Unlabelled: The Sustainable Development Goals (SDGs) of the United Nation's Agenda 2030 are formulated to promote the development of integrated, multisectoral policies that explicitly consider linkages across SDGs. Although multiple recent studies have tried to identify linkages across SDGs, the role of contextual factors in identifying SDG linkages is neither well described nor understood. For the case of SDG 2 and SDG 6, this study aims to (i) identify linkages-at country and SDG target level-through the application of various quantitative and qualitative identification methods, and (ii) explore contextual factors to explain the differences across identified linkages. Hereto, we first conducted a text analysis of 195 Voluntary National Reviews (VNRs) reported by 159 countries from 2016 to 2020. Next, we synthesized linkages reported by previous qualitative studies and conducted a quantitative (correlation) analysis on the UN's SDG database. Last, we compared identified linkages across methods, paying special attention to the role of context. From the text analysis, we identified 221 country-specific linkages between 25 SDG target pairs and observed that countries increasingly report SDG linkages in their VNRs over time. Comparing text analysis, existing qualitative studies, and our quantitative correlation analysis, we found substantial differences between the number and nature of linkages identified. These differences can be explained in part by methodological considerations, but to a significant extent also by contextual factors, such as project design, technology application, phase of interventions, and project scale. We conclude by discussing the strengths and limitations of the methods involved, and suggestions for future studies.
Supplementary Information: The online version contains supplementary material available at 10.1007/s11625-022-01158-3.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9338151 | PMC |
http://dx.doi.org/10.1007/s11625-022-01158-3 | DOI Listing |
J Am Coll Health
January 2025
Department of Counseling, Educational Psychology, & Foundations, Mississippi State University, Mississippi State, Mississippi, USA.
Prior research demonstrated that military/veteran students report lower belongingness than civilian students, but the reasons why remain unclear. We investigated the impact of demographic characteristics, state and local politics, and school-specific veteran resources on reported belongingness. Participants included 104,162 students (2,814 military/veteran) who completed a survey for the Healthy Minds Study between 2014 and 2018.
View Article and Find Full Text PDFRheumatology (Oxford)
January 2025
Department of Rheumatology, Rheumazentrum Ruhrgebiet, Herne, Germany.
Objectives: To compare the utility values of Spondyloarthritis (SpA)-specific ASAS Health Index (U-ASAS-HI) to generic utilities and to understand the contribution of health outcomes, personal- and country-level factors to the U-ASAS-HI.
Methods: Ancillary analysis of the ASAS-HI international validation study. SpA patients who completed the ASAS-HI, 5-level EuroQol-5D (EQ-5D-5L) and Short Form-36 (SF-36) questionnaires were selected, and utilities calculated.
AIDS
March 2025
Urban Health Lab, Department of Public Health Sciences, Crown Family School of Social Work, Policy, and Practice, University of Chicago, Chicago, IL, USA.
Fam Pract
January 2025
Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Jalan Lagoon Selatan, Bandar Sunway, 47500 Petaling Jaya, Selangor, Malaysia.
Background: The optimal control of type 2 diabetes (T2D) is defined by the innate mastery of self-management behaviours. This study is designed to condense the lived experiences of people with T2D in relation to factors 'exterior' to themselves into a universal self-management inventory (Assessment of Self-Management Questionnaire in Diabetes Mellitus-External Reality; ASQ-DM-EX).
Methods: We collected responses to an online and physical survey from people living with T2D through a quantitative cross-sectional study.
Front Child Adolesc Psychiatry
January 2025
Bronx-Lebanon Hospital Center, New York, NY, United States.
Background: Autism spectrum disorder is a neurodevelopmental condition characterized by persistent challenges in social communication and restricted, repetitive behaviors. Emotion recognition deficits are a core feature of ASD, impairing social functioning and quality of life. This meta-analysis evaluates emotion recognition accuracy and response time in individuals with autism spectrum disorder compared to neurotypical individuals and those with other neurodevelopmental disorders.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!