ASSOCIATION OF C REACTIVE PROTEIN WITH MOBILITY MEASURES IN COMMUNITY DWELLING OLDER ADULTS

Abstract Background This study aims to investigate the predictive value of biological and neuroimaging markers to determine incident frailty among older people for a period of 5 years. Methods We included 1394 adults aged 70 years and older from the Multidomain Alzheimer Preventive Trial, who were not frail at baseline (according to Fried’s criteria) and who had at least 1 post-baseline measurement of frailty. Participants who progressed to frailty during the 5-year follow-up were categorized as “incident frailty” and those who remained non-frail were categorized as “without frailty.” The differences of baseline biochemical factors (25-hydroxyvitamin D, homocysteine, omega-3 index, C-reactive protein), other biological markers (Apolipoprotein E genotypes, amyloid-β deposits), and neuroimaging data (gray matter volume, hippocampal volume, white matter hyperintensities) were compared between groups. Cox proportional hazard model was used to evaluate the associations between biomarkers and incident frailty. Results A total of 195 participants (14.0%) became frail over 5 years. Although 25-hydroxyvitamin D deficiency, homocysteine levels, low-grade inflammation (persistently increased C-reactive protein 3–10 mg/L), gray matter, and hippocampal volume were significantly associated with incident frailty in unadjusted models, these associations disappeared after adjustment for age, sex, and other confounders. Omega-3 index was the sole marker that presented a trend of association with incident frailty (hazard ratio: 0.92; 95% confidence interval: 0.83–1.01; p = .082). Conclusions This study failed to identify biomarkers able to predict frailty incidence in community-dwelling older adults for a period of 5 years. Further longitudinal research with multiple measurements of biomarkers and frailty is needed to evaluate the long-term relationships between changes in biomarkers levels and frailty evolution.

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The Home, Block, and Community Environments and Biomarkers of Aging in the National Health and Aging Trends Study

Innovation in Aging ◽

10.1093/geroni/igaa057.1976 ◽

2020 ◽

Vol 4 (Supplement_1) ◽

pp. 590-590

Author(s):

Laken Roberts ◽

Laura Samuel ◽

Danielle Boyce ◽

Melissa Hladek ◽

Sarah LaFave ◽

...

Keyword(s):

Older Adults ◽

Community Dwelling ◽

Diabetes Diagnosis ◽

Housing Type ◽

Cross Sectional ◽

Reactive Protein ◽

Biomarkers Of Aging ◽

Race Ethnicity ◽

Community Environments ◽

Community Dwelling Older Adults

Abstract Prior studies have linked household and community conditions to the health and functioning of older adults. However, few studies have investigated associations between household, block, and community environmental conditions with biomarkers of aging. This study used NHATS Round 7 (2017) data on 3,283 community-dwelling older adults to test cross-sectional associations between interior and exterior household disorder, block disorder, community social cohesion, and four biomarkers: C-reactive protein, hemoglobin A1c, cytomegalovirus, and interleukin-6. Survey-weighted models adjusted for age, sex, race/ethnicity, income, education, homeownership, housing type, and metropolitan area; HbA1c was stratified by diabetes diagnosis. Greater interior household disorder was associated with higher IL-6 (β=0.06, SE=0.025, p=0.014) and, among diabetics, greater block disorder was associated with higher HbA1c (β=0.11, SE=0.05, p=0.046). These results link home and block environmental characteristics with biomarkers of aging, suggesting that modifiable aspects of older adults’ living environments may be related to disease and disability risk via physiologic dysregulation.

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Residential Street Block Disorder and Biological Markers of Aging in Older Adults: The National Health and Aging Trends Study

The Journals of Gerontology Series A ◽

10.1093/gerona/glab166 ◽

2021 ◽

Author(s):

Laken C Roberts Lavigne ◽

Jing Tian ◽

Melissa Hladek ◽

Sarah E LaFave ◽

Sarah L Szanton ◽

...

Keyword(s):

Older Adults ◽

Propensity Score ◽

National Health ◽

Interleukin 6 ◽

Hemoglobin A1c ◽

Community Dwelling ◽

Neighborhood Environment ◽

Adult Health ◽

C Reactive Protein ◽

Reactive Protein

Abstract Background Residential environments are associated with older adult health, but underlying physiologic causal mechanisms are not well understood. As adults age, street blocks are likely more relevant to their health than the larger neighborhood environment. This study examined the effects of adverse street block conditions on aging biomarkers among older adults. Methods We included community-dwelling Medicare beneficiaries aged 67 and older with 2017 biomarker data from the nationally representative National Health and Aging Trends Study (n=4,357). Street block disorder in 2016 was measured using interviewer report of any trash/glass/litter, graffiti, or vacant buildings on participants’ blocks. Propensity score models were used to create balanced groups with regard to multiple 2015 participant characteristics, including demographic, socioeconomic, residence, and early life characteristics. Linear regressions modeled street block disorder as a predictor of four aging biomarkers, hemoglobin A1C, high-sensitivity C-reactive protein, interleukin-6, and cytomegalovirus antibodies, before and after applying propensity score weighting. Results Adjusting for participant sociodemographic characteristics and applying propensity score weights, living on a block with any disorder was associated with 2% higher mean hemoglobin A1C levels (95% CI: 0.002-0.03), 13% higher C-reactive protein (95% CI: 0.03-0.23), 10% higher interleukin-6 (95% CI: 0.02-0.19), and 19% more cytomegalovirus antibodies (95% CI: 0.09-0.29) compared to living on a block with no disorder. Conclusions Street block disorder predicted subsequent aging biomarkers after applying a propensity score approach to account for confounding among a national sample of older adults. Targeting street-level residential contexts for intervention may reduce risk for poor health in older adults.

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