Title |
Laughter is the Best Medicine? A Cross-Sectional Study of Cardiovascular Disease Among Older Japanese Adults
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Published in |
Journal of Epidemiology, March 2016
|
DOI | 10.2188/jea.je20150196 |
Pubmed ID | |
Authors |
Kei Hayashi, Ichiro Kawachi, Tetsuya Ohira, Katsunori Kondo, Kokoro Shirai, Naoki Kondo |
Abstract |
We sought to evaluate the associations between frequency of daily laughter with heart disease and stroke among community-dwelling older Japanese women and men. We analyzed cross-sectional data in 20 934 individuals (10 206 men and 10 728 women) aged 65 years or older, who participated in the Japan Gerontological Evaluation Study in 2013. In the mail-in survey, participants provided information on daily frequency of laughter, as well as body mass index, demographic and lifestyle factors, and diagnoses of cardiovascular disease, hyperlipidemia, hypertension, and depression. Even after adjustment for hyperlipidemia, hypertension, depression, body mass index, and other risk factors, the prevalence of heart diseases among those who never or almost never laughed was 1.21 (95% CI, -1.03-1.41) times higher than those who reported laughing every day. The adjusted prevalence ratio for stroke was 1.60 (95% CI, 1.24-2.06). Daily frequency of laughter is associated with lower prevalence of cardiovascular diseases. The association could not be explained by confounding factors, such as depressive symptoms. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 6 | 14% |
United States | 5 | 12% |
Poland | 3 | 7% |
Taiwan | 3 | 7% |
Japan | 3 | 7% |
Saudi Arabia | 1 | 2% |
Spain | 1 | 2% |
Unknown | 21 | 49% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 31 | 72% |
Scientists | 5 | 12% |
Practitioners (doctors, other healthcare professionals) | 5 | 12% |
Science communicators (journalists, bloggers, editors) | 1 | 2% |
Unknown | 1 | 2% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 93 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 15 | 16% |
Researcher | 8 | 9% |
Student > Master | 8 | 9% |
Other | 6 | 6% |
Professor | 5 | 5% |
Other | 11 | 12% |
Unknown | 40 | 43% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 20 | 22% |
Nursing and Health Professions | 10 | 11% |
Social Sciences | 8 | 9% |
Psychology | 7 | 8% |
Biochemistry, Genetics and Molecular Biology | 2 | 2% |
Other | 5 | 5% |
Unknown | 41 | 44% |