Interpersonal Relations And Suicide Ideation In China

Zhang J; Jin S

Genet Soc Gen Psychol Monogr

Vol.124 No. 1 Feb.1998

Pp.79-94

Copyright by Genet Soc Gen Psychol Monogr


INTERPERSONAL RELATIONS AND SUICIDE IDEATION IN CHINA ABSTRACT. This study is an examination of the effects of interpersonal relations on suicide ideation in a national sample of 1,433 individuals from China. The effect of gender as well as Chinese-Western comparisons are also examined. Suicide ideation rates (defined as thinking about committing suicide) and rates for planned suicide were significantly lower than those in most U.S. samples; Chinese women consistently scored higher than men in both areas. LISREL path analyses indicated that interpersonal conflict had the greatest direct and total effect on suicide ideation, and social isolation was the weakest predictor among the three measures of interpersonal relations. A path model using the Chinese data calls into question Durkheim's social integration theory for predicting suicide. Findings are discussed in relation to Chinese culture. PREVIOUS RESEARCH ON SUICIDE IDEATION (defined as thinking about committing suicide) has addressed various correlates on both the social and individual levels. At the social structural level, most researchers have studied the effects of family, religion, and social support; at the individual psychological level, researchers have concentrated on the effects of depression and self-esteem. However, interpersonal relationships have not been adequately studied as an important social factor for predicting an individual's psychological well-being in relation to suicide ideation. In the current research, we examined several interpersonal factors in relation to suicide ideation. Interpersonal relations play a crucial role in determining an individual's psychological well-being. Most people are acutely aware that their relationships with others are important in shaping the nature of their lives. Klinger (1977) found that almost all U.S. respondents said that friends were important when asked, "What is it that makes your life meaningful?" In a U.S. study of interpersonal attraction using people of various ages, Berscheid (1985) found that "making and maintaining friendships" and "having positive, warm relationships" were very high priorities in making these people happy. Because good relations with people are associated with happiness, and because unhappiness (depression) predicts suicide ideation, a connection can be built between interpersonal relations and suicide ideation. Although few researchers have examined the impact of interpersonal relations on suicide ideation, many psychologists have examined the association between interpersonal relations and depression or self-esteem and between psychological well-being (such as depression and self-esteem) and suicide ideation. Results of studies investigating the impact of close relationships on mental health indicate a strong consensus that, in general, good relationships with other people have both preventive and ameliorative effects (Brickman et al., 1982; Dean & Lin, 1977; Suls, 1982). By testing an intervention model of constructive conflict resolution and cooperative learning with a sample of high school students in New York City, Zhang (1994) found that an improvement in interpersonal relations led to higher self-esteem, more positive attitudes toward life, and less depression or anxiety. Among patients with rheumatoid arthritis and osteoarthritis, Zautra, Burleson, Matt, Roth, and Burrows (1994) noticed that positive interpersonal events were inversely related to depression, whereas conflictual interpersonal events were directly correlated with higher levels of depression. Studies of the relationship between stress and depression, such as those just mentioned, have also consistently shown a correlation between the two events. However, as explained by Brown and Harris (1978), an important factor in the relationship between stress and depression is the amount of social support an individual has available when confronted with stressful events; individuals with one or several close friends are less likely to become depressed when experiencing stress (Brown & Harris, 1978). Links between psychological well-being and suicide ideation have been adequately addressed in the literature. Self-esteem reflects "people's evaluations of their own self-worth--that is, the extent to which they view themselves as good, competent, and decent" (Aronson, Wilson, & Akert, 1994, p. 20). As with psychological well-being, which is healthy, positive, and prosocial, self-esteem can be a buffer against suicide or suicide ideation, which is unhealthy, negative, and antisocial. Numerous studies have documented a negative relationship between self-esteem and suicide ideation (e.g., Brubeck & Beer, 1992; Cole, Protinsky, & Cross, 1992; de Man & Leduc, 1995; de Man, Leduc, & Labreche-Gauthier, 1993a, 1993b; Lester & Schaeffler, 1993; Lewinsohn, Rohde, & Seeley, 1994; Shagle & Barber, 1993, 1995). De Man, Leduc, and Labreche-Gauthier (1993b) found that adolescents with low self-esteem or weak internal locus of control are more inclined toward suicide ideation and are more likely to commit suicide. In a study of over 400 U.S. high school students, Cole et al. (1992) divided the respondents into groups with high and low risk of suicide and found that high-risk respondents reported significantly poorer quality friendships, lower self-esteem, and more life stress during the previous year. The strongest predictors of suicide attempts among another sample of U.S. high school students reported by Lewinsohn et al. (1994) included a history of past attempts, current suicide ideation or depression, a recent attempt by a friend, and low self-esteem. Suicide ideation in Beck's Depression Inventory (Beck, Ward, Mendelson, Mock, & Erbaugh, 1961) is simply an indicator that measures depression. Obviously there is a strong association between depression and suicide ideation when they are treated as two separate variables. Using Zuni adolescents, Howard-Pitney, LaFromboise, and Basil (1992) found, in a multiple regression analysis in which 12 other psychological and social factors were controlled, that depression is one of the best predictors of suicide ideation (r = .40). Yang and Clum (1994), who supplied an etiological model to a sample of Asian students, found that the standardized coefficient between depression and suicide ideation was .54, which is the highest coefficient in the model for predicting suicide ideation. Similarly, the de Man et al. study (1993a) of FrenchCanadian adolescents showed a correlation coefficient of .64 for depression and suicide ideation. Furthermore, the literature concerning the association between depression and suicide ideation published since 1990 shows that, in most of the multiple-factor models reviewed, depression was identified as the best single predictor of suicide ideation, with an average mean coefficient of .51 from nine multiple regression or bivariate analyses (Zhang, 1996). In contrast to the numerous studies of self-esteem and depression and their relationship to suicide ideation, there are few studies of interpersonal relations and their effects on suicide ideation. Furthermore, the notion of interpersonal relations has been represented in many different ways in the literature. Social support, as one indicator of interpersonal relations, largely embodies family support (Hirsch & Ellis, 1995) and community support (De Man & LabrecheGauthier, 1991), whereas social isolation (De Man, 1988) and interpersonal stressors (Duberstein, Conwell, & Caine, 1993) depict a negative aspect of human relations. The relationship between social support and suicide was originally established by Durkheim (1897/1951). In Durkheim's view, suicide ideation varies inversely with social integration--the extent to which an individual is close to family and community. Previous studies have supported Durkheim's proposition that the more social support a person receives from the family or community, the less he or she experiences suicide ideation (de Man & Labreche-Gauthier, 1991; de Man, Labreche-Gauthier, & Leduc, 1993; de Man & Leduc, 1995; Hirsch &Ellis, 1995; Howard-Pitney et al., 1992; Whatley & Clopton, 1992; Yang & Clum, 1994). On the other hand, interpersonal conflict (Meneese & Yutrzenka, 1990; Shagle & Barber, 1993), divorced parents (Brubeck & Beer, 1992; Hirsch & Ellis, 1995), interpersonal stress (Duberstein et al., 1993; Zautra et al., 1994), loneliness or social isolation (De Man, 1988; Rich, Kirkpatrick-Smith, & Bonner, 1992), and poor quality friendship or lack of interpersonal trust (Cole et al., 1992; Lester & Gatto, 1990) have all been shown to be positive correlates of suicide ideation. As a broad concept, interpersonal relations can be defined as either positive or negative. Negative interpersonal relations include difficulty in interactions, interpersonal conflict, and social isolation. To narrow the scope of the current study to a more manageable degree, we examined only the effects of negative interpersonal relations on suicide ideation. With three factors of negative interpersonal relations and two factors of social psychological status in a LISREL model (Figure 1), and based on previous literature, we hypothesized that 1. each of the aspects of negative interpersonal relations will have a positive effect on an individual's suicidal ideation; 2. the effects of the interpersonal relations on suicide ideation will be mediated by either depression or self-esteem; 3. among the three exogenous factors, interpersonal conflict will have a greater total effect On suicide ideation than interaction difficulty, and social isolation will have the weakest predictive power. DIAGRAM: FIGURE 1. The path model of interpersonal relations, psychological statuses, and suicide ideation (for the indicators measuring each factor, see Table 2). The arrow on each path line does not necessarily indicate a causal relation (as it usually does) because causal data were not available for the current research. Method Sample The data for this study were obtained through a newspaper survey from a national sample of 1,433 Chinese individuals from 29 provinces, municipalities, and autonomous regions. Originally, we intended to include all the 30 areas in China where the newspaper is circulated, but Tibet had to be omitted because no responses were received from there. Shandong Provice provided, the most responses (127), accounting for 8.9% of the total; Hainan provided the least (9), accounting for 0.6% of the total. The variance in population partially explains the difference in the number of responses from each area. Details of the response distributions from the 29 areas are available from the authors on request. The 50-item questionnaire was printed in the March 11, 1995, issue of Jiankang Bao (The Journal of Health), an official daily newspaper issued by the Chinese Ministry of Health with a nationwide circulation of 450,000. In the brief letter accompanying the questionnaire, readers were asked kindly to answer the questions by checking the most appropriate choice for each of the 50 items and then to mail it back to the editorial office of the newspaper in Beijing. The questionnaire took an average respondent about 10 min to complete. Respondents paid for the postage when they returned the questionnaire but were promised the research results as soon as they were available. Many readers of The Journal of Health were concerned about their health and were convinced that the results of the research would benefit people, including themselves. This was a major incentive for most respondents to cooperate with the data collection. Within a period of 2 months, more than 1,500 responses were received, of which 1,458 arrived before the deadline,. 1 month after the questionnaire was printed. Twenty-five responses received in time were excluded because they were incomplete or because responses appeared to have been checked arbitrarily. Thus, 1,433 responses were retained for analyses. Given that anonymity was assured and no sensitive or politically loaded questions were asked, responses were assumed to be valid. The demographic characteristics of the sample are reported in Table I. There were approximately the same number of men (50.9%) as women (49.1%) responding to and completing the survey, and the characteristics of the sample were not much different from those of the population in China. Measurement In addition to demographic questions and many other topics, the questionnaire included items on interpersonal relations, depression, self-esteem, and suicidal ideation (see Appendix). The measurement of interpersonal relations consisted of 22 items on the quality of a respondent's relationship with family members and colleagues rated on a 6-point scale ranging from strongly agree (6) to strongly disagree (1). There were also two direct questions on the frequency of interpersonal conflict during the past year. All 24 items were developed by the current authors based on their knowledge of human relations within the context of Chinese culture, politics, economy, and history. A factor analysis of the 24 items yielded six dimensions of interpersonal relations: relationship with spouse or lover, interaction difficulty, interpersonal conflict with family members or colleagues, social isolation, social support, and attitudes about human relations. The Appendix contains the English version of the 24 items. The three measures selected for our current research were difficulty in interactions (10, 11, 12, 13, and 16), interpersonal conflict (1, 2, and 7), and social isolation (17, 19, and 20). (The number for each variable in the parentheses is the actual number that appears in the questionnaire, and this rule is followed throughout this article.) Reliability tests yielded high coefficients for the three measures. The alpha values for difficulty in interactions, interpersonal conflict, and social isolation were .677, .660, and .597, respectively. We used the Center for Epidemiologic Studies-Depression Scale constructed by Radloff (1977) to measure depression, but of the 20 items of the original scale, we selected only 5 for the sake of brevity. The choice of the 5 was based on our previous experience with a Chinese college student sample, for which the reliability and validity of the 5 items measuring depression were adequately high (Zhang & Jin, 1996). The 5 items asked respondents how many days in I week they felt "bothered," "blue," "sad," "lonely," and "depressed." A factor analysis led us to remove "lonely" from the scale; thus, 4 items constituted the final scale on depression. A reliability test of the 4 items yielded an alpha coefficient of .914, indicating that the selected questions are good and reliable measures of depression for the Chinese sample. We measured self-esteem on a scale modified from Rosenberg's Self-Esteem Scale (Rosenberg, 1965). Respondents were asked to Comment on four descriptions about themselves: (a) "On the whole, I am satisfied with myself"; (b) "My mistakes outweigh my merits"; (c) "Most other people are better than I am"; and (d) "I don't have much confidence in my future." Instead of Rosenberg's original 4-point scale, a 6-point scale anchored by strongly agree and strongly disagree was used to increase variance. All but the first item were re-coded so that a higher value indicated higher self-esteem. The alpha coefficient for the scale was .691, a fairly high level of reliability for the four items to measure self-esteem in the Chinese sample. We measured suicide ideation with the same two items we used in our previous cross-cultural research on Chinese and U.S. college students' suicide ideation (Zhang & Jin, 1996). One item asked the respondents how many times during the past year they had thought about killing themselves, and the other asked how many times during the past year they had prepared or had planned to kill themselves. Answers to both questions ranged from never (coded as 1) to three or more than three times (coded as 4). The reliability test of the two items yielded an alpha value of .490. The means and standard deviations of all the variables used in the analysis are reported in Table 2. To ensure the accuracy and validity of the measurements on depression and self-esteem, we, along with several other bilingual psychologists in China, made a translation and back-translation of the items. Methods of Analyses We used linear structural equation analysis (LISREL VII; J[non ascii character]reskog & S[non ascii character]rborn, 1989) to test the theoretical model. As a combination of factor analysis and multiple regression, LISREL uses latent constructs in a path model. Because each construct in the model can be measured by multiple observed variables, accuracy in estimating the underlying relationships and constructs can be significantly enhanced. All of the latent constructs and their corresponding observed variables in the model are reported in Table 2. Results Suicide Ideation and Rates for Suicide Planning In response to the two questions about suicide ideation, 28.3% reported that they had thought about committing suicide at least once during the past year, whereas only 7.7% of the sample admitted having planned or prepared for a suicide. Obvious gender differences for the two variables existed: 22.2% of the men versus 34.7% of the women reported thinking about suicide at least once during the past year, and 4.9% of the men versus 10.9% of the women reported planning their suicides. Chi-square analyses of the effect of gender on the two ratings for suicide ideation indicated that gender was associated with thinking about or planning suicide (p < .001). Independent Variables in the Path Model Our major purpose in this study was to assess the effects of interpersonal relations on an individual's suicide ideation through psychological factors. Thus, linear structural equations analysis (LISREL VII) instead of multiple regression was used in the statistical procedure because two or more indicators were available for each factor used in the model. With more items measuring each latent variable, the model could be accurately tested. LISREL conducts a factor analysis of the variables that measure the different latent constructs and simultaneously assesses the coefficients of the measurement and structural models. Factor analysis focuses on a measurement model that specifies which variables are allowed to load on which factors and provides estimates of factor loadings and error variances for each of the measured variables. Results of the LISREL measurement are reported in Table 2. The squared multiple correlation coefficient (r2) indicates the percentage of variance in each variable represented by its latent construct. The r2 for suicidal ideation was .346, meaning that about 34% of variance in suicidal ideation was explained by the model. With an r2 of .461 for depression, we know that about 46% of the variance in depression was accounted for by its independent variables. Self-esteem had an r2 of .446, which indicates that about 45% of the variance in self-esteem was explained by its independent variables in the model. All the factor loadings (the lambdas in Table 2) were significant, and no adjustments were suggested by the analysis. LISREL provides several major approaches to test the measurement model. Chi-square analysis indicates the difference between the observed and the expected values, with a higher value indicating greater differences. Therefore, we hoped to find a small chi-square relative to the degrees of freedom to indicate that the theoretical model fit the data. For this model, the chi-square value was 603.99 with 174 degrees of freedom. For each degree of freedom, the chi-square value was only 3.47, which is small enough to indicate a good match of the model and data. sure of the relative amount of variance and covariance accounted for by the model and is independent of the sample size: The overall GFI between the model and the data indicates the closeness of the model to the data; the closer the value of GFI is to 1, the closer the model is to the data. In this model, we had a GFI of .957, which was another indication of the good fit of the model to the data. Root mean square residual (RMSR) is a measure of the average departure on each indicator of the model from the data. A smaller RMSR means smaller errors in the measurement. With a RMSR of .032 for this model, we know that, on average, about 3% of the unexplained variance attended each indicator. As can be seen from Figure 1, the theoretical model being tested consisted of three endogenous variables (depression, self-esteem, and suicidal ideation) and three exogenous variables (difficulty in interactions, interpersonal conflict, and social isolation). The figure also illustrates the results in terms of standardized regression coefficients in the path model. Coefficients of standardized solution were used because they allowed us to compare the strength of association for variables measured differently. All the standardized coefficients were significant at the .01 probability level. The R2s of the three endogenous variables were .461 for depression, .446 for self-esteem, and .346 for suicidal ideation. Although alternative models exist for explaining suicidal ideation in the Chinese sample, the current model adequately predicted the dependent variable, with about 35% of variance in suicidal ideation accounted for by the model. Among the three interpersonal relation factors, difficulty in interactions (.134) and interpersonal conflict (.488) had a direct and positive relationship to the frequency of suicide ideation, whereas the direct effect of social isolation on suicidal ideation did not exist. The more difficulties an individual had in interacting with family members and colleagues and the more conflicts in which he or she was engaged, the higher the level of suicide ideation. However, the effect of social isolation on suicide ideation materialized through the two psychological factors. People with high levels of social isolation were more likely to have high scores on depression (.100) and low scores on self-esteem (-. 105), whereas scores on depression were positively correlated (.218) and scores on self-esteem were negatively correlated (-.172) with the frequency of suicide ideation. Actually, all three measures of interpersonal relations predicted suicide ideation through one or both of the psychological measures. Although depression and self-esteem were both important correlates of suicide ideation, the former (.218) was a slightly stronger predictor than the latter (-. 172). Although difficulty in interactions and interpersonal conflict both affected suicide ideation positively by direct and indirect paths (depression and self-esteem), interpersonal conflict had a greater total effect than difficulty in interactions did. If the total effect of an independent variable can be calculated with direct effect plus indirect effect plus another indirect effect, with the correlation coefficients provided in Figure 1, we have the following results: 1. The total effect of difficulty in interactions on suicidal ideation through depression and self-esteem was .303. 2. The total effect of interpersonal conflict on suicidal ideation through depression was .570. 3. The total effect of social isolation on suicidal ideation through depression and self-esteem was .040. In general, all three hypotheses have been supported by the data, although some small modifications (described earlier) are noticeable. Discussion The suicide ideation and suicide planning rates (28.3% and 7.7%, respectively) in this study are similar to those found in earlier research (Zhang & Jin, 1996), in which a sample of Chinese college students was used, and in which the two rates were, respectively, 34.4% and 4.4%. The differences could be explained by at least two obvious reasons: the sample and the measurements. The characteristics of the college students surveyed for the previous study should be different from those of the general population used in the current study. According to what we know from U.S. studies, college students usually score higher than other populations on suicide ideation (Hirsch & Ellis, 1995; Neyra, Range, & Goggin, 1990; Rudd, 1989). The measurements for suicide ideation and planning in the two research projects are also different. In the previous survey, we asked "how many times.., in the past few years," whereas the phrase "in the past one year" was used in the current study. The suicide ideation and planning rates found in the current study are significantly lower than those found in most U.S. samples (Strang & Orlofsky, 1990; Wellman & Wellman, 1988; Zhang & Jin, 1996; Zhang & Thomas, 1991). We may attribute the lower rates to certain social factors in China. A higher level of social integration, a homogeneous and less anomic lifestyle, and a lower level of social competition are all plausible reasons. As found in the previous research (Zhang & Jin, 1996), the suicide ideation and attempt rates for women (34.7%, 10.9%) were higher than those for men (22.2%, 4.9%). This finding is also consistent with the results from studies by Saxon, Aldrich, and Kuncel (1978), Simons and Murphy (1985), and Salmons and Harrington (1984). This gender difference in Chinese suicide ideation is in accord with actual suicide rates in China. In a descriptive analysis of suicides in Beijing, China, from 1992 to 1993, Zhang (1996) reported that far more Chinese women committed suicide than Chinese men (55.4% vs. 44.6%), which is a surprising reverse of the gender difference found in almost all other countries. The higher rates for women for both ideation and completed suicides in China may be accounted for by the traditional Chinese culture. Generally, Chinese women have had lower status than Chinese men throughout history, especially with respect to family and marital issues. When problems arise, women are more likely to be blamed and held responsible for whatever caused the problems. Therefore, Chinese women may be more likely to feel depressed and helpless and think about suicide or go to extremes to solve a problem. Additional studies are needed to address the unique gender difference in Chinese suicide rates. The effects of interpersonal relations on suicide ideation have not been adequately studied in the past. The current research addresses this issue with three negative relational aspects in a path model. As illustrated in Figure 1, all the measures of interpersonal relations investigated in the model predict the frequency of suicide ideation significantly, and the predictive power varies from one to another. With all other independent variables kept constant, interpersonal conflict has proved to be the strongest predictor of suicide ideation, and social isolation is the weakest. In addition to the fact that social isolation is the poorest predictor among the three, it lacks a direct association with suicide ideation, and its relationships to depression and self-esteem are also weak (although significant). It is apparent that this finding does not strongly support Durkheim's (1897/1951) thesis that suicide varies inversely with social integration. If Durkheim were right, social isolation, that is, lack of social support, should be the strongest factor among the three to predict suicide ideation, because, in the current measurements, social isolation is closest to social support or social disintegration. In this model, in which a Chinese sample was used, interpersonal conflict and difficulty in interactions were strongly and positively related to suicide ideation, perhaps because of the importance of interpersonal relations in Chinese society. Negative relations with people can make a Chinese individual feel unhappy, uneasy, depressed, or bad about himself and even cause the individual to think about suicide. This response is perhaps more pronounced in Chinese culture. If "making and maintaining friendships" and "having positive, warm relationships" are the most important factors that make people happy (Berscheid, 1985), they are even more important for Chinese people. As the foundations of Chinese culture, Confucianism, Buddhism, and Taoism all emphasize the importance of building and maintaining positive human relations. Because of the cultural tradition and especially the political structure in the communist regime, guanxi (connections, influence, or a good relationship with people) has become the key to success for people in China. An informal observation indicates that ordinary Chinese people, who want to be successful at work have to spend about 50% to 70% of their time and energy dealing with relations with colleagues and bosses at work. For Chinese people, a good interpersonal relationship means much more than happiness. That interpersonal conflict and difficulty in interactions are more important than social isolation in predicting Chinese people's suicide ideation does not necessarily rule out Durkheim's thesis of social integration. However, few studies have been conducted for suicide and suicide ideation in China, and Durkheim's theory, which was developed in the West, may be inadequate in explaining the phenomenon in the East. More research is needed to test Durkheim's proposition for the Chinese population. Address correspondence to Jie Zhang, who is now at the Department of Sociology, SUNY College at Buffalo, Buffalo, NY 14222. E-mail: ZHANGJ@buffalostate. edu. TABLE 1 Demographic Characteristics of the Respondents Variable Valid cases Valid % Gender 1,417 100 Male 721 50.9 Female 696 49.1 Age (years) 1430 100 < 25 426 29.8 26-40 466 32.6 41-55 383 26.8 > 56 155 10.8 Residential area 1,423 100 Large city 244 17.1 Medium city 434 30.5 Small town 433 30.4 Village 312 21.9 Educational level 1,424 100 Junior high or less 171 12.0 High school 517 36.3 Two-year college 495 34.8 Four-year college 210 14.7 Graduate school 31 2.2 Occupation 1,428 100 Executive manager 86 6.0 Ordinary manager 162 11:3 Managing personnel 95 6.7 Professional 783 54.8 Staff 92 6.4 Worker 60 4.2 Retired 87 6.1 Other 63 4.4 Monthly income* 1,417 100 [yen]250 or lower 235 16.6 [yen]251-[yen]500 692 48.8 [yen]501-[yen]1,000 418 29.5 [yen]1,001-[yen]1,800 54 3.8 over [yen]1,800 18 1.3 Marital status 1,426 100 Single 448 31.4 Married 906 63.5 Separated 37 2.6 Divorced 29 2.0 Widowed 6 0.4 *The exchange rate in 1995 was approximately [yen]8.50 to USS1.00. TABLE 2 Squared Multiple Correlations Between the Latent Constructs and Their Observed Variables in the LISREL Model Latent construct/ [lambda] Observed variables M SD r2 t value Difficulty in interactions Uneasy (10) 3.6 1.8 .22 Unpleasant (11) 3.4 1.7 .28 12.48* Quarrel (12) 2.4 1.5 .27 12.33* Bias (13) 2.8 1.5 .50 14.19* Alert (16) 3.0 1.6 .24 11.95* Interpersonal conflict Conflict (1) 3.5 1.4 .39 Refusal (2) 3.8 1.4 .57 17.75* Stress (7) 2.1 1.4 .28 14.59* Social isolation Enjoy alone (17) 3.6 1.5 .24 More time alone (19) 3.8 1.7 .67 11.74* Little sharing (20) 3.6 1.7 .19 11.06* Self-esteem Merits (25) 4.7 1.5 .39 Better (26) 4.2 1.6 .38 16.42* Satisfied (27) 4.4 1.4 .33 15.55* Confident (28) 4.0 1.8 .39 16.49* Depression Bothered (29) 2.7 1.5 .72 Blues (30) 2.6 1.4 .73 38.32* Sad (31) 2.2 1.4 .75 39.11* Depressed (32) 2.6 1.5 .72 37.76* Suicide ideation Think (33) 1.6 1.0 .71 Plan (34) 1.1 .4 .28 12.98* Note. Each r2 indicates percentage of variance in each item represented by its latent construct. The items without a t value are reference variables. The numbers in parentheses are the actual numbers that appear in the questionnaire. *p < .01. REFERENCES Aronson, E., Wilson, T. D., & Akert, R. M. (1994). Social psychology: The heart and the mind. New York: HarperCollins. Beck, A. T., Ward, C. H., Mendelson, M., Mock, J., & Erbaugh, J. (1961). An inventory for measuring depression. Archives of General Psychiatry, 4, 53-63. Berscheid, E. (1985). Interpersonal attraction. In B. Lindzey & E. Aronson (Eds.), The handbook of social psychology (pp. 413-484). New York: Random House. Brickman, P., Rabinowitz, V. C., Karuza, J., Coates, D., Cohen, E., & Kidder, L. (1982). Models of helping and coping. American Psychologist, 37, 348-368. Brown, G., & Harris, T. (1978). Social origins of depression: A study of psychiatric disorders in women. New York: Free Press. Brubeck, D., & Beer, J. (1992). Depression, self-esteem, suicide ideation, death anxiety, and GPA in high school students of divorced and non-divorced parents. Psychological Reports, 71, 755-763. Cole, D. E., Protinsky, H. O., & Cross, L. H. (1992). An empirical investigation of adolescent suicidal ideation. Adolescence, 27, 813-818. De Man, A. F. (1988). Suicide ideation, stress, social support, and personal variables in French-Canadians: A structural analysis of relationships. Journal of Social Behavior and Personality, 3(1), 127-134. De Man, A. E, & Labreche-Gauthier, L. (1991). Suicide ideation and community support: An evaluation of two programs. Journal of Clinical Psychology,47(1), 57-60. De Man, A. E, Labreche-Gauthier, L., & Leduc, C. P. (1993). Parent-child relationships and suicidal ideation in French-Canadian adolescents. The Journal of Genetic Psychology, 154, 17-23. De Man, A. F., & Leduc, C. P. (1995). Suicidal ideation in high school students: Depression and other correlates. Journal of Clinical Psychology, 51, 173-181. De Man, A. F., Leduc, C. P., & Labreche-Gauthier, L. (1993a). Correlates of suicidal ideation in French-Canadian adolescents: Personal variables, stress, and social support. Adolescence, 28, 819-830. De Man, A. F., Leduc, C. P., & Labreche-Gauthier, L. (1993b). A French-Canadian scale for suicide ideation for use with adolescents. Canadian Journal of Behavioral Science, 25, 126-134. Dean, A., & Lin, N. (1977). The stress buffering role of social support. Journal of Nervous and Mental Disease, 165(2), 403-413. Duberstein, P. R., Conwell, Y., & Caine, E. D. (1993). Interpersonal stressors, substance abuse, and suicide; Journal of Nervous & Mental Disease, 181(2), 80-85. Durkheim, E. (1951). Suicide: A study in sociology; New York: Free Press; (Original work published 1897) Hirsch, J., & Ellis, J. B. (1995); Family support and other social factors precipitating suicidal ideation. The International Journal of Social Psychiatry, 41, 26-30 Howard-Pitney, B., LaFromboise, T. D., & Basil, M. (1992). Psychological and social indicators of suicide ideation and suicide attempts in Zuni adolescents. Journal of Consulting and Clinical Psychology, 60, 473-476. J[non ascii character]reskog, K. G., & S[non ascii character]rbom, D. (1989). LISREL VII. Mooresville, IN: Scientific Software. Klinger, E. (1977); Meaning and void: Inner experience and the incentives in people's lives. Minneapolis: University of Minnesota Press. Lester, D., & Gatto, J. L. (1990). Interpersonal trust, depression, and suicidal ideation in teenagers. Psychological Reports, 67, 786 Lester, D., & Schaeffler, J. (1993). Self-defeating personality, depression, and suicidal ideation in adolescents. Psychological Reports, 73, 113-114. Lewinsohn, P.M., Rohde, P., & Seeley, J. R. (1994). Psychosocial risk factors for future adolescent suicide attempts; Journal of Consulting & Clinical Psychology, 62, 297-305 Meneese, W. B., & Yutrzenka, B. A. (1990). Correlates of suicidal ideation among rural adolescents; Suicide and Life-Threatening Behavior, 20(3), 206-212. Neyra, C., Range, L., & Goggin, W. (1990); Reasons for living following success and failure in suicidal and nonsuicidal college students. Journal of Applied Social Psychology, 20, 861-868 Radloff, L. S. (1977). The CES-D scale: A self-report depression scale for research in the general population. Applied Psychological Measurement, 1, 385-401. Rich, A. R., Kirkpatrick- Smith, J., & Bonner, R. L. (1992). Gender differences in the psychosocial correlates of suicidal ideation among adolescents. Suicide and Life-Threatening Behavior, 22, 364-373. Rosenberg, M. (1965). Society and the adolescent self-image. Princeton, NJ: Princeton University Press Rudd, M.D. (1989); The prevalence of suicidal ideation among college students. Suicide and Life-Threatening Behavior, 19, 173-183. Salmons, P. H., & Harrington, R. (1984); Suicidal ideation in university students and other groups. The International Journal of Social Psychiatry, 30, 201-205. Saxon, S., Aldrich, S. Y., & Kuncel, E. E. (1978). Suicide and drug abuse. In D. J. Lettieri (Ed.), Drugs and suicide: When other coping strategies fail. Beverly Hills, CA: Sage. Shagle, S.C., & Barber, B. K. (1993). Effects of family, marital, and parent-child conflict on adolescent self-derogation and suicidal ideation. Journal of Marriage and the Family, 55, 964-974. Shagle, S.C., & Barber, B. K. (1995). A social-ecological analysis of adolescent suicidal ideation. American Journal of Orthopsychiatry, 65, 114-124. Simons, R. L., & Murphy, P. I. (1985). Sex differences in the causes of adolescent suicide ideation. Journal of Youth and Adolescence, 14, 423-434. Strang, S. P., & Orlofsky, J. L. (1990). Factors underlying suicidal ideation among college students: A test of Teicher and Jacobs' model. Journal of Adolescence, 13, 39-52. Suls, J. (1982). Social support, interpersonal relations and health: Benefits and liabilities. In G. Sanders & J. Suls (Eds.), The social psychology of health and illness (pp. 255-277). Hillsdale, NJ: Erlbaum. Wellman, R. J., & Wellman, M. M. (1988). Correlates of suicide ideation in a college population. Social Psychiatry and Psychiatric Epidemiology, 23, 90-95. Whatley, S. L., & Clopton, J. R. (1992). Social support and suicidal ideation in college students. Psychological Reports, 71, 1123-1128. Yang, B., & Clum, G. A. (1994). Life stress, social support, and problem-solving skills predictive of depressive symptoms, hopelessness, and suicide ideation in an Asian student population: A test of a model. Suicide and Life-Threatening Behavior, 24, 127-139. Zautra, A., Burleson, M. H., Matt, K., Roth, S., & Burrows, L. (1994). Interpersonal stress, depression, and disease activity in rheumatoid arthritis and osteoarthritis patients. Health Psychology, 13(2), 139-148. Zhang, J. (1996). Suicides in Beijing, China, 1992-1993. Suicide and Life-Threatening Behavior, 26, 175-180. Zhang, J., & Jin, S. (1996). Determinants of suicide ideation: A comparison of Chinese and American college students. Adolescence, 31, 451-467. Zhang, J., & Thomas, D. L. (1991). Familial and religious influences on suicidal ideation. Family Perspective, 25, 301-321. Zhang, Q. (1994). An intervention model of constructive conflict resolution and cooperative learning. Journal of Social Issues, 50(1), 99-I 16. APPENDIX The English Translation of the Interpersonal Relation Items (presented in the order in which they appeared in the questionnaire) 1. How many times in the past year have you had direct conflicts with family members and/or colleagues? 2. How many colleagues and/or family members have you rejected in your own mind (without telling them) during the past year? 3. I have the very same understanding of life and life interests that my spouse (or lover) has. 4. I trust my spouse (or lover). 5. I depend on my spouse (or lover) emotionally. 6. My spouse and I have harmonious sexual relations. 7. I have a stressful relationship with my family members. 8. I often feel lonely even though I live among family members and colleagues. 9. I get along well with my colleagues. 10. I often feel uneasy because of my poor relationships with family members and col-leagues. 11. I am always in a bad mood for a long time after I have disagreements with colleagues. 12. It is easy for me to engage in a quarrel with others. 13. I feel that many people are biased against me. 14 Whenever I face pressures in life, I feel that there are always people offering me moral support. 15. I find it easy to make friends and maintain friendships. 16. I am always on the alert against hurts from others. 17. I have more fun when I am alone than when I am with other people. 18. I feel that nobody truly loves me. 19. I spend more time alone than with others. 20. I seldom share with others the frustration and difficulties in my heart. 21. The members of my family are really concerned about each other. 22. When it is necessary, I can rely on my family to overcome difficulties. 23. I feel that as time has passed, people have become distant from each other. 24. I feel that as time has passed, my interactions with other people have become more and more difficult. The first two questions (1 and 2) required respondents to answer on a scale ranging from 0 to 4 or more. All other questions were answered on a scale with six choices: strongly agree (6), agree (5), agree to some extent (4), disagree to some extent (3), disagree (2), or strongly disagree (1). Received February 21, 1997 ~~~~~~~~ By JIE ZHANG and SHENGHUA JIN Department of Sociology and Anthropology; Georgia Southern University Department of Psychology; Beijing Normal University, China -------------------