Kun Zhu

Dr. Kun Zhu


Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

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

Representative Publications

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1 August 2012 in Clinical Biochemistry
Verified
Journal Article
Closed access
KZKun Zhu
Kun Zhu
RPRichard L. Prince
Richard L. Prince

5 November 2013 in Journal of Bone and Mineral Research
Verified
Journal Article
Closed access
PDF file
KZKun Zhu
Kun Zhu
AWAndrew Jo Whitehouse
Andrew Jo Whitehouse
PHPrue H Hart
Prue H Hart
MKMerci Kusel
Merci Kusel
JMJenny Mountain
Jenny Mountain
JWJohn Peter Walsh
John Peter Walsh

1 November 2015 in The Journal of Nutrition
Verified
Journal Article
Closed access
PDF file
KZKun Zhu
Kun Zhu
DKDeborah Kerr
Deborah Kerr
XMXingqiong Meng
Xingqiong Meng
ADAmanda Devine
Amanda Devine
VSVicky Solah
Vicky Solah
RPRichard L Prince
Richard L Prince
Background: Protein may play a role in preventing muscle loss with aging. To our knowledge, there have been no long-term randomized controlled trials

23 November 2014 in Current Osteoporosis Reports
Verified
Journal Article
Closed access
PDF file
KZKun Zhu
Kun Zhu
RPRichard L. Prince
Richard L. Prince

4 January 2024 in Journal of Bone and Mineral Research
Verified
Journal Article
Open access
PDF file
EDElsa Dent
Elsa Dent
JVJack Dalla Via
Jack Dalla Via
TBTrent Bozanich
Trent Bozanich
EHEmiel O Hoogendijk
Emiel O Hoogendijk
AGAbadi K Gebre
Abadi K Gebre
MSMarc Sim
Marc Sim
Frailty is associated with declines in physiological capacity across sensory, neurological, and musculoskeletal systems. An underlying assumption is that the frailer an individual, the more likely they are to experience falls and fractures. We examined whether grades of frailty can assess the long-term risk of hospitalized falls, fractures, and all-cause mortality in 1261 community-dwelling older women (mean age [SD] of 75.1 [2.7] yr) over 14.5 yr. Frailty was operationalized using a frailty index (FI) of cumulative deficits from 33 variables across multiple health domains (physical, mental, comorbidities) at baseline. The total score across these variables was summed and divided by 33 to obtain the FI. Participants were graded as fit (FI ≤ 0.12), mildly frail (FI > 0.12–0.24), moderately frail (FI > 0.24–0.36), or severely frail (FI > 0.36). Fall-related (n = 498), any fracture-related (n = 347), and hip fracture–related hospitalizations (n = 137) and deaths (n = 482) were obtained from linked health records. Associations between FI grades and clinical outcomes were analyzed using multivariable-adjusted Cox-proportional hazard models including age, treatment (calcium/placebo), BMI, smoking history, socioeconomic status, plasma vitamin D (25OHD) status plus season obtained, physical activity, self-reported prevalent falls in the last 3 mo, and self-reported fractures since the age of 50 yr. At baseline, 713 (56.5%), 350 (27.8%), 163 (12.9%), and 35 (2.8%) of women were classified as fit, mildly frail, moderately frail, and severely frail, respectively. Women with mild, moderate, and severe frailty had significantly higher hazards (all P < .05) for a fall-related (46%, 104%, 168%), any fracture-related (88% for moderate, 193% for severe frailty), hip fracture–related hospitalizations (93%, 127%, 129%), and all-cause mortality (47%, 126%, 242%). The FI identified community-dwelling older women at risk for the most serious falls and fractures and may be incorporated into risk assessment tools to identify individuals with poorer clinical prognosis. Frailty is often linked to decline in the sensory, neurological, and musculoskeletal systems. Frailty can be identified and graded using a frailty index (FI). In a cohort of 1261 community-dwelling older women with an average age of 75 yr, this study found that increasing grades of frailty fit, (mildly, moderately and severely frail) were associated with higher long-term risk for a fall and/or fracture (including hip fractures) that required hospitalization. Increasing grades of frailty were also linked with greater risk of death, especially due to cardiovascular causes. In conclusion, the FI may be used to identify community-dwelling older women with a high long-term risk for the most serious falls and fractures, as well as individuals with a poorer prognosis.