Social capital and perceived health in Japan: An ecological and multilevel analysis☆
Introduction
The association between social capital and health has been examined in nearly a dozen industrial and developing countries in North America, Western and Eastern Europe, and Australia (De Silva et al., 2006, Islam et al., 2006, Kawachi et al., 2004, Macinko and Starfield, 2001). However, few studies have been conducted in northeastern Asian countries thus far; in particular, studies in Japan have remained sparse. It is unclear whether the concept of social capital, which has been primarily developed in Western contexts, can be applied to the Asian context.
Social capital, a concept that originated in early 20th century social science (Putnam, 2000, Putnam, 2002), has been defined as broadly as “those tangible substances count for most in the daily lives of people” (Hanifan, 1916, p. 130). Later academics, such as Jane Jacobs (1961) and Glenn C. Loury (1977), used the term social capital to describe specific social phenomena tin their analyses, but it was not until the 1980s that the term was fully developed by two renowned sociologists: James S. Coleman and Pierre Bourdieu. Coleman adapted the rational choice theory and, based on methodological individualism, employed “social capital” as the missing link necessary to analyze complex social phenomena at the macro level (Coleman, 1988, Coleman, 1990). Bourdieu analyzed the concept of “capital” in several aspects and employed the concept of social capital to refine his theory of hierarchal social structure (Bourdieu, 1980, Bourdieu, 1986).
Although these academics and theorists crystallized the concept of social capital, political scientist R. Putnam popularized it and prompted debates about the concept. His idea of social capital was developed based on approximately 20 years of study in Italy, and he adapted his understanding of social capital to analyze American society. The core of his social capital concept was that social capital is a characteristic of social networks, though he defined social capital in several ways, such as “features of social organization, such as trust, norms, and networks, that can improve the efficiency of society by facilitating coordinated actions” (Putnam, 1993, p. 167) and “connections among individuals - social networks and the norms of reciprocity and trustworthiness that arise from them” (Putnam, 2000, p. 19).
With respect to health-related fields, the theory of social capital has been characterized by an imbalance of perspectives rather than a lack of consensus (Moore, Shiell, Hawe, & Haines, 2004). However, other researchers have suggested that there are in fact two theories of social capital in public health research, a theory of social cohesion and a theory of social networks, but that these two theories are not mutually exclusive (Kawachi, 2006). In other words, social capital can be divided into two dimensions:structural social capital and cognitive social capital. Structural social capital refers to what people do (e.g., associational links, networks), which can be objectively verified, and cognitive social capital refers to what people feel (e.g., social cohesion, trust), which can be subjectively verified (Harpham, 2008). Some studies have demonstrated that these two dimensions may have different effects on health outcomes (De Silva, McKenzie, Harpham, & Huttly, 2006).
The term “social cohesion” was coined and developed by Richard G. Wilkinson to explain the relationship between income inequality and population health (Wilkinson, 1996). In fact, he used this concept interchangeably with social capital and has not clearly shown the difference between these two concepts. However, as Kawachi pointed out, the concept of social cohesion bears similarities to the concept of social capital, but the notion of social capital includes an aspect of “community cohesiveness,” i.e., the social context in which people lead their lives (Kawachi & Kennedy, 1997). Kawachi therefore implied that social cohesion is an attribute of social capital (Kawachi, 2006). Thus, in the present study, we conceptualize social cohesion as an aspect of each of the two dimensions of social capital: the cohesive and cognitive dimensions.
Meanwhile, the literature has not yet clearly indicated whether social capital has any impact on health in Japanese society. At the individual and ecological levels, some evidence has been presented for associations among cognitive social capital, participation, and self-rated health in the Japanese population (Fujisawa et al., 2007, Fujisawa et al., 2004). Moreover, other studies conducted in certain parts of Japan, such as the Aichi region, showed associations between the social capital index and health in a specific age group (Ichida, Yoshikawa, Hirai, Kondo, & Kobayashi, 2005). Although these studies indicated certain implications for the importance of the association between social capital and health in some contexts, it remains unclear whether social capital, particularly community-based social capital, is a determinant of health in Japanese society and whether Western-derived measures of social capital can be applied to Japanese culture.
To the best of our knowledge, no previous study has clearly reported on the impact of cognitive social capital, especially of the cohesive dimension, on health outcomes at the community level for Japan as a whole, although evidence of the impact of cognitive social capital on health outcomes in specific areas and age groups has been shown (Ichida, 2007). For these reasons, in the present study, we used a multilevel perspective to explore new evidence pertaining to whether cognitive social capital at the community level is a determinant of health in the whole of Japanese society.
Section snippets
Survey instrument and variables
We conducted a nationally representative survey based on a two-stage stratified random sample. We stratified the population by region and the population size of municipalities. Japan's municipalities were distributed among 11 regional zones, and the municipalities in each zone were categorized into 3 types according to their population size (1. cities with populations of 100,000 or more; 2. cities with populations of less than 100,000; 3. rural districts). If a municipality was one of the 14
Ecological-level analysis
Table 1 provides a summary of the data for the analysis. The total number of individual observations from 206 communities was 1157. At the ecological level, we aggregated from the individual responses to the community level, using the average or rate in each community.
Table 2 provides the result of our ecological regression model. Household income at this ecological level showed a statistically significant association with GH (β = 0.155, p = 0.041). However, age, sex, and educational attainment did
Discussion
To the best of our knowledge, this is the first study examining the association between social capital and health in Japan as a whole. The results of the analyses of the same data using two different statistical models revealed significant associations between social capital and health. That is, our findings showed that cognitive social capital has an impact on health not only in Western societies but also in Asian societies. Nonetheless, the results in Table 2 indicated that these models had a
Conclusion
In this article, our findings added to the literature by providing a further investigation of social capital as a contextual determinant of health not only in Japan, but also in the Asian context. It should be noted that much of the empirical evidence has originated from the English-speaking Western world thus far. Thus, current understandings of l relationship between social capital and health may not be generalizable. Our findings also pointed to the need for more sophisticated social capital
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The authors appreciate the research committee members, especially Professor Yoshihiko Yamazaki and Professor Hiroshi Ishida, for helpful comments. The research committee funded by JSPS Grant-in-Aid for Scientific Research (A) (No.14201018; Principle investigator, Shogo Takegawa) developed the date sets and this article was a part of outcomes of the research activities funded by MEXT Grant-in-Aid for Young Scientists (A) (No.18683004; Principle investigator, Yoshikazu Fujisawa).