Social trust and emotional health in rural older adults in China: The mediating and moderating role of subjective well-being and subjective social status

DOI: https://doi.org/10.21203/rs.3.rs-60031/v2

Abstract

Background

China is becoming an aging society. The emotional health of the elderly is gaining importance. Social trust is an important factor affecting emotional health, but existing studies have rarely considered the various effects of different types of social trust on rural elderly emotional health. Few studies have analysed the role of subjective well-being and subjective social status in the relationship between social trust and elderly emotional health.

Methods

Using the data of the China Labor-force Dynamics Survey 2016 (CLDS 2016) and regression models, this study selected 2084 rural respondents aged 60 years and above to analyse the impact of social trust on their emotional health. Social trust was divided into three categories: trust in family members, trust in friends, and trust in neighbours. This study also examined the mediating and moderating effects of subjective well-being and subjective social status on the relationship between social trust and emotional health.

Results

Trust in family members was significantly and positively associated with emotional health (coefficient=0.194, P<0.01) and subjective well-being (coefficient=0.177, P<0.01). Trust in friends was significantly and positively associated with emotional health and subjective well-being (coefficient=0.097, P<0.01; coefficient=0.174, P<0.01, respectively). Trust in neighbours was significantly and positively associated with emotional health and subjective well-being (coefficient=0.088, P<0.01; coefficient=0.177, P<0.01; respectively). Subjective well-being effectively reduced the impact of social trust in family, friends, and neighbours on the emotional health of the elderly by 0.023, 0.022, and 0.023, respectively. Trust in friends and neighbours significantly and positively affected respondents’ subjective social status (coefficient=0.120, P<0.05; coefficient=0.090, P<0.10; respectively). Subjective social status effectively reduced the impact of social trust in friends and neighbours on the emotional health of the elderly both by 0.004. The positive relationship between trust in family members and emotional health is weakened by subjective well-being.

Conclusions

Social trust, especially family relationships, play an important role in maintaining the emotional health of the rural elderly. In response to population ageing, more social policies must be introduced to care for the rural elderly and help them lead a happy and satisfactory life.

Background

Aging is an important social process that many developing countries are experiencing. China is the world’s most populous country, and its elderly population is growing [1]. By 2019, 18.1 per cent of China’s population was over the age of 60 years. Over the past 40 years, China has experienced rapid urbanisation and modernisation, along with profound changes in people’s interpersonal relationships and lifestyles [2, 3]. However, compared to developed countries, China still has many deficiencies in elderly care and health welfare [4, 5]. The mental health of the elderly in particular has been neglected, and only a small number of older people seek help and treatment for psychological problems [6, 7]. Therefore, an examination of the mental health of the elderly and the factors influencing it is of great significance for improving their overall health and quality of life. The elderly living in rural areas would especially benefit from such research because they are affected by the huge gap between urban and rural public health services [2, 8].

The emotional health of the elderly is affected by many factors. In China, which is influenced by traditional family values, many older people live with their children and help in taking care of grandchildren and in family affairs [9, 10]. A good relationship with family members is, therefore, an important factor affecting elderly emotional health. For example, Tang et al. [11] found that Chinese older adults living with both a spouse and adult children reported better mental health than those living alone. Using a 1992 baseline survey of the Beijing Multidimensional Longitudinal Study on Aging, Chen and Silverstein [12] reported that providing instrumental support to children and satisfaction with children directly improved older Chinese parents’ well-being. In contrast, empty-nest elderly received less social support and were more likely to suffer from depression than those who lived with adult children [13-15]. Additionally, although social support has been shown to have a positive effect on maintaining the mental health of the elderly [16, 17], few studies have compared the effects of different types of social trust on the emotional health of the elderly. In China, most social interactions of the elderly are characterized by circle distribution, in which the core is the family life circle, followed by the circle of close friends, and the outermost circle of neighbours or strangers. Older people have different levels of social trust in different groups, which may have varying effects on their emotional health. Therefore, this study compared the differences in the impact of three types of social trust, namely trust in family, trust in friends, and trust in neighbours, on the emotional health of the elderly.

Studies have confirmed that subjective well-being and subjective social status are closely related to elders’ mental health [18, 19]. Subjective well-being and subjective social status reflect a person's overall perception of life conditions, which are influenced by many factors, such as income and social trust [19-22]. A happy life may also have an important protective effect on the mental state of older people. Subjective social status has also been shown to be an important factor affecting emotional health [23, 24]. For instance, Hwang et al. [25] revealed that elderly individuals who reported a higher level of socioeconomic status were less likely to engage in risk behaviours, and were therefore more likely to have better health status. In this study, we considered subjective well-being and subjective social status as important moderating and mediating variables, and analysed the roles and effects of these two factors in the relationship between social trust and emotional health of the elderly in China.

Social trust mainly includes interpersonal trust and the trust in the external living environment (i.e. community, society) [26]. In this research, we focus on the role of interpersonal trust in the emotional health of rural elderly. In China’s rural society, the degree of closeness in interpersonal relationships presents a ‘differential pattern’ (chaxu geju) [27], with family members at the centre and different people in different positions in the social network; the degree of trust granted to them also varies greatly. Those in the inner circle of the social network are often the first to be asked for help. Figure 1 shows the theoretical framework of the present study. This study analysed the impact of social trust on the emotional health of the elderly in China. Social trust reflects the elderly respondents’ perception of social relationships. In general, people are more likely to turn to someone they trust, or in whom they can confide, for emotional health support. In terms of the influence path of social trust on emotional health, individual subjective well-being and subjective social status may mediate or moderate the relationship between social trust and emotional health. On the one hand, social trust may affect an individual's subjective well-being and social status, thus affecting their emotional health. Social trust reflects the status of an individual’s interpersonal relationship. People with low social trust may have problems with interpersonal communication, and may have more difficulty integrating into society, which has a negative impact on their social status perception and subjective well-being. We will verify this impact path. On the other hand, their subjective well-being and subjective social status may also strengthen or weaken the impact of social trust on emotional health. The formation of subjective well-being and subjective social status is affected by many factors [28-30], which is a relatively stable psychological state. When the elderly have a low degree of social trust, a better psychological state may play an important protective role. This study attempted to verify those influence paths.

Methods

Data and sample

This study used data from the 2016 wave of the China Labor-force Dynamics Survey (CLDS 2016). The CLDS 2016 was conducted by the Center for Social Survey of Sun Yat-sen University. The respondents for this study were chosen from the CLDS 2016 data, by using a probability proportional to size sampling technique. As the target population of this study were the rural elderly in China, we selected a sample of respondents over the age of 60 year and living in rural neighbourhoods. After excluding respondents with missing information, the data of 2084 respondents were used in this study. 

Variables

Emotional health

Emotional health is a comprehensive expression of one’s inner world. In existing studies, there are two main ways to measure individuals’ emotional health. One is to focus on a certain aspect of emotional health, such as depression, and the other is to evaluate emotional health in general [31]. In this study, the measure of emotional health of rural elderly people was the respondents’ overall evaluation of their emotional health. Respondents were asked the question: ‘Did you have any emotional problems (such as feeling anxious or depressed) in the past month?’ The responses were recorded on a five-point scale (regrouped), wherein 5=no, 4=rarely, 3=sometimes, 2=frequently, and 1=always; higher scores indicated better emotional health.

Social trust

Social trust is a state of the relationship between people and society [32]. In this study, social trust refers to the degree of trust the elderly have in other people with whom they interact frequently in daily life. Social trust was divided into three categories: trust in family members, trust in friends, and trust in neighbours. Social trust in each group was rated on a scale of 1 to 5 (1=completely untrustworthy, 2=relatively untrustworthy, 3=between trustworthy and untrustworthy, 4=relatively trustworthy, 5=completely trustworthy), with a higher score indicating a higher level of trust in the particular group.

Subjective well-being and subjective social status

Subjective well-being and subjective social status were the main independent variables in this study. Subjective well-being is an individual’s overall evaluation of his/her life state [33]. Emotional health is closely related to personality and attitude [34], but it may also be affected by the individual’s life conditions (in this regard, we use subjective well-being as an indicator). The subjective social status is obtained by comparing the economic and social conditions of individuals with other people, which is a subjective cognition that is obtained relative to others [35]. In this research, subjective well-being is obtained by directly asking the respondent ‘In general, do you think you are living a happy life?’  Subjective well-being was measured through the respondents’ evaluation of their happiness rated from 1 to 5 (1=very unhappy, 2=unhappy, 3=average, 4=happy, 5=very happy), with higher scores indicating higher subjective well-being. The MacArthur Scale of subjective social status was used to assesses the respondents’ perceived rank relative to others in their group, which is widely used in previous studies [36, 37]. Subjective social status was assessed on a 10-rung ladder measure of social class rank (a self-anchoring scale) ranging from 1 to 10, with higher scores indicating higher subjective social status.

Control variables

Individual demographic factors were used as control variables. The control variables were: age (continuous variable), marital status (categorical variable), number of family members living together (continuous variable), work status (categorical variable), (log) annual personal income (continuous variable), gender (categorical variable), educational level (continuous variable), and self-rated health (continuous variable). Self-rated health data were obtained by asking respondents about their physical health, rated on a scale from 1 (very healthy) to 5 (very unhealthy), with higher scores indicating lower self-rated health.

Results

Mediation effects of subjective well-being and subjective social status on the relationship between social trust and emotional health of older adults

Table 1 presents the descriptive statistics of all the variables used in the analysis. In general, the average level of emotional health of elderly respondents was relatively high, at 4.22. Among the three types of social trust, trust in family members was the highest (4.82), followed by trust in friends (4.35), and the lowest was trust in neighbours (3.95). The average subjective well-being of elderly respondents was 3.77. The subjective social status of the elderly was relatively low, with an average of 4.24 (<5). In terms of the respondents’ demographic characteristics, the average age of the respondents was 65.23, and most of the elderly had partners (92.08%). In terms of family composition, the average number of family members living together was 5.05. In terms of working status, 94.24% of the elderly respondents had a job (mostly working in agriculture). The average annual income of the respondents was 1,1889.3 yuan. The proportions of male respondents and female respondents were 61.13% and 38.87%, respectively. The average education level of the respondents was 2.04, which is low. The respondents’ average self-rated health was 2.79.

Table 2 shows the regression results on the relationship of social trust and emotional health and the mediation effect of subjective well-being. The dependent variable in Models 1, 3, 4, 6, 7, and 9 was emotional health, and the dependent variable in Models 2, 5, and 8 was subjective well-being. Model 1 shows that trust in family members is significantly and positively associated with respondents’ emotional health (coefficient=0.194, P<0.01). Compared with male respondents, female respondents had significantly poorer emotional health (coefficient=-0.215, P<0.01). The higher the level of education, the better was the reported emotional health of the respondents (coefficient=0.045, P<0.05). The worse the self-rated health of the respondents, the more likely they were to suffer from poor emotional health (coefficient=-0.298, P<0.01). Model 2 shows that trust in family members had a significant positive effect on the subjective well-being of the respondents (coefficient=0.177, P<0.01). Older, high-income, and well-educated respondents were more likely to report higher subjective well-being than younger, low-income, and less-educated respondents (coefficient=0.017, P<0.01; coefficient=0.015, P<0.05; coefficient=0.035, P<0.10; respectively). Respondents with poor health were more likely to have lower subjective well-being (coefficient=-0.191, P<0.01).

Models 4 and 5 show that trust in friends was significantly and positively associated with respondents’ emotional health and their subjective well-being (coefficient=0.097, P<0.01; coefficient=0.174, P<0.01; respectively). Models 7 and 8 show that trust in neighbours was significantly and positively associated with respondents’ emotional health and their subjective well-being (coefficient=0.088, P<0.01; coefficient=0.177, P<0.01; respectively). In terms of the influence of demographic factors, the regression results of Models 4 and 7 are similar to those of Model 1, and the regression results of Models 5 and 8 are similar to those of Model 2.

We followed Baron and Kenny [38] to test the presence of mediation effects of subjective well-being. Figure 2 shows the results of Model 3, indicating that adding the variable of subjective well-being to Model 1 weakened the effect of trust in family members on emotional health from coefficient=0.194 to coefficient=0.171. Figure 3 shows that after adding the subjective well-being variable into Model 4, the impact of trust in friends on the emotional health of the respondents decreased by 0.022. Figure 4 shows that after adding the subjective well-being variable into model 7, the impact of trust in neighbours on the emotional health of the respondents decreased by 0.023. These results suggest that subjective well-being can effectively reduce the impact of social trust (in family, friends, and neighbours) on the emotional health of rural older respondents. 

Table 3 shows the regression results of the mediation effect of subjective social status on the relationship between social trust and emotional health. Model 10 shows that trust in family members had no significant effect on respondents’ subjective social status. Model 12 and 14 show that trust in friends and trust in neighbours had significant positive effects on respondents’ subjective social status (coefficient=0.120, P<0.05; coefficient=0.090, P<0.10; respectively).

We also followed Baron and Kenny [38] to test the presence of mediation effects of subjective social status. Figure 5 shows that after adding the subjective social status variable into Model 4, the impact of trust in friends on the emotional health of the respondents decreased by 0.004. Figure 6 shows that after adding the subjective social status variable into Model 7, the impact of trust in neighbours on the emotional health of the respondents decreased by 0.004. These results suggest that subjective social status can effectively reduce the impact of social trust (in friends and neighbours) on the emotional health of the elderly.

In terms of demographic factors, Model 10 shows that age, marital status, annual personal income, education level, and self-rated health had significant influence on the subjective social status of the respondents. Among them, the older the respondents, the higher was their subjective social status (coefficient=0.022, P<0.01). Compared with the single respondents, the married or cohabitating respondents had significantly higher subjective social status (coefficient=0.845, P<0.05). Respondents with a higher level of annual personal income and education also had a higher subjective social status (coefficient=0.034, P<0.05; coefficient=0.111, P<0.01), while respondents with poor health had relatively poor subjective social status (coefficient=-0.290, P<0.01). Models 15 and 17 show similar results. 

Moderation effects of subjective well-being and subjective social status on the relationship between social trust and emotional health of older adults

Table 4 shows the regression results of the moderation effects of subjective well-being and subjective social status on the relationship between social trust and emotional health. The results from Model 16 show that both subjective well-being and subjective social status have significant effect on rural older respondents’ emotional health. Model 17 and Figure 7 show that the positive relationship between trust in family members and emotional health was weakened by subjective well-being, but subjective social status had no moderating effect on the relationship between social trust and emotional health.

Discussion

Few previous studies have compared the effects of different types of social trust on the mental health of the rural elderly [39, 40]. The present findings fill this research gap. We analysed the effects of social trust on the emotional health of the rural elderly, including their trust in family, friends, and neighbours. The results indicate that trust in family had the greatest impact on the emotional health of the elderly, followed by trust in friends, and then, trust in neighbours. This result can be considered as a ‘differential pattern’ (chaxu geju) [41] in the emotional health of the elderly in rural China. This is a pattern of difference in the relationship between social trust and emotional health, in which family members provide the greatest emotional support to the elderly in rural China. Although the rapid economic development and modernisation process in the past few decades have had a profound impact on the social structure of China [42], for those over 60 years of age, the emotional support of traditional family relationships remains strong [43]. A family member’s support has important implications for the mental health of older persons. 

Subjective well-being and subjective social status are not only psychological states, but also have positive emotional health effects [44, 45]. This study found that subjective well-being and subjective social status have a certain protective effect on the emotional health of the rural elderly in China. Both can effectively reduce the degree of the impact of social trust on the emotional health of the rural elderly. Subjective well-being and subjective social status are the overall cognitive evaluation of one’s quality of life. Older people with higher degrees of happiness and social status have a stronger ability to cope with mental health risks, and they may have a stronger ability to make social interactions less likely to affect their emotional health. A higher quality of life can also enable older people to overcome depression more quickly. In addition, social status is related to social capital or social resources that one has or can use [46]. Older people with higher subjective social status may have more social resources to mitigate the impact of external factors on their emotional health. In China, the happiness and socio-economic status of the rural elderly will continue to decline with increasing age and the deterioration of their physical health. What is concerning is that the subjective social status of the elderly in rural China is generally low. The rural elderly who think they are at the bottom of society may have more serious emotional problems when they encounter a crisis of trust. Giving the elderly a higher social status and quality of life is very important for their life quality and emotional health. 

China is fast becoming an aging society; with the huge urban-rural development gap [47], the rural elderly group has become disadvantaged as it has been neglected for a long time. The protection of the mental health of the rural elderly population has become increasingly important. Based on the above findings, we propose policy recommendations in the following four aspects. First, only by giving the rural elderly the opportunity to continue to contribute to society can they maintain their social status in society. It is increasingly urgent to improve the well-being and social status of the elderly. When they retire or return from the city to the countryside after losing labour owing to age, most rural elderly are left without the channels and opportunities that can help them continue developing their talents. As the number of elderly people continues to increase, China must accelerate the development of the silver economy, and encourage elderly people to find suitable jobs and ensure the quality of life. Second, maintaining harmonious family relationships has an important impact on the emotional health of the rural elderly. Faced with the increasing generational separation of family members [48], the Chinese society should advocate the integrity of the family (especially urban-rural migrant families that have been separated [29]), so that the rural elderly could get emotional support from their family members immediately when they may need it. Third, the Chinese government should urgently address the mental health of the rural elderly and improve the social welfare system in rural China. In China, the lifestyle of many elderly people is very monotonous, and there is no opportunity for them to work or continue to meaningfully participate in society after retirement [49, 50]. It is crucial to provide the elderly with more opportunities to participate in social activities in order to alleviate elderly depression. Fourth, community mental health services are a shortcoming of China’s health services. It is necessary to establish a community-based mental health service system to allow more elderly people to receive formal and direct mental health support.

In terms of research limitations, first, owing to limited data, this study did not compare and analyse the emotional health of the rural elderly population of different age groups, but there may be some differences in the emotional health and the factors affecting emotional health of elderly residents of different age groups (middle-aged, elderly, and elderly). Second, although in this study the number of family members living together did not have a significant impact on the emotional health of the elderly, for the elderly in China, the family is still a very important source of emotional support. For example, in intergenerational families, a harmonious relationship between grandparents and grandchildren can provide important emotional support to the elderly [29]. Third, there are significant gender differences in terms of the emotional health of the rural elderly. Gender equality is a major social issue faced by China, especially in case of the rural elderly. The health needs and social status protection of rural elderly people belonging to different genders warrant further research. 

Conclusion

This study found that trust in family members, friends, and neighbours each has a significant positive effect on the emotional health, subjective well-being, and social status of the rural elderly in China. Subjective well-being and subjective social status play a significant mediating role in the relationship between social trust and the emotional health of the rural elderly. The positive relationship between trust in family members and emotional health is weakened by subjective well-being, but subjective social status has no moderating effect on the relationship between social trust and emotional health of the rural elderly. This study suggests that family relationships play an important role in maintaining the emotional health of the elderly in rural China. In response to the increase in the aging population in China, social policies to care for the rural elderly and help them live a happy and decent life must be urgently introduced.

List Of Abbreviations

CLDS - China Labor-force Dynamics Survey

CES-D - Center for Epidemiologic Studies Depression Scale

Declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable. 

Availability of data and materials

Data used in this study were derived from the 2016 wave of the China Labor-force Dynamics Survey (CLDS 2016), which was conducted by the Center for Social Survey of Sun Yat-sen University. The opinions in this paper are those of the authors.

Competing interests

The authors declare that they have no competing interests.

Funding

The National Natural Science Foundation of China (No. 51908114) supported this work. This work was also supported by Scientific Research Foundation for Advanced Talents of Nanjing Forestry University (No. 163106041). 

Authors' contributions

HC conceived and designed this study. HC and ZZ performed the statistical analysis. HC and ZZ drafted and revised the manuscript. All authors read and approved the final manuscript. 

Acknowledgements

Not applicable

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Tables

Table 1. Descriptive statistics of the variables used in the analysis (n = 2084)

variables

Mean (SD)/Percentage

Emotional health (1-5)

4.22 (SD=1.02)

Trust in family members (1-5)

4.82 (SD=0.48)

Trust in friends (1-5)

4.35 (S=0.71)

Trust in neighbors (1-5)

3.95 (SD=0.79)

subjective well-being (1-5)

3.77 (SD=0.90)

Subjective social status (1-10)

4.24 (SD=1.76)

Age (>=60 years old)

65.23 (SD=1.76)

Marital status (%)

 

Single

0.91

Married or cohabit

92.08

Widowed or divorced

7.01

Number of family members living together

5.05 (SD=2.52)

Work status (%)

 

In work

94.24

Out of work

5.76

Annual personal income (yuan)

11889.3 (SD=19037.3)

Gender (%)

 

Male

61.13

Female

38.87

Educational level (1-9)

2.04 (SD=1.01)

Self-rated health (1-5)

2.79 (SD=1.02)

Table 2. The relationship of social trust and emotional health and the mediation effects of subjective well-being

 

Trust in family members

Trust in friends

Trust in neighbors

 

Model 1: emotional health

Model 2: subjective well-being

Model 3: emotional health

Model 4: emotional health

Model 5: subjective well-being

Model 6: emotional health

Model 7: emotional health

Model 8: subjective well-being

Model 9: emotional health

 

Coefficient

S.E.

Coefficient

S.E.

Coefficient

S.E.

Coefficient

S.E.

Coefficient

S.E.

Coefficient

S.E.

Coefficient

S.E.

Coefficient

S.E.

Coefficient

S.E.

Trust in family members

0.194***

(0.043)

0.177***

(0.040)

0.171***

(0.043)

                       

Trust in friends

           

0.097***

(0.030)

0.174***

(0.027)

0.075**

(0.030)

           

Trust in neighbors

                       

0.088***

(0.027)

0.177***

(0.024)

0.065**

(0.027)

subjective well-being

       

0.131***

(0.024)

       

0.132***

(0.024)

       

0.131***

(0.024)

Age

0.005

(0.005)

0.017***

(0.004)

0.002

(0.005)

0.005

(0.005)

0.017***

(0.004)

0.003

(0.005)

0.005

(0.005)

0.017***

(0.004)

0.002

(0.005)

marital status (ref: single)

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

married or cohabit

0.093

(0.220)

0.234

(0.201)

0.063

(0.219)

0.078

(0.221)

0.198

(0.200)

0.052

(0.219)

0.083

(0.221)

0.202

(0.200)

0.057

(0.219)

widowed or divorced

0.063

(0.232)

0.094

(0.212)

0.051

(0.231)

0.042

(0.233)

0.053

(0.211)

0.035

(0.231)

0.040

(0.233)

0.043

(0.211)

0.034

(0.231)

Number of family members living together

-0.006

(0.008)

-0.011

(0.008)

-0.005

(0.008)

-0.006

(0.008)

-0.009

(0.008)

-0.004

(0.008)

-0.006

(0.008)

-0.008

(0.008)

-0.005

(0.008)

work status (ref: in work)

-0.068

(0.090)

-0.015

(0.082)

-0.066

(0.089)

-0.082

(0.090)

-0.036

(0.082)

-0.077

(0.090)

-0.078

(0.090)

-0.030

(0.082)

-0.074

(0.090)

(log) annual personal income

0.003

(0.008)

0.015**

(0.007)

0.001

(0.008)

0.002

(0.008)

0.014**

(0.007)

0.000

(0.008)

0.002

(0.008)

0.014**

(0.007)

0.000

(0.008)

Female (ref: male)

-0.215***

(0.047)

0.037

(0.043)

-0.220***

(0.047)

-0.208***

(0.047)

0.044

(0.043)

-0.214***

(0.047)

-0.206***

(0.047)

0.048

(0.043)

-0.213***

(0.047)

educational level

0.045**

(0.023)

0.035*

(0.021)

0.041*

(0.022)

0.045**

(0.023)

0.035*

(0.020)

0.041*

(0.022)

0.045**

(0.023)

0.035*

(0.020)

0.040*

(0.022)

Self-rated health

-0.298***

(0.021)

-0.191***

(0.019)

-0.273***

(0.021)

-0.296***

(0.021)

-0.180***

(0.019)

-0.273***

(0.021)

-0.298***

(0.021)

-0.181***

(0.019)

-0.274***

(0.021)

_cons

3.729***

(0.443)

1.953***

(0.406)

3.474***

(0.443)

4.239***

(0.413)

2.038***

(0.375)

3.971***

(0.413)

4.319***

(0.406)

2.097***

(0.367)

4.045***

(0.406)

N

2084

2084

2084

2084

2084

2084

2084

2084

2084

R-sq

0.132

0.076

0.144

0.128

0.085

0.140

0.128

0.090

0.140

adj. R-sq

0.127

0.071

0.140

0.123

0.080

0.136

0.124

0.086

0.135

Log lik.

-2840.335

-2654.713

-2825.309

-2845.088

-2644.319

-2830.070

-2845.022

-2638.266

-2830.282

Coefficient is unstandardized. Standard errors in parentheses. * p<0.10, ** p<0.05, *** p<0.01.

Table 3. The regression results of mediation effects of subjective social status on the relationship between social trust and emotional health

 

Trust in family members

Trust in friends

Trust in neighbors

 

Model 1: emotional health

Model 10: subjective social status

Model 11: emotional health

Model 4: emotional health

Model 12: subjective social status

Model 13: emotional health

Model 7: emotional health

Model 14: subjective social status

Model 15: emotional health

 

Coefficient

S.E.

Coefficient

S.E.

Coefficient

S.E.

Coefficient

S.E.

Coefficient

S.E.

Coefficient

S.E.

Coefficient

S.E.

Coefficient

S.E.

Coefficient

S.E.

Trust in family members

0.194***

(0.043)

0.118

(0.078)

0.190***

(0.043)

                       

Trust in friends

           

0.097***

(0.030)

0.120**

(0.054)

0.093***

(0.030)

           

Trust in neighbors

                       

0.088***

(0.027)

0.090*

(0.048)

0.084***

(0.027)

subjective social status

       

0.037***

(0.012)

       

0.037***

(0.012)

       

0.037***

(0.012)

Age

0.005

(0.005)

0.022***

(0.008)

0.004

(0.005)

0.005

(0.005)

0.022***

(0.008)

0.004

(0.005)

0.005

(0.005)

0.022***

(0.008)

0.004

(0.005)

marital status (ref: single)

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

married or cohabit

0.093

(0.220)

0.845**

(0.399)

0.062

(0.220)

0.078

(0.221)

0.820**

(0.399)

0.048

(0.220)

0.083

(0.221)

0.830**

(0.399)

0.052

(0.220)

widowed or divorced

0.063

(0.232)

0.685

(0.421)

0.038

(0.232)

0.042

(0.233)

0.657

(0.421)

0.018

(0.233)

0.040

(0.233)

0.660

(0.421)

0.016

(0.233)

Number of family members living together

-0.006

(0.008)

0.005

(0.015)

-0.006

(0.008)

-0.006

(0.008)

0.007

(0.015)

-0.006

(0.008)

-0.006

(0.008)

0.006

(0.015)

-0.006

(0.008)

work status (ref: in work)

-0.068

(0.090)

0.151

(0.163)

-0.073

(0.090)

-0.082

(0.090)

0.137

(0.163)

-0.087

(0.090)

-0.078

(0.090)

0.142

(0.163)

-0.083

(0.090)

(log) annual personal income

0.003

(0.008)

0.034**

(0.014)

0.001

(0.008)

0.002

(0.008)

0.034**

(0.014)

0.001

(0.008)

0.002

(0.008)

0.034**

(0.014)

0.001

(0.008)

Female (ref: male)

-0.215***

(0.047)

-0.020

(0.086)

-0.214***

(0.047)

-0.208***

(0.047)

-0.015

(0.086)

-0.208***

(0.047)

-0.206***

(0.047)

-0.013

(0.086)

-0.206***

(0.047)

educational level

0.045**

(0.023)

0.111***

(0.041)

0.041*

(0.023)

0.045**

(0.023)

0.111***

(0.041)

0.041*

(0.023)

0.045**

(0.023)

0.110***

(0.041)

0.041*

(0.023)

Self-rated health

-0.298***

(0.021)

-0.290***

(0.038)

-0.288***

(0.021)

-0.296***

(0.021)

-0.282***

(0.038)

-0.286***

(0.021)

-0.298***

(0.021)

-0.286***

(0.038)

-0.287***

(0.021)

_cons

3.729***

(0.443)

1.708**

(0.804)

3.667***

(0.443)

4.239***

(0.413)

1.745**

(0.747)

4.176***

(0.413)

4.319***

(0.406)

1.916***

(0.734)

4.249***

(0.406)

N

2084

2084

2084

2084

2084

2084

2084

2084

2084

R-sq

0.132

0.048

0.135

0.128

0.049

0.131

0.128

0.049

0.132

adj. R-sq

0.127

0.043

0.131

0.123

0.045

0.127

0.124

0.044

0.127

Log lik.

-2840.335

-4081.161

-2835.724

-2845.088

-4079.822

-2840.526

-2845.022

-4080.557

-2840.388

Coefficient is unstandardized. Standard errors in parentheses. * p<0.10, ** p<0.05, *** p<0.01.

Table 4. The regression results of moderation effects of subjective well-being and subjective social status on the relationship between social trust and emotional health

 

Model 16: emotional health

Model 17: emotional health

 

Coefficient

S.E.

Coefficient

S.E.

Subjective well-being

0.115***

(0.025)

0.806***

(0.188)

Subjective social status

0.021*

(0.012)

0.064

(0.128)

Trust in family members

0.152***

(0.047)

0.369**

(0.166)

Trust in friends

0.007

(0.040)

0.134

(0.166)

Trust in neighbors

0.037

(0.034)

0.287**

(0.140)

Age

0.002

(0.005)

0.003

(0.005)

marital status (ref: single)

 

 

 

 

married or cohabit

0.039

(0.219)

0.046

(0.218)

widowed or divorced

0.026

(0.231)

0.032

(0.230)

Number of family members living together

-0.004

(0.008)

-0.003

(0.008)

work status (ref: in work)

-0.073

(0.089)

-0.069

(0.089)

(log) annual personal income

0.000 (0.00002)

(0.008)

-0.000 (-0.0003)

(0.008)

Female (ref: male)

-0.217***

(0.047)

-0.205***

(0.047)

educational level

0.039*

(0.022)

0.038*

(0.022)

Self-rated health

-0.267***

(0.022)

-0.265***

(0.021)

Trust in family members # Subjective well-being

   

-0.087**

(0.043)

Trust in friends # Subjective well-being

   

-0.000 (-0.00003)

(0.044)

Trust in neighbors # Subjective well-being

   

-0.072*

(0.037)

Trust in family members # Subjective social status

   

0.018

(0.027)

Trust in friends # Subjective social status

   

-0.034

(0.023)

Trust in neighbors # Subjective social status

   

0.005

(0.019)

_cons

3.386***

(0.446)

0.793

(0.844)

N

2084

2084

R-sq

0.146

0.155

adj. R-sq

0.140

0.147

Log lik.

-2822.860

-2811.344

Coefficient is unstandardized. Standard errors in parentheses. * p<0.10, ** p<0.05, *** p<0.01.