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Introduction The primary aim of this study is to thoroughly investigate the prevalence and determinants of loneliness among older adults in the Baltic-Nordic region. Utilizing high-quality data sources and employing a methodologically rigorous approach, the study endeavors to enhance our understanding of how loneliness manifests and varies across different cultural and socio-economic contexts within these regions. By identifying key factors influencing loneliness, including demographic, social, and economic variables, the research seeks to contribute significantly to the existing body of knowledge on loneliness and inform targeted public health strategies and interventions tailored to the unique needs of older adults in the Baltic and Nordic countries.Material and methods This research, centered on older adults aged 67 and above within the Baltic-Nordic region, draws upon data from the Survey of Health, Ageing and Retirement in Europe (SHARE), specifically its eighth wave conducted between June and August 2020. The demographic analysis of this study covers a diverse sample of 5,313 participants from the Baltic and Nordic regions. Specifically, the sample includes 2,377 participants from Nordic countries, namely Sweden, Denmark, and Finland, and 2,936 from the Baltic countries of Estonia, Latvia, and Lithuania. The investigation extends to the financial well-being of households, involving an analysis of 3,925 individuals, with 1,748 from Nordic countries and 2,177 from Baltic countries. Although Iceland is categorized as a Nordic country, the analysis within this study is conducted separately due to the unavailability of SHARE data for this region. Instead, the HL20 study, focusing on the health and well-being of the older adult population in Iceland, contributes data for 1,033 respondents. This methodological distinction allows for a comprehensive understanding of regional differences, highlighting the importance of specialized approaches to examine the intricate dy, Corresponding author: Ieva Reine

Introduction The primary aim of this study is to thoroughly investigate the prevalence and determinants of loneliness among older adults in the Baltic-Nordic region. Utilizing high-quality data sources and employing a methodologically rigorous approach, the study endeavors to enhance our understanding of how loneliness manifests and varies across different cultural and socio-economic contexts within these regions. By identifying key factors influencing loneliness, including demographic, social, and economic variables, the research seeks to contribute significantly to the existing body of knowledge on loneliness and inform targeted public health strategies and interventions tailored to the unique needs of older adults in the Baltic and Nordic countries.Material and methods This research, centered on older adults aged 67 and above within the Baltic-Nordic region, draws upon data from the Survey of Health, Ageing and Retirement in Europe (SHARE), specifically its eighth wave conducted between June and August 2020. The demographic analysis of this study covers a diverse sample of 5,313 participants from the Baltic and Nordic regions. Specifically, the sample includes 2,377 participants from Nordic countries, namely Sweden, Denmark, and Finland, and 2,936 from the Baltic countries of Estonia, Latvia, and Lithuania. The investigation extends to the financial well-being of households, involving an analysis of 3,925 individuals, with 1,748 from Nordic countries and 2,177 from Baltic countries. Although Iceland is categorized as a Nordic country, the analysis within this study is conducted separately due to the unavailability of SHARE data for this region. Instead, the HL20 study, focusing on the health and well-being of the older adult population in Iceland, contributes data for 1,033 respondents. This methodological distinction allows for a comprehensive understanding of regional differences, highlighting the importance of specialized approaches to examine the intricate dy, Corresponding author: Ieva Reine

Introduction The primary aim of this study is to thoroughly investigate the prevalence and determinants of loneliness among older adults in the Baltic-Nordic region. Utilizing high-quality data sources and employing a methodologically rigorous approach, the study endeavors to enhance our understanding of how loneliness manifests and varies across different cultural and socio-economic contexts within these regions. By identifying key factors influencing loneliness, including demographic, social, and economic variables, the research seeks to contribute significantly to the existing body of knowledge on loneliness and inform targeted public health strategies and interventions tailored to the unique needs of older adults in the Baltic and Nordic countries.Material and methods This research, centered on older adults aged 67 and above within the Baltic-Nordic region, draws upon data from the Survey of Health, Ageing and Retirement in Europe (SHARE), specifically its eighth wave conducted between June and August 2020. The demographic analysis of this study covers a diverse sample of 5,313 participants from the Baltic and Nordic regions. Specifically, the sample includes 2,377 participants from Nordic countries, namely Sweden, Denmark, and Finland, and 2,936 from the Baltic countries of Estonia, Latvia, and Lithuania. The investigation extends to the financial well-being of households, involving an analysis of 3,925 individuals, with 1,748 from Nordic countries and 2,177 from Baltic countries. Although Iceland is categorized as a Nordic country, the analysis within this study is conducted separately due to the unavailability of SHARE data for this region. Instead, the HL20 study, focusing on the health and well-being of the older adult population in Iceland, contributes data for 1,033 respondents. This methodological distinction allows for a comprehensive understanding of regional differences, highlighting the importance of specialized approaches to examine the intricate dy, Corresponding author: Ieva Reine

Introduction The primary aim of this study is to thoroughly investigate the prevalence and determinants of loneliness among older adults in the Baltic-Nordic region. Utilizing high-quality data sources and employing a methodologically rigorous approach, the study endeavors to enhance our understanding of how loneliness manifests and varies across different cultural and socio-economic contexts within these regions. By identifying key factors influencing loneliness, including demographic, social, and economic variables, the research seeks to contribute significantly to the existing body of knowledge on loneliness and inform targeted public health strategies and interventions tailored to the unique needs of older adults in the Baltic and Nordic countries.Material and methods This research, centered on older adults aged 67 and above within the Baltic-Nordic region, draws upon data from the Survey of Health, Ageing and Retirement in Europe (SHARE), specifically its eighth wave conducted between June and August 2020. The demographic analysis of this study covers a diverse sample of 5,313 participants from the Baltic and Nordic regions. Specifically, the sample includes 2,377 participants from Nordic countries, namely Sweden, Denmark, and Finland, and 2,936 from the Baltic countries of Estonia, Latvia, and Lithuania. The investigation extends to the financial well-being of households, involving an analysis of 3,925 individuals, with 1,748 from Nordic countries and 2,177 from Baltic countries. Although Iceland is categorized as a Nordic country, the analysis within this study is conducted separately due to the unavailability of SHARE data for this region. Instead, the HL20 study, focusing on the health and well-being of the older adult population in Iceland, contributes data for 1,033 respondents. This methodological distinction allows for a comprehensive understanding of regional differences, highlighting the importance of specialized approaches to examine the intricate dy, Corresponding author: Ieva Reine

Introduction The primary aim of this study is to thoroughly investigate the prevalence and determinants of loneliness among older adults in the Baltic-Nordic region. Utilizing high-quality data sources and employing a methodologically rigorous approach, the study endeavors to enhance our understanding of how loneliness manifests and varies across different cultural and socio-economic contexts within these regions. By identifying key factors influencing loneliness, including demographic, social, and economic variables, the research seeks to contribute significantly to the existing body of knowledge on loneliness and inform targeted public health strategies and interventions tailored to the unique needs of older adults in the Baltic and Nordic countries.Material and methods This research, centered on older adults aged 67 and above within the Baltic-Nordic region, draws upon data from the Survey of Health, Ageing and Retirement in Europe (SHARE), specifically its eighth wave conducted between June and August 2020. The demographic analysis of this study covers a diverse sample of 5,313 participants from the Baltic and Nordic regions. Specifically, the sample includes 2,377 participants from Nordic countries, namely Sweden, Denmark, and Finland, and 2,936 from the Baltic countries of Estonia, Latvia, and Lithuania. The investigation extends to the financial well-being of households, involving an analysis of 3,925 individuals, with 1,748 from Nordic countries and 2,177 from Baltic countries. Although Iceland is categorized as a Nordic country, the analysis within this study is conducted separately due to the unavailability of SHARE data for this region. Instead, the HL20 study, focusing on the health and well-being of the older adult population in Iceland, contributes data for 1,033 respondents. This methodological distinction allows for a comprehensive understanding of regional differences, highlighting the importance of specialized approaches to examine the intricate dy, Corresponding author: Ieva Reine

IntroductionThe aging population presents both unique challenges and opportunities for societies around the world. To develop an effective healthy aging strategy, a tool for assessing aging process is needed. Numerous attempts to quantify the aging process have been made. However, there is still a challenge in developing and choosing a good enough score that is easy to apply, has a construct of variables that are available in most nationwide surveys for comparable results, and at the same time reflects the aging process of older individuals. The purpose of this study is to present our approach to construct a comparable Healthy Aging Index (HAI).Materials and methodsIn Latvia, data from Wave 8 of the Survey of Health, Aging and Retirement in Europe (SHARE), involving 420 respondents, were used. For comparative analysis, data from a HL20 study on the health and wellbeing of the older adults in Iceland, which included 1,033 respondents, were used.ResultsFor Latvia, 13 items were selected, and for Iceland, nine items were selected. We constructed the HAI with four similar subscales for both countries-"Autonomy," "Health," "Wellbeing," and "Activities," and an additional subscale "Cognitive" for Latvia. We found matching items in all four subscales. For the Autonomy subscale, they were related to difficulties with everyday and daily tasks. In the Health subscale, the only matching item was self-rated physical health. One item related to loneliness was found for the Wellbeing subscale and one item related to social participation for the Activities subscale.DiscussionIn our study, we found evidence for the successful construction of a HAI in two different datasets. The strength of our construct lies in the use of data from one of the largest social science panel studies in Europe (SHARE). As we were able to apply the construct to the Icelandic study, we believe that items presented in our approach are available in other population-based studies as well, and, therefore, can

Europe, notably in countries like Lithuania, is facing substantial demographic shifts due to aging, impacting various systems, including the labor market. In this context understanding retirement intentions is crucial. Quality of work is a key determinant of retirement intentions, yet other factors such as financial situation, health, or family pressures also play a role, and a comprehensive understanding of their interactions remains a research gap. Therefore, the aim of this study was to conduct a systematic literature review of research on the relationship between retirement intentions and quality of work, with a specific focus on potential control factors, moderators and mediators of this relationship. This systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta Analyses (PRISMA). Articles were electronically retrieved from Scopus, Web of Science, ScienceDirect, and EBSCO databases. Studies selected were full-text, peer-reviewed articles in English from 2003 to 2023, which used quantitative methodologies and focused on the relationship between retirement intentions and quality of work for workers aged 50+. The quality of the selected publications was assessed using the Appraisal Tool for Cross-Sectional Studies - AXIS tool. Of the initial 776 sources, after removing duplicates and irrelevant articles, 91 were fully screened, and 17 met the criteria for inclusion in the systematic review. This systematic literature review provided further insights into the relationship between retirement intentions and quality of work, highlighting the roles of moderators, mediators, and control factors in this relationship.

IntroductionThe aging population presents both unique challenges and opportunities for societies around the world. To develop an effective healthy aging strategy, a tool for assessing aging process is needed. Numerous attempts to quantify the aging process have been made. However, there is still a challenge in developing and choosing a good enough score that is easy to apply, has a construct of variables that are available in most nationwide surveys for comparable results, and at the same time reflects the aging process of older individuals. The purpose of this study is to present our approach to construct a comparable Healthy Aging Index (HAI).Materials and methodsIn Latvia, data from Wave 8 of the Survey of Health, Aging and Retirement in Europe (SHARE), involving 420 respondents, were used. For comparative analysis, data from a HL20 study on the health and wellbeing of the older adults in Iceland, which included 1,033 respondents, were used.ResultsFor Latvia, 13 items were selected, and for Iceland, nine items were selected. We constructed the HAI with four similar subscales for both countries-"Autonomy," "Health," "Wellbeing," and "Activities," and an additional subscale "Cognitive" for Latvia. We found matching items in all four subscales. For the Autonomy subscale, they were related to difficulties with everyday and daily tasks. In the Health subscale, the only matching item was self-rated physical health. One item related to loneliness was found for the Wellbeing subscale and one item related to social participation for the Activities subscale.DiscussionIn our study, we found evidence for the successful construction of a HAI in two different datasets. The strength of our construct lies in the use of data from one of the largest social science panel studies in Europe (SHARE). As we were able to apply the construct to the Icelandic study, we believe that items presented in our approach are available in other population-based studies as well, and, therefore, can

Europe, notably in countries like Lithuania, is facing substantial demographic shifts due to aging, impacting various systems, including the labor market. In this context understanding retirement intentions is crucial. Quality of work is a key determinant of retirement intentions, yet other factors such as financial situation, health, or family pressures also play a role, and a comprehensive understanding of their interactions remains a research gap. Therefore, the aim of this study was to conduct a systematic literature review of research on the relationship between retirement intentions and quality of work, with a specific focus on potential control factors, moderators and mediators of this relationship. This systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta Analyses (PRISMA). Articles were electronically retrieved from Scopus, Web of Science, ScienceDirect, and EBSCO databases. Studies selected were full-text, peer-reviewed articles in English from 2003 to 2023, which used quantitative methodologies and focused on the relationship between retirement intentions and quality of work for workers aged 50+. The quality of the selected publications was assessed using the Appraisal Tool for Cross-Sectional Studies - AXIS tool. Of the initial 776 sources, after removing duplicates and irrelevant articles, 91 were fully screened, and 17 met the criteria for inclusion in the systematic review. This systematic literature review provided further insights into the relationship between retirement intentions and quality of work, highlighting the roles of moderators, mediators, and control factors in this relationship.

IntroductionThe aging population presents both unique challenges and opportunities for societies around the world. To develop an effective healthy aging strategy, a tool for assessing aging process is needed. Numerous attempts to quantify the aging process have been made. However, there is still a challenge in developing and choosing a good enough score that is easy to apply, has a construct of variables that are available in most nationwide surveys for comparable results, and at the same time reflects the aging process of older individuals. The purpose of this study is to present our approach to construct a comparable Healthy Aging Index (HAI).Materials and methodsIn Latvia, data from Wave 8 of the Survey of Health, Aging and Retirement in Europe (SHARE), involving 420 respondents, were used. For comparative analysis, data from a HL20 study on the health and wellbeing of the older adults in Iceland, which included 1,033 respondents, were used.ResultsFor Latvia, 13 items were selected, and for Iceland, nine items were selected. We constructed the HAI with four similar subscales for both countries-"Autonomy," "Health," "Wellbeing," and "Activities," and an additional subscale "Cognitive" for Latvia. We found matching items in all four subscales. For the Autonomy subscale, they were related to difficulties with everyday and daily tasks. In the Health subscale, the only matching item was self-rated physical health. One item related to loneliness was found for the Wellbeing subscale and one item related to social participation for the Activities subscale.DiscussionIn our study, we found evidence for the successful construction of a HAI in two different datasets. The strength of our construct lies in the use of data from one of the largest social science panel studies in Europe (SHARE). As we were able to apply the construct to the Icelandic study, we believe that items presented in our approach are available in other population-based studies as well, and, therefore, can

Europe, notably in countries like Lithuania, is facing substantial demographic shifts due to aging, impacting various systems, including the labor market. In this context understanding retirement intentions is crucial. Quality of work is a key determinant of retirement intentions, yet other factors such as financial situation, health, or family pressures also play a role, and a comprehensive understanding of their interactions remains a research gap. Therefore, the aim of this study was to conduct a systematic literature review of research on the relationship between retirement intentions and quality of work, with a specific focus on potential control factors, moderators and mediators of this relationship. This systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta Analyses (PRISMA). Articles were electronically retrieved from Scopus, Web of Science, ScienceDirect, and EBSCO databases. Studies selected were full-text, peer-reviewed articles in English from 2003 to 2023, which used quantitative methodologies and focused on the relationship between retirement intentions and quality of work for workers aged 50+. The quality of the selected publications was assessed using the Appraisal Tool for Cross-Sectional Studies - AXIS tool. Of the initial 776 sources, after removing duplicates and irrelevant articles, 91 were fully screened, and 17 met the criteria for inclusion in the systematic review. This systematic literature review provided further insights into the relationship between retirement intentions and quality of work, highlighting the roles of moderators, mediators, and control factors in this relationship.

IntroductionThe aging population presents both unique challenges and opportunities for societies around the world. To develop an effective healthy aging strategy, a tool for assessing aging process is needed. Numerous attempts to quantify the aging process have been made. However, there is still a challenge in developing and choosing a good enough score that is easy to apply, has a construct of variables that are available in most nationwide surveys for comparable results, and at the same time reflects the aging process of older individuals. The purpose of this study is to present our approach to construct a comparable Healthy Aging Index (HAI).Materials and methodsIn Latvia, data from Wave 8 of the Survey of Health, Aging and Retirement in Europe (SHARE), involving 420 respondents, were used. For comparative analysis, data from a HL20 study on the health and wellbeing of the older adults in Iceland, which included 1,033 respondents, were used.ResultsFor Latvia, 13 items were selected, and for Iceland, nine items were selected. We constructed the HAI with four similar subscales for both countries-"Autonomy," "Health," "Wellbeing," and "Activities," and an additional subscale "Cognitive" for Latvia. We found matching items in all four subscales. For the Autonomy subscale, they were related to difficulties with everyday and daily tasks. In the Health subscale, the only matching item was self-rated physical health. One item related to loneliness was found for the Wellbeing subscale and one item related to social participation for the Activities subscale.DiscussionIn our study, we found evidence for the successful construction of a HAI in two different datasets. The strength of our construct lies in the use of data from one of the largest social science panel studies in Europe (SHARE). As we were able to apply the construct to the Icelandic study, we believe that items presented in our approach are available in other population-based studies as well, and, therefore, can

Europe, notably in countries like Lithuania, is facing substantial demographic shifts due to aging, impacting various systems, including the labor market. In this context understanding retirement intentions is crucial. Quality of work is a key determinant of retirement intentions, yet other factors such as financial situation, health, or family pressures also play a role, and a comprehensive understanding of their interactions remains a research gap. Therefore, the aim of this study was to conduct a systematic literature review of research on the relationship between retirement intentions and quality of work, with a specific focus on potential control factors, moderators and mediators of this relationship. This systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta Analyses (PRISMA). Articles were electronically retrieved from Scopus, Web of Science, ScienceDirect, and EBSCO databases. Studies selected were full-text, peer-reviewed articles in English from 2003 to 2023, which used quantitative methodologies and focused on the relationship between retirement intentions and quality of work for workers aged 50+. The quality of the selected publications was assessed using the Appraisal Tool for Cross-Sectional Studies - AXIS tool. Of the initial 776 sources, after removing duplicates and irrelevant articles, 91 were fully screened, and 17 met the criteria for inclusion in the systematic review. This systematic literature review provided further insights into the relationship between retirement intentions and quality of work, highlighting the roles of moderators, mediators, and control factors in this relationship.

IntroductionThe aging population presents both unique challenges and opportunities for societies around the world. To develop an effective healthy aging strategy, a tool for assessing aging process is needed. Numerous attempts to quantify the aging process have been made. However, there is still a challenge in developing and choosing a good enough score that is easy to apply, has a construct of variables that are available in most nationwide surveys for comparable results, and at the same time reflects the aging process of older individuals. The purpose of this study is to present our approach to construct a comparable Healthy Aging Index (HAI).Materials and methodsIn Latvia, data from Wave 8 of the Survey of Health, Aging and Retirement in Europe (SHARE), involving 420 respondents, were used. For comparative analysis, data from a HL20 study on the health and wellbeing of the older adults in Iceland, which included 1,033 respondents, were used.ResultsFor Latvia, 13 items were selected, and for Iceland, nine items were selected. We constructed the HAI with four similar subscales for both countries-"Autonomy," "Health," "Wellbeing," and "Activities," and an additional subscale "Cognitive" for Latvia. We found matching items in all four subscales. For the Autonomy subscale, they were related to difficulties with everyday and daily tasks. In the Health subscale, the only matching item was self-rated physical health. One item related to loneliness was found for the Wellbeing subscale and one item related to social participation for the Activities subscale.DiscussionIn our study, we found evidence for the successful construction of a HAI in two different datasets. The strength of our construct lies in the use of data from one of the largest social science panel studies in Europe (SHARE). As we were able to apply the construct to the Icelandic study, we believe that items presented in our approach are available in other population-based studies as well, and, therefore, can

Europe, notably in countries like Lithuania, is facing substantial demographic shifts due to aging, impacting various systems, including the labor market. In this context understanding retirement intentions is crucial. Quality of work is a key determinant of retirement intentions, yet other factors such as financial situation, health, or family pressures also play a role, and a comprehensive understanding of their interactions remains a research gap. Therefore, the aim of this study was to conduct a systematic literature review of research on the relationship between retirement intentions and quality of work, with a specific focus on potential control factors, moderators and mediators of this relationship. This systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta Analyses (PRISMA). Articles were electronically retrieved from Scopus, Web of Science, ScienceDirect, and EBSCO databases. Studies selected were full-text, peer-reviewed articles in English from 2003 to 2023, which used quantitative methodologies and focused on the relationship between retirement intentions and quality of work for workers aged 50+. The quality of the selected publications was assessed using the Appraisal Tool for Cross-Sectional Studies - AXIS tool. Of the initial 776 sources, after removing duplicates and irrelevant articles, 91 were fully screened, and 17 met the criteria for inclusion in the systematic review. This systematic literature review provided further insights into the relationship between retirement intentions and quality of work, highlighting the roles of moderators, mediators, and control factors in this relationship.