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Poirson B, Vandel P, Bourdin H, Galli S. Age-related changes in sleep spindle characteristics in individuals over 75 years of age: a retrospective and comparative study. BMC Geriatr 2024; 24:778. [PMID: 39304816 DOI: 10.1186/s12877-024-05364-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2024] [Accepted: 09/06/2024] [Indexed: 09/22/2024] Open
Abstract
BACKGROUND Sleep and its architecture are affected and changing through the whole lifespan. We know main modifications of the macro-architecture with a shorter sleep, occurring earlier and being more fragmented. We have been studying sleep micro-architecture through its pathological modification in sleep, psychiatric or neurocognitive disorders whereas we are still unable to say if the sleep micro-architecture of an old and very old person is rather normal, under physiological changes, or a concern for a future disorder to appear. We wanted to evaluate age-related changes in sleep spindle characteristics in individuals over 75 years of age compared with younger individuals. METHODS This was an exploratory study based on retrospective and comparative laboratory-based polysomnography data registered in the normal care routine for people over 75 years of age compared to people aged 65-74 years. We were studying their sleep spindle characteristics (localization, density, frequency, amplitude, and duration) in the N2 and N3 sleep stages. ANOVA and ANCOVA using age, sex and OSA were applied. RESULTS We included 36 participants aged > 75 years and 57 participants aged between 65 and 74 years. An OSA diagnosis was most common in both groups. Older adults receive more medication to modify their sleep. Spindle localization becomes more central after 75 years of age. Changes in the other sleep spindle characteristics between the N2 and N3 sleep stages and between the slow and fast spindles were conformed to literature data, but age was a relevant modifier only for density and duration. CONCLUSION We observed the same sleep spindle characteristics in both age groups except for localization. We built our study on a short sample, and participants were not free of all sleep disorders. We could establish normative values through further studies with larger samples of people without any sleep disorders to understand the modifications in normal aging and pathological conditions and to reveal the predictive biomarker function of sleep spindles.
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Affiliation(s)
- Bastien Poirson
- CHU de Besançon, Service de Gériatrie, Besançon, F-25000, France.
- Université de Franche-Comté, UMR INSERM 1322 LINC, Besançon, F-25000, France.
| | - Pierre Vandel
- Université de Franche-Comté, UMR INSERM 1322 LINC, Besançon, F-25000, France
- Service of Old Age Psychiatry, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Prilly, 1008, Switzerland
| | - Hubert Bourdin
- CHU de Besançon, Unité d'Explorations du Sommeil et de la Vigilance, Besançon, F-25000, France
- Université de Franche-Comté, UMR INSERM 1322 LINC, Besançon, F-25000, France
| | - Silvio Galli
- CHU de Besançon, Unité d'Explorations du Sommeil et de la Vigilance, Besançon, F-25000, France
- Université de Franche-Comté, UMR INSERM 1322 LINC, Besançon, F-25000, France
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Campos ACBF, Teixeira IG, Moraes NDS, Cadorin IDJ, Morelli PM, Lidio AV, Medeiros EB, Garcez ML, Keller GS, Kucharska E, da Rosa MI, Ceretta LB, Quevedo J, Budni J. Prevalence of cognitive impairment and associated factors in older people. J Affect Disord 2024; 355:283-289. [PMID: 38479509 DOI: 10.1016/j.jad.2024.03.072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 03/01/2024] [Accepted: 03/10/2024] [Indexed: 04/06/2024]
Abstract
BACKGROUND Older people are the fastest-growing age group, with the highest risk of cognitive impairment. This study assessed the prevalence and associated factors with cognitive impairment in community-dwelling older people. METHODS Older people were interviewed and accomplished through sociodemographic and health questionnaires. The quantitative variables were described by mean and standard deviation or median and interquartile range. The significance level adopted was 5 % (p < 0.05). The association between the quantitative variables was evaluated using the Pearson or Spearman correlation coefficients. RESULTS The research population comprised 165 long-lived adults aged ≥80. The youngest one was 80, and the oldest one was 94 years old. The participants were 84.8 ± 3.6 years old, female (63 %) with a mean of education of 2.9 ± 1.8 years. A poor performance in the Mini-Mental State Examination (MMSE) was found in 58 (35.2 %) individuals when adjusted for educational level. After adjustment for confounding factors, body mass index (BMI) (p = 0.09), total older adults' income (up to 1 minimum wage [mw], p = 0.023; over 1 to 2 mw, p = 0.023), functional disability (Moderate dependence 75 %, p = 0.038; Moderate dependence 50 %, p = 0.081; Moderate dependence 25 %, p = 0.054), and the anxiety scale (p = 0.032), remained associated with cognitive impairment. CONCLUSIONS This study showed that BMI, total older adults' income, functional disability, and anxiety are related to cognitive impairment in long-lived adults. This study has some limitations, such as the fact that it is a cross-sectional study, the reduced number of individuals, and the fact that there were no comparisons among different ages and populations.
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Affiliation(s)
| | - Iara Gonçalves Teixeira
- Laboratory of Experimental Neurology, Graduate Program in Health Sciences (PPGCS), University of Southern Santa Catarina (UNESC), Criciúma, SC, Brazil
| | - Nayara de Souza Moraes
- Laboratory of Experimental Neurology, Graduate Program in Health Sciences (PPGCS), University of Southern Santa Catarina (UNESC), Criciúma, SC, Brazil
| | - Isabela de Jesus Cadorin
- Laboratory of Experimental Neurology, Graduate Program in Health Sciences (PPGCS), University of Southern Santa Catarina (UNESC), Criciúma, SC, Brazil
| | - Patrícia Mariotto Morelli
- Laboratory of Experimental Neurology, Graduate Program in Health Sciences (PPGCS), University of Southern Santa Catarina (UNESC), Criciúma, SC, Brazil
| | - Adrielly Vargas Lidio
- Laboratory of Experimental Neurology, Graduate Program in Health Sciences (PPGCS), University of Southern Santa Catarina (UNESC), Criciúma, SC, Brazil
| | - Eduarda Behenck Medeiros
- Laboratory of Experimental Neurology, Graduate Program in Health Sciences (PPGCS), University of Southern Santa Catarina (UNESC), Criciúma, SC, Brazil
| | - Michelle Lima Garcez
- Laboratory of Experimental Neurology, Graduate Program in Health Sciences (PPGCS), University of Southern Santa Catarina (UNESC), Criciúma, SC, Brazil
| | - Gabriela Serafim Keller
- Laboratory of Experimental Neurology, Graduate Program in Health Sciences (PPGCS), University of Southern Santa Catarina (UNESC), Criciúma, SC, Brazil
| | - Ewa Kucharska
- Akademia Ignatianum w Krakowie Wydział Pedagogiczny Instytut Nauk o Wychowaniu, Krakow, Poland
| | - Maria Inês da Rosa
- Graduate Program in Public Health (PPGSCol), University of Southern Santa Catarina (UNESC), Criciúma, Santa Catarina, Brazil; Laboratory of Translational Biomedicine, Graduate Program in Health Sciences (PPGCS), University of Southern Santa Catarina (UNESC), Criciúma, SC, Brazil
| | - Luciane Bisognin Ceretta
- Graduate Program in Public Health (PPGSCol), University of Southern Santa Catarina (UNESC), Criciúma, Santa Catarina, Brazil
| | - João Quevedo
- Center of Excellence on Mood Disorders, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA; Translational Psychiatry Program, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA; Neuroscience Graduate Program, Graduate School of Biomedical Sciences, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA; Laboratory of Translational Psychiatry, Graduate Program in Health Science (PPGCS), University of Southern Santa Catarina (UNESC), Criciúma, SC, Brazil
| | - Josiane Budni
- Laboratory of Experimental Neurology, Graduate Program in Health Sciences (PPGCS), University of Southern Santa Catarina (UNESC), Criciúma, SC, Brazil.
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Ghneim MH, Broderick M, Stein DM. Sleep-Wake Disorders Among Older Adults Following Traumatic Brain Injury. ADVANCES IN NEUROBIOLOGY 2024; 42:85-98. [PMID: 39432038 DOI: 10.1007/978-3-031-69832-3_4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/22/2024]
Abstract
Traumatic brain injuries (TBI) are increasingly common in older adults and represent a substantial source of morbidity and mortality for this population. In addition to the impact from the primary insult, TBI can lead to a variety of chronic neurocognitive conditions including dementia, depression, and sleep disturbances. When caused by TBI, these conditions differ importantly from their non-TBI-related counterparts. Much about how TBI relates to the development of these conditions is unknown, and more research is needed to further elucidate optimal treatment strategies.
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Affiliation(s)
- Mira H Ghneim
- R Adams Cowley Shock Trauma, The University of Maryland School of Medicine, Baltimore, MD, USA.
| | - Meaghan Broderick
- R Adams Cowley Shock Trauma, The University of Maryland School of Medicine, Baltimore, MD, USA
| | - Deborah M Stein
- R Adams Cowley Shock Trauma, The University of Maryland School of Medicine, Baltimore, MD, USA
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Wang Y, Xiong H, Chen C. Agricultural non-point source pollution and health of the elderly in rural China. PLoS One 2022; 17:e0274027. [PMID: 36240140 PMCID: PMC9565375 DOI: 10.1371/journal.pone.0274027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 08/20/2022] [Indexed: 11/24/2022] Open
Abstract
Large input and high loss of chemical fertilizer are the major causes of agricultural non-point source pollution in China. Employing fertilizer loss and micro-health data, this paper analyzes the effects of chemical fertilizer loss on the health of rural elderly and the medical cost in China. Results of the difference-in-differences (DID) method indicate that one kg/ha increase in fertilizer loss alters a key medical disability index (Activities of Daily Living) by 0.0147 (0.2 percent changes) and the number of diseases by 0.0057 for rural residents of 65 and older. This is equivalent to CNY 316 million (USD 45 million) at national medical cost. Furthermore, the age of onset is younger in regions with higher fertilizer loss. One kg/ha increase of fertilizer loss advances the age of onset by 0.267 year, which will cause long-term effect on public health. Our results are robust to a variety of robustness checks.
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Affiliation(s)
- Ying Wang
- College of Economics and Management, Nanjing Agricultural University, Nanjing, Jiangsu, P.R.China
| | - Hang Xiong
- College of Economics and Management, Nanjing Agricultural University, Nanjing, Jiangsu, P.R.China
- China Center for Food Security Studies, Nanjing Agricultural University, Nanjing, Jiangsu, P.R.China
| | - Chao Chen
- College of Economics and Management, Nanjing Agricultural University, Nanjing, Jiangsu, P.R.China
- China Center for Food Security Studies, Nanjing Agricultural University, Nanjing, Jiangsu, P.R.China
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