Beliefs and Mental Health in Today s China: A Study of Rural Adults

Research Article

Austin J Public Health Epidemiol. 2024; 11(1): 1159.

Beliefs and Mental Health in Today’s China: A Study of Rural Adults

Jie Zhang, PhD1,2; Yilin Ye, MA1

1Central University of Finance and Economics, China

2State University of New York Buffalo State University, USA

*Corresponding author: Jie Zhang, PhD Central University of Finance and Economics, China. Email: zhangj@buffalostate.edu

Received: April 15, 2024 Accepted: May 16, 2024 Published: May 23, 2024

Abstract

Background and the aim of the study: The relationship between beliefs and mental health of the Chinese people has been understudied. There are basically three types of beliefs in China today: religion, folk belief, and political belief. Religion is not a mainstream social value in China, where folk belief is more popular than religion, and the political belief in the Chinese Communist Party (CCP) has a position in the Chinese belief system. This study aims to look into the disparities in mental health among the three types of believers.

Methods: Data for study were from China Family Panel Studies (CFPS) of 2018, which had a total of 14,499 Chinese adults (males = 7,245 and females = 7,254) aged 16 years and over. Beliefs were in three categories, and mental health was measured by CES-D (Center for Epidemiological Studies – Depression).

Findings: The believers of a religion were more depressed than non-believers of religion. The Chinese folk believers were also found more depressed than no-believers. On the other hand, the political believers such as the Chinese Communist Party (CCP) members were less likely to be depressed than non-members of the CCP.

Conclusion: The Chinese belief system is different from what is found in the West. The spectrum of beliefs in rural China is composed of religion, folk, and politics. With only about 3.16% of the population, religion is not as popular in China as in the West. Stereotype, stigma, prejudice, and discrimination can be explanations for the Chinese religious believers’ deviance. More people prefer to believe in folk beliefs due to their traditional culture. Unfortunately, the folk believers are not psychological healthy as much as those Chinese Communist Party (CCP) members. The Strain Theory is used to account for these observations.

Keywords: Chinese; Religion; Beliefs; Depression; The Strain Theory

Introduction

Mental health is a topic that we all must pay attention to, because it is closely related to each individual and even social stability. With the rapid development of economy, the accelerated pace of life, the dramatic social changes and the integration and collision of eastern and western cultures, people's mental health problems are increasingly prominent, and suicide behaviors caused by too much pressure and psychological problems are not uncommon. However, this topic has not attracted enough attention in China. Chinese people do not have enough understanding of depression and other mental and emotional disorders as well as suicide behavior. They are easy to be ignored in daily conversation and behavior, or even taboo. In this context, it has become an important responsibility to promote people's attention and understanding of mental health issues.

In addition, Chinese spiritual belief, especially religious beliefs, is not as popular as most western countries. In China, only a small number of people (15%) admit they are religious believers [25]. The true reason is the western religious market is exceedingly mobilized, whereas the Chinese religious market is seriously underdeveloped [19]. Furthermore, when studying the mental health problems of Chinese people, it is rare to include spiritual belief such as religion into the scope of independent variables to explain.

There have been many studies on mental health and public health in western countries, but this is developing slowly in China. Due to the different historical development, social structure and social culture of the East and the West, many phenomena and conclusions in the West are not fully applicable to China. Therefore, it is necessary to study the mental health of Chinese people based on the local theory and practice.

On people's mental health and its influencing factors, domestic and international scholars have carried out a number of discussions and researches from the aspects of socioeconomic status, population migration, survival pressure, social capital and spiritual belief.

In the study of urban vulnerable groups in China, the researcher has found that these groups, due to the relatively serious sense of deprivation and strong frustration, are likely to suffer mental illness, resulting in psychological inferiority, impatience, pessimism, disappointment or emotional instability and other negative effects and mental disorders [26]. Liu Dong has pointed out that there was a significant negative correlation between the structural constraints of the current urban social system and the mental health of the migrant population [12]. Someone have analyzed the main threats to the mental health of migrant workers from the perspectives of social and economic status, migration pressure and social capital [6]. Specifically, Lei et al. have found that there was a significant correlation between depression symptoms and self-education and per capita expenditure in the study of middle-aged and elderly people aged 45 and above, and the lower the socioeconomic status, the higher the degree of depression [9]. Qin et al. [13] have analyzed the data of CFPS 2012, and found that women, elderly groups and people living in the Midwest and rural areas are more likely to be depressed, and there are significant socioeconomic differences in mental health. The higher the level of education and income, the lower the possibility of depression [13].

In terms of people’s mental health and religious beliefs, most of the research results have showed that religious beliefs may be related to better mental health and do not directly cause the improvement of mental health level, but related activities such as prayer have the possibility of promoting mental health [1]; as the research conclusion of Stack and Lester said: Catholicism has nothing to do with suicidal ideation. In contrast, the higher the attendance rate of church, the lower the suicidal intention [18]. Similarly, Koenig and Larson have pointed out that many studies have shown that religious participation is often associated with greater well-being, less depression and anxiety [5].

Green and Elliott have compared the effects of religious beliefs on health and happiness. They evaluated the impact of religious beliefs on Residents' health and well-being, job satisfaction, economic status, etc. based on the data of the 2006 General Social Survey (GSS) in the United States. The results showed that religious people were healthier and happier regardless of religious beliefs, religious activities, work and family, social support, or financial status [4]. Elliott also found that the positive association does not always exist and in certain instances, religiosity is harmful to psychological well-being [2].

Some researchers have found that religious beliefs, spiritual maturity and self-transcendence can effectively predict mental health, including lower levels of depression, anxiety, obsessive-compulsive disorder, and higher levels of self-esteem, identity integration, moral self-recognition and the meaning of life. These conclusions are consistent with many previous studies that have found that religious beliefs are related to better psychological state and positive social psychological function [15]. Son and Wilson have also proved that religious people have more psychological resources and better physical health, so religion has a long-term positive impact [16].

But in England, King has found people who profess spiritual beliefs in the absence of a religious framework are more vulnerable to mental disorder [8]. Furthermore, there exists finding that the stronger the spiritual or religious belief at baseline, the higher the risk of onset of depression [10]. It is same to most study conclusions of beliefs and mental health in China. A study has discussed the influence of religion and superstition on Chinese women's suicide intent from the perspective of socio-psychological traits, and has found that the higher the degree the religiosity and superstition on metempsychosis, the stronger the suicide intent Chinese women had [24]. Similarly, for rural women, believing in Christ may be the only hope and way to help them resist diseases and difficulties in daily life [14]. Zhang et al. have found that when exploring the relationship between religious beliefs and mental health of Chinese college students, religious believers of them tend to have higher self-esteem and social support than non-religious believers, but compared with atheist students, they are more likely to feel depressed and want to commit suicide [25]. Jia et al. have found that the prevalence of anxiety in the elderly with religious beliefs was higher than that in the elderly without religious beliefs, and the single net factor and multi-factor analysis were statistically significant [7]. In addition, there are more detailed studies on spiritual belief (religion and folk belief) and mental health in China. By exploring the relationship between College Students' spiritual belief and mental health, Song has concluded that spiritual belief has a certain role in mental health. Among them, supernatural belief has a positive effect on interpersonal sensitivity, obsession, depression and anxiety (Song, Jin, & Li, 2004). Li et al. has reached similar conclusions in the relevant research on postgraduates [11]. Religious and folk believers had higher depression and more suicidal ideation than did the CCP members [25]. The above shows that religious and folk beliefs do not protect believers when they are only the minority. So based on previous studies in the literature, we have done the following three hypotheses:

H1: In rural areas of China, religious believers are more likely than non-believers of religion to be depressed.

H2: In rural areas of China, folk believers are more likely than non-believers of folk beliefs to be depressed.

H3: In rural areas of China, the believers are more depressed than non-believers, except for the CCP members.

To sum up, in this study, we will use the data of CFPS 2018 to focus our vision on people over 16 years old in rural areas of China. Based on the experience summary of existing research, combined with the research theme and the characteristics of the database used, we will focus on exploring the relationship between the group's religious and other spiritual belief and mental health status, and use the Strain Theory of Suicide and Mental Disorder (Jie Zhang, 2005) to explain the research results and to verify the relationship between religious beliefs and mental health in China, an atheist country.

Methods and Procedures

Data Source

In this study, the national large sample data collected by China Family Panel Studies (CFPS) which is a national longitudinal general social survey project in 2018, administered by Peking University’s Institute of Social Science Survey (ISSS). CFPS focuses on both the economic and non-economic well-being of the Chinese people, covering substantive areas such as economic activities, educational attainment, family relationships and dynamics, population migration, and physical and mental health.

CFPS implemented its baseline survey in 2010 and continued full sample follow-up surveys every two years. The survey object of the project is all family members in 25 provinces / municipalities / autonomous regions in China (excluding Hong Kong, Macao, Taiwan, Xinjiang Uygur Autonomous Region, Tibet Autonomous Region, Qinghai Province, Inner Mongolia Autonomous Region, Ningxia Hui Autonomous Region, Hainan Province) representing 95% of the Chinese population. Therefore, although there are many ethnic minorities in China, and almost all of them have their long-held beliefs, which may lead to inconsistent conclusions with the general situation in other regions, the samples of these regions are not included in the database. So, there is no need to deal with this in a special way, nor will it affect the final results and conclusions.

The Inclusion and Exclusion Criteria

In the previous research on beliefs and mental health problems in China, it was found that suicide rate in rural areas is higher than that in cities [26]. Therefore, we select samples from rural areas, hoping to attract people's attention to mental health of rural Chinese. In the past, most of the research groups focused on rural women, the elderly and students and other vulnerable groups, but after China's reform and opening up, it quickly integrated into the wave of globalization. With the rapid development of economy and the dramatic changes of society, people are facing the changeable social environment, and the sources of life pressure are also increasing, and the mental health risks of all classes and age groups are likely to increase. Therefore, the research object cannot be limited by the previous research choice, and should pay attention to the mental health and its changes of various groups. So in this study, the over 16 years old population in rural China are included in the scope of analysis, to compare the specific performance of different groups in the risk of depression and whether there are differences.

In addition, in the past, the explanation of mental health disorders of Chinese mainly focused on socioeconomic status, intergenerational relations, population migration and social changes, ignoring the influence of people's beliefs, a cultural and spiritual factor. In the CFPS database, there are eight items about religious and folk beliefs, which can be discussed in-depth on beliefs and its details to make up for some shortcomings of previous studies.

The Variables

The dependent variable is the depression of rural Chinese over 16 years of age, which is mainly reflected by 8 items in CES-D scale. After testing, the scale has been proved to have good reliability and validity in Chinese rural population [21]. The scores of the 8 items are added as the total score of depression, and other variables were combined for statistical analysis.

The independent variables are various beliefs which include: "Do you believe in Buddha or Bodhisattva?" "Do you believe in immortals?" "Do you believe in Allah?" "Do you believe in God?"

"Do you believe in Jesus Christ?" "Do you believe in ancestors?" "Do you believe in ghosts?" "Do you believe in Fengshui?" and “Are you a member of the CCP?” They respectively represent belief in Buddhism, Daoism, Muslin, Catholics, Christianity, Ancestors, Ghost, Fengshui and the CCP.

The control variables are demographic information, which mainly include gender, age, marital status, physical health status, education level and total annual income.

Data Processing

Using the data of CFPS 2018, there are eight items in CES-D, including: "I feel depressed," "I feel hard to do anything," "My sleep is not good," "I feel lonely," "I feel sad," "I feel unable to continue my life," "I feel happy" and "I live happily." According to the actual situation, respondents are required to indicate the frequency of various feelings or behaviors in the past week. There are four options: almost none (less than a day), sometimes (1 to 2 days), often (3 to 4 days), most of the time (5 to 7 days). Their corresponding scores are respectively 1-4 points, and the total scores range from 1-32 points. Two of the positive items were coded in the opposite direction in order to be consistent with the logic of other items. CES-D scale is widely used in the test of depression degree in general population (Jie Zhang et al., 2017). The higher the score is, the stronger the depression is, that is to say, the worse the mental health is. Through Stata statistical software (version 15.0), t-test, analysis of variance, contingency table analysis, multiple linear regression model and other methods were used to process the data.

After processing the samples, a total of 14,499 samples were included in the analysis, all of which were 16-year-old and above population in rural areas. And the sex ratio was 1:1, the female code was 0, and the male code was 1.

The scores of 8 items of CES-D were added as a measure of depression, that is, dependent variable. The mean is (13.99 ± 4.16), the minimum is 6, and the maximum is 32. After using logarithm to transform variables, the distribution of the variables is approximately normal.

There are five categories of marital status: "Unmarried," "Married (with spouse)," "Cohabitation," "Divorced" and "Widowed." According to whether you have a spouse, "Married (with spouse)" and "Cohabitation" were listed as "Living with spouse," with a code of 1, and other status as "Living without spouse," with a code of 0. In terms of physical health status, "Extremely healthy," "Very healthy" and "Relatively healthy" were listed as "Healthy," recoded as 0, "Average healthy" as 1, and "Unhealthy" as 2. As the education level, it was coded as the following way: 0, no education; 1, illiterate/semiliterate; 2, primary school; 3, junior high school; 4, senior high school; 5, college; 6, university; 7, master. According to whether you are a CCP member, it can be divided into two categories: "the CCP member" and "non-CCP member," with the codes of 1 and 0 respectively. Each belief was divided into two categories according to "believe" and "not believe," which were recoded as 1 and 0 respectively. Recode "whether a member of a religious group" as 1= yes, 0= no. Eight items of religious and folk beliefs and "whether a member of a religious group" were added to obtain the continuous variable "belief level." Five religion items were added to obtain a variable "Religion," which were coded as 0, "non-believers of religion"; 1-5, "religious believers." Three folk items were added to obtain a variable "Folks," which were coded as 0, "non-believers of folk beliefs"; 1-5, "folk believers."

Results

Descriptive Presentation of the Sample

Table 1 illustrates the characteristic distribution of the samples for gender comparisons. We found that the distribution of male and female in all demographic information have a significant difference. Females in the sample tended to be unhealthy, low educational level and low income. Females are more likely to live with their spouses. In addition, the proportion of middle-aged people in the sample is relatively large, the vast majority have spouses, and most of them are in good physical condition and didn’t accept higher education.