2003
DOI: 10.1002/oa.698
|View full text |Cite
|
Sign up to set email alerts
|

The person‐years construct: ageing and the prevalence of health related phenomena from skeletal samples

Abstract: Age has the ability to confound prevalence data. Yet, the effects of length of exposure and age-structure on such prevalence data are seldom directly measured in osteological studies.Here we describe a simple method that addresses both issues through the use of personyears, and treatment of data in the case of rare events as Poisson counts. We advocate use of person-years as a denominator when comparing skeletal data that involves the cumulative insults of ageing (e.g. fractures, dental caries, and other chron… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

2
18
0
1

Year Published

2005
2005
2021
2021

Publication Types

Select...
5
4

Relationship

0
9

Authors

Journals

citations
Cited by 32 publications
(21 citation statements)
references
References 23 publications
2
18
0
1
Order By: Relevance
“…. Glencross and Sawchuk (2003) demonstrated the promise of the person-years construct. Individual odds ratios associated with each age class are informative, but the sum of the age class-specific odds can be divided by the total sample size to generate a common odds ratio (ÔR) to relate age-specific prevalence between two populations as a single, straightforward summary statistic.…”
Section: Age Structures In Skeletal Samples and Measures Of Prevalencementioning
confidence: 95%
See 1 more Smart Citation
“…. Glencross and Sawchuk (2003) demonstrated the promise of the person-years construct. Individual odds ratios associated with each age class are informative, but the sum of the age class-specific odds can be divided by the total sample size to generate a common odds ratio (ÔR) to relate age-specific prevalence between two populations as a single, straightforward summary statistic.…”
Section: Age Structures In Skeletal Samples and Measures Of Prevalencementioning
confidence: 95%
“…Other tools in epidemiology or biostatistics may provide additional measurements of biological stress in skeletal remains. Glencross and Sawchuk (2003) demonstrated the promise of the person-years construct. Here, the computation of a denominator based on person-years (the sum of the mean age-at-death values, which represent the total temporal exposure experienced by the individuals in a sample) is a direct measure of a sample's respective length of risk of exposure from which probability statements can be made about comparative disease prevalence.…”
Section: Age Structures In Skeletal Samples and Measures Of Prevalencementioning
confidence: 95%
“…The age-at-death profile of the observed crania was categorized into Late Adolescent/Young Adult (15-35 years old), Mid-Adult (35-50 years old), Old Adult (50þ years old), and a general category of Adult (15þ years old). Because advanced age can expose a person to more years of risk for trauma, samples with older individuals can bias the sample, leading to higher rates of trauma relative to samples with younger individuals (Glencross and Sawchuk, 2003). Conchopata and Beringa show similar age structures, but La Real differs from those in that more than half of the sample is Young Adults (Fig.…”
Section: Methodsmentioning
confidence: 99%
“…Similarly, rough age categories 3 were created based on cranial suture closure and tooth wear when there were no postcranial remains available. Given the ''cumulative impact'' of trauma over the course of an individual's life, these categories were used to assess whether or not the age of individuals in a population biased the results (Glencross and Sawchuk, 2003). We noted evidence of healed trauma on the cranium in the form of depressions on the vault, facial fractures, and projectile injuries.…”
Section: Methodsmentioning
confidence: 99%