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1. Evaluation of the Implementation and Effectiveness of Community-Based Brain-Computer Interface Cognitive Group Training in Healthy Community-Dwelling Older Adults: Randomized Controlled Implementation Trial

Author: Yeo, Pei Shi, Nguyen, Tu Ngoc, Ng, Mary Pei Ern, Choo, Robin Wai Munn, Yap, Philip Lin Kiat, Ng, Tze Pin, and Wee, Shiou Liang
Subjects: Medicine
Abstract: BackgroundCognitive training can improve cognition in healthy older adults. ObjectiveThe objectives are to evaluate the implementation of community-based computerized cognitive training (CCT) and its effectiveness on cognition, gait, and balance in healthy older adults. MethodsA single-blind randomized controlled trial with baseline and follow-up assessments was conducted at two community centers in Singapore. Healthy community-dwelling adults aged 55 years and older participated in a 10-week CCT program with 2-hour instructor-led group classes twice a week. Participants used a mobile app to play games targeting attention, memory, decision making, visuospatial abilities, and cognitive flexibility. Implementation was assessed at the participant, provider, and community level (eg, reach, implementation, and facilitators and barriers). Effectiveness measures were the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS), Color Trails Test 2 (CTT-2), Berg Balance Scale, and GAITRite walkway measures (single and dual task gait speed, dual task cost, and single and dual task gait variability index [GVI]). ResultsA total of 94 healthy community-dwelling adults participated in the CCT program (mean age 68.8 [SD 6.3] years). Implementation measures revealed high reach (125/155, 80.6%) and moderate adherence but poor penetration of sedentary older adults (43/125, 34.4%). The effectiveness data were based on intention-to-treat (ITT) and per-protocol (PP) analysis. In the ITT analysis, single task GVI increased (b=2.32, P=.02, 95% CI [0.30 to 4.35]) and RBANS list recognition subtest deteriorated (b=–0.57, P=.01, 95% CI [–1.00 to –0.14]) in both groups. In the PP analysis, time taken to complete CTT-2 (b=–13.5, P=.01, 95% CI [–23.95 to –3.14]; Cohen d effect size = 0.285) was faster in the intervention group. Single task gait speed was not statistically significantly maintained in the intervention group (b=5.38, P=.06, 95% CI [–0.30 to 11.36]) and declined in the control group (Cohen d effect size = 0.414). PP analyses also showed interaction terms for RBANS list recall subtest (b=–0.36, P=.08, 95% CI [–0.75 to 0.04]) and visuospatial domain (b=0.46, P=.08, 95% CI [–0.05 to 0.96]) that were not statistically significant. ConclusionsCCT can be implemented in community settings to improve attention and executive function among healthy older adults. Findings help to identify suitable healthy aging programs that can be implemented on a larger scale within communities. Trial RegistrationClinicalTrials.gov NCT04439591; https://clinicaltrials.gov/ct2/show/NCT04439591
Published: 2021
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2. Early Detection of Mild Cognitive Impairment With In-Home Sensors to Monitor Behavior Patterns in Community-Dwelling Senior Citizens in Singapore: Cross-Sectional Feasibility Study

Author: Rawtaer, Iris, Mahendran, Rathi, Kua, Ee Heok, Tan, Hwee Pink, Tan, Hwee Xian, Lee, Tih-Shih, and Ng, Tze Pin
Subjects: Computer applications to medicine. Medical informatics, R858-859.7, Public aspects of medicine, RA1-1270
Abstract: BackgroundDementia is a global epidemic and incurs substantial burden on the affected families and the health care system. A window of opportunity for intervention is the predementia stage known as mild cognitive impairment (MCI). Individuals often present to services late in the course of their disease and more needs to be done for early detection; sensor technology is a potential method for detection. ObjectiveThe aim of this cross-sectional study was to establish the feasibility and acceptability of utilizing sensors in the homes of senior citizens to detect changes in behaviors unobtrusively. MethodsWe recruited 59 community-dwelling seniors (aged >65 years who live alone) with and without MCI and observed them over the course of 2 months. The frequency of forgetfulness was monitored by tagging personal items and tracking missed doses of medication. Activities such as step count, time spent away from home, television use, sleep duration, and quality were tracked with passive infrared motion sensors, smart plugs, bed sensors, and a wearable activity band. Measures of cognition, depression, sleep, and social connectedness were also administered. ResultsOf the 49 participants who completed the study, 28 had MCI and 21 had healthy cognition (HC). Frequencies of various sensor-derived behavior metrics were computed and compared between MCI and HC groups. MCI participants were less active than their HC counterparts and had more sleep interruptions per night. MCI participants had forgotten their medications more times per month compared with HC participants. The sensor system was acceptable to over 80% (40/49) of study participants, with many requesting for permanent installation of the system. ConclusionsWe demonstrated that it was both feasible and acceptable to set up these sensors in the community and unobtrusively collect data. Further studies evaluating such digital biomarkers in the homes in the community are needed to improve the ecological validity of sensor technology. We need to refine the system to yield more clinically impactful information.
Published: 2020
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3. Effectiveness of community-based Baduanjin exercise intervention for older adults with varying frailty status: a randomized controlled trial

Author: Tou, Nien Xiang, Goh, Siew Fong, Harding, Susana, Tsao, Mary Ann, Ng, Tze Pin, and Wee, Shiou-Liang
Published: 2024
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4. Gut metagenomes of Asian octogenarians reveal metabolic potential expansion and distinct microbial species associated with aging phenotypes

Author: Ravikrishnan, Aarthi, Wijaya, Indrik, Png, Eileen, Chng, Kern Rei, Ho, Eliza Xin Pei, Ng, Amanda Hui Qi, Mohamed Naim, Ahmad Nazri, Gounot, Jean-Sebastien, Guan, Shou Ping, Hanqing, Jasinda Lee, Guan, Lihuan, Li, Chenhao, Koh, Jia Yu, de Sessions, Paola Florez, Koh, Woon-Puay, Feng, Lei, Ng, Tze Pin, Larbi, Anis, Maier, Andrea B., Kennedy, Brian K., and Nagarajan, Niranjan
Published: 2024
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5. Curcumin-rich curry consumption and life expectancy: Singapore longitudinal ageing study

Author: Ng, Tze Pin, Nyunt, Shwe Zin, Gao, Qi, Gwee, Xinyi, Chua, Denise Qian Ling, and Yap, Keng Bee
Published: 2024
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6. Dose‐response relationship between late‐life physical activity and incident dementia: A pooled analysis of 10 cohort studies of memory in an international consortium

Author: Wu, Wanqing, Ding, Ding, Zhao, Qianhua, Xiao, Zhenxu, Luo, Jianfeng, Ganguli, Mary, Hughes, Tiffany F, Jacobsen, Erin, Haan, Mary N, Dang, Kristine, Lima‐Costa, Maria Fernanda, Blay, Sergio Luis, Castro‐Costa, Erico, Ng, Tze Pin, Gwee, Xinyi, Gao, Qi, Gureje, Oye, Ojagbemi, Akin, Bello, Toyin, Shahar, Suzana, Ludin, Arimi Fitri Mat, Rivan, Nurul Fatin Malek, Scarmeas, Nikolaos, Anastasiou, Costas A, Yannakoulia, Mary, Brodaty, Henry, Crawford, John D, Lipton, Richard B, Derby, Carol A, Katz, Mindy J, Lipnicki, Darren M, Sachdev, Perminder S, and Consortium, for Cohort Studies of Memory in an International
Subjects: Biomedical and Clinical Sciences, Clinical Sciences, Acquired Cognitive Impairment, Aging, Rehabilitation, Clinical Research, Dementia, Prevention, Brain Disorders, Neurological, Humans, Aged, Cohort Studies, Proportional Hazards Models, Risk Factors, cohort, dementia, dose-response, physical activity, pooled analysis, population-based, for Cohort Studies of Memory in an International Consortium, Neurosciences, Geriatrics, Clinical sciences, Biological psychology
Abstract: IntroductionThough consistent evidence suggests that physical activity may delay dementia onset, the duration and amount of activity required remains unclear.MethodsWe harmonized longitudinal data of 11,988 participants from 10 cohorts in eight countries to examine the dose-response relationship between late-life physical activity and incident dementia among older adults.ResultsUsing no physical activity as a reference, dementia risk decreased with duration of physical activity up to 3.1 to 6.0 hours/week (hazard ratio [HR] 0.88, 95% confidence interval [CI] 0.67 to 1.15 for 0.1 to 3.0 hours/week; HR 0.68, 95% CI 0.52 to 0.89 for 3.1 to 6.0 hours/week), but plateaued with higher duration. For the amount of physical activity, a similar pattern of dose-response curve was observed, with an inflection point of 9.1 to 18.0 metabolic equivalent value (MET)-hours/week (HR 0.92, 95% CI 0.70 to 1.22 for 0.1 to 9.0 MET-hours/week; HR 0.70, 95% CI 0.53 to 0.93 for 9.1 to 18.0 MET-hours/week).DiscussionThis cross-national analysis suggests that performing 3.1 to 6.0 hours of physical activity and expending 9.1 to 18.0/MET-hours of energy per week may reduce dementia risk.
Published: 2023

7. Worldwide trends in diabetes prevalence and treatment from 1990 to 2022: a pooled analysis of 1108 population-representative studies with 141 million participants

Author: Zhou, Bin, Rayner, Archie W, Gregg, Edward W, Sheffer, Kate E, Carrillo-Larco, Rodrigo M, Bennett, James E, Shaw, Jonathan E, Paciorek, Christopher J, Singleton, Rosie K, Barradas Pires, Ana, Stevens, Gretchen A, Danaei, Goodarz, Lhoste, Victor PF, Phelps, Nowell H, Heap, Rachel A, Jain, Lakshya, D'Ailhaud De Brisis, Yse, Galeazzi, Agnese, Kengne, Andre P, Mishra, Anu, Ikeda, Nayu, Lin, Hsien-Ho, Aguilar-Salinas, Carlos A, Anjana, Ranjit Mohan, Ben Romdhane, Habiba, Davletov, Kairat, Ganapathy, Shubash, Heidemann, Christin, Khader, Yousef Saleh, Khang, Young-Ho, Laxmaiah, Avula, Mbanya, Jean Claude N, Mohan, Viswanathan, Narayan, KM Venkat, Pavkov, Meda E, Sobngwi, Eugène, Wade, Alisha N, Younger-Coleman, Novie O, Zdrojewski, Tomasz, Abarca-Gómez, Leandra, Abbasi-Kangevari, Mohsen, Abdul Rahim, Hanan F, Abu-Rmeileh, Niveen M, Adambekov, Shalkar, Adams, Robert J, Aekplakorn, Wichai, Afzal, Shoaib, Agdeppa, Imelda A, Aghazadeh-Attari, Javad, Agyemang, Charles, Ahmad, Noor Ani, Ahmadi, Ali, Ahmadi, Naser, Ahmadi, Nastaran, Ahmed, Soheir H, Ahrens, Wolfgang, Ajlouni, Kamel, Al-Hamli, Sarah F, Al-Hinai, Halima, Al-Lawati, Jawad A, Al Asfoor, Deena, Alarouj, Monira, AlBuhairan, Fadia, AlDhukair, Shahla, Ali, Mohamed M, Ali, Mohammed K, Alieva, Anna V, Alinezhad, Farbod, Alkandari, Abdullah, Alkerwi, Ala'a, Aly, Eman, Amarapurkar, Deepak N, Andersen, Lars Bo, Anderssen, Sigmund A, Andrade, Dolores S, Ansari-Moghaddam, Alireza, Aounallah-Skhiri, Hajer, Araújo, Joana, Aris, Tahir, Arku, Raphael E, Arlappa, Nimmathota, Aryal, Krishna K, Aspelund, Thor, Assah, Felix K, Assembekov, Batyrbek, Au Yeung, Shiu Lun, Auvinen, Juha, Avdičová, Mária, Azad, Kishwar, Azevedo, Ana, Azimi-Nezhad, Mohsen, Azizi, Fereidoun, Bacopoulou, Flora, Balakrishna, Nagalla, Balanova, Yulia, Bamoshmoosh, Mohamed, Banach, Maciej, Bandosz, Piotr, Banegas, José R, Barbagallo, Carlo M, Barcelo, Alberto, Baretić, Maja, Barrera, Lena, Barreto, Marta, Basit, Abdul, Batieha, Anwar M, Batista, Aline P, Baur, Louise A, Belavendra, Antonisamy, Benedek, Theodora, Benet, Mikhail, Benzeval, Michaela, Berkinbayev, Salim, Bernabe-Ortiz, Antonio, Berrios Carrasola, Ximena, Bettiol, Heloísa, Beybey, Augustin F, Bhargava, Santosh K, Bi, Yufang, Bika Lele, Elysée Claude, Bikbov, Mukharram M, Bista, Bihungum, Bjerregaard, Peter, Bjertness, Espen, Bjertness, Marius B, Björkelund, Cecilia, Bloch, Katia V, Blokstra, Anneke, Bobak, Martin, Boehm, Bernhard O, Boggia, Jose G, Boissonnet, Carlos P, Bojesen, Stig E, Bonaccio, Marialaura, Bonilla-Vargas, Alice, Borghs, Herman, Botomba, Steve, Bovet, Pascal, Brajkovich, Imperia, Brenner, Hermann, Brewster, Lizzy M, Brian, Garry R, Briceño, Yajaira, Brito, Miguel, Bueno, Gloria, Bugge, Anna, Buntinx, Frank, Cabrera de León, Antonio, Caixeta, Roberta B, Can, Günay, Cândido, Ana Paula C, Capanzana, Mario V, Čapková, Naděžda, Capuano, Eduardo, Capuano, Rocco, Capuano, Vincenzo, Cardoso, Viviane C, Carlsson, Axel C, Casanueva, Felipe F, Censi, Laura, Cervantes–Loaiza, Marvin, Chadjigeorgiou, Charalambos A, Chamnan, Parinya, Chamukuttan, Snehalatha, Chan, Queenie, Charchar, Fadi J, Chaturvedi, Nish, Chen, Chien-Jen, Chen, Huashuai, Chen, Long-Sheng, Cheng, Ching-Yu, Cheraghian, Bahman, Chetrit, Angela, Chiou, Shu-Ti, Chirlaque, María-Dolores, Chudek, Jerzy, Cifkova, Renata, Cirillo, Massimo, Claessens, Frank, Clarke, Janine, Cohen, Emmanuel, Concin, Hans, Cooper, Cyrus, Cosmin, Cojocaru R, Costanzo, Simona, Cowan, Melanie J, Cowell, Chris, Crampin, Amelia C, Crujeiras, Ana B, Cruz, Juan J, Cureau, Felipe V, Cuschieri, Sarah, D'Arrigo, Graziella, d'Orsi, Eleonora, da Silva-Ferreira, Haroldo, Dallongeville, Jean, Damasceno, Albertino, Dankner, Rachel, Dastgiri, Saeed, Dauchet, Luc, De Curtis, Amalia, de Gaetano, Giovanni, De Henauw, Stefaan, De Ridder, David, Deepa, Mohan, DeGennaro, Vincent Jr, Demarest, Stefaan, Dennison, Elaine, Deschamps, Valérie, Dhimal, Meghnath, Dika, Zivka, Djalalinia, Shirin, Donfrancesco, Chiara, Dorobantu, Maria, Dragano, Nico, Drygas, Wojciech, Du, Shufa, Du, Yong, Duante, Charmaine A, Duboz, Priscilla, Duda, Rosemary B, Dushpanova, Anar, Dzerve, Vilnis, Dziankowska-Zaborszczyk, Elzbieta, Ebrahimi, Narges, Eddie, Ricky, Eftekhar, Ebrahim, Efthymiou, Vasiliki, Egbagbe, Eruke E, Eggertsen, Robert, Eghtesad, Sareh, Ejembi, Clara Ladi, El-Khateeb, Mohammad, El Ati, Jalila, Eldemire-Shearer, Denise, Elosua, Roberto, Enang, Ofem, Erasmus, Rajiv T, Erem, Cihangir, Ergor, Gul, Eriksen, Louise, Eriksson, Johan G, Esmaeili, Ali, Evans, Roger G, Fagherazzi, Guy, Fahimfar, Noushin, Fakhradiyev, Ildar, Fakhretdinova, Albina A, Fall, Caroline H, Faramarzi, Elnaz, Farjam, Mojtaba, Farzadfar, Farshad, Farzi, Yosef, Fattahi, Mohammad Reza, Fawwad, Asher, Felix-Redondo, Francisco J, Ferguson, Trevor S, Fernández-Bergés, Daniel, Fernando, Desha R, Ferrao, Thomas, Ferrari, Marika, Ferrario, Marco M, Ferreccio, Catterina, Ferrer, Eldridge, Feskens, Edith JM, Fink, Günther, Flood, David, Forsner, Maria, Fosse-Edorh, Sandrine, Fottrell, Edward F, Fouad, Heba M, Francis, Damian K, Frontera, Guillermo, Fujiati, Isti I, Fumihiko, Matsuda, Furusawa, Takuro, Gaciong, Zbigniew, Galvano, Fabio, Garnett, Sarah P, Gaspoz, Jean-Michel, Gasull, Magda, Gazzinelli, Andrea, Gehring, Ulrike, Ghaderi, Ebrahim, Ghamari, Seyyed-Hadi, Ghanbari, Ali, Ghasemi, Erfan, Gheorghe-Fronea, Oana-Florentina, Ghimire, Anup, Gialluisi, Alessandro, Giampaoli, Simona, Gianfagna, Francesco, Gill, Tiffany K, Giovannelli, Jonathan, Gironella, Glen, Giwercman, Aleksander, Goldberg, Marcel, Goltzman, David, Gomula, Aleksandra, Gonçalves, Helen, Gonçalves, Mauer, Gonzalez-Chica, David A, Gonzalez-Gross, Marcela, González-Rivas, Juan P, Gonzalez, Angel R, Goto, Atsushi, Gottrand, Frederic, Grafnetter, Dušan, Grammatikopoulou, Maria G, Grant, Andriene, Grimsgaard, Anne Sameline, Grodzicki, Tomasz, Grøntved, Anders, Grosso, Giuseppe, Gu, Dongfeng, Gudnason, Vilmundur, Guerrero, Ramiro, Guessous, Idris, Gujral, Unjali P, Gupta, Rajeev, Gutierrez, Laura, Gwee, Xinyi, Ha, Seongjun, Haghshenas, Rosa, Hakimi, Hamid, Hambleton, Ian R, Hamzeh, Behrooz, Hange, Dominique, Hantunen, Sari, Hao, Jie, Harooni, Javad, Hashemi-Shahri, Seyed Mohammad, Hata, Jun, Hayes, Alison J, He, Jiang, Henrique, Rafael dos Santos, Henriques, Ana, Herrala, Sauli, Herzig, Karl-Heinz, Heshmat, Ramin, Hill, Allan G, Ho, Sai Yin, Holdsworth, Michelle, Homayounfar, Reza, Hopman, Wilma M, Horimoto, Andrea RVR, Hormiga, Claudia, Horta, Bernardo L, Houti, Leila, Howitt, Christina, Htay, Thein Thein, Htet, Aung Soe, Htike, Maung Maung Than, Huerta, José María, Huhtaniemi, Ilpo Tapani, Huiart, Laetitia, Huisman, Martijn, Hunsberger, Monica, Husseini, Abdullatif, Huybrechts, Inge, Iacoviello, Licia, Iakupova, Ellina M, Iannone, Anna G, Ibrahim Wong, Norazizah, Ijoma, Chinwuba, Irazola, Vilma E, Ishida, Takafumi, Islam, Sheikh Mohammed Shariful, Islek, Duygu, Ittermann, Till, Iwasaki, Masanori, Jääskeläinen, Tuija, Jacobs, Jeremy M, Jaddou, Hashem Y, Jadoul, Michel, Jallow, Bakary, James, Kenneth, Jamil, Kazi M, Janus, Edward, Jarvelin, Marjo-Riitta, Jasienska, Grazyna, Jelaković, Ana, Jelaković, Bojan, Jennings, Garry, Jha, Anjani Kumar, Jibo, AM, Jimenez, Ramon O, Jöckel, Karl-Heinz, Jokelainen, Jari J, Jonas, Jost B, Josipović, Josipa, Joukar, Farahnaz, Jóźwiak, Jacek, Kafatos, Anthony, Kajantie, Eero O, Kalmatayeva, Zhanna, Kalter-Leibovici, Ofra, Karakosta, Argyro, Karki, Khem B, Katibeh, Marzieh, Katulanda, Prasad, Kauhanen, Jussi, Kazakbaeva, Gyulli M, Kaze, François F, Ke, Calvin, Keinänen-Kiukaanniemi, Sirkka, Kelishadi, Roya, Keramati, Maryam, Kersting, Mathilde, Khalagi, Kazem, Khaledifar, Arsalan, Khalili, Davood, Kheiri, Bahareh, Kheradmand, Motahareh, Khosravi Farsani, Alireza, Kiechl-Kohlendorfer, Ursula, Kiechl, Sophia J, Kiechl, Stefan, Kim, Hyeon Chang, Kingston, Andrew, Klakk, Heidi, Klanova, Jana, Knoflach, Michael, Kolsteren, Patrick, König, Jürgen, Korpelainen, Raija, Korrovits, Paul, Kos, Jelena, Koskinen, Seppo, Kowlessur, Sudhir, Koziel, Slawomir, Kratzer, Wolfgang, Kriemler, Susi, Kristensen, Peter Lund, Krokstad, Steinar, Kromhout, Daan, Kubinova, Ruzena, Kujala, Urho M, Kulimbet, Mukhtar, Kulothungan, Vaitheeswaran, Kumari, Meena, Kutsenko, Vladimir, Kyobutungi, Catherine, La, Quang Ngoc, Laatikainen, Tiina, Labadarios, Demetre, Lachat, Carl, Laid, Youcef, Lall, Lachmie, Langsted, Anne, Lankila, Tiina, Lanska, Vera, Lappas, Georg, Larijani, Bagher, Latt, Tint Swe, Laurenzi, Martino, Le Coroller, Gwenaëlle, Lee, Jeannette, Lehtimäki, Terho, Lemogoum, Daniel, Leung, Gabriel M, Lim, Charlie, Lim, Wei-Yen, Lima-Costa, M Fernanda, Lin, Yi-Jing, Lind, Lars, Lissner, Lauren, Liu, Liping, Liu, Xiaotian, Lo, Wei-Cheng, Loit, Helle-Mai, Lopez-Garcia, Esther, Lopez, Tania, Lozano, José Eugenio, Luksiene, Dalia, Lundqvist, Annamari, Lunet, Nuno, Lung, Thomas, Lustigová, Michala, Ma, Guansheng, Machado-Coelho, George LL, Machado-Rodrigues, Aristides M, Macia, Enguerran, Macieira, Luisa M, Madar, Ahmed A, Maestre, Gladys E, Maggi, Stefania, Magliano, Dianna J, Magriplis, Emmanuella, Mahasampath, Gowri, Maire, Bernard, Makdisse, Marcia, Makrilakis, Konstantinos, Malekpour, Mohammad-Reza, Malekzadeh, Fatemeh, Malekzadeh, Reza, Malyutina, Sofia, Maniego, Lynell V, Manios, Yannis, Mansour-Ghanaei, Fariborz, Manzato, Enzo, Mapatano, Mala Ali, Marcil, Anie, Mardones, Francisco, Margozzini, Paula, Marques-Vidal, Pedro, Marques, Larissa Pruner, Martorell, Reynaldo, Mascarenhas, Luis P, Masimango Imani, Mannix, Masinaei, Masoud, Masoodi, Shariq R, Mathiesen, Ellisiv B, Mathur, Prashant, Matsha, Tandi E, Mc Donald Posso, Anselmo J, McFarlane, Shelly R, McGarvey, Stephen T, McLean, Scott B, McNulty, Breige A, Mediene Benchekor, Sounnia, Mehlig, Kirsten, Mehrparvar, Amir Houshang, Melgarejo, Jesus D, Méndez, Fabián, Menezes, Ana Maria B, Mereke, Alibek, Meshram, Indrapal I, Meto, Diane T, Michels, Nathalie, Minderico, Cláudia S, Mini, GK, Miquel, Juan Francisco, Miranda, J Jaime, Mirjalili, Mohammad Reza, Mirkopoulou, Daphne, Modesti, Pietro A, Moghaddam, Sahar Saeedi, Mohammad, Kazem, Mohammadi, Mohammad Reza, Mohammadi, Zahra, Mohammadifard, Noushin, Mohammadpourhodki, Reza, Mohd Yusoff, Muhammad Fadhli, Mohebbi, Iraj, Møller, Niels C, Molnár, Dénes, Momenan, Amirabbas, Montenegro Mendoza, Roger A, Moosazadeh, Mahmood, Moradpour, Farhad, Morejon, Alain, Moreno, Luis A, Morgan, Karen, Morin, Suzanne N, Moschonis, George, Moslem, Alireza, Mosquera, Mildrey, Mossakowska, Malgorzata, Mostafa, Aya, Mostafavi, Seyed-Ali, Mota, Eugen, Mota, Jorge, Mota, Maria, Motlagh, Mohammad Esmaeel, Motta, Jorge, Msyamboza, Kelias P, Mu, Thet Thet, Muiesan, Maria L, Munroe, Patricia B, Mursu, Jaakko, Musa, Kamarul Imran, Mustafa, Norlaila, Muyer, Muel Telo MC, Nabipour, Iraj, Nagel, Gabriele, Naidu, Balkish M, Najafi, Farid, Námešná, Jana, Nang, Ei Ei K, Nangia, Vinay B, Naseri, Take, Navarro-Ramírez, Ana J, Neelapaichit, Nareemarn, Nejatizadeh, Azim, Nenko, Ilona, Nervi, Flavio, Ng, Tze Pin, Nguyen, Chung T, Nguyen, Nguyen D, Nguyen, Quang Ngoc, Ni, Michael Y, Nie, Peng, Nieto-Martínez, Ramfis E, Ning, Guang, Ninomiya, Toshiharu, Nishi, Nobuo, Noale, Marianna, Noboa, Oscar A, Noda, Mitsuhiko, Nordestgaard, Børge G, Noto, Davide, Nsour, Mohannad Al, Nuhoğlu, Irfan, Nyirenda, Moffat, O'Neill, Terence W, Oh, Kyungwon, Ohtsuka, Ryutaro, Omar, Mohd Azahadi, Onat, Altan, Ong, Sok King, Onodugo, Obinna, Ordunez, Pedro, Ornelas, Rui, Ortiz, Pedro J, Osmond, Clive, Ostovar, Afshin, Otero, Johanna A, Ottendahl, Charlotte B, Otu, Akaninyene, Owusu-Dabo, Ellis, Pahomova, Elena, Palmieri, Luigi, Pan, Wen-Harn, Panagiotakos, Demosthenes, Panda-Jonas, Songhomitra, Pang, Zengchang, Panza, Francesco, Paoli, Mariela, Park, Suyeon, Parsaeian, Mahboubeh, Patalen, Chona F, Patel, Nikhil D, Pechlaner, Raimund, Pećin, Ivan, Pedro, João M, Peixoto, Sergio Viana, Peltonen, Markku, Pereira, Alexandre C, Pessôa dos Prazeres, Thaliane Mayara, Peykari, Niloofar, Phall, Modou Cheyassin, Pham, Son Thai, Pichardo, Rafael N, Pigeot, Iris, Pikhart, Hynek, Pilav, Aida, Piler, Pavel, Pitakaka, Freda, Piwonska, Aleksandra, Pizarro, Andreia N, Plans-Rubió, Pedro, Plata, Silvia, Popkin, Barry M, Porta, Miquel, Poudyal, Anil, Pourfarzi, Farhad, Pourshams, Akram, Poustchi, Hossein, Prabhakaran, Dorairaj, Pradeepa, Rajendra, Price, Alison J, Price, Jacqueline F, Providencia, Rui, Puder, Jardena J, Puhakka, Soile, Punab, Margus, Qiao, Qing, Qorbani, Mostafa, Quintana, Hedley K, Quoc Bao, Tran, Radisauskas, Ricardas, Rahimikazerooni, Salar, Raitakari, Olli, Ramachandran, Ambady, Ramirez-Zea, Manuel, Ramke, Jacqueline, Ramos, Elisabete, Ramos, Rafel, Rampal, Lekhraj, Rampal, Sanjay, Ramsay, Sheena E, Rangel Reina, Daniel A, Rannan-Eliya, Ravindra P, Rashidi, Mohammad-Mahdi, Redon, Josep, Renner, Jane DP, Reuter, Cézane P, Revilla, Luis, Rezaei, Negar, Rezaianzadeh, Abbas, Rho, Yeunsook, Rigo, Fernando, Riley, Leanne M, Risérus, Ulf, Roa, Reina G, Robinson, Louise, Rodríguez-Anderson, Wendy E, Rodríguez-Artalejo, Fernando, Rodriguez-Perez, María del Cristo, Rodríguez-Villamizar, Laura A, Rodríguez, Andrea Y, Roggenbuck, Ulla, Rohloff, Peter, Rojas-Martinez, Rosalba, Romeo, Elisabetta L, Rosengren, Annika, Roy, Joel GR, Rubinstein, Adolfo, Ruiz-Castell, Maria, Russo, Paola, Rust, Petra, Rutkowski, Marcin, Sabanayagam, Charumathi, Sabbaghi, Hamideh, Sachdev, Harshpal S, Sadjadi, Alireza, Safarpour, Ali Reza, Safi, Sare, Safiri, Saeid, Saghi, Mohammad Hossien, Saidi, Olfa, Sakata, Satoko, Saki, Nader, Šalaj, Sanja, Salanave, Benoit, Salonen, Jukka T, Salvetti, Massimo, Sánchez-Abanto, Jose, Santos, Diana A, Santos, Lèlita C, Santos, Maria Paula, Santos, Rute, Santos, Tamara R, Saramies, Jouko L, Sardinha, Luis B, Sarrafzadegan, Nizal, Sato, Yoko, Saum, Kai-Uwe, Savin, Stefan, Sawada, Norie, Sbaraini, Mariana, Scazufca, Marcia, Schaan, Beatriz D, Schargrodsky, Herman, Scheidt-Nave, Christa, Schipf, Sabine, Schmidt, Amand Floriaan, Schmidt, Börge, 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Published: 2024
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8. General and abdominal adiposity and hypertension in eight world regions: a pooled analysis of 837 population-based studies with 7·5 million participants

Author: Zhou, Bin, Bennett, James E, Wickham, Aidan P, Singleton, Rosie K, Mishra, Anu, Carrillo-Larco, Rodrigo M, Ikeda, Nayu, Jain, Lakshya, Barradas-Pires, Ana, Heap, Rachel A, Lhoste, Victor PF, Sheffer, Kate E, Phelps, Nowell H, Rayner, Archie W, Gregg, Edward W, Woodward, Mark, Stevens, Gretchen A, Iurilli, Maria LC, Danaei, Goodarz, Di Cesare, Mariachiara, Aguilar-Salinas, Carlos A, Ahmad, Noor Ani, Bovet, Pascal, Chen, Zhengming, Damasceno, Albertino, Filippi, Sarah L, Janszky, Imre, Kengne, Andre P, Khang, Young-Ho, Khunti, Kamlesh, Laxmaiah, Avula, Lim, Lee-Ling, Lissner, Lauren, Margozzini, Paula, Mbanya, Jean Claude N, McGarvey, Stephen T, Shaw, Jonathan E, Söderberg, Stefan, Soto-Mota, Luis Adrián, Wang, Junyang, Zaccardi, Francesco, Abarca-Gómez, Leandra, Abbasi-Kangevari, Mohsen, Abdrakhmanova, Shynar, Abdul Ghaffar, Suhaila, Abdul Rahim, Hanan F, Abdurrahmonova, Zulfiya, Abu-Rmeileh, Niveen M, Acosta-Cazares, Benjamin, Adam, Ishag, Adamczyk, Marzena, Aekplakorn, Wichai, Agdeppa, Imelda A, Aghazadeh-Attari, Javad, Agyemang, Charles, Ahmad, Mohamad Hasnan, Ahmadi, Ali, Ahmadi, Naser, Ahmadi, Nastaran, Ahmed, Soheir H, Ahrens, Wolfgang, Aitmurzaeva, Gulmira, Ajlouni, Kamel, Al-Hazzaa, Hazzaa M, Al-Hinai, Halima, Al-Lawati, Jawad A, Al-Raddadi, Rajaa, Al Asfoor, Deena, Al Hourani, Huda M, Alarouj, Monira, AlBuhairan, Fadia, AlDhukair, Shahla, Ali, Mohamed M, Alieva, Anna V, Alkandari, Abdullah, Alkhatib, Buthaina M, Aly, Eman, Amarapurkar, Deepak N, Amiano Etxezarreta, Pilar, Amougou, Norbert, Andersen, Lars Bo, Anderssen, Sigmund A, Androutsos, Odysseas, Anjana, Ranjit Mohan, Ansari-Moghaddam, Alireza, Anufrieva, Elena, Aounallah-Skhiri, Hajer, Aris, Tahir, Arku, Raphael E, Arlappa, Nimmathota, Aryal, Krishna K, Assah, Felix K, Assembekov, Batyrbek, Assunção, Maria Cecília F, Auvinen, Juha, Avdičová, Mária, Azad, Kishwar, Azevedo, Ana, Azimi-Nezhad, Mohsen, Azizi, Fereidoun, Bacopoulou, Flora, Bahijri, Suhad, Bajramovic, Izet, Balakrishna, Nagalla, 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Published: 2024
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9. Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population-representative studies with 222 million children, adolescents, and adults

Author: Phelps, Nowell H, Singleton, Rosie K, Zhou, Bin, Heap, Rachel A, Mishra, Anu, Bennett, James E, Paciorek, Christopher J, Lhoste, Victor PF, Carrillo-Larco, Rodrigo M, Stevens, Gretchen A, Rodriguez-Martinez, Andrea, Bixby, Honor, Bentham, James, Di Cesare, Mariachiara, Danaei, Goodarz, Rayner, Archie W, Barradas-Pires, Ana, Cowan, Melanie J, Savin, Stefan, Riley, Leanne M, Aguilar-Salinas, Carlos A, Baker, Jennifer L, Barkat, Amina, Bhutta, Zulfiqar A, Branca, Francesco, Caixeta, Roberta B, Cuschieri, Sarah, Farzadfar, Farshad, Ganapathy, Shubash, Ikeda, Nayu, Iotova, Violeta, Kengne, Andre P, Khang, Young-Ho, Laxmaiah, Avula, Lin, Hsien-Ho, Ma, Jun, Mbanya, Jean Claude N, Miranda, J Jaime, Pradeepa, Rajendra, Rodríguez-Artalejo, Fernando, Sorić, Maroje, Turley, Maria, Wang, Limin, Webster-Kerr, Karen, Aarestrup, Julie, Abarca-Gómez, Leandra, Abbasi-Kangevari, Mohsen, Abdeen, Ziad A, Abdrakhmanova, Shynar, Abdul Ghaffar, Suhaila, Abdul Rahim, Hanan F, Abdurrahmonova, Zulfiya, Abu-Rmeileh, Niveen M, Abubakar Garba, Jamila, Acosta-Cazares, Benjamin, Adam, Ishag, Adamczyk, Marzena, Adams, Robert J, Adu-Afarwuah, Seth, Aekplakorn, Wichai, Afsana, Kaosar, Afzal, Shoaib, Agbor, Valirie N, Agdeppa, Imelda A, Aghazadeh-Attari, Javad, Ågren, Åsa, Aguenaou, Hassan, Agyemang, Charles, Ahmad, Mohamad Hasnan, Ahmad, Noor Ani, Ahmadi, Ali, Ahmadi, Naser, Ahmadi, Nastaran, Ahmed, Imran, Ahmed, Soheir H, Ahrens, Wolfgang, Aitmurzaeva, Gulmira, Ajlouni, Kamel, Al-Hazzaa, Hazzaa M, Al-Hinai, Halima, Al-Lahou, Badreya, Al-Lawati, Jawad A, Al-Raddadi, Rajaa, Al Asfoor, Deena, Al Hourani, Huda M, Al Qaoud, Nawal M, Alarouj, Monira, AlBuhairan, Fadia, AlDhukair, Shahla, Aldwairji, Maryam A, Alexius, Sylvia, Ali, Mohamed M, Alieva, Anna V, Alkandari, Abdullah, Alkerwi, Ala'a, Alkhatib, Buthaina M, Allin, Kristine, Alomary, Shaker A, Alomirah, Husam F, Alshangiti, Arwa M, Alvarez-Pedrerol, Mar, Aly, Eman, Amarapurkar, Deepak N, Amiano Etxezarreta, Pilar, Amoah, John, Amougou, 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Schröder, Helmut, Schultsz, Constance, Schultz, Gry, Schulze, Matthias B, Schutte, Aletta E, Sebert, Sylvain, Sedaghattalab, Moslem, Selamat, Rusidah, Sember, Vedrana, Sen, Abhijit, Senbanjo, Idowu O, Sepanlou, Sadaf G, Sequera, Guillermo, Serra-Majem, Luis, Servais, Jennifer, Ševčíková, Ľudmila, Sewpaul, Ronel, Shalnova, Svetlana, Shamah-Levy, Teresa, Shamshirgaran, Seyed Morteza, Shanthirani, Coimbatore Subramaniam, Sharafkhah, Maryam, Sharma, Sanjib K, Sharman, Almaz, Shaw, Jonathan E, Shayanrad, Amaneh, Shayesteh, Ali Akbar, Shengelia, Lela, Shi, Zumin, Shibuya, Kenji, Shimizu-Furusawa, Hana, Shimony, Tal, Shiri, Rahman, Shrestha, Namuna, Si-Ramlee, Khairil, Siani, Alfonso, Siantar, Rosalynn, Sibai, Abla M, Sidossis, Labros S, Silitrari, Natalia, Silva, Antonio M, Silva, Caroline Ramos de Moura, Silva, Diego Augusto Santos, Silva, Kelly Samara, Sim, Xueling, Simon, Mary, Simons, Judith, Simons, Leon A, Sjöberg, Agneta, Sjöström, Michael, Skoblina, Elena V, Skoblina, Natalia A, Slazhnyova, Tatyana, Slowikowska-Hilczer, Jolanta, Slusarczyk, Przemysław, Smeeth, Liam, So, Hung-Kwan, Soares, Fernanda Cunha, Sobek, Grzegorz, Sobngwi, Eugène, Sodemann, Morten, Söderberg, Stefan, Soekatri, Moesijanti YE, Soemantri, Agustinus, Sofat, Reecha, Solfrizzi, Vincenzo, Solovieva, Yuliya V, Somi, Mohammad Hossein, Sonestedt, Emily, Song, Yi, Soofi, Sajid, Sørensen, Thorkild IA, Sørgjerd, Elin P, Sossa Jérome, Charles, Soto-Rojas, Victoria E, Soumaré, Aïcha, Sousa-Poza, Alfonso, Sovic, Slavica, Sparboe-Nilsen, Bente, Sparrenberger, Karen, Spencer, Phoebe R, Spinelli, Angela, Spiroski, Igor, Staessen, Jan A, Stamm, Hanspeter, Stang, Andreas, Starc, Gregor, Staub, Kaspar, Stavreski, Bill, Steene-Johannessen, Jostein, Stehle, Peter, Stein, Aryeh D, Steinsbekk, Silje, Stergiou, George S, Stessman, Jochanan, Stevanović, Ranko, Stieber, Jutta, Stöckl, Doris, Stokwiszewski, Jakub, Stoyanova, Ekaterina, Stratton, Gareth, Stronks, Karien, Strufaldi, Maria Wany, Sturua, Lela, Suárez-Medina, Ramón, Suarez-Ortegón, Milton F, Suebsamran, Phalakorn, Sugiyama, Mindy, Suka, Machi, Sulo, Gerhard, Sun, Chien-An, Sun, Liang, Sund, Malin, Sundström, Johan, Sung, Yn-Tz, Sunyer, Jordi, Suriyawongpaisal, Paibul, Sweis, Nabil William G, Swinburn, Boyd A, Sy, Rody G, Sylva, René Charles, Szponar, Lucjan, Tabone, Lorraine, Tai, E Shyong, Takuro, Furusawa, Tambalis, Konstantinos D, Tammesoo, Mari-Liis, Tamosiunas, Abdonas, Tan, Eng Joo, Tang, Xun, Tanrygulyyeva, Maya, Tanser, Frank, Tao, Yong, Tarawneh, Mohammed Rasoul, Tarp, Jakob, Tarqui-Mamani, Carolina B, Taxová Braunerová, Radka, Taylor, Anne, Taylor, Julie, Tchibindat, Félicité, Te Velde, Saskia, Tebar, William R, Tell, Grethe S, Tello, Tania, Tessema, Masresha, Tham, Yih Chung, Thankappan, KR, Theobald, Holger, Theodoridis, Xenophon, Thomas, Nihal, Thorand, Barbara, Thrift, Amanda G, Tichá, Ľubica, Timmermans, Erik J, Tjandrarini, Dwi Hapsari, Tjonneland, Anne, Tolonen, Hanna K, Tolstrup, Janne S, Tomaszewski, Maciej, Topbas, Murat, Topór-Mądry, Roman, Torheim, Liv Elin, Tornaritis, Michael J, Torrent, Maties, Torres-Collado, Laura, Toselli, Stefania, Touloumi, Giota, Traissac, Pierre, Tran, Thi Tuyet-Hanh, Tremblay, Mark S, Triantafyllou, Areti, Trichopoulos, Dimitrios, Trichopoulou, Antonia, Trinh, Oanh TH, Trivedi, Atul, Tshepo, Lechaba, Tsigga, Maria, Tsintavis, Panagiotis, Tsugane, Shoichiro, Tuitele, John, Tuliakova, Azaliia M, Tulloch-Reid, Marshall K, Tullu, Fikru, Tuomainen, Tomi-Pekka, Tuomilehto, Jaakko, Twig, Gilad, Tynelius, Per, Tzala, Evangelia, Tzotzas, Themistoklis, Tzourio, Christophe, Udoji, Nwannedimma, Ueda, Peter, Ugel, Eunice, Ukoli, Flora AM, Ulmer, Hanno, Unal, Belgin, Usupova, Zhamyila, Uusitalo, Hannu MT, Uysal, Nalan, Vaitkeviciute, Justina, Valdivia, Gonzalo, Vale, Susana, Valvi, Damaskini, van Dam, Rob M, van den Born, Bert-Jan, Van der Heyden, Johan, van der Schouw, Yvonne T, Van Herck, Koen, Van Lippevelde, Wendy, Van Minh, Hoang, Van Schoor, Natasja M, van Valkengoed, Irene GM, Vanderschueren, Dirk, Vanuzzo, Diego, Varbo, Anette, Varela-Moreiras, Gregorio, Vargas, Luz Nayibe, Varona-Pérez, Patricia, Vasan, Senthil K, Vasques, Daniel G, Vatasescu, Radu, Vega, Tomas, Veidebaum, Toomas, Velasquez-Melendez, Gustavo, Velika, Biruta, Verloigne, Maïté, Veronesi, Giovanni, Verschuren, WM Monique, Victora, Cesar G, Viegi, Giovanni, Viet, Lucie, Vik, Frøydis N, Vilar, Monica, Villalpando, Salvador, Vioque, Jesus, Viriyautsahakul, Napaphan, Virtanen, Jyrki K, Visser, Marjolein, Visvikis-Siest, Sophie, Viswanathan, Bharathi, Vladulescu, Mihaela, Vlasoff, Tiina, Vocanec, Dorja, Vollenweider, Peter, Völzke, Henry, Vourli, Georgia, Voutilainen, Ari, Vrijheid, Martine, Vrijkotte, Tanja GM, Vuletić, Silvije, Wade, Alisha N, Waldhör, Thomas, Walton, Janette, Wambiya, Elvis OA, Wan Bebakar, Wan Mohamad, Wan Mohamud, Wan Nazaimoon, Wanderley Júnior, Rildo de Souza, Wang, Chongjian, Wang, Huijun, Wang, Ming-Dong, Wang, Ningli, Wang, Qian, Wang, Xiangjun, Wang, Ya Xing, Wang, Ying-Wei, Wannamethee, S Goya, Wareham, Nicholas, Wartha, Olivia, Weber, Adelheid, Wedderkopp, Niels, Weghuber, Daniel, Wei, Wenbin, Weres, Aneta, Werner, Bo, Westbury, Leo D, Whincup, Peter H, Wichstrøm, Lars, Wickramasinghe, Kremlin, Widhalm, Kurt, Widyahening, Indah S, Więcek, Andrzej, Wild, Philipp S, Wilks, Rainford J, Willeit, Johann, Willeit, Peter, Williams, Julianne, Wilsgaard, Tom, Wirth, James P, Wojtyniak, Bogdan, Woldeyohannes, Meseret, Wolf, Kathrin, Wong-McClure, Roy A, Wong, Andrew, Wong, Emily B, Wong, Jyh Eiin, Wong, Tien Yin, Woo, Jean, Woodward, Mark, Wu, Frederick C, Wu, Hon-Yen, Wu, Jianfeng, Wu, Li Juan, Wu, Shouling, Wyszyńska, Justyna, Xu, Haiquan, Xu, Liang, Yaacob, Nor Azwany, Yamborisut, Uruwan, Yan, Li, Yan, Weili, Yang, Ling, Yang, Xiaoguang, Yang, Yang, Yardim, Nazan, Yasuharu, Tabara, Yépez García, Martha, Yiallouros, Panayiotis K, Yngve, Agneta, Yoosefi, Moein, Yoshihara, Akihiro, Yotov, Yoto, You, Qi Sheng, You, San-Lin, Younger-Coleman, Novie O, Yu, Yu-Ling, Yu, Yunjiang, Yusof, Safiah Md, Yusoff, Ahmad Faudzi, Zaccagni, Luciana, Zafiropulos, Vassilis, Zainuddin, Ahmad A, Zakavi, Seyed Rasoul, Zamani, Farhad, Zambon, Sabina, Zampelas, Antonis, Zamrazilová, Hana, Zapata, Maria Elisa, Zargar, Abdul Hamid, Zaw, Ko Ko, Zayed, Ayman A, Zdrojewski, Tomasz, Żegleń, Magdalena, Zejglicova, Kristyna, Zeljkovic Vrkic, Tajana, Zeng, Yi, Zentai, Andrea, Zhang, Bing, Zhang, Luxia, Zhang, Zhen-Yu, Zhao, Dong, Zhao, Ming-Hui, Zhao, Wenhua, Zhecheva, Yanitsa V, Zhen, Shiqi, Zheng, Wei, Zheng, Yingfeng, Zholdin, Bekbolat, Zhou, Maigeng, Zhu, Dan, Zimmet, Paul, Zins, Marie, Zitt, Emanuel, Zocalo, Yanina, Zoghlami, Nada, Zuñiga Cisneros, Julio, Zuziak, Monika, and Ezzati, Majid
Published: 2024
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10. Reduced skeletal muscle mass to visceral fat area ratio is independently associated with reduced cognitive function in type 2 diabetes mellitus

Author: Low, Serena, Ng, Tze Pin, Goh, Kiat Sern, Moh, Angela, Khoo, Jonathon, Ang, Keven, Yap, Philip, Cheong, Chin Yee, Tang, Wern Ee, Lim, Ziliang, Subramaniam, Tavintharan, Sum, Chee Fang, and Lim, Su Chi
Published: 2024
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11. Happy people live longer because they are healthy people

Author: Song, Cai Feng, Tay, Peter Kay Chai, Gwee, Xinyi, Wee, Shiou Liang, and Ng, Tze Pin
Published: 2023
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12. Education and the moderating roles of age, sex, ethnicity and apolipoprotein epsilon 4 on the risk of cognitive impairment

Author: Makkar, Steve R, Lipnicki, Darren M, Crawford, John D, Kochan, Nicole A, Castro-Costa, Erico, Lima-Costa, Maria Fernanda, Diniz, Breno Satler, Brayne, Carol, Stephan, Blossom, Matthews, Fiona, Llibre-Rodriguez, Juan J, Llibre-Guerra, Jorge J, Valhuerdi-Cepero, Adolfo J, Lipton, Richard B, Katz, Mindy J, Zammit, Andrea, Ritchie, Karen, Carles, Sophie, Carriere, Isabelle, Scarmeas, Nikolaos, Yannakoulia, Mary, Kosmidis, Mary, Lam, Linda, Fung, Ada, Chan, Wai Chi, Guaita, Antonio, Vaccaro, Roberta, Davin, Annalisa, Kim, Ki Woong, Han, Ji Won, Suh, Seung Wan, Riedel-Heller, Steffi G, Roehr, Susanne, Pabst, Alexander, Ganguli, Mary, Hughes, Tiffany F, Jacobsen, Erin P, Anstey, Kaarin J, Cherbuin, Nicolas, Haan, Mary N, Aiello, Allison E, Dang, Kristina, Kumagai, Shuzo, Narazaki, Kenji, Chen, Sanmei, Ng, Tze Pin, Gao, Qi, Nyunt, Ma Shwe Zin, Meguro, Kenichi, Yamaguchi, Satoshi, Ishii, Hiroshi, Lobo, Antonio, Escolar, Elena Lobo, De la Cámara, Concepción, Brodaty, Henry, Trollor, Julian N, Leung, Yvonne, Lo, Jessica W, Sachdev, Perminder, and Consortium, for Cohort Studies of Memory in an International
Subjects: Public Health, Health Sciences, Brain Disorders, Women's Health, Acquired Cognitive Impairment, Aging, Alzheimer's Disease, Behavioral and Social Science, Neurosciences, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Dementia, Neurodegenerative, Quality Education, Aged, Aged, 80 and over, Apolipoprotein E4, Cognitive Dysfunction, Educational Status, Ethnicity, Female, Humans, Longitudinal Studies, Male, Risk Factors, Cognitive decline, Education, Ageing, Sex, Age, for Cohort Studies of Memory in an International Consortium
Abstract: BackgroundWe examined how the relationship between education and latelife cognitive impairment (defined as a Mini Mental State Examination score below 24) is influenced by age, sex, ethnicity, and Apolipoprotein E epsilon 4 (APOE*4).MethodsParticipants were 30,785 dementia-free individuals aged 55-103 years, from 18 longitudinal cohort studies, with an average follow-up ranging between 2 and 10 years. Pooled hazard ratios were obtained from multilevel parametric survival analyses predicting cognitive impairment (CI) from education and its interactions with baseline age, sex, APOE*4 and ethnicity. In separate models, education was treated as continuous (years) and categorical, with participants assigned to one of four education completion levels: Incomplete Elementary; Elementary; Middle; and High School.ResultsCompared to Elementary, Middle (HR = 0.645, P = 0.004) and High School (HR = 0.472, P
Published: 2020

13. APOE ε4 and the Influence of Sex, Age, Vascular Risk Factors, and Ethnicity on Cognitive Decline

Author: Makkar, Steve R, Lipnicki, Darren M, Crawford, John D, Kochan, Nicole A, Castro-Costa, Erico, Lima-Costa, Maria Fernanda, Diniz, Breno Satler, Brayne, Carol, Stephan, Blossom, Matthews, Fiona, Llibre-Rodriguez, Juan J, Llibre-Guerra, Jorge J, Valhuerdi-Cepero, Adolfo J, Lipton, Richard B, Katz, Mindy J, Wang, Cuiling, Ritchie, Karen, Carles, Sophie, Carriere, Isabelle, Scarmeas, Nikolaos, Yannakoulia, Mary, Kosmidis, Mary, Lam, Linda, Chan, Wai Chi, Fung, Ada, Guaita, Antonio, Vaccaro, Roberta, Davin, Annalisa, Kim, Ki Woong, Han, Ji Won, Suh, Seung Wan, Riedel-Heller, Steffi G, Roehr, Susanne, Pabst, Alexander, Ganguli, Mary, Hughes, Tiffany F, Snitz, Beth, Anstey, Kaarin J, Cherbuin, Nicolas, Easteal, Simon, Haan, Mary N, Aiello, Allison E, Dang, Kristina, Ng, Tze Pin, Gao, Qi, Nyunt, Ma Shwe Zin, Brodaty, Henry, Trollor, Julian N, Leung, Yvonne, Lo, Jessica W, and Sachdev, Perminder
Subjects: Health Sciences, Neurosciences, Clinical Research, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Genetics, Neurodegenerative, Alzheimer's Disease, Acquired Cognitive Impairment, Aging, Prevention, Dementia, Brain Disorders, Behavioral and Social Science, 2.4 Surveillance and distribution, Aetiology, Age Factors, Aged, Aged, 80 and over, Alleles, Apolipoprotein E4, Cognitive Dysfunction, Female, Genotype, Humans, Longitudinal Studies, Male, Middle Aged, Risk Factors, Sex Factors, Cognitive decline, APOE genotype, Epidemiology, Sex, Ethnicity, Clinical Sciences, Gerontology, Biomedical and clinical sciences, Health sciences
Abstract: We aimed to examine the relationship between Apolipoprotein E ε4 (APOE*4) carriage on cognitive decline, and whether these associations were moderated by sex, baseline age, ethnicity, and vascular risk factors. Participants were 19,225 individuals aged 54-103 years from 15 longitudinal cohort studies with a mean follow-up duration ranging between 1.2 and 10.7 years. Two-step individual participant data meta-analysis was used to pool results of study-wise analyses predicting memory and general cognitive decline from carriage of one or two APOE*4 alleles, and moderation of these associations by age, sex, vascular risk factors, and ethnicity. Separate pooled estimates were calculated in both men and women who were younger (ie, 62 years) and older (ie, 80 years) at baseline. Results showed that APOE*4 carriage was related to faster general cognitive decline in women, and faster memory decline in men. A stronger dose-dependent effect was observed in older men, with faster general cognitive and memory decline in those carrying two versus one APOE*4 allele. Vascular risk factors were related to an increased effect of APOE*4 on memory decline in younger women, but a weaker effect of APOE*4 on general cognitive decline in older men. The relationship between APOE*4 carriage and memory decline was larger in older-aged Asians than Whites. In sum, APOE*4 is related to cognitive decline in men and women, although these effects are enhanced by age and carriage of two APOE*4 alleles in men, a higher numbers of vascular risk factors during the early stages of late adulthood in women, and Asian ethnicity.
Published: 2020

14. The Association of Sedentary Behaviour and Cognitive Function in People Without Dementia: A Coordinated Analysis Across Five Cohort Studies from COSMIC

Author: Maasakkers, Carlijn M, Claassen, Jurgen AHR, Gardiner, Paul A, Olde Rikkert, Marcel GM, Lipnicki, Darren M, Scarmeas, Nikolaos, Dardiotis, Efthimios, Yannakoulia, Mary, Anstey, Kaarin J, Cherbuin, Nicolas, Haan, Mary N, Kumagai, Shuzo, Narazaki, Kenji, Chen, Tao, Ng, Tze Pin, Gao, Qi, Nyunt, Ma SZ, Crawford, John D, Kochan, Nicole A, Makkar, Steve R, Sachdev, Perminder S, Thijssen, Dick HJ, and Melis, René JF
Subjects: Alzheimer's Disease, Brain Disorders, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Neurodegenerative, Prevention, Neurosciences, Dementia, Aging, Acquired Cognitive Impairment, Neurological, Aged, Cognition, Cognitive Dysfunction, Cohort Studies, Female, Humans, Male, Sedentary Behavior, Surveys and Questionnaires, COSMIC Collaborators, Mechanical Engineering, Human Movement and Sports Sciences, Curriculum and Pedagogy, Sport Sciences
Abstract: BackgroundBesides physical activity as a target for dementia prevention, sedentary behaviour is hypothesized to be a potential target in its own right. The rising number of persons with dementia and lack of any effective treatment highlight the urgency to better understand these modifiable risk factors. Therefore, we aimed to investigate whether higher levels of sedentary behaviour are associated with reduced global cognitive functioning and slower cognitive decline in older persons without dementia.MethodsWe used five population cohorts from Greece, Australia, USA, Japan, and Singapore (HELIAD, PATH, SALSA, SGS, and SLAS2) from the Cohort Studies of Memory in an International Consortium. In a coordinated analysis, we assessed the relationship between sedentary behaviour and global cognitive function with the use of linear mixed growth model analysis (mean follow-up range of 2.0-8.1 years).ResultsBaseline datasets combined 10,450 older adults without dementia with a mean age range between cohorts of 66.7-75.1 years. After adjusting for multiple covariates, no cross-sectional association between sedentary behaviour and cognition was found in four studies. One association was detected where more sedentary behaviour was cross-sectionally linked to higher cognition levels (SLAS2, B = 0.118 (0.075; 0.160), P 0.05).ConclusionsOverall, these results do not suggest an association between total sedentary time and lower global cognition in older persons without dementia at baseline or over time. We hypothesize that specific types of sedentary behaviour may differentially influence cognition which should be investigated further. For now, it is, however, too early to establish undifferentiated sedentary time as a potential effective target for minimizing cognitive decline in older adults without dementia.
Published: 2020

15. Investigation of antihypertensive class, dementia, and cognitive decline: A meta-analysis.

Author: Peters, Ruth, Yasar, Sevil, Anderson, Craig S, Andrews, Shea, Antikainen, Riitta, Arima, Hisatomi, Beckett, Nigel, Beer, Joanne C, Bertens, Anne Suzanne, Booth, Andrew, van Boxtel, Martin, Brayne, Carol, Brodaty, Henry, Carlson, Michelle C, Chalmers, John, Corrada, Maria, DeKosky, Steven, Derby, Carol, Dixon, Roger A, Forette, Françoise, Ganguli, Mary, van Gool, Willem A, Guaita, Antonio, Hever, Ann M, Hogan, David B, Jagger, Carol, Katz, Mindy, Kawas, Claudia, Kehoe, Patrick G, Keinanen-Kiukaanniemi, Sirkka, Kenny, Rose Ann, Köhler, Sebastian, Kunutsor, Setor K, Laukkanen, Jari, Maxwell, Colleen, McFall, G Peggy, van Middelaar, Tessa, Moll van Charante, Eric P, Ng, Tze-Pin, Peters, Jean, Rawtaer, Iris, Richard, Edo, Rockwood, Kenneth, Rydén, Lina, Sachdev, Perminder S, Skoog, Ingmar, Skoog, Johan, Staessen, Jan A, Stephan, Blossom CM, Sebert, Sylvain, Thijs, Lutgarde, Trompet, Stella, Tully, Phillip J, Tzourio, Christophe, Vaccaro, Roberta, Vaaramo, Eeva, Walsh, Erin, Warwick, Jane, and Anstey, Kaarin J
Subjects: Biomedical and Clinical Sciences, Neurosciences, Clinical Sciences, Neurodegenerative, Acquired Cognitive Impairment, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Clinical Trials and Supportive Activities, Aging, Brain Disorders, Clinical Research, Cardiovascular, Dementia, Alzheimer's Disease, Prevention, Neurological, Aged, Aged, 80 and over, Antihypertensive Agents, Cognitive Dysfunction, Female, Humans, Hypertension, Male, Middle Aged, Cognitive Sciences, Neurology & Neurosurgery, Clinical sciences
Abstract: ObjectiveHigh blood pressure is one of the main modifiable risk factors for dementia. However, there is conflicting evidence regarding the best antihypertensive class for optimizing cognition. Our objective was to determine whether any particular antihypertensive class was associated with a reduced risk of cognitive decline or dementia using comprehensive meta-analysis including reanalysis of original participant data.MethodsTo identify suitable studies, MEDLINE, Embase, and PsycINFO and preexisting study consortia were searched from inception to December 2017. Authors of prospective longitudinal human studies or trials of antihypertensives were contacted for data sharing and collaboration. Outcome measures were incident dementia or incident cognitive decline (classified using the reliable change index method). Data were separated into mid and late-life (>65 years) and each antihypertensive class was compared to no treatment and to treatment with other antihypertensives. Meta-analysis was used to synthesize data.ResultsOver 50,000 participants from 27 studies were included. Among those aged >65 years, with the exception of diuretics, we found no relationship by class with incident cognitive decline or dementia. Diuretic use was suggestive of benefit in some analyses but results were not consistent across follow-up time, comparator group, and outcome. Limited data precluded meaningful analyses in those ≤65 years of age.ConclusionOur findings, drawn from the current evidence base, support clinical freedom in the selection of antihypertensive regimens to achieve blood pressure goals.Clinical trials registrationThe review was registered with the international prospective register of systematic reviews (PROSPERO), registration number CRD42016045454.
Published: 2020

16. Determinants of cognitive performance and decline in 20 diverse ethno-regional groups: A COSMIC collaboration cohort study.

Author: Lipnicki, Darren M, Makkar, Steve R, Crawford, John D, Thalamuthu, Anbupalam, Kochan, Nicole A, Lima-Costa, Maria Fernanda, Castro-Costa, Erico, Ferri, Cleusa Pinheiro, Brayne, Carol, Stephan, Blossom, Llibre-Rodriguez, Juan J, Llibre-Guerra, Jorge J, Valhuerdi-Cepero, Adolfo J, Lipton, Richard B, Katz, Mindy J, Derby, Carol A, Ritchie, Karen, Ancelin, Marie-Laure, Carrière, Isabelle, Scarmeas, Nikolaos, Yannakoulia, Mary, Hadjigeorgiou, Georgios M, Lam, Linda, Chan, Wai-Chi, Fung, Ada, Guaita, Antonio, Vaccaro, Roberta, Davin, Annalisa, Kim, Ki Woong, Han, Ji Won, Suh, Seung Wan, Riedel-Heller, Steffi G, Roehr, Susanne, Pabst, Alexander, van Boxtel, Martin, Köhler, Sebastian, Deckers, Kay, Ganguli, Mary, Jacobsen, Erin P, Hughes, Tiffany F, Anstey, Kaarin J, Cherbuin, Nicolas, Haan, Mary N, Aiello, Allison E, Dang, Kristina, Kumagai, Shuzo, Chen, Tao, Narazaki, Kenji, Ng, Tze Pin, Gao, Qi, Nyunt, Ma Shwe Zin, Scazufca, Marcia, Brodaty, Henry, Numbers, Katya, Trollor, Julian N, Meguro, Kenichi, Yamaguchi, Satoshi, Ishii, Hiroshi, Lobo, Antonio, Lopez-Anton, Raul, Santabárbara, Javier, Leung, Yvonne, Lo, Jessica W, Popovic, Gordana, Sachdev, Perminder S, and for Cohort Studies of Memory in an International Consortium (COSMIC)
Subjects: for Cohort Studies of Memory in an International Consortium, Humans, Diabetes Mellitus, Exercise, Risk Assessment, Risk Factors, Smoking, Cognition, Age Factors, Comorbidity, Health Education, Aged, Aged, 80 and over, Middle Aged, Ethnic Groups, Female, Male, Stroke, Cognitive Dysfunction, and over, General & Internal Medicine, Medical and Health Sciences
Abstract: BackgroundWith no effective treatments for cognitive decline or dementia, improving the evidence base for modifiable risk factors is a research priority. This study investigated associations between risk factors and late-life cognitive decline on a global scale, including comparisons between ethno-regional groups.Methods and findingsWe harmonized longitudinal data from 20 population-based cohorts from 15 countries over 5 continents, including 48,522 individuals (58.4% women) aged 54-105 (mean = 72.7) years and without dementia at baseline. Studies had 2-15 years of follow-up. The risk factors investigated were age, sex, education, alcohol consumption, anxiety, apolipoprotein E ε4 allele (APOE*4) status, atrial fibrillation, blood pressure and pulse pressure, body mass index, cardiovascular disease, depression, diabetes, self-rated health, high cholesterol, hypertension, peripheral vascular disease, physical activity, smoking, and history of stroke. Associations with risk factors were determined for a global cognitive composite outcome (memory, language, processing speed, and executive functioning tests) and Mini-Mental State Examination score. Individual participant data meta-analyses of multivariable linear mixed model results pooled across cohorts revealed that for at least 1 cognitive outcome, age (B = -0.1, SE = 0.01), APOE*4 carriage (B = -0.31, SE = 0.11), depression (B = -0.11, SE = 0.06), diabetes (B = -0.23, SE = 0.10), current smoking (B = -0.20, SE = 0.08), and history of stroke (B = -0.22, SE = 0.09) were independently associated with poorer cognitive performance (p < 0.05 for all), and higher levels of education (B = 0.12, SE = 0.02) and vigorous physical activity (B = 0.17, SE = 0.06) were associated with better performance (p < 0.01 for both). Age (B = -0.07, SE = 0.01), APOE*4 carriage (B = -0.41, SE = 0.18), and diabetes (B = -0.18, SE = 0.10) were independently associated with faster cognitive decline (p < 0.05 for all). Different effects between Asian people and white people included stronger associations for Asian people between ever smoking and poorer cognition (group by risk factor interaction: B = -0.24, SE = 0.12), and between diabetes and cognitive decline (B = -0.66, SE = 0.27; p < 0.05 for both). Limitations of our study include a loss or distortion of risk factor data with harmonization, and not investigating factors at midlife.ConclusionsThese results suggest that education, smoking, physical activity, diabetes, and stroke are all modifiable factors associated with cognitive decline. If these factors are determined to be causal, controlling them could minimize worldwide levels of cognitive decline. However, any global prevention strategy may need to consider ethno-regional differences.
Published: 2019

17. Associations between social connections and cognition: a global collaborative individual participant data meta-analysis

Author: Samtani, Suraj, Mahalingam, Gowsaly, Lam, Ben Chun Pan, Lipnicki, Darren M, Lima-Costa, Maria Fernanda, Blay, Sergio Luís, Castro-Costa, Erico, Shifu, Xiao, Guerchet, Maëlenn, Preux, Pierre-Marie, Gbessemehlan, Antoine, Skoog, Ingmar, Najar, Jenna, Rydberg Sterner, Therese, Scarmeas, Nikolaos, Kim, Ki-Woong, Riedel-Heller, Steffi, Röhr, Susanne, Pabst, Alexander, Shahar, Suzana, Numbers, Katya, Ganguli, Mary, Jacobsen, Erin, Hughes, Tiffany F, Crowe, Michael, Ng, Tze Pin, Maddock, Jane, Marseglia, Anna, Mélis, René, Szcześniak, Dorota, Wiegelmann, Henrik, Vernooij-Dassen, Myrra, Jeon, Yun-Hee, Sachdev, Perminder S, and Brodaty, Henry
Published: 2022
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18. Association of fat mass index versus appendicular lean mass index with physical function – The Yishun Study

Author: Tou, Nien Xiang, Wee, Shiou Liang, Pang, Benedict Wei Jun, Lau, Lay Khoon, Jabbar, Khalid Abdul, Seah, Wei Ting, Chen, Kenneth Kexun, and Ng, Tze Pin
Published: 2022
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19. Decline in skeletal muscle mass is associated with cognitive decline in type 2 diabetes mellitus

Author: Low, Serena, Goh, Kiat Sern, Ng, Tze Pin, Moh, Angela, Ang, Su Fen, Khoo, Jonathon, Ang, Keven, Yap, Philip, Cheong, Chin Yee, Tang, Wern Ee, Lim, Ziliang, Subramaniam, Tavintharan, Sum, Chee Fang, and Lim, Su Chi
Published: 2022
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20. Malnutrition Risk and Kidney Function and Decline in Community-Dwelling Older Adults

Author: Lu, Yanxia, Nyunt, Ma Shwe Zin, Gao, Qi, Gwee, Xinyi, Chua, Denise QL., Yap, Keng Bee, Pan, Fang, and Ng, Tze Pin
Published: 2022
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21. Enhanced gait variability index and cognitive performance in Asian adults: Results from the Yishun Study

Author: Jabbar, Khalid Abdul, Tan, Davynn Gim Hoon, Seah, Wei-Ting, Lau, Lay Khoon, Pang, Benedict Wei-Jun, Ng, Daniella Hui-Min, Tan, Queenie Lin-Ling, Chen, Kexun Kenneth, Jagadish, Mallya Ullal, Ng, Tze-Pin, and Wee, Shiou-Liang
Published: 2022
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22. Inflammatory markers and incident depression: Evidence in a population-based prospective study

Author: Shi, Rong, Gwee, Xinyi, Chua, Denise QL, Tan, Crystal TY, Yap, Keng Bee, Larbi, Anis, Lu, Yanxia, and Ng, Tze Pin
Published: 2022
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23. Association of early-onset Type 2 diabetes with cognitive impairment is partially mediated by increased pulse pressure

Author: Ang, Su Fen, Low, Serena K.M., Ng, Tze Pin, Ang, Keven, Yap, Philip L.K., Cheong, Chin Yee, Lim, Ziliang, Tang, Wern Ee, Moh, Angela M.C., Subramaniam, Tavintharan, Sum, Chee Fang, and Lim, Su Chi
Published: 2022
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24. Lifetime pathogen burden, inflammatory markers, and depression in community-dwelling older adults

Author: Lu, Yanxia, Liu, Bao-Peng, Tan, Crystal TY, Pan, Fang, Larbi, Anis, and Ng, Tze Pin
Published: 2022
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25. Co-occurrence of Physical Frailty and COPD and Association With Disability and Mortality: Singapore Longitudinal Ageing Study

Author: Lee, Shuen Yee, Nyunt, Ma Shwe Zin, Gao, Qi, Gwee, Xinyi, Chua, Denise Qian Ling, Yap, Keng Bee, Wee, Shiou Liang, and Ng, Tze Pin
Published: 2022
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26. Evaluating the Diagnosis of Malnutrition Based on Global Leadership Initiative on Malnutrition (GLIM) Criteria in Community-Dwelling Older Adults (Singapore Longitudinal Aging Study).

Author: Win, Phoo Pyae Sone, Chua, Denise Qian Ling, Gwee, Xinyi, Wee, Shiou Liang, and Ng, Tze Pin
Abstract: Background: A minority of studies using the GLIM criteria for malnutrition diagnosis have performed formal empirical validation. Objectives: To evaluate the concurrent and predictive validity of GLIM criteria with and without prior screening among community-dwelling older adults in Singapore. Method: In the Singapore Longitudinal Aging Study (SLAS-2, n = 2477), malnutrition was diagnosed using single-step and two-step GLIM procedures using the Mini Nutritional Assessment Short Form (MNA-SF) and Elderly Nutritional Index for Geriatric Malnutrition Assessment (ENIGMA) for initial screening. Criterion validity was evaluated using MNA-Full Form (MNA-FF) as reference malnutrition diagnosis. Prognostic validity was evaluated using logistic and Cox regression analyses with respect to impaired quality of life (QoL) and 10-year mortality. Results: GLIM malnutrition with and without MNA-SF or ENIGMA screening showed significant associations with known clinical correlates; single-step GLIM malnutrition: sensitivity = 80%, specificity = 83%; two-step MNA-SF-GLIM malnutrition: sensitivity = 80%, specificity = 85%; two-step ENIGMA-GLIM malnutrition: sensitivity = 74%, specificity = 88%; positive predictive values of around 20% and negative predictive values above 98%. Cohen's kappa values of agreement were uniformly low (0.26 to 0.32). All showed significant associations with about 50% increased odds of impaired QoL and 10-year mortality, adjusted for age, sex, ethnicity, education levels, and housing type, with the ENIGMA-GLIM malnutrition showing the highest risk estimates. Compared to MNA-FF malnutrition prevalence of 4.1%, GLIM-based malnutrition increased prevalence (14.6% to 19.7%) estimates. Conclusions: The GLIM criteria showed good construct and criterion validity. It increased the number of individuals diagnosed with malnutrition. The agreement between diagnoses of malnutrition was low. Diagnostic and prognostic accuracy vary with the screening instrument used. Early identification of malnutrition using appropriate tools can provide opportunities to delay or prevent the risk of important adverse outcomes such as impaired QoL and mortality. [ABSTRACT FROM AUTHOR]
Published: 2024
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27. Youth Epidemiology and Resilience (YEAR) in a student population: prevalence and predictors of mental health symptoms.

Author: Wong, John Chee Meng, Lei, Natalie Cheok Ling, Kom, Dennis Mun Yen, Fee, Victoria Hui Fen, Yap, Natalie Huijing, Teoh, Jie Yu, Shen, Liang, Yap, Qai Ven, Wan, Michelle Jing Si, Du, Ruochen, Kroneman, Leoniek, Fung, Daniel Shuen Sheng, Ong, Say How, Tian, Cheong Sing, Bin Sachiman, Muhammad Nabil Syukri, Sii, Nicholas En-Ping, Teng, Jia Ying, Ng, Tze Pin, and Verhulst, Frank
Subjects: MENTAL illness, MENTAL health policy, INTERNALIZING behavior, PSYCHOLOGICAL resilience, SOCIODEMOGRAPHIC factors
Abstract: Background: Adolescence is a pivotal developmental phase, marked by a high prevalence of mental health issues. The Singapore Youth Epidemiology and Resilience (YEAR) study aims to assess the prevalence of mental health symptoms, sociodemographic risk factors, and the protective role of resilience in a multi-ethnic, Asian school-going adolescent population. Methods: School-based adolescents aged 11-18 and their parents were invited from a stratified sample of national schools, designed to be demographically representative of the mainstream school-going population. In the screening phase, adolescents completed a battery of questionnaires including the Youth Self-Report (YSR), Child Behaviour Checklist (CBCL), and the Singapore Youth Resilience Scale (SYRESS). Thereafter, diagnostic interviews were conducted on high-risk and control participants. Data analysis was conducted to establish prevalence rates of mental health symptoms, and to examine the associations between mental health symptoms, sociodemographic factors, and resilience. Results: The final study sample consisted of 3336 adolescents and 2475 parents. Based on adolescents' response on the YSR, 37.3%, 13.1% and 27.7% of the YEAR Study population scored in the clinical range for internalizing, externalizing and total problems respectively. Based on parents' reporting on their children on the CBCL, 15.9%, 4.0% and 11.2% scored in the clinical range for internalizing, externalizing and total problems respectively. Sociodemographic risk factors for specific mental health symptoms were identified, including belonging to the age category of 15-16 (OR, 1.8-2.2) and those living in either a 4-, 5-room or executive flat (OR, 0.6-0.7), or in condominiums and other apartments (OR, 0.4-0.6). Total resilience scores were moderately correlated with total [rs(3334) = -.49, p <.01] and internalizing [rs(3334) = -.50, p <.01] problem scores on the YSR. Conclusion: This study illustrates the state of mental health of school-going adolescents aged 11-18. The greater prevalence of internalizing symptoms indicates the need for stronger attention for identifying internalizing problems and targeted interventions for those at risk of such symptoms. The association between mental health symptoms and resilience factors highlights the protective potential of resilience building for adolescents. [ABSTRACT FROM AUTHOR]
Published: 2024
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28. Apathy and depressive symptoms in older people and incident myocardial infarction, stroke, and mortality: a systematic review and meta-analysis of individual participant data

Author: Eurelings, Lisa SM, van Dalen, Jan Willem, Riet, Gerben ter, van Charante, Eric P Moll, Richard, Edo, van Gool, Willem A, Almeida, Osvaldo P, Alexandre, Tiago S, Baune, Bernhard T, Bickel, Horst, Cacciatore, Francesco, Cooper, Cyrus, de Craen, Ton AJM, Degryse, Jean-Marie, Di Bari, Mauro, Duarte, Yeda A, Feng, Liang, Ferrara, Nicola, Flicker, Leon, Gallucci, Maurizio, Guaita, Antonio, Harrison, Stephanie L, Katz, Mindy J, Lebrão, Maria L, Leung, Jason, Lipton, Richard B, Mengoni, Marta, Ng, Tze Pin, Østbye, Truls, Panza, Francesco, Polito, Letizia, Sander, Dirk, Solfrizzi, Vincenzo, Syddall, Holly E, van der Mast, Roos C, Vaes, Bert, Woo, Jean, Yaffe, Kristine, Gao, Sujuan, Ho, Suzanne C, Lindsay, Joan, Sham, Aprille, Reppermund, Simone, and Unverzagt, Frederick W
Subjects: Brain Disorders, Cardiovascular, Aging, Depression, Clinical Research, Behavioral and Social Science, Heart Disease, Stroke, Mental Health, Prevention, Good Health and Well Being, ICARA Study Group, apathy, cardiovascular disease, depression, meta-analysis, myocardial infarction, older people, stroke, Clinical Sciences, Public Health and Health Services
Abstract: Background:Previous findings suggest that apathy symptoms independently of depressive symptoms measured using the Geriatric Depression Scale (GDS) are associated with cardiovascular disease (CVD) in older individuals. Aims:To study whether apathy and depressive symptoms in older people are associated with future CVD, stroke, and mortality using individual patient-data meta-analysis. Methods:Medline, Embase, and PsycInfo databases up to September 3, 2013, were systematically searched without language restrictions. We sought prospective studies with older (mean age ≥65 years) community-dwelling populations in which the GDS was employed and subsequent stroke and/or CVD were recorded to provide individual participant data. Apathy symptoms were defined as the three apathy-related subitems of the GDS, with depressive symptoms the remaining items. We used myocardial infarction (MI), stroke, and all-cause mortality as main outcomes. Analyses were adjusted for age, sex, and MI/stroke history. An adaptation of the Newcastle-Ottawa scale was used to evaluate bias. Hazard ratios were calculated using one-stage random-effect Cox regression models. Results:Of the 52 eligible studies, 21 (40.4%) were included, comprising 47,625 older people (mean age [standard deviation] 74 [7.4] years), over a median follow-up of 8.8 years. Participants with apathy symptoms had a 21% higher risk of MI (95% confidence interval [CI] 1.08-1.36), a 37% higher risk of stroke (95% CI 1.18-1.59), and a 47% higher risk of all-cause mortality (95% CI 1.38-1.56). Participants with depressive symptoms had a comparably higher risk of stroke (HR 1.36, 95% CI 1.18-1.56) and all-cause mortality (HR 1.44, 95% CI 1.35-1.53), but not of MI (HR 1.08, 95% CI 0.91-1.29). Associations for isolated apathy and isolated depressive symptoms were comparable. Sensitivity analyses according to risk of bias yielded similar results. Conclusion:Our findings stress the clinical importance of recognizing apathy independently of depressive symptoms, and could help physicians identify persons at increased risk of vascular disease.
Published: 2018

29. Associations of low handgrip strength and hand laterality with cognitive function and functional mobility – the Yishun Study

Author: Chen, Kexun Kenneth, Lee, Shuen Yee, Pang, Benedict Wei Jun, Lau, Lay Khoon, Jabbar, Khalid Abdul, Seah, Wei Ting, Tou, Nien Xiang, Yap, Philip Lin Kiat, Ng, Tze Pin, and Wee, Shiou-Liang
Published: 2022
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30. Longitudinal associations of housework with frailty and mortality in older adults: Singapore Longitudinal Ageing Study 2

Author: Lee, Shuen Yee, Nyunt, Ma Shwe Zin, Gao, Qi, Gwee, Xinyi, Chua, Denise Qian Ling, Yap, Keng Bee, Wee, Shiou Liang, and Ng, Tze Pin
Published: 2022
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31. Effectiveness of Community-Delivered Functional Power Training Program for Frail and Pre-frail Community-Dwelling Older Adults: a Randomized Controlled Study

Author: Tou, Nien Xiang, Wee, Shiou-Liang, Seah, Wei Ting, Ng, Daniella Hui Min, Pang, Benedict Wei Jun, Lau, Lay Khoon, and Ng, Tze Pin
Published: 2021
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32. Endoplasmic reticulum stress response and bile acid signatures associate with multi-strain seroresponsiveness during elderly influenza vaccination

Author: Carre, Christophe, Wong, Glenn, Narang, Vipin, Tan, Crystal, Chong, Joni, Chin, Hui Xian, Xu, Weili, Lu, Yanxia, Chua, Michelle, Poidinger, Michael, Tambyah, Paul, Nyunt, Ma, Ng, Tze Pin, Larocque, Daniel, Hessler, Catherine, Bosco, Nabil, Quemeneur, Laurence, and Larbi, Anis
Published: 2021
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33. Physiological and cognitive determinants of gait in middle-aged, older-aged and oldest-aged Asian adults – The Yishun study

Author: Lau, Lay Khoon, Wee, Shiou Liang, Mallya, Jagadish Ullal, Yap, Philip Lin Kiat, Pang, Wei Jun Benedict, Chen, Kexun Kenneth, Abdul Jabbar, Khalid, Seah, Wei Ting, and Ng, Tze Pin
Published: 2021
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34. Timed Up and Go (TUG) Reference Values and Predictive Cutoffs for Fall Risk and Disability in Singaporean Community-Dwelling Adults: Yishun Cross-Sectional Study and Singapore Longitudinal Aging Study

Author: Choo, Pei Ling, Tou, Nien Xiang, Jun Pang, Benedict Wei, Lau, Lay Khoon, Jabbar, Khalid Abdul, Seah, Wei Ting, Chen, Kenneth Kexun, Ng, Tze Pin, and Wee, Shiou-Liang
Published: 2021
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35. Nutritional Status and Risks of Cognitive Decline and Incident Neurocognitive Disorders: Singapore Longitudinal Ageing Studies

Author: Lu, Y., Gwee, X., Chua, D.Q., Lee, T.S., Lim, W.S., Chong, M.S., Yap, P., Yap, K.B., Rawtaer, I., Liew, T.M., Pan, F., and Ng, Tze Pin
Published: 2021
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36. Development, Validation and Field Evaluation of the Singapore Longitudinal Ageing Study (SLAS) Risk Index for Prediction of Mild Cognitive Impairment and Dementia

Author: Ng, Tze Pin, Lee, T. S., Lim, W. S., Chong, M. S., Yap, P., Cheong, C. Y., Yap, K. B., Rawtaer, I., Liew, T. M., Gao, Q., Gwee, X., Ng, M. P. E., Nicholas, S. O., and Wee, S. L.
Published: 2021
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37. Coexistence of osteoporosis, sarcopenia and obesity in community-dwelling adults – The Yishun Study

Author: Pang, Benedict Wei Jun, Wee, Shiou-Liang, Chen, Kenneth Kexun, Lau, Lay Khoon, Jabbar, Khalid Abdul, Seah, Wei Ting, Ng, Daniella Hui Min, Tan, Queenie Lin Ling, Jagadish, Mallya Ullal, and Ng, Tze Pin
Published: 2021
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38. Tea Consumption and Depression from Follow Up in the Singapore Longitudinal Ageing Study

Author: Ng, Tze Pin, Gao, Q., Gwee, X., and Chua, D.Q.L.
Published: 2021
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39. Fast gait spatiotemporal parameters in adults and association with muscle strength – The Yishun study

Author: Abdul Jabbar, Khalid, Seah, Wei-Ting, Lau, Lay Khoon, Pang, Benedict Wei-Jun, Ng, Daniella Hui-Min, Tan, Queenie Lin-Ling, Chen, Kexun Kenneth, Mallya Ullal, Jagadish, Ng, Tze-Pin, and Wee, Shiou-Liang
Published: 2021
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40. Risk factors and cognitive correlates of white matter hyperintensities in ethnically diverse populations without dementia : The COSMIC consortium

Author: Lin, Keshuo, Wen, Wei, Lipnicki, Darren M., Mewton, Louise, Chen, Rory, Du, Jing, Wang, Dadong, Skoog, Ingmar, Sterner, Therese Rydberg, Najar, Jenna, Kim, Ki Woong, Han, Ji Won, Kim, Jun Sung, Ng, Tze Pin, Ho, Roger, Chua, Denise Qian Ling, Anstey, Kaarin J., Cherbuin, Nicolas, Mortby, Moyra E., Brodaty, Henry, Kochan, Nicole, Sachdev, Perminder S., Jiang, Jiyang, Lin, Keshuo, Wen, Wei, Lipnicki, Darren M., Mewton, Louise, Chen, Rory, Du, Jing, Wang, Dadong, Skoog, Ingmar, Sterner, Therese Rydberg, Najar, Jenna, Kim, Ki Woong, Han, Ji Won, Kim, Jun Sung, Ng, Tze Pin, Ho, Roger, Chua, Denise Qian Ling, Anstey, Kaarin J., Cherbuin, Nicolas, Mortby, Moyra E., Brodaty, Henry, Kochan, Nicole, Sachdev, Perminder S., and Jiang, Jiyang
Abstract: INTRODUCTION White matter hyperintensities (WMHs) are an important imaging marker for cerebral small vessel diseases, but their risk factors and cognitive associations have not been well documented in populations of different ethnicities and/or from different geographical regions. METHODS We investigated how WMHs were associated with vascular risk factors and cognition in both Whites and Asians, using data from five population-based cohorts of non-demented older individuals from Australia, Singapore, South Korea, and Sweden (N = 1946). WMH volumes (whole brain, periventricular, and deep) were quantified with UBO Detector and harmonized using the ComBat model. We also harmonized various vascular risk factors and scores for global cognition and individual cognitive domains. RESULTS Factors associated with larger whole brain WMH volumes included diabetes, hypertension, stroke, current smoking, body mass index, higher alcohol intake, and insufficient physical activity. Hypertension and stroke had stronger associations with WMH volumes in Whites than in Asians. No associations between WMH volumes and cognitive performance were found after correction for multiple testing. CONCLUSION The current study highlights ethnic differences in the contributions of vascular risk factors to WMHs.
Published: 2024
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41. Association between vascular measures and cognitive function in type 2 diabetes

Author: Low, Serena, Ng, Tze Pin, Lim, Chin Leong, Wang, Jiexun, Moh, Angela, Ang, Su Fen, Goh, Kiat Sern, Ang, Keven, Tang, Wern Ee, Kwan, Pek Yee, Lim, Ziliang, Subramaniam, Tavintharan, Sum, Chee Fang, and Lim, Su Chi
Published: 2020
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42. Education and the moderating roles of age, sex, ethnicity and apolipoprotein epsilon 4 on the risk of cognitive impairment

Author: Makkar, Steve R., Lipnicki, Darren M., Crawford, John D., Kochan, Nicole A., Castro-Costa, Erico, Lima-Costa, Maria Fernanda, Diniz, Breno Satler, Brayne, Carol, Stephan, Blossom, Matthews, Fiona, Llibre-Rodriguez, Juan J., Llibre-Guerra, Jorge J., Valhuerdi-Cepero, Adolfo J., Lipton, Richard B., Katz, Mindy J., Zammit, Andrea, Ritchie, Karen, Carles, Sophie, Carriere, Isabelle, Scarmeas, Nikolaos, Yannakoulia, Mary, Kosmidis, Mary, Lam, Linda, Fung, Ada, Chan, Wai Chi, Guaita, Antonio, Vaccaro, Roberta, Davin, Annalisa, Kim, Ki Woong, Han, Ji Won, Suh, Seung Wan, Riedel-Heller, Steffi G., Roehr, Susanne, Pabst, Alexander, Ganguli, Mary, Hughes, Tiffany F., Jacobsen, Erin P., Anstey, Kaarin J., Cherbuin, Nicolas, Haan, Mary N., Aiello, Allison E., Dang, Kristina, Kumagai, Shuzo, Narazaki, Kenji, Chen, Sanmei, Ng, Tze Pin, Gao, Qi, Nyunt, Ma Shwe Zin, Meguro, Kenichi, Yamaguchi, Satoshi, Ishii, Hiroshi, Lobo, Antonio, Lobo Escolar, Elena, De la Cámara, Concepción, Brodaty, Henry, Trollor, Julian N., Leung, Yvonne, Lo, Jessica W., and Sachdev, Perminder
Published: 2020
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43. Association between depressive symptoms and pulse wave velocity is mediated by increased adiposity in older adults with type 2 diabetes

Author: Moh, Mei Chung, Low, Serena, Ng, Tze Pin, Ang, Su Fen, Ang, Keven, Sum, Chee Fang, Subramaniam, Tavintharan, and Lim, Su Chi
Subjects: Depression in old age -- Diagnosis -- Risk factors, Adipose tissues -- Health aspects, Type 2 diabetes -- Demographic aspects -- Complications and side effects, Health, Psychology and mental health
Abstract: Background: Studies investigating the association between depression and aortic stiffness in older patients with type 2 diabetes are lacking. We postulated an association between depressive symptoms and aortic stiffness, and this relationship may be mediated by increased adiposity. Methods: We analyzed participants with type 2 diabetes aged 55 years or older (n = 958). We measured aortic stiffness using carotid-femoral pulse wave velocity (cut-off [greater than or equal to] 12 m/s) using the tonometry method. We defined depressive symptoms as a score of greater than 5 on the Geriatric Depression Scale-15 (GDS-15). Adiposity indices we assessed were body mass index, waist- circumference, waist-to-height ratio, visceral fat area and fat mass. Results: Among the participants, 27.2% had aortic stiffness, of whom 6.5% had depressive symptoms. Score on the GDS-15 was correlated with pulse wave velocity, and both variables were correlated with the adiposity markers we analyzed (all p < 0.05). Depressive symptoms were associated with pulse wave velocity (B = 1.79, 95% confidence interval [CI] 0.83-2.75) or aortic stiffness (risk ratio 1.60, 95% CI 1.10-2.33) in the unadjusted model. The association persisted after controlling for demographics, duration of diabetes, glycated hemoglobin, comorbidities and medications. Further adjustment for visceral fat area and fat mass in separate models reduced the association between depressive symptoms and pulse wave velocity or aortic stiffness. Mediation models revealed that the mediation proportions of fat mass and visceral fat area on the association between depressive symptoms and pulse wave velocity were 11.8% and 9.7%, respectively. A preliminary analysis of longitudinal data (n = 184) showed similar findings. Limitations: Causality cannot be inferred from the associations we observed. Conclusion: Depressive symptoms are associated with elevated pulse wave velocity in older people with type 2 diabetes, and this relationship may be partially mediated by increased adiposity., Introduction The leading cause of morbidity and mortality in type 2 diabetes (T2D) is cardiovascular disease. Mounting evidence supports increased arterial stiffness as a powerful risk factor for cardiovascular disease. [...]
Published: 2021
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44. The prevalence of sarcopenic obesity and its association with cognitive performance in type 2 diabetes in Singapore

Author: Low, Serena, Goh, Kiat Sern, Ng, Tze Pin, Ang, Su Fen, Moh, Angela, Wang, Jiexun, Ang, Keven, Subramaniam, Tavintharan, Sum, Chee Fang, and Lim, Su Chi
Published: 2020
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45. Risk Factors of Progression to Frailty: Findings from the Singapore Longitudinal Ageing Study

Author: Cheong, C.Y., Nyunt, M.S.Z., Gao, Q., Gwee, X., Choo, R.W.M., Yap, K.B., Wee, S.L., and Ng, Tze-Pin
Published: 2020
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46. Primary Care Prognostic (PCP) Index of 11-Year Mortality Risk: Development and Validation of a Brief Prognostic Tool

Author: Chiang, Grace Shu Hui, Nyunt, Ma Shwe Zin, Gao, Qi, Wee, Shiou Liang, Yap, Keng Bee, Tan, Boon Yeow, and Ng, Tze Pin
Published: 2021
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47. Sensorimotor Performance and Reference Values for Fall Risk Assessment in Community-Dwelling Adults: The Yishun Study

Author: Pang, Benedict Wei Jun, Wee, Shiou-Liang, Lau, Lay Khoon, Jabbar, Khalid Abdul, Seah, Wei Ting, Ng, Daniella Hui Min, Tan, Queenie Lin Ling, Chen, Kenneth Kexun, Jagadish, Mallya Ullal, and Ng, Tze Pin
Subjects: Falls (Accidents) -- Risk factors, Geriatric assessment -- Methods, Sensorimotor integration -- Testing -- Health aspects, Reference values (Medicine) -- Analysis
Abstract: Objective. This study sought to answer the following questions: What are the reference values of sensorimotor performance for fall risk in community-dwelling adults? How do population norms compare with that of other populations? Are younger adults at risk of falls? Methods. In a cross-sectional study design, sensorimotor functions and fall risk scores of community-dwelling adults were assessed and calculated to derive corresponding fall risk categories. Reference values were determined using the average scores by age group. A total of 542 community-dwelling adults were recruited (21-90 years old) across 10-year (21 -60 years) and 5-year age groups (>60 years) to obtain a representative sample of community-dwelling adults in Singapore. Five physiological domains were assessed: vision, proprioception, muscle strength, reaction time, and postural balance according to the Physiological Profile Assessment (PPA). Fall risk scores and the corresponding fall risk profiles were generated from an online calculator. Results. Sensorimotor performance and PPA fall risk scores were significantly worse for increasing age categories. Females had significantly slower reaction time, lower muscle strength, and higher fall risk. The representative sample of older adults ([greater than or equal to]65 years) performed poorer in postural sway (z = -0.50) and reaction time (z = -0.55), but better in proprioception (z= 0.29) and vision (z = 0.23) compared with Caucasian norms. Among younger adults (21-59 years), 36.8% appeared to exhibit higher fall risk. Conclusion. This study presents important reference data and compared sensorimotor functions and physiological fall risk across age groups of community-dwelling adults in a Southeast Asian population. Poor sensorimotor performance and fall risk appear already pertinent in younger adults. Further studies are warranted to improve understanding of fall risk among younger adults. Impact. In physical therapist practice, PPA reference values can aid clinicians in the development of targeted interventions tailored towards an individual's physiological risk profile, addressing specific physiological systems that require particular attention. Keywords: Sensorimotor, Physiological, Falls, Reference, Singapore, Introduction Aging is associated with increased fall risk and fall-related injuries. The prevalence of falls in community-dwelling older adults increases from 30% among those 65 years and older to 40% [...]
Published: 2021
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48. Implementation and effectiveness of a multi-domain program for older adults at risk of cognitive impairment at neighborhood senior centres

Author: Ng, Pei Ern Mary, Nicholas, Sean Olivia, Wee, Shiou Liang, Yau, Teng Yan, Chan, Alvin, Chng, Isaiah, Yap, Lin Kiat Philip, and Ng, Tze Pin
Published: 2021
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49. Type of tea consumption and depressive symptoms in Chinese older adults

Author: Yao, Yao, Chen, Huashuai, Chen, Lele, Ju, Sang-Yhun, Yang, Huazhen, Zeng, Yi, Gu, Danan, and Ng, Tze Pin
Published: 2021
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50. Singapore multidisciplinary consensus recommendations on muscle health in older adults: assessment and multimodal targeted intervention across the continuum of care

Author: Chew, Samuel T. H., Kayambu, Geetha, Lew, Charles Chin Han, Ng, Tze Pin, Ong, Fangyi, Tan, Jonathan, Tan, Ngiap Chuan, and Tham, Shuen-Loong
Published: 2021
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