Skip to main content

ORIGINAL ARTICLE

Int J Public Health, 23 September 2022

The Mediating Role of Extra-family Social Relationship Between Personality and Depressive Symptoms Among Chinese Adults

Hanfang ZhaoHanfang ZhaoHong ShiHong ShiZheng RenZheng RenMinfu HeMinfu HeXiangrong LiXiangrong LiYuyu LiYuyu LiYajiao PuYajiao PuLi CuiLi CuiShixun WangShixun WangJieyu ZhaoJieyu ZhaoHongjian LiuHongjian LiuXiumin Zhang
Xiumin Zhang*
  • School of Public Health, Jilin University, Changchun, China

Objectives: This study aims to explore the associations of personality traits and extra-family social relationship with depressive symptoms among Chinese adults.

Methods: A nationally representative sample of 29,810 adults aged 16 and above were selected from 2018 CFPS. Personality and depressive symptoms were measured using CBF-PI-15 and the CES-D8 scale. Extra-family social relationship was assessed through the self-rated evaluation. The multiple regression analysis and the PROCESS macro were used for the mediation analysis.

Results: Extraversion (OR = 0.807, 95% CI = 0.773, 0.842), agreeableness (OR = 0.795, 95% CI = 0.756, 0.835) and extra-family social relationship (OR = 0.927, 95% CI = 0.913, 0.941) had negative associations with depressive symptoms. Extra-family social relationship could mediate between extraversion and depressive symptoms (Indirect effect = −0.049,95% CI = −0.060, −0.039) as well as agreeableness (Indirect effect = −0.056, 95% CI = −0.068, −0.046) and depressive symptoms. Comparing to females, the indirect effect accounts for a higher proportion of total effect in males.

Conclusion: Extra-family social relationship might mediate the association between extraversion and depressive symptoms as well as agreeableness and depressive symptoms.

Introduction

As a common mental disorder, depression is a leading cause of disability around the world and contributes greatly to the global burden of disease. It has been estimated that a total of 264 million people are influenced by depression in the world [1]. Depression has the features as follows: presenting continuous sadness and lacking enjoyment or interest in the prior enjoyable or rewarding activities. At the same time, it is also able to do harm to appetite and sleep and usually gives rise to tiredness and bad concentration. There can be long or recurrent depression influences, and have a great impact on the functions and rewarding life of people [2]. Depressive symptoms, although not sufficient for clinical diagnosis of depressive disorders, it has been identified as a practical and reliable way for preliminary screening of depression in the general population [3]. In China, depressive symptoms account more for the total personal expected medical spending than depression [4]. The associations between depressive symptoms and demographic characteristics, physiological health, behavioral factors and social capital among Chinese people have been investigated [5]. Notably, the associations of personality traits and depressive symptoms have received more and more attention abroad in recent years [68]. Given that previous Chinese studies on the association of personality traits and depressive symptoms are based on specific age ranges, limited sample regions (data often gathered in a few cities or provinces), and small or medium sample size (less than 10,000 respondents) [9, 10], there is a great need for more comprehensive studies based on nationally representative data.

For the purpose of explaining the personality-depression association, at least 6 alternative and partially overlapping theoretical models, including the common cause, spectrum, vulnerability, precursor, pathoplasty, and scar/complication, have already been put forward [1115]. To be specific, the personality traits strongly associated with depressive symptoms lie in neuroticism (N), extraversion (E) and conscientiousness (C) in both healthy and patient populations in accordance with the published reviews [1618]. Moreover, it is defined that high neuroticism, low extraversion, and low conscientiousness served as the vulnerable type for depressive symptoms [19]. However, in a meta-analysis, Malouff et al. (2005) showed that low agreeableness (A) is another personality trait associated with mental disorders [20]. The researches on the association of agreeableness, openness (O) and depressive symptoms has not reached a consistent conclusion. In a meta-analysis of 175 studies, it was found that agreeableness and openness were largely unrelated to depressive symptoms [16], while some studies indicated that agreeableness and openness are negatively associated with depressive symptoms [21, 22]. The different research results may be attributed to the differences in research samples, personality traits and depressive symptoms measurement, national cultural background as well as adjustment for potential confounding factors.

Notably, a meta-analysis of 10 cohort studies indicated that heterogeneity observed in the associations between personality and depressive symptoms may be related to social factors those unmeasured or measured imprecisely in the previous studies [17]. Compared with intra-family settings, individuals in extra-family settings (e.g., work, communities) are more likely to experience interpersonal distress. It is thought that the relationship between personality and depressive symptoms is rooted in a fundamental motivational system. The theory of Dynamics of Personality States points out that personality states may be elicited by different situations, options for such situational variables could be social roles (e.g., mother, CEO) or cultural cues [23]. Personality states not only serve as the counterparts of personality traits but also represent behavioral syndromes that indicate what the person on the whole is doing [24]. Personality states and personality traits can be measured with the same scale, and the personality scales about social interaction more largely reflects the personality state when socializing outside the family. Compared with people who score lower on extraversion, people scoring higher on extraversion go through more positive emotions, have a tendency to be friendly, cheerful and sociably, and are active as well as pursue social interaction [25]. Compared with people who score lower on agreeableness, people scoring higher on agreeableness show larger trust, altruism, straightforwardness, compliance, modesty, trust and tender-mindedness [25]. As a result, it is possible that personality states when individuals play roles in extra-family associated with extra-family social relationship.

The association between depression and social relationships has long been of interest. The theory of social determination proposes that individuals have the need for relatedness, that is, having close and meaningful relationships with others. If the need for a relationship is not sufficiently met, this may lead to loneliness and depression [26]. In a large nationally representative community cohort study, it has found that after accounting for baseline depression and other important potential confounders, the quality of social relationship predicted future depression [27], and other studies also indicated the negative relationship between social relationship and depression [28]. Conceptually, social relationship is likely to have an impact on mental health outcomes through multiple mechanisms including influence on health-related behaviors, engagement in social activities, transfer and exchange of social support, and access to material resources [29]. Empirically, social isolation and negative social interactions are associated with depression [30]. Social relationship includes intra-family and extra-family social relationship. However, there is no definitive conclusion on whether extra-family social relationship is associated with depressive symptoms. In previous studies, the conclusion of whether social relationships among friends, as well as in work settings, were associated with depressive symptoms, was not consistent [28]. Therefore, it is meaningful to explore the correlation between extra-family social relationship and depressive symptoms.

In the common cause model, it is posited that personality and depression are from common determinants, including genetic factors, explaining the relationship [14]. Gender serves as the most apparent genetic factor, with significant differences in physiology and social roles between men and women. Due to physiological cycle and other reasons, women’s hormones change more frequently, and they are almost twice as likely as men to have depressive symptoms throughout their life cycle [31]. However, researches on the mechanism of gender differences in depression is not comprehensive, and most of the researches focuses on financial comfort, social support, physiological health and gender equity [31, 32]. And there is still lack of research about whether the associations between personality traits and depression varies in different gender groups.

The 2018 China Family Panel Studies (CFPS) was the first time that personality traits had been included in a large-scale national survey in China. The study used the national representative sample data to analyze the association of personality and depressive symptoms among Chinese adults. Considering the poor variability of personality traits, this study introduced extra-family social relationship that is not only closely related to daily life among adults but also can be promoted through some strategies and measures. This study examined whether extra-family social relationship mediated between personality traits and depressive symptoms, which is lacking in existing studies. Moreover, there was also an examination of whether gender difference exists in the relationship of personality and extra-family social relationship with depressive symptoms.

Based on the above studies on depressive symptoms, personality traits, and extra-family social relationship, we hypothesized that: (1) path c: personality traits (extraversion and agreeableness) are related to depressive symptoms. (2) path a & b: the association between personality traits (extraversion and agreeableness) and depressive symptoms among Chinese adults is mediated by extra-family social relationship.

Methods

Data Sources and Sample Composition

The data were provided by the 2018 CFPS personal database, which is one of the national representatives for annual longitudinal review and approval by the Institute of Social Science Survey (ISSS) of Peking University [33]. All respondents were required to submit the written informed consent before the completion of the investigation. Using the method of ‘multistage probability proportional-to-size sampling’, the CFPS investigated about 15,000 households nationwide and interviewed all family members of each sampled household. A total of 30,105 participants aged 16 or above completed the full version with 8 questions of the Center for Epidemiologic Studies Depression (CES-D8) questionnaire. There were 29,810 subjects included in the final analytical sample after deleting the variables of extraversion, agreeableness, and extra-family social relationship containing missing values, as well as completing the covariate variables containing missing values.

Measures

Personality Traits

Personality traits were assessed using the 15-item short version of the Big Five Inventory (CBF-PI-15). This is a brief self-report based on the five-factor model that is used to survey the personality traits of Chinese people [34]. Extraversion and agreeableness are two of the five dimensions. Each dimension includes 3 items. Participants responded on the 5-point scale ranging from 1 (strongly disagree) to 5 (strongly agree). After correcting the reversely scored items (one for each dimension) and averaging the score of each dimension, the final score of each personality was calculated, with higher scores indicating higher levels of the corresponding personality trait [35]. Previous research using the CBF-PI-15 has shown that it demonstrates excellent reliability and validity across diverse samples [34, 36, 37].

Extra-Family Social Relationship

Extra-family social relationships were measured by asking respondents the following question: “How would you rate your extra-family relationship?”, and the answer ranged from 0 (worst) to 10 (best). Higher scores indicate better extra-family social relationship.

Depressive Symptoms

Depressive symptoms of the participants in this study were measured using the 8-item Center for Epidemiological Studies Depression (CES-D8) scale. It measures the frequency of symptoms over the last week and rates on a 4-point scale: 0 for “less than a day,” 1 for “1–2 days,” 2 for “3–4 days” and 3 for “5–7 days” [38]. 2 of the 8 items are scored reversely. A total score of CES-D8 was calculated after correcting the reversely scored items and summing the scores, and higher scores suggested a greater likelihood of depression. It has been shown that CES-D8 with high reliability is an effective short form of CES-D as the original longer form [39]. The CES-D8 score varies from 0 to 24, and a score ≥ 9 is used to identify people with clinically significant depressive symptoms [40].

Covariate Assessment

Demographic characteristics included gender, age, marital status, place of residence, and educational level. Age was divided into 16∼44, 45∼59, and 60∼. Marital status consisted of never married, married or cohabitating, and widowed or divorced. Place of residence included rural and urban areas. Educational level was classified according to China’s education system setting: 1) primary school or below; 2) middle school; 3) high school; 4) college degree or above.

This study considered two physiological health factors: BMI and self-rated health. BMI was calculated by dividing body weight by the square of body height (kg/m). In addition, within the revised Asia-Pacific BMI criteria by the World Health Organization [41], it is pointed out that BMI < 18.5, 18.5 ≤ BMI < 24.0, 24.0 ≤ BMI < 28.0, BMI ≥ 28.0 were defined as underweight, normal, overweight and obesity, respectively. Self-rated health was measured by asking respondents how they evaluated their health status, which was categorized into good, fair and bad.

Social status and self-rated income were assessed by 5-point scale questions, higher score indicated higher level of social status and self-rated income in the local area of the participant. Social status was evaluated by requiring respondents to rate their own social status in the local area, which was categorized into high, medium, and low. Self-rated income was assessed through self-rated income level in the local area. Since some of the participants were students, self-rated income was divided into medium or low, high and inapplicable.

Physical activities were measured by asking respondents about the frequency of physical exercise in the last week. These responses were grouped into never (0), sometimes (1∼3) and often (≥4). Drinking status was determined by asking whether they had drunk alcohol more than three times a week in the past month (yes or no). Smoking status was determined by asking whether they had smoked in the past month (yes or no).

Family relationship was included as an adjustment variable since this study focused on the extra-family social relationship. It was assessed by self-rated relationship with spouses, parents, and children. The participants were asked to score their relationship with their spouses, parents, and children from 1 (lowest) to 5 (highest), respectively, in which a higher score indicated a higher level of social status. The average score of the above family members was taken as the final score of the family relationship.

Statistical Analyses

Data were managed and analyzed using the SPSS software version 24 (IBM, Armonk, NY, United States). First of all, the t-test, analysis of variance (ANOVA) and linear regression analysis were used to assess the differences of personality scores in basic characteristics. Secondly, the associations of personality traits, extra-family social relationship, and depressive symptoms were analyzed using binary logistic regression models. The odds ratios (ORs) and 95% confidence intervals (CIs) were adjusted for potential confounding factors. Thirdly, Pearson correlations were conducted to investigate the relationship of personality traits, extra-family social relationship, and depressive symptoms. Finally, the mediating role of extra-family social relationship in personality traits and depressive symptoms was tested and reconfirmed using the multiple linear regression analysis and the PROCESS macro. Based on 5,000 bootstrapped samples, the 95% bootstrap CI was calculated and p value < 0.05 was considered significant.

Results

Sample Characteristics and Personality Traits

The results showed that the prevalence of depressive symptoms among Chinese adults was 21.3% (6,348/29,810). Of all participants, 50.4% were females, and the number of participants aged 16∼44, 45∼59 and 60∼ were 12,984 (43.6%), 9,018 (30.3%) and 7,808 (26.1%), respectively.

All characteristics were associated with extraversion and all characteristics except BMI were associated with agreeableness (p < 0.05). Table 1 describes the sample characteristics of participants with different scores of extraversion and agreeableness in detail.

TABLE 1
www.frontiersin.org

TABLE 1. Sample characteristics of the participants and the distributions of extraversion and agreeableness in categorical items (N = 29,810). (China, 2018).

Personality Traits, Extra-family Social Relationship, and Depressive Symptoms

A higher level of extraversion (OR = 0.757, 95% CI = 0.728, 0.788), agreeableness (OR = 0.733, 95% CI = 0.701, 0.767) and extra-family social relationship (OR = 0.885, 95% CI = 0.873, 0.898) associated with a lower level of depressive symptoms among Chinese adults. After adjusting for potential confounding factors, the OR value changed to 0.807 (95% CI = 0.773,0.842), 0.795 (95% CI = 0.756,0.835) and 0.927 (95% CI = 0.913,0.941), respectively. Whetherbefore or after adjustment, extraversion, agreeableness and extra-family social relationship had a significant association with depressive symptoms. Data were shown in Table 2.

TABLE 2
www.frontiersin.org

TABLE 2. Extraversion, agreeableness and extra-family social relationship as predictors for depressive symptoms. (China, 2018).

Correlation Analysis

The Pearson correlations (two-tailed) of extraversion, agreeableness, extra-family social relationship, and depressive symptoms were presented in Supplementary Table S1. It was found that all correlation coefficients were significant (p < 0.001). Extraversion, agreeableness, and extra-family social relationship were negatively correlated with depressive symptoms.

Testing for the Mediation Effect

The multiple linear regression analysis was adopted to test whether extra-family social relationship could mediate the association between extraversion and depressive symptoms as well as agreeableness and depressive symptoms. The confounding factors were controlled in the analysis of the mediation effect. Table 3 displays the testing results. Firstly, extraversion and agreeableness had a significant association with depressive symptoms (Estimate = −0.477, 95% CI = −0.538, −0.416, p < 0.001 for extraversion; estimate = −0.552, 95% CI = −0.623, −0.481, p < 0.001 for agreeableness). Secondly, extraversion and agreeableness had a significant association with extra-family social relationship (Estimate = 0.349, 95% CI = 0.318, 0.380, p < 0.001 for extraversion; estimate = 0.398, 95% CI = 0.363, 0.434, p < 0.001 for agreeableness). Thirdly, extraversion and agreeableness were both controlled, and extra-famly social relationship had an association with depressive symptoms (Estimate = −0.140, 95% CI = −0.162, −0.117, p < 0.001 for extraversion; estimate = −0.141, 95% CI = −0.164, −0.119, p < 0.001 for agreeableness). In addition, the mediation effects were tested in males and females, respectively, which presented in Supplementary Tables S2, S3. Similar to the overall participants, pathways remained statistically significant in both male and female groups (p < 0.001).

TABLE 3
www.frontiersin.org

TABLE 3. Testing the mediation effect of extra-family social relationship in the association between extraversion, agreeableness and depressive symptoms (n = 29,810). (China, 2018).

Reconfirming for the Mediation Effect

The effect was reconfirmed through the PROCESS macro (Model 4), which showed a reduced direct effect of extraversion and agreeableness on depressive symptoms, respectively. It was found that extraversion (Indirect effect = −0.049, 95% CI = −0.060, −0.039) and agreeableness (Indirect effect = −0.056, 95% CI = −0.068, −0.046) had indirect effects on depressive symptoms through extra-family social relationship among overall participants. Moreover, it was also found that extraversion and agreeableness had indirect effects on depressive symptoms through extra-family social relationship among males (Indirect effect = −0.064, 95% CI = −0.080, −0.051 for extraversion; indirect effect = −0.073, 95% CI = −0.090, −0.057 for agreeableness) and females (Indirect effect = −0.038, 95% CI = −0.052, −0.026 for extraversion; indirect effect = −0.045, 95% CI = −0.061, −0.030 for agreeableness), respectively. Data were shown in Table 4. Thus, it can be concluded that extra-family social relationship can partially mediate the association between extraversion and depressive symptoms as well as agreeablenessand depressive symptoms. The mediation models were illustrated in Figures 1, 2.

TABLE 4
www.frontiersin.org

TABLE 4. Direct and indirect effects of personality traits on depressive symptoms. (China, 2018).

FIGURE 1
www.frontiersin.org

FIGURE 1. The mediating role of extra-family social relationship on the association between extraversion and depressive symptoms. Note: (1) overall; (2) males; (3) females. a path: a significant association between extraversion and extra-family social relationship. b path: a significant association between extra-family social relationship and depressive symptoms after controlling extraversion. c’ path: a significant association between extraversion and depressive symptoms after controlling extra-family social relationship. c = c’+ab. ***p < 0.001. (China, 2018).

FIGURE 2
www.frontiersin.org

FIGURE 2. The mediating role of extra-family social relationship on the association between agreeableness and depressive symptoms. Note: (1) overall; (2) males; (3) females. a path: a significant association between agreeableness and extra-family social relationship. b path: a significant association between extra-family social relationship and depressive symptoms after controlling agreeableness. c’ path: a significant association between agreeableness and depressive symptoms after controlling extra-family social relationship. c = c’+ab. ***p < 0.001. (China, 2018).

Discussion

There are three major findings in this study. (1) Lower levels of extraversion and agreeableness were related to higher level of depressive symptoms among Chinese adults. (2) Poor extra-social relationship was related to higher level of depressive symptoms. (3) Extra-family social relationship mediated the association between extraversion and depressive symptoms as well as agreeableness and depressive symptoms. These findings suggested that extraversion, agreeableness and extra-family social relationship exerted a certain function on depressive symptoms in Chinese adults, which should be an important concern when formulating intervention strategies for preventing and treating depressive symptoms.

This study found that Chinese adults with higher levels of extraversion and agreeableness were less likely to have depressive symptoms, which was supported by previous studies in Chinese specific populations (such as the unemployed and college students) [9, 10, 42]. Extraversion includes sociability, activity, assertiveness, and positive emotionality [43], which is believed to be rooted in a fundamental motivational system (such as behavioral activation system) [44]. Extraverted individuals behave more frequently in a style that inspires pleasant feelings, expresses more positive ideas, and can be more likely to encounter objectively pleasant events, compared with their introverted counterparts [23]. Positive thoughts and pleasant feelings may protect extraverted individuals from the onset of depressive symptoms. Agreeableness includes altruism, tender-mindedness, trust, and modesty [43], which is often described as emotional intelligence [45]. Agreeable individuals are more inclined to consider others, listen to others, comfort and encourage others when they are frustrated. Conversely, when they encounter negative life events, they are also more likely to receive assistance and encouragement from others, overcome difficulties, and stay away from negative emotions and depressive symptoms.

Previous studies on the association between extra-family social relationship and depressive symptoms provided conflicting results [28]. This study showed that better extra-family social relationship may be related to higher level of depressive symptoms among Chinese adults. It was confirmed that the association between social relationship and depression were attributed to the effects of perceived emotional support, perceived instrumental support, and large and diverse social networks on depression. A community cohort study has reported that social network is an important protective factor against depression [46]. And it has been reported that individuals in family-dependent or private restricted support networks have the highest risk of depression and other mental health conditions. In contrast, those in a locally integrated network have a lower risk of adverse mental health outcomes [47]. The particularly high prevalence of private restricted social networks in urban China may be associated with rapid urbanization over the last 20 years, which is associated with a decline in social ties and a change in the structure of personal networks, especially for migrants [48]. What’s more, in urban China (in common with other sites), a high proportion residents live with their spouse only, while not with their children or parents, whose social relationships with friends and neighbours were more important to protect themselves from depressive symptoms [49]. Moreover, it has been showed that distrustful, disrespectful and uncooperative social relationships at work are independent predictors of physician-diagnosed depression and antidepressant treatment [50]. In addition, it has also been supported that subjective components of social relationships are more critical to one’s health than objective characteristics of one’s social network [27]. In some areas, coworkers and friends could better understand one’s work and life in the confusion, frustration and bottlenecks, and be more likely to offer targeted recommendations and substantive help. With a high level of emotional support and structural support, individuals can not only get informational and tangible help or a solution way, but also pour negative emotions out, obtain sympathy, belongingness, esteem, comfort and useful advice during times of crisis or hardship [51]. Finally, they are more likely to overcome difficulties, get out of negative emotions, and stay away from depressive symptoms.

It was also found that higher levels of extraversion and agreeableness may be related to better extra-family social relationship, which in turn are related to higher level of depressive symptoms. People who score higher on extraversion have tendencies to facilitate better coping with stress. Better dealing with stress may result in a lower need for social support [52], which can increase the perceived availability of social support. In the meantime, extraversion are supposed to be associated with preferences to pursue social interactions whenever are in face of the stress. The individuals who tend to be agreeable are likely to better set up a wider social support network, which may provide the basis for seeking support in face of different stressors [53]. Generally, extraverted and agreeable ones at work, were more likely to establish trustful, respectful and cooperative social relationships with coworkers, bosses and supervisors. When getting along with friends, they are more friendly, positive and optimistic, more empathetic and easier to establish close and long-term relationship with friends. In contrast, introverted and/or disagreeable individuals are often unable to establish lasting and close social relationships with friends and coworkers. According to the theory of social determination [26], having positive social relationships is of great importance to individuals. Close relationships with coworkers, neighbors, and communities have significantly lower rates of depressive symptoms than private restricted networks [46]. In addition, establishing a meaningful relationship with others is the main foundation for individuals to get the emotional outlet and social support, reduce loneliness and integrate into the group [54, 55]. As a result, it reduces the risk of depressive symptoms.

Extra-family social relationship played a stronger mediating role in males, which may be related to Chinese cultural background. Nowadays, although women have the freedom to work in China, it is still common for many families that men work to earn money and women focus on their families. In a Chinese study of marriage satisfaction and gender norms, it is pointed out that husbands may have specific self-images of traditional gender division norms by examining differences between husbands and wives in housework and economic contributions [56]. Generally, compared with women, men’s relationships with colleagues and friends may be more important in their lives. In addition, a study on the relationship between social skills and happiness indicated that men scored higher in all social skills-related factors. The factors such as self-expression in social settings and the ability to say no and cut off social interactions have direct and significant effects on happiness among men [57]. In other words, men are more capable than women of achieving extra-family social relationship. Generally, men with higher level of extraversion and agreeableness may build good extra-family social relationship [25], which is likely to provide good social support for men when they encounter negative events in their lives, including emotional and instrumental support [29], helping them overcome difficulties and reduce the risk of depressive symptoms.

In the context of industrialization, urbanization, and an aging population, The Outline of the Healthy China 2030 Plan proposed that it is a necessity to advocate the people-oriented development concept and promote the people’s all-around health. Considering the mediating role of extra-family social relationship between personality traits and depressive symptoms, community managers, and school/work leaders should make joint efforts to improve introverted and disagreeable individuals’ extra-family social relationships, such as strengthening mental health education, establishing mutual help groups, increasing community activities and league construction in workplace, setting up psychological counseling rooms and other strategies.

Major limitations of this study include the nature of the cross-sectional study, which may make it difficult to correlate causes with effects from the findings. In addition, the data were collected through self-reporting, which could yield recall biases as well.

Conclusion

This study demonstrates the necessity for paying attention to the relationship of personality traits and depressive symptoms among Chinese adults. Lower extraversion, agreeableness, and poor extra-family social relationship could be related to higher level of depressive symptoms. Furthermore, extra-family social relationship might mediate the association between extraversion and depressive symptoms as well as agreeableness, and depressive symptoms.

Ethics Statement

The studies involving human participants were reviewed and approved by Biomedical Ethics Committee of Peking University (IRB00001052-14010). Written informed consent to participate in this study was provided by the participants or their legal guardian/next of kin.

Author Contributions

Conceptualisation and study design: XZ and HL; Data acquisition and management: HZ, HS, ZR, XL, YL, YP, LC, SW, and JZ; statistical analysis and data analysis: HZ, HS, ZR, XL, and MH; Manuscript drafting: HZ; Manuscript revision: XZ, HL, and MH; Final approval: All authors.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.ssph-journal.org/articles/10.3389/ijph.2022.1604797/full#supplementary-material

References

1.GBD 2017 Dis Injury Incidence Pr. Global, Regional, and National Incidence, Prevalence, and Years Lived with Disability for 354 Diseases and Injuries for 195 Countries and Territories, 1990-2017: a Systematic Analysis for the Global Burden of Disease Study 2017. Lancet (2018) 392(10159):1789–858. doi:10.1016/S0140-6736(18)32279-7

PubMed Abstract | CrossRef Full Text | Google Scholar

2.World Health Organization. Depression (2021). Available at: https://www.who.int/health-topics/depression#tab=tab_1 (Accessed November 12, 2021).

Google Scholar

3. Voelker, J, Wang, K, Tang, W, He, J, Daly, E, Pericone, CD, et al. Association of Depression Symptom Severity with Short-Term Risk of an Initial Hospital Encounter in Adults with Major Depressive Disorder. Bmc Psychiatry (2021) 21(1):257. doi:10.1186/s12888-021-03258-3

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Hsieh, C, and Qin, X. Depression Hurts, Depression Costs: The Medical Spending Attributable to Depression and Depressive Symptoms in China. Health Econ (2018) 27(3):525–44. doi:10.1002/hec.3604

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Xu, W, Sun, H, Zhu, B, Yu, X, Niu, Y, Kou, C, et al. The Prevalence of Depressive Symptoms and its Determinants Among Adults in mainland China: Results from a National Household Survey. J Affect Disord (2021) 281:220–7. doi:10.1016/j.jad.2020.12.009

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Prince, EJ, Siegel, DJ, Carroll, CP, Sher, KJ, and Bienvenu, OJ. A Longitudinal Study of Personality Traits, Anxiety, and Depressive Disorders in Young Adults. Anxiety Stress Coping (2021) 34(3):299–307. doi:10.1080/10615806.2020.1845431

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Lyon, KA, Juhasz, G, Brown, LJE, and Elliott, R. Big Five Personality Facets Explaining Variance in Anxiety and Depressive Symptoms in a Community Sample. J Affect Disord (2020) 274:515–21. doi:10.1016/j.jad.2020.05.047

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Mavrandrea, P, and Giovazolias, T. The Effect of Personality on Depressive Symptoms: The Mediating Effect of Adult Attachment. Curr Psychol (2020). doi:10.1007/s12144-020-01207-z

CrossRef Full Text | Google Scholar

9. Li, Y, He, L, Zhuang, K, Wu, X, Sun, J, Wei, D, et al. Linking Personality Types to Depressive Symptoms: A Prospective Typology Based on Neuroticism, Extraversion and Conscientiousness. Neuropsychologia (2020) 136:107289. doi:10.1016/j.neuropsychologia.2019.107289

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Shi, M, Liu, L, Yang, Y, and Wang, L. The Mediating Role of Self-Esteem in the Relationship between Big Five Personality Traits and Depressive Symptoms Among Chinese Undergraduate Medical Students. Pers Individ Dif (2015) 83:55–9. doi:10.1016/j.paid.2015.03.050

CrossRef Full Text | Google Scholar

11. Watson, D, and Clark, LA. Depression and the Melancholic Temperament. Eur J Pers (1995) 9(5):351–66. doi:10.1002/per.2410090505

CrossRef Full Text | Google Scholar

12. Clark, LA. Temperament as a Unifying Basis for Personality and Psychopathology. J Abnorm Psychol (2005) 114(4):505–21. doi:10.1037/0021-843X.114.4.505

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Krueger, RF, and Tackett, JL. Personality and Psychopathology: Working toward the Bigger Picture. J Pers Disord (2003) 17(2):109–28. doi:10.1521/pedi.17.2.109.23986

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Klein, DN, Kotov, R, and Bufferd, SJ. Personality and Depression: Explanatory Models and Review of the Evidence. Annu Rev Clin Psychol (2011) 7:269–95. doi:10.1146/annurev-clinpsy-032210-104540

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Enns, MW, and Cox, BJ. Personality Dimensions and Depression: Review and Commentary. Can J Psychiatry (1997) 42(3):274–84. doi:10.1177/070674379704200305

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Kotov, R, Gamez, W, Schmidt, F, and Watson, D. Linking "Big" Personality Traits to Anxiety, Depressive, and Substance Use Disorders: A Meta-Analysis. Psychol Bull (2010) 136(5):768–821. doi:10.1037/a0020327

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Hakulinen, C, Elovainio, M, Pulkki-Raback, L, Virtanen, M, Kivimaeki, M, and Jokela, M. Personality and Depressive Symptoms: Individual Participant Meta-Analysis of 10 Cohort Studies. Depress Anxiety (2015) 32(7):461–70. doi:10.1002/da.22376

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Klein, DN, Kotov, R, and Bufferd, SJ. Personality and Depression: Explanatory Models and Review of the Evidence. In: S NolenHoeksema, TD Cannon, and T Widiger, editors. Annual Review of Clinical Psychology (2011).

CrossRef Full Text | Google Scholar

19. Wardenaar, KJ, Conradi, HJ, Bos, EH, and de Jonge, P. Personality Modulates the Efficacy of Treatment in Patients with Major Depressive Disorder. J Clin Psychiatry (2014) 75(9):E916–23. doi:10.4088/JCP.13m08855

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Malouff, JM, Thorsteinsson, EB, and Schutte, NS. The Relationship between the Five-Factor Model of Personality and Symptoms of Clinical Disorders: A Meta-Analysis. J Psychopathol Behav Assess (2005) 27(2):101–14. doi:10.1007/s10862-005-5384-y

CrossRef Full Text | Google Scholar

21. Shanahan, MJ, Hill, PL, Roberts, BW, Eccles, J, and Friedman, HS. Conscientiousness, Health, and Aging: The Life Course of Personality Model. Dev Psychol (2014) 50(5):1407–25. doi:10.1037/a0031130

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Terracciano, A, Lobina, M, Piras, MG, Mulas, A, Cannas, A, Meirelles, O, et al. Neuroticism, Depressive Symptoms, and Serum BDNF. Psychosom Med (2011) 73(8):638–42. doi:10.1097/PSY.0b013e3182306a4f

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Heller, D, Komar, J, and Lee, WB. The Dynamics of Personality States, Goals, and Well-Being. Pers Soc Psychol Bull (2007) 33(6):898–910. doi:10.1177/0146167207301010

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Fleeson, W, and Leicht, C. On Delineating and Integrating the Study of Variability and Stability in Personality Psychology: Interpersonal Trust as Illustration. J Res Pers (2006) 40(1):5–20. doi:10.1016/j.jrp.2005.08.004

CrossRef Full Text | Google Scholar

25. Ayub, N. Predicting Suicide Ideation through Intrapersonal and Interpersonal Factors: The Interplay of Big-Five Personality Traits and Social Support. Personal Ment Health (2015) 9(4):308–18. doi:10.1002/pmh.1301

CrossRef Full Text | Google Scholar

26. Bucher, A, Neubauer, AB, Voss, A, and Oetzbach, C. Together Is Better: Higher Committed Relationships Increase Life Satisfaction and Reduce Loneliness. J Happiness Stud (2019) 20(8):2445–69. doi:10.1007/s10902-018-0057-1

CrossRef Full Text | Google Scholar

27. Teo, AR, Choi, H, and Valenstein, M. Social Relationships and Depression: Ten-Year Follow-Up from a Nationally Representative Study. Plos One (2013) 8(4):e62396. doi:10.1371/journal.pone.0062396

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Ivan Santini, Z, Koyanagi, A, Tyrovolas, S, Mason, C, and Maria Haro, J. The Association between Social Relationships and Depression: A Systematic Review. J Affect Disord (2015) 175:53–65. doi:10.1016/j.jad.2014.12.049

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Thoits, PA. Mechanisms Linking Social Ties and Support to Physical and Mental Health. J Health Soc Behav (2011) 52(2):145–61. doi:10.1177/0022146510395592

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Chou, KL, Liang, K, and Sareen, J. The Association between Social Isolation and DSM-IV Mood, Anxiety, and Substance Use Disorders: Wave 2 of the National Epidemiologic Survey on Alcohol and Related Conditions. J Clin Psychiatry (2011) 72(11):1468–76. doi:10.4088/JCP.10m06019gry

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Ferri, C, Yang, K, and Girgus, JS. Predicting the Gender Difference in Depressive Symptoms in Older Adults. Aging Ment Health (2022) 1–8. doi:10.1080/13607863.2022.2084712

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Salk, RH, Hyde, JS, and Abramson, LY. Gender Differences in Depression in Representative National Samples: Meta-Analyses of Diagnoses and Symptoms. Psychol Bull (2017) 143(8):783–822. doi:10.1037/bul0000102

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Xie, Y, and Hu, J. An Introduction to the China Family Panel Studies (CFPS). Chin Sociol Rev (2014) 47(1):3–29. doi:10.2753/CSA2162-0555470101

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Zhang, X, Wang, M, He, L, Jie, L, and Deng, J. The Development and Psychometric Evaluation of the Chinese Big Five Personality Inventory-15. Plos One (2019) 14(8):e0221621. doi:10.1371/journal.pone.0221621

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Su, S, Quan, F, and Xia, L. Longitudinal Relationships Among Interpersonal Openness Trait, Hostile Attribution Bias, and Displaced Aggressive Behaviour: Big Five Treated as Covariates. Int J Psychol (2021) 56:669–78. doi:10.1002/ijop.12745

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Lang, FR, John, D, Luedtke, O, Schupp, J, and Wagner, GG. Short Assessment of the Big Five: Robust across Survey Methods except Telephone Interviewing. Behav Res Methods (2011) 43(2):548–67. doi:10.3758/s13428-011-0066-z

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Han, H. Exploring the Association between Compliance with Measures to Prevent the Spread of COVID-19 and Big Five Traits with Bayesian Generalized Linear Model. Pers Indiv Differ (2021) 176:110787. doi:10.1016/j.paid.2021.110787

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Ohrnberger, J, Fichera, E, and Sutton, M. The Relationship between Physical and Mental Health: A Mediation Analysis. Soc Sci Med (2017) 195:42–9. doi:10.1016/j.socscimed.2017.11.008

PubMed Abstract | CrossRef Full Text | Google Scholar

39. O'Halloran, AM, Kenny, RA, and King-Kallimanis, BL. The Latent Factors of Depression from the Short Forms of the CES-D Are Consistent, Reliable and Valid in Community-Living Older Adults. Eur Geriatr Med (2014) 5(2):97–102. doi:10.1016/j.eurger.2013.12.004

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Briggs, R, Carey, D, O'Halloran, AM, Kenny, RA, and Kennelly, SP. Validation of the 8-item Centre for Epidemiological Studies Depression Scale in a Cohort of Community-Dwelling Older People: Data from the Irish Longitudinal Study on Ageing (TILDA). Eur Geriatr Med (2018) 9(1):121–6. doi:10.1007/s41999-017-0016-0

PubMed Abstract | CrossRef Full Text | Google Scholar

41.WHO Expert Consultation. Appropriate Body-Mass index for Asian Populations and its Implications for Policy and Intervention Strategies. Lancet (2004) 363(9403):157–63. doi:10.1016/S0140-6736(03)15268-3

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Wang, Y, Yao, L, Liu, L, Yang, X, Wu, H, Wang, J, et al. The Mediating Role of Self-Efficacy in the Relationship between Big Five Personality and Depressive Symptoms Among Chinese Unemployed Population: a Cross-Sectional Study. Bmc Psychiatry (2014) 14:61. doi:10.1186/1471-244X-14-61

PubMed Abstract | CrossRef Full Text | Google Scholar

43. John, OPNL. Paradigm Shift to the Integrative Big Five Trait Taxonomy. In: Handbook of Personality: Theory and Research. 3 ed. New York, NY: Guilford (2008).

PubMed Abstract | Google Scholar

44. Smits, DJM, and Boeck, PD. From BIS/BAS to the Big Five. Eur J Pers (2006) 20(4):255–70. doi:10.1002/per.583

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Van der Linden, D, Tsaousis, I, and Petrides, KV. Overlap between General Factors of Personality in the Big Five, Giant Three, and Trait Emotional Intelligence. Pers Individ Dif (2012) 53(3):175–9. doi:10.1016/j.paid.2012.03.001

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Devassy, SM, Scaria, L, Cheguvera, N, and Thampi, K. Association of Depression and Anxiety with Social Network Types: Results from a Community Cohort Study. Int J Environ Res Public Health (2021) 18(11):6120. doi:10.3390/ijerph18116120

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Thiyagarajan, JA, Prince, M, and Webber, M. Social Support Network Typologies and Health Outcomes of Older People in Low and Middle Income Countries - A 10/66 Dementia Research Group Population-Based Study. Int Rev Psychiatry (2014) 26(4):476–85. doi:10.3109/09540261.2014.925850

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Xu, Y, and Chan, EHW. Community Question in Transitional China, a Case Study of State-Led Urbanization in Shanghai. J Urban Plan Dev (2011) 137(4):416–24. doi:10.1061/(asce)up.1943-5444.0000077

CrossRef Full Text | Google Scholar

49. Singh, L, Singh, PK, and Arokiasamy, P. Social Network and Mental Health Among Older Adults in Rural Uttar Pradesh, India: A Cross-Sectional Study. J Cross Cult Gerontol (2016) 31(2):173–92. doi:10.1007/s10823-016-9286-0

PubMed Abstract | CrossRef Full Text | Google Scholar

50. De Vogli, R. Social Relationships at Work and Depression. J Epidemiol Commun Health (2010) 64(8):652–3. doi:10.1136/jech.2009.094706

CrossRef Full Text | Google Scholar

51. Forsman, AK, Nyqvist, F, Schierenbeck, I, Gustafson, Y, and Wahlbeck, K. Structural and Cognitive Social Capital and Depression Among Older Adults in Two Nordic Regions. Aging Ment Health (2012) 16(6):771–9. doi:10.1080/13607863.2012.667784

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Dauvier, B, Pavani, J, Le Vigouroux, S, Kop, J, and Congard, A. The Interactive Effect of Neuroticism and Extraversion on the Daily Variability of Affective States. J Res Pers (2019) 78:1–15. doi:10.1016/j.jrp.2018.10.007

CrossRef Full Text | Google Scholar

53. Furnham, A, and Cheng, H. Early Indicators of Adult Trait Agreeableness. Pers Individ Dif (2015) 73:67–71. doi:10.1016/j.paid.2014.09.025

CrossRef Full Text | Google Scholar

54. Macdonald, B, and Hulur, G. Well-Being and Loneliness in Swiss Older Adults during the COVID-19 Pandemic: The Role of Social Relationships. Gerontologist (2021) 61(2SI):240–50. doi:10.1093/geront/gnaa194

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Kennedy, MC, Jansson, M, Benoit, C, Magnuson, D, Scramstad, J, and Hallgrimsdottir, H. Social Relationships and Social Support Among Street-Involved Youth. J Youth Stud (2017) 20(10):1328–45. doi:10.1080/13676261.2017.1333582

CrossRef Full Text | Google Scholar

56. Chen, Y, and Hu, D. Gender Norms and Marriage Satisfaction: Evidence from China. China Econ Rev (2021) 68:101627. doi:10.1016/j.chieco.2021.10162

CrossRef Full Text | Google Scholar

57. Salavera, C, and Usan, P. Relationship between Social Skills and Happiness: Differences by Gender. Int J Environ Res Public Health (2021) 18(15):7929. doi:10.3390/ijerph18157929

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: China, adults, depressive symptoms, extra-family social relationship, big-five personality

Citation: Zhao H, Shi H, Ren Z, He M, Li X, Li Y, Pu Y, Cui L, Wang S, Zhao J, Liu H and Zhang X (2022) The Mediating Role of Extra-family Social Relationship Between Personality and Depressive Symptoms Among Chinese Adults. Int J Public Health 67:1604797. doi: 10.3389/ijph.2022.1604797

Received: 26 January 2022; Accepted: 13 September 2022;
Published: 23 September 2022.

Edited by:

Nino Kuenzli, Swiss Tropical and Public Health Institute (Swiss TPH), Switzerland

Reviewed by:

Li He, Southwest University, China

Copyright © 2022 Zhao, Shi, Ren, He, Li, Li, Pu, Cui, Wang, Zhao, Liu and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Xiumin Zhang, zhangxiumin63@163.com

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.