scholarly journals Drivers of Frailty from Adulthood into Old Age: Results from a 27-year Longitudinal Population-Based Study in Sweden

2019 ◽  
Author(s):  
Emma Raymond ◽  
Chandra A. Reynolds ◽  
Anna K. Dahl Aslan ◽  
Deborah Finkel ◽  
Malin Ericsson ◽  
...  
Keyword(s):  
Social Support ◽  
Strong Predictor ◽  
Frailty Index ◽  
Population Based ◽  
Overweight And Obesity ◽  
Rate Of Change ◽  
Growth Curve Analysis ◽  
Age Related ◽  
Rate Of Increase ◽  
Latent Growth Curve Analysis

AbstractBackgroundFrailty is a strong predictor of adverse aging outcomes. However, the longitudinal drivers of frailty are not well understood. This study aimed at investigating the longitudinal trajectories of a frailty index (FI) from adulthood to late life and identifying the predictors of the level and rate of change in FI.MethodsAn age-based latent growth curve analysis was performed in the Swedish Adoption/Twin Study of Aging (N=1,842; aged 29-102 years) using data from up to 15 measurement waves across 27 years. A 42-item FI was used to measure frailty at each wave.ResultsA bilinear, two-slope model with a turning point at age 65 best described the age-related change in FI, showing that the rate of increase in frailty was more than twice as fast after age 65. Underweight, obesity, female sex, overweight, being separated from one’s co-twin during childhood, smoking, poor social support and low physical activity were associated with a higher level of FI at age 65, with underweight having the largest effect size. When tested as time-varying predictors, underweight and higher social support were associated with a steeper increase in FI before age 65, whereas overweight and obesity were associated with less steep increase in FI after age 65.ConclusionsPredictors for the level and rate of change in frailty are largely actionable and could provide targets for intervention. Underweight increased the risk of higher FI trajectory until age 65, whereas being overweight or obese were associated with slower progression of frailty towards the oldest ages.

scholarly journals Drivers of Frailty from Adulthood into Old Age: Results from a 27-Year Longitudinal Population-Based Study in Sweden

2020 ◽  
Vol 75 (10) ◽  
pp. 1943-1950 ◽  
Author(s):  
Emma Raymond ◽  
Chandra A Reynolds ◽  
Anna K Dahl Aslan ◽  
Deborah Finkel ◽  
Malin Ericsson ◽  
...  
Keyword(s):  
Social Support ◽  
Strong Predictor ◽  
Frailty Index ◽  
Overweight And Obesity ◽  
Adverse Outcomes ◽  
Rate Of Change ◽  
Growth Curve Analysis ◽  
Factors Associated ◽  
Age Related ◽  
Time Varying Covariates

Abstract Background Frailty is a strong predictor of adverse outcomes. However, longitudinal drivers of frailty are not well understood. This study aimed at investigating the longitudinal trajectories of a frailty index (FI) from adulthood to late life and identifying the factors associated with the level and rate of change in FI. Methods An age-based latent growth curve analysis was performed in the Swedish Adoption/Twin Study of Aging (N = 1,842; aged 29–102 years) using data from up to 15 measurement waves across 27 years. A 42-item FI was used to measure frailty at each wave. Results A bilinear, two-slope model with a turning point at age 65 best described the age-related change in FI, showing that the increase in frailty was more than twice as fast after age 65. Underweight, obesity, female sex, overweight, being separated from one’s co-twin during childhood, smoking, poor social support, and low physical activity were associated with a higher FI at age 65, with underweight having the largest effect size. When tested as time-varying covariates, underweight and higher social support were associated with a steeper increase in FI before age 65, whereas overweight and obesity were associated with less steep increase in FI after age 65. Conclusions Factors associated with the level and rate of change in frailty are largely actionable and could provide targets for intervention. As deviations from normal weight showed the strongest associations with frailty, future public health programs could benefit from monitoring of individuals with abnormal BMI, especially those who are underweight.

scholarly journals Plasmatic Hippuric Acid as a Hallmark of Frailty in an Italian Cohort: The Mediation Effect of Fruit–Vegetable Intake

2021 ◽  
Author(s):  
Laura Brunelli ◽  
Annalisa Davin ◽  
Giovanna Sestito ◽  
Maria Chiara Mimmi ◽  
Giulia De Simone ◽  
...  
Keyword(s):  
Older Adults ◽  
Hippuric Acid ◽  
Vegetable Intake ◽  
Vegetable Consumption ◽  
Frailty Index ◽  
Population Based ◽  
Mediation Effect ◽  
Older Individuals ◽  
Related Condition ◽  
Age Related

Abstract Frailty syndrome is an age-related condition involving a loss of resilience, susceptibility to adverse health outcomes, and poor quality of life. This study was conducted in the framework of InveCe.Ab, an ongoing longitudinal population-based study. Plasma from 130 older individuals (older adults aged 76–78 years) was analyzed and validated (on 303 participants) using mass spectrometry-based metabolomics approaches. Equivalence tests showed that metabolites from the central cellular metabolic pathways were equivalent in frail and fit participants. Hippuric acid was the only cometabolite that distinguished fit from frail older adults. Logistic regression analysis indicated that high hippuric acid levels are significantly associated with a reduction of the risk of frailty after 4 years. Mediation analysis using a Frailty Index, hippuric acid, and fruit–vegetable intake supported the role of fruit–vegetable consumption in the hippuric acid relationship with the Frailty Index. These data point to low plasma hippuric acid as a plausible hallmark of frailty status, associated with lower fruit–vegetable intakes.

scholarly journals Gut Microbiota Predicts Healthy Late-Life Aging in Male Mice

Nutrients ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 3290
Author(s):  
Shanlin Ke ◽  
Sarah J. Mitchell ◽  
Michael R. MacArthur ◽  
Alice E. Kane ◽  
David A. Sinclair ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Aging Process ◽  
Healthy Aging ◽  
Frailty Index ◽  
Machine Learning Techniques ◽  
Age Related ◽  
Rate Of Increase ◽  
Reduced Rate ◽  
Compositional Patterns ◽  
Old Mice

Calorie restriction (CR) extends lifespan and retards age-related chronic diseases in most species. There is growing evidence that the gut microbiota has a pivotal role in host health and age-related pathological conditions. Yet, it is still unclear how CR and the gut microbiota are related to healthy aging. Here, we report findings from a small longitudinal study of male C57BL/6 mice maintained on either ad libitum or mild (15%) CR diets from 21 months of age and tracked until natural death. We demonstrate that CR results in a significantly reduced rate of increase in the frailty index (FI), a well-established indicator of aging. We observed significant alterations in diversity, as well as compositional patterns of the mouse gut microbiota during the aging process. Interrogating the FI-related microbial features using machine learning techniques, we show that gut microbial signatures from 21-month-old mice can predict the healthy aging of 30-month-old mice with reasonable accuracy. This study deepens our understanding of the links between CR, gut microbiota, and frailty in the aging process of mice.

scholarly journals 103 Periodontal Health and Sarcopenia: Cross-Sectional Evidence From A Cohort of 2040 Twin Volunteers

2021 ◽  
Vol 50 (Supplement_1) ◽  
pp. i12-i42
Author(s):  
M B Zazzara ◽  
P M Wells ◽  
R C E Bowyer ◽  
M N Lochlainn ◽  
E J Thompson ◽  
...  
Keyword(s):  
Mixed Model ◽  
Linear Mixed Model ◽  
Frailty Index ◽  
Muscle Quality ◽  
Low Grade ◽  
Periodontal Health ◽  
Cross Sectional ◽  
Age Related ◽  
European Working ◽  
Generalised Linear Mixed Model

Abstract Introduction Periodontitis is a chronic inflammatory disease affecting the periodontium, ultimately leading to looseness and/or loss of teeth. Sarcopenia refers to age-related reduction in muscle mass and strength. Similar to periodontitis, chronic low-grade inflammation is thought to play a key role in its development. In addition, both increase in prevalence with advancing age. Despite known associations with other diseases involving a dysregulated inflammatory response, for example rheumatoid arthritis,, the relationship between periodontitis and sarcopenia, and whether they could be driven by similar processes, remains uncertain. The aim of this study was to explore the association between periodontitis and sarcopenia. Methods Observational study of 2040 adult volunteers [age 67.18 (12.17)] enrolled in the TwinsUK cohort study. Presence of tooth mobility and number of teeth lost were used to assess periodontal health. A binary variable was created to define periodontitis. Measurements of muscle strength, muscle quality/quantity and physical performance were used to assess sarcopenia. A categorical variable was created according to the European Working Group on Sarcopenia in Older People (EWGSOP2) consensus, to define sarcopenia (1: probable; 2: positive; 3: severe). Generalised linear mixed model analysis used on complete cases and age-matched (n = 1,288) samples to ascertain associations between periodontitis and sarcopenia. Results No significant association was found between periodontitis and sarcopenia in both the complete cases analysis and age-matched analysis. Results were consistent when analysis was adjusted for potential confounders including body mass index, frailty index, Mini Mental State Examination smoking, nutritional status and educational level. Conclusions This study found no significant association between periodontitis and sarcopenia in a cohort of 2040 adults. Although both periodontitis and sarcopenia have been linked to a dysregulated immune response and demonstrate an increase in prevalence with increasing age, our work is inconclusive due to the plethora of possible aetiopathogenetic pathways.

scholarly journals Incidence of diabetes mellitus among people living with and without HIV in British Columbia, Canada between 2001 and 2013: a longitudinal population-based cohort study

BMJ Open ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. e048744
Author(s):  
Andreea Bratu ◽  
Taylor McLinden ◽  
Katherine Kooij ◽  
Monica Ye ◽  
Jenny Li ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
British Columbia ◽  
Cohort Study ◽  
Population Based ◽  
Incidence Rates ◽  
Trend Test ◽  
People Living With Hiv ◽  
Age Related ◽  
Hiv Serostatus ◽  
The Impact

IntroductionPeople living with HIV (PLHIV) are increasingly at risk of age-related comorbidities such as diabetes mellitus (DM). While DM is associated with elevated mortality and morbidity, understanding of DM among PLHIV is limited. We assessed the incidence of DM among people living with and without HIV in British Columbia (BC), Canada, during 2001–2013.MethodsWe used longitudinal data from a population-based cohort study linking clinical data and administrative health data. We included PLHIV who were antiretroviral therapy (ART) naïve at baseline, and 1:5 age-sex-matched persons without HIV. All participants had ≥5 years of historic data pre-baseline and ≥1 year(s) of follow-up. DM was identified using the BC Ministry of Health’s definitions applied to hospitalisation, physician billing and drug dispensation datasets. Incident DM was identified using a 5-year run-in period. In addition to unadjusted incidence rates (IRs), we estimated adjusted incidence rate ratios (IRR) using Poisson regression and assessed annual trends in DM IRs per 1000 person years (PYs) between 2001 and 2013.ResultsA total of 129 PLHIV and 636 individuals without HIV developed DM over 17 529 PYs and 88,672 PYs, respectively. The unadjusted IRs of DM per 1000 PYs were 7.4 (95% CI 6.2 to 8.8) among PLHIV and 7.2 (95% CI 6.6 to 7.8) for individuals without HIV. After adjustment for confounding, HIV serostatus was not associated with DM incidence (adjusted IRR: 1.03, 95% CI 0.83 to 1.27). DM incidence did not increase over time among PLHIV (Kendall trend test: p=0.9369), but it increased among persons without HIV between 2001 and 2013 (p=0.0136).ConclusionsAfter adjustment, HIV serostatus was not associated with incidence of DM, between 2001 and 2013. Future studies should investigate the impact of ART on mitigating the potential risk of DM among PLHIV.

scholarly journals Modeling Hearing Loss Progression and Asymmetry in the Older Old: A National Population-Based Survey

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 214-215
Author(s):  
Rahul Sharma ◽  
Anil Lalwani ◽  
Justin Golub
Keyword(s):  
Hearing Loss ◽  
Pure Tone ◽  
Population Level ◽  
Population Based ◽  
National Database ◽  
Cross Sectional ◽  
Adult Lifespan ◽  
Pure Tone Average ◽  
Age Related ◽  
Public Datasets

Abstract The progression and asymmetry of age-related hearing loss has not been well characterized in those 80 years of age and older because public datasets mask upper extremes of age to protect anonymity. We aimed to model the progression and asymmetry of hearing loss in the older old using a representative, national database. This was a cross-sectional, multicentered US epidemiologic analysis using the National Health and Nutrition Examination Study (NHANES) 2005-2006, 2009-2010, and 2011-2012 cycles. Subjects included non-institutionalized, civilian adults 80 years and older (n=621). Federal security clearance was granted to access publicly-restricted age data. Outcome measures included pure-tone average air conduction thresholds and the 4-frequency pure tone average (PTA). 621 subjects were 80 years old or older (mean=84.2 years, range=80-104 years), representing 10,600,197 Americans. Hearing loss exhibited constant acceleration across the adult lifespan at a rate of 0.0052 dB/year2 (95% CI = 0.0049, 0.0055). Compounded over a lifetime, the velocity of hearing loss would increase five-fold, from 0.2 dB loss/year at age 20 to 1 dB loss/year at age 100. This model predicted mean PTA within 2 dB of accuracy for most ages between 20 and 100 years. There was no change in the asymmetry of hearing loss with increasing age over 80 years (linear regression coefficient of asymmetry over age=0.07 (95% CI=-0.01, 0.24). In conclusion, hearing loss steadily and predictably accelerates across the adult lifespan to at least age 100, becoming near-universal. These population-level statistics will guide treatment and policy recommendations for hearing health in the older old.

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