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![Page 1: Physical Markers at Young Age and Survival to 100: A Study of a New Historical Data Resource (The U.S. WWI Draft Cards) Dr. Natalia S. Gavrilova, Ph.D.](https://reader036.fdocuments.in/reader036/viewer/2022062518/5697bf871a28abf838c88dbe/html5/thumbnails/1.jpg)
Physical Markers at Young Age and Survival to 100:
A Study of a New Historical Data Resource
(The U.S. WWI Draft Cards)
Dr. Natalia S. Gavrilova, Ph.D.Dr. Leonid A. Gavrilov, Ph.D.
Center on Aging
NORC and The University of Chicago Chicago, Illinois, USA
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Approach
To study “success stories” in long-term avoidance of fatal diseases (survival to 100 years) and factors correlated with this remarkable survival success
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Centenarians represent the fastest growing age group in the industrialized countries
Yet, factors predicting exceptional longevity and its time trends remain to be fully understood
In this study we explored the new opportunities provided by the ongoing revolution in information technology, computer science and Internet expansion to explore early-childhood predictors of exceptional longevity Jeanne Calment
(1875-1997)
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Revolution in Information Technology
What does it mean for longevity studies?
Over 75 millions of computerized genealogical records are available online now!
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Computerized Genealogies as a Resource for Longevity
Studies Pros: provide important information
about family and life-course events, which otherwise is difficult to collect (including information about lifespan of parents and other relatives)
Cons: Uncertain data quality Uncertain validity and generalizability
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For longevity studies the genealogies with detailed birth dates and death
dates for long-lived individuals (centenarians) and their relatives are of
particular interest
In this study 1,001 genealogy records for centenarians born in 1875-1899 were collected and used for further age validation
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Steps of Centenarian Age Verification
1. Internal consistency checks of dates
2. Verification of death dates – linkage to the Social Security Administration Death Master File (DMF)
3. Verification of birth dates – linkage to early Federal censuses (1900, 1910, 1920, 1930)
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Results of Centenarian Age Verification
1001 records consistency checks
990 records used for further verification
990 records were linked to the SSA Death Master File
Linkage success rate 77% (80% for centenarians born after 1890) In 3% of cases centenarian status was not confirmed
548 records found in DMF for persons born in 1890-1899 were then linked to early US censuses
Linkage success rate 80% when using Genealogy.com and 91% after supplementation with Ancestry.com. In 8% of cases a 1-year disagreement between genealogy and census record was observed
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Conclusions of the Age Verification Study
Death dates of centenarians recorded in genealogies always require verification because of strong outliers (1.3%, misprints)
Birth dates of centenarians recorded in genealogies are sufficiently accurate - 92% are correct; for the remaining 8% only one-year disagreements
Quality of genealogical data is good enough if these data are pre-selected for high data quality
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Predictors of Exceptional Longevity
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Within-Family Study of Exceptional Longevity
Cases - 198 Centenarians born in U.S. in 1890-1893
Controls – Their own siblings
Method: Conditional logistic regression
Advantage: Allows researchers to eliminate confounding effects of between-family variation
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Design of the Study
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A typical image of ‘centenarian’ family in 1900
census
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First-born siblings are more likely to become centenarians
(odds = 1.8)
Conditional (fixed-effects) logistic regressionN=950, Prob > chi2=0.0000
VariableOdds ratio
95% CIP-
value
First-born status
1.771.18-2.66
0.006
Male sex 0.400.28-0.58
<0.001
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Birth Order and Odds to Become a Centenarian
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Can the birth-order effect be a result of selective child
mortality, thus not applicable to adults?
Approach: To compare centenarians with
those siblings only who survived to adulthood (age 20)
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First-born adult siblings (20+years) are more likely
to become centenarians (odds = 1.95)
Conditional (fixed-effects) logistic regressionN=797, Prob > chi2=0.0000
VariableOdds ratio
95% CIP-
value
First-born status
1.951.26-3.01
0.003
Male sex 0.460.32-0.66
<0.001
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Are young fathers responsible for birth order effect?
Conditional (fixed-effects) logistic regressionN=950, Prob > chi2=0.0000
VariableOdds ratio
95% CIP-
value
Born to young father
1.860.99-3.50
0.056
Male sex 0.420.29-0.59
<0.001
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Birth order is more important than paternal age for chances
to become a centenarianConditional (fixed-effects) logistic regressionN=950, Prob > chi2=0.0000
VariableOdds ratio
95% CIP-
value
First-born status
1.641.03-2.61
0.039
Born to young father
1.290.63-2.67
0.484
Male sex 0.410.29-0.58
<0.001
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Are young mothers responsible for the birth order
effect?
Conditional (fixed-effects) logistic regressionN=950, Prob > chi2=0.0000
VariableOdds ratio
95% CIP-
value
Born to young mother
2.031.33-3.11
0.001
Male sex 0.410.29-0.59
<0.001
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Maternal Age at Person’s Birth and Odds to Become a
Centenarian
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Birth order effect explained:Being born to young mother!
Conditional (fixed-effects) logistic regressionN=950, Prob > chi2=0.0000
VariableOdds ratio
95% CIP-
value
First-born status
1.360.86-2.15
0.189
Born to young mother
1.761.09-2.85
0.021
Male sex 0.410.29-0.58
<0.001
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Even at age 75 it still helps to be born to young mother (age
<25)(odds = 1.9)
Conditional (fixed-effects) logistic regressionN=557, Prob > chi2=0.0000
VariableOdds ratio
95% CIP-
value
Born to young mother
1.861.15-3.05
0.012
Male sex 0.460.31-0.69
<0.001
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Question Families were quite large in the past,
particularly those covered by genealogical records (large family size bias).
Is the "young mother effect" robust to the family size, and is it observed in smaller families too?
Or is it confined to extremely large families only?
Approach:To split data in two equal parts by median family
size (9 children) and re-analyze the data in each group separately.
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Results In smaller families (less than 9 children) the
effect of young mother is even larger:Odds ratio = 2.23, P=0.004; 95%CI = 1.30 -
3.98 Compare to larger families (more than 9
children):Odds ratio = 1.72, P=0.11; 95%CI = 0.88 - 3.34
Conclusion:"Young mother effect" is not confined to
extremely large family size
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New Striking Findings: Invitation for discussion
and brain-storming!
The favorable "Young Mother Effect" is particularly strong when parents have particularly large differences in their lifespan
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Odds Ratio to live to 100 years if born to young mother
as a function of maternal and paternal lifespans (tertiles)
MOTHER
FATHERShorter-lived
Medium-lived
Longer-lived
Shorter-lived
0.93 1.29 4.04*
Medium-lived
3.49* 3.01 1.50
Longer-lived
11.62* 1.21 0.36
* p<0.05
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Being born to Young Mother Helps Laboratory Mice to Live
Longer Source:
Tarin et al., Delayed Motherhood Decreases Life Expectancy of Mouse Offspring.
Biology of Reproduction 2005 72: 1336-1343.
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Physical Characteristics at Young Age
and Survival to 100
A study of height and build of centenarians
when they were young using WWI civil draft
registration cards
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Height – What to Expect
1. Height seems to be a good indicator of nutritional status and infectious disease history in the past.
2. Historical studies showed a negative correlation between height and mortality.
3. Hence we may expect that centenarians were taller than average
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Build – What to Expect
1. Slender build may suggest a poor nutrition during childhood. We may expect that centenarians were less likely to be slender when young.
2. On the other hand, biological studies suggest that rapid growth may be harmful and somewhat delayed maturation may be beneficial for longevity.
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WWI Civilian Draft Registration
In 1917 and 1918, approximately 24 million men born between 1873 and 1900 completed draft registration cards. President Wilson proposed the American draft and characterized it as necessary to make "shirkers" play their part in the war. This argument won over key swing votes in Congress.
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Information Available in the Draft Registration Card
age, date of birth, race, citizenship
permanent home address occupation, employer's name height (3 categories), build (3
categories), eye color, hair color, disability
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Draft Registration Card:An Example
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Data Sources
1. Social Security Administration Death Master File
2. WWI civil draft registration cards (completed for almost 100 percent men born between 1873 and 1900)
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Study Design
Cases: men centenarians born in 1887 (randomly selected from the SSA Death Master File) and linked to the WWI civil draft records. Out of 120 selected men, 19 were not eligible for draft. The linkage success for remaining 101 records was 75% (76 records)
Controls: men matched on birth year, race and county of WWI civil draft registration
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Height and Survival to 100
0
10
20
30
40
50
60
70
cases controls
short
medium
tall
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Body Build and Survival to 100
0
10
20
30
40
50
60
70
80
cases controls
slender
medium
stout
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Results of multivariate study
Variable OR P-value
Tall and medium height vs short height
1.98 0.308
Slender and medium build vs stout build
9.96* 0.032
Qualified jobs vs unqualified
1.57 0.300
Married vs unmarried 1.02 0.958
Natural born vs immigr.
1.12 0.782
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Conclusion
The study of height and build among men born in 1887 suggests that rapid growth and overweight at young adult age (30 years) might be harmful for attaining longevity
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Month of Birth and the Likelihood to Become a Centenarian
among WWI draft participants
Method:
Conditional logistic regression for odds to become a centenarian. Controls – men matched on birth year, race and county of draft registration.
Adjusted for occupation, height and build.
76 observations
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Month of Birth and the Likelihood to Become a Centenarian
for Adult Siblings
Method:
Conditional logistic regression for odds to become a centenarian, using siblings as within-family control.
787 observations
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Final Conclusion
The shortest conclusion was suggested in the title of the New York Times article about this study
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AcknowledgmentsThis study was made possible thanks to:
generous support from the National Institute on Aging and
the Society of Actuaries
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For More Information and Updates Please Visit Our Scientific and Educational
Website on Human Longevity:
http://longevity-science.org
And Please Post Your Comments at our Scientific Discussion Blog:
http://longevity-science.blogspot.com/