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- Kananen, L, et al.
(author)
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Circulating cell-free DNA in health and disease - the relationship to health behaviours, ageing phenotypes and metabolomics
- 2023
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In: GeroScience. - : Springer Science and Business Media LLC. - 2509-2723 .- 2509-2715. ; 45:1, s. 85-103
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Journal article (peer-reviewed)abstract
- Circulating cell-free DNA (cf-DNA) has emerged as a promising biomarker of ageing, tissue damage and cellular stress. However, less is known about health behaviours, ageing phenotypes and metabolic processes that lead to elevated cf-DNA levels. We sought to analyse the relationship of circulating cf-DNA level to age, sex, smoking, physical activity, vegetable consumption, ageing phenotypes (physical functioning, the number of diseases, frailty) and an extensive panel of biomarkers including blood and urine metabolites and inflammatory markers in three human cohorts (N = 5385; 17–82 years). The relationships were assessed using correlation statistics, and linear and penalised regressions (the Lasso), also stratified by sex.cf-DNA levels were significantly higher in men than in women, and especially in middle-aged men and women who smoke, and in older more frail individuals. Correlation statistics of biomarker data showed that cf-DNA level was higher with elevated inflammation (C-reactive protein, interleukin-6), and higher levels of homocysteine, and proportion of red blood cells and lower levels of ascorbic acid. Inflammation (C-reactive protein, glycoprotein acetylation), amino acids (isoleucine, leucine, tyrosine), and ketogenesis (3-hydroxybutyrate) were included in the cf-DNA level-related biomarker profiles in at least two of the cohorts.In conclusion, circulating cf-DNA level is different by sex, and related to health behaviour, health decline and metabolic processes common in health and disease. These results can inform future studies where epidemiological and biological pathways of cf-DNA are to be analysed in details, and for studies evaluating cf-DNA as a potential clinical marker.
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- Kananen, L, et al.
(author)
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Circulating cell-free DNA level predicts all-cause mortality independent of other predictors in the Health 2000 survey
- 2020
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In: Scientific reports. - : Springer Science and Business Media LLC. - 2045-2322. ; 10:1, s. 13809-
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Journal article (peer-reviewed)abstract
- Increased levels of circulating cell-free DNA (cf-DNA) are associated with and predict poor health outcomes. However, its predictive ability for mortality in population-based samples remains understudied. We analysed the capability of cf-DNA to predict all-cause mortality and assessed whether it adds predictive value on top of the other risk factors in the Health 2000 survey (n = 1,257, 46–76 years of age, 15-years-follow-up, 18% deceased). When analysed in a multivariate model with the other factors that independently predicted mortality in the sample (age, gender, self-rated health, smoking and plasma levels of glucose and adiponectin), increases in cf-DNA levels were associated with increased risk of mortality (hazard ratio [HR] for 0.1 µg increase in cf-DNA: 1.017, 95% confidence interval [CI] 1.008–1.026, p = 0.0003). Inclusion of cf-DNA in the model improved the model fit and discrimination. Stratifying the analysis by cardiovascular disease (CVD) status indicated that cf-DNA predicted mortality equally well in individuals with (HR 1.018, 95% CI 1.008–1.026, p = 0.002) and without (HR 1.018, 95% CI 1.001–1.035, p = 0.033) CVD. In conclusion, our study indicates that cf-DNA level predicts mortality in middle-aged and older individuals, also among those with established CVD, and adds significant value to mortality prediction. Our results thus underscore the role of cf-DNA as a viable marker of health.
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- Myllyntausta, S, et al.
(author)
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Why do men extend their employment beyond pensionable age more often than women? a cohort study
- 2022
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In: European journal of ageing. - : Springer Science and Business Media LLC. - 1613-9372 .- 1613-9380. ; 19:3, s. 599-608
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Journal article (peer-reviewed)abstract
- Men extend their employment beyond pensionable age more often than women, but the factors that contribute to this sex difference are unknown. This study aimed to examine sex differences in extending employment and the contribution of sociodemographic, work- and health-related factors to these differences. Participants of this prospective cohort study were 4,263 public sector employees from Finland who reached their individual pensionable date between 2014 and 2019 and responded to a survey on work- and non-work-related issues before that date. Extended employment was defined as continuing working for over six months beyond the individual pensionable date. We used mediation analysis to examine the contribution of explanatory factors to the association between sex and extended employment. Of the participants, 29% extended employment beyond the pensionable date. Men had a 1.29-fold (95% confidence interval 1.11–1.49) higher probability of extending employment compared with women. Men had a higher prevalence of factors that increase the likelihood of extended employment than women (such as spouse working full-time, no part-time retirement, low job strain, high work time control, and lack of pain) and this mediated the association of sex with extended employment by up to 83%. In conclusion, men were more likely to extend their employment beyond pensionable age than women. This difference was largely explained by men being more likely to have a full-time working spouse, low job strain, high work time control, no pain, and not being on part-time retirement.
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- Stenholm, S., et al.
(author)
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Patterns of weight gain in middle-aged and older US adults from 1992-2010
- 2015
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In: Epidemiology. - 1044-3983 .- 1531-5487. ; 26:2, s. 165-168
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Journal article (peer-reviewed)abstract
- Background: Cross-sectional analyses of national data have found that persons with high baseline body mass index (BMI) gain weight faster than persons at the median and that those whose weight was below the median gain very little weight. However, it is not clear whether these population-level changes reflect patterns at the individual level. Methods: We examined longitudinal changes in BMI in initially underweight, normal-weight, overweight, and obese US men and women using individual-level repeat data from the Health and Retirement Study (n = 15,895; age range, 40-69 years at baseline). Linear mixed-effect regression was used to model 6-year change in self-reported BMI during 4 study periods (1992/1994-1998/2000, 1996/1998-2002/2004, 2000/2002-2006/2008, and 2004-2010). Results: In the first 6-year period, the mean increase in BMI was greatest among persons who were initially normal weight (0.3 kg/m(2) [95% confidence interval = 0.2 to 0.4]) and overweight (0.2 kg/m(2) [0.1 to 0.3]). Weight gain accelerated in these groups with each subsequent period. Weight gain was less for initially class-I obese participants, and a net decrease in BMI was observed for class-II obese participants. Conclusion: These analyses suggest that the change in mean BMI among middle-aged and older US adults between 1992 and 2010 resulted mainly from accelerated weight gain among persons who were initially normal weight and overweight.
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