Predictors of happiness and satisfaction with life in individuals from the Brazilian general population who use social networks: a cross-sectional study

• Autor(a) principal: Mayara Goulart de Camargos
• Data de Publicação: 2021
• Outros Autores: Bianca Sakamoto Ribeiro Paiva, Marco Antonio de Oliveira, Carla Simone Leite de Almeida, Claudia Hofheinz Giacomoni, Carlos Eduardo Paiva
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Cadernos de Saúde Pública
• Texto Completo: https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/7665
• topic: Happiness; Personal Satisfaction; Social Networking

This study aimed to identify possible conditions associated with the perception of happiness and satisfaction with life in a sample of the Brazilian population who use social networks. This was a cross-sectional study with participants recruited online in five regions of Brazil via Facebook and WhatsApp. Data were collected from October 2015 to October 2016. The instruments used were the Pemberton Happiness Index, the Satisfaction with Life Scale, and a questionnaire regarding sociodemographic and clinical characteristics and issues potentially associated with the feeling of happiness. In total, 2,151 participants were included. A total of five variables exerted the greatest influence on higher levels of happiness and satisfaction with life in the multiple linear regression model, in the multiple logistic regression analysis, and in the decision tree model. Being satisfied with financial circumstances, having a positive self-evaluation of health, having frequent family gatherings, engaging in physical activity ≥ 3 times a week, and having no previous psychological/psychiatric diagnosis are variables that “seem” to positively influence Brazilians’ perception of happiness and satisfaction with life. We identified some predictors of happiness and satisfaction with life, which were mainly related to the social activities and personal satisfaction of the participating individuals. Encouraging people to seek strategies for increasing levels of happiness and life satisfaction based on modifiable variables, such as those found, can be helpful in this context.