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Dietary niacin intake in relation to depression among adults: a population-based study

Abstract

Background

Previous studies have shown that an antioxidant diet is a protective factor against depression. However, the association between niacin, an important antioxidant consumed from the diet, and depression has received little attention. Therefore, we explored the association between niacin intake and depression through a cross-sectional analysis of the National Health and Nutrition Examination Survey (NHANES) from 2007 to 2016.

Methods

Depression was measured using the Patient Health Questionnaire (PHQ-9, score ≥ 10). Niacin intake was assessed through 24-h dietary recall interviews. The relationship of niacin intake with depression among adults in US was assessed by using a weighted multiple logistic regression model with subgroup analysis. Non-linear associations were explored using restricted cubic spline models. And we used a two-piece-wise logistic regression model with smoothing to explore the threshold for association between them.

Results

A total of 16,098 adults were included in this study. Compared with individuals with lowest niacin intake Q1 (≤ 15.96 mg/day), the adjusted OR values for dietary niacin intake and depression in Q2 (15.97–22.86 mg/day), Q3 (22.87–32.28 mg/day) and Q4 (≥ 32.29 mg/day), were 0.92 (95% CI: 0.70–1.20), 0.76 (95% CI: 0.56–0.99,) and 0.68 (95% CI: 0.48–0.98), respectively. The results were not modified by sex, by age and by BMI. Furthermore, the relationship between dietary niacin intake and depression exhibited a U-shaped curve (nonlinear, p < 0.001). And depression risk was lowest when dietary consumption of niacin was around 36 mg/day.

Conclusions

In present study, moderate niacin intake, but not high intake, was associated with lower odds of depression suggesting a U-shaped association.

Peer Review reports

Background

Depression is a common psychiatric disorder worldwide, which reported with an increase of 49.86% in the number of people suffering from depression between 1990 and 2017 [1]. People with depression have a significantly lower quality of life than healthy people, and depression is recognized as a major contributor to suicide and disability [2, 3]. However, depression continues to have a serious long-term impact on people’s health and quality of life due to a lack of effective treatments and inadequate mental health resources. A recent meta-analysis suggested that depression was associated with nutrients [4], which may alleviate depressive symptoms or reduce the prevalence of depression [5, 6]. Therefore, it is crucial to explore other potential dietary nutrients associated with depression, which may aid in preventing or treating depression.

Niacin (vitamin B3) is a nutritional precursor to nicotinamide adenine dinucleotide phosphate (NADP) and nicotinamide adenine dinucleotide (NAD), which are essential cofactors for mitochondrial energy metabolism [7]. Some studies have shown that B vitamins play a vital role in the development, maintenance and function of the brain, but severe deficiencies are associated with an increased prevalence of mental disorders [8, 9]. Also, deficiency of niacin, one of the B vitamins group may reduce oxidative phosphorylation and impair mitochondrial respiration [10]. Previous research indicated that the trinity of brain energy deficit, mitochondrial dysfunction and oxidative stress might exert a role in the development of depression [11, 12]. However, there are rare studies examining the association between dietary niacin intake and depression in the general population.

Therefore, the relationship between dietary niacin intake and depression in adults was assessed with data from the NHANES to refine this study in the general population. Based on the nutritional patterns found in this population, we hypothesized that there was negative correlation between dietary consumption of niacin and depression. We also conducted subgroup analyses to assess possible effect modification of the association between dietary niacin intake and depression. Furthermore, the dose–response correlation between dietary niacin intake and depression was also described.

Materials and methods

Study population

This cross-sectional study analyzed data from the NHANES 2007–2016, performed by the Centers for Disease Control and Prevention. The NHANES is a series of cross-sectional, stratified, multi-stage probability surveys for the representative non-institutionalized US civilians to evaluate the health and nutritional status of children and adults. NHANES collects a variety of health-related data, including demographics, diet, physical examination, and laboratory tests. All NHANES study protocols were approved by the ethical review committee of the National Centre for Health Statistics. Also, NHANES obtained the written informed consent of all participants. Methodological details and survey design of the NHANES are publicly available at https://www.cdc.gov/nchs/nhanes/index.htm.

To ensure a high degree of consistency across survey variables and to ensure adequate study power, we combined data from NHANES 2007–2016 into our analyses, which obtained 50,588 participants, and we restricted our analyses to adults aged 20 years and older. Pregnant women and participants who lacked data on depression, dietary niacin intake, covariates, or weight were excluded (Fig. 1).

Fig. 1
figure 1

Inclusion and exclusion flow chart

Depression classification

In NHANES, the DSM-V-based nine-item Patient Health Questionnaire (PHQ-9) was used to assess depression, a reliable and valid diagnostic tool for examining depression in clinical work and related research settings [13, 14]. DSM-IV based symptom criteria for the nine-item instrument “not at all,“ “several days,“ “more than half the days,“ and “nearly every day” were given a score from 0 to 3, respectively. The scores of each participant were summed to obtain a total score ranging from 0 to 27. Consistent with previous studies, this study defined depression as a PHQ-9 total score ≥ 10, a threshold that has been clinically verified with a sensitivity of 88% and specificity of 88% and was commonly used to define depression in clinical and epidemiological studies [15,16,17].

Dietary niacin assessment

Data on dietary niacin intake were collected through 24-hour recall survey. The survey is a retrospective dietary assessment method that provided detailed information on all dietary and beverage consumption in 24-hour period. For each individual, the intake of nutrients from each food or beverage, including niacin intake, were calculated via the US Department of Agriculture’s Food and Nutrient Database for Dietary Studies [18]. Detailed dietary interview methods can be found in the NHANES dietary interview procedure manual [19]. In keeping with previous literature, we used the dietary day-one sample weight for weighting, so the first 24-hour dietary data was included in this study for analysis [20,21,22].

Potential covariates

Various potential covariates were included based on the published literature [23,24,25,26]. The present study included the following demographic covariates: age (20–44, 45–59, or ≥ 60 years), sex, race, education level (< high school, high school, >high school), marital status (married, living alone, never married) and family income. The poverty income ratio (PIR) divided family income into three categories: low (PIR ≤ 1.3), medium (PIR > 1.3 ~ 3.5) and high (PIR > 3.5). Data on total energy intake were obtained from 24-hour dietary recall. Body mass index (BMI) was categorized as less than 25, 25 to 30, and more than 30 kg/m2. According to previous descriptions in the literature, drinking status was classified as never, current and former. And smoking status was categorized as “never” (lifetime < 100 cigarettes), “former” (previous history of smoking but no longer smoking at the time of the interview), or “now” (lifetime cigarette use). Physical activity (PA) can be calculated based on the metabolic equivalent (MET) value, activity type, weekly frequency, and duration [27]. We calculated the value of PA according to the following formula: PA (MET-h/wk) = MET × weekly frequency × duration of each physical activity. PA was divided into three categories: no (MET ≤ 1), low (MET > 1 ~ 48), high (MET ≥ 48). History of hypertension or diabetes was evaluated as self-reported physician diagnosis of hypertension or diabetes.

Statistical analysis

In accordance with the requirements of the National Centre for Health Statistics, we weighted the data in our analysis. In this study, we combined five 2-year survey cycles of the consecutive NHANES (2007–2016). A specific 10-year dietary weight was created by taking one-fifth of the 2-year dietary weights according to the analytical guidelines available on the NHANES website [28]. Continuous variables were reported by sample-weighted means (standard error, SE), while categorical variables were described as sample-weighted percentages and frequencies. To compare the differences between depression group and no depression group, t-tests (continuous variables) and Chi square tests (categorical variables) were performed. Multiple logistic regression models were used to estimate odd ratios (ORs) with 95% confidence intervals (CIs) of depression at different quartile of dietary niacin. Model 1 was adjusted for total energy intake. Model 2 was additionally adjusted for age and sex. Model 3 was adjusted for age, sex, race, marital status, education, family income, smoking, drinking, physical activity, BMI, hypertension, diabetes, energy, n-3 fatty acids, n-6 fatty acids, folate and zinc.

. We also conducted subgroup analyses to explore whether there were other confounding factors that might influence the association between niacin intake and depression. To assess the robustness of the results of our analysis, we excluded participants with extreme energy intake (consuming < 500 or > 5000 kcal per day) for the sensitivity analysis. Furthermore, restricted cubic spline (RCS) regression was used to investigate the nonlinear relationship between dietary niacin intake and depression. After adjusting for all potential confounding variables, we used a two-piece-wise logistic regression model with smoothing to explore the threshold for the association between dietary niacin intake and depression. Inflection points were identified by using likelihood-ratio test and the bootstrap resampling method. All statistical analysis was conducted by using R software (version 4.2.1). Two-sided p values < 0.05 was considered statistically significant difference.

Results

Baseline characteristic

The basic characteristics of the included and excluded individuals are exhibited in the Additional file 1 (Table S1). The baseline characteristics of the 16,098 included individuals are described in Table 1. A total of 1244 individuals with depression, while 14,854 individuals without depression. Compared to the group of participants without depression, those with depression were more likely to be younger, had a higher prevalence of female and tended to be hypertensive, diabetic, living alone. Participants with depression had significantly lower education level, lower family income, lower energy intakes, lower physical activity, were current smokers, were more likely to be former drinkers, had a higher BMI. The daily niacin, n-3 fatty acids, n-6 fatty acids, folate and zinc intake in participants with depression were significantly lower than those without depression. In addition, as shown in the Additional file 2, niacin intake is high, intake of these nutrients (n-3 fatty acids, n-6 fatty acids, folate and zinc) is also high (Table S2).

Table 1 Baseline characteristics of study population

Relationship between dietary niacin intake and depression

After adjustment for all potential covariates, relationship between dietary niacin intake and depression are illustrated in Table 2. Compared to participants in the lowest quartile (Q1) of dietary niacin intake (≤ 15.96 mg/day), the adjusted ORs for depression in Q2 (15.97–22.86 mg/day), Q3 (22.87–32.28 mg/day), and Q4 (≥ 32.29 mg/day) were 0.92 (95% CI: 0.70–1.20, p = 0.51), 0.76 (95% CI: 0.56–0.99, p = 0.04), and 0.68 (95% CI: 0.48–0.98, p = 0.03), respectively. Further excluding individuals with extreme energy intake, 15,757 individuals remained, and the relationship between dietary niacin intake and depression remained stable (Table 3). Compared with participants with lowest niacin intake Q1 (≤ 15.97 mg/day), the adjusted OR values for dietary niacin intake and depression in Q2 (15.98–22.70 mg/day), Q3 (22.71–31.86 mg/day),and Q4 (≥ 31.87 mg/day) were 0.90 (95% CI: 0.69–1.19, p = 0.48), 0.77 (95% CI: 0.56–1.04, p = 0.09), and 0.65 (95% CI: 0.44–0.97, p = 0.04), respectively.

Table 2 Association between dietary niacin intake and depression
Table 3 Association between dietary niacin intake and depression in participants with extreme energy intake was not included

Subgroup analysis were performed in several subgroups to evaluate the possible effect modifications of the association between dietary niacin intake and depression (Fig. 2). There were no significant multiplicative interactions (effect modification) for any of these subgroup characteristics in the relationship between niacin intake and depression. Although the negative correlation between dietary niacin consumption and depression seemed to be stronger among female and among participants with 20–59 years old, BMI ≥ 25 kg/m2, the interactions were not statistically significant (p for interaction = 0.20, 0.7 and 0.20, respectively).

Fig. 2
figure 2

Effect of niacin intake on depression in different subgroup. Except the stratification variables themselves, each stratification factor was adjusted for all other variables (age, sex, race, marital status, education, family income, smoking, drinking, physical activity, BMI, hypertension, diabetes, energy, n-3 fatty acids, n-6 fatty acids, folate and zinc)

In the Fig. 3, the restricted cubic spline showed that a U-shaped correlation between dietary niacin intake and depression (P < 0.001). When niacin intake ≤ 36 mg/day, increased niacin intake was related to a significantly lower risk of depression. When niacin intake > 36 mg/day, the risk of depression elevated with an increase in niacin intake. In the threshold analysis, the OR for depression was 0.98 (95% CI: 0.96–0.99, p = 0.005) in participants with a niacin intake of ≤ 36 mg/day (Table 4). It means that the risk of depression is decreased by 2% with every 1 mg increase in daily dietary niacin intake. There was positive relationship between niacin intake and depression when the daily niacin intake was > 36 mg/day (Table 4). It means that depression incidence rose with increasing dietary niacin intake. According to these analysis, 36 mg/day of niacin intake was observed to be the optimal consumption of niacin in relation to depression incidence.

Fig. 3
figure 3

Association between dietary niacin intake and depression odds ratio. The model was adjusted for age, sex, race, marital status, education, family income, smoking, drinking, physical activity, BMI, hypertension, diabetes, energy, n-3 fatty acids, n-6 fatty acids, folate and zinc

Table 4 Threshold effect analysis of the association of niacin intake with depression

Discussion

In this nationally representative cross-sectional study, we found a negative relationship between dietary niacin intake and depression. The sensitivity analyses indicated a robust relationship between dietary niacin intake and depression in American adults. The results were not modified by sex, by age and by BMI. And the relationship between dietary niacin intake and depression exhibited a U-shaped curve (nonlinear, p < 0.001). Moreover, the dietary consumption of niacin to minimize the risk of depression was around 36 mg/day.

Although existing study on the correlation is still rare, the use of niacin to intervene in the clinical treatment of depression has long been a hot topic of study. Back in the 1950s, niacin was used to treat schizophrenia manic depression, benign depression and tension anxiety conditions, and both depressive and anxiety reactions were alleviated with niacin supplementation [29]. A recent study showed that aqueous niacin skin flushing treatment significantly improved depression, anxiety and somatic symptoms in 30 patients with recurrent monophasic depression [30]. It is noteworthy that all of the researches above are case reports or case series, and no additional study has been undertaken to explore the relationship between dietary niacin intake and depression in the general population. The NHANES affords us the unique chance to evaluate whether there is a relationship between dietary niacin intake and depression. which will provide a basis for further determination of the efficacy of niacin in depression.

The association between dietary niacin intake and depression was U-shaped. depression risk was lowest when dietary intake of niacin was around 36 mg/day. Several possible explanations may contribute to a better understanding of this non-linear relationship between dietary niacin consumption and depression. One of the more plausible explanations is the intake of other nutrients that could counteract the effect of dietary niacin intake on depression. The American diet is characterized by a richness in animal protein, refined carbohydrates, and an elevated proportion of n-6 and n-3 polyunsaturated fatty acids (PUFAs) [31]. In fact, n-6 PUFA intake gradually increased with the increment in animal protein (such as fish) consumption. Also, a previous study showed that n-6: n-3 ratio was positively associated with the prevalence of depression [32]. Another alternative explanation for this result is the existence of a threshold effect, whereby once the threshold is achieved, the negative relationship with subsequent higher niacin intake tends to change. Finally, we cannot rule out the possibility of reverse causality. Some participants with depressive symptoms (and possibly subclinical depression) may increase their niacin intake to improve their symptoms.

In the present study, it is worth noting that the negative correlation between dietary niacin intake and depression seemed to be stronger among female and among participants with 20–59 years old, BMI ≥ 25 kg/m2. Dietary intake is an important source of nutrients for the body, which is absorbed by the body in the small intestine. foods rich in niacin included fish, meat, milk, peanuts, and enriched flour products [7]. The body consumes these foods along with an increased intake of other nutrients, such as folate [33]. And our findings also showed that niacin intake is high, intake of folate is also high. Women, especially those of childbearing age, are becoming more aware of folate supplementation and are actively taking appropriate amounts of folate before and during pregnancy, and dietary folate intake is the preferred method of supplementation [34,35,36]. Thus, dietary intake of folate in women may enhance the effect of dietary niacin intake on depression. It is now mostly believed that the gastrointestinal tract is less functional in the elderly than in younger people [37]. As a result, older adults may have a reduced intake of dietary niacin. Therefore, niacin absorption may be high in individuals aged 20–59 years and in women, which may be the reason why dietary niacin was associated with depression only in individuals aged 20–59 years and in women. Current research suggests that the association between being underweight or overweight and depression is controversial [38]. Future studies are required to validate these results. In sum, the negative association between niacin intake and depression among individuals with female, 20–59 years old and BMI ≥ 25 kg/m2 was important for proposing individualized strategies to prevent depression in adults. Thus, we recommend that those adults should consume an appropriate amount of niacin rich foods.

Although the underlying mechanism of the negative relationship between niacin intake and depression is still to be explored, our results are biologically plausible based on the available evidence. Several studies have indicated that patients with depression have higher levels of oxidative stress and inflammation, as well as a relatively low intake of dietary antioxidants [39, 40]. For individuals with depression, it is important to have a food source of antioxidants. Niacin decreases oxidative stress in endothelial cells by raising NADP level, reducing glutathione and suppressing the production of reactive oxygen species [41]. Niacin, when consumed in moderation, increases serum 5-Hydroxytryptamine levels, improves brain energy deficits and has powerful antioxidant properties, which may be a biological mechanism for increasing niacin intake to prevent depression. Furthermore, niacin may influence the conversion of macrophages from M1 (pro-inflammatory) to M2 (anti-inflammatory) via the niacin receptor GPR109A, promoting an anti-inflammatory process and thereby inhibiting the inflammatory response [42]. Niacin also reduces the secretion of pro-inflammatory mediators, such as TNF-α, IL-6 and MCP-1, thereby decreasing the body’s inflammatory response [43]. However, more prospective studies are needed to verify the preventive effects of niacin on depression.

There are some limitations that must be considered in present study. First of all, dietary information was obtained from one-time recall surveys, which may not accurately reflect an individual’s usual diet and the total amount of niacin in the body. However, some studies have shown that 24-hour recalls of daily dietary intake may be sufficient for evaluation [44, 45]. Secondly, since the study was conducted on US adults and did not include special groups such as minors, we cannot analyze special populations or other ethnicities due to the limited sample size. Therefore, further researches are necessary to verify the generalizability of these results. Third, the effect of nonrandom missing data on the results are unable to be excluded due to differences in baseline between included and excluded individuals. Furthermore, we cannot eliminate the possibility that the observed relationships are due to unmeasured and unincluded confounders, although we have adjusted for various confounding variables. Finally, our study was a cross-sectional study, which meant that causal inferences cannot be made. Therefore, we need to perform the large cohort study to obtain further accurate evidence. This study presented several advantages. First, this study provided epidemiological evidence of the significant association between dietary niacin intake on depression in a representative general population across the United States. Second, with the adjustments for potential confounding factors, our conclusions are more realistic. And, stratified analyses were performed in several subgroups to identify any existing differences. Furthermore, we evaluated the dose-response effect of dietary niacin on depression and provided practical recommendations. Third, studies on the negative association between niacin intake on depression are relatively rare. This study indicated that moderate dietary niacin intake may help prevent depression.

Conclusion

In present study, we found that moderate intake of niacin (U-shaped relationship) may protect against depression. Moreover, depression risk was lowest when dietary consumption of niacin was around 36 mg/day.

Data Availability

This study analyses publicly available data. The raw data can be found in the repository here: https://www.cdc.gov/nchs/nhanes/index.htm.

References

  1. Liu Q, He H, Yang J, Feng X, Zhao F, Lyu J. Changes in the global burden of depression from 1990 to 2017: findings from the Global Burden of Disease study. J Psychiatr Res. 2020. https://doi.org/10.1016/j.jpsychires.2019.08.002

    Article  PubMed  PubMed Central  Google Scholar 

  2. Katon WJ. Clinical and health services relationships between major depression, depressive symptoms, and general medical illness. Biol Psychiatry. 2003. https://doi.org/10.1016/s0006-3223(03)00273-7

    Article  PubMed  Google Scholar 

  3. Olgiati P, Bajo E, Bigelli M, De Ronchi D, Serretti A. Should pharmacogenetics be incorporated in major depression treatment? Economic evaluation in high- and middle-income european countries. Prog Neuropsychopharmacol Biol Psychiatry. 2012. https://doi.org/10.1016/j.pnpbp.2011.08.013

    Article  PubMed  Google Scholar 

  4. Li Z, Li B, Song X, Zhang D. Dietary zinc and iron intake and risk of depression: a meta-analysis. Psychiatry Res. 2017. https://doi.org/10.1016/j.psychres.2017.02.006

    Article  PubMed  PubMed Central  Google Scholar 

  5. Ren M, Zhang H, Qi J, Hu A, Jiang Q, Hou Y, et al. An almond-based low Carbohydrate Diet improves Depression and Glycometabolism in patients with type 2 diabetes through modulating gut microbiota and GLP-1: a Randomized Controlled Trial. Nutrients. 2020. https://doi.org/10.3390/nu12103036

    Article  PubMed  PubMed Central  Google Scholar 

  6. Murakami K, Miyake Y, Sasaki S, Tanaka K, Arakawa M. Dietary folate, riboflavin, vitamin B-6, and vitamin B-12 and depressive symptoms in early adolescence: the Ryukyus Child Health Study. Psychosom Med. 2010. https://doi.org/10.1097/PSY.0b013e3181f02f15

    Article  PubMed  Google Scholar 

  7. Kirkland JB, Meyer-Ficca ML, Niacin. Adv Food Nutr Res. 2018. https://doi.org/10.1016/bs.afnr.2017.11.003

    Article  PubMed  Google Scholar 

  8. Mahdavifar B, Hosseinzadeh M, Salehi-Abargouei A, Mirzaei M, Vafa M. Dietary intake of B vitamins and their association with depression, anxiety, and stress symptoms: a cross-sectional, population-based survey. J Affect Disord. 2021. https://doi.org/10.1016/j.jad.2021.03.055

    Article  PubMed  Google Scholar 

  9. Mikkelsen K, Stojanovska L, Apostolopoulos V. The Effects of vitamin B in Depression. Curr Med Chem. 2016. https://doi.org/10.2174/0929867323666160920110810

    Article  PubMed  Google Scholar 

  10. Pirinen E, Auranen M, Khan NA, Brilhante V, Urho N, Pessia A, et al. Niacin cures systemic NAD (+) Deficiency and improves muscle performance in adult-onset mitochondrial myopathy. Cell Metab. 2020. https://doi.org/10.1016/j.cmet.2020.04.008

    Article  PubMed  Google Scholar 

  11. Kolar D, Kleteckova L, Brozka H, Vales K. Mini-review: brain energy metabolism and its role in animal models of depression, bipolar disorder, schizophrenia and autism. Neurosci Lett. 2021. https://doi.org/10.1016/j.neulet.2021.136003

    Article  PubMed  Google Scholar 

  12. Maes M, Yirmyia R, Noraberg J, Brene S, Hibbeln J, Perini G, et al. The inflammatory & neurodegenerative (I&ND) hypothesis of depression: leads for future research and new drug developments in depression. Metab Brain Dis. 2009. https://doi.org/10.1007/s11011-008-9118-1

    Article  PubMed  Google Scholar 

  13. Kroenke K, Spitzer RL, Williams JB, Löwe B. The Patient Health Questionnaire somatic, anxiety, and depressive Symptom Scales: a systematic review. Gen Hosp Psychiatry. 2010. https://doi.org/10.1016/j.genhosppsych.2010.03.006

    Article  PubMed  PubMed Central  Google Scholar 

  14. Spitzer RL, Kroenke K, Williams JB. Validation and utility of a self-report version of PRIME-MD: the PHQ primary care study. Primary care evaluation of Mental Disorders. Patient Health Questionnaire JAMA. 1999. https://doi.org/10.1001/jama.282.18.1737

    Article  PubMed  Google Scholar 

  15. Beydoun MA, Beydoun HA, Boueiz A, Shroff MR, Zonderman AB. Antioxidant status and its association with elevated depressive symptoms among US adults: National Health and Nutrition examination surveys 2005-6. Br J Nutr. 2013. https://doi.org/10.1017/S0007114512003467

    Article  PubMed  Google Scholar 

  16. Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001. https://doi.org/10.1046/j.1525-1497.2001.016009606.x

    Article  PubMed  PubMed Central  Google Scholar 

  17. Wang Y, Lopez JM, Bolge SC, Zhu VJ, Stang PE. Depression among people with type 2 diabetes mellitus, US National Health and Nutrition Examination Survey (NHANES), 2005–2012. BMC Psychiatry. 2016. https://doi.org/10.1186/s12888-016-0800-2

    Article  PubMed  PubMed Central  Google Scholar 

  18. Ba DM, Gao X, Al-Shaar L, Muscat JE, Chinchilli VM, Beelman RB, et al. Mushroom intake and depression: a population-based study using data from the US National Health and Nutrition Examination Survey (NHANES), 2005–2016. J Affect Disord. 2021. https://doi.org/10.1016/j.jad.2021.07.080

    Article  PubMed  Google Scholar 

  19. Centers for Disease Control and Prevention. Continuous NHANES Web Tutorial.2023. https://wwwn.cdc.gov/nchs/data/nhanes/2009_2010/manuals/mec_in_person_dietary_procedures_manual_mar_2010.pdf. Accessed 15 January 2023.

  20. Meng SH, Zhou HB, Li X, Wang MX, Kang LX, Fu JM, et al. Association between Dietary Iron Intake and serum ferritin and severe headache or migraine. Front Nutr. 2021. https://doi.org/10.3389/fnut.2021.685564

    Article  PubMed  PubMed Central  Google Scholar 

  21. Lin S, Shen Y. Dietary carotenoids intake and depressive symptoms in US adults, NHANES 2015–2016. J Affect Disord. 2021. https://doi.org/10.1016/j.jad.2020.12.098

    Article  PubMed  PubMed Central  Google Scholar 

  22. Liu H, Wang Q, Dong Z, Yu S. Dietary zinc intake and migraine in adults: a cross-sectional analysis of the National Health and Nutrition Examination Survey 1999–2004. Headache. 2023. https://doi.org/10.1111/head.14431

    Article  PubMed  Google Scholar 

  23. Li P, Yin F, Zhao Y, Liu Y, Zhang R, Wang J, et al. Total sugar intake is associated with higher prevalence of depressive symptoms in obese adults. Front Public Health. 2023. https://doi.org/10.3389/fpubh.2022.1069162

    Article  PubMed  PubMed Central  Google Scholar 

  24. Zhao L, Sun Y, Cao R, Wu X, Huang T, Peng W. Non-linear association between composite dietary antioxidant index and depression. Front Public Health. 2022. https://doi.org/10.3389/fpubh.2022.988727

    Article  PubMed  PubMed Central  Google Scholar 

  25. Sun C, Wang R, Li Z, Zhang D. Dietary magnesium intake and risk of depression. J Affect Disord. 2019. https://doi.org/10.1016/j.jad.2018.12.114

    Article  PubMed  Google Scholar 

  26. Ghimire S, Baral BK, Feng D, Sy FS, Rodriguez R. Is selenium intake associated with the presence of depressive symptoms among US adults? Findings from National Health and Nutrition Examination Survey (NHANES) 2011–2014. Nutrition. 2019. https://doi.org/10.1016/j.nut.2018.12.007

    Article  PubMed  Google Scholar 

  27. Tian X, Xue B, Wang B, Lei R, Shan X, Niu J, et al. Physical activity reduces the role of blood cadmium on depression: a cross-sectional analysis with NHANES data. Environ Pollut. 2022. https://doi.org/10.1016/j.envpol.2022.119211

    Article  PubMed  Google Scholar 

  28. Centers for Disease Control and Prevention. NHANES. 2023. https://wwwn.cdc.gov/nchs/nhanes/analyticguidelines.aspx. Accessed 15 January 2023.

  29. Thompson LJ, Proctor RC. Depressive and anxiety reactions treated with nicotinic acid and phenobarbital. N C Med J. 1953;14:420–6.

    PubMed  CAS  Google Scholar 

  30. Smesny S, Baur K, Rudolph N, Nenadic I, Sauer H. Alterations of niacin skin sensitivity in recurrent unipolar depressive disorder. J Affect Disord. 2010. https://doi.org/10.1016/j.jad.2009.12.017

    Article  PubMed  Google Scholar 

  31. Simopoulos AP. Evolutionary aspects of diet: the omega-6/omega-3 ratio and the brain. Mol Neurobiol. 2011. https://doi.org/10.1007/s12035-010-8162-0

    Article  PubMed  Google Scholar 

  32. Zhang R, Sun J, Li Y, Zhang D. Associations of n-3, n-6 fatty acids intakes and n-6:n-3 ratio with the risk of depressive symptoms: NHANES 2009–2016. Nutrients. 2020. https://doi.org/10.3390/nu12010240

    Article  PubMed  PubMed Central  Google Scholar 

  33. Liew SC. Folic acid and diseases - supplement it or not? Rev Assoc Med Bras (1992). 2016. https://doi.org/10.1590/1806-9282.62.01.90

    Article  PubMed  Google Scholar 

  34. van der Windt M, Schoenmakers S, van Rijn B, Galjaard S, Steegers-Theunissen R, van Rossem L. Epidemiology and (patho)physiology of folic acid supplement use in obese women before and during pregnancy. Nutrients. 2021. https://doi.org/10.3390/nu13020331

    Article  PubMed  PubMed Central  Google Scholar 

  35. McNulty H, Ward M, Hoey L, Hughes CF, Pentieva K. Addressing optimal folate and related B-vitamin status through the lifecycle: health impacts and challenges. Proc Nutr Soc. 2019. https://doi.org/10.1017/S0029665119000661

    Article  PubMed  Google Scholar 

  36. Berkins S, Schiöth HB, Rukh G. Depression and Vegetarians: Association between Dietary vitamin B6, B12 and folate intake and global and subcortical brain volumes. Nutrients. 2021. https://doi.org/10.3390/nu13061790

    Article  PubMed  PubMed Central  Google Scholar 

  37. Durazzo M, Campion D, Fagoonee S, Pellicano R. Gastrointestinal tract disorders in the elderly. Minerva Med. 2017. https://doi.org/10.23736/S0026-4806.17.05417-9

    Article  PubMed  Google Scholar 

  38. Tian S, Wu L, Zheng H, Zhong X, Yu X, Wu W. Body mass index modifies the relationship between dietary iron intake and depressive symptoms among adults: a national population-based cohort. J Affect Disord. 2023. https://doi.org/10.1016/j.jad.2023.08.105

    Article  PubMed  Google Scholar 

  39. Bhatt S, Nagappa AN, Patil CR. Role of oxidative stress in depression. Drug Discov Today. 2020. https://doi.org/10.1016/j.drudis.2020.05.001

    Article  PubMed  Google Scholar 

  40. Huang Q, Liu H, Suzuki K, Ma S, Liu C. Linking what we eat to our mood: a review of diet, dietary antioxidants, and depression. Antioxid (Basel). 2019. https://doi.org/10.3390/antiox8090376

    Article  Google Scholar 

  41. Ganji SH, Qin S, Zhang L, Kamanna VS, Kashyap ML. Niacin inhibits vascular oxidative stress, redox-sensitive genes, and monocyte adhesion to human aortic endothelial cells. Atherosclerosis. 2009. https://doi.org/10.1016/j.atherosclerosis.2008.04.044

    Article  PubMed  Google Scholar 

  42. Wakade C, Giri B, Malik A, Khodadadi H, Morgan JC, Chong RK, et al. Niacin modulates macrophage polarization in Parkinson’s disease. J Neuroimmunol. 2018. https://doi.org/10.1016/j.jneuroim.2018.05.002

    Article  PubMed  Google Scholar 

  43. Digby JE, Martinez F, Jefferson A, Ruparelia N, Chai J, Wamil M, et al. Anti-inflammatory effects of nicotinic acid in human monocytes are mediated by GPR109A dependent mechanisms. Arterioscler Thromb Vasc Biol. 2012. https://doi.org/10.1161/ATVBAHA.111.241836

    Article  PubMed  PubMed Central  Google Scholar 

  44. Knüppel S, Norman K, Boeing H. Is a single 24-hour Dietary recall per person sufficient to Estimate the Population distribution of Usual Dietary Intake. J Nutr. 2019. https://doi.org/10.1093/jn/nxz118

    Article  PubMed  Google Scholar 

  45. Shi Y, Zhou W. Interactive Effects of Dietary Inflammatory Index with BMI for the risk of stroke among adults in the United States: insight from NHANES 2011–2018. J Nutr Health Aging. 2023. https://doi.org/10.1007/s12603-023-1904-1

    Article  PubMed  Google Scholar 

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Acknowledgements

The authors sincerely thank the NHANES of the CDC for providing the publicly available data.

Funding

This work was supported by the National Natural Science Foundation of China (Grant numbers 82160227), Jiangxi Provincial Department of Education Science and Technology Program Project (Grant numbers GJJ210125), and Jiangxi Province Postgraduate Innovation Special Fund (Grant numbers YC2022-B065).

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WW designed and revised the manuscript. ST conducted data analysis and wrote the manuscript. LW, HZ and XZ collected data. ML and XY edited the manuscript and interpreted the results. All authors read and approved the final manuscript.

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Correspondence to Wei Wu.

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Tian, S., Wu, L., Zheng, H. et al. Dietary niacin intake in relation to depression among adults: a population-based study. BMC Psychiatry 23, 678 (2023). https://doi.org/10.1186/s12888-023-05188-8

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