Literature DB >> 34817704

Assessing the roles of demographic, social, economic, environmental, health-related, and political factors on risk of osteoporosis diagnosis among older adults.

Margaret Gough Courtney1, Yadira Quintero1, K Godde2.   

Abstract

Chronic stress from social/environmental pressures has been proposed to affect bone health through increased inflammation. We demonstrate that inflammation from prolonged stress does not cause changes to bone health through inflammation but instead impacts access to health care, social inequalities, and overall health, which in turn impact bone health.
PURPOSE: The study provides a comprehensive assessment of how determinants of health across demographic, psychological, mobility-related, health, environmental, and economic domains are associated with the diagnosis of osteoporosis and tests three hypotheses: (1) a diverse set of variables across domains will predict osteoporosis, (2) chronic inflammation as a result of stress (represented by high-sensitivity C-reactive protein) will not be associated with osteoporosis, and (3) the model developed will have high accuracy in predicting osteoporosis.
METHODS: Logistic regression and Cox proportional hazards models of osteoporosis diagnosis were estimated using data from 14,792 and 13,169 participants (depending on model) in the 2012-2016 waves of the Health and Retirement Study, including the Biomarker Study, the Contextual Data Resource, and validated measures of childhood socioeconomic status. Predictive accuracy was assessed using k-Nearest Neighbors Discriminant Analysis.
RESULTS: Demographic, environmental, and health-related factors were associated with osteoporosis diagnosis, and predictive accuracy of the models was good. High-sensitivity C-reactive protein was not associated with osteoporosis diagnosis.
CONCLUSION: Social determinants identified indicate access to health care, inequalities in the greater social environment (e.g., access to resources), and overall health (i.e., underlying medical conditions) are key components for developing osteoporosis and indicate underlying health inequities in this sample. There is a need to further address the interplay between primary health care and social determinants of health.
© 2021. International Osteoporosis Foundation and National Osteoporosis Foundation.

Entities:  

Keywords:  Aging; Biomarkers; Bone health; Longitudinal analysis; Social determinants of health

Mesh:

Year:  2021        PMID: 34817704      PMCID: PMC8722370          DOI: 10.1007/s11657-021-01042-0

Source DB:  PubMed          Journal:  Arch Osteoporos            Impact factor:   2.617


  17 in total

1.  Markers of inflammation and cardiovascular disease: application to clinical and public health practice: A statement for healthcare professionals from the Centers for Disease Control and Prevention and the American Heart Association.

Authors:  Thomas A Pearson; George A Mensah; R Wayne Alexander; Jeffrey L Anderson; Richard O Cannon; Michael Criqui; Yazid Y Fadl; Stephen P Fortmann; Yuling Hong; Gary L Myers; Nader Rifai; Sidney C Smith; Kathryn Taubert; Russell P Tracy; Frank Vinicor
Journal:  Circulation       Date:  2003-01-28       Impact factor: 29.690

Review 2.  Clinical application of C-reactive protein for cardiovascular disease detection and prevention.

Authors:  Paul M Ridker
Journal:  Circulation       Date:  2003-01-28       Impact factor: 29.690

3.  How does socio-economic position (SEP) get biologically embedded? A comparison of allostatic load and the epigenetic clock(s).

Authors:  Cathal McCrory; Giovanni Fiorito; Cliona Ni Cheallaigh; Silvia Polidoro; Piia Karisola; Harri Alenius; Richard Layte; Teresa Seeman; Paolo Vineis; Rose Anne Kenny
Journal:  Psychoneuroendocrinology       Date:  2019-02-16       Impact factor: 4.905

Review 4.  Inflammageing: chronic inflammation in ageing, cardiovascular disease, and frailty.

Authors:  Luigi Ferrucci; Elisa Fabbri
Journal:  Nat Rev Cardiol       Date:  2018-09       Impact factor: 32.419

5.  Racial Differences in Elevated C-Reactive Protein Among US Older Adults.

Authors:  Heather R Farmer; Linda A Wray; Ying Xian; Hanzhang Xu; Neha Pagidipati; Eric D Peterson; Matthew E Dupre
Journal:  J Am Geriatr Soc       Date:  2019-10-21       Impact factor: 5.562

6.  Effects of C-reactive protein on bone cells.

Authors:  In-Jin Cho; Kyoung Hee Choi; Chi Hyuk Oh; You Cheol Hwang; In-Kyung Jeong; Kyu Jeung Ahn; Ho-Yeon Chung
Journal:  Life Sci       Date:  2015-12-10       Impact factor: 5.037

7.  C-reactive protein, bone loss, fracture, and mortality in elderly women: a longitudinal study in the OPRA cohort.

Authors:  S Berglundh; L Malmgren; H Luthman; F McGuigan; K Åkesson
Journal:  Osteoporos Int       Date:  2014-11-20       Impact factor: 4.507

Review 8.  Defining ethnic and racial differences in osteoporosis and fragility fractures.

Authors:  Jane A Cauley
Journal:  Clin Orthop Relat Res       Date:  2011-07       Impact factor: 4.176

9.  Estimated prevalence and patterns of presumed osteoporosis among older Americans based on Medicare data.

Authors:  H Cheng; L C Gary; J R Curtis; K G Saag; M L Kilgore; M A Morrisey; R Matthews; W Smith; H Yun; E Delzell
Journal:  Osteoporos Int       Date:  2009-02-03       Impact factor: 4.507

10.  A multifaceted analysis of social stressors and chronic inflammation.

Authors:  Margaret Gough; Kanya Godde
Journal:  SSM Popul Health       Date:  2018-09-12
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