Reconciling “stress” and “health” in physical anthropology: What can bioarchaeologists learn from the other subdisciplines?

The concepts of “stress” and “health” are foundational in physical anthropology as guidelines for interpreting human behavior and biocultural adaptation in the past and present. Though related, stress and health are not coterminous, and while the term “health” encompasses some aspects of “stress,” health refers to a more holistic condition beyond just physiological disruption, and is of considerable significance in contributing to anthropologists' understanding of humanity's lived experiences. Bioarchaeological interpretations of human health generally are made from datasets consisting of skeletal markers of stress, markers that result from (chronic) physiological disruption (e.g., porotic hyperostosis; linear enamel hypoplasia). Non-specific indicators of stress may measure episodes of stress and indicate that infection, disease, or nutritional deficiencies were present in a population, but in assessing these markers, bioarchaeologists are not measuring “health” in the same way as are human biologists, medical anthropologists, or primatologists. Rather than continue to diverge on separate (albeit parallel) trajectories, bioarchaeologists are advised to pursue interlinkages with other subfields within physical anthropology toward bridging “stress” and “health.” The papers in this special symposium set include bioarchaeologists, human biologists, molecular anthropologists, and primatologists whose research develops this link between the concepts of “stress” and “health,” encouraging new avenues for bioarchaeologists to consider and reconsider health in past human populations. Am J Phys Anthropol 155:181–185, 2014. © 2014 Wiley Periodicals, Inc.     

On estimating mortalities from osteological age data

A statistical method (based on the maximum likelihood principle) for estimating mortalities of skeletal populations is presented. The method can be applied both when osteological age groups are not overlapping as well as when they are. The results are presented as point estimates and as confidence intervals around these. The method is applied to two series from the Middle Ages: Westerhus and Helgeandsholmen.     

A life table study on three genetic strains of Ophryotrocha diadema (Polychaeta,Dorvilleidae)

A life-table study was performed on three strains of Ophryotrocha diadema. The wild type strain, YY (yellow eggs), was compared with a recessive mutant strain, ww (white eggs), and the F₁, hybrid, Yw.

The viability of the YY strain was greater than that of the ww strain. The hybrids were intermediate. Expectation of life. e., of zygotes were: YY 27.9, Yw 19.1, and ww 15.1 wk, respectively. The total outcome of reproduction followed the same pattern; the net reproductive rates, R ₀, were related as 1:0.62:0.47 for YY: Yw: ww.

Reproduction began in the fourth week. A maximum reproductive output during the next 4 wk was followed by a fast decline. The intrinsic rate of natural increase, r, was 0.880 per week for the YY strain, 0.903 for the Yw strain and 0.872 for the ww strain. For all strains, the first 7 wk of reproduction contributed more than 99% of the Lotka equation σ e ^?rx l _x m _x = l, i.e., l _x m _x values at older ages would not substantially affect population growth. In this 7–wk period (and the previous nonreproductive weeks), mortality differences were small among strains. During the period of maximum reproduction the average size of egg masses was approximately the same in all strains. The heterozygote superiority was due to shorter intervals between successive spawnings.

It is suggested that in the opportunistic species O. diadema deviations from an r–selected reproductive pattern are due to small adult size and to its ancestry from a mainly K–selected, very old polychaete group.

O. diadema has proven to be a useful test animal for marine pollution research. Observed effects on survival and reproduction have been summarized in a model to demonstrate population consequences of sublethal pollutant levels.     

Mortality of a heterogeneous cohort; description and implications

"A recent model for heterogeneous mortality by Vaupel et al....is shown to be based on incorrect definitions. An alternative formulation is presented. The results indicate that current methods for computing the survivorship and life expectation functions underestimate the true values. A method is given for determining the possible magnitude of this underestimation. The method is illustrated by a numerical example using U.S. data."     

Survival analysis of three clones of Brachionus plicatilis (Rotifera)

Age-specific survival schedules of females from three genetically different clones of Brachionus plicatilis were analyzed at several environmental conditions in the laboratory.Lifespan showed the expected decrease with increasing temperature, but a general trend with salinity or genotype was not observed. Probability of death increased with age, as tested by polynomial regression analysis of the survival curve and using theoretical mortality distributions. Three two-parameter models (linear-exponential model, Weibull model, and Gompertz model) were fitted to the survival data. Fitting of these models to data was rather poor, but the Gompertz model and, to a lesser extent, the Weibull model fitted the data better than the linear-exponential model. Parameters obtained from the survival curve analyses were related to other demographic parameters. A significant relationship between the shape parameter of the Gompertz model and the cohort generation time was detected, suggesting, but not proving, an effect of reproductive effort on aging.     

Critical periods in the life cycle and the effects of a severe spate vary markedly between four species of elmid beetles in a small stream

1. The chief objectives were: (i) to describe quantitatively the life cycles of four species of Elmidae, Elmis aenea, Esolus parallelepipedus, Oulimnius tuberculatus and Limnius volkmari; (ii) to use life tables to identify critical periods for survival in the life cycle of each species; (iii) to evaluate the immediate and longer‐term effects of a severe spate on densities of the four species. Monthly samples were taken over 63 months at two contrasting sites in a small stream: one in a deep section with macrophytes abundant, and the other in a shallow stony section. 2. There were five larval instars for O. tuberculatus, seven for L. volkmari and six for the other two species. The life cycle of each species took 1 year from egg hatching (chiefly in June for E. aenea and O. tuberculatus, and July for the other species) to pupation in the stream bank and a further year before the adults in the stream matured and laid their eggs. Mature adults were present in most months, but were rare or absent in January and February and attained maximum densities in April for O. tuberculatus and May for the other species. 3. Laboratory experiments provided data on egg hatching and pupation periods and the number of eggs laid per female. Life tables compared maximum numbers per square metre for key life‐stages. Within each species, mortality rates between adjacent life‐stages were fairly constant among six cohorts and between sites, in spite of large differences in numbers. The only exception for all species was the high adult, but not larval, mortality during a severe spate. 4. Standardised life tables, starting with 1000 eggs, identified key life‐stages with the highest mortality, namely the early life‐stages for E. aenea (36% mortality), start of the overwintering period to pupation for O. tuberculatus (41%) and L. volkmari (51%), start of pupation to the maximum number of immature adults for E. parallelepipedus (41%) and between the maximum numbers of immature and mature adults for O. tuberculatus (41%). Therefore, critical periods for survival in the life cycle differed between species, presumably because of their different ecological requirements. Similarly, the effects of the spate on adult mortality, and hence egg production, varied between species, being most severe and long‐term for E. aenea and O. tuberculatus, less severe for E. parallelepipedus and least severe with a rapid recovery for L. volkmari. Possible reasons for these discrepancies are discussed, but more data are required on the food and microhabitat requirements of the elmids before satisfactory explanations can be found.     

Causes of early human population growth

The archaeological record indicates large increases in human population coincident with the emergence of food production about 10,000 years ago. The cause of the growth is unclear. Extreme views attribute the change to increases in the birth rate or to decreases in the death rate. Many argue that sedentism led to improved ovarian function and higher fertility through higher caloric intakes or reduced activity levels. Similarly, shortened lactation periods may have reduced birth spacing and increased fertility. Others attribute the rise in population to decreases in mortality, arguing that the evidence from skeletal populations indicates improvements in health and the expectation of life at birth, though others use the same evidence to argue that mortality increased. An analysis presented here draws on findings that indicate substantial increases in the survival of young children as populations switch from nomadic to sedentary lives. Projections indicate that this improvement in child survival is so critical that it may be followed by substantially larger decreases in survival at later ages, yet result in higher population growth rates and reduced expectation of life at birth. Increases in the birth rate are not necessary for population growth, even when overall mortality increases. Large increases in overall mortality can be associated with large increases in population. Because positive population growth can occur while the expectation of life at birth declines, this analysis shows that this summary statistic is not an appropriate indicator of population fitness. © 1996 Wiley-Liss, Inc.