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1.
Heliyon ; 10(1): e23691, 2024 Jan 15.
Article in English | MEDLINE | ID: mdl-38192771

ABSTRACT

It is long observed that females tend to live longer than males in nearly every country. However, the underlying mechanism remains elusive. In this study, we discovered that genetic associations with longevity are on average stronger in females than in males through bio-demographic analyses of genome-wide association studies (GWAS) dataset of 2178 centenarians and 2299 middle-age controls of Chinese Longitudinal Healthy Longevity Study (CLHLS). This discovery is replicated across North and South regions of China, and is further confirmed by North-South discovery/replication analyses of different and independent datasets of Chinese healthy aging candidate genes with CLHLS participants who are not in CLHLS GWAS, including 2972 centenarians and 1992 middle-age controls. Our polygenic risk score analyses of eight exclusive groups of sex-specific genes, analyses of sex-specific and not-sex-specific individual genes, and Genome-wide Complex Trait Analysis using all SNPs all reconfirm that genetic associations with longevity are on average stronger in females than in males. Our discovery/replication analyses are based on genetic datasets of in total 5150 centenarians and compatible middle-age controls, which comprises the worldwide largest sample of centenarians. The present study's findings may partially explain the well-known male-female health-survival paradox and suggest that genetic variants may be associated with different reactions between males and females to the same vaccine, drug treatment and/or nutritional intervention. Thus, our findings provide evidence to steer away from traditional view that "one-size-fits-all" for clinical interventions, and to consider sex differences for improving healthcare efficiency. We suggest future investigations focusing on effects of interactions between sex-specific genetic variants and environment on longevity as well as biological function.

2.
Health Econ ; 24(6): 672-91, 2015 Jun.
Article in English | MEDLINE | ID: mdl-24777657

ABSTRACT

This paper investigates the effects of China's New Cooperative Medical Scheme (NCMS) on health outcomes and healthcare expenditure of the elderly in rural China, using panel data from the 2005 and 2008 waves of the Chinese Longitudinal Healthy Longevity Survey. We employ a strategy that combines propensity score matching with a difference-in-differences approach to address selection bias. Results show that the NCMS has significantly improved the elderly enrollees' activities of daily living and cognitive function but has not led to better self-assessed general health status. We find no significant effect of NCMS on mortality for the previously uninsured elderly in NCMS counties, although there is moderate evidence that it is associated with reduced mortality for the elderly enrollees. We also find that the elderly participants are more likely to get adequate medical services when sick, which provides a good explanation for the beneficial health effects of NCMS. However, there is no evidence that the NCMS has reduced their out-of-pocket spending. Furthermore, we also find that low-income seniors benefit more from NCMS participation in terms of health outcomes and perceived access to health care, suggesting that the NCMS helps reduce health inequalities among the rural elderly.


Subject(s)
Cognition , Health Expenditures/statistics & numerical data , Health Status , National Health Programs/economics , National Health Programs/statistics & numerical data , Activities of Daily Living , Age Factors , Aged , Aged, 80 and over , China , Female , Health Services Accessibility/statistics & numerical data , Humans , Longitudinal Studies , Male , Mortality/trends , Patient Acceptance of Health Care/statistics & numerical data , Rural Population/statistics & numerical data , Self Report , Sex Factors , Socioeconomic Factors
3.
J Gerontol A Biol Sci Med Sci ; 70(4): 426-33, 2015 Apr.
Article in English | MEDLINE | ID: mdl-24895270

ABSTRACT

Logistic regression analysis based on data from 822 Han Chinese oldest old aged 92+ demonstrated that interactions between carrying FOXO1A-266 or FOXO3-310 or FOXO3-292 and tea drinking at around age 60 or at present time were significantly associated with lower risk of cognitive disability at advanced ages. Associations between tea drinking and reduced cognitive disability were much stronger among carriers of the genotypes of FOXO1A-266 or FOXO3-310 or FOXO3-292 compared with noncarriers, and it was reconfirmed by analysis of three-way interactions across FOXO genotypes, tea drinking at around age 60, and at present time. Based on prior findings from animal and human cell models, we postulate that intake of tea compounds may activate FOXO gene expression, which in turn may positively affect cognitive function in the oldest old population. Our empirical findings imply that the health benefits of particular nutritional interventions, including tea drinking, may, in part, depend upon individual genetic profiles.


Subject(s)
Aging/genetics , Asian People/genetics , Cognition Disorders/prevention & control , Cognition/drug effects , Drinking Behavior , Forkhead Transcription Factors/genetics , Tea , Aged, 80 and over , Alleles , China/ethnology , Cognition Disorders/ethnology , Cognition Disorders/genetics , Evidence-Based Medicine , Female , Forkhead Box Protein O1 , Forkhead Box Protein O3 , Gene Expression , Genotype , Humans , Longitudinal Studies , Male , Phenotype , Risk Factors , Surveys and Questionnaires
4.
BMC Geriatr ; 13: 91, 2013 Sep 09.
Article in English | MEDLINE | ID: mdl-24016068

ABSTRACT

BACKGROUND: Existing literature indicates that ADRB2 gene is associated with health and longevity, but none of previous studies investigated associations of carrying the ADRB2 minor alleles and interactions between ADRB2 genotypes and social/behavioral factors(GxE) with health outcomes at advanced ages. This study intends to fill in this research gap. METHOD: We conducted an exploratory analysis, using longitudinal survey phenotype/genotype data from 877 oldest-old aged 90+. To estimate association of GxE interactions with health outcome, adjusted for the potential correlation between genotypes and social/behavioral factors and various other potentially confounding factors, we develop and test an innovative three-step procedure which combines logistic regression and structural equation methods. RESULTS: Interaction between regular exercise and carrying rs1042718 minor allele is significantly and positively associated with good cognitive function; interaction between regular exercise and carrying rs1042718 or rs1042719 minor allele is significantly and positively associated with self-reported good health; and interaction between social-leisure activities and carrying rs1042719 minor allele is significantly and positively associated with self-reported good health. Carrying rs1042718 or rs1042719 minor alleles is significantly and negatively associated with negative emotion, but the ADRB2 SNPs are not significantly associated with cognitive function and self-reported health. Our structural equation analysis found that, adjusted for the confounding effects of correlation of the ADRB2 SNPs with negative emotion, interaction between negative emotion and carrying rs1042718 or rs1042719 minor allele is significantly and negatively associated with cognitive function. The positive association of regular exercise and social-leisure activities with cognitive function and self-reported health, and negative association of negative emotion with cognitive function, were much stronger among carriers of rs1042718 or rs1042719 alleles, compared to the non-carriers. CONCLUSIONS: The results indicate significant positive associations of interactions between social/behavioral factors and the ADRB2 genotypes with health outcomes of cognitive function and self-reported health, and negative associations of carrying rs1042718 or rs1042719 minor alleles with negative emotion, at advanced ages in China. Our findings are exploratory rather than causal conclusions. This study implies that near-future health promotion programs considering individuals' genetic profiles, with appropriate protection of privacy/confidentiality, would yield increased benefits and reduced costs to the programs and their participants.


Subject(s)
Aging/genetics , Asian People/genetics , Genotype , Health Status , Receptors, Adrenergic, beta-2/genetics , Social Behavior , Aged, 80 and over , Asian People/ethnology , China/ethnology , Female , Health Surveys/methods , Humans , Longitudinal Studies , Male
5.
J Gerontol A Biol Sci Med Sci ; 65(12): 1285-99, 2010 Dec.
Article in English | MEDLINE | ID: mdl-20884733

ABSTRACT

Based on data from 760 centenarians and 1060 middle-age controls (all Han Chinese), this article contributes biodemographic insights and syntheses concerning the magnitude of effects of the FOXO genotypes on longevity. We also estimate independent and joint effects of the genotypes of FOXO1A and FOXO3A genes on long-term survival, considering carrying or not-carrying the minor allele of the single-nucleotide polymorphism of another relevant gene. We found substantial gender differences in the independent effects; positive effects of FOXO3A and negative effects of FOXO1A largely compensate each other if one carries both, although FOXO3A has a stronger impact. Ten-year follow-up cohort analysis shows that at very advanced ages 92-110, adjusted for various confounders, positive effects of FOXO3A on survival remain statistically significant, but no significant effects of FOXO1A alone; G × G interactions between FOXO1A-209 and FOXO3A-310 or FOXO3A-292 decrease survival likelihood by 32%-36% (p < .05); G × E interactions between FOXO1A-209 and regular exercise increase survival likelihood by 31%-32% (p < .05).


Subject(s)
Forkhead Transcription Factors/genetics , Longevity/genetics , Aged, 80 and over , Asian People/genetics , Cohort Studies , Female , Forkhead Box Protein O1 , Forkhead Box Protein O3 , Genotype , Heterozygote , Humans , Likelihood Functions , Longitudinal Studies , Male , Middle Aged , Probability , Proportional Hazards Models , Sex Factors , Survival Analysis
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