Author Interviews, Global Health, JAMA, Pediatrics / 13.08.2018
Little Global Investment in Adolescent Health
MedicalResearch.com Interview with:
[caption id="attachment_43820" align="alignleft" width="133"] Dr. Chunling Lu[/caption]
Chunling Lu, PhD
Director, Program in Global Health Economics and Social Change
Assistant Professor in Global Health and Social Medicine
Division of Global Health Equity, Brigham and Women's Hospital
Department of Global Health and Social Medicine, Harvard Medical School
Harvard Center for Population and Development Studies
Institute for Quantitative Social Science, Harvard University
Boston, MA 02115
MedicalResearch.com: What is the background for this study? What are the main findings?
Response: Today, we have the largest generation of youth (10-24 years) in human history (1·8 billion) and about 90% of them live in low- and middle-income countries. Healthy growth and learning during the adolescent years underpins future population health and productivity. The importance of adolescent health has now been recognized with the inclusion of adolescents in the 2015 Every Woman, Every Child agenda through the Global Strategy for Women’s Children’s and Adolescents’ Health. A capacity to finance health care has underpinned progress in most areas of health. In poorer countries much of that financing comes from global donors. As little is known about donors’ contribution to adolescent health, our study fills in that knowledge gap by assessing how much development assistance has been disbursed to projects for adolescent health in 132 developing countries between 2003 and 2015.
We found that donors’ contribution to the projects targeting adolescent health cumulatively accounted for only 1.6% of development assistance for health.
Among the top 10 leading causes of disability adjusted life years (DALYs) in adolescents, sexual, reproductive health and HIV/AIDS received the largest donors’ contribution (approximately 68% during the study period), followed by interpersonal violence, tuberculosis, and diarrheal diseases.
Other major causes of disease burden, including anemia, road injuries, and depressive disorders, have been largely overlooked by donors.
Dr. Chunling Lu[/caption]
Chunling Lu, PhD
Director, Program in Global Health Economics and Social Change
Assistant Professor in Global Health and Social Medicine
Division of Global Health Equity, Brigham and Women's Hospital
Department of Global Health and Social Medicine, Harvard Medical School
Harvard Center for Population and Development Studies
Institute for Quantitative Social Science, Harvard University
Boston, MA 02115
MedicalResearch.com: What is the background for this study? What are the main findings?
Response: Today, we have the largest generation of youth (10-24 years) in human history (1·8 billion) and about 90% of them live in low- and middle-income countries. Healthy growth and learning during the adolescent years underpins future population health and productivity. The importance of adolescent health has now been recognized with the inclusion of adolescents in the 2015 Every Woman, Every Child agenda through the Global Strategy for Women’s Children’s and Adolescents’ Health. A capacity to finance health care has underpinned progress in most areas of health. In poorer countries much of that financing comes from global donors. As little is known about donors’ contribution to adolescent health, our study fills in that knowledge gap by assessing how much development assistance has been disbursed to projects for adolescent health in 132 developing countries between 2003 and 2015.
We found that donors’ contribution to the projects targeting adolescent health cumulatively accounted for only 1.6% of development assistance for health.
Among the top 10 leading causes of disability adjusted life years (DALYs) in adolescents, sexual, reproductive health and HIV/AIDS received the largest donors’ contribution (approximately 68% during the study period), followed by interpersonal violence, tuberculosis, and diarrheal diseases.
Other major causes of disease burden, including anemia, road injuries, and depressive disorders, have been largely overlooked by donors. 
![MedicalResearch.com Interview with: Dr. Theodore Satterthwaite MD Assistant professor in the department of Psychiatry, and Cedric Xia, a MD-PhD candidate Perelman School of Medicine at the University of Pennsylvania MedicalResearch.com: What is the background for this study? What are the main findings? Response: Unlike other branches of modern medicine, psychiatry still solely replies on patient reports and physician observations for clinical decision-making. Without biologically-based tests, the diagnostic categories for mental health do not carve nature at its joint. This is evident in the high levels of co-morbidity across disorders and heterogeneity within disorders. Through this research, we studied a large sample of adolescents who completed MRI-based functional imaging, and used recently-developed machine learning techniques to uncover specific abnormalities that are highly predictive of a wide variety of psychiatric symptoms. Essentially, we tried to find brain patterns that were predictive of different types of psychiatric symptoms. We discovered four such brain-guided dimensions of psychopathology: mood, psychosis, fear, and disruptive behavior. While each of these dimensions exhibits a unique pattern of brain connectivity, a common feature of brain anomaly is shared across the dimensions. Notably, in all linked dimensions, the default mode network and fronto-parietal network, two brain regions that usually become increasingly distinct as the brain matures, were abnormally connected. This loss of normal brain network segregation supports the hypothesis that many psychiatric illnesses may be disorders of brain development. MedicalResearch.com: What should readers take away from your report? Response: This study shows that we can start to use the brain to guide our understanding of psychiatric disorders in a way that’s fundamentally different than grouping symptoms into clinical diagnostic categories. By moving away from clinical labels developed decades ago, we can begin to let the biology speak for itself. Our ultimate hope is that understanding the biology of mental illnesses will allow us to develop better treatments for our patients. MedicalResearch.com: What recommendations do you have for future research as a result of this work? Response: This study demonstrates the importance of incorporating vast amounts of biological data to study mental illness across clinical diagnostic boundaries. Moving forward, we hope to integrate genomic data in order to describe pathways from genes to brain to symptoms, which could ultimately be the basis for novel treatments for mental illness. MedicalResearch.com: Is there anything else you would like to add? Response: Future breakthroughs in brain science to understand mental illness requires large amount of data. While the current study takes advantage of one of the largest samples of youth, the size (n=999) remains dwarfed by the complexity of the brain. The neuroscience community is actively working towards collecting higher quality data in even larger samples, so we can validate and build upon the findings. Citation: Cedric Huchuan Xia, Zongming Ma, Rastko Ciric, Shi Gu, Richard F. Betzel, Antonia N. Kaczkurkin, Monica E. Calkins, Philip A. Cook, Angel García de la Garza, Simon N. Vandekar, Zaixu Cui, Tyler M. Moore, David R. Roalf, Kosha Ruparel, Daniel H. Wolf, Christos Davatzikos, Ruben C. Gur, Raquel E. Gur, Russell T. Shinohara, Danielle S. Bassett, Theodore D. Satterthwaite. Linked dimensions of psychopathology and connectivity in functional brain networks. Nature Communications, 2018; 9 (1) DOI: 10.1038/s41467-018-05317-y [wysija_form id="3"] [last-modified] The information on MedicalResearch.com is provided for educational purposes only, and is in no way intended to diagnose, cure, or treat any medical or other condition. Always seek the advice of your physician or other qualified health and ask your doctor any questions you may have regarding a medical condition. In addition to all other limitations and disclaimers in this agreement, service provider and its third party providers disclaim any liability or loss in connection with the content provided on this website.](https://medicalresearch.com/wp-content/uploads/Cross-clinical-diagnostic-categories.jpg)
![MedicalResearch.com Interview with: Dr. Theodore Satterthwaite MD Assistant professor in the department of Psychiatry, and Cedric Xia, a MD-PhD candidate Perelman School of Medicine at the University of Pennsylvania MedicalResearch.com: What is the background for this study? What are the main findings? Response: Unlike other branches of modern medicine, psychiatry still solely replies on patient reports and physician observations for clinical decision-making. Without biologically-based tests, the diagnostic categories for mental health do not carve nature at its joint. This is evident in the high levels of co-morbidity across disorders and heterogeneity within disorders. Through this research, we studied a large sample of adolescents who completed MRI-based functional imaging, and used recently-developed machine learning techniques to uncover specific abnormalities that are highly predictive of a wide variety of psychiatric symptoms. Essentially, we tried to find brain patterns that were predictive of different types of psychiatric symptoms. We discovered four such brain-guided dimensions of psychopathology: mood, psychosis, fear, and disruptive behavior. While each of these dimensions exhibits a unique pattern of brain connectivity, a common feature of brain anomaly is shared across the dimensions. Notably, in all linked dimensions, the default mode network and fronto-parietal network, two brain regions that usually become increasingly distinct as the brain matures, were abnormally connected. This loss of normal brain network segregation supports the hypothesis that many psychiatric illnesses may be disorders of brain development. MedicalResearch.com: What should readers take away from your report? Response: This study shows that we can start to use the brain to guide our understanding of psychiatric disorders in a way that’s fundamentally different than grouping symptoms into clinical diagnostic categories. By moving away from clinical labels developed decades ago, we can begin to let the biology speak for itself. Our ultimate hope is that understanding the biology of mental illnesses will allow us to develop better treatments for our patients. MedicalResearch.com: What recommendations do you have for future research as a result of this work? Response: This study demonstrates the importance of incorporating vast amounts of biological data to study mental illness across clinical diagnostic boundaries. Moving forward, we hope to integrate genomic data in order to describe pathways from genes to brain to symptoms, which could ultimately be the basis for novel treatments for mental illness. MedicalResearch.com: Is there anything else you would like to add? Response: Future breakthroughs in brain science to understand mental illness requires large amount of data. While the current study takes advantage of one of the largest samples of youth, the size (n=999) remains dwarfed by the complexity of the brain. The neuroscience community is actively working towards collecting higher quality data in even larger samples, so we can validate and build upon the findings. Citation: Cedric Huchuan Xia, Zongming Ma, Rastko Ciric, Shi Gu, Richard F. Betzel, Antonia N. Kaczkurkin, Monica E. Calkins, Philip A. Cook, Angel García de la Garza, Simon N. Vandekar, Zaixu Cui, Tyler M. Moore, David R. Roalf, Kosha Ruparel, Daniel H. Wolf, Christos Davatzikos, Ruben C. Gur, Raquel E. Gur, Russell T. Shinohara, Danielle S. Bassett, Theodore D. Satterthwaite. Linked dimensions of psychopathology and connectivity in functional brain networks. Nature Communications, 2018; 9 (1) DOI: 10.1038/s41467-018-05317-y [wysija_form id="3"] [last-modified] The information on MedicalResearch.com is provided for educational purposes only, and is in no way intended to diagnose, cure, or treat any medical or other condition. Always seek the advice of your physician or other qualified health and ask your doctor any questions you may have regarding a medical condition. In addition to all other limitations and disclaimers in this agreement, service provider and its third party providers disclaim any liability or loss in connection with the content provided on this website.](https://medicalresearch.com/wp-content/uploads/Cross-clinical-diagnostic-categories-200x180.jpg)
