The association between dietary patterns, diabetes and depression

Dipnall, Joanna F.; Pasco, Julie A.; Meyer, Denny; Berk, Michael; Williams, Lana J.; Dodd, Seetal; Jacka, Felice N.

doi:10.1016/j.jad.2014.11.030

Cited by 77 publications

(56 citation statements)

References 68 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Using NHANES data, Dipnall and colleagues observed that, regardless of diabetes status, respondents reporting a more “healthy” diet had between 21% and 32% reduction in prevalence of depressive symptoms, as defined by the PHQ-9 (Dipnall et al, 2015). Other forms of prudent or “healthy” diets (e.g., Mediterranean) were associated with lower risk of depression or depressive symptomatology (Lai et al, 2014; Rienks, Dobson, & Mishra, 2013).…”

Section: Discussionmentioning

confidence: 99%

The Dietary Inflammatory Index, shift work, and depression: Results from NHANES.

Wirth¹,

Shivappa²,

Burch³

et al. 2017

Health Psychology

View full text Add to dashboard Cite

Objectives Abnormal physiology (e.g., inflammation), brought on by environmental exposures (e.g., diet or shiftwork [SW]), can affect numerous bodily systems, including the brain, and may be associated with depressive symptomatology. The study examined the associations between shiftwork and depressive symptoms and diet-related inflammation (estimated by the Dietary Inflammatory Index [DII]TM) and depressive symptoms. Additionally, diet was examined as a mediator between shiftwork and depressive symptoms. Methods Data were obtained from the United States National Health and Nutrition Examination Survey (2005–2012). SW data were based on self-report. Dietary data were collected using 24-hour dietary recalls for DII calculation. Depressive symptoms were defined using a cut-point of 10 (moderate) on the Patient Health Questionnaire-9. Logistic regression was used to estimate odds ratios and 95% confidence intervals (95%CI) for depressive symptoms by SW and DII quartiles. Results DII scores were associated with depressive symptoms among women. Women in DII quartile 4 were 30% more likely to report depressive symptoms than women in quartile 1 (95%CI=1.00–1.68). There was no association between symptoms and SW when using a PHQ-9 cut-point of 10. When using a cut-point of 5 (mild depressive symptoms), those working any form of shiftwork were more likely to suffer from mild symptoms than day workers (odds ratio=1.22; 95%CI=1.04–1.43). There was some evidence for mediation by the DII between SW and depressive symptoms. Conclusions Future longitudinal studies should examine effects of reductions in inflammation through diet on depressive symptoms, especially among shiftworkers, to elucidate the role of diet on depression among these groups.

show abstract

Section: Discussionmentioning

confidence: 99%

The Dietary Inflammatory Index, shift work, and depression: Results from NHANES.

Wirth¹,

Shivappa²,

Burch³

et al. 2017

Health Psychology

View full text Add to dashboard Cite

show abstract

“…In recapitulation, in a recent large study with about 4500 healthy controls, specific dietary patterns (healthy; unhealthy; sweets; 'Mexican' style; breakfast) predicted 39.8% of the total variance of depression incidence with or without diabetes [91].…”

Section: Association Studies Between Depression and Dietary Habitsmentioning

confidence: 90%

Nutritional Aspects of Depression

Lang

Beglinger

Schweinfurth

et al. 2015

Cell Physiol Biochem

212

134

View full text Add to dashboard Cite

Several nutrition, food and dietary compounds have been suggested to be involved in the onset and maintenance of depressive disorders and in the severity of depressive symptoms. Nutritional compounds might modulate depression associated biomarkers and parallel the development of depression, obesity and diabetes. In this context, recent studies revealed new mediators of both energy homeostasis and mood changes (i.e. IGF-1, NPY, BDNF, ghrelin, leptin, CCK, GLP-1, AGE, glucose metabolism and microbiota) acting in gut brain circuits. In this context several healthy foods such as olive oil, fish, fruits, vegetables, nuts, legumes, poultry, dairy and unprocessed meat have been inversely associated with depression risk and even have been postulated to improve depressive symptoms. In contrast, unhealthy western dietary patterns including the consumption of sweetened beverage, refined food, fried food, processed meat, refined grain, and high fat diary, biscuits, snacking and pastries have been shown to be associated with an increased risk of depression in longitudinal studies. However, it is always difficult to conclude a real prospective causal relationship from these mostly retrospective studies as depressed individuals might also change their eating habits secondarily to their depression. Additionally specific selected nutritional compounds, e.g. calcium, chromium, folate, PUFAs, vitamin D, B12, zinc, magnesium and D-serine have been postulated to be used as ad-on strategies in antidepressant treatment. In this context, dietary and lifestyle interventions may be a desirable, effective, pragmatical and non-stigmatizing prevention and treatment strategy for depression. At last, several medications (pioglitazone, metformin, exenatide, atorvastatin, gram-negative antibiotics), which have traditionally been used to treat metabolic disorders showed a certain potential to treat depression in first randomized controlled clinical trials.

show abstract

“…Conversely, high fat diets trigger microbial dysbiosis, intestinal permeability (‘leaky gut’) and inflammation [61]. We have previously demonstrated that healthy dietary patterns are associated with a reduced likelihood of depressive symptoms in adults participating in the NHANES [62]. This suggests that unhealthy dietary behaviors may be a key factor negatively influencing both gut health and depression, with bowel symptoms signifying poor gut health.…”

Section: Discussionmentioning

confidence: 99%

Into the Bowels of Depression: Unravelling Medical Symptoms Associated with Depression by Applying Machine-Learning Techniques to a Community Based Population Sample

et al. 2016

Self Cite

View full text Add to dashboard Cite

BackgroundDepression is commonly comorbid with many other somatic diseases and symptoms. Identification of individuals in clusters with comorbid symptoms may reveal new pathophysiological mechanisms and treatment targets. The aim of this research was to combine machine-learning (ML) algorithms with traditional regression techniques by utilising self-reported medical symptoms to identify and describe clusters of individuals with increased rates of depression from a large cross-sectional community based population epidemiological study.MethodsA multi-staged methodology utilising ML and traditional statistical techniques was performed using the community based population National Health and Nutrition Examination Study (2009–2010) (N = 3,922). A Self-organised Mapping (SOM) ML algorithm, combined with hierarchical clustering, was performed to create participant clusters based on 68 medical symptoms. Binary logistic regression, controlling for sociodemographic confounders, was used to then identify the key clusters of participants with higher levels of depression (PHQ-9≥10, n = 377). Finally, a Multiple Additive Regression Tree boosted ML algorithm was run to identify the important medical symptoms for each key cluster within 17 broad categories: heart, liver, thyroid, respiratory, diabetes, arthritis, fractures and osteoporosis, skeletal pain, blood pressure, blood transfusion, cholesterol, vision, hearing, psoriasis, weight, bowels and urinary.ResultsFive clusters of participants, based on medical symptoms, were identified to have significantly increased rates of depression compared to the cluster with the lowest rate: odds ratios ranged from 2.24 (95% CI 1.56, 3.24) to 6.33 (95% CI 1.67, 24.02). The ML boosted regression algorithm identified three key medical condition categories as being significantly more common in these clusters: bowel, pain and urinary symptoms. Bowel-related symptoms was found to dominate the relative importance of symptoms within the five key clusters.ConclusionThis methodology shows promise for the identification of conditions in general populations and supports the current focus on the potential importance of bowel symptoms and the gut in mental health research.

show abstract

The association between dietary patterns, diabetes and depression

Cited by 77 publications

References 68 publications

The Dietary Inflammatory Index, shift work, and depression: Results from NHANES.

The Dietary Inflammatory Index, shift work, and depression: Results from NHANES.

Nutritional Aspects of Depression

Into the Bowels of Depression: Unravelling Medical Symptoms Associated with Depression by Applying Machine-Learning Techniques to a Community Based Population Sample

Contact Info

Product

Resources

About