest families had a higher rate of early marriages. Conversely, in Kerala, uneducated women from non-majority religions and larger households (more than 6 members) were more likely to be married before18. After accounting major effects of background characteristics, the adjusted odds ratio showed that In Kerala Muslim religion women have significantly higher odds of getting married before 18 (OR: 3.09, CI 2.67–3.57) then the Hindu women whereas in Bihar Muslim religion women has the significantly lower chance of getting married before turning 18 (OR: 0.87, CI 0.81–0.93) compared to Hindu. In both the states Kerala and Bihar General social group women had the significantly lower odds of getting married below 18 (OR: 0.73, CI 0.57–0.93 and OR: 0.88, CI 0.81–0.96) with respect to SC/ST social group women’s.ConclusionWomen in Bihar usually marry in younger age due to socioeconomic and traditional reasons, whereas in Kerala reverse is true, because of a greater emphasis on education and a more progressive social outlook. These regional variations reflect different cultural norms and socioeconomic environments, shape different marriage age patterns between the two regions.