Department of Anthropology, Indiana University-Purdue University Indianapolis, Indiana, USA.
Department of Earth and Environmental Systems, Indiana State University, Indiana, USA.
Am J Hum Biol. 2022 Jan;34(1):e23571. doi: 10.1002/ajhb.23571. Epub 2021 Jan 25.
Since its inception, skeletally based paleodemographic research has emphasized the utility of biocultural models for interpreting the dynamic relationship between the sociocultural and ecological forces accompanying demographic transitions and shaping populations' health and well-being. While the demographic transition associated with the Neolithic Revolution has been a common focus in bioarcheology, the present study analyzes human skeletal remains from a large 19th century cemetery in central Indiana to examine population dynamics during the second demographic transition, a period generally characterized by decreasing fertility rates and improvements in life expectancy. This study demonstrates the potential to methodologically identify regional variations in the timing and interactions between broad-scale socioeconomic changes and technological advancements that characterized the time period through observed changes in survivorship and fertility based on age-at-death distributions.
This study uses three temporally distinct samples (AD 1827-1869; 1870-1889; 1890-1935) from the Bethel Cemetery (n = 503). Kaplan-Meier survival analyses with a log- rank tests are utilized to evaluate survivorship and mortality over time. Next, Cox proportional hazard analyses are employed to examine the interaction between sex and time as covariates. Finally, the D0-14/D ratio is applied to estimate fertility for each of the three temporally bounded cohorts.
The Kaplan-Meier survival analyses and Cox proportional hazard modeling revealed statistically significant differences in survivorship between the three time periods. Age-specific mortality rates are reduced among adult female and male age classes in this rural community over the course of the 19th and early 20th centuries, resulting in the increasing life expectancies associated with the second demographic transition. While mortality in early adulthood was common during the first time period and decreases thereafter, sex was not identified as a meaningful covariate. The proportion of juveniles in the three temporal samples indicate that fertility rates were higher than national averages for the better part of the 19th century and subsequently declined around the turn of 20th century for this community.
The results indicate temporal differences between the three periods, demonstrating increased survivorship and decreased mortality and fertility over time. These findings corroborate two key features of the second demographic transition characterized by the move from high rates of both fertility and mortality to reduced rates and a general easing of demographic pressures. The observed trends likely reflect improvements in health, coinciding the industrial advance and economic development within and around Indianapolis. While the socioeconomic factors characterizing the Industrial Revolution drove demographic shifts that parallel an equally important epidemiological transition, potential regional differences are discussed to highlight variability in the timing of demographic transitions. The paleodemographic methods utilized in this study demonstrate improved accuracy and efficacy, which ultimately advances researchers' potential to disentangle population-specific socioeconomic factors that may contribute to asymmetrical experiences of health and mortality.
自成立以来,基于骨骼的古人口统计学研究一直强调生物文化模型的实用性,用于解释伴随人口转型而来的社会文化和生态力量与塑造人口健康和福祉之间的动态关系。虽然与新石器时代革命相关的人口转型一直是生物考古学的一个常见焦点,但本研究分析了印第安纳州中部一个大型 19 世纪公墓的人类骨骼遗骸,以研究第二次人口转型期间的人口动态,这一时期的一般特点是生育率下降和预期寿命提高。本研究通过基于年龄的死亡率分布观察到的生存和生育变化,展示了从方法上确定在广泛的社会经济变化和技术进步的时间和相互作用方面具有区域差异的潜力,这些变化是该时期的特征。
本研究使用来自 Bethel 公墓的三个时间上不同的样本(公元 1827-1869 年;1870-1889 年;1890-1935 年)(n=503)。利用对数秩检验的 Kaplan-Meier 生存分析来评估随时间推移的生存和死亡率。接下来,使用 Cox 比例风险分析来检验性别和时间作为协变量之间的相互作用。最后,应用 D0-14/D 比来估计三个时间限制队列的生育率。
Kaplan-Meier 生存分析和 Cox 比例风险模型显示,三个时间段之间的生存存在统计学显著差异。在 19 世纪和 20 世纪初,在这个农村社区中,成年女性和男性年龄组的特定年龄死亡率降低,导致与第二次人口转型相关的预期寿命增加。虽然在第一个时期,成年早期的死亡率较高,此后有所下降,但性别未被确定为有意义的协变量。三个时间样本中的青少年比例表明,在 19 世纪的大部分时间里,该社区的生育率高于全国平均水平,随后在 20 世纪之交下降。
结果表明三个时期之间存在时间差异,表明随着时间的推移,生存率提高,死亡率和生育率降低。这些发现证实了第二次人口转型的两个关键特征,即从高生育率和死亡率转变为低生育率和死亡率,以及人口压力的普遍缓解。观察到的趋势可能反映了健康状况的改善,与印第安纳波利斯及其周边地区的工业进步和经济发展相吻合。虽然驱动人口转变的工业革命的社会经济因素与同样重要的流行病学转变平行,但讨论了潜在的区域差异,以突出人口转型时间的可变性。本研究中使用的古人口统计学方法提高了准确性和功效,最终提高了研究人员解开可能导致健康和死亡率不对称体验的特定人口社会经济因素的潜力。