| Literature DB >> 28617662 |
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