Association between Religion and Health in China: Using Propensity Score Matching Method
The association between religion and health is well debated and receives continuous attention in research. Selection bias is often a major concern among the observatory data routinely used worldwide to examine this topic. Adopting the propensity score matching (PSM) method, the present study tries t...
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| Published in: | Religions |
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| Main Authors: | , , , , , |
| Format: | Articles |
| Published: |
2020
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| Subjects: | |
| Online Access: | View article (DOI: 10.3390/rel11010037) |
| _version_ | 1877637432270127104 |
|---|---|
| author | Zhang, Jing H. Zhang, Haomin Liu, Chengkun Jiang, Xiaoyang Zhang, Hongmin Iwaloye, Ojo |
| author_autocomplete | Zhang, Jing H. Zhang, Haomin Liu, Chengkun Jiang, Xiaoyang Zhang, Hongmin Iwaloye, Ojo |
| author_browse | Iwaloye, Ojo Jiang, Xiaoyang Liu, Chengkun Zhang, Haomin Zhang, Hongmin Zhang, Jing H. |
| author_facet | Zhang, Jing H. Zhang, Haomin Liu, Chengkun Jiang, Xiaoyang Zhang, Hongmin Iwaloye, Ojo Zhang, Jing H. Zhang, Haomin Liu, Chengkun Jiang, Xiaoyang Zhang, Hongmin Iwaloye, Ojo |
| author_sort | Zhang, Jing H. |
| container_issue | 1 |
| container_issue_str | 1 |
| container_title | Religions |
| container_title_str | Religions |
| container_volume | 11 |
| container_volume_str | 11 |
| description | The association between religion and health is well debated and receives continuous attention in research. Selection bias is often a major concern among the observatory data routinely used worldwide to examine this topic. Adopting the propensity score matching (PSM) method, the present study tries to assess the treatment effects of religion on self-reported health status. The final sample from the 2007 Spiritual Life Study of Chinese Residents (SLSC) contains 6194 valid responses. The average treatment effects (ATEs) estimated by the PSM method show that respondents with religious affiliations are on average significantly more likely to report being very healthy by 5.2 percentage points (by 3.6 and 9.6 percentage points among Buddhists and Protestants), especially, by 16.2 percentage points among those regarding religion as being very important in their lives. Meanwhile, ATEs of religion on reporting being very happy is 17.0 among Protestants and 13.4 among those regarding religion with high importance and 11.3 among those with “regular religious attendance”. |
| doi_str_mv | 10.3390/rel11010037 |
| first_indexed | 2026-09-29T04:00:29Z |
| format | Articles |
| genre | Articles |
| genre_facet | Articles |
| id | zotero-TRJQNPFW |
| institution | zotero_group |
| issn | 2077-1444 |
| last_indexed | 2026-09-29T04:00:29Z |
| latest_content_date | 2026-09-29T04:00:29Z |
| physical | 37 |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| record_format | zotero |
| spelling | Association between Religion and Health in China: Using Propensity Score Matching Method The association between religion and health is well debated and receives continuous attention in research. Selection bias is often a major concern among the observatory data routinely used worldwide to examine this topic. Adopting the propensity score matching (PSM) method, the present study tries to assess the treatment effects of religion on self-reported health status. The final sample from the 2007 Spiritual Life Study of Chinese Residents (SLSC) contains 6194 valid responses. The average treatment effects (ATEs) estimated by the PSM method show that respondents with religious affiliations are on average significantly more likely to report being very healthy by 5.2 percentage points (by 3.6 and 9.6 percentage points among Buddhists and Protestants), especially, by 16.2 percentage points among those regarding religion as being very important in their lives. Meanwhile, ATEs of religion on reporting being very happy is 17.0 among Protestants and 13.4 among those regarding religion with high importance and 11.3 among those with “regular religious attendance”. Religions Articles 2020 China health propensity score matching religion self-selection Zhang, Jing H. Zhang, Haomin Liu, Chengkun Jiang, Xiaoyang Zhang, Hongmin |
| spellingShingle | Association between Religion and Health in China: Using Propensity Score Matching Method Zhang, Jing H. Zhang, Haomin Liu, Chengkun Jiang, Xiaoyang Zhang, Hongmin Iwaloye, Ojo China health propensity score matching religion self-selection |
| title | Association between Religion and Health in China: Using Propensity Score Matching Method |
| title_autocomplete | Association between Religion and Health in China: Using Propensity Score Matching Method |
| title_full | Association between Religion and Health in China: Using Propensity Score Matching Method |
| title_fullStr | Association between Religion and Health in China: Using Propensity Score Matching Method |
| title_full_unstemmed | Association between Religion and Health in China: Using Propensity Score Matching Method |
| title_short | Association between Religion and Health in China: Using Propensity Score Matching Method |
| title_sort | association between religion and health in china: using propensity score matching method |
| topic | China health propensity score matching religion self-selection |
| topic_autocomplete | China health propensity score matching religion self-selection |
| topic_facet | China health propensity score matching religion self-selection |