Ojalehto Lindfors Elsa, De Oliveira Thaís Lopes, Reynolds Chandra A, Zhan Yiqiang, Dahl Aslan Anna K, Jylhävä Juulia, Sjölander Arvid, Karlsson Ida K
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Institute for Behavioral Genetics and Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, Colorado, USA.
Diabetes Obes Metab. 2025 Jan;27(1):207-214. doi: 10.1111/dom.16004. Epub 2024 Oct 9.
About 10%-30% of individuals with obesity are metabolically healthy, but the specific characteristics of the metabolically healthy obesity (MHO) phenotype remain unclear. We aimed to examine how physical activity, education, depressive symptoms and genetic predisposition to obesity differ between individuals with MHO and those with metabolically unhealthy obesity (MUO), and whether these factors predict stability in MHO or conversion to a metabolically unhealthy state.
We retrieved data on 9809 individuals with obesity from the Health and Retirement Study collected between 2006 and 2016. We compared how physical activity, education, depressive symptoms and a polygenic score for higher body mass index (BMI) (PGS) differed cross-sectionally between MHO and MUO using logistic regression. We then examined if the same factors predict conversion to a metabolically unhealthy state over 4 years in individuals with MHO.
Individuals with MHO had higher physical activity (odds ratio [OR] = 0.81), higher education (OR = 0.83) and lower depressive symptoms (OR = 1.14) compared to those with MUO but did not differ in the PGS. The associations were slightly attenuated in mutually adjusted models. None of the factors were associated with conversion from MHO to a metabolically unhealthy state. However, a higher PGS indicated 24% lower risk of conversion to a metabolically unhealthy state (p = 0.07).
Physical activity, education and depressive symptoms differed between MHO and MUO, even when mutually adjusted for, but did not predict conversion from a metabolically healthy to unhealthy state. Although not statistically significant, the results indicated that those with genetically predicted high BMI are more likely to maintain MHO and not convert to a metabolically unhealthy state.
约10%-30%的肥胖个体代谢健康,但代谢健康肥胖(MHO)表型的具体特征仍不清楚。我们旨在研究MHO个体与代谢不健康肥胖(MUO)个体在身体活动、教育程度、抑郁症状和肥胖遗传易感性方面的差异,以及这些因素是否能预测MHO的稳定性或转变为代谢不健康状态。
我们从2006年至2016年收集的健康与退休研究中检索了9809名肥胖个体的数据。我们使用逻辑回归比较了MHO和MUO个体在身体活动、教育程度、抑郁症状以及较高体重指数(BMI)的多基因评分(PGS)方面的横断面差异。然后,我们研究了这些相同因素是否能预测MHO个体在4年内转变为代谢不健康状态。
与MUO个体相比,MHO个体的身体活动水平更高(优势比[OR]=0.81)、教育程度更高(OR=0.83)且抑郁症状更少(OR=1.14),但在PGS方面没有差异。在相互调整的模型中,这些关联略有减弱。没有一个因素与从MHO转变为代谢不健康状态相关。然而,较高的PGS表明转变为代谢不健康状态的风险降低了24%(p=0.07)。
即使在相互调整后,MHO和MUO个体在身体活动、教育程度和抑郁症状方面仍存在差异,但这些因素并不能预测从代谢健康状态转变为不健康状态。尽管在统计学上不显著,但结果表明,那些遗传预测BMI较高的个体更有可能维持MHO状态,而不会转变为代谢不健康状态。