Epidemiology: Life trajectories of lean, fat and bone mass · ALM, fat mass and hip BMD), more...
Transcript of Epidemiology: Life trajectories of lean, fat and bone mass · ALM, fat mass and hip BMD), more...
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Epidemiology: Life trajectories of
lean, fat and bone mass
Cyrus Cooper OBE, DL, FMedSci
Professor of Rheumatology and Director, MRC Lifecourse Epidemiology Unit, University of Southampton;
and Professor of Epidemiology, University of Oxford, UK
President, International Osteoporosis Foundation
Conflict of interest statement: CC has received lecture fees and consulting honoraria from Amgen, MSD, Eli Lilly, Procter & Gamble, Aventis, GSK/Roche, Novartis, Nycomed, Radius, Servier, UCB and Wyeth Pharmaceuticals.
AGS/NIA Osteoporosis and Soft Tissue Disorders, Bethesda; March 2019
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Body composition trajectories throughout the lifecourse
MRC Lifecourse Epidemiology Unit, University of Southampton
• Bone mass trajectory through lifecourse
• Implications for prevention from conception to old age
• Linkage in trajectories of bone, muscle and fat
Institute of Musculoskeletal Science, University of Oxford
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Bone mass across the lifecourse: gain and loss
Bone mass
(g, Ca)
Age (yr)
1500 -
1000 -
500 -
0 - 0 20 40 60 80 100
Peak bone mass
Determinants of peak bone mass
Determinants of bone loss and fracture risk
PEAK BONE MASS RATE OF BONE LOSS Gene Menopause Dietary Ca/D Nutrition Body mass Physical activity Physical activity Smoking Diseases Hormonal status Alcohol Drugs (GC)
Peak 50% Loss rate 50%
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Bone mass
Target those with a low
bone density
Bone mass
Move entire distribution by
intervening in everyone
Mean
-1SD +1SD
Preventive strategies: High-risk and population
approaches
Cooper C, et al. Trends Endocrinol Metab 1992;3:224–9.
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Screening based on clinical risk factors and FRAX leads to reduced risk of hip fracture
Control
Screening
HR = 0.72; 95%CI 0.59-0.89
Shepstone L et al Lancet 2018; 391: 741-7
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Lifecourse determinants of health and disease:
A conceptual framework M
EC
HA
NIS
MS
Developmental plastic responses Epigenetic processes
Childhood body composition and development
Infant feeding and illnesses
Infant body composition & development Weight gain and catch-up growth
Young women’s diet, body composition, physical activity, education and lifestyle before and during pregnancy
Childhood diet, physical activity, lifestyle and education
Vulnerability to chronic disease in later life
Work, lifestyle and health behaviours in adulthood
Retirement and ageing
Gluckman, Hanson, Cooper et al New Engl J Med 2008; 359: 61-73
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Vitamin D supplementation increases offspring BMC in winter births by eliminating steep winter decline in
maternal vitamin D status: MAVIDOS Trial
p=0.004
50
60
70
Whole
body B
MC (
g)
Placebo 1000 IU/d
Winter
p=0.44
50
60
70
Placebo 1000 IU/d
Spring
p=0.73
50
60
70
Placebo 1000 IU/d
Summer
p=0.21
50
60
70
Placebo 1000 IU/d
Autumn
Mean (95% CI) p interaction=0.04
Cooper C et al Lancet Diabetes Endocrinol 2016; 4: 393-402
winter
spring
summer
autumn
25
35
45
55
65
75
25(O
H)D
(nm
ol/
l)
14 34Gestation (weeks)
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-1-.
50
.5
Diffe
ren
ce in
RX
RA
1 (
SD
) (9
5%
CI)
RX
RA
1
RX
RA
2
RX
RA
3
RX
RA
4
RX
RA
5
RX
RA
8
RX
RA
9
RX
RA
10
RX
RA
11
RX
RA
12
RX
RA
13
RX
RA
14
1000 IU/d vs. Placebo
Gestational vitamin D supplementation leads to reduced perinatal RXRA methylation
(MAVIDOS)
Curtis E et al J Bone Miner Res 2019; 34: 231-40
DNA methylation
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Prevention of fragility fracture throughout the lifecourse
Conclusions
• Population/individual mortality and morbidity burden attributable to osteoporotic fracture established
• Risk assessment well validated through FRAX, and widely incorporated in international treatment guidelines
• Effectiveness of FRAX-based programmes for treatment targeting demonstrable and cost-effective (MRC SCOOP)
• Secondary preventive strategies well designed, widely available and cost-effective
• Novel approaches point at prevention throughout the lifecourse
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Sarcopenia
Components: • Muscle mass • Muscle strength • Physical performance
“A syndrome characterised by progressive, generalised loss of skeletal muscle mass and strength with the risk of adverse outcomes such as physical disability, poor quality of life and death.”
Cruz-Jentoft A et al Age Ageing 2019; 48: 16-31
ICD-10 Registration 2016
Novel approaches to definition: • EWGSOP-2 • SDOC (FNIH-2)
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Muscle strength across the lifecourse
PLoS ONE 2014; 9(12): e113637; Age and Ageing 2017; 46: 407-16; Calcif Tissue Int 2018; 102: 53-63
Cross-cohort centile curves for grip strength.
12 population studies in Great Britain; 60,803 observations from 49,964 participants (26,687
female)
Peak 45% Loss rate 55%
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Annual percentage change in muscle
function and body composition: HealthABC
Boxes show median, lower quartile and upper quartile
Median (LQ, UQ)
-2.0 (-3.7, -0.6)
-1.5 (-2.9, 0.0)
-0.4 (-1.0, 0.1)
-0.7 (-1.4, -0.1)
-0.4 (-1.9, 1.1)
-0.5 (-1.1, 0.0)
Westbury L et al ICFSR (2019)
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Relationships between conditional change measures
Measures Grip
strength
Walking
speed
Lean
mass ALM Fat mass
Walking speed 0.16
P-value <0.001
Lean mass 0.24 0.08
P-value <0.001 0.002
ALM 0.24 0.08 0.89
P-value <0.001 0.004 <0.001
Fat mass 0.11 0.06 0.55 0.46
P-value <0.001 0.039 <0.001 <0.001
Hip BMD 0.22 0.21 0.42 0.34 0.39
P-value <0.001 <0.001 <0.001 <0.001 <0.001
ALM: Appendicular lean mass; Correlations where r>0.3 are in red
Westbury L et al ICFSR (2019)
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Proportion of variance at Year 10 explained by
baseline level and change since baseline
Conditional change measures were derived for each characteristic
0% 20% 40% 60% 80% 100%
Hip BMD
Fat mass
ALM
Lean mass
Walking speed
Grip strength
Variance explained
0% 20% 40% 60% 80% 100%
Men Women
Baseline Change
Westbury L et al ICFSR (2019)
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• All indices of body composition and muscle function show significant age-related declines
• Among muscle indices, proportionate declines over 10 years greatest for gait speed, then grip strength and lean mass
• Latent trajectory models identify subgroups with more pronounced differences in levels of characteristics, as compared with rates of loss
• Trajectories of change in indices of body composition (lean mass, ALM, fat mass and hip BMD), more strongly correlated with each other, than between these and gait speed or grip strength
• Extension to studying trajectories in multiple cohorts
• Findings support a lifecourse approach to preventive strategies, rather than purely a focus on environmental influences in later life
Conclusions
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Bauer J et al ICFSR (2019)
Linked Pathophysiologic Entity: Osteosarcopenic Obesity?
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With thanks to all at Southampton, Oxford and Health ABC