Department of Comparative Medicine, UT MD Anderson Cancer Center, Bastrop, Texas.
Centre Wildlife Care, Port Matilda, Pennsylvania.
Am J Primatol. 2020 Oct;82(10):e23188. doi: 10.1002/ajp.23188. Epub 2020 Aug 27.
Obesity is a problem in captive chimpanzee colonies that can lead to increased risk for disease; therefore, implementation of effective weight management strategies is imperative. To properly implement a weight management program, captive managers should be able to noninvasively identify and assess overweight or obese individuals. Traditional means of categorizing obese individuals involve sedating the animals to obtain body weights or skin fold measurements. The current study aimed to validate a noninvasive, subjective body condition score (BCS) system for captive chimpanzees. The system utilizes a 10-point scale, with one rated as "emaciated," five as "normal," and 10 as "extremely obese." Between 2013 and 2014, 158 chimpanzees were weighed and scored using this system (a) while sedated and (b) while awake in their social group within 1-3 days of sedation ("In-group" ratings). We found high inter-rater reliability between In-group raters, as well as between sedated and In-group scores. BCSs, which require observation only, were significantly positively correlated with weight (an objective measure of obesity often requiring anesthetization), supporting the scale's validity. The BCS system identified 36 individuals as "overweight," while the use of weights alone identified only 26 individuals as "overweight." Furthermore, the BCS system was able to classify individuals of the same sex and weight as having different BCSs, ranging from normal to overweight. Lastly, using focal animal behavioral observations from 2016 to 2018 (N = 120), we found that In-group BCS predicted individual levels of inactive behavior more than 2 years later, demonstrating the predictive validity of the scale. These results illustrate the utility of the BCS system as a noninvasive, reliable, and valid technique that may be more sensitive than traditional methods in identifying and quantifying obesity in chimpanzees. This system can be a useful tool for captive managers to monitor and manage the weight of chimpanzees and other nonhuman primates.
肥胖是圈养黑猩猩群体中存在的一个问题,它会增加疾病风险;因此,实施有效的体重管理策略至关重要。为了正确实施体重管理计划,圈养管理人员应该能够无创地识别和评估超重或肥胖个体。传统的肥胖个体分类方法涉及给动物镇静以获得体重或皮褶厚度测量值。本研究旨在验证一种非侵入性的、主观的身体状况评分(BCS)系统,用于圈养黑猩猩。该系统使用 10 分制,1 分为“消瘦”,5 分为“正常”,10 分为“极度肥胖”。2013 年至 2014 年,158 只黑猩猩在镇静状态下(a)和镇静后 1-3 天在其社会群体中清醒状态下(b)(“群体内”评分)使用该系统进行称重和评分。我们发现群体内评分者之间的评分者间信度较高,镇静和群体内评分者之间的评分者间信度也较高。仅需要观察的 BCS 与体重(肥胖的客观测量方法,通常需要麻醉)显著正相关,支持该量表的有效性。BCS 系统确定了 36 名“超重”个体,而仅使用体重则确定了 26 名“超重”个体。此外,BCS 系统能够对相同性别和体重的个体进行分类,其 BCS 从正常到超重不等。最后,我们使用 2016 年至 2018 年的焦点动物行为观察数据(N=120)发现,群体内 BCS 比两年后个体的不活跃行为水平预测更为准确,表明该量表具有预测效度。这些结果表明,BCS 系统作为一种非侵入性、可靠和有效的技术具有实用性,它可能比传统方法更能敏感地识别和量化黑猩猩和其他非人类灵长类动物的肥胖。该系统可以成为圈养管理人员监测和管理黑猩猩和其他非人类灵长类动物体重的有用工具。