Psychiatry research · 2026
Prescription opioid use and 12-month depression trajectories.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Scherrer Jeffrey F, Salas Joanne, Naidu Aniketh, Secrest Scott, Wilson Lauren, Pappas Celeste, Lustman Patrick J, Ahmedani Brian, Carpenter Ryan W, Miller-Matero Lisa R, Sullivan Mark D
Аннотация
INTRODUCTION: Retrospective cohort studies indicate prescription opioids increase risk for depression. No prospective cohort studies have modeled prescription opioid use and depression trajectories. We determined whether daily vs. non-daily prescription opioid use was associated with more severe and worsening depression.
METHODS: Participants with a new period of prescription opioid use were recruited from two health care systems. Those who enrolled were invited to complete twelve-monthly surveys over a year follow-up. Depression was measured with the PHQ-9, and opioid use was self-reported. From the 760 participants with 3 or more monthly surveys, we computed PHQ-9 latent growth trajectories. A 3-class solution best fit the data and revealed a severe-increasing depression trajectory, a moderate-stable, and a low-decreasing trajectory.
RESULTS: Participants were 53.6 ± 11.7 years of age, 68.5% were female and 70.5% identified as white race. Daily vs. non-daily opioid use was not significantly associated with depression trajectories. Higher emotional support (OR=0.92:95%CI:0.89-0.94) and ability to participate in social roles (OR=0.96; 95%CI:0.93-0.99) protected against, while pain related functional impairment (OR=1.39; 95%CI: 1.11-1.74), more pain sites (OR=1.20; 95%CI: 1.10-1.31) and smoking (OR=2.38; 95%CI:1.27-4.47) increased the likelihood of severe-increasing depression compared to low-decreasing depression.
CONCLUSIONS: The lack of an independent link between daily opioid use and worsening or more severe depression in this sample suggests that increased rates of depression in daily opioid-exposed patients may be a result of high risk patients receiving daily opioids rather than a direct effect of the opioid exposure. Screening for factors related to depression should improve safer opioid prescribing.
METHODS: Participants with a new period of prescription opioid use were recruited from two health care systems. Those who enrolled were invited to complete twelve-monthly surveys over a year follow-up. Depression was measured with the PHQ-9, and opioid use was self-reported. From the 760 participants with 3 or more monthly surveys, we computed PHQ-9 latent growth trajectories. A 3-class solution best fit the data and revealed a severe-increasing depression trajectory, a moderate-stable, and a low-decreasing trajectory.
RESULTS: Participants were 53.6 ± 11.7 years of age, 68.5% were female and 70.5% identified as white race. Daily vs. non-daily opioid use was not significantly associated with depression trajectories. Higher emotional support (OR=0.92:95%CI:0.89-0.94) and ability to participate in social roles (OR=0.96; 95%CI:0.93-0.99) protected against, while pain related functional impairment (OR=1.39; 95%CI: 1.11-1.74), more pain sites (OR=1.20; 95%CI: 1.10-1.31) and smoking (OR=2.38; 95%CI:1.27-4.47) increased the likelihood of severe-increasing depression compared to low-decreasing depression.
CONCLUSIONS: The lack of an independent link between daily opioid use and worsening or more severe depression in this sample suggests that increased rates of depression in daily opioid-exposed patients may be a result of high risk patients receiving daily opioids rather than a direct effect of the opioid exposure. Screening for factors related to depression should improve safer opioid prescribing.