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非忧郁性抑郁症状与赫尔辛基出生队列研究中高于平均水平的脂肪质量指数相关。

Non-melancholic depressive symptoms are associated with above average fat mass index in the Helsinki birth cohort study.

机构信息

Primary Health Care Unit, Helsinki University Hospital (HUS), Helsinki, Finland.

Folkhälsan Research Center, Helsinki, Finland.

出版信息

Sci Rep. 2022 Apr 28;12(1):6987. doi: 10.1038/s41598-022-10592-3.

DOI:10.1038/s41598-022-10592-3
PMID:35484274
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9051115/
Abstract

There is an existing link between two of the most common diseases, obesity and depression. These are both of great public health concern, but little is known about the relationships between the subtypes of these conditions. We hypothesized that non-melancholic depressive symptoms have a stronger relationship with both body composition (lean mass and fat mass) and dysfunctional glucose metabolism than melancholic depression. For this cross-sectional study 1510 participants from the Helsinki Birth Cohort Study had their body composition evaluated as lean mass and fat mass (Lean Mass Index [LMI, kg/m] + Fat Mass Index [FMI kg/m] = Body Mass Index). Participants were evaluated for depressive symptoms utilizing the Beck depression inventory, and had laboratory assessments including an oral glucose tolerance test. Higher than average FMI was associated with a higher percentage (mean [%], 95% CI) of participants scoring in the depressive range of the Beck depression inventory (20.2, 17.2-23.2) compared to those with low FMI (16.3, 13.8-18.9; p = 0.048) when adjusted for age, sex, education, and fasting plasma glucose concentration. Higher FMI was associated with a higher likelihood of having depressive symptoms (OR per 1-SD FMI = 1.37, 95% CI 1.13-1.65), whereas higher LMI was associated with a lower likelihood of having depressive symptoms (OR per 1-SD LMI = 0.76, 95% CI 0.64-0.91). Participants with an above average FMI more frequently (mean [%], 95% CI) had non-melancholic depressive symptoms (14.7, 11.8-17.7) as compared to those with low FMI (9.7, 7.6-11.9; p = 0.008) regardless of LMI levels. There was no difference between the body composition groups in the likelihood of having melancholic depressive symptoms. The non-melancholic group had higher (mean [kg/m], SD) FMI (9.6, 4.1) than either of the other groups (BDI < 10: 7.7, 3.1; melancholic: 7.9, 3.6; p < 0.001), and a higher (mean [mmol/l], SD) 2-h glucose concentration (7.21, 1.65) than the non-depressed group (6.71, 1.70; p = 0.005). As hypothesized, non-melancholic depressive symptoms are most closely related to high fat mass index and dysfunctional glucose metabolism.

摘要

肥胖症和抑郁症是两种最常见的疾病,它们之间存在关联。这两种疾病都对公众健康构成了巨大的威胁,但人们对这些疾病亚型之间的关系知之甚少。我们假设非忧郁性抑郁症状与身体成分(瘦体重和脂肪量)和功能失调的葡萄糖代谢之间的关系比忧郁性抑郁症更密切。

在这项横断面研究中,来自赫尔辛基出生队列研究的 1510 名参与者对其身体成分进行了评估,包括瘦体重和脂肪量(瘦体重指数[LMI,kg/m] + 脂肪量指数[FMI kg/m] = 体重指数)。参与者使用贝克抑郁量表评估抑郁症状,并进行了实验室评估,包括口服葡萄糖耐量试验。

与低 FMI 参与者(16.3,13.8-18.9;p = 0.048)相比,当调整年龄、性别、教育程度和空腹血糖浓度后,FMI 较高的参与者中,贝克抑郁量表的抑郁范围评分较高的参与者比例更高(平均值[百分比],95%置信区间)(20.2,17.2-23.2)。

较高的 FMI 与出现抑郁症状的可能性更高相关(每增加 1-SD FMI 的比值比[OR] = 1.37,95%置信区间 1.13-1.65),而较高的 LMI 与出现抑郁症状的可能性较低相关(每增加 1-SD LMI 的 OR = 0.76,95% CI 0.64-0.91)。

与低 FMI 参与者相比(9.7,7.6-11.9;p = 0.008),无论 LMI 水平如何,FMI 较高的参与者更常出现非忧郁性抑郁症状(平均值[百分比],95%置信区间)(14.7,11.8-17.7)。

在忧郁性抑郁症状出现的可能性方面,身体成分组之间没有差异。非忧郁性组的 FMI 较高(平均值[kg/m],SD)(9.6,4.1),高于其他任何组(BDI<10:7.7,3.1;忧郁性:7.9,3.6;p<0.001),并且 2 小时血糖浓度也较高(平均值[mmol/l],SD)(7.21,1.65),而非抑郁组(6.71,1.70;p=0.005)。

正如假设的那样,非忧郁性抑郁症状与高脂肪量指数和功能失调的葡萄糖代谢关系最密切。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e995/9051115/a681c43d5ccf/41598_2022_10592_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e995/9051115/5eed285183fc/41598_2022_10592_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e995/9051115/2f7daa8b7ba0/41598_2022_10592_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e995/9051115/74a8e5d69857/41598_2022_10592_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e995/9051115/a681c43d5ccf/41598_2022_10592_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e995/9051115/5eed285183fc/41598_2022_10592_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e995/9051115/2f7daa8b7ba0/41598_2022_10592_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e995/9051115/74a8e5d69857/41598_2022_10592_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e995/9051115/a681c43d5ccf/41598_2022_10592_Fig4_HTML.jpg

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