Background: Qualitative methods through lived experience narratives provide relevant sociocultural insights into healthy aging.
Objectives: The aim of this qualitative study was to explore social and cultural perceptions of healthy aging from older adults (OAs), their next of kin, and those involved in providing services to OAs in Bengaluru, India.
Materials And Methods: We conducted in-depth interviews with 28 participants, all purposefully selected based on specific inclusion criteria, to get as varied a sample as possible. A pilot-tested, open-ended topic guide was used for every interview which was audio recorded with the permission of the respondent. Verbatim data were transcribed, reviewed for errors, and coded using NVivo 12 software and the framework analysis method of combining deductive and inductive codes.
Results: In total, 794 codes covering concepts of healthy aging, enablers and threats to healthy aging, and perspectives for the future were categorized into four themes supporting healthy aging, namely emotional well-being and a sense of purpose, family and social support, financial security, and health-care access. Each of these had a bearing on the OA's physical and mental health. Across socioeconomic groups, a sense of purpose at the level of the self, family, and society emerged as a key emotional sustainer. Social and economic deprivations were key threats to healthy aging and hence required social security and governmental interventions.
Conclusion: Sociocultural economic factors are key to healthy physical and mental aging in the context of India. The same factor could be an enabler and in its absence a threat.
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http://dx.doi.org/10.4103/ijph.ijph_846_23 | DOI Listing |
Sci Rep
December 2024
School of Chemistry, Faculty of Engineering and Physical Sciences, University of Southampton, Life Sciences Building 85, University Road, Highfield, Southampton, SO17 1BJ, UK.
Osteoarthritis (OA) is a complex disease of cartilage characterised by joint pain, functional limitation, and reduced quality of life with affected joint movement leading to pain and limited mobility. Current methods to diagnose OA are predominantly limited to X-ray, MRI and invasive joint fluid analysis, all of which lack chemical or molecular specificity and are limited to detection of the disease at later stages. A rapid minimally invasive and non-destructive approach to disease diagnosis is a critical unmet need.
View Article and Find Full Text PDFEur Arch Psychiatry Clin Neurosci
December 2024
Laboratory of Clinical Neuropathology, Mental Health Research Center, Kashirskoe Shosse 34, 115522, Moscow, Russia.
Previously we found altered microglia-neuron interactions in the prefrontal cortex in schizophrenia. We hypothesized that microglia-neuron interactions may be dysregulated in the caudate nucleus in schizophrenia. A postmortem ultrastructural morphometric study was performed to investigate satellite microglia (SatMg) and adjacent neurons in the head of the caudate nucleus in 21 cases of schizophrenia and 20 healthy controls.
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December 2024
Institute of Psychology, University of Bern, Bern, Switzerland.
Aging is typically associated with declines in episodic memory, executive functions, and sleep quality. Therefore, the sleep-dependent stabilization of episodic memory is suspected to decline during aging. This might reflect in accelerated long-term forgetting, which refers to normal learning and retention over hours, yet an abnormal retention over nights and days.
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December 2024
State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
The gut microbiome, recognized as a critical component in the development of chronic diseases and aging processes, constitutes a promising approach for predicting host health status. Previous research has underscored the potential of microbiome-based predictions, and the rapid advancements of machine learning techniques have introduced new opportunities for exploiting microbiome data. To predict various host nonhealthy conditions, this study proposed an integrated machine learning-based estimation pipeline of Gut Age Index (GAI) by establishing a health aging baseline with the gut microbiome data from healthy individuals.
View Article and Find Full Text PDFImmun Ageing
December 2024
Department of Immunology, Center of Immuno-molecular Engineering, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi, China.
The increased incidence of inflammatory diseases, infectious diseases, autoimmune disorders, and tumors in elderly individuals is closely associated with several well-established features of immunosenescence, including reduced B cell genesis and dampened immune responses. Recent studies have highlighted the critical role of dual receptor lymphocytes in tumors and autoimmune diseases. This study utilized shared data generated through scRNA-seq + scBCR-seq technology to investigate the presence of dual receptor-expressing B cells in the peritoneum of mouse and peripheral blood of healthy volunteers, and whether there are age-related differences in dual receptor B cell populations.
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