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Data Mining Approach: What Determines the Wellbeing of Women in Montenegro, North Macedonia, and Serbia?
BACKGROUND: Women's happiness and life satisfaction, often summarized as subjective wellbeing, are of great value for most individuals and are associated with various determinants. The countries of the Western Balkan are of particular interest after the political changes in the nineties. Are th...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9199491/ https://www.ncbi.nlm.nih.gov/pubmed/35719609 http://dx.doi.org/10.3389/fpubh.2022.873845 |
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author | Bjegovic-Mikanovic, Vesna Wenzel, Helmut Laaser, Ulrich |
author_facet | Bjegovic-Mikanovic, Vesna Wenzel, Helmut Laaser, Ulrich |
author_sort | Bjegovic-Mikanovic, Vesna |
collection | PubMed |
description | BACKGROUND: Women's happiness and life satisfaction, often summarized as subjective wellbeing, are of great value for most individuals and are associated with various determinants. The countries of the Western Balkan are of particular interest after the political changes in the nineties. Are the women satisfied with their lives today? METHODS: We use the most recent datasets of the Multiple Indicator Cluster Surveys (MICS) for women 15–49 years old and with comparable data coverage for three countries of the Western Balkan belonging to the former Yugoslavia, namely Montenegro, North Macedonia, and Serbia. After sorting out variables of limited relevance or quality (missing values >50%), the remaining 32 variables followed a descriptive analysis. Four potential determinants of subjective wellbeing (SWB), an integration of happiness and satisfaction with life, entered an interactive Classification and Regression Tree (iC&RT) to account for their mostly bivariate format: age, education, region, and wealth. RESULTS: The iC&RT analysis determines the influence of 4 independent variables (age, education, region, and wealth) on overall happiness, satisfaction with life, and subjective wellbeing, resulting in a high overall SWB of 88.9% for Montenegro, 82.1% for North Macedonia, and 83% for Serbia. The high relevance of younger age, higher education, and wealth, as critical determinants of a high SWB, and the lesser role of regions except for Serbia is confirmed. The spread of SWB in defined population subgroups ranges from 80.5–92.6% for Montenegro, 64.2–86.8% for North Macedonia, and 75.8–87.4% for Serbia. CONCLUSIONS: The three selected South-Eastern European countries of the former Yugoslavia (Montenegro, North Macedonia, Serbia) represent high levels of subjective wellbeing of women and a narrow range between the lowest and highest population groups. Women in Montenegro take a top position regarding their subjective wellbeing. |
format | Online Article Text |
id | pubmed-9199491 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-91994912022-06-16 Data Mining Approach: What Determines the Wellbeing of Women in Montenegro, North Macedonia, and Serbia? Bjegovic-Mikanovic, Vesna Wenzel, Helmut Laaser, Ulrich Front Public Health Public Health BACKGROUND: Women's happiness and life satisfaction, often summarized as subjective wellbeing, are of great value for most individuals and are associated with various determinants. The countries of the Western Balkan are of particular interest after the political changes in the nineties. Are the women satisfied with their lives today? METHODS: We use the most recent datasets of the Multiple Indicator Cluster Surveys (MICS) for women 15–49 years old and with comparable data coverage for three countries of the Western Balkan belonging to the former Yugoslavia, namely Montenegro, North Macedonia, and Serbia. After sorting out variables of limited relevance or quality (missing values >50%), the remaining 32 variables followed a descriptive analysis. Four potential determinants of subjective wellbeing (SWB), an integration of happiness and satisfaction with life, entered an interactive Classification and Regression Tree (iC&RT) to account for their mostly bivariate format: age, education, region, and wealth. RESULTS: The iC&RT analysis determines the influence of 4 independent variables (age, education, region, and wealth) on overall happiness, satisfaction with life, and subjective wellbeing, resulting in a high overall SWB of 88.9% for Montenegro, 82.1% for North Macedonia, and 83% for Serbia. The high relevance of younger age, higher education, and wealth, as critical determinants of a high SWB, and the lesser role of regions except for Serbia is confirmed. The spread of SWB in defined population subgroups ranges from 80.5–92.6% for Montenegro, 64.2–86.8% for North Macedonia, and 75.8–87.4% for Serbia. CONCLUSIONS: The three selected South-Eastern European countries of the former Yugoslavia (Montenegro, North Macedonia, Serbia) represent high levels of subjective wellbeing of women and a narrow range between the lowest and highest population groups. Women in Montenegro take a top position regarding their subjective wellbeing. Frontiers Media S.A. 2022-06-01 /pmc/articles/PMC9199491/ /pubmed/35719609 http://dx.doi.org/10.3389/fpubh.2022.873845 Text en Copyright © 2022 Bjegovic-Mikanovic, Wenzel and Laaser. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Bjegovic-Mikanovic, Vesna Wenzel, Helmut Laaser, Ulrich Data Mining Approach: What Determines the Wellbeing of Women in Montenegro, North Macedonia, and Serbia? |
title | Data Mining Approach: What Determines the Wellbeing of Women in Montenegro, North Macedonia, and Serbia? |
title_full | Data Mining Approach: What Determines the Wellbeing of Women in Montenegro, North Macedonia, and Serbia? |
title_fullStr | Data Mining Approach: What Determines the Wellbeing of Women in Montenegro, North Macedonia, and Serbia? |
title_full_unstemmed | Data Mining Approach: What Determines the Wellbeing of Women in Montenegro, North Macedonia, and Serbia? |
title_short | Data Mining Approach: What Determines the Wellbeing of Women in Montenegro, North Macedonia, and Serbia? |
title_sort | data mining approach: what determines the wellbeing of women in montenegro, north macedonia, and serbia? |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9199491/ https://www.ncbi.nlm.nih.gov/pubmed/35719609 http://dx.doi.org/10.3389/fpubh.2022.873845 |
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