Literature DB >> 28617662

Telomere Length and Accelerated Biological Aging in the China Suboptimal Health Cohort: A Case-Control Study.

Mohamed Ali Alzain1,2,3, Collins Otieno Asweto2, Jie Zhang1,2, Honghong Fang1,2, Zhongyao Zhao1,2, Xiuhua Guo1,2, Manshu Song1,2, Yong Zhou4,5, Naibai Chang6, Youxin Wang1,2, Wei Wang1,2,7.   

Abstract

Suboptimal health status (SHS) has been linked to cardiovascular risk factors, psychosocial stress, and unhealthy lifestyle. These factors also contribute to the shortening of telomere length (TL). A case-control study was conducted to examine the association between subjective health measures of SHS from the behavior perspective and also objective measures of TL at molecular level. SHS (cases = 294) was matched by age, sex, and body mass index with ideal health (controls = 294) using a propensity score matching method. Suboptimal health status questionnaire-25 (SHSQ-25) was used in the community-based health survey. A quantitative polymerase chain reaction was used to measure relative telomere length (RTL). Shorter RTL was found among the SHS group compared to the ideal health group (p < 0.05). SHS was almost four times likely to be in the first quartile (odds ratio [OR] = 3.81; 95% confidence interval [CI] 2.21-6.56), almost thrice in second quartile (OR = 2.84; 95% CI 1.65-4.90), and almost twice likely to be in the third quartile (OR = 1.71; 95% CI 1.00-2.94) compared to the fourth quartile (the longest) of RTL after adjusting for socioeconomic, dietary intake, anthropometric, blood pressure, and biochemistry variables (p < 0.05). Notably, SHS score was negatively correlated with RTL (r = -0.218, p < 0.05). Our study confirms an association between SHS and short RTL. Combination of subjective (SHS) and objective (RTL) measures is a novel tool for health aging investigation. Therefore, SHSQ-25 could be used as a screening tool for measuring biological aging in low-income countries at community level where the expensive technique for RTL measurement is not applicable.

Entities:  

Keywords:  and China suboptimal health cohort study; relative telomere length; suboptimal health status

Mesh:

Year:  2017        PMID: 28617662     DOI: 10.1089/omi.2017.0050

Source DB:  PubMed          Journal:  OMICS        ISSN: 1536-2310


  17 in total

1.  Incorporation of suboptimal health status as a potential risk assessment for type II diabetes mellitus: a case-control study in a Ghanaian population.

Authors:  Eric Adua; Peter Roberts; Wei Wang
Journal:  EPMA J       Date:  2017-10-18       Impact factor: 6.543

2.  Glycomic biomarkers are instrumental for suboptimal health status management in the context of predictive, preventive, and personalized medicine.

Authors:  Xiaoni Meng; Biyan Wang; Xizhu Xu; Manshu Song; Haifeng Hou; Wei Wang; Youxin Wang
Journal:  EPMA J       Date:  2022-04-11       Impact factor: 8.836

3.  Integration of suboptimal health status evaluation as a criterion for prediction of preeclampsia is strongly recommended for healthcare management in pregnancy: a prospective cohort study in a Ghanaian population.

Authors:  Enoch Odame Anto; Peter Roberts; David Coall; Cornelius Archer Turpin; Eric Adua; Youxin Wang; Wei Wang
Journal:  EPMA J       Date:  2019-08-05       Impact factor: 6.543

4.  Suboptimal health status as an independent risk factor for type 2 diabetes mellitus in a community-based cohort: the China suboptimal health cohort study.

Authors:  Siqi Ge; Xizhu Xu; Jie Zhang; Haifeng Hou; Hao Wang; Di Liu; Xiaoyu Zhang; Manshu Song; Dong Li; Yong Zhou; Youxin Wang; Wei Wang
Journal:  EPMA J       Date:  2019-01-24       Impact factor: 6.543

5.  Latent class analysis to evaluate performance of plasma cortisol, plasma catecholamines, and SHSQ-25 for early recognition of suboptimal health status.

Authors:  Yu-Xiang Yan; Li-Juan Wu; Huan-Bo Xiao; Shuo Wang; Jing Dong; Wei Wang
Journal:  EPMA J       Date:  2018-08-01       Impact factor: 6.543

6.  Suboptimal health status and psychological symptoms among Chinese college students: a perspective of predictive, preventive and personalised health.

Authors:  Haifeng Hou; Xia Feng; Yuejin Li; Zixiu Meng; Dongmei Guo; Fang Wang; Zheng Guo; Yulu Zheng; Zhiqi Peng; Wangxin Zhang; Dong Li; Guoyong Ding; Wei Wang
Journal:  EPMA J       Date:  2018-08-28       Impact factor: 6.543

7.  Associated Factors of Suboptimal Health Status Among Adolescents in China: A Cross-Sectional Study.

Authors:  Gehendra Mahara; Jiazhi Liang; Zhirong Zhang; Qi Ge; Jinxin Zhang
Journal:  J Multidiscip Healthc       Date:  2021-05-07

8.  Blood transcriptome profiling as potential biomarkers of suboptimal health status: potential utility of novel biomarkers for predictive, preventive, and personalized medicine strategy.

Authors:  Hao Wang; Qiuyue Tian; Jie Zhang; Hongqi Liu; Jinxia Zhang; Weijie Cao; Xiaoyu Zhang; Xingang Li; Lijuan Wu; Manshu Song; Yuanyuan Kong; Wei Wang; Youxin Wang
Journal:  EPMA J       Date:  2021-04-20       Impact factor: 8.836

9.  Population-based case-control study revealed metabolomic biomarkers of suboptimal health status in Chinese population-potential utility for innovative approach by predictive, preventive, and personalized medicine.

Authors:  Hao Wang; Qiuyue Tian; Jie Zhang; Hongqi Liu; Xiaoyu Zhang; Weijie Cao; Jinxia Zhang; Enoch Odame Anto; Xingang Li; Xueqing Wang; Di Liu; Yulu Zheng; Zheng Guo; Lijuan Wu; Manshu Song; Youxin Wang; Wei Wang
Journal:  EPMA J       Date:  2020-03-23       Impact factor: 6.543

10.  Construct validity of the Suboptimal Health Status Questionnaire-25 in a Ghanaian population.

Authors:  Eric Adua; Ebenezer Afrifa-Yamoah; Kwasi Frimpong; Esther Adama; Shantha P Karthigesu; Enoch Odame Anto; Emmanuel Aboagye; Yuxiang Yan; Youxin Wang; Xuerui Tan; Wei Wang
Journal:  Health Qual Life Outcomes       Date:  2021-07-19       Impact factor: 3.186

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