What Makes Super‐Aged Nations Happier? Exploring Critical Factors of Happiness Among Middle‐Aged Men and Women in Japan

DOIhttp://doi.org/10.1002/wmh3.256
Date01 March 2018
Published date01 March 2018
What Makes Super-Aged Nations Happier? Exploring
Critical Factors of Happiness Among Middle-Aged Men
and Women in Japan
Yoko Moriyama , Nanako Tamiya, Nobuyuki Kawachi, and Maya Miyairi
This study aimed to examine multiple factors associated with happiness from the perspective of
gender difference among a middle-aged Japanese population. A total of 865 participants (male ¼344,
female ¼521) aged 40–64 years were divided into two groups (high and low) by their self-reported
level of happiness. Logistic regression analysis by gender was carried out. In men, high levels of
happiness were signif‌icantly correlated with living with spouse, occupation, enough sleep, leading a
normal life, and regular checkups; while low levels of happiness were signif‌icantly correlated with
smoking and having two or more diseases. In women, low levels of happiness were signif‌icantly
correlated with caring for a family member. Our data suggested that the factors relevant to
happiness levels might vary between men and women among middle-aged people in Japan. To
increase the nation’s level of happiness, the Japanese government must implement extended social
services and policymaking, to alleviate caregivers’ burdens, especially among Japanese women.
KEY WORDS: happiness, subjective well-being, gender policy, middle-age, family caregiver
Introduction
Health factors related to well-being such as happiness have been used as an
index to evaluate positive outcomes of individuals’ lives in many countries. The
Kingdom of Bhutan was the f‌irst country to formally adopt individuals’
happiness as its principal goal, labeling it “Gross National Happiness (GNH),”
and this idea has inf‌luenced some developed countries such as France and the
United Kingdom (Bok, 2010). Furthermore, the Organization for Economic
Cooperation and Development (OECD) has recommended assessing national
well-being alongside more traditional economic measures to help governments
create an innovative policy that improves the lives of its citizens (OECD, 2013a,
2013b, 2014). France’s report by the “Commission on the Measurement of
Economic Performance and Social Progress” also stated that “national statistical
agencies should incorporate questions on subjective well-being in their standard
World Medical & Health Policy, Vol. 10, No. 1, 2018
83
doi: 10.1002/wmh3.256
#2018 The Authors. World Medical & Health Policy Published by Wiley Periodicals, Inc. on behalf of Policy Studies Organization
This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License,whichpermitsuse
and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations ar e made.
surveys to capture people’s life evaluations, hedonic experiences and life
priorities” (Stiglitz, Sen, & Fitoussi, 2008). Thus, higher levels of happiness have
been recognized as a positive health factor that improves a sense of well-being,
sleep quality, and general work productivity.
Using happiness as a health index has become a common method to assess the
progress of nations effectively. Measurement of subjective well-being (SWB) has
been identif‌ied as a recommended evaluation tool for well-being (OECD, 2013b;
The Commission on Measuring Well-Being, Japan, 2011). Generally speaking, the
SWB consists of two main components: (i) the cognitive component includes
an individual’s life satisfaction such as evaluations of one’s life according to
subjectively determined standards and (ii) the affective component is likely to
associate with psychological factors for one’s own situation or health (Diener,
1984; Schimmack, Radhakrishnan, Oishi, & Dzokoto, 2002). Each country or local
government measures various aspects of well-being. Despite increased awareness
of well-being as an important life quality, the most recent trend among Japanese
citizens has illustrated lower levels of SWB than other countries (Diener, Helliwell,
& Kahneman, 2010; OECD, 2013a; The Commission on Measuring Well-Being,
Japan, 2011), especially the affective dimension was lower relative to the cognitive
dimension such as life satisfaction in Japan (Ohtake, Shiraishi, & Tsutsui, 2010).
The Gallup-Healthways State of Global Well-Being (2014) Country Well-Being
Rankings, which measure well-being across f‌ive elements (purpose, social,
f‌inancial, community, and physical) ranked Japan 92nd out of 145 countries.
While Japan ranked 11th for f‌inancial well-being, the other four categories of
well-being were far lower (87th, 127th, 86th, and 135th, respectively). The World
Happiness report using the Cantril Self-Anchoring Striving Scale (Cantril, 1965)
measuring SWB also ranked Japan 51st out of 155 countries (Helliwell, Layard, &
Sachs, 2017). Furthermore, the World Database of Happiness, which assesses life-
satisfaction by means of surveys in general population samples, ranked Japan
62nd out of 158 countries (Veenhoven, n.d.). Although these rankings focused on
evaluating cognitive dimensions such as life satisfaction as a happiness index, it
is unknown whether Japan might rank worse if measuring affective dimension
such as happiness. To address this concern, the Japanese government has begun
placing greater value on well-being as an assessment tool and conducting
research on well-being at the Cabinet Off‌ice of Japan, which set up a Commission
on Measuring Well-Being in 2010 (The Commission on Measuring Well-Being,
Japan, 2011). Three main purposes of this commission were: (i) to make indicators
from subjective and objective well-being and examine levels of happiness and
factors affecting happiness, (ii) to utilize the SWB for policymaking, and (iii) to
make evidence to discuss policy from the view of happiness of not only
individuals but also community (Uchida & Ogihara, 2012).
Many factors have been examined as determinants of SWB including genes,
personality, age, gender, income, and relationships (Centers for Disease Control
and Prevention, 2016) and of these factors, age and gender play particularly
important roles in determining levels of SWB. Gender differences signif‌icantly
play critical roles on determining levels of happiness. For example, biological
84 World Medical & Health Policy, 10:1

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