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1.  A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010 
Lim, Stephen S | Vos, Theo | Flaxman, Abraham D | Danaei, Goodarz | Shibuya, Kenji | Adair-Rohani, Heather | Amann, Markus | Anderson, H Ross | Andrews, Kathryn G | Aryee, Martin | Atkinson, Charles | Bacchus, Loraine J | Bahalim, Adil N | Balakrishnan, Kalpana | Balmes, John | Barker-Collo, Suzanne | Baxter, Amanda | Bell, Michelle L | Blore, Jed D | Blyth, Fiona | Bonner, Carissa | Borges, Guilherme | Bourne, Rupert | Boussinesq, Michel | Brauer, Michael | Brooks, Peter | Bruce, Nigel G | Brunekreef, Bert | Bryan-Hancock, Claire | Bucello, Chiara | Buchbinder, Rachelle | Bull, Fiona | Burnett, Richard T | Byers, Tim E | Calabria, Bianca | Carapetis, Jonathan | Carnahan, Emily | Chafe, Zoe | Charlson, Fiona | Chen, Honglei | Chen, Jian Shen | Cheng, Andrew Tai-Ann | Child, Jennifer Christine | Cohen, Aaron | Colson, K Ellicott | Cowie, Benjamin C | Darby, Sarah | Darling, Susan | Davis, Adrian | Degenhardt, Louisa | Dentener, Frank | Des Jarlais, Don C | Devries, Karen | Dherani, Mukesh | Ding, Eric L | Dorsey, E Ray | Driscoll, Tim | Edmond, Karen | Ali, Suad Eltahir | Engell, Rebecca E | Erwin, Patricia J | Fahimi, Saman | Falder, Gail | Farzadfar, Farshad | Ferrari, Alize | Finucane, Mariel M | Flaxman, Seth | Fowkes, Francis Gerry R | Freedman, Greg | Freeman, Michael K | Gakidou, Emmanuela | Ghosh, Santu | Giovannucci, Edward | Gmel, Gerhard | Graham, Kathryn | Grainger, Rebecca | Grant, Bridget | Gunnell, David | Gutierrez, Hialy R | Hall, Wayne | Hoek, Hans W | Hogan, Anthony | Hosgood, H Dean | Hoy, Damian | Hu, Howard | Hubbell, Bryan J | Hutchings, Sally J | Ibeanusi, Sydney E | Jacklyn, Gemma L | Jasrasaria, Rashmi | Jonas, Jost B | Kan, Haidong | Kanis, John A | Kassebaum, Nicholas | Kawakami, Norito | Khang, Young-Ho | Khatibzadeh, Shahab | Khoo, Jon-Paul | Kok, Cindy | Laden, Francine | Lalloo, Ratilal | Lan, Qing | Lathlean, Tim | Leasher, Janet L | Leigh, James | Li, Yang | Lin, John Kent | Lipshultz, Steven E | London, Stephanie | Lozano, Rafael | Lu, Yuan | Mak, Joelle | Malekzadeh, Reza | Mallinger, Leslie | Marcenes, Wagner | March, Lyn | Marks, Robin | Martin, Randall | McGale, Paul | McGrath, John | Mehta, Sumi | Mensah, George A | Merriman, Tony R | Micha, Renata | Michaud, Catherine | Mishra, Vinod | Hanafiah, Khayriyyah Mohd | Mokdad, Ali A | Morawska, Lidia | Mozaff arian, Dariush | Murphy, Tasha | Naghavi, Mohsen | Neal, Bruce | Nelson, Paul K | Nolla, Joan Miquel | Norman, Rosana | Olives, Casey | Omer, Saad B | Orchard, Jessica | Osborne, Richard | Ostro, Bart | Page, Andrew | Pandey, Kiran D | Parry, Charles D H | Passmore, Erin | Patra, Jayadeep | Pearce, Neil | Pelizzari, Pamela M | Petzold, Max | Phillips, Michael R | Pope, Dan | Pope III, C Arden | Powles, John | Rao, Mayuree | Razavi, Homie | Rehfuess, Eva A | Rehm, Jürgen T | Ritz, Beate | Rivara, Frederick P | Roberts, Thomas | Robinson, Carolyn | Rodriguez-Portales, Jose A | Romieu, Isabelle | Room, Robin | Rosenfeld, Lisa C | Roy, Ananya | Rushton, Lesley | Salomon, Joshua A | Sampson, Uchechukwu | Sanchez-Riera, Lidia | Sanman, Ella | Sapkota, Amir | Seedat, Soraya | Shi, Peilin | Shield, Kevin | Shivakoti, Rupak | Singh, Gitanjali M | Sleet, David A | Smith, Emma | Smith, Kirk R | Stapelberg, Nicolas J C | Steenland, Kyle | Stöckl, Heidi | Stovner, Lars Jacob | Straif, Kurt | Straney, Lahn | Thurston, George D | Tran, Jimmy H | Van Dingenen, Rita | van Donkelaar, Aaron | Veerman, J Lennert | Vijayakumar, Lakshmi | Weintraub, Robert | Weissman, Myrna M | White, Richard A | Whiteford, Harvey | Wiersma, Steven T | Wilkinson, James D | Williams, Hywel C | Williams, Warwick | Wilson, Nicholas | Woolf, Anthony D | Yip, Paul | Zielinski, Jan M | Lopez, Alan D | Murray, Christopher J L | Ezzati, Majid
Lancet  2012;380(9859):2224-2260.
Summary
Background
Quantification of the disease burden caused by different risks informs prevention by providing an account of health loss different to that provided by a disease-by-disease analysis. No complete revision of global disease burden caused by risk factors has been done since a comparative risk assessment in 2000, and no previous analysis has assessed changes in burden attributable to risk factors over time.
Methods
We estimated deaths and disability-adjusted life years (DALYs; sum of years lived with disability [YLD] and years of life lost [YLL]) attributable to the independent effects of 67 risk factors and clusters of risk factors for 21 regions in 1990 and 2010. We estimated exposure distributions for each year, region, sex, and age group, and relative risks per unit of exposure by systematically reviewing and synthesising published and unpublished data. We used these estimates, together with estimates of cause-specific deaths and DALYs from the Global Burden of Disease Study 2010, to calculate the burden attributable to each risk factor exposure compared with the theoretical-minimum-risk exposure. We incorporated uncertainty in disease burden, relative risks, and exposures into our estimates of attributable burden.
Findings
In 2010, the three leading risk factors for global disease burden were high blood pressure (7·0% [95% uncertainty interval 6·2–7·7] of global DALYs), tobacco smoking including second-hand smoke (6·3% [5·5–7·0]), and alcohol use (5·5% [5·0–5·9]). In 1990, the leading risks were childhood underweight (7·9% [6·8–9·4]), household air pollution from solid fuels (HAP; 7·0% [5·6–8·3]), and tobacco smoking including second-hand smoke (6·1% [5·4–6·8]). Dietary risk factors and physical inactivity collectively accounted for 10·0% (95% UI 9·2–10·8) of global DALYs in 2010, with the most prominent dietary risks being diets low in fruits and those high in sodium. Several risks that primarily affect childhood communicable diseases, including unimproved water and sanitation and childhood micronutrient deficiencies, fell in rank between 1990 and 2010, with unimproved water we and sanitation accounting for 0·9% (0·4–1·6) of global DALYs in 2010. However, in most of sub-Saharan Africa childhood underweight, HAP, and non-exclusive and discontinued breastfeeding were the leading risks in 2010, while HAP was the leading risk in south Asia. The leading risk factor in Eastern Europe, most of Latin America, and southern sub-Saharan Africa in 2010 was alcohol use; in most of Asia, North Africa and Middle East, and central Europe it was high blood pressure. Despite declines, tobacco smoking including second-hand smoke remained the leading risk in high-income north America and western Europe. High body-mass index has increased globally and it is the leading risk in Australasia and southern Latin America, and also ranks high in other high-income regions, North Africa and Middle East, and Oceania.
Interpretation
Worldwide, the contribution of different risk factors to disease burden has changed substantially, with a shift away from risks for communicable diseases in children towards those for non-communicable diseases in adults. These changes are related to the ageing population, decreased mortality among children younger than 5 years, changes in cause-of-death composition, and changes in risk factor exposures. New evidence has led to changes in the magnitude of key risks including unimproved water and sanitation, vitamin A and zinc deficiencies, and ambient particulate matter pollution. The extent to which the epidemiological shift has occurred and what the leading risks currently are varies greatly across regions. In much of sub-Saharan Africa, the leading risks are still those associated with poverty and those that affect children.
Funding
Bill & Melinda Gates Foundation.
doi:10.1016/S0140-6736(12)61766-8
PMCID: PMC4156511  PMID: 23245609
2.  A consensus statement for safety monitoring guidelines of treatments for major depressive disorder 
Objective
This paper aims to present an overview of screening and safety considerations for the treatment of clinical depressive disorders and make recommendations for safety monitoring.
Method
Data were sourced by a literature search using MEDLINE and a manual search of scientific journals to identify relevant articles. Draft guidelines were prepared and serially revised in an iterative manner until all co-authors gave final approval of content.
Results
Screening and monitoring can detect medical causes of depression. Specific adverse effects associated with antidepressant treatments may be reduced or identified earlier by baseline screening and agent-specific monitoring after commencing treatment.
Conclusion
The adoption of safety monitoring guidelines when treating clinical depression is likely to improve overall physical health status and treatment outcome. It is important to implement these guidelines in the routine management of clinical depression.
doi:10.3109/00048674.2011.595686
PMCID: PMC3190838  PMID: 21888608

Results 1-2 (2)