St John's wort use in Australian general practice patients with depressive symptoms: their characteristics and use of other health services

Cross-Cultural Patient Counseling and Communication in the Integrative Medicine Setting: Respecting the Patient's Health Belief Model of Care

PURPOSE OF REVIEW

Communicating effectively with patients having a traditional, alternative or complementary medicine-related health-belief model is challenging in today's cross-cultural society. This narrative review explores the integrative medicine setting of care, focusing on insights from the integrative oncology daily practice, while addressing the relevance to the mental health setting. The way in which healthcare providers can enhance cultural-sensitive communication with patients and informal caregivers; recognize and respect health-beliefs to bridge cultural gaps; and generate an open, non-judgmental and mindful dialogue are discussed.

RECENT FINDINGS

Identifying cross-cultural barriers to healthcare provider-patient communication is important in order to address the potential for conflict between conventional and "alternative" health beliefs; difficulties in creating a shared-decision making process; disagreement on therapeutic goals and treatment plan; and finally, the potential for non-compliance or non-adherence to the conventional oncology treatment. Acquiring intercultural competencies is needed at all stages of medical education, and should be implemented in medical and nursing curricula, as well as during specialization and sub-specialization. As with patient-centered paradigms of care, integrative medicine entails a dual patient-centered and sensitive-cultural approach, based on a comprehensive bio-psycho-social-spiritual model of care.

The Role of the Gut Microbiota in Dietary Interventions for Depression and Anxiety

There is emerging evidence that an unhealthy dietary pattern may increase the risk of developing depression or anxiety, whereas a healthy dietary pattern may decrease it. This nascent research suggests that dietary interventions could help prevent, or be an alternative or adjunct therapy for, depression and anxiety. The relation, however, is complex, affected by many confounding variables, and is also likely to be bidirectional, with dietary choices being affected by stress and depression. This complexity is reflected in the data, with sometimes conflicting results among studies. As the research evolves, all characteristics of the relation need to be considered to ensure that we obtain a full understanding, which can potentially be translated into clinical practice. A parallel and fast-growing body of research shows that the gut microbiota is linked with the brain in a bidirectional relation, commonly termed the microbiome-gut-brain axis. Preclinical evidence suggests that this axis plays a key role in the regulation of brain function and behavior. In this review we discuss possible reasons for the conflicting results in diet-mood research, and present examples of areas of the diet-mood relation in which the gut microbiota is likely to be involved, potentially explaining some of the conflicting results from diet and depression studies. We argue that because diet is one of the most significant factors that affects human gut microbiota structure and function, nutritional intervention studies need to consider the gut microbiota as an essential piece of the puzzle.

Body Mass Index Category Moderates the Relationship Between Depressive Symptoms and Diet Quality in Overweight and Obese Rural-Dwelling Adults

PURPOSE

This study was conducted to (1) compare diet quality among depressed and nondepressed overweight and obese rural-dwelling adults and (2) determine whether body mass index (BMI) category moderates the relationship between depressive symptoms and overall diet quality.

METHODS

Rural adults in Kentucky (n = 907) completed the 9-item Patient Health Questionnaire (PHQ-9) that assessed depressive symptoms and a food frequency questionnaire that generated 2005 Healthy Eating Index (HEI) scores. Participants were grouped into overweight (BMI 25-29.9 kg/m² ) and obese (≥30 kg/m² ), and nondepressed (PHQ-9 < 10) and depressed (PHQ-9 ≥ 10) groups. Bootstrapped ANCOVAs were used to compare diet quality among the 4 groups. Ordinary least-squares regression using PROCESS was used to determine whether BMI category (overweight vs obese) moderated the association between depressive symptoms and overall diet quality.

RESULTS

Overall diet quality was poorer in the obese depressed group than in the obese nondepressed group. Intake of fruit and dark green/orange vegetables and legumes was lower in the obese depressed group than in the overweight nondepressed group. Depressive symptoms predicted poor overall diet quality (B = -0.287, P < .001) and the relationship was moderated by BMI category (coefficient of BMI category^* depressive symptom interaction term = 0.355, P < .049). A significant inverse relationship between depressive symptoms and overall diet quality was observed in the overweight group but not in the obese group.

CONCLUSION

Components of diet quality vary according to BMI category and depressive symptom status. The relationship between depressive symptoms and diet quality is influenced by BMI category.

Does reverse causality explain the relationship between diet and depression?

BACKGROUND

Observational studies have repeatedly demonstrated relationships between habitual diet quality and depression. However, whilst reverse causality has not been the identified mechanism for these associations in prospective studies, the relationship between diet and depression is likely complex and bidirectional. Thus explicit investigation of the reverse causality hypothesis is warranted.

METHODS

Data were drawn from the Personality and Total Health (PATH) Through Life Study, a longitudinal community survey following three age cohorts from Australia. Analyses evaluated the relationships between past depression and treatment, current depressive symptoms and dietary patterns.

RESULTS

Individuals with current depression had lower scores on a healthy dietary pattern; however, those who had been previously depressed and sought treatment had higher scores on the healthy dietary pattern at the later baseline assessment. Moreover, those who had reported prior, but not current, depression also had lower scores on the western dietary pattern than those without prior depression, regardless of whether they had been previously treated for their symptoms.

LIMITATIONS

Self-report data and possible recall bias limit our conclusions.

CONCLUSIONS

In this study, prior depression was associated with better quality diets at the later time point. Thus, while current depression is associated with poorer dietary habits, a history of depression may prompt healthier dietary behaviours in the long term. Given the demonstrated relationships between diet quality and depressive illness, clinicians should advocate dietary improvement for their patients with depression and should not be pessimistic about the likelihood of adherence to such recommendations.