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2,491 results on '"Singh-Manoux, Archana"'

1. Dementia prevention, intervention, and care: 2024 report of the Lancet standing Commission

Author

Livingston, Gill, Huntley, Jonathan, Liu, Kathy Y, Costafreda, Sergi G, Selbæk, Geir, Alladi, Suvarna, Ames, David, Banerjee, Sube, Burns, Alistair, Brayne, Carol, Fox, Nick C, Ferri, Cleusa P, Gitlin, Laura N, Howard, Robert, Kales, Helen C, Kivimäki, Mika, Larson, Eric B, Nakasujja, Noeline, Rockwood, Kenneth, Samus, Quincy, Shirai, Kokoro, Singh-Manoux, Archana, Schneider, Lon S, Walsh, Sebastian, Yao, Yao, Sommerlad, Andrew, and Mukadam, Naaheed

Published
2024
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7. Trajectories of cardiac troponin in the decades before cardiovascular death: a longitudinal cohort study

Author

Kimenai, Dorien M., Anand, Atul, de Bakker, Marie, Shipley, Martin, Fujisawa, Takeshi, Lyngbakken, Magnus N., Hveem, Kristian, Omland, Torbjørn, Valencia-Hernández, Carlos A., Lindbohm, Joni V., Kivimaki, Mika, Singh-Manoux, Archana, Strachan, Fiona E., Shah, Anoop S. V., Kardys, Isabella, Boersma, Eric, Brunner, Eric J., and Mills, Nicholas L.

Published
2023
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10. Sleep duration over 28 years, cognition, gray matter volume, and white matter microstructure: a prospective cohort study

Author

Zitser, Jennifer, Anatürk, Melis, Zsoldos, Enikő, Mahmood, Abda, Filippini, Nicola, Suri, Sana, Leng, Yue, Yaffe, Kristine, Singh-Manoux, Archana, Kivimaki, Mika, Ebmeier, Klaus, and Sexton, Claire

Subjects
Behavioral and Social Science, Clinical Research, Basic Behavioral and Social Science, Neurosciences, Sleep Research, Adult, Brain, Cognition, Gray Matter, Humans, Magnetic Resonance Imaging, Middle Aged, Prospective Studies, Sleep, White Matter, aging, cognition, gray matter, sleep, white matter, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Neurology & Neurosurgery
Abstract

To examine the association between sleep duration trajectories over 28 years and measures of cognition, gray matter volume, and white matter microstructure. We hypothesize that consistently meeting sleep guidelines that recommend at least 7 hours of sleep per night will be associated with better cognition, greater gray matter volumes, higher fractional anisotropy, and lower radial diffusivity values. We studied 613 participants (age 42.3 ± 5.03 years at baseline) who self-reported sleep duration at five time points between 1985 and 2013, and who had cognitive testing and magnetic resonance imaging administered at a single timepoint between 2012 and 2016. We applied latent class growth analysis to estimate membership into trajectory groups based on self-reported sleep duration over time. Analysis of gray matter volumes was carried out using FSL Voxel-Based-Morphometry and white matter microstructure using Tract Based Spatial Statistics. We assessed group differences in cognitive and MRI outcomes using nonparametric permutation testing. Latent class growth analysis identified four trajectory groups, with an average sleep duration of 5.4 ± 0.2 hours (5%, N = 29), 6.2 ± 0.3 hours (37%, N = 228), 7.0 ± 0.2 hours (45%, N = 278), and 7.9 ± 0.3 hours (13%, N = 78). No differences in cognition, gray matter, and white matter measures were detected between groups. Our null findings suggest that current sleep guidelines that recommend at least 7 hours of sleep per night may not be supported in relation to an association between sleep patterns and cognitive function or brain structure.

Published
2020

11. Association of anthropometry and weight change with risk of dementia and its major subtypes: A meta‐analysis consisting 2.8 million adults with 57 294 cases of dementia

Author

Lee, Crystal ManYing, Woodward, Mark, Batty, G David, Beiser, Alexa S, Bell, Steven, Berr, Claudine, Bjertness, Espen, Chalmers, John, Clarke, Robert, Dartigues, Jean‐Francois, Davis‐Plourde, Kendra, Debette, Stéphanie, Di Angelantonio, Emanuele, Feart, Catherine, Frikke‐Schmidt, Ruth, Gregson, John, Haan, Mary N, Hassing, Linda B, Hayden, Kathleen M, Hoevenaar‐Blom, Marieke P, Kaprio, Jaakko, Kivimaki, Mika, Lappas, Georgios, Larson, Eric B, LeBlanc, Erin S, Lee, Anne, Lui, Li‐Yung, van Charante, Eric P Moll, Ninomiya, Toshiharu, Nordestgaard, Liv Tybjærg, Ohara, Tomoyuki, Ohkuma, Toshiaki, Palviainen, Teemu, Peres, Karine, Peters, Ruth, Qizilbash, Nawab, Richard, Edo, Rosengren, Annika, Seshadri, Sudha, Shipley, Martin, Singh‐Manoux, Archana, Strand, Bjorn Heine, Gool, Willem A, Vuoksimaa, Eero, Yaffe, Kristine, and Huxley, Rachel R

Subjects
Biomedical and Clinical Sciences, Nutrition and Dietetics, Health Sciences, Neurosciences, Dementia, Acquired Cognitive Impairment, Clinical Research, Nutrition, Neurodegenerative, Rare Diseases, Brain Disorders, Prevention, Aging, Obesity, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), 2.1 Biological and endogenous factors, Aetiology, Neurological, Cardiovascular, Adult, Aged, Anthropometry, Body Mass Index, Body Size, Body Weight, Dementia, Vascular, Female, Humans, Male, Middle Aged, Risk Factors, Thinness, Waist Circumference, Weight Gain, Weight Loss, Medical and Health Sciences, Psychology and Cognitive Sciences, Endocrinology & Metabolism, Biomedical and clinical sciences, Health sciences, Psychology
Abstract

Uncertainty exists regarding the relation of body size and weight change with dementia risk. As populations continue to age and the global obesity epidemic shows no sign of waning, reliable quantification of such associations is important. We examined the relationship of body mass index, waist circumference, and annual percent weight change with risk of dementia and its subtypes by pooling data from 19 prospective cohort studies and four clinical trials using meta-analysis. Compared with body mass index-defined lower-normal weight (18.5-22.4 kg/m2 ), the risk of all-cause dementia was higher among underweight individuals but lower among those with upper-normal (22.5-24.9 kg/m2 ) levels. Obesity was associated with higher risk in vascular dementia. Similarly, relative to the lowest fifth of waist circumference, those in the highest fifth had nonsignificant higher vascular dementia risk. Weight loss was associated with higher all-cause dementia risk relative to weight maintenance. Weight gain was weakly associated with higher vascular dementia risk. The relationship between body size, weight change, and dementia is complex and exhibits non-linear associations depending on dementia subtype under scrutiny. Weight loss was associated with an elevated risk most likely due to reverse causality and/or pathophysiological changes in the brain, although the latter remains speculative.

Published
2020

13. Relation between 20-year income volatility and brain health in midlife: The CARDIA study.

Author

Grasset, Leslie, Glymour, M Maria, Elfassy, Tali, Swift, Samuel L, Yaffe, Kristine, Singh-Manoux, Archana, and Zeki Al Hazzouri, Adina

Subjects
Biomedical and Clinical Sciences, Neurosciences, Clinical Sciences, Aging, Behavioral and Social Science, Clinical Research, Basic Behavioral and Social Science, Brain Disorders, Adult, Black or African American, Brain, Cognition, Cohort Studies, Female, Humans, Income, Longitudinal Studies, Magnetic Resonance Imaging, Male, Middle Aged, Prospective Studies, White People, Cognitive Sciences, Neurology & Neurosurgery, Clinical sciences
Abstract

ObjectiveIncome volatility presents a growing public health threat. To our knowledge, no previous study examined the relationship among income volatility, cognitive function, and brain integrity.MethodsWe studied 3,287 participants aged 23-35 years in 1990 from the Coronary Artery Risk Development in Young Adults prospective cohort study. Income volatility data were created using income data collected from 1990 to 2010 and defined as SD of percent change in income and number of income drops ≥25% (categorized as 0, 1, or 2+). In 2010, cognitive tests (n = 3,287) and brain scans (n = 716) were obtained.ResultsAfter covariate adjustment, higher income volatility was associated with worse performance on processing speed (β = -1.09, 95% confidence interval [CI] -1.73 to -0.44) and executive functioning (β = 2.53, 95% CI 0.60-4.50) but not on verbal memory (β = -0.02, 95% CI -0.16 to 0.11). Similarly, additional income drops were associated with worse performance on processing speed and executive functioning. Higher income volatility and more income drops were also associated with worse microstructural integrity of total brain and total white matter. All findings were similar when restricted to those with high education, suggesting reverse causation may not explain these findings.ConclusionIncome volatility over a 20-year period of formative earning years was associated with worse cognitive function and brain integrity in midlife.

Published
2019

20. Integrating large-scale neuroimaging research datasets: Harmonisation of white matter hyperintensity measurements across Whitehall and UK Biobank datasets

Author

Bordin, Valentina, Bertani, Ilaria, Mattioli, Irene, Sundaresan, Vaanathi, McCarthy, Paul, Suri, Sana, Zsoldos, Enikő, Filippini, Nicola, Mahmood, Abda, Melazzini, Luca, Laganà, Maria Marcella, Zamboni, Giovanna, Singh-Manoux, Archana, Kivimäki, Mika, Ebmeier, Klaus P, Baselli, Giuseppe, Jenkinson, Mark, Mackay, Clare E, Duff, Eugene P, and Griffanti, Ludovica

Published
2021
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34. Association of sleep duration at age 50, 60, and 70 years with risk of multimorbidity in the UK: 25-year follow-up of the Whitehall II cohort study

Author

Sabia, Séverine, Dugravot, Aline, Léger, Damien, Ben Hassen, Céline, Kivimaki, Mika, and Singh-Manoux, Archana

Subjects
Aged -- Health aspects, Chronic diseases -- Risk factors, Comorbidity -- Risk factors, Sleep -- Health aspects -- Evaluation, Biological sciences
Abstract

Background Sleep duration has been shown to be associated with individual chronic diseases but its association with multimorbidity, common in older adults, remains poorly understood. We examined whether sleep duration is associated with incidence of a first chronic disease, subsequent multimorbidity and mortality using data spanning 25 years. Methods and findings Data were drawn from the prospective Whitehall II cohort study, established in 1985 on 10,308 persons employed in the London offices of the British civil service. Self-reported sleep duration was measured 6 times between 1985 and 2016, and data on sleep duration was extracted at age 50 (mean age (standard deviation) = 50.6 (2.6)), 60 (60.3 (2.2)), and 70 (69.2 (1.9)). Incidence of multimorbidity was defined as having 2 or more of 13 chronic diseases, follow-up up to March 2019. Cox regression, separate analyses at each age, was used to examine associations of sleep duration at age 50, 60, and 70 with incident multimorbidity. Multistate models were used to examine the association of sleep duration at age 50 with onset of a first chronic disease, progression to incident multimorbidity, and death. Analyses were adjusted for sociodemographic, behavioral, and health-related factors. A total of 7,864 (32.5% women) participants free of multimorbidity had data on sleep duration at age 50; 544 (6.9%) reported sleeping [less than or equal to]5 hours, 2,562 (32.6%) 6 hours, 3,589 (45.6%) 7 hours, 1,092 (13.9%) 8 hours, and 77 (1.0%) [greater than or equal to]9 hours. Compared to 7-hour sleep, sleep duration [less than or equal to]5 hours was associated with higher multimorbidity risk (hazard ratio: 1.30, 95% confidence interval = 1.12 to 1.50; p < 0.001). This was also the case for short sleep duration at age 60 (1.32, 1.13 to 1.55; p < 0.001) and 70 (1.40, 1.16 to 1.68; p < 0.001). Sleep duration [greater than or equal to]9 hours at age 60 (1.54, 1.15 to 2.06; p = 0.003) and 70 (1.51, 1.10 to 2.08; p = 0.01) but not 50 (1.39, 0.98 to 1.96; p = 0.07) was associated with incident multimorbidity. Among 7,217 participants free of chronic disease at age 50 (mean follow-up = 25.2 years), 4,446 developed a first chronic disease, 2,297 progressed to multimorbidity, and 787 subsequently died. Compared to 7-hour sleep, sleeping [less than or equal to]5 hours at age 50 was associated with an increased risk of a first chronic disease (1.20, 1.06 to 1.35; p = 0.003) and, among those who developed a first disease, with subsequent multimorbidity (1.21, 1.03 to 1.42; p = 0.02). Sleep duration [greater than or equal to]9 hours was not associated with these transitions. No association was found between sleep duration and mortality among those with existing chronic diseases. The study limitations include the small number of cases in the long sleep category, not allowing conclusions to be drawn for this category, the self-reported nature of sleep data, the potential for reverse causality that could arise from undiagnosed conditions at sleep measures, and the small proportion of non-white participants, limiting generalization of findings. Conclusions In this study, we observed short sleep duration to be associated with risk of chronic disease and subsequent multimorbidity but not with progression to death. There was no robust evidence of an increased risk of chronic disease among those with long sleep duration at age 50. Our findings suggest an association between short sleep duration and multimorbidity., Author(s): Séverine Sabia 1,2,*, Aline Dugravot 1, Damien Léger 3,4, Céline Ben Hassen 1, Mika Kivimaki 2,5, Archana Singh-Manoux 1,2 Introduction Approximately one third of human life is devoted to [...]

Published
2022
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36. Long working hours and change in body weight: analysis of individual-participant data from 19 cohort studies

Author

Virtanen, Marianna, Jokela, Markus, Lallukka, Tea, Magnusson Hanson, Linda, Pentti, Jaana, Nyberg, Solja T., Alfredsson, Lars, Batty, G. David, Casini, Annalisa, Clays, Els, DeBacquer, Dirk, Ervasti, Jenni, Fransson, Eleonor, Halonen, Jaana I., Head, Jenny, Kittel, France, Knutsson, Anders, Leineweber, Constanze, Nordin, Maria, Oksanen, Tuula, Pietiläinen, Olli, Rahkonen, Ossi, Salo, Paula, Singh-Manoux, Archana, Stenholm, Sari, Suominen, Sakari B., Theorell, Töres, Vahtera, Jussi, Westerholm, Peter, Westerlund, Hugo, and Kivimäki, Mika

Published
2020
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41. Dementia prevention, intervention, and care: 2024 report of the Lancetstanding Commission

Author

Livingston, Gill, Huntley, Jonathan, Liu, Kathy Y, Costafreda, Sergi G, Selbæk, Geir, Alladi, Suvarna, Ames, David, Banerjee, Sube, Burns, Alistair, Brayne, Carol, Fox, Nick C, Ferri, Cleusa P, Gitlin, Laura N, Howard, Robert, Kales, Helen C, Kivimäki, Mika, Larson, Eric B, Nakasujja, Noeline, Rockwood, Kenneth, Samus, Quincy, Shirai, Kokoro, Singh-Manoux, Archana, Schneider, Lon S, Walsh, Sebastian, Yao, Yao, Sommerlad, Andrew, and Mukadam, Naaheed

Published
2024
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44. The relationships between hippocampal cerebrovascular reactivity, hippocampal volume, and episodic memory in healthy ageing

Author

Wang, Congxiyu, primary, Jobbins, Lucy, additional, Reid, Graham, additional, Hobden, Georgina, additional, Mackay, Clare, additional, Ebmeier, Klaus P, additional, Rieger, Sebastian, additional, Patel, Raihaan, additional, Kivimäki, Mika, additional, Singh‐Manoux, Archana, additional, Bulte, Daniel, additional, and Suri, Sana, additional

Published
2023
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45. Risk Prediction of Dementia in Middle‐aged and Older Adults: The Dementia Risk Prediction Pooling (DRPP) Consortium

Author

Allen, Norrina, primary, Krefman, Amy, additional, Stephan, John, additional, Yu, Jingzhi, additional, Carolan, Padraig, additional, Sedaghat, Sanaz, additional, Mansolf, Maxwell, additional, Soumare, Aicha, additional, Gross, Alden L., additional, Aiello, Allison, additional, Singh‐Manoux, Archana, additional, Ikram, M. Arfan, additional, Helmer, Catherine, additional, Tzourio, Christophe, additional, Satizabal, Claudia L., additional, Levine, Deborah A, additional, Lloyd‐Jones, Donald, additional, Briceno, Emily M, additional, Sorond, Farzaneh, additional, Wolters, Frank J., additional, Himali, Jayandra Jung, additional, Launer, Lenore J J., additional, Zhao, Lihui, additional, Lopez, Oscar L., additional, Debette, Stéphanie, additional, Seshadri, Sudha, additional, Judd, Suzanne E, additional, Hughes, Tim M., additional, Gudnason, Vilmundur, additional, and Scholtens, Denise, additional

Published
2023
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46. Prediction of Dementia Using Machine Learning Methods within a Large Pooled Consortia: The Dementia Risk Prediction Pooling (DRPP) Consortium

Author

Yu, Jingzhi, primary, Stephan, John, additional, Krefman, Amy, additional, Carolan, Padraig, additional, Sedaghat, Sanaz, additional, Mansolf, Maxwell, additional, Soumare, Aicha, additional, Gross, Alden L., additional, Aiello, Allison, additional, Singh‐Manoux, Archana, additional, Ikram, M. Arfan, additional, Helmer, Catherine, additional, Tzourio, Christophe, additional, Satizabal, Claudia L., additional, Levine, Deborah A, additional, Lloyd‐Jones, Donald, additional, Briceno, Emily M, additional, Sorond, Farzaneh, additional, Wolters, Frank J., additional, Himali, Jayandra Jung, additional, Launer, Lenore J J., additional, Zhao, Lihui, additional, Lopez, Oscar L., additional, Seshadri, Sudha, additional, Debette, Stéphanie, additional, Judd, Suzanne E, additional, Hughes, Tim M., additional, Gudnason, Vilmundur, additional, Scholtens, Denise, additional, and Allen, Norrina, additional

Published
2023
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49. Long working hours and depressive symptoms : systematic review and meta-analysis of published studies and unpublished individual participant data

Author

Virtanen, Marianna, Jokela, Markus, Madsen, Ida EH, Hanson, Linda L Magnusson, Lallukka, Tea, Nyberg, Solja T, Alfredsson, Lars, Batty, G David, Bjorner, Jakob B, Borritz, Marianne, Burr, Hermann, Dragano, Nico, Erbel, Raimund, Ferrie, Jane E, Heikkilä, Katriina, Knutsson, Anders, Koskenvuo, Markku, Lahelma, Eero, Nielsen, Martin L, Oksanen, Tuula, Pejtersen, Jan H, Pentti, Jaana, Rahkonen, Ossi, Rugulies, Reiner, Salo, Paula, Schupp, Jürgen, Shipley, Martin J, Siegrist, Johannes, Singh-Manoux, Archana, Suominen, Sakari B, Theorell, Töres, Vahtera, Jussi, Wagner, Gert G, Wang, Jian Li, Yiengprugsawan, Vasoontara, Westerlund, Hugo, and Kivimäki, Mika

Published
2018

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