The association of diet and depression: an analysis of dietary measures in depressed, non-depressed, and healthy youth

Depression and emotional eating in children and adolescents: A systematic review and meta-analysis

Major Depressive Disorder in youth is associated with obesity and adult cardiovascular disease (CVD) risk. Eating in response to emotions (emotional eating) is a potential contributing factor to this association. Although emotional eating is associated with Major Depressive Disorder in adults, findings in children and adolescents are mixed. This systematic review and meta-analysis aims to determine the association between depression and emotional eating in children and adolescents. Systematic searches were conducted in seven databases. Studies were included if the study population had a mean age of ≤18 years and assessed both depression and emotional eating using validated measures. The search generated 12,241 unique studies, of which 37 met inclusion criteria. Random-effects meta-analyses of study outcomes were performed. Thirty-seven studies (26,026 participants; mean age = 12.4 years, SD = 3.1) were included. The mean effect size was significant for both cross-sectional and longitudinal data (Hedges' g = 0.48, p < 0.0001; g = 0.37, p = 0.002, respectively), revealing a positive moderately strong association between depressive symptoms and emotional eating in youth. Among longitudinal studies, the association was stronger when depressive symptoms and emotional eating were assessed using child and adolescent self-report versus parent-report. No studies examined youth with a clinical diagnosis of depression. Meta-analyses revealed that depressive symptoms and emotional eating are positively associated in children and adolescents. However, further research in clinical samples is needed. Results raise the possibility for the importance of emotional eating in the link between depression and early CVD risk, though further examination is required to determine whether emotional eating is a potential treatment target to decrease CVD risk among adolescents with increased depression symptoms.

Preconception depression reduces fertility: a couple-based prospective preconception cohort

STUDY QUESTION

Is preconception depression associated with time to pregnancy (TTP) and infertility?

SUMMARY ANSWER

Couples with preconception depression needed a longer time to become pregnant and exhibited an increased risk of infertility.

WHAT IS KNOWN ALREADY

Preconception depression in women contributes to impaired fertility in clinical populations. However, evidence from the general population-especially based on couples-is relatively scant.

STUDY DESIGN SIZE DURATION

A couple-based prospective preconception cohort study was performed in 16 premarital examination centers between April 2019 and June 2021. The final analysis included 16 521 couples who tried to conceive for ≤6 months at enrollment. Patients with infertility were defined as those with a TTP ≥12 months and those who conceived through ART.

PARTICIPANTS/MATERIALS SETTING METHODS

Couples' depression was assessed using the Patient Health Questionnaire-9 at baseline. Reproductive outcomes were obtained via telephone at 6 and 12 months after enrollment. Fertility odds ratios (FORs) and infertility risk ratios (RRs) in different preconception depression groups were analyzed using the Cox proportional-hazard models and logistic regression, respectively.

MAIN RESULTS AND THE ROLE OF CHANCE

Of the 16 521 couples analyzed, 10 834 (65.6%) and 746 (4.5%) couples achieved pregnancy within the first 6 months and between the 6th and 12th months, respectively. The median (P25, P75) TTP was 3.0 (2.0, 6.0) months. The infertility rate was 13.01%. After adjusting for potential confounders, in the individual-specific analyses, we found that preconception depression in women was significantly related to reduced odds of fertility (FOR = 0.947, 95% CI: 0.908-0.988), and preconception depression in either men or women was associated with an increased risk of infertility (women: RR = 1.212, 95% CI: 1.076-1.366; men: RR = 1.214, 95% CI: 1.068-1.381); in the couple-based analyses, we found that-compared to couples where neither partner had depression-the couples where both partners had depression exhibited reduced fertility (adjusted FOR = 0.904, 95% CI: 0.838-0.975). The risk of infertility in the group where only the woman had depression and both partners had depression increased by 17.8% (RR = 1.178, 95% CI: 1.026-1.353) and 46.9% (RR = 1.469, 95% CI: 1.203-1.793), respectively.

LIMITATIONS REASONS FOR CAUTION

Reporting and recall bias were unavoidable in this large epidemiological study. Some residual confounding factors-such as the use of anti-depressants and other medications, sexual habits, and prior depressive and anxiety symptoms-remain unaddressed. We used a cut-off score of 5 to define depression, which is lower than prior studies. Finally, we assessed depression only at baseline, therefore we could not detect effects of temporal changes in depression on fertility.

WIDER IMPLICATIONS OF THE FINDINGS

This couple-based study indicated that preconception depression in individuals and couples negatively impacts couples' fertility. Early detection and intervention of depression to improve fertility should focus on both sexes.

STUDY FUNDING/COMPETING INTERESTS

This work was supported by grants from the National Natural Science Foundation of China (No. 82273638) and the National Key Research and Development Program of China (No. 2018YFC1004201). All authors declare no conflicts of interest.

TRIAL REGISTRATION NUMBER

N/A.

Quantification of diet quality utilizing the rapid eating assessment for participants-shortened version in bipolar disorder: Implications for prospective depression and cardiometabolic studies

OBJECTIVES

Recognizing bipolar disorder as a multi-system metabolic condition driven, in part, by binge eating behavior and atypical depressive symptoms, this study aimed to quantify diet quality and evaluate clinical correlates in a bipolar disorder cohort.

METHODS

Participants from the Mayo Clinic Bipolar Disorder Biobank (n = 734) completed the Rapid Eating Assessment for Participants - Shortened version (REAP-S) to determine diet quality. The average REAP-S score for a U.S. omnivorous diet is 32 (range 13 to 39) with higher scores indicating healthier diet. Demographic variables were collected in a standardized clinical questionnaire. Depressive symptoms were assessed by the Bipolar Inventory of Symptoms Scale. Cardiometabolic variables were retrieved from the electronic health record. Associations between continuous variables and REAP-S scores (total, 'healthy foods' and 'avoidance of unhealthy foods') were assessed using linear regression.

RESULTS

Overall, our sample had a mean REAP-S score of 27.6 (4.9), suggestive of a lower diet quality than the average general population in the US. There was a significant inverse relationship between mean REAP-S lower scores with increased BMI, waist circumference, disordered eating and depression. All these associations were significantly stronger in female participants.

LIMITATIONS

EHR cross-sectional data.

CONCLUSIONS

Our data suggest unhealthy diet quality in bipolar disorder is associated with depression, obesity and cardiometabolic abnormalities. Additional work is encouraged to prospectively track mood and diet quality to further understand the bidirectional relationship and clarify if dietary interventions can positively impact mood. Further delineating potential sex differences in diet quality and depression may provide greater appreciation of modifiable risk factors for future cardiometabolic burden.

Odds of fussy eating are greater among children with obesity and anxiety

BACKGROUND

Fussy eating has been associated with autism spectrum disorder (ASD), attention-deficit/hyperactive disorder (ADHD), anxiety, and depression. Despite these disorders being prevalent in obesity treatment, no studies have been published on the association of fussy eating in children with obesity and these disorders. Understanding fussy eating in children with obesity and comorbid disorders is important as acceptance of healthy foods tends to be low, especially in children with sensory sensitivities.

OBJECTIVES

Investigate the prevalence of fussy eating in a cross-sectional sample of children with obesity and ASD, ADHD, anxiety, and depression; and whether they were more likely to be fussy eaters, comparing those with and without these disorders.

METHODS

One hundred and four children referred to family-based obesity treatment in Iceland 2011-2016, mean age 12.0 (SD = 3.0), mean body mass index standard deviation score 3.5 (SD = 0.9). Binary logistic regression was used to estimate the relationship between fussy eating and disorders, adjusting for medication use.

RESULTS

A large minority (41.6%) were fussy eaters and 48.9% had at least one comorbid disorder. Over a third of children rejected bitter and sour tastes, and 1.9% and 7.9% rejected sweet and salty tastes, respectively. Compared with those without disorders, the odds of being a fussy eater were increased by a factor of 4.11 when having anxiety (95% confidence intervals) (1.02-16.58, p = 00.046), adjusting for medication use. The odds of being a fussy eater were not increased for other disorders; ASD, ADHD, or depression.

CONCLUSIONS

In children attending obesity treatment, fussy eating was common. Clinical care models in pediatric obesity treatment should address fussy eating, especially in children with anxiety.

Food intake reporting bias among adolescents with depression

There is a growing body of research supporting adjunctive dietary interventions to improve depressive symptoms. Quantifying the level of dietary intake reporting accuracy is important when assessing dietary intervention efficacy. The current study assesses dietary intake reporting accuracy among children and adolescents clinically diagnosed with depression. Forty-six participants (87.0% female) with clinically diagnosed depression were included in this analysis with a mean age of 15.04 ± 1.52 years. The reporting accuracy of energy intake was determined using a single dietary recall and the McCrory equations. Thirty (64.8%) participants were categorized as plausible reporters, 16 (35.2%) as under-reporters and none were over-reporters. Mean energy estimates were misreported by -1192.618 ± 817.87 kcal and were proportional to caloric intake. The only covariate significantly associated with misreporting was obesity/overweight. Misreporting was not associated with depressive symptom burden. Depressive symptomology was not associated with under-reporting, indicating that adolescents with clinically diagnosed depression are able to report dietary intake at accuracy levels comparable to adolescents in community samples.