Assessing the Level of Happiness: a Review of Russian and Foreign Research

Shmatova, Yuliya; Morev, Mikhail

doi:10.15838/esc/2015.3.39.11

Cited by 9 publications

(6 citation statements)

References 4 publications

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“…There is a growing interest in the study of the subjective phenomenon of happiness [1] in the world. The tendency of modern science is a desire for a quantitative expression of the studied society characteristics and a simultaneous appeal to those sides of life that the exact quantitative analysis traditionally ignores [1]. Happiness is one of these society characteristics [1,2].…”

Section: Introductionmentioning

confidence: 99%

“…The tendency of modern science is a desire for a quantitative expression of the studied society characteristics and a simultaneous appeal to those sides of life that the exact quantitative analysis traditionally ignores [1]. Happiness is one of these society characteristics [1,2]. For the first time in Bhutan, it was suggested that the Happiness Index, rather than GDP, be given greater importance [3].…”

Section: Introductionmentioning

confidence: 99%

“…According to Shmatova and Morev [1], the issue of the connection between happiness and income remains open. There is no information on the incidence and the dietary patterns in countries with different Happiness Index.…”

Section: Introductionmentioning

confidence: 99%

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Ecological Determinants of the Happiness Index, Life Expectancy, Incidence and Dietary Patterns in Different Countries

Radkevich¹,

Радкевич²

2018

J Obes Chronic Dis

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There is a growing interest to the Happiness Index in the world. Purpose of this study is an analysis of the impact of income, UV and latitude on the Happiness Index, incidence and dietary patterns in different countries. Using the Mann-Whitney criterion, it is established that income is 20 times higher in happy countries, and their geographic location is 35 ° to the north of not happy countries (p = 0.001). In the happy countries people live 27 years longer, more rarely suffer from cardiovascular diseases, diabetes and asthma (p = 0.001), more often suffer from oncological diseases, Alzheimer›s disease and alcoholism (p = 0.001). The diet in happy countries contains more animal products and alcoholic beverages (p = 0.001). The Happiness Index, life expectancy, frequency of cardiovascular diseases, Alzheimer's disease, breast and prostate cancer, and dietary patterns depend on the Income (p = 0.001). The frequency of alcoholism, diabetes, asthma, lung and stomach cancer depend on latitude and UV (p = 0.001). The Happiness Index and dietary patterns do not depend on latitude and UV. Income, latitude and UV have irrespective effects on the country performance. The results can be used for disease prevention.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Ecological Determinants of the Happiness Index, Life Expectancy, Incidence and Dietary Patterns in Different Countries

Radkevich¹,

Радкевич²

2018

J Obes Chronic Dis

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“…Замена ВВП категорией «валового национального счастья» (Gross National Happiness) впервые была предпринята в Бутане и подразумевала измерение качества жизни в балансе между материальным и духовным. Само это понятие было введено еще в 1972 году королем Бутана Джигме Сингье Вангчуком [9] (Shmatova, Morev, 2015). Бутан является единственной страной, которая приняла валовое национальное счастье вместо ВВП в качестве основного показателя развития.…”

Section: субъективные показатели благосостоянияunclassified

Оценка Благосостояния С Позиции Устойчивого Человеческого Развития: Возможности Международных Индексов

Анатольевна¹,

Вячеславовна²

2018

Russian Journal of Innovation Economics

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The article considers the possibility of using international indices to assess well-being, based on the identification of economic, environmental and social components, from the perspective of sustainable human development. Sixteen international indices serving as alternative measures of assessment of the level of well-being are analyzed. The comparative analysis of indices carried out by the authors is based on such key requirements as a strict relationship with well-being, the choice of significant indicators, the reliability and availability of data, the possibility of cross-country comparison. All indices are grouped into three blocks: core/target indicators used to measure well-being; subjective indicators of well-being; indicators of sustainable human development. The article substantiates the need to measure wellbeing, taking into account not only the prospects of the basic needs of society, but also the prospects of opportunities, taking into account the data of different information space, without missing the beauty of the search for human-environmental relations within each dimension.

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“…For the first time in Bhutan, it has been proposed to give more importance to the Happiness Index rather than GDP [8]. In modern science, when assessing happiness, there is a desire to combine a quantitative analysis of the characteristics of society with a traditionally inaccurate analysis [9]. The happiness index is calculated according to several parameters (GDP, life expectancy, ecology, life satisfaction and many others [10].…”

Section: Introductionmentioning

confidence: 99%

Happy People in the World Live 25 Years Longer Than Unhappy People and are Less Likely to Suffer from Cardio Pathologies

Radkevich¹

2021

OJCRR

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Aims: Investigated risk factors for cardiovascular diseases in countries with high and low Happiness Index in 158 countries in 2004. Methods:Mann-Whitney U-test and Linear Multiple Regression Analysis (LMA) ; GBD 2004; FAO 1990 FAO -2005 databases. Results:In countries with a high Happiness Index -group 1 (62 ± 8 versus 23 ± 5), income was 4 times higher, quality of life, health care was 3 times higher, and life expectancy by 23 years (p ≤ 0.001). In the countries of group 1, the overall mortality and overall morbidity were 2 times lower (p ≤ 0.001). Cardiovascular diseases were 1.5 times higher (p ≤ 0.016), cerebrovascular events were 2 times higher in group 2 countries (p ≤ 0.001).In the 1st group of countries, the share of men (%) predictors of metabolic syndrome (MS) was on average 2 times higher than in the 2nd group of countries (p ≤ 0.009). The daily food consumption in the 1st group of countries was 2 times higher than in the 2nd group (p ≤ 0.001). Conclusion:The index of happiness can be considered a subtle and sensitive tool for assessing not only social life, but also human health.

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Assessing the Level of Happiness: a Review of Russian and Foreign Research

Cited by 9 publications

References 4 publications

Ecological Determinants of the Happiness Index, Life Expectancy, Incidence and Dietary Patterns in Different Countries

Ecological Determinants of the Happiness Index, Life Expectancy, Incidence and Dietary Patterns in Different Countries

Оценка Благосостояния С Позиции Устойчивого Человеческого Развития: Возможности Международных Индексов

Happy People in the World Live 25 Years Longer Than Unhappy People and are Less Likely to Suffer from Cardio Pathologies

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