Depression is a common mental disorder, causing a very high level of disease burden, and is expected to become a rising trend in the next 20 years(Reference Vos, Abajobir and Abate1). The WHO has estimated that major depressive disorder will become the second most common contributor to the global burden of disease in worldwide disability-adjusted life-years by the end of 2020. In the global burden of disease 2000 analysis, the prevalence of major depression in a 12-month period was 5·8 % in men and 9·5 % in women (1·6-fold greater incidence in women). The higher prevalence of major depression in women has been explained by biological factors, such as the variation in ovarian hormone levels and, in particular, decreases in oestrogen(2,Reference Albert3) . The World Mental Health Japan 2nd Survey, which was conducted between 2013 and 2015 among the Japanese population, reported that the 12-month prevalence of major depression was 2·7 % and this had increased by 0·5 % during the past decade. Furthermore, it was also reported that Japan has a lower prevalence rate of major depression compared with Western countries, although the prevalence has been increasing because of social changes, such as economic recessions, natural disasters, and rapidly changing and diversifying social norms and values(Reference Ishikawa, Tachimori and Takeshima4).
Diet has been suggested as a modifiable factor that plays a role in depression(2), and several nutrients or foods have been associated with depressive symptoms. A higher intake of n-3 long-chain PUFA, fish, folate and other B vitamins is protectively associated with depression, whereas a higher intake of trans-fatty acids, fast food and commercial baked goods is associated with higher depressive symptoms and higher depression incidence. However, the results have been inconsistent(Reference Appleton, Woodside and Yarnell5–Reference Lucas, Mirzaei and O’Reilly8). Findings from a recent systematic review and meta-analysis have indicated that both fruit and vegetable intake, as well as their combination, were protectively associated with depression in cohort or cross-sectional studies. Fruit and vegetables are rich sources of fibre, vitamins (β-carotenes, vitamin E, vitamin C, vitamin B6, vitamin B12 and folate), minerals and non-nutrient phytochemicals (such as flavonoids and carotenoids) and are also rich sources of antioxidants(Reference Appleton, Woodside and Yarnell5,Reference Hosseini, Berthon and Saedisomeolia9,Reference Saghafian, Malmir and Saneei10) . Thus, the relationship between single nutrients or foods and depression has been well reported, and some aetiological hypotheses of depression are widely accepted(Reference Martínez-González and Sanchez-Villegas7,Reference Saghafian, Malmir and Saneei10,Reference Li, Lv and Wei11) .
However, dietary pattern analysis has become more widely used because it considers the complex combinations of many nutrients and foods(Reference Hu12). In a recent meta-analysis of twenty-one articles, including five Japanese studies, on the associations between dietary patterns and depression risk, it was reported that a healthy/prudent dietary pattern characterised by a high intake of fruit, vegetables, wholegrains, fish, olive oil, low-fat dairy and antioxidants and a low intake of animal-based foods was associated with a decreased risk of depression. In contrast, the Western style/unhealthy dietary pattern characterised by the high consumption of red and/or processed meat, refined grains, high-sugar foods and high-fat dairy products and the low intake of fruits and vegetables was associated with an increased risk of depression(Reference Li, Lv and Wei11). Furthermore, a meta-analysis of twenty-nine prospective studies, which included only one Japanese maternal study, reported that a higher quality diet (i.e. a healthy/prudent or Mediterranean diet) was associated with a lower risk of the onset of depressive symptoms(Reference Molendijk, Molero and Ortuno Sanchez-Pedreno13).
Dietary patterns are likely to vary according to sex, socio-economic status, ethnic group and culture(Reference Hu12). According to the dietary patterns in relation to depressive symptoms found in the Japanese population, higher quality dietary patterns (i.e. healthy/balanced Japanese or healthy Japanese) include not only vegetables, fruits and fish/shellfish but also mushrooms, seaweed, soyabean products and potatoes(Reference Miki, Kochi and Kuwahara14–Reference Sugawara, Yasui-Furukori and Tsuchimine18). In relation to other health outcomes, such as all-cause and CVD mortality(Reference Shimazu, Kuriyama and Hozawa19–Reference Nanri, Mizoue and Shimazu21), the food components of higher quality dietary patterns found in the prospective Japanese cohort study were almost the same, although green tea was added occasionally. Thus, the higher quality dietary patterns found in the Japanese population that provide better health outcomes involve quite different food components compared with the dietary patterns found in Western populations. In this study, we defined this higher quality dietary patterns found in the Japanese population as the ‘healthy Japanese’ pattern. Furthermore, the food components of the ‘healthy Japanese’ pattern such as vegetables, fruits, fish (n-3 fatty acids), soyabean products, mushrooms and seaweed have higher anti-inflammatory effects(Reference Zhu, Du and Xu22–Reference Fernando, Nah and Jeon25). Thus, a ‘healthy Japanese’ pattern could have an antidepressant effect, and in this study, we examined whether the ‘healthy Japanese’ pattern is associated with depressive symptoms among Japanese women. We hypothesised that because of its higher anti-inflammatory properties, the ‘healthy Japanese’ pattern would be protectively associated with depressive symptoms.
Materials and methods
Participants
The present cross-sectional study was based on data obtained from the Nagano Nutrition and Health Study. The participants were 2112 Japanese women who worked at hospitals, nursery schools and school lunch facilities, living in Nagano prefecture, Japan. Between February and June 2013, we conducted a cross-sectional study. A total of 1346 participants completed the self-administered questionnaire (response rate 63·7 %), and the data of nine participants with missing written informed consent were excluded. The final analytic sample included the data from 1337 participants who provided informed consent.
Assessment of depressive symptoms
Depressive symptoms were assessed using a Japanese version(Reference Shima, Shikano and Kitamura26) of the Center for Epidemiologic Studies Depression (CES-D) Scale(Reference Radloff27). The CES-D scale consists of twenty questions that ask participants to rate how often over the past week they experienced symptoms associated with depression, such as restless sleep, poor appetite or feeling lonely. Each question is scored on a four-point scale according to the frequency of the symptom (from 0 to 3), and the total CES-D score ranges from 0 to 60, with high scores indicating greater depression. The CES-D also provides a cut-off score of 16 or higher that aids in identifying individuals at risk of clinical depression, with good sensitivity and specificity and high internal consistency in both Western and Japanese populations(Reference Lewinsohn, Seeley and Roberts28,Reference Wada, Tanaka and Theriault29) . Therefore, depressive symptoms were defined in the present study when participants had CES-D scores of 16 or greater.
Dietary assessment
Dietary intake during the preceding 1-month period was assessed using a previously validated brief self-administered dietary history questionnaire (BDHQ)(Reference Kobayashi, Murakami and Sasaki30,Reference Kobayashi, Honda and Murakami31) as the FFQ. The BDHQ contains items related to the consumption frequency of fifty-six different foods and beverages and nine dishes commonly consumed in the general Japanese population. The daily dietary intakes for energy and selected nutrients were calculated using an ad hoc computer algorithm for the fifty-six foods and beverages of the BDHQ, which was based on the Standard Table Food Composition in Japan(32). Then, the fifty-six foods were combined into the food groups(Reference Kobayashi, Murakami and Sasaki30). A validation study of the BDHQ was conducted and compared with the gold standard 16-d weighted dietary records. It demonstrated reasonable validity for the food group(Reference Kobayashi, Murakami and Sasaki30) and nutrient(Reference Kobayashi, Honda and Murakami31) intakes estimated by the BDHQ in both men and women. Spearman’s correlation coefficients between energy-adjusted food group intakes by density method estimated from the BDHQ and dietary records were expressed as median (range: minimum to maximum), which is 0·44 (range: 0·14 to 0·82) in women and 0·48 (range: 0·21 to 0·83) in men(Reference Kobayashi, Murakami and Sasaki30). Furthermore, the Pearson’s correlation coefficients between energy-adjusted nutrient intakes estimated from the BDHQ and dietary records were 0·59 for fat, 0·58 for SFA, 0·19 for n-3 PUFA, 0·66 for Ca, 0·59 for Mg, 0·57 for Fe, 0·43 for Zn, 0·42 for β-carotene, 0·47 for α-tocopherol, 0·48 for vitamin B6, 0·40 for vitamin B12, 0·54 for folate, 0·61 for vitamin C and 0·69 for total dietary fibre(Reference Kobayashi, Honda and Murakami31). Information on dietary supplements was not used in the calculation of dietary intake because of the lack of reliable composition data for supplements in Japan.
Assessment of lifestyle variables and confounders
The self-reported lifestyle questionnaire inquired about age, medical history, family structure, household income, occupation, education, working hours, marriage status, body weight, body height, frequency of eating out, skipping breakfast, time of beginning dinner, family meal at dinner, current smoking, current alcohol intake, rest from sleep, sleeping duration, physical activity and self-reported stress. BMI was calculated as self-reported body weight (kg) divided by the square of self-reported body height (m).
Statistical analysis
We excluded participants with a past medical history of depression (n 8) or psychiatric disorders such as dysautonomia (n 8), anxiety disorders (n 7), Parkinson’s disease (n 1) and narcolepsy (n 1) because patients with mental illness may already be undergoing medical treatment including dietary guidance. Finally, 1312 participants were included in the statistical analysis. All statistical analyses were performed using IBM SPSS Statistics for Windows, version 24.0 (IBM Japan).
Most fundamentally, intake of almost all dietary factors, such as nutrients and foods, tends to be positively correlated with total energy intake(Reference Willett, Howe and Kushi33). Therefore, dietary patterns were derived using a principal component analysis based on the energy-adjusted food intake (g food/4184 kJ/d) using a density method consisting of fifty-two food and beverage items (excluding four items that overlapped with the others) of the BDHQ. The factors were rotated using an orthogonal transformation (varimax rotation function in SPSS) to achieve a simpler structure with greater interpretability. We considered the components with an eigenvalue greater than 1·0, the scree plot and the interpretability of the factors to determine the number of factors. This served to limit the number of factors as well as to better identify more meaningful factors. After the varimax rotation, three major dietary patterns were identified and these dietary patterns were named according to the food items with high factor loadings (absolute value). The factor scores for each dietary pattern and each individual were determined by summing the intake of each food weighed by the factor loadings(Reference Newby and Tucker34). A high factor score indicated a high frequency of consuming the foods included in that pattern. The factor scores for each dietary pattern were categorised into quartiles based on the distribution of the study population. We performed a sensitivity analysis on the factor extraction method by using oblique rotation (promax rotation).
Differences in the proportions and means of the covariates according to depressive symptoms were assessed by using χ 2 and independent t tests, respectively. Regarding the effect size of the nutrient intake, Cohen’s d value was used(Reference Lakens35). To assess the association between the dietary patterns and anti-/pro-inflammatory nutrients, we selected several nutrients as having higher anti-inflammation effects on depressive symptoms – namely, Ca, Mg, Fe, Zn, vitamin E, vitamin B2, vitamin B6, vitamin B12, folate, vitamin C, fibre, n-3 fatty acid and β-carotenes, and several nutrients as having higher pro-inflammation effects on depressive symptoms – namely, total energy, total fat and SFA. These nutrients were selected with consideration for their potential ability to protect against depressive symptoms, as demonstrated in previous studies(Reference Martínez-González and Sanchez-Villegas7,Reference Saghafian, Malmir and Saneei10,Reference Li, Lv and Wei11) , and for the lower or higher point of the overall inflammatory effect score (dietary inflammatory index: DII), which indicates a continuum from maximally anti-inflammatory to maximally pro-inflammatory(Reference Shivappa, Steck and Hurley36). Trend associations across the quartile categories of each dietary pattern were assessed with a Mantel-Haenszel χ 2 test for categorical variables and linear regression analysis for continuous variables. Meanwhile, ordinal numbers 0–3 were assigned to the quartile categories of each dietary pattern.
To assess the associations between dietary patterns derived from the Japanese population and depressive symptoms, a multiple logistic regression analysis was used to estimate both age- and multivariate-adjusted OR and 95 % CI for depression (dependent variable) for each quartile category of the dietary pattern (independent variables). The first quartile of each dietary pattern was used as a reference category. The first model was adjusted for age, and a multivariate model was calculated by adjusting for potential confounders, including age (years, continuous), family structure (living alone and living with family), household income (less than 5 million yen/year and more than 5 million yen/year), marriage status (not married and married), working hours (8 h/d or less, and more than 8 h/d), frequent eating out (two times/week or less, and more than two times/week), skipping breakfast (skip more than two times/week and eat almost every day), family meal at dinner (three times/week or less, and more than three times/week), alcohol consumption (one time/month or less, and quit/never), rest from sleep (not enough and enough), sleeping duration (6 h/d or less and more than 6 h/d) and self-reported stress (moderate or high, and never/light). The variance inflation factor was used to check for multicollinearity. The association trends were assessed using a logistic regression model and assigning ordinary numbers 0–3 to the quartile categories of each dietary pattern. All reported P values were two-sided, and a P value of <0·05 was considered statistically significant.
The sample size for the current study was determined through a previous study conducted by the authors, which showed the effect size to be 0·20. We estimated that the prevalence of depressive symptoms (CES-D score ≥16) among Japanese women would be at least 25 %(Reference Nanri, Kimura and Matsushita15). The minimum required sample size was calculated to be 1048 subjects (α = 0·05, β = 0·20). Furthermore, because it was demonstrated that ten individuals per variable are required to estimate regression coefficients in a logistic regression model(Reference Peduzzi, Concato and Kemper37), the required sample size of subjects with depressive symptoms was estimated to be 120 subjects for our logistic regression model (twelve independent variables). Ultimately, a sample size of 1312 participants (including 352 participants with depressive symptoms) was estimated to be sufficient for the current analysis.
Results
Participants’ characteristics
The characteristics of the study participants according to depressive symptoms are illustrated in Table 1. Three-hundred fifty-two participants (26·8 %) were identified as having depressive symptoms (CES-D score ≥16). Compared with participants who did not have depressive symptoms, those with depressive symptoms were younger and less likely to be married, have a family meal at dinner, get enough rest from sleep, and get 6 h of sleep or more and more likely to be living alone, earn less than three million yen in household income, eat out frequently, skip breakfast, drink alcohol, and situate their life as stressful. The participants with depressive symptoms had a significantly lower intake of Mg, Zn, vitamin B6 and vitamin C than the participants without depressive symptoms. These effect sizes were all small.
Table 1 Characteristics of the study participants with and without depressive symptoms
* Independent t test for continuous variables, χ 2 test for categorical variables.
Identified dietary pattern
We identified three major dietary patterns that explained 19·4 % of the variance in dietary intakes (Table 2). Items in the first dietary pattern represented a high intake of yellow or red vegetables, green leafy vegetables, root vegetables, mushrooms, seaweed, soyabean products (tofu, atsuage and natto), fish, potatoes and fruit. Therefore, this first dietary pattern was labelled the ‘healthy Japanese’ pattern. Items in the second pattern represented a high intake of Western and Japanese confectioneries, mayonnaise and other dressings, bread, and ice cream and a low intake of rice and miso soup. Therefore, this second dietary pattern was labelled the ‘sweets-fat’ pattern. Items in the third pattern represented a high intake of pasta (spaghetti and macaroni), fish and fish products, molluscs and shellfish, noodles and alcoholic beverages (beer, wine, sake and shocyu), and a low intake of rice and miso soup. Therefore, this third dietary pattern was labelled the ‘seafood–alcohol’ pattern. When oblique rotation was used, a factor loading pattern similar to that derived from the orthogonal rotation was obtained.
Table 2 Factor loadings matrix for major dietary patterns identified by principal component analysis*
* Factor loadings less than ±0·15 are not represented, and factor loadings less than ±0·15 for all dietary patterns are omitted from the table (Green tea, liver, low-fat milk, 100 % fruit and vegetable juice and whiskey).
† Deep-fried tofu.
‡ Fermented soyabeans.
§ Meat/fish and vegetable pancakes.
∥ Japanese distilled alcoholic beverage.
Table 3 shows the characteristics of study participants according to the quartiles of each dietary pattern. Participants with higher healthy Japanese pattern scores were older and more likely to be married, have a family meal at dinner, and engage in physical activity and less likely to be living alone, earn less than three million yen in household income, work 8 h and more, have more than 15 years of education, eat out frequently, skip breakfast, smoke, and consume alcohol. The nutritional intakes of anti-/pro-inflammatory nutrients selected for the quartiles of each dietary pattern are illustrated in Table 4. Notably, mean values increased for all anti-/pro-inflammatory nutrients with higher quartiles of the healthy Japanese pattern. Meanwhile, mean values of anti-inflammatory nutrients such as Mg, Zn, vitamin D and B12 decreased and mean values of energy increased with higher quartiles of the sweet-fat pattern. Furthermore, mean food intakes increased for vegetables, fruits, fish, seaweed, soya products and mushrooms, reaching higher quartiles of the healthy Japanese pattern (see online supplementary material, Supplemental Table 1).
Table 3 Characteristics of the study participants across the three dietary patterns
* Mantel-Haenszel χ 2 test for categorical variables and linear regression analysis for continuous variables, assigning ordinal numbers 0–3 to quartile categories of each dietary patterns (P < 0·05).
Table 4 Nutritional intake for the quartiles of each dietary patterns
* Linear regression analysis, assigning ordinal numbers 0–3 to quartile categories of each dietary patterns.
Depressive symptoms and dietary patterns
The age- and multivariate-adjusted OR and 95 % CI for depressive symptoms across the quartiles of all three dietary patterns are illustrated in Table 5. No associations were observed in the ‘sweets-fat’ and ‘seafood–alcohol’ patterns according to both the age- and multivariate-adjusted models. The age-adjusted OR for depressive symptoms in the first (low), second, third and fourth (high) quartiles of the factor scores for the ‘healthy Japanese’ pattern was 1·00 (reference); OR = 0·79, 95 % CI 0·57, 1·10; OR = 0·61, 95 % CI 0·43, 0·86; and OR = 0·58, 95 % CI 0·41, 0·82, respectively (P for trend = 0·001). Higher ‘healthy Japanese’ pattern scores were inversely associated with depressive symptoms. However, this significant association disappeared after multivariate adjustment for age, family structure, household income, marriage status, working hours, frequent eating out, skipping breakfast, family meal at dinner, alcohol drinking, rest from sleep, sleeping duration and self-reported stress. The multivariate OR for depressive symptoms in the first (low), second, third and fourth (high) quartiles of the factor scores for the ‘healthy Japanese’ pattern were 1·00 (reference); OR = 0·85, 95 % CI 0·57, 1·26; OR = 0·74, 95 % CI 0·48, 1·13; and OR = 0·69 95 % CI 0·45, 1·06, respectively (P for trend = 0·076).
Table 5 OR and 95 % CI for depressive symptoms to quartile of dietary pattern scores
* Adjusted OR and 95 % CI were based on multiple logistic regression analysis.
† Adjusted for age, family structure, household income, marriage status, working hours, frequent eating out, skipping breakfast, family meal at dinner, alcohol drinking, rest from sleep, sleeping duration and self-reported stress.
Discussion
The present cross-sectional study identified three dietary patterns among Japanese women. The higher quality dietary pattern was labelled the ‘healthy Japanese’ pattern, characterised by a high intake of yellow or red vegetables, green leafy vegetables, root vegetables, mushrooms, seaweed, soyabean products, potatoes, fish/shellfish and fruit; notably, the higher ‘healthy Japanese’ pattern score was significantly associated with a higher intake of anti-inflammatory nutrients such as n-3 PUFA, Ca, Mg, Fe, Zn, β-carotenoids, vitamin D, vitamin E, vitamin B6, vitamin B12, folate, vitamin C and fibre. Higher quartiles of the ‘healthy Japanese’ pattern scores were inversely associated with depressive symptoms in an age-adjusted model with significant dose-response relationships; however, this significant association disappeared after multivariate adjustment.
Recent studies regarding the relationship between dietary patterns and depressive symptoms among the Japanese population have found that the ‘healthy Japanese’ or ‘balanced Japanese’ patterns were associated with a decreased prevalence of depressive symptoms(Reference Nanri, Kimura and Matsushita15,Reference Suzuki, Miyaki and Tsutsumi17,Reference Miyake, Tanaka and Okubo38) . Furthermore, adherence to a dietary pattern identified using a reduced rank regression, which was based on the six nutrients linked to a decrease in depression – folate, vitamin C, Mg, Ca, Fe and Zn – found in high quantities in vegetables, fruits and typical Japanese foods, including mushrooms, seaweed, soyabean products and green tea, may be associated with a lower prevalence of depressive symptoms(Reference Miki, Kochi and Kuwahara14). Although the relationship was not significant after adjustment in this study, these findings were consistent with our present findings. However, two studies of the Japanese population found no relation between higher quality dietary patterns and depression(Reference Okubo, Miyake and Sasaki16,Reference Sugawara, Yasui-Furukori and Tsuchimine18) . The reason for this inconsistency is not clear; one possible explanation may be that lifestyle, age–sex-related differences in dietary patterns and sample size might have affected these results.
The food components of the ‘healthy Japanese’ pattern derived from this study have also been observed in previous studies among the Japanese population. The higher factor loadings of the principal component analysis indicate the higher correlations between each food item and the derived factors. The factor score of the ‘healthy Japanese’ pattern derived from this study involved a diet recognised as higher quality and had higher correlations with vegetables, mushrooms, seaweed, soyabean products, potatoes, fish/shellfish and fruit, in descending order of their related strength (Table 2). In six previous studies regarding the relationship between dietary patterns and depressive symptoms among the Japanese population, the higher quality dietary patterns named ‘healthy’, ‘balanced Japanese’ and ‘healthy Japanese’ had almost identical patterns to those in our study in terms of food groups and their related strength(Reference Miki, Kochi and Kuwahara14–Reference Sugawara, Yasui-Furukori and Tsuchimine18,Reference Miyake, Tanaka and Okubo38) . Although vegetables, fish/shellfish and fruit were common components of a higher quality diet among both Western and Japanese populations(Reference Saghafian, Malmir and Saneei10), mushrooms, seaweed, soyabean products and potatoes from the ‘healthy Japanese’ pattern were specific food group components of the higher quality diet in the Japanese population(Reference Nanri, Kimura and Matsushita15). The food components of higher quality dietary patterns found in the large prospective Japanese cohort study in relation to another health outcomes, such as all-cause and CVD mortality(Reference Shimazu, Kuriyama and Hozawa19–Reference Nanri, Mizoue and Shimazu21), were almost the same food components of the ‘healthy Japanese’ pattern, though green tea was added occasionally.
Furthermore, dietary patterns are identified a posteriori (via a principal component analysis or factor analysis using food/nutrition intake) or a priori (via a theoretical score or index such as the Mediterranean diet score, Healthy Eating Index and Alternate Healthy Eating Index). In previous studies reporting a posteriori dietary patterns, the Japanese food score (a priori dietary patterns) was proposed(Reference Okada, Nakamura and Ukawa39). The Japanese food score consists of seven food groups: beans and bean products, fresh fishes, vegetables, Japanese pickles, fungi, seaweeds and fruits, which were almost the same food components as those in the ‘healthy Japanese’ pattern derived from this study. The adherence to this Japanese food score was associated with a decreased risk of all-cause and CVD mortality in a large-scale cohort study. However, the ‘healthy Japanese’ pattern included specific Japanese food groups that reduce depressive symptoms and better health outcomes and involve quite different food components compared with dietary patterns found in Western populations.
Higher quartiles of the ‘healthy Japanese’ pattern in this study involved higher intake of the anti-inflammatory nutrients we selected, while the other dietary patterns had no such higher intakes. Notably, higher quartiles of the ‘sweets-fat’ pattern marked a lower intake of Mg, Zn, vitamin D and B12 and a higher intake of total fat and SFA. According to the DII(Reference Shivappa, Steck and Hurley36), individually, these nutrients we selected have antioxidant and anti-inflammatory properties, especially fibre, β-carotenes, vitamin E and vitamin C. Participants with a higher DII score (representing the most pro-inflammatory dietary potential) were demonstrated as having a higher risk of developing depression compared with participants with lower DII scores (those consuming diets with the greatest anti-inflammatory potential)(Reference Sánchez-Villegas, Ruiz-Canela and de la Fuente-Arrillaga40). The total fat and the SFA were most pro-inflammatory in terms of their high DII score. Thus, we wager that the ‘healthy Japanese’ pattern has stronger anti-inflammatory effects than both the ‘sweets-fat’ pattern and the ‘seafood–alcohol’ pattern. Furthermore, our study participants with depressive symptoms had lower intakes of almost all selected nutrients and significantly lower intakes of Mg, Zn, vitamin B6 and vitamin C than participants without depressive symptoms.
According to the food group intakes, the ‘healthy Japanese’ pattern, as a rich source of antioxidants and anti-inflammatory foods such as fish(Reference Miyake, Sasaki and Yokoyama41), seaweed(Reference Miyake, Tanaka and Okubo42) and soya products(Reference Miyake, Tanaka and Okubo42,Reference Miyake, Sasaki and Ohya43) , has an inverse association with the prevalence of depressive symptoms in the Japanese population. Mushrooms are one of the few food sources in which the precursor to vitamin D occurs naturally. According to a meta-analysis of observational studies and randomised controlled trials, participants with lower vitamin D levels demonstrated stronger associations with depression than control participants(Reference Anglin, Samaan and Walter44). Thus, higher intake of not only vegetables and fruits but also fish, seaweed, soya products and mushrooms might be the reason that the ‘healthy Japanese’ pattern was associated with depressive symptoms in this study. On the other hand, higher quartiles of the dietary pattern in both the ‘sweets-fat’ and the ‘seafood–alcohol’ pattern were not higher in such anti-inflammatory food group intakes. This might be the reason there was no relationship with depressive symptoms.
There are several hypotheses regarding the possible aetiological basis for this positive effect of the ‘healthy Japanese’ pattern on depressive symptoms. First, depression shares common mechanisms (e.g. insulin resistance, higher plasma homocysteine levels, endothelial dysfunction and so on) with obesity, CVD, diabetes and cancer. Cardioprotective food patterns, such as the healthy or Mediterranean dietary patterns, are also protective against depressive symptoms(Reference Sánchez-Villegas and Martinez-Gonzalez45). Furthermore, inflammatory processes, such as increased production of pro-inflammatory cytokines, seem to be the more important factors responsible for the link between depression and cardio-metabolic disorders. Pro-inflammatory cytokines cross the blood–brain barrier and interact with a number of pathophysiologic mechanisms associated with depression(Reference Martínez-González and Sanchez-Villegas7,Reference Okada, Nakamura and Ukawa39,Reference Lucas, Chocano-Bedoya and Schulze46) . In the Mediterranean population, a pro-inflammatory diet was associated with a significantly higher risk of depression. The high levels of antioxidants (fibre, β-carotenes and vitamins A, C, D and E) in fruits and vegetables have beneficial effects against depression(Reference Sánchez-Villegas, Ruiz-Canela and de la Fuente-Arrillaga40,Reference Liu, Yan and Li47) . Higher consumption of fish, which has n-3 PUFA with known anti-inflammatory properties, has been associated with reduced levels of depression(Reference Li, Liu and Zhang48). To be sure, the high amount of anti-inflammatory properties of the ‘healthy Japanese’ pattern may protect against depression.
Second, vitamin B6, vitamin B12 and folate are involved in neurochemical pathways and the synthesis of monoamines such as serotonin and noradrenaline related to the risk of depression.(Reference Sanchez-Villegas, Doreste and Schlatter49) Deficiencies in vitamin B6, vitamin B12 and folate can lead to reduced synthesis of monoamines and decrease their availability in the synapses(Reference Martínez-González and Sanchez-Villegas7). Folate deficiency leads to decreasing homocysteine, which has a neurotoxic effect, and higher serum folate concentrations have been associated with a decreased prevalence of depressive symptoms. There has also been a suggestion of a positive association between homocysteine concentrations and depressive symptoms(Reference Nanri, Mizoue and Matsushita50).
Third, the gastrointestinal microbiota plays an important role in mental health. Its involvement in the bidirectional communication between the brain and the gastrointestinal tract via the gut–brain axis is presumably a fundamental link between the microbiota and depression(Reference Taylor and Holscher51). Recent findings suggest that a lack of dietary fibre, important in modulating gut microbiota, leads to a substantial loss of diversity in this microbial community and influences the effect of gut bacteria.(Reference Cheung, Goldenthal and Uhlemann52) Subsequently, the intake of dietary fibre derived from fruits and vegetables is reported to be inversely related to depression symptoms(Reference Miki, Eguchi and Kurotani53). These possible explanations support our hypothesis that the ‘healthy Japanese’ pattern might be inversely associated with depression.
Although the associated interests were examined by adjusting for potential confounders, there are several limitations in this study. First, an association derived from this cross-sectional study does not necessarily indicate causality regarding the temporal direction of the relationship between dietary patterns and depression. Some mental illnesses might influence appetite and alter an individual’s food choices; therefore, poor diet quality may be the result of mental health symptoms, rather than a causative factor. Thus, longitudinal and prospective studies would be highly informative. Second, we assessed depression with a self-report rating scale (CES-D), rather than definite cases of depression based on a clinician-administered structured diagnostic interview. Although this was an epidemiological study assessing depressive symptom on using an established and widely used screening tool for depression, it might have led to misclassification of the outcome (i.e. participants with depression). Similarly, although the validity and reliability of the dietary questionnaire have been evaluated(Reference Kobayashi, Murakami and Sasaki30,Reference Kobayashi, Honda and Murakami31) , there may have been some degree of misclassification in the dietary assessment. Third, the generalisability of our findings may be limited. As 66 % of the present study participants were hospital nurses, the prevalence of depression was slightly higher than the general Japanese female population. Thus, the generalisability of the results to men and other different demographic populations is limited. Consequently, the observed association between the ‘healthy Japanese’ pattern and depression requires confirmation in large-scale prospective studies among the Japanese populations.
In conclusion, the present study found that the higher ‘healthy Japanese’ pattern was inversely associated with depressive symptoms with significant dose-response relationships; however, this significant association disappeared after multivariate adjustment. Specific Japanese food groups, such as seaweed, mushrooms, soyabean products and potatoes, as well as vegetables, fish/shellfish and fruit from the ‘healthy Japanese’ pattern were rich sources of anti-inflammatory nutrients and connected nutrients with the synthesis of monoamines and the gastrointestinal microbiota. This finding supports our hypothesis: the ‘healthy Japanese’ dietary pattern may well be associated with low depressive symptoms. However, further prospective studies are required to assess the associations between dietary patterns derived from the Japanese population and depressive symptoms as well as the biological mechanisms underlying these associations.
Acknowledgements
Acknowledgements: I would like to thank Msaomi Shindou for his help in data collection. I would also like to thank Okaya City Government, Suwa City Government, Suwa Red Cross Hospital, Suwa Chuo Hospital, Nakamura Hospital, Iida Municipal Hospital, Ina Central Hospital, JA Nagano Kouseiren Fujimikougen Byoin, North Alps Medical Center Azumi Hospital and Shinshu Ueda Medical Center. Financial support: This study was financially supported by a research Grant-in-Aid for Scientific Research (C) (K.K., grant number 18590601) from the Ministry of Education, Culture, Sports, Science and Technology, Japan. Conflict of interest: None. Authorship: The author conducted all research work such as the conception and design of the study, the collection of data, the analysis, the interpretation of the results and prepared the manuscript for publication. Ethics of human subject participation: This study was conducted according to the guidelines laid down in the Declaration of Helsinki, and all procedures involving study participants were approved by the Ethics Committee of Matsumoto University. Written informed consent was obtained from all patients.
Supplementary material
For supplementary material accompanying this paper visit https://doi.org/10.1017/S1368980020001548
