Depression not only creates enormous costs for treatment and lost work time, but also increases the risk for other costly chronic diseases such as cardiovascular disease and diabetes. The magnitude of these risks remains unclear, with existing prospective studies using small sample sizes with limited diversity and reliant on surveys. We use 2 billion prescription fill records to quantify depression by antidepressant fill records. We track each patient's prescriptions longitudinally and use Cox's time varying proportional hazard model to quantify the effect of taking antidepressants on the hazard rate of taking drugs associated with other chronic diseases quantified similarly by disease-relevant fill records. Controlling for socioeconomic variables, antidepressant use increased the hazard rate for drugs used for cardiovascular disease (1.59 fold), diabetes (1.30) and cancer (1.50). Antidepressant use also predicted substantially higher use of sedatives (3.06) and amphetamines (4.11). Antidepressant use, as a proxy for depression, is a significant risk factor for the most prevalent and costly chronic diseases, and should be treated as a disease with quantifiable and significant implications for individual health.

中文翻译：

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使用纵向处方数据检查抗抑郁药使用后其他慢性疾病的发生率。

抑郁症不仅造成巨大的治疗费用和工作时间损失，而且增加了罹患其他代价高昂的慢性病（如心血管疾病和糖尿病）的风险。现有的前瞻性研究使用的样本量较小，多样性有限且依赖调查，因此这些风险的程度仍不清楚。我们使用20亿处方填充记录来通过抗抑郁药填充记录量化抑郁症。我们纵向跟踪每个患者的处方，并使用Cox时变比例风险模型来量化服用抗抑郁药对服用与其他慢性病有关的药物（通过疾病相关填充记录进行量化）的危险率的影响。控制社会经济变量后，抗抑郁药的使用增加了心血管疾病药物的危险率（1。59倍），糖尿病（1.30）和癌症（1.50）。抗抑郁药的使用也预示着镇静剂（3.06）和苯丙胺（4.11）的使用将大大增加。抗抑郁药可作为抑郁症的代名词，是最普遍和最昂贵的慢性疾病的重要危险因素，应被视为对个体健康具有可量化且重大影响的疾病。