2020Journal of Family Medicine and Primary CareOpen access

Understanding the determinants of happiness through Gallup World Poll

Vidushi Jaswal, Kamal Kishore, M. Muniraju, Nidhi Jaswal, Rakesh Kapoor

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Abstract

BACKGROUND: century. Happiness can be broadly segmented into biological and behavioural component. The sufferings from illnesses hamper happiness. Happiness correlates negatively with morbidity, mortality, stress and anxiety in contrast to a positive correlation with motivation, healthy behaviours and longevity. In this article, an attempt has been made to understand the relationship between happiness and its important contributory factors. MATERIAL AND METHODS: The current study used data from the Gallup World Poll available under license CC0. Data analysis was performed using R studio version 1.0.136. Initially, descriptive analysis in the form of mean (standard deviation), violin plot, correlation matrix, and scatter plots were reported. Subsequently, robust regression estimates along with bootstrap standard errors and confidence intervals were used to report inferential statistics. RESULTS: Norway, with a happiness score of 7.537 ranked first followed by Denmark with a score of 7.522. Burundi with a score of 2.905 is at the bottom of ranking for happiness. Freedom (CI; 0.95-2.22) and Family (CI; 0.92 - 1.57) are the strongest predictors of happiness. The trust variable does not have a significant (CI; -0.27 - 1.94) relationship with happiness. CONCLUSIONS: The values and norms in society are changing at a fast pace. Therefore, the measures of happiness require consistent and innovative approaches to measure it.

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BACKGROUND: century. Happiness can be broadly segmented into biological and behavioural component. The sufferings from illnesses hamper happiness. Happiness correlates negatively with morbidity, mortality, stress and anxiety in contrast to a positive correlation with motivation, healthy behaviours and longevity. In this article, an attempt has been made to understand the relationship between happiness and its important contributory factors. MATERIAL AND METHODS: The current study used data from the Gallup World Poll available under license CC0. Data analysis was performed using R studio version 1.0.136. Initially, descriptive analysis in the form of mean (standard deviation), violin plot, correlation matrix, and scatter plots were reported. Subsequently, robust regression estimates along with bootstrap standard errors and confidence intervals were used to report inferential statistics. RESULTS: Norway, with a happiness score of 7.537 ranked first followed by Denmark with a score of 7.522. Burundi with a score of 2.905 is at the bottom of ranking for happiness. Freedom (CI; 0.95-2.22) and Family (CI; 0.92 - 1.57) are the strongest predictors of happiness. The trust variable does not have a significant (CI; -0.27 - 1.94) relationship with happiness. CONCLUSIONS: The values and norms in society are changing at a fast pace. Therefore, the measures of happiness require consistent and innovative approaches to measure it.

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Available abstract

BACKGROUND: century. Happiness can be broadly segmented into biological and behavioural component. The sufferings from illnesses hamper happiness. Happiness correlates negatively with morbidity, mortality, stress and anxiety in contrast to a positive correlation with motivation, healthy behaviours and longevity. In this article, an attempt has been made to understand the relationship between happiness and its important contributory factors. MATERIAL AND METHODS: The current study used data from the Gallup World Poll available under license CC0. Data analysis was performed using R studio version 1.0.136. Initially, descriptive analysis in the form of mean (standard deviation), violin plot, correlation matrix, and scatter plots were reported. Subsequently, robust regression estimates along with bootstrap standard errors and confidence intervals were used to report inferential statistics. RESULTS: Norway, with a happiness score of 7.537 ranked first followed by Denmark with a score of 7.522. Burundi with a score of 2.905 is at the bottom of ranking for happiness. Freedom (CI; 0.95-2.22) and Family (CI; 0.92 - 1.57) are the strongest predictors of happiness. The trust variable does not have a significant (CI; -0.27 - 1.94) relationship with happiness. CONCLUSIONS: The values and norms in society are changing at a fast pace. Therefore, the measures of happiness require consistent and innovative approaches to measure it.

Key concepts: Happiness, Medicine, Ranking (information retrieval), Social psychology, Confidence interval, Descriptive statistics, Demography, Psychology

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