Risk Of Depression In Patients Research Articles

Association Between Biologic Exposure and the Risk of Depression in Patients with Psoriasis: A Retrospective Analysis of Large US Administrative Claims Data

Association Between Biologic Exposure and the Risk of Depression in Patients with Psoriasis: A Retrospective Analysis of Large US Administrative Claims Data

Leukotriene-modifying agents may increase the risk of depression: A cross-sectional study

IntroductionPost-market monitoring has shown a potential link between the use of leukotriene-modifying agents (LTRAs) and an increased risk of neuropsychiatric events, such as depression. However, observational studies have produced inconsistent findings, offering no definitive conclusions. ObjectiveTo assess the potential correlation between LTRAs exposure and depression in US adults. MethodThis cross-sectional study, based on population data from the National Health and Nutrition Examination Survey (NHANES) 2007–2016 cycle. The Patient Health Questionnaire-9 was used to assess depression. Multivariable regression was used to evaluate the association between LTRAs exposure and depression. Sensitivity and subgroup analyses were conducted, with the calculation of the E-value. Network pharmacology was employed to investigate the influence of LTRAs on mechanisms of depression. ResultsAmong the 9414 participants, 595 (6.3 %) were classified as having depression. LTRAs exposure was associated with a higher prevalence of depression (16.9 % vs. 6.0 %). The multivariable logistic regression results showed that LTRAs use increased the risk of depression (OR = 1.70; 95 % CI, 1.05–2.75). An association between LTRAs exposure and depression was found in sensitivity analyses conducted regardless of multivariable linear regression with the PHQ-9 score as a continuous variable (β = 0.97; 95 % CI, 0.44–1.50) or multivariable logistic regression with the PHQ-9 cut-off of 5 (OR = 1.52; 95 % CI, 1.08–2.14). The association between LTRAs and depression was stable in the different subgroups. ConclusionLTRAs exposure is positively associated with depression in US adults. Therefore, the risk for depression in patients receiving long-term LTRAs treatment should be considered.

Risk of depression in patients with pneumoconiosis: A population-based retrospective cohort study

BackgroundPneumoconiosis is an important occupational disease; the association between pneumoconiosis and depression was largely unknown. This study aimed to investigate the relationship between pneumoconiosis and the risk of subsequent depression. MethodsA retrospective cohort study was conducted using Taiwan's National Health Insurance database. The study included 16,795 patients diagnosed with pneumoconiosis between 2008 and 2018 and a comparison cohort of 67,180 individuals without pneumoconiosis, propensity score matched in a 1:4 ratio based on age, sex, monthly income, residential urbanization level, and date of pneumoconiosis diagnosis. The development of depression was monitored until the end of 2019. ResultsThe incidence of depression was 1.68 times higher in the pneumoconiosis cohort than that in the comparison cohort, with an incidence rate of 10.07 versus 5.99 per 1000 person-years (adjusted hazard ratio [aHR] = 1.84, 95 % confidence interval [CI] = 1.70–1.99). The risk of depression increased with an increased mean annual number of emergency department visits for pneumoconiosis, with aHRs of 1.34 (95 % CI = 1.13–1.59) and 2.31 (95 % CI = 1.94–2.76) for 1 ≤ n < 2, and n ≥ 2 compared to n < 1, respectively. LimitationThe database lacked detailed socioeconomic history, family history, and clinical variables. ConclusionThis study found that patients with pneumoconiosis have a significantly higher risk of depression than those without pneumoconiosis. Furthermore, the risk of depression increases with the frequency of emergency department visits for pneumoconiosis. Healthcare professionals should pay close attention to the mental health of patients with pneumoconiosis.

Is there a link between the inflammatory potential of a diet and mental health among patients with migraine? Findings from a cross-sectional survey

ABSTRACT Aims In this study, we aimed to evaluate the relationship between the dietary inflammatory index (DII) and mental health outcomes among patients with migraine headaches. Methods In this cross-sectional study, 262 subjects were included. The dietary intakes were collected using a validated 168-item semi-quantitative food frequency questionnaire. Items were scored according to their inflammatory potential, so a higher DII indicated a more pro-inflammatory diet. The association between DII and the mental health of participants was investigated using multinomial logistic regression and odds ratio (OR) with a corresponding 95% confidence interval (CI) was reported. Results Overall, 224 women and 38 men, with a mean (standard error) DII of −2.96 (0.06), age of 36.1 (0.53) years, and BMI of 25.55 (0.21) kg/m2, comprised our study population. DII was positively associated with a higher risk of depression in patients with the highest adherence to a pro-inflammatory diet compared to those with the lowest adherence (OR = 1.76; 95%CI: 1.04, 3.00; Ptrend = 0.035). Adjustments for age, sex, marital status, smoking status, migraine headache index score, number of family members, mean arterial pressure, medication, physical activity, and BMI intensified the association in a way that the risk of depression was 2.03 times higher in patients with the highest adherence to a pro-inflammatory diet compared to those with the lowest adherence to a pro-inflammatory diet (OR = 2.03; 95%CI: 1.18, 3.49; Ptrend = 0.011). Conclusion Our findings suggest that depression was positively associated with adherence to a pro-inflammatory diet. However, no significant association was observed between anxiety and stress with DII.

Predicting Depression Risk in Patients With Cancer Using Multimodal Data: Algorithm Development Study.

Patients with cancer starting systemic treatment programs, such as chemotherapy, often develop depression. A prediction model may assist physicians and health care workers in the early identification of these vulnerable patients. This study aimed to develop a prediction model for depression risk within the first month of cancer treatment. We included 16,159 patients diagnosed with cancer starting chemo- or radiotherapy treatment between 2008 and 2021. Machine learning models (eg, least absolute shrinkage and selection operator [LASSO] logistic regression) and natural language processing models (Bidirectional Encoder Representations from Transformers [BERT]) were used to develop multimodal prediction models using both electronic health record data and unstructured text (patient emails and clinician notes). Model performance was assessed in an independent test set (n=5387, 33%) using area under the receiver operating characteristic curve (AUROC), calibration curves, and decision curve analysis to assess initial clinical impact use. Among 16,159 patients, 437 (2.7%) received a depression diagnosis within the first month of treatment. The LASSO logistic regression models based on the structured data (AUROC 0.74, 95% CI 0.71-0.78) and structured data with email classification scores (AUROC 0.74, 95% CI 0.71-0.78) had the best discriminative performance. The BERT models based on clinician notes and structured data with email classification scores had AUROCs around 0.71. The logistic regression model based on email classification scores alone performed poorly (AUROC 0.54, 95% CI 0.52-0.56), and the model based solely on clinician notes had the worst performance (AUROC 0.50, 95% CI 0.49-0.52). Calibration was good for the logistic regression models, whereas the BERT models produced overly extreme risk estimates even after recalibration. There was a small range of decision thresholds for which the best-performing model showed promising clinical effectiveness use. The risks were underestimated for female and Black patients. The results demonstrated the potential and limitations of machine learning and multimodal models for predicting depression risk in patients with cancer. Future research is needed to further validate these models, refine the outcome label and predictors related to mental health, and address biases across subgroups.

Factors related to depression in non-small-cell lung cancer patients treated at K Hospital during 2021 - 2022

Non-small cell lung cancer is currently the second most common cancer when assessing common cancer and the number of cancer deaths; there are a limited number of studies about depression in lung cancer patients in Vietnam. This cross -sectional descriptive study aimed to describe depression in non-small cell lung cancer patients treated at K Hospital from 2021 – 2022 and associated factors. The study was conducted on 243 NSCLC patients treated at K Tan Trieu Hospital by direct phone call interview and psychiatric clinical examination. We applied the PHQ-9 scale and DSM-5 for screening and confirmed depression, and the SF-12 scale was applied for quality of life measurement. The study found that stage IV disease increased the risk of depression more than 6 times in lung cancer patients (OR = 6.47; p&lt;0.05) and patients with poor QoL in the depression group, in which quality of life of mental health (36.94 ± 5.43) and physical health (41.78 ± 7.17) were all lower than those in the group without depression. Measures to monitor mental health, screen for early detection and treatment interventions, and improve quality of life are the top priorities to reduce the risk of depression in patients with non-small cell lung cancer.

Impact of virtual reality-based therapy on post-stroke depression: A systematic review and meta-analysis of randomized controlled trials.

Post-stroke depression is the most common neuropsychiatric consequence and reduces rehabilitation effectiveness. However, the efficacy of virtual reality (VR) on mental health treatment for patients after a stroke is uncertain. The aim of this study was to evaluate the efficacy of VR as a co-adjuvant form of treatment to reduce depression in stroke patients admitted to neurorehabilitation units. We systematically searched medical databases including PubMed, CINAHL, PsycINFO, Embase, Cochrane Library, Web of Science, and ClinicalTrials.gov from inception to November 16, 2023. Clinical trials comparing the use of VR as an adjuvant form of treatment in stroke patients' rehabilitation with the usual treatment were included. Pooled standardized mean differences were calculated using a random-effects model. Subgroup analyses were performed according to type of stroke, VR characteristics, and the scale used to measure depression. Meta-regression analysis was performed for intervention duration and to determine the mean age of the participants. Eight studies and 388 stroke patients were included. The VR interventions were associated with a lower risk of depression in patients (ES = -0.69; 95% CI [-1.05, -0.33]; I2 = 57.6%; p ≤ .02). The estimates were not affected by the type of stroke, the type of VR used, the blinding process, the type of scale used to detect depression, the duration of the intervention (weeks and minutes), and the total number of sessions. Meta-regression shows that younger samples (p = .00; 95% CI [0.01, 0.08) and longer interventions (p = < .05; 95% CI [-0.00, -0.00) lead to a greater reduction in depression. This review provides an important basis for treating depression in patients after a stroke. Professionals working in stroke neurorehabilitation units should consider VR as a form of co-adjuvant treatment for depression in patients. CRD42022303968.

PB0926 Venous Thromboembolism and Risk of Depression in Patients with Hematological Cancer: A Population-Based Cohort Study

PB0926 Venous Thromboembolism and Risk of Depression in Patients with Hematological Cancer: A Population-Based Cohort Study

Some Factors Related to Depression in Non-Small-Cell Lung Cancer Patients Treated at K Hospital During 2021 – 2022

Background Understanding lung cancer is currently the second most common cancer when assessing common cancer and the number of cancer deaths; there are a limited number of studies about depression in lung cancer patients in Vietnam. Objective This study aimed to describe depression in non-small cell lung cancer patients treated at K Hospital from 2021 – 2022 and associated factors. Methods Cross-sectional descriptive study. The study was conducted on 243 NSCLC patients treated at K Tan Trieu Hospital by direct phone call interview and psychiatric clinical examination. We applied the PHQ-9 scale and DSM-5 for screening and confirmed depression, and the SF-12 scale was applied for quality of life measurement. Results The study found that the risk factors related to depression included stage IV disease increasing the risk of depression more than 6 times in lung cancer patients (OR = 6.47; p&lt;0.05) and patients with poor QoL in the depression group, in which quality of life of mental health (36.94 ± 5.43) and physical health (41.78 ± 7.17) were all lower than those in the group without depression. Conclusions Measures to monitor mental health, screen for early detection and treatment interventions, and improve quality of life are the top priorities to reduce the risk of depression in patients with non-small cell lung cancer.

Construction and Validation of a Nomogram Predicting Depression Risk in Patients with Acute Coronary Syndrome Undergoing Coronary Stenting: A Prospective Cohort Study.

To construct and validate a nomogram for predicting depression after acute coronary stent implantation for risk assessment. This study included 150 patients with acute coronary syndrome (ACS) who underwent stent implantation. Univariate analysis was performed to identify the predictors of postoperative depression among the 24 factors. Subsequently, multivariate logistic regression was performed to incorporate the significant predictors into the prediction model. The model was developed using the "rms" software package in R software, and internal validation was performed using the bootstrap method. Of the 150 patients, 82 developed depressive symptoms after coronary stent implantation, resulting in an incidence of depression of 54.7%. Univariate analysis showed that sleep duration ≥7 h, baseline GAD-7 score, baseline PHQ-9 score, and postoperative GAD-7 score were associated with the occurrence of depression after stenting in ACS patients (all p < 0.05). Multivariate logistic regression analysis revealed that major life events in the past year (OR = 2.783,95%CI: 1.121-6.907, p = 0.027), GAD-7 score after operation (OR = 1.165, 95% CI: 1.275-2.097, p = 0.000), and baseline PHQ-9 score (OR = 3.221, 95%CI: 2.065-5.023, p = 0.000) were significant independent risk factors for ACS patients after stent implantation. Based on these results, a predictive nomogram was constructed. The model demonstrated good prediction ability, with an AUC of 0.857 (95% CI = 0.799-0.916). The correction curve showed a good correlation between the predicted results and the actual results (Brier score = 0.15). The decision curve analysis and prediction model curve had clinical practical value in the threshold probability range of 7 to 94%. This nomogram can help to predict the incidence of depression and has good clinical application value. This trial is registered with ChiCTR2300071408.

Risk of Depression in Patients with Acromegaly in Korea (2006-2016): A Nationwide Population-Based Study.

An increased prevalence of depression has been reported in patients with acromegaly. However, most studies included a relatively small sample size owing to the rarity of acromegaly. We aimed to investigate the risk of depression in patients with acromegaly using the Korean National Health Information Database (NHID). The data of patients with acromegaly in 2006-2016 were collected from the rare incurable disease registry of the NHID. Patients with acromegaly were matched with control participants without acromegaly for age and sex in a 1:5 ratio. Patients who did not receive treatment for acromegaly had a significantly increased risk of depression [hazard ratio (HR): 1.43, 95% confidence interval (CI): 1.12-1.82]. However, the risk of depression did not increase in patients who received treatment for acromegaly. The multiple Cox regression analysis showed that the risk of depression was significantly higher in the untreated group than in the control group during the first three years of observation (HR: 1.829; 95% CI: 1.305-2.563). However, after a time lag of over 3 years, the risk of depression decreased in the untreated group, which is similar to that in the control group. Our nationwide study suggests that patients who did not receive treatment for acromegaly have a higher risk of depression compared with controls. The untreated acromegaly patients should be monitored for the development of depression, especially in the early years after diagnosis. These results could serve as a basis for developing screening strategies to mitigate depression in acromegaly patients.

Effects of perioperative use of esketamine on postpartum depression risk in patients undergoing cesarean section: A randomized controlled trial

BackgroundPostpartum depression (PPD) is a prevalent public health issue. Although ketamine has prophylactic effects on PPD in women undergoing cesarean section, the effects of esketamine on PPD remain unclear. This trial aimed to evaluate the efficacy of perioperative esketamine infusion on PPD risk by assessing Edinburgh Postnatal Depression Scale (EPDS) scores and blood biomarkers. MethodsA total of 150 participants undergoing elective cesarean section were randomly allocated to receive either esketamine or normal saline. Since 27 participants were excluded due to consent withdrawal or loss to follow-up, 123 patients were included. The primary outcome was the prevalence of PPD risk. Secondary outcomes included the prevalence of postpartum anxiety (PPA) risk, levels of biomarkers, postoperative pain intensity, and cumulative sufentanil consumption. ResultsThe prevalence of PPD and PPA risk at 3 days, 42 days, 3 months, and 6 months postpartum did not differ between the two groups. Furthermore, EPDS scores, pain intensity at rest, and during coughing on postoperative days (POD) 1 and 2 did not differ between the two groups. Sufentanil consumption during 0–12 h, 12–24 h, 0–24 h, and 0–48 h postoperatively were significantly lower in the esketamine group compared to the control group. Blood biomarkers did not differ between the two groups on POD 3. LimitationsThe sample size was small. PPD risk was simply screened, not diagnosed. ConclusionsPerioperative administration of esketamine did not decrease the incidence of PPD risk in women after elective cesarean section. However, esketamine reduced opioid consumption.

Increased risk of depression in patients with discoid lupus erythematosus: a nested, case-control study in the All of Us Research Program.

In this nested case–control study, we found a twofold increased risk of major depressive disorder in patients with discoid lupus erythematosus (DLE) vs. controls without DLE, using the All of Us database, a National Institutes of Health (USA) research programme that prioritizes recruitment from demographic groups under-represented in biomedical research. This is the first large-scale study of this association in a heterogeneous population and highlights the importance vigilance regarding the increased risk of depression in patients with DLE.

Lower Urinary Tract Symptoms in Depression: A Review.

Lower Urinary Tract Symptoms (LUTS) are frequently present in the general population as patients age with approximately a third of individuals experiencing LUTS during their lifetime. LUTS can be further defined as having any of the following symptoms: urinary hesitancy, straining, nocturia, increased urination frequency, and dysuria. LUTS has the potential for patients to contribute their symptoms to what can normally occur as we age. This can lead to a decrease in patients seeking care and could negatively impact patients' health-related quality of life (HRQL). In conjunction with LUTS, we obtained from our analysis that LUTS and depression are closely related and worsening depressive symptoms may increase the severity of LUTS. We also discerned three categories of factors that can yield major depression namely adversity, internalizing, and externalizing factors. Within these categories, trauma, social support, genetic factors, and minimal education appeared to increase the risk of depression in patients. With the recent increase in mental health awareness and more access to mental health care amid the COVID-19 Pandemic, further screening, and collaboration between providers to treat both urological and psychiatric symptoms could improve patient outcomes. It is important for providers to have an increased understanding of the mental and physical impact both LUTS and depression can have on patients' wellbeing. This has the potential to help patients be more open about their symptoms with the aim of better addressing LUTS and depression to positively impact their HRQL.

The Hidden Burden-Exploring Depression Risk in Patients with Diabetic Nephropathy: A Systematic Review and Meta-Analysis.

Diabetic nephropathy is a common complication among patients with diabetes mellitus, and it has been linked to a higher risk of depression. However, the magnitude of this association remains unclear. This study aimed to systematically review and meta-analyse the risk of depression in patients with diabetic nephropathy compared to diabetes patients without nephropathy. We conducted a systematic literature review, searching multiple databases from January 1964 to March 2023, and included randomized controlled trials, non-randomized controlled trials, and observational studies. We assessed the risk of bias using the Newcastle Ottawa scale for observational studies. The statistical analysis was performed using STATA version 14.2, and pooled odds ratios (OR) with 95% confidence intervals (CI) were calculated. A total of 60 studies were included. The pooled OR for the risk of depression among patients with diabetic nephropathy was 1.78 (95% CI 1.56-2.04; I2 = 83%; n = 56), indicating a significantly higher risk compared to diabetes patients without nephropathy (p < 0.001). Pooling the effect size across these studies showed that the pooled OR was 1.15 (95% CI 1.14-1.16; I2 = 88%; n = 32). Subgroup analyses based on the type of diabetes and study region revealed no significant differences in the pooled estimates. This study demonstrates that patients with diabetic nephropathy have a significantly higher risk of depression compared to diabetes patients without nephropathy. These findings highlight the importance of assessing and addressing the mental health of patients with diabetic nephropathy as part of their overall healthcare management.

Applying Machine Learning to Construct a Model of Risk of Depression in Patients Following Cardiac Surgery with the Use of the SF-12 Survey

Depression is a common problem in patients with cardiovascular diseases. Identifying a risk factor model of depression has been postulated. A model of the risk of depression would provide a better understanding of this disorder in this population. We sought to construct a model of the risk factors of depression in patients following cardiac surgery, with the use of machine learning. Two hundred and seventeen patients (65.4% men; mean age 65.14 years) were asked to complete the short form health survey-12 (SF-12v.2), three months after hospital discharge. Those at risk of depression were identified based on the SF-12 mental component summary (MCS). Centroid class principal component analysis (CCPCA) and the classification and regression tree (CART) were used to design a model. A risk of depression was identified in 29.03% of patients. The following variables explained 82.53% of the variance in depression risk: vitality, limitation of activities due to emotional problems (role-emotional, RE), New York Heart Association (NYHA) class, and heart failure. Additionally, CART revealed that decreased vitality increased the risk of depression to 45.44% and an RE score > 68.75 increased it to 63.11%. In the group with an RE score < 68.75, the NYHA class increased the risk to 41.85%, and heart failure further increased it to 44.75%. Assessing fatigue and vitality can help health professionals with identifying patients at risk of depression. In addition, assessing functional status and dimensions of fatigue, as well as the impact of emotional state on daily functioning, can help determine effective intervention options.

Establishment and verification of a nomogram model for predicting the risk of post-stroke depression.

The purpose of this study was to establish a nomogram predictive model of clinical risk factors for post-stroke depression (PSD). We used the data of 202 stroke patients collected from Xuanwu Hospital from October 2018 to September 2020 as training data to develop a predictive model. Nineteen clinical factors were selected to evaluate their risk. Minimum absolute contraction and selection operator (LASSO, least absolute shrinkage and selection operator) regression were used to select the best patient attributes, and seven predictive factors with predictive ability were selected, and then multi-factor logistic regression analysis was carried out to determine six predictive factors and establish a nomogram prediction model. The C-index, calibration chart, and decision curve analyses were used to evaluate the predictive ability, accuracy, and clinical practicability of the prediction model. We then used the data of 156 stroke patients collected by Xiangya Hospital from June 2019 to September 2020 for external verification. The selected predictors including work style, number of children, time from onset to hospitalization, history of hyperlipidemia, stroke area, and the National Institutes of Health Stroke Scale (NIHSS) score. The model showed good prediction ability and a C index of 0.773 (95% confidence interval: [0.696-0.850]). It reached a high C-index value of 0.71 in bootstrap verification, and its C index was observed to be as high as 0.702 (95% confidence interval: [0.616-0.788]) in external verification. Decision curve analyses further showed that the nomogram of post-stroke depression has high clinical usefulness when the threshold probability was 6%. This novel nomogram, which combines patients' work style, number of children, time from onset to hospitalization, history of hyperlipidemia, stroke area, and NIHSS score, can help clinicians to assess the risk of depression in patients with acute stroke much earlier in the timeline of the disease, and to implement early intervention treatment so as to reduce the incidence of PSD.

The effect of levetiracetam on depression and anti-oxidant activity in patients with epilepsy.

Background: Levetiracetam (LEV) is approved for treating epilepsy. The current evidence shows that LEV can cause behavioral problems such as depression. It is well-known that depression is associated with oxidative stress. Therefore, we conducted this study to assess the influence of LEV on depression severity and anti-oxidant status. Methods: In this prospective longitudinal study, 50 patients with diagnosis of epilepsy on LEV were included. We used Beck Depression Inventory-II (BDI-II) to assess depression severity. The serum levels of zinc and glutathione were measured as anti-oxidant markers. These variables were evaluated at the baseline and 3 months after the commencement of LEV. Results: A total of 30 patients finished the follow-up. Among them, 21 patients were women. The mean age at baseline was 28.76 ± 11.37 (range: 16-68 years). The severity of depression at the last follow-up was significantly higher than the baseline. We observed a decrease in the serum levels of zinc and glutathione, though they were not statistically significant. Conclusion: Our results suggest that LEV can increase the risk of depression in patients with epilepsy. This study also suggests that zinc depletion can be induced through act of LEV. Further studies are needed to validate these findings.

Depression and suicide risk in dermatological diseases - a review of the literature

Introduction&#x0D; Depression can be an independent disease entity, but can also result from other somatic diseases. Psychodermatology is a scientific field that deals with the interactions between dermatology and psychiatry and psychology. It is estimated that psychiatric disorders may co-occur in up to 30-60% of people with dermatological conditions. Mood disorders of the depressive type are most common among this group of patients [1]. It is important that skin specialists pay attention to the mental state of their patients in their daily practice. &#x0D; Objective&#x0D; In our work, we would like to draw attention to the interplay between psychiatric and dermatological diseases. &#x0D; Methods&#x0D; A literature search was performed in the PubMed medical publication database using the following keywords: depression; dermatology; skin; somatic; psychiatry; psoriasis; atopic dermatitis; acnes vulgaris; suicidal risk.&#x0D; Results&#x0D; There is a proven risk of depression in patients with psoriasis, acne and atopic dermatitis. These diseases also increase the risk of suicidal thoughts.&#x0D; Conclusions&#x0D; Awareness among professionals and patients of the co-occurrence of these disorders is insufficient, which in some cases can lead to serious consequences for the patient and affect the effectiveness of treatment of both dermatological and psychiatric disorders.

Correlation between dietary score and depression in cancer patients: Data from the 2005-2018 National Health and Nutrition Examination Surveys.

AimTo investigate the correlation between dietary score and depression in patients with cancer.MethodsIn this cross-sectional study, data were collected from the National Health and Nutrition Examination Survey (NHANES) 2005–2018, a cross-sectional and nationally representative database, to compare 322 patients with depression to 2,868 with no depression. Mediterranean (MEDS) diet, Dietary Approaches to Stop Hypertension (DASH) diet, and the Healthy Eating Index 2015 (HEI-2015) score were calculated. Depression was assessed using the Patient Health Questionnaire-9 (PHQ-9). Weighted logistic regression models were used to explore the relationship between dietary scores and depression in patients with cancer. Subgroup analysis was performed by sleep disorders, sex, cancer type, number of tumors, and pain relief prescription treatment.ResultsThe final study sample included 3,190 adults, with 56.94% of them being women, representing 2,177 (86.51%) non-Hispanic white adults. After multivariable adjustment, the MEDS score was correlated with a reduced risk of depression in patients with cancer [odds ratio (OR): 0.90, 95% confidence interval (CI): 0.82–0.97, p = 0.010]. Moreover, the MEDS score was correlated with depression in cancer patients with sleep disorders (OR: 0.84, 95% CI: 0.76–0.93, p = 0.001), in female patients with cancer (OR: 0.83, 95% CI: 0.74–0.92, p < 0.001), particularly in female cancer reproductive system patients (OR: 0.69, 95% CI: 0.57–0.82, p < 0.001). MEDS score also showed a decreased risk of depression in patients with 1 cancer (OR: 0.90, 95% CI: 0.82–0.98, p = 0.019). MEDS score (OR: 0.86, 95% CI: 0.86–0.98, p = 0.024) and DASH (OR: 0.91, 95% CI: 0.84–0.98, p = 0.015) score were related to a decreased risk of depression in patients with cancer using pain relief prescription.ConclusionGood diet quality is significantly correlated with decreased risk of depression in patients with cancer. Aligning with the Dietary Guidelines, such as the MEDS diet, may be beneficial to the reduced risk of depression in patients with cancer.