Literature DB >> 29980539

Impact of social relationships on income-laughter relationships among older people: the JAGES cross-sectional study.

Yurika Imai1, Masato Nagai1,2,3, Tetsuya Ohira1,4, Kokoro Shirai5, Naoki Kondo6,7, Katsunori Kondo8,9.   

Abstract

OBJECTIVES: Laughter has a positive and quantifiable effect on certain aspects of health, and previous studies have suggested that income influences the emotion. However, it is unknown whether social relationship-related factors modify the association between equivalised income and laughter among older people. In the present study, we examined the relationship between equivalised income and the frequency of laughter. In addition, we examined the impact of social relationship-related factors on the association between equivalised income and frequency of laughter using a cross-sectional study design.
DESIGN: Cross-sectional study and binomial regression analysis.
SETTING: We sampled from 30 municipalities in Japan. PARTICIPANTS: We examined 20 752 non-disabled Japanese individuals aged ≥65 years using data from the Japan Gerontological Evaluation Study. PRIMARY OUTCOME: Frequency of laughter.
RESULTS: Laughter increased significantly with an increase in equivalent income (p for trend <0.0001). Prevalence ratios (PR) for laughing almost every day were calculated according to quartile equivalised income after adjusting for age, instrumental activities of daily living, depression, frequency of meeting friends, number of social groups and family structure. The results revealed that PRs in Q4 (men; ≥€24 420, women; ≥€21 154) were 1.21 (95% CI 1.13 to 1.30) among men and 1.14 (95% CI 1.08 to 1.20) among women, as compared with Q1 (men; <€12 041, women; <€9518), respectively. After excluding participants with depression, the association remained significant. In addition, we found inadequate social relationships and living alone were associated with a lower frequency of laughter. In comparison with the lowest equivalent income with meeting friends less frequently and living alone, the PRs of the highest equivalent income with meeting friends frequently and living with someone were higher, respectively.
CONCLUSIONS: The results revealed a significant relationship between equivalent income and the frequency of laughter. Social relationships and family structure were also associated with the frequency of laughter. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Entities:  

Keywords:  Japan; equivalised income; laughter; older people; social relationships

Mesh:

Year:  2018        PMID: 29980539      PMCID: PMC6042575          DOI: 10.1136/bmjopen-2017-019104

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


  38 in total

1.  [Laughter, the brain, and psychiatric diseases].

Authors:  A Shimizu
Journal:  Seishin Shinkeigaku Zasshi       Date:  2001

2.  Laughter counteracts enhancement of plasma neurotrophin levels and allergic skin wheal responses by mobile phone-mediated stress.

Authors:  Hajime Kimata
Journal:  Behav Med       Date:  2004       Impact factor: 3.104

3.  High income improves evaluation of life but not emotional well-being.

Authors:  Daniel Kahneman; Angus Deaton
Journal:  Proc Natl Acad Sci U S A       Date:  2010-09-07       Impact factor: 11.205

4.  Socioeconomic pathways to depressive symptoms in adulthood: evidence from the National Longitudinal Survey of Youth 1979.

Authors:  Amélie Quesnel-Vallée; Miles Taylor
Journal:  Soc Sci Med       Date:  2011-12-09       Impact factor: 4.634

5.  Antiphonal laughter between friends and strangers.

Authors:  Moria Smoski; Jo-Anne Bachorowski
Journal:  Cogn Emot       Date:  2003-03

6.  Increase in dermcidin-derived peptides in sweat of patients with atopic eczema caused by a humorous video.

Authors:  Hajime Kimata
Journal:  J Psychosom Res       Date:  2007-01       Impact factor: 3.006

7.  Gender differences on the impacts of social exclusion on mortality among older Japanese: AGES cohort study.

Authors:  Masashige Saito; Naoki Kondo; Katsunori Kondo; Toshiyuki Ojima; Hiroshi Hirai
Journal:  Soc Sci Med       Date:  2012-05-14       Impact factor: 4.634

8.  A trial of improvement of immunity in cancer patients by laughter therapy.

Authors:  Yoshinori Sakai; Kazue Takayanagi; Mitue Ohno; Rumiko Inose; Hideomi Fujiwara
Journal:  Jpn Hosp       Date:  2013-07

9.  Laughter elevates the levels of breast-milk melatonin.

Authors:  Hajime Kimata
Journal:  J Psychosom Res       Date:  2007-06       Impact factor: 3.006

10.  Funny science: review: ha! The science of when we laugh and why and the humor code: a global search for what makes things funny.

Authors:  Robert R Provine
Journal:  Cerebrum       Date:  2014-07-14
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  4 in total

1.  Effects of a laughter program on body weight and mental health among Japanese people with metabolic syndrome risk factors: a randomized controlled trial.

Authors:  Narumi Funakubo; Eri Eguchi; Rie Hayashi; Mayumi Hirosaki; Kokoro Shirai; Kanako Okazaki; Hironori Nakano; Fumikazu Hayashi; Junichi Omata; Hironori Imano; Hiroyasu Iso; Tetsuya Ohira
Journal:  BMC Geriatr       Date:  2022-04-23       Impact factor: 4.070

2.  Associations of Frequency of Laughter With Risk of All-Cause Mortality and Cardiovascular Disease Incidence in a General Population: Findings From the Yamagata Study.

Authors:  Kaori Sakurada; Tsuneo Konta; Masafumi Watanabe; Kenichi Ishizawa; Yoshiyuki Ueno; Hidetoshi Yamashita; Takamasa Kayama
Journal:  J Epidemiol       Date:  2019-04-06       Impact factor: 3.211

3.  Does variety of social interactions associate with frequency of laughter among older people? The JAGES cross-sectional study.

Authors:  Masato Nagai; Tetsuya Ohira; Kokoro Shirai; Katsunori Kondo
Journal:  BMJ Open       Date:  2021-01-07       Impact factor: 2.692

4.  Does Laughter Predict Onset of Functional Disability and Mortality Among Older Japanese Adults? The JAGES Prospective Cohort Study.

Authors:  Yudai Tamada; Kenji Takeuchi; Chikae Yamaguchi; Masashige Saito; Tetsuya Ohira; Kokoro Shirai; Katsunori Kondo
Journal:  J Epidemiol       Date:  2020-11-21       Impact factor: 3.211

  4 in total

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