Anne B. Newman

Dr. Anne B. Newman

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Research Focus & Metrics

Academic Career Length

36Years (1991-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 March 2001 in The Journals of Gerontology, Series A: Biological Sciences and Medical Sciences
Verified
Journal Article
Open access
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LFLinda P. Fried
Linda P. Fried
CTCatherine M. Tangen
Catherine M. Tangen
JWJeremy Walston
Jeremy Walston
ANAnne B. Newman
Anne B. Newman
CHCalvin Hirsch
Calvin Hirsch
MMMary Ann McBurnie
Mary Ann McBurnie
Background. Frailty is considered highly prevalent in old age and to confer high risk for falls, disability, hospitalization, and mortality. Frailty has been considered synonymous with disability, comorbidity, and other characteristics, but it is recognized that it may have a biologic basis and be a distinct clinical syndrome. A standardized definition has not yet been established. Methods. To develop and operationalize a phenotype of frailty in older adults and assess concurrent and predictive validity, the study used data from the Cardiovascular Health Study. Participants were 5,317 men and women 65 years and older (4,735 from an original cohort recruited in 1989–90 and 582 from an African American cohort recruited in 1992–93). Both cohorts received almost identical baseline evaluations and 7 and 4 years of follow-up, respectively, with annual examinations and surveillance for outcomes including incident disease, hospitalization, falls, disability, and mortality. Results. Frailty was defined as a clinical syndrome in which three or more of the following criteria were present: unintentional weight loss (10 lbs in past year), self-reported exhaustion, weakness (grip strength), slow walking speed, and low physical activity. The overall prevalence of frailty in this community-dwelling population was 6.9%; it increased with age and was greater in women than men. Four-year incidence was 7.2%. Frailty was associated with being African American, having lower education and income, poorer health, and having higher rates of comorbid chronic diseases and disability. There was overlap, but not concordance, in the cooccurrence of frailty, comorbidity, and disability. This frailty phenotype was independently predictive (over 3 years) of incident falls, worsening mobility or ADL disability, hospitalization, and death, with hazard ratios ranging from 1.82 to 4.46, unadjusted, and 1.29–2.24, adjusted for a number of health, disease, and social characteristics predictive of 5-year mortality. Intermediate frailty status, as indicated by the presence of one or two criteria, showed intermediate risk of these outcomes as well as increased risk of becoming frail over 3–4 years of follow-up (odds ratios for incident frailty = 4.51 unadjusted and 2.63 adjusted for covariates, compared to those with no frailty criteria at baseline). Conclusions. This study provides a potential standardized definition for frailty in community-dwelling older adults and offers concurrent and predictive validity for the definition. It also finds that there is an intermediate stage identifying those at high risk of frailty. Finally, it provides evidence that frailty is not synonymous with either comorbidity or disability, but comorbidity is an etiologic risk factor for, and disability is an outcome of, frailty. This provides a potential basis for clinical assessment for those who are frail or at risk, and for future research to develop interventions for frailty based on a standardized ascertainment of frailty.

5 January 2011 in JAMA
Verified
Journal Article
Open access
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SSStephanie Studenski
Stephanie Studenski
SPSubashan Perera
Subashan Perera
KPKushang Patel
Kushang Patel
CRCaterina Rosano
Caterina Rosano
KFKimberly Faulkner
Kimberly Faulkner
JGJack Guralnik
Jack Guralnik
Remaining years of life vary widely in older adults, and physicians should consider life expectancy when assessing goals of care and treatment plans.1 However, life expectancy based on age and sex alone provides limited information because survival is also influenced by health and functional abilities.2 There are currently no well-established approaches to predicting life expectancy that incorporate health and function, although several models have been developed from individual data sources.3-5 Gait speed, also often termed walking speed, has been shown to be associated with survival among older adults in individual epidemiological cohort studies6-12 and has been shown to reflect health and functional status.13 Gait speed has been recommended as a potentially useful clinical indicator of well-being among the older adults.14 The purpose of this study is to evaluate the association of gait speed with survival in older adults and to determine the degree to which gait speed explains variability in survival after accounting for age and sex.

1 May 2011 in Journal of the American Medical Directors Association
Verified
Journal Article
Closed access
RFRoger Fielding
Roger Fielding
BVBruno Vellas
Bruno Vellas
WEWilliam J. Evans
William J. Evans
SBShalender Bhasin
Shalender Bhasin
JMJohn E. Morley
John E. Morley
MZMauro Zamboni
Mauro Zamboni

1 October 2006 in The Journals of Gerontology, Series A: Biological Sciences and Medical Sciences
Verified
Journal Article
Open access
PDF file
BGBret H Goodpaster
Bret H Goodpaster
SPSeok Won Park
Seok Won Park
THTamara B Harris
Tamara B Harris
SKSteven B Kritchevsky
Steven B Kritchevsky
MNMichael Nevitt
Michael Nevitt
ANAnne B. Newman
Anne B. Newman
Background. The loss of muscle mass is considered to be a major determinant of strength loss in aging. However, large-scale longitudinal studies examining the association between the loss of mass and strength in older adults are lacking. Methods. Three-year changes in muscle mass and strength were determined in 1880 older adults in the Health, Aging and Body Composition Study. Knee extensor strength was measured by isokinetic dynamometry. Whole body and appendicular lean and fat mass were assessed by dual-energy x-ray absorptiometry and computed tomography. Results. Both men and women lost strength, with men losing almost twice as much strength as women. Blacks lost about 28% more strength than did whites. Annualized rates of leg strength decline (3.4% in white men, 4.1% in black men, 2.6% in white women, and 3.0% in black women) were about three times greater than the rates of loss of leg lean mass (∼1% per year). The loss of lean mass, as well as higher baseline strength, lower baseline leg lean mass, and older age, was independently associated with strength decline in both men and women. However, gain of lean mass was not accompanied by strength maintenance or gain (ß coefficients; men, −0.48 ± 4.61, p =.92, women, −1.68 ± 3.57, p =.64). Conclusions. Although the loss of muscle mass is associated with the decline in strength in older adults, this strength decline is much more rapid than the concomitant loss of muscle mass, suggesting a decline in muscle quality. Moreover, maintaining or gaining muscle mass does not prevent aging-associated declines in muscle strength.

12 April 2000 in JAMA
Verified
Journal Article
Open access
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FNF. Javier Nieto
F. Javier Nieto
TYTerry B. Young
Terry B. Young
BLBonnie K. Lind
Bonnie K. Lind
ESEyal Shahar
Eyal Shahar
JSJonathan M. Samet
Jonathan M. Samet
TPThomas G. Pickering
Thomas G. Pickering
Sleep-disordered breathing (SDB) and the related clinical syndrome, sleep apnea, have been associated with hypertension in clinical reports since the early 1980s.1-4 Earlier studies of this association used self-reported history of "snoring" as a surrogate for the presence of sleep apnea. Although some of these studies showed an independent association between snoring and hypertension,5-7 others found that this relationship may be explained by confounding effects of age, sex, or obesity.8-11 Two recent studies have demonstrated that self-reported history of snoring is associated with increased incidence of self-reported hypertension in middle-aged men12 and women.13 Other studies have used polysomnography (PSG), a more objective measure of SDB. Most of these studies,14-19 but not all,20,21 found an association between sleep apnea and hypertension, independent of age, sex, body weight, and other potential confounders. With the exception of the reports from the Wisconsin Sleep Cohort Study of middle-aged employed persons,15,18 most previous studies were based on a small number of patients in clinical settings.22

1 February 2014 in JACC
Verified
Journal Article
Closed access
YBYoav Ben-Shlomo
Yoav Ben-Shlomo
MSMelissa Spears
Melissa Spears
CBChris Boustred
Chris Boustred
MMMargaret May
Margaret May
SASimon Anderson
Simon Anderson
IWIan B. Wilkinson
Ian B. Wilkinson