Abstract
Background
The gender-specific characteristics of individuals at an increased risk of developing depression currently remain unclear despite a higher prevalence of depression in women than in men. This study clarified socioeconomic and lifestyle factors associated with an increased risk of subclinical depression in general Japanese men and women.
Methods
Study participants were residents not receiving psychiatric treatments in 300 sites throughout Japan in 2010 (1152 men, 1529 women). Multivariable-adjusted odds ratios (OR) and 95% confidence intervals (95%CIs) for socioeconomic factors and lifestyle factors were calculated using a logistic regression analysis.
Results
Risk of depressive tendencies was significantly higher in men who were single and living alone (OR, 3.27; 95% CI, 1.56–6.88) than those married. The risk was significantly lower in women who were not working and aged ≥ 60 years (OR, 0.39; 95% CI, 0.22–0.68) and higher in men who were not working and aged < 60 years (OR, 3.57; 95%CI, 1.31–9.72) compared with those who were working. Current smoking was also associated with a significantly increased risk of depressive tendencies in women (OR, 2.96; 95% CI, 1.68–5.22) but not in men.
Conclusions
Socioeconomic and lifestyle factors were associated with an increased risk of depressive tendencies in general Japanese. Related factors were different by sex.
Electronic supplementary material
The online version of this article (10.1186/s12199-019-0788-6) contains supplementary material, which is available to authorized users.
Keywords: Depression, Gender, Socioeconomic factors, Lifestyle, Social psychiatry, Japanese
Introduction
Recent studies showed the prevalence of mental disorders in Japan remained stable and treatment rate has increased for those who have moderate disorders in the last decade [1, 2]. Although, the number of patients with mood disorders increased from 433,000 in 1996 to 1,116,000 in 2014 according to a survey conducted by the Japanese Ministry of Health, Labour, and Welfare [3, 4], treatment rate was still lower compared to the USA and more than 60% of people with moderate/mild disorders did not have any treatment [2]. Depression has become a social issue that needs comprehensive measures. A study using meta-analysis showed that non-specific and specific intervention studies in individuals without depression at baseline reduced the risk of depression after follow-up periods [5].
The early detection and prevention of disease progression are one of the potential strategies for depression. To figure out any characteristics of individuals associated with subclinical depression among the general population, it may be useful for public or industrial healthcare professionals to find and support those at high risk. Previous studies reported the characteristics of individuals at an increased risk of developing depression, including marital status, living arrangement, and income [2, 6–9]. However, the gender-specific characteristics of individuals at an increased risk of developing depression currently remain unclear despite an approximately twofold higher prevalence of depression in women than in men [10, 11]. Therefore, we hypothesized that there were differences in socioeconomic and lifestyle determinants to be associated with subclinical depression by sex in general Japanese. These characteristics need to be clarified separately by sex, age, and working status in order to formulate effective measures in a super-aging society due to elderly people at high risk [9, 12].
National Integrated Project for Prospective Observation of Non-communicable Disease and its Trends in the Aged (NIPPON DATA) 2010 is a cohort study based on the National Health and Nutrition Survey Japan in 2010. Participants were residents from 300 survey districts selected throughout Japan. In the present study, we used baseline survey data from NIPPON DATA2010 to investigate relationships between socioeconomic and lifestyle factors and depressive tendencies as assessed by Kessler 6 (K6) among this best available representative Japanese population.
Methods
Study population
The study population comprised the participants of a prospective cohort study of cardiovascular diseases named the National Integrated Project for Prospective Observation of Non-communicable Disease and its Trends in the Aged (NIPPON DATA) 2010 [13]. Participants were men and women aged 20 years and older who resided in 300 randomly selected areas throughout Japan and participated in the National Health and Nutrition Survey (NHNS) in 2010, which was conducted by the Ministry of Health, Labour, and Welfare [14]. Among 3873 participants aged 20 years or older who had a blood test in NHNS, 2898 participants (74.6%) agreed to participate in the cohort study, NIPPON DATA2010. They also participated in the Comprehensive Survey of Living Conditions (CSLC) in 2010, which was also conducted by the Ministry of Health, Labour, and Welfare; data from CSLC 2010 were merged to NIPPON DATA2010 dataset. The methods of NHNS, CSLC, and NIPPON DATA2010 have been described in detail elsewhere [13–15]. Trained interviewers obtained informed consent before enrollment. The Institutional Review Board of the Shiga University of Medical Science approved this study (No. 22–29, 2010).
A total of 164 participants were excluded because it was not possible to merge data from NHNS 2010 and CSLC 2010 with NIPPON DATA2010 baseline data (n = 91) or because of missing data (n = 73). Additional 53 patients were excluded because they were receiving treatments for psychiatric diseases. The remaining 2681 participants (1152 men, 1529 women) were included in the present study (Additional file 1: Figure S1).
Socioeconomic status
Information on socioeconomic factors was collected using the self-administered questionnaires of NIPPON DATA2010 (family status), NHNS 2010 (working status), and CSLC 2010 (monthly household expenditure of 2010 May, the month before CSLC 2010, home ownership, and health insurance).
The following socioeconomic factors were considered in the present study. Family status was grouped into three strata: “married,” “single living with family,” “single living alone.” “Single” included those who never married, were widowed, and divorced. Working status was grouped according to three categories: “working,” “not working aged < 60 years,” and “not working aged ≥ 60 years.” Those not working included students and homemakers. We categorized not working participants into two groups at the age of 60 years because most companies in Japan set a compulsory retirement age of 60 years for indefinite-term employees. Equivalent monthly household expenditure was calculated as household expenditure divided by the square root of the number of household members. Participants were categorized into quartiles using equivalent household expenditure. Home ownership was used to adjust the equivalent monthly household expenditure, because, in the CSLC questionnaire, rent in non-home owners was taken into account as part of expenditure, but mortgage payment in home owners was not. Participants who answered that they “did not know the household expenditure” were included as “no answer” in the analysis. Regarding health insurance, participants were categorized into three groups: national health insurance, employee’s health insurance, and other/no answer. National health insurance is managed by municipal governments and insures self-employed individuals, his/her families, and not working individuals. Participants insured by insurance systems for the elderly aged 75 years or older were included in this strata. Employee’s health insurance insures workers at companies and public offices, including their families. Other/no answer included participants who had received public livelihood assistance or had not answered the question.
Lifestyle and other information
Public health nurses collected information on smoking (current, ex-, or non-smoker), drinking habit, and a previous history of stroke, myocardial infarction, or angina pectoris using a standardized questionnaire in NHNS. Regarding drinking habits, participants were asked about the frequency of alcohol consumption per week and the typical amount consumed per day expressed in “gou” (Japanese unit of alcohol, with 1 gou being equivalent to 23 g of ethanol). Average alcohol consumption (gou/day) was calculated as the number of alcohol drinking days per week multiplied by the amount of alcohol per day, then divided by 7 days. Drinking habits were categorized into four strata: non-drinker, ex-drinker, current drinker < 2 gou/day, current drinker ≥ 2 gou/day. Participants who answered that they had a history of stroke, myocardial infarction, or angina pectoris were identified as “with a history of cardiovascular disease (CVD).”
K6 scale
The Japanese version of the K6 scale was obtained in the self-administered questionnaire for NIPPON DATA2010. K6 consists of 6 questions, which ask “during the past 30 days, how often did you feel the following: nervous, hopeless, restless, or fidgety, so depressed that nothing could cheer you up, that everything was an effort, and worthless”, scored as “0: None of the time”, “1: A little of the time”, “2: Some of the time”, “3: Most of the time” and “4: All of the time”, with a total score of 0–24 points [16, 17]. A higher number indicated distress. In the present study, depressive tendencies were identified by a K6 score ≥ 9 based on a previous validation study suggesting a score for identifying individuals at a high risk of depressive symptoms [18, 19].
Statistical analysis
All analyses were performed in total and by sex. The characteristics of participants with and without depressive tendencies were compared using t test and chi-squared test for continuous and categorical variables, respectively. The relationships between socioeconomic and lifestyle factors and depressive tendencies were examined using a sex-age-adjusted logistic regression analysis. A multivariable logistic regression analysis was performed to assess the independent relationships between socioeconomic and lifestyle factors and depressive tendencies. Sex, age, family status, working status, equivalent monthly household expenditure and home ownership, health insurance, lifestyle factors (drinking and smoking habits), and a history of CVD were used as explanatory variables.
The results of logistic regression analyses were reported as odds ratios (ORs) with corresponding 95% confidence intervals (95%CIs). P < 0.05 was considered to be significant. All analyses were performed using SAS software version 9.4 for Windows (SAS Institute Inc., Cary, NC, USA).
Results
Participant characteristics
Table 1 shows the characteristics of participants with or without depressive tendencies. A total of 193 (7.2%) participants had depressive tendencies (K6 ≥ 9) (67 men [5.8%], 126 women [8.2%]). Participants with depressive tendencies were around 4 years younger than those without in both men and women. Men with depressive tendencies included fewer married men. Furthermore, no differences were observed in the family status between women with and without depressive tendencies. Working status was statistically different by depressive tendencies in both men and women. Fewer women participants with depressive tendencies were insured by the national health insurance. Regarding lifestyle factors, more current smokers were included with depressive tendencies among women. No differences were observed in drinking habits and a previous history of CVD in men and women.
Table 1.
Characteristics of study participants stratified by the depressive status with the Kessler 6 scale. Japanese men and women aged 20 years and older. NIPPON DATA2010 baseline survey (n = 2681)
| Men | Women | |||||
|---|---|---|---|---|---|---|
| K6 < 9 (n = 1085) |
K6 ≥ 9 (n = 67) |
P | K6 < 9 (n = 1403) |
K6 ≥ 9 (n = 126) |
P | |
| n (%) | n (%) | n (%) | n (%) | |||
| Age, years* | 60.3 (15.4) | 56.7 (16.8) | 0.07 | 58.3 (16.0) | 54.4 (14.8) | 0.007 |
| Family status | ||||||
| Married | 895 (82.5) | 44 (65.7) | 0.001 | 1032 (73.6) | 90 (71.4) | 0.803 |
| Single living with family | 102 (9.4) | 10 (14.9) | 214 (15.2) | 22 (17.5) | ||
| Single living alone | 88 (8.1) | 13 (19.4) | 157 (11.2) | 14 (11.1) | ||
| Working status | ||||||
| Working | 689 (63.5) | 42 (62.7) | < 0.001 | 575 (41.0) | 71 (56.3) | < 0.001 |
| Not working aged < 60 years | 23 (2.1) | 7 (10.4) | 235 (16.7) | 24 (19.1) | ||
| Not working aged ≥ 60 years | 373 (34.4) | 18 (26.9) | 593 (42.3) | 31 (24.6) | ||
| Equivalent household expenditure per month (104 JPY)† | 12.7 (8.9–17.5) | 11.5 (8.8–15.6) | 0.808 | 13.3 (9.2–17.5) | 14.1 (8.8–17.9) | 0.250 |
| Health insurance | ||||||
| National | 602 (55.5) | 34 (50.7) | 0.553 | 724 (51.6) | 59 (46.8) | 0.012 |
| Employee’s | 466 (42.9) | 31 (46.3) | 660 (47.0) | 61 (48.4) | ||
| Other/no answer | 17 (1.6) | 2 (3.0) | 19 (1.4) | 6 (4.8) | ||
| Drinking status | ||||||
| Non-drinker | 261 (24.1) | 22 (32.8) | 0.325 | 882 (62.9) | 77 (61.1) | 0.151 |
| Ex-drinker | 34 (3.1) | 2 (3.0) | 17 (1.2) | 0 (0) | ||
| < 2 gou‡/day | 652 (60.1) | 33 (49.3) | 489 (34.8) | 45 (35.7) | ||
| ≥ 2 gou/day | 138 (12.7) | 10 (14.9) | 15 (1.1) | 4 (3.2) | ||
| Smoking status | ||||||
| Non-smoker | 379 (34.9) | 25 (37.3) | 0.104 | 1245 (88.8) | 97 (77.0) | < 0.001 |
| Ex-smoker | 420 (38.7) | 18 (26.9) | 82 (5.8) | 9 (7.1) | ||
| Current smoker | 286 (26.4) | 24 (35.8) | 76 (5.4) | 20 (15.9) | ||
| History of cardiovascular disease § | ||||||
| No | 970 (89.4) | 55 (82.1) | 0.064 | 1336 (95.2) | 118 (93.7) | 0.433 |
| Yes | 115 (10.6) | 12 (17.9) | 67 (4.8) | 8 (6.3) | ||
K6, Kessler 6; JPY, Japanese yen; IQR, interquartile range
*Age was expressed as mean (SD)
†Equivalent household expenditure per month (104 JPY) was calculated as monthly household expenditure divided by the square root of the number of family members and expressed as median (IQR)
‡Unit of alcohol beverage equivalent to 23 g of ethanol
§Stroke, myocardial infarction, or angina pectoris
Relationships between socioeconomic/lifestyle factors and depressive tendencies
Sex-age-adjusted ORs for socioeconomic/lifestyle factors associated with depressive tendencies are shown in Table 2. Women had a higher OR compared with men. Participants who were single and living alone had a significantly higher OR for depressive tendencies than those who were married. Participants who were not working aged ≥ 60 years had a lower OR than those who were working. Regarding health insurance, the OR of depressive tendencies was higher categorized as “other/no answer” than among those insured by the National Health Insurance. Regarding lifestyle factors, a significantly elevated OR was observed for current smokers. Participants with a history of CVD had a higher OR for depressive tendencies than those without a history of CVD. Age-adjusted ORs for socioeconomic/lifestyle factors associated with depressive tendencies by sex are shown in Additional file 2: Table S2. Men had a higher OR for “single living alone,” “not working aged < 60 years,” and “history of CVD.” Women had higher OR for “other/no answer” of category in the health insurance and for current smoker and had lower OR for “not working aged ≥ 60 years.”
Table 2.
Socioeconomic/lifestyle factors and sex-age-adjusted odds ratios of depressive tendencies (Kessler 6 ≥ 9) in Japanese men and women aged 20 years and older. NIPPON DATA2010 baseline survey (n = 2681)
| n/total n (%) | Odds ratio (95% CI) | |
|---|---|---|
| Sex | ||
| Men | 67/1152 (5.8) | Reference |
| Women | 126/1529 (8.2) | 1.41*† (1.04–1.92) |
| Family status | ||
| Married | 134/2061 (6.5) | Reference |
| Single living with family | 32/348 (9.2) | 1.23 (0.81–1.86) |
| Single living alone | 27/272 (9.9) | 1.74* (1.12–2.71) |
| Working status | ||
| Working | 113/1377 (8.2) | Reference |
| Not working aged < 60 years | 31/289 (10.7) | 1.11 (0.72–1.74) |
| Not working aged ≥ 60 years | 49/1015 (4.8) | 0.59* (0.38–0.90) |
| Equivalent household expenditure per month‡ | ||
| Q1 | 46/601 (7.7) | 1.31 (0.85–2.03) |
| Q2 | 41/671 (6.1) | Reference |
| Q3 | 49/654 (7.5) | 1.25 (0.81–1.92) |
| Q4 | 45/625 (7.2) | 1.23 (0.79–1.90) |
| No answer | 12/130 (9.2) | 1.58 (0.80–3.09) |
| Health insurance | ||
| National | 93/1419 (6.6) | Reference |
| Employee’s | 92/1218 (7.6) | 0.83 (0.58–1.18) |
| Other/no answer | 8/44 (18.2) | 2.81* (1.26–6.28) |
| Drinking status | ||
| Non-drinker | 99/1242 (8.0) | Reference |
| Ex-drinker | 2/53 (3.8) | 0.53 (0.13–2.21) |
| < 2 gou§/day | 78/1219 (6.4) | 0.82 (0.59–1.13) |
| ≥ 2 gou/day | 14/167 (8.4) | 1.22 (0.65–2.29) |
| Smoking status | ||
| Non-smoker | 122/1746 (7.0) | Reference |
| Ex-smoker | 27/529 (5.1) | 0.99 (0.61–1.59) |
| Current smoker | 44/406 (10.8) | 1.97* (1.30–2.99) |
| History of cardiovascular disease ‖ | ||
| No | 173/2479 (7.0) | Reference |
| Yes | 20/202 (9.9) | 2.07* (1.24–3.47) |
CI, confidence interval
*P value < 0.05 was considered to be significant
†Odds ratio was adjusted for age only
‡Calculated as monthly household expenditure divided by square root of the number of family members
§Unit of alcohol beverage equivalent to 23 g of ethanol
‖Stroke, myocardial infarction, or angina pectoris
We then performed a multivariable logistic regression analysis to identify independent relationships. Because there were sex interactions in some factors (Additional file 2: Table S1), analyses were done in total participants and in each sex group (Table 3). The risk of depressive tendencies was significantly higher in “single living alone” than “married” in total participants and in men. It was lower for “not working participants aged ≥ 60 years” in total participants and in women than for those who were working. The risk was significantly increased for current smokers in total participants and in women and for those who had a history of CVD in total participants and in men. In addition, the risk of depressive tendencies was significantly higher for women than for men. When we included participants who were receiving psychiatric treatments, the results obtained from the analysis were similar (data not shown).
Table 3.
Socioeconomic/lifestyle factors and multivariable adjusted odds ratios¶ of depressive tendencies (Kessler 6 ≥ 9) in Japanese men and women aged 20 years and older. NIPPON DATA2010 baseline survey (n = 2681)
| Total | Men | Women | |
|---|---|---|---|
| OR (95% CI) | OR (95% CI) | OR (95% CI) | |
| Sex | |||
| Men | Reference | ||
| Women | 1.74* (1.17–2.60) | ||
| Family status | |||
| Married | Reference | Reference | Reference |
| Single living with family | 1.19 (0.77–1.83) | 1.41 (0.61–3.25) | 1.02 (0.60–1.71) |
| Single living alone | 1.65* (1.03–2.65) | 3.27* (1.56–6.88) | 1.08 (0.57–2.07) |
| Working status | |||
| Working | Reference | Reference | Reference |
| Not working aged < 60 years | 1.15 (0.73–1.80) | 3.57* (1.31–9.72) | 0.85 (0.51–1.42) |
| Not working aged ≥ 60 years | 0.52* (0.33–0.82) | 0.90 (0.44–1.88) | 0.39* (0.22–0.68) |
| Equivalent household expenditure per month‡ | |||
| Q1 | 1.25 (0.80–1.95) | 0.97 (0.47–1.98) | 1.50 (0.84–2.68) |
| Q2 | Reference | Reference | Reference |
| Q3 | 1.30 (0.84–2.00) | 1.06 (0.52–2.16) | 1.51 (0.86–2.66) |
| Q4 | 1.27 (0.81–1.99) | 0.63 (0.29–1.39) | 1.77* (1.00–3.13) |
| No answer | 1.52 (0.77–3.00) | 2.09 (0.74–5.90) | 1.22 (0.47–3.17) |
| Health insurance | |||
| National | Reference | Reference | Reference |
| Employee’s | 0.79 (0.55–1.13) | 1.12 (0.60–2.09) | 0.68 (0.43–1.07) |
| Other/no answer | 2.54* (1.10–5.83) | 1.16 (0.23–5.83) | 3.68* (1.34–10.1) |
| Drinking status | |||
| Non-drinker | Reference | Reference | Reference |
| Ex-drinker | 0.59 (0.14–2.52) | 0.95 (0.20–4.41) | NA |
| < 2 gou§/day | 0.82 (0.59–1.15) | 0.71 (0.40–1.28) | 0.91† (0.61–1.35) |
| ≥ 2 gou/day | 1.11 (0.58–2.11) | 1.09 (0.49–2.47) | |
| Smoking status | |||
| Non-smoker | Reference | Reference | Reference |
| Ex-smoker | 1.00 (0.62–1.63) | 0.62 (0.32–1.20) | 1.42 (0.67–2.99) |
| Current smoker | 1.89* (1.24–2.90) | 1.07 (0.58–1.97) | 2.96* (1.68–5.22) |
| History of cardiovascular disease ‖ | |||
| No | Reference | Reference | Reference |
| Yes | 2.15* (1.28–3.64) | 2.10* (1.01–4.35) | 1.82 (0.82–4.08) |
OR, odds ratio; CI, confidence interval; NA, not available
*P value < 0.05 was considered to be significant
†Due to small number, two categories (> 2 gou/day and ≥ 2 gou/day) were combined
‡Calculated as monthly household expenditure divided by square root of the number of family members
§Unit of alcohol beverage equivalent to 23 g of ethanol
‖Stroke, myocardial infarction, or angina pectoris
¶All variables and house ownership are included simultaneously in the same model
Discussion
We examined relationships between socioeconomic and lifestyle factors and depressive tendencies in a general Japanese population in the baseline survey for NIPPON DATA2010, which included young and elderly, and working and not working, participants who resided in 300 randomly selected areas throughout Japan. While men who were single and living alone had a significantly higher risk of depressive tendencies than married men, this relationship was not found for women. Men not working aged < 60 years had a higher risk of depressive tendencies than working men, while women not working aged ≥ 60 years had a decreased risk. To the best of our knowledge, this is the first study to have examined depressive tendencies and associated factors in the best available representative population sample of Japanese men and women.
The higher prevalence of depression in women has been explained by sex hormone change and social roles in Japan [20, 21] and in Western countries [11]. In Western countries, an approximately twofold higher prevalence of depression in women than in men was reported since 1977 [22]. A recent research in Japan showed twofold higher prevalence in 2004–2006 [23], although older researches in Japan could not find the differences. These findings suggest that the social environment has been changing in Japan.
Labor participation rates have been increasing among women, who had typically stayed home to raise children in the period of economic growth in the twentieth century [12, 24]. Accordingly, men and women delayed marriage or stayed unmarried, which resulted in an increase in the percentage of unmarried people and one-person households [25]. Many working women have been classified as part-time workers with a low salary [26, 27]; the gender gap has remained greater in Japan than in other developed countries [28]. Even among married women, social support for childcare and the associated costs are limited for working women [12] and short sleep duration was related to depressive symptoms in women but not in men [29]. Working and household work in women might make sleep duration shorter.
The number of patients with depressive disorders per 100,000 population increased in Japan between 1996 and 2014 from 1.6 to 4.2 for men and from 2.7 to 7.0 for women [3, 4]. According to a Statistics Bureau, Ministry of Internal Affairs and Communications, report from 1996 to 2014, employment rate of the working age population among 15–64-year olds has increased from 56.8 to 64.5% for women, while it has reached a plateau at 80% for men [30]. Changes in the family status of men and increased labor participation among women may have contributed to the increases in the number of patients with depression. Even for the mortality, men who were unmarried or living alone among workers had higher risk [31]. Supportive measures for men at risk of disconnected living and for women of working age with social and in-home support for housework, which may include raising children, would be important.
Total participants who were categorized as “other/no answer” for health insurance had an increased risk of developing depression. “Other” included those receiving public livelihood assistance, and “no answer” may have included those who did not have valid health insurance because of non-payment of the premium. Thus, participants who had lost income for health reasons may have been included in this category.
Smoking was associated with an increased risk of developing depression in women, but not in men. A relationship between cigarette use and depressive symptoms has been consistently reported [32], while gender differences in this relationship remain inconclusive [33, 34]. Smoking rates in women are lower in Japan than in Western countries. Social pressure against women’s smoking may be strong in Japan, and female smokers are more likely to be nicotine-dependent than male smokers, thereby contributing to the different results obtained between men and women.
We used a K6 questionnaire with 6 brief questions that were easy to answer and that has been used as a tool for the mass screening of depression [35]. The Japanese version was validated for use in seven communities in Japan, demonstrating an excellent area under the curve of 0.94 (95%CI 0.88–0.99), which was similar to other questionnaires with more question items for assessing mood and anxiety disorders in the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV). A cut-off score of ≥ 9 in K6 for identifying subjects at an increased risk of developing depression was suggested according to a validation report, for which sensitivity and specificity were estimated as 77.8 and 86.4 in Japanese [18, 19], which were similar to other questionnaires with more question items [36]. We identified factors associated with depressive tendencies in a survey performed in up to 300 survey districts using the brief K6 questionnaire.
The strength of the present study was its representativeness of a Japanese study population from 300 randomly selected areas throughout Japan for NHNS 2010, including men and women, the young and elderly, and working and not working participants. Information on health insurance was included because the dataset was merged with CSLC 2010. There were several limitations in the present study. A cross-sectional analysis cannot estimate causal relationships between factors and depressive tendencies. Therefore, based on the present results, we cannot conclude these factors caused the development of depression. The possibility of a selection bias cannot be excluded because those who participated in all three surveys were included and the participation rate was not sufficiently high. There might have unmeasured confounding factors which we could not consider in our analyses. Trauma experience and low social supports were reported to be the risk factors of depression, and neurophysiological change in the brain could be associated with depression [11, 37]. Furthermore, we defined depressive tendencies using the K6 scale only, which may have resulted in misclassification.
Conclusion
In conclusion, we herein identified potential factors associated with depressive tendencies in the best available representative Japanese population. Factors such as family status, working status, and smoking habit were related to depressive tendencies and sex differences existed in their associations. Our findings suggest the high-risk groups whom should be screened for depressive tendencies using such as K6 questionnaires.
Additional files
Figure S1. Study participants of NIPPON DATA2010 and selection flow. (PPTX 42 kb)
Table S1. Age-adjusted sex interaction on the relationship between socioeconomic/lifestyle factors and depressive tendencies (Kessler 6 ≥ 9). Table S2. Socioeconomic/lifestyle factors and age-adjusted odds ratios of depressive tendencies (Kessler 6 ≥ 9). (DOCX 23 kb)
Acknowledgements
We deeply appreciate the Japanese Association of Public Health Center Directors and the Japan Medical Association for their support with NIPPON DATA2010’s baseline and follow-up survey. We also appreciate Shionogi Co. Ltd. for their support measuring brain natriuretic peptide. The authors thank Japanese public health centers and medical examination institutions listed in the Appendix of the reference [13] for their support with NIPPON DATA2010’s baseline survey.
Funding
This study was supported by Health and Labour Sciences Research Grants of the Ministry of Health, Labour and Welfare, Japan (Comprehensive Research on Life-Style Related Diseases including Cardiovascular Diseases and Diabetes Mellitus [H22-Junkankitou-Seishuu-Sitei-017, H25- Junkankitou-Seishuu-Sitei-022, H30-Junkankitou-Seishuu-Sitei-002]).
Availability of data and materials
The datasets are not open to the public.
Abbreviations
- 95%CIs
95% confidence intervals
- CSCL
Comprehensive Survey of Living Conditions
- CVD
Cardiovascular disease
- DSM-IV
Diagnostic and Statistical Manual of Mental Disorders
- K6
Kessler 6
- NHNS
National Health and Nutrition Survey
- NIPPON DATA
National Integrated Project for Prospective Observation of Non-communicable Disease and its Trends in the Aged
- OR
Odds ratios
Authors’ contributions
KM and AO are the representatives of NIPPON DATA2010. KM, AO, HU, AK, NO, T. Ohkubo, and T. Okamura designed the study. AK, NO, TH, NN, YN, N. Miyagawa, N. Miyamatsu, T. Ohkubo, T. Okamura, HU, AO, and KM collected the data. HS, AK, NO, and KM analyzed the data and drafted the manuscript; All authors critically reviewed the manuscript for important intellectual content and approved the final version of the manuscript.
Ethics approval and consent to participate
The Institutional Review Board of Shiga University of Medical Science approved this study (No. 22–29, 2010). This study was carried out in accordance with the Declaration of Helsinki. Written informed consent from each participant was obtained before enrolment.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
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Contributor Information
Harumitsu Suzuki, Email: hasuzuki@belle.shiga-med.ac.jp.
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Zentaro Yamagata, Email: zenymgt@yamanashi.ac.jp.
Takayoshi Ohkubo, Email: tohkubo@med.teikyo-u.ac.jp.
Tomonori Okamura, Email: okamura@z6.keio.jp.
Hirotsugu Ueshima, Email: hueshima@belle.shiga-med.ac.jp.
Akira Okayama, Email: aokayama@jrisp.com.
Katsuyuki Miura, Phone: +81-77-548-2476, Email: miura@belle.shiga-med.ac.jp.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Figure S1. Study participants of NIPPON DATA2010 and selection flow. (PPTX 42 kb)
Table S1. Age-adjusted sex interaction on the relationship between socioeconomic/lifestyle factors and depressive tendencies (Kessler 6 ≥ 9). Table S2. Socioeconomic/lifestyle factors and age-adjusted odds ratios of depressive tendencies (Kessler 6 ≥ 9). (DOCX 23 kb)
Data Availability Statement
The datasets are not open to the public.