BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

181 related articles for article (PubMed ID: 34839456)

  • 1. Population-attributable fractions of risk factors for all-cause dementia in China rural and urban areas: a cross-sectional study.
    Hu FF; Cheng GR; Liu D; Liu Q; Gan XG; Li L; Wang XD; Zhang B; An LN; Chen C; Zou MJ; Xu L; Ou YM; Chen YS; Li JQ; Wei Z; Wang YY; Wu Q; Chen XX; Yang XF; Wu QM; Feng L; Zhang JJ; Xu H; Yu YF; Yang ML; Qian J; Lian PF; Fu LY; Duan TT; Tian Y; Cheng X; Li XW; Yan PT; Huang G; Dong H; Ji Y; Zeng Y
    J Neurol; 2022 Jun; 269(6):3147-3158. PubMed ID: 34839456
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Population attributable fractions for risk factors for dementia in low-income and middle-income countries: an analysis using cross-sectional survey data.
    Mukadam N; Sommerlad A; Huntley J; Livingston G
    Lancet Glob Health; 2019 May; 7(5):e596-e603. PubMed ID: 31000129
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Temporal trends and disparities of population attributable fractions of modifiable risk factors for dementia in China: a time-series study of the China health and retirement longitudinal study (2011-2018).
    Chen S; Chen X; Hou X; Fang H; Liu GG; Yan LL
    Lancet Reg Health West Pac; 2024 Jun; 47():101106. PubMed ID: 38872868
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The prevalence of dementia in urban and rural areas of China.
    Jia J; Wang F; Wei C; Zhou A; Jia X; Li F; Tang M; Chu L; Zhou Y; Zhou C; Cui Y; Wang Q; Wang W; Yin P; Hu N; Zuo X; Song H; Qin W; Wu L; Li D; Jia L; Song J; Han Y; Xing Y; Yang P; Li Y; Qiao Y; Tang Y; Lv J; Dong X
    Alzheimers Dement; 2014 Jan; 10(1):1-9. PubMed ID: 23871765
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Temporal trends in population attributable fractions of modifiable risk factors for dementia: a time-series study of the English Longitudinal Study of Ageing (2004-2019).
    Chen S; Underwood BR; Cardinal RN; Chen X; Chen S; Amin J; Jin H; Huang J; Mueller C; Yan LL; Brayne C; Kuper H
    BMC Med; 2024 Jun; 22(1):268. PubMed ID: 38926751
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Variation in Population Attributable Fraction of Dementia Associated With Potentially Modifiable Risk Factors by Race and Ethnicity in the US.
    Lee M; Whitsel E; Avery C; Hughes TM; Griswold ME; Sedaghat S; Gottesman RF; Mosley TH; Heiss G; Lutsey PL
    JAMA Netw Open; 2022 Jul; 5(7):e2219672. PubMed ID: 35793088
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Potentially modifiable dementia risk factors in all Australians and within population groups: an analysis using cross-sectional survey data.
    See RS; Thompson F; Russell S; Quigley R; Esterman A; Harriss LR; Hyde Z; Taylor S; Radford K; LoGiudice D; McDermott R; Livingston G; Strivens E
    Lancet Public Health; 2023 Sep; 8(9):e717-e725. PubMed ID: 37633680
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Population attributable fractions for risk factors and disability burden of dementia in Jiangxi Province, China: a cross-sectional study.
    Wu Y; Zheng H; Xu F; Guo J; Liu Z; Wang S; Chen X; Cao Y; Zou W; Hu S
    BMC Geriatr; 2022 Oct; 22(1):811. PubMed ID: 36271341
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Differences in prevalence of hypertension and associated risk factors in urban and rural residents of the northeastern region of the People's Republic of China: A cross-sectional study.
    Wang J; Sun W; Wells GA; Li Z; Li T; Wu J; Zhang Y; Liu Y; Li L; Yu Y; Liu Y; Qi C; Lu Y; Liu N; Yan Y; Liu L; Hui G; Liu B
    PLoS One; 2018; 13(4):e0195340. PubMed ID: 29621328
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Population attributable fractions of modifiable risk factors for dementia: a systematic review and meta-analysis.
    Stephan BCM; Cochrane L; Kafadar AH; Brain J; Burton E; Myers B; Brayne C; Naheed A; Anstey KJ; Ashor AW; Siervo M
    Lancet Healthy Longev; 2024 Jun; 5(6):e406-e421. PubMed ID: 38824956
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Urban, semi-urban and rural difference in the prevalence of metabolic syndrome in Shaanxi province, northwestern China: a population-based survey.
    Xu S; Ming J; Yang C; Gao B; Wan Y; Xing Y; Zhang L; Ji Q
    BMC Public Health; 2014 Feb; 14():104. PubMed ID: 24484601
    [TBL] [Abstract][Full Text] [Related]  

  • 12. The Hubei Memory and Aging Cohort Study: Study Design, Baseline Characteristics, and Prevalence of Cognitive Impairments.
    Li L; Cheng GR; Liu D; Hu FF; Gan XG; Zhang B; An L; Chen C; Zou MJ; Xu L; Ou YM; Chen YS; Li JQ; Wei Z; Wu Q; Chen XX; Guo MQ; Wu QM; Wang R; Zeng Y
    J Alzheimers Dis; 2022; 85(2):561-571. PubMed ID: 34842190
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Rural-urban differentials of prevalence and lifestyle determinants of pre-diabetes and diabetes among the elderly in southwest China.
    Zhao Y; Li HF; Wu X; Li GH; Golden AR; Cai L
    BMC Public Health; 2023 Mar; 23(1):603. PubMed ID: 36997910
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Urban-rural comparisons in health risk factor, health status and outcomes in Tianjin, China: A cross-sectional survey (2009-2013).
    Luo D; Du J; Wang P; Yang W
    Aust J Rural Health; 2019 Dec; 27(6):535-541. PubMed ID: 31614059
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Prevalence and risk factors of refractive error: a cross-sectional Study in Han and Yi adults in Yunnan, China.
    Wang M; Cui J; Shan G; Peng X; Pan L; Yan Z; Zhang J; Zhong Y; Ma J
    BMC Ophthalmol; 2019 Jan; 19(1):33. PubMed ID: 30683073
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Differences in the potential for dementia prevention between major ethnic groups within one country: A cross sectional analysis of population attributable fraction of potentially modifiable risk factors in New Zealand.
    Ma'u E; Cullum S; Cheung G; Livingston G; Mukadam N
    Lancet Reg Health West Pac; 2021 Aug; 13():100191. PubMed ID: 34527984
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Prevalence of mild cognitive impairment and its subtypes in community-dwelling residents aged 65 years or older in Guangzhou, China.
    Rao D; Luo X; Tang M; Shen Y; Huang R; Yu J; Ren J; Cheng X; Lin K
    Arch Gerontol Geriatr; 2018; 75():70-75. PubMed ID: 29197258
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Metabolic Risk Factors of Type 2 Diabetes Mellitus and Correlated Glycemic Control/Complications: A Cross-Sectional Study between Rural and Urban Uygur Residents in Xinjiang Uygur Autonomous Region.
    Du GL; Su YX; Yao H; Zhu J; Ma Q; Tuerdi A; He XD; Wang L; Wang ZQ; Xiao S; Wang SX; Su LP
    PLoS One; 2016; 11(9):e0162611. PubMed ID: 27622506
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Potentially modifiable risk factors for dementia in six low-income and middle-income countries: A multinational, population-based survey.
    Feter N; Feter JS; Borelli WV; Rombaldi AJ; Castilhos RM
    Maturitas; 2024 May; 183():107968. PubMed ID: 38484600
    [TBL] [Abstract][Full Text] [Related]  

  • 20. The contribution of chronic diseases to the prevalence of dependence among older people in Latin America, China and India: a 10/66 Dementia Research Group population-based survey.
    Sousa RM; Ferri CP; Acosta D; Guerra M; Huang Y; Jacob K; Jotheeswaran A; Hernandez MA; Liu Z; Pichardo GR; Rodriguez JJ; Salas A; Sosa AL; Williams J; Zuniga T; Prince M
    BMC Geriatr; 2010 Aug; 10():53. PubMed ID: 20691064
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.