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多病共存的老年超重、肥胖与抑郁:初级保健中的患病率、诊断一致性及相关因素——一项多中心观察性研究的结果

Overweight, Obesity, and Depression in Multimorbid Older Adults: Prevalence, Diagnostic Agreement, and Associated Factors in Primary Care-Results from a Multicenter Observational Study.

作者信息

Bludau Daniel Christopher, Pabst Alexander, Bleck Franziska, Weyerer Siegfried, Maier Wolfgang, Gensichen Jochen, Mergenthal Karola, Bickel Horst, Fuchs Angela, Schäfer Ingmar, König Hans-Helmut, Wiese Birgitt, Schön Gerhard, Wegscheider Karl, Scherer Martin, Riedel-Heller Steffi G, Löbner Margrit

机构信息

Institute for Social Medicine, Occupational Health and Public Health, University of Leipzig, 04103 Leipzig, Germany.

Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159 Mannheim, Germany.

出版信息

Nutrients. 2025 Apr 21;17(8):1394. doi: 10.3390/nu17081394.

Abstract

: Obesity and depression, in conjunction with multimorbidity, are interconnected conditions increasingly managed in general practitioner (GP) settings, yet these associations remain insufficiently studied in older patients. This study investigates the prevalence of depression across different body mass index (BMI) classes and includes age and gender differences in multimorbid older patients, offering a novel perspective on subgroup-specific patterns. Further the agreement between GP depression diagnoses and the Geriatric Depression Scale (GDS) is studied and patient-specific factors that may affect the agreement are explored, aiming to improve future diagnostics for vulnerable subgroups. : Data were provided by the baseline assessment of the MultiCare Study, a prospective multicenter observational cohort of multimorbid patients aged 65+ years recruited from 158 GP practices across eight study centers in Germany. Data from 2568 study participants were analyzed based on GP-coded International Classification of Diseases (ICD) diagnoses, structured GP questionnaires, and patient questionnaires. Assessments included data on the BMI and depression (15 item version of the GDS). Agreement between GP diagnoses of depression and GDS assessment was measured using Cohen's kappa. Four logistic regression models were used to examine the effects of patient-specific factors on the agreement of depression diagnosis (match or mismatch). : GPs diagnosed depression in 17.3% of cases, compared to the detection of depressive symptoms in 12.4% of the patients by GDS (cut-off ≥ 6 points). The highest prevalence rates were observed in patients with obesity class III (25.0% by GP; 21.7% by GDS). Women were significantly more likely to receive a depression diagnosis by a GP across most BMI classes (except obesity classes II and III). The detection of depressive symptoms by GDS was significantly more prevalent in older multimorbid obese patients (≥75 years), except for patients with obesity class III. The overall agreement between GP diagnosis and GDS assessment was weak (κ = 0.156, < 0.001). The highest agreement was found for people with obesity class III (κ = 0.256, < 0.05). Factors associated with a True Positive depression diagnosis (match by both GDS and GP) were female gender (odds ratio (OR) = 1.83, < 0.05), widowhood (OR = 2.43, < 0.01), limited daily living skills (OR = 3.14, < 0.001), and a higher level of education (OR = 2.48, < 0.01). A significantly lower likelihood of a False Negative depression diagnosis was found for patients with obesity class III. : This study highlights the significant prevalence of depression among multimorbid older adults across different BMI classes, particularly in those with obesity class III. The weak diagnostic agreement between GP diagnosis and GDS assessment suggests a need for improved diagnostic practices in primary care. Implementing standardized screening tools and fostering collaboration with mental health specialists could enhance the identification and management of depression in this vulnerable population.

摘要

肥胖与抑郁症,再加上多种疾病并存,是在全科医生(GP)诊疗环境中越来越多地被共同管理的相互关联的病症,但在老年患者中,这些关联仍未得到充分研究。本研究调查了不同体重指数(BMI)类别中抑郁症的患病率,并纳入了患有多种疾病的老年患者的年龄和性别差异,为特定亚组模式提供了新的视角。此外,还研究了全科医生对抑郁症的诊断与老年抑郁量表(GDS)之间的一致性,并探讨了可能影响一致性的患者特定因素,旨在改善对脆弱亚组的未来诊断。:数据来自多照护研究的基线评估,这是一项前瞻性多中心观察性队列研究,研究对象是从德国八个研究中心的158家全科医生诊所招募的65岁及以上患有多种疾病的患者。基于全科医生编码的国际疾病分类(ICD)诊断、结构化的全科医生问卷和患者问卷,对2568名研究参与者的数据进行了分析。评估包括有关BMI和抑郁症(GDS的15项版本)的数据。使用科恩kappa系数来衡量全科医生对抑郁症的诊断与GDS评估之间的一致性。使用四个逻辑回归模型来检验患者特定因素对抑郁症诊断一致性(匹配或不匹配)的影响。:全科医生诊断出17.3%的病例患有抑郁症,相比之下,GDS检测出12.4%的患者有抑郁症状(临界值≥6分)。在III级肥胖患者中观察到最高患病率(全科医生诊断为25.0%;GDS诊断为21.7%)。在大多数BMI类别中(II级和III级肥胖除外),女性被全科医生诊断为抑郁症的可能性显著更高。GDS检测到的抑郁症状在患有多种疾病的老年肥胖患者(≥75岁)中更为普遍,III级肥胖患者除外)。全科医生诊断与GDS评估之间的总体一致性较弱(κ = 0.156,P < 0.001)。在III级肥胖人群中发现了最高的一致性(κ = 0.256,P < 0.05)。与真正阳性抑郁症诊断(GDS和全科医生均匹配)相关的因素是女性性别(优势比(OR) = 1.83,P < 0.05)、丧偶(OR = 2.43,P < 0.01)、日常生活技能受限(OR = 3.14,P < 0.001)以及较高的教育水平(OR = 2.48,P < 0.01)。发现III级肥胖患者出现假阴性抑郁症诊断的可能性显著更低。:本研究强调了在患有多种疾病的老年人中,不同BMI类别中抑郁症的患病率都很高,尤其是在III级肥胖患者中。全科医生诊断与GDS评估之间较弱的诊断一致性表明,初级保健中需要改进诊断方法。实施标准化筛查工具并促进与心理健康专家的合作,可以加强对这一脆弱人群中抑郁症的识别和管理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f343/12030450/c1f5114f5078/nutrients-17-01394-g001.jpg

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