Association of composite dietary antioxidant index with depression and all-cause mortality in middle-aged and elderly population.

Current research has shown an increasing acceptance of interventions for depression through dietary modifications. However, whether composite dietary antioxidant index (CDAI) is associated with depression and all-cause mortality in middle-aged and elderly population remains unknown. This study aimed to explore those associations in American middle-aged and elderly population. Weighted logistic regression models and weighted Cox proportional hazard regression models were used to assess the association of CDAI, covariates, depression, and all-cause mortality, respectively. The stability of the results was also determined by a linear trend test based on CDAI quintiles. Restricted cubic spline curves were employed to test for non-linear relationships. In the model adjusted for all covariates, significant associations were found with the ORs (95% CI) for CDAI and depression [0.77 (0.67, 0.89)] and the HRs (95% CI) for CDAI with all-cause mortality[0.91 (0.83, 1.00)]. Upon conducting restricted cubic spline curves, we found that the association between CDAI and depression was linear, whereas the association between CDAI and all-cause mortality was non-linear with an inflection point of -0.19. Statistical significance was only found before the inflection point. In this study of middle-aged and elderly Americans, CDAI was linearly negatively associated with depression and non-linearly negatively associated with all-cause mortality.

Age and sex differences in the association between Dietary Inflammatory Index and severe headache or migraine: a nationwide cross-sectional study.

BACKGROUND: Migraine and severe headaches are extremely prevalent neurological disorders that plague humans and society. Prior research has revealed that DII may affect the occurrence of migraines, but there are too few relevant studies and more are required. This study aimed to determine the association between severe headache or migraine and the Dietary Inflammatory Index (DII), with particular attention to age and gender differences. METHODS: Using data from the National Health and Nutrition Examination Survey (NHANES), we performed a cross-sectional study. In addition, we investigated the association between DII and severe headache or migraine using weighted multivariate logistic regression models, and restricted cubic splines models were plotted to explore their linear correlation. RESULTS: There were a total of 13,439 people participating in the study, and of those, 2745 experienced a severe headache or migraine within the previous three months. The DII was linearly and positively correlated with severe headache or migraine (odds ratio [OR] = 1.05, 95% confidence interval [CI] = 1.01-1.08, p = 0.0051). Stratified analysis showed that this relationship persisted among women and those aged < 60 years, with ORs of 1.08 (95% CI = 1.04-1.13, p = 0.0004) and 1.05 (95% CI = 1.01-1.09, p = 0.0071), respectively. CONCLUSIONS: We found that greater levels of DII were significantly related to an increased likelihood of migraine onset, especially among women and young and middle-aged populations. Further research is required to validate and expand upon our results.

Association Between Copper Intake and Migraine: a National Cross-sectional Study.

Migraine is a common clinical neurological disorder that adversely affects humans and society. The relationship between copper intake and migraine has been less studied and controversial. The purpose of this study was to determine the relationship between copper intake and migraine and to guide dietary interventions. The data for this study were obtained from the National Health and Nutrition Examination Survey (NHANES) database from 1999 to 2004, involving a total of 12,724 participants. The relationship between copper intake and migraine was examined using weighted multivariate logistic regression models, and smooth-fit curves were plotted to explore the relationship. After non-linear relationships were found, recursive algorithms and two-stage linear regression models were used to calculate inflection points. Stratified analyses were also performed to explore population differences. In the model corrected for all covariates, the OR (95% CI) of copper intake with migraine was 1.19 (0.97, 1.46), which was not statistically significant. However, the results of the linear trend test suggested that their relationship might be non-linear. Smooth-fit curves confirmed the non-linear relationship between copper intake and migraine, and an inflection point (0.98 mg/day) was identified. There was no statistical significance before the inflection point, but after the inflection point, copper intake was positively associated with migraine attacks. Stratified analyses showed that this non-linear relationship persisted in females, people under 45 years old, and people with BMI less than 30. In this large cross-sectional study, we found a non-linear correlation between copper intake and migraine.

Relationship between composite dietary antioxidant index and depression among overweight and obese adults.

BACKGROUND: The use of specific dietary patterns to alleviate depressive symptoms has gained increasing recognition. The Composite Dietary Antioxidant Index (CDAI) is a crucial criterion for assessing antioxidant diets. We examined the relationship between CDAI and depression among overweight and obese adults through a cross-sectional study conducted in the United States. METHODS: We used weighted multivariate logistic regression models with subgroup analysis to study the relationship between CDAI and depression. Generalized additive models were used to determine whether there was a nonlinear association between them. We developed a two-piece linear regression model to calculate the inflection point utilizing a recursive strategy. RESULTS: After adjusting for confounding variables, the odds ratios (ORs; 95 % CI) for the correlation between CDAI and depression were 0.75 (0.67, 0.84). A saturation effect emerged for the overweight group, following which we calculated the inflection point for the overweight population, which displayed ORs (95 % CI) of 0.62 (0.47, 0.80) before the inflection point of 0.83 and the ORs (95 % CI) of 1.01 (0.77, 1.31) after 0.83. The interaction was statistically significant in the sex stratification of the obese population. CONCLUSIONS: Our study highlighted a negative association between CDAI and depression among overweight and obese adults. Saturation effects and sex differences were observed in the overweight population.

Nonlinear relationship between sleep midpoint and depression symptoms: a cross-sectional study of US adults.

BACKGROUND: Despite the close relationship between sleep-wake cycles and depression symptoms, the relationship between sleep midpoint and depression symptoms in adults remains understudied. METHODS: In this cross-sectional study, 18280 adults aged ≥ 18 years from the National Health and Nutrition Examination Survey (NHANES) 2015-2020 were analyzed. Covariates included age, sex, race/ethnicity, education level, marital status, family income, body mass index, smoking status, drinking status, physical activity, comorbid condition, sleep duration, and sleep disturbance were adjusted in multivariate regression models. RESULTS: Weighted restricted cubic spline based on the complex sampling design of NHANES showed that in participants with a sleep midpoint from 2:18 AM to 6:30 AM, the prevalence of depression symptoms increased by 0.2 times (adjusted odds ratio [OR] = 1.20, 95% confidence interval [CI]: 1.08-1.33) per 1-h increment in sleep midpoint compared to the reference point of 2:18 AM. For participants with a sleep midpoint after 6:30 AM and before 2:18 AM the next day, the relationship between sleep midpoint and depression symptoms was not significant after adjusting for all covariates (adjusted OR = 1.01, 95% CI: 0.99-1.03). CONCLUSIONS: The findings indicate a significant nonlinear association between sleep midpoint and depression symptoms in a nationally representative sample of adults.

Association between selenium intake and migraine: a nationwide cross-sectional study.

Background: Dietary interventions for migraine are receiving increasing attention. However, it remains unclear whether there is any relationship between migraine and selenium intake. The aim of this study was to investigate the association between selenium intake and migraine. Methods: We used multivariate logistic regression equations to explore the association between selenium intake and migraine. Restricted cubic splines were used to examine the presence of non-linear relationships. Upon finding a non-linear relationship, a recursive algorithm was used to calculate the inflection point. Population differences were also explored through stratified analysis. Results: In the model adjusted for all covariates, the ORs (95% CI) for the association between selenium intake and migraine were 0.96 (0.88, 1.04), which was no statistical significance. However, the result of the linear trend test with quadrilles of selenium intake indicated the association between selenium intake and migraine may be non-linear. The restricted cubic splines confirmed this non-linear relationship, finding an inflection point (93.1 mcg/day), where the odds of migraine decreased with increasing selenium intake before the inflection point, and no statistically significant relationship was found after the inflection point. The association between selenium intake and migraine was non-linear in all strata except the obese. Conclusion: We found a non-linear association between selenium intake and migraine in the general American population.

Does the timing of intake matter? Association between caffeine intake and depression: Evidence from the National Health and Nutrition Examination Survey.

BACKGROUND: Recent research suggests that caffeine intake is associated with a reduced risk of depression. However, the relationship between caffeine intake during different periods of the day and depression is still unclear. METHODS: This cross-sectional study analyzed noninstitutionalized adults from the National Health and Nutrition Examination Survey, with a weighted representation of approximately 218 million US adults. Covariate-adjusted sample-weighted regressions were used to examine associations between caffeine intake and depression in different periods. RESULTS: Caffeine intake during non-early morning periods (outside of 5:00-8:00 AM) is associated with a high prevalence of depression (unadjusted OR: 1.08, 95%CI: 1.05-1.11; adjusted OR: 1.03, 95 % CI: 1.00-1.06). Participants who consumed caffeine in the early morning (5:00-8:00 AM) had a lower prevalence of depression compared to participants who did not consume caffeine in the early morning (unadjusted OR: 0.75, 95%CI: 0.67-0.85; adjusted OR: 0.86, 95 % CI: 0.75-0.99). LIMITATIONS: Cross-sectional study could not determine the temporal association; patients with depression in this study were not clinically diagnosed with Major Depressive Disorder. CONCLUSIONS: Among US adults, early morning caffeine consumers had a lower prevalence of depression than non-consumers; caffeine intake during non-early morning periods is associated with a high prevalence of depression. Our results may suggest the importance of caffeine intake time for depression.

Association between niacin intake and depression: A nationwide cross-sectional study.

BACKGROUND: The association between dietary intake and depression is receiving increasing attention. However, the relationship between depressive symptoms and niacin intake is still unclear. The purpose of this study was to explore the association between niacin intake and depressive symptoms. METHODS: We used univariate analysis and multivariate logistic regression equations to explore the association between covariates or niacin intake and depression. Generalized additive models and smoothing fitted curves were used to examine the presence of nonlinear relationships. Upon finding a nonlinear relationship, a recursive algorithm was used to calculate the inflection point . Population differences were also explored through stratified analysis. RESULTS: In the model adjusted for all covariates，the ORs (95 % CI) for the association between niacin intake and depression were 0.94 (0.87, 1.01), which was no statistical significance. However, the result of the linear trend test with quartiles of niacin intake indicated the association between niacin intake and depression may be U-shaped. The generalized additive model confirmed this U-shaped relationship, finding an inflection point (26.6 mg/d). An opposite relationship was observed before and after the inflection point, with ORs (95 % CI) of 0.77 (0.68, 0.87) before the inflection point and 1.13 (1.01, 1.28) after the inflection point. The association in men, Mexican American, White, adults aged<40, and BMI <30 was consistent with the overall tendency. CONCLUSION: We found a U-shaped association between niacin intake and depression in the general American population, and the same association was observed in men, Mexican American, White, adults aged < 40, and BMI < 30.

A J-shaped association between Dietary Inflammatory Index (DII) and depression: A cross-sectional study from NHANES 2007-2018.

BACKGROUND: Growing evidence indicates that depression is more common in people who partake in a pro-inflammatory diet. The objective of our study was to assess the association between the Dietary Inflammatory Index (DII) and depression through a cross-sectional study of the National Health and Nutrition Examination Survey from 2007 to 2018. METHODS: We used weighted multivariable logistic regression models with subgroup analysis to explore the relationship between DII and depression. Generalized additive models were used to test whether there was a nonlinear association. Then, we constructed a two-piece linear regression model and performed a recursive algorithm to calculate the inflection point. RESULTS: The study enrolled a total of 30,627 individuals from the United States. In the regression model with full confounding variables adjusted, the OR (95 % CI) for the association between DII and depression was 1.05 (1.04, 1.06). A J-shaped association was found between DII and depression, with a turning point of 2.74. After the turning point, the OR (95 % CI) was 1.60 (1.51, 1.69). Only the interaction in the cardiovascular disease (CVD) analysis was statistically significant. CONCLUSION: Our study highlighted a J-shaped association between DII and depression in a nationally representative sample of adults from the United States.

Non-linear association between composite dietary antioxidant index and depression.

Background: Growing evidence has shown that the antioxidant diet is a protective factor against depression. However, the relationship between the Composite Dietary Antioxidant Index (CDAI), an important measure of antioxidant diet, and depression has received little attention. Therefore, we investigated the relationship between CDAI and depression through a cross-sectional analysis of the National Health and Nutrition Examination Survey (NHANES) from 2007 to 2018. Methods: The association between CDAI and depression was investigated using a weighted multiple logistic regression model with subgroup analysis. Non-linear correlations were explored using fitted smoothing curves. And we used a recursive method to figure out the turning point and build a weighted two-piece linear regression model. Results: In the multivariate logistic regression model with full adjustment for confounding variables, the ORs (95% CI) for the association between CDAI and depression were 0.83 (0.78, 0.88). Moreover, a non-linear association was found, with 0.16 being the inflection point. Before the inflection point, each unit increase in CDAI was associated with a 30% decrease in the risk of depression. After the inflection point, the risk of depression was found to be reduced by 11% for each unit increase. None of the interactions in all subgroup analyses were statistically significant. Conclusions: Our study highlighted a negative non-linear association between CDAI and depression in a nationally representative sample of US adults. Further clinical and basic research is needed to explore their association better.