Imperial College London

DrMichaelSoljak

Faculty of MedicineSchool of Public Health

Honorary Clinical Research Fellow
 
 
 
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Contact

 

+44 (0)20 7594 0772m.soljak Website

 
 
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Assistant

 

Ms Dorothea Cockerell +44 (0)20 7594 3368

 
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Location

 

323Reynolds BuildingCharing Cross Campus

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Summary

 

Publications

Publication Type
Year
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128 results found

Fang Y, Soljak M, Tan SLL, Peckham S, Tan TL, Smith HEet al., 2022, General practitioners' views on retaining Singapore's primary care doctors: a cross-sectional survey and qualitative analysis, BMC PRIMARY CARE, Vol: 23

Journal article

Fang Y, Soljak M, Tan SLL, Smith HEet al., 2022, Medical students' attitudes towards and views of general practice careers in Singapore: a cross-sectional survey and qualitative analysis, BMC Medical Education, Vol: 22, ISSN: 1472-6920

BackgroundLike many other countries, Singapore needs to support its ageing population by attracting more doctors into general practice (GP) and family medicine (FM). To achieve this requires a better understanding of what attracts or deters medical students. We conducted a cross-sectional survey among medical students in Singapore.MethodsAn online survey was distributed to students from all three medical schools to understand their likelihood of choosing primary care careers, what they valued in their careers, their attitude towards different aspects of general practice and family medicine relative to other medical fields, and the positive and negative perceptions of primary care held by themselves, their lecturers, and clinical mentors. They were able to elaborate the negativity encountered in the open-ended questions. Quantitative data was analyzed with descriptive statistics, principal component analysis, and linear regression; qualitative data was analyzed thematically.ResultsThe survey was completed by 391 students. Slightly over half indicated a likelihood of choosing a career in primary care. For their own careers, the students valued job satisfaction and career development opportunities the most. They perceived careers in primary care as being most likely to offer reasonable hours and close patient relationships, but least likely to offer career advancement potential relative to other medical fields. Their likelihood of choosing primary care careers was significantly predicted by what they value in their own career and their attitudes toward GP/FM relative to other medical fields, but not by the perceptions of GP/FM by others. Free-text responses illustrated how students encounter derogatory comments about GP/FM: the work being “mundane and repetitive”, the careers non-competitive, and the doctors poor in clinical competence.ConclusionWhile the shortage of primary care doctors is a global issue, our findings highlight the value of situating inqui

Journal article

Soljak M, Majeed A, 2022, Reducing the covid-19 isolation period in England: a policy change that needs careful evaluation., BMJ: British Medical Journal, Vol: 376, Pages: o184-o184, ISSN: 0959-535X

Journal article

Harpaz D, Bajpai R, Ng GJL, Soljak M, Marks RS, Cheung C, Arumugam TV, Quek AML, Tok AIY, Seet RCSet al., 2021, Blood biomarkers to detect new-onset atrial fibrillation and cardioembolism in ischemic stroke patients, HEART RHYTHM, Vol: 18, Pages: 855-861, ISSN: 1547-5271

Journal article

Nazeha N, Sathish T, Soljak M, Dunleavy G, Visvalingam N, Divakar U, Bajpai RC, Soh CK, Christopoulos G, Car Jet al., 2021, A Comparative Study of International and Asian Criteria for Overweight or Obesity at Workplaces in Singapore, ASIA-PACIFIC JOURNAL OF PUBLIC HEALTH, Vol: 33, Pages: 404-410, ISSN: 1010-5395

Journal article

Soljak M, 2021, Occupation is still an important health determinant, BMJ-BRITISH MEDICAL JOURNAL, Vol: 372, ISSN: 0959-535X

Journal article

Soriano JB, Kendrick PJ, Paulson KR, Gupta V, Abrams EM, Adedoyin RA, Adhikari TB, Advani SM, Agrawal A, Ahmadian E, Alahdab F, Aljunid SM, Altirkawi KA, Alvis-Guzman N, Anber NH, Andrei CL, Anjomshoa M, Ansari F, Antó JM, Arabloo J, Athari SM, Athari SS, Awoke N, Badawi A, Banoub JAM, Bennett DA, Bensenor IM, Berfield KSS, Bernstein RS, Bhattacharyya K, Bijani A, Brauer M, Bukhman G, Butt ZA, Cámera LA, Car J, Carrero JJ, Carvalho F, Castañeda-Orjuela CA, Choi J-YJ, Christopher DJ, Cohen AJ, Dandona L, Dandona R, Dang AK, Daryani A, de Courten B, Demeke FM, Demoz GT, De Neve J-W, Desai R, Dharmaratne SD, Diaz D, Douiri A, Driscoll TR, Duken EE, Eftekhari A, Elkout H, Endries AY, Fadhil I, Faro A, Farzadfar F, Fernandes E, Filip I, Fischer F, Foroutan M, Garcia-Gordillo MA, Gebre AK, Gebremedhin KB, Gebremeskel GG, Gezae KE, Ghoshal AG, Gill PS, Gillum RF, Goudarzi H, Guo Y, Gupta R, Hailu GB, Hasanzadeh A, Hassen HY, Hay SI, Hoang CL, Hole MK, Horita N, Hosgood HD, Hostiuc M, Househ M, Ilesanmi OS, Ilic MD, Irvani SSN, Islam SMS, Jakovljevic M, Jamal AA, Jha RP, Jonas JB, Kabir Z, Kasaeian A, Kasahun GG, Kassa GM, Kefale AT, Kengne AP, Khader YS, Khafaie MA, Khan EA, Khan J, Khubchandani J, Kim Y-E, Kim YJ, Kisa S, Kisa A, Knibbs LD, Komaki H, Koul PA, Koyanagi A, Kumar GA, Lan Q, Lasrado S, Lauriola P, La Vecchia C, Le TT, Leigh J, Levi M, Li S, Lopez AD, Lotufo PA, Madotto F, Mahotra NB, Majdan M, Majeed A, Malekzadeh R, Mamun AA, Manafi N, Manafi F, Mantovani LG, Meharie BG, Meles HG, Meles GG, Menezes RG, Mestrovic T, Miller TR, Mini GK, Mirrakhimov EM, Moazen B, Mohammad KA, Mohammed S, Mohebi F, Mokdad AH, Molokhia M, Monasta L, Moradi M, Moradi G, Morawska L, Mousavi SM, Musa KI, Mustafa G, Naderi M, Naghavi M, Naik G, Nair S, Nangia V, Nansseu JR, Nazari J, Ndwandwe DE, Negoi RI, Nguyen TH, Nguyen CT, Nguyen HLT, Nixon MR, Ofori-Asenso R, Ogbo FA, Olagunju AT, Olagunju TO, Oren E, Ortiz JR, Owolabi MO, P A M, Pakhale S, Pana A, Panda-Jonas S, Park E-K, Phamet al., 2020, Prevalence and attributable health burden of chronic respiratory diseases, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017, The Lancet Respiratory Medicine, Vol: 8, Pages: 585-596, ISSN: 2213-2600

BackgroundPrevious attempts to characterise the burden of chronic respiratory diseases have focused only on specific disease conditions, such as chronic obstructive pulmonary disease (COPD) or asthma. In this study, we aimed to characterise the burden of chronic respiratory diseases globally, providing a comprehensive and up-to-date analysis on geographical and time trends from 1990 to 2017.MethodsUsing data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017, we estimated the prevalence, morbidity, and mortality attributable to chronic respiratory diseases through an analysis of deaths, disability-adjusted life-years (DALYs), and years of life lost (YLL) by GBD super-region, from 1990 to 2017, stratified by age and sex. Specific diseases analysed included asthma, COPD, interstitial lung disease and pulmonary sarcoidosis, pneumoconiosis, and other chronic respiratory diseases. We also assessed the contribution of risk factors (smoking, second-hand smoke, ambient particulate matter and ozone pollution, household air pollution from solid fuels, and occupational risks) to chronic respiratory disease-attributable DALYs.FindingsIn 2017, 544·9 million people (95% uncertainty interval [UI] 506·9–584·8) worldwide had a chronic respiratory disease, representing an increase of 39·8% compared with 1990. Chronic respiratory disease prevalence showed wide variability across GBD super-regions, with the highest prevalence among both males and females in high-income regions, and the lowest prevalence in sub-Saharan Africa and south Asia. The age-sex-specific prevalence of each chronic respiratory disease in 2017 was also highly variable geographically. Chronic respiratory diseases were the third leading cause of death in 2017 (7·0% [95% UI 6·8–7·2] of all deaths), behind cardiovascular diseases and neoplasms. Deaths due to chronic respiratory diseases numbered 3 914 196 (95% UI 3 790 578–

Journal article

Divakar U, Sathish T, Soljak M, Bajpai R, Dunleavy G, Visvalingam N, Nazeha N, Soh CK, Christopoulos G, Car Jet al., 2019, Prevalence of vitamin D deficiency and its associated work-related factors among indoor workers in a multi-ethnic Southeast Asian Country, International Journal of Environmental Research and Public Health, Vol: 17, ISSN: 1660-4601

Little is known about the effect of working conditions on vitamin D status in Southeast Asia, where vitamin D deficiency is common despite the presence of sunlight all year round in most places. We examined the prevalence of vitamin D deficiency and its associated work-related factors among indoor workers using the data of 213 participants (aged ≥21 years) from a workplace cohort study in Singapore. Vitamin D deficiency was defined as serum 25-hydroxyvitamin D (25(OH)D) concentration <50 nmol/L. Data on work-related factors, socio-demographic characteristics, and lifestyle habits were collected using standardized questionnaires. Clinical and biochemical measurements were performed using standard tools and protocols. Multivariate Poisson regression was used to examine the independent association of work-related factors with vitamin D deficiency. Mean serum 25(OH)D concentration was 59.6 nmol/L. The prevalence of vitamin D deficiency was 32.9% (95% confidence interval (CI): 26.6-39.6%). In the multivariate analysis, office workers (prevalence ratio (PR): 2.16, 95% CI: 1.12-4.16 versus control room workers), workshop workers (PR: 2.25, 95% CI: 1.05-4.81 versus control room workers), and night shift workers (PR: 1.31, 95% CI: 1.03-1.67) were at a greater risk for vitamin D deficiency. Workplace policies and wellness programs should encourage workers to take regular breaks to go outdoors for sunlight exposure and to consume adequate amounts of vitamin D-rich foods to maintain optimal vitamin D levels.

Journal article

Visvalingam N, Sathish T, Soljak M, Ping CA, Dunleavy G, Divakar U, Nazeha N, Bajpai R, Soh CK, Woon KK, Christopoulos G, Car Jet al., 2019, Prevalence of and factors associated with poor sleep quality and short sleep in a working population in Singapore, Sleep Health, ISSN: 2352-7218

ObjectivesWe aimed to examine the prevalence of poor sleep quality and short sleep and their associated factors in a working population in Singapore.DesignThis is a cross-sectional analysis.SettingFour companies in Singapore were included in this study.ParticipantsParticipants included 464 full-time employees (aged ≥21 years).MeasurementsSelf-reported sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). Self-administered questionnaires were used to collect data on sociodemographic characteristics, health behaviours, medical history, chronotype, psychosocial factors, health-related quality of life (HRQoL) and occupational factors. Clinical measurements were performed using standard tools and protocols. Multivariate logistic regression was used to examine the factors associated with poor sleep quality (PSQI global score >5) and short sleep (<7 hours/night).ResultsThe mean age was 39.0 (SD: 11.4) years, and 79.5% were men. The prevalence of poor sleep quality was 42.5%, and 66.2% were short sleepers. Nearly three-fourths (71.3%) had at least one of these two conditions. Age, Malay ethnicity (vs. Chinese), chronic conditions, poorer mental health, stress at home or work and shift work were positively associated, and mental component summary of the HRQoL scale and work years in the current company were negatively associated with poor sleep quality. Age, Malay and Indian ethnicities (vs. Chinese), longer dinner-to-bed time, snacking between dinner and bed time, and poorer mental health were positively associated with short sleep.ConclusionsPoor sleep quality and short sleep were highly common in this working population in Singapore. Workplace policies should include education and intervention programmes to promote better sleep hygiene.

Journal article

Sathish T, Dunleavy G, Soljak M, Visvalingam N, Nazeha N, Divakar U, Bajpai R, Thuan-Quoc T, Cheung KL, de Vries H, Soh C-K, Christopoulos G, Car Jet al., 2019, Risk factors for non-communicable diseases at baseline and their short-Term changes in a workplace cohort in Singapore, International Journal of Environmental Research and Public Health, Vol: 16, Pages: 1-11, ISSN: 1660-4601

We aimed to examine the behavioural and clinical risk factors for non-communicable diseases (NCDs) at baseline and their changes over 12 months in a workplace cohort in Singapore. A total of 464 full-time employees (age ≥ 21 years) were recruited from a variety of occupational settings, including offices, control rooms, and workshops. Of these, 424 (91.4%) were followed-up at three months and 334 (72.0%) were followed up at 12 months. Standardized questionnaires were used to collect data on health behaviours and clinical measurements were performed by trained staff using standard instruments and protocols. Age-adjusted changes in risk factors over time were examined using generalized estimating equations or linear mixed-effects models where appropriate. The mean age of the participants at baseline was 39.0 (SD: 11.4) years and 79.5% were men. Nearly a quarter (24.4%) were current smokers, slightly more than half (53.5%) were alcohol drinkers, two-thirds (66%) were consuming <5 servings of fruit and vegetables per day, and 23.1% were physically inactive. More than two-thirds (67%) were overweight or obese and 34.5% had central obesity. The mean follow-up was 8.6 months. After adjusting for age, over 12 months, there was a significant increase in the proportion consuming <5 servings of fruit and vegetables per day by 33% (p = 0.030), who were physically inactive by 64% (p < 0.001), and of overweight or obese people by 15% (p = 0.018). The burden of several key NCD risk factors at baseline was high and some worsened within a short period of time in this working population. There is a need for more targeted strategies for behaviour change towards a healthy lifestyle as part of the ongoing health and wellness programs at workplaces in Singapore. View Full-Text

Journal article

Dunleavy G, Sathish T, Nazeha N, Soljak M, Visvalingam N, Bajpai R, Yap HS, Roberts AC, Quoc TT, Tonon AC, Christopoulos G, Soh C-K, Cheung KL, de Vries H, Car Jet al., 2019, Health Effects of Underground Workspaces (HEUW) cohort in Singapore: study design and baseline characteristics, Epidemiology and Health, Vol: 41, ISSN: 2092-7193

The development of underground workspaces is a strategic effort towards healthy urban growth in ever-increasing land-scarce cities. Despite the growth in underground workspaces, there is limited information regarding the impact of this environment on worker’s health. The Health Effects of Underground Workspaces (HEUW) study is a cohort study which was set up to examine the health effects of working in underground workspaces. In this paper, we describe the rationale for the study, study design, data collection and baseline characteristics of participants. The HEUW study recruited 464 participants at baseline, of which 424 (91.4%) were followed-up at three months, and 334 (72.0%) after 12 months from baseline. We used standardized and validated questionnaires to collect information on socio-demographic and lifestyle characteristics, medical history, family history of chronic diseases, sleep quality, health-related quality of life, chronotype, psychological distress, occupational factors, and comfort levels with indoor environmental quality parameters. Clinical and anthropometric parameters including blood pressure, spirometry, height, weight, waist and hip circumference were also measured. Biochemical tests of participant’s blood and urine samples were conducted to measure glucose, lipids and melatonin levels. We also conducted objective measurements of an individual’s workplace environment, assessing air quality, light intensity, temperature, thermal comfort, bacterial and fungal counts. Findings from this study will help to identify modifiable lifestyle and environmental parameters that are negatively affecting worker’s health. The findings may be used to guide the development of more health-promoting workspaces that attempt to negate any potential negative health effects from working in underground workspaces.

Journal article

Khaing NEE, Abuduxike G, Posadzki P, Divakar U, Visvalingam N, Nazeha N, Dunleavy G, Christopoulos GI, Soh C-K, Jarbrink K, Soljak M, Car Jet al., 2019, Review of the potential health effects of light and environmental exposures in underground workplaces, TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, Vol: 84, Pages: 201-209, ISSN: 0886-7798

Journal article

Martinengo L, Olsson M, Bajpai R, Soljak M, Upton Z, Schmidtchen A, Car J, Järbrink Ket al., 2019, Prevalence of chronic wounds in the general population: Systematic review and meta-analysis of observational studies, Annals of Epidemiology, Vol: 29, Pages: 8-15, ISSN: 1047-2797

Purpose Chronic wounds are a major public health challenge, but little is known about the true burden with studies reporting different estimates due to disparities in study designs and measurement methods. This hampers efficient resource allocation, planning and improvement of wound care Methods Our study aimed to pool prevalence estimates from a global perspective by systematically carrying out searches in MEDLINE, EMBASE, Cochrane, CINAHL, Global Health, and PsycINFO databases for papers reporting the prevalence of chronic wounds in adults, from January 2000 to June 2018. The included publications had to define wound chronicity by duration (≥3 weeks), and/or labelling the wounds as chronic, complex or hard-to-heal. Results Seventeen studies met the inclusion criteria, and 11 studies analysing chronic wounds in the general population were included in random effects meta-analyses to calculate pooled prevalence. Chronic wounds of mixed aetiologies (n=3) showed a pooled prevalence of 2.21 per 1,000 population, and for chronic leg ulcers (n=9) the prevalence was estimated at 1.51 per 1,000 population. Conclusions Our findings, aligned to previous studies reporting point prevalence of chronic wounds identified within the healthcare system, showed that the vast majority of chronic wounds in epidemiological studies are made up by chronic leg ulcers.

Journal article

Feigin VL, Nguyen G, Cercy K, Johnson CO, Alam T, Parmar PG, Abajobir AA, Abate KH, Abd-Allah F, Abejie AN, Abyu GY, Ademi Z, Agarwal G, Ahmed MB, Akinyemi RO, Al-Raddadi R, Aminde LN, Amlie-Lefond C, Ansari H, Asayesh H, Asgedom SW, Atey TM, Ayele HT, Banach M, Banerjee A, Barac A, Barker-Collo SL, Barnighausen T, Barregard L, Basu S, Bedi N, Behzadifar M, Bejot Y, Bennett DA, Bensenor IM, Berhe DF, Boneya DJ, Brainin M, Campos-Nonato IR, Caso V, Castaneda-Orjuela CA, Rivas JC, Catala-Lopez F, Christensen H, Criqui MH, Damasceno A, Dandona L, Dandona R, Davletov K, de Courten B, deVeber G, Dokova K, Edessa D, Endres M, Faraon EJA, Farvid MS, Fischer F, Foreman K, Forouzanfar MH, Gall SL, Gebrehiwot TT, Geleijnse JM, Gillum RF, Giroud M, Goulart AC, Gupta R, Gupta R, Hachinski V, Hamadeh RR, Hankey GJ, Hareri HA, Havmoeller R, Hay SI, Hegazy MI, Hibstu DT, James SL, Jeemon P, John D, Jonas JB, Jozwiak J, Kalani R, Kandel A, Kasaeian A, Kengne AP, Khader YS, Khan AR, Khang Y-H, Khubchandani J, Kim D, Kim YJ, Kivimaki M, Kokubo Y, Kolte D, Kopec JA, Kosen S, Kravchenko M, Krishnamurthi R, Kumar GA, Lafranconi A, Lavados PM, Legesse Y, Li Y, Liang X, Lo WD, Lorkowski S, Lotufo PA, Loy CT, Mackay MT, Abd El Razek HM, Mahdavi M, Majeed A, Malekzadeh R, Malta DC, Mamun AA, Mantovani LG, Martins SCO, Mate KK, Mazidi M, Mehata S, Meier T, Melaku YA, Mendoza W, Mensah GA, Meretoja A, Mezgebe HB, Miazgowski T, Miller TR, Ibrahim NM, Mohammed S, Mokdad AH, Moosazadeh M, Moran AE, Musa KI, Negoi RI, Minh N, Nguyen QL, Nguyen TH, Tran TT, Nguyen TT, Ningrum DNA, Norrving B, Noubiap JJ, O'Donnell MJ, Olagunju AT, Onuma OK, Owolabi MO, Parsaeian M, Patton GC, Piradov M, Pletcher MA, Pourmalek F, Prakash V, Qorbani M, Rahman M, Rahman MA, Rai RK, Ranta A, Rawaf D, Rawaf S, Renzaho AMN, Robinson SR, Sahathevan R, Sahebkar A, Salomon JA, Santalucia P, Santos IS, Sartorius B, Schutte AE, Sepanlou SG, Shafieesabet A, Shaikh MA, Shamsizadeh M, Sheth KN, Sisay M, Shin M-J, Shiue I, Silvaet al., 2018, Global, regional, and country-specific lifetime risks of stroke, 1990 and 2016, New England Journal of Medicine, Vol: 379, Pages: 2429-2437, ISSN: 0028-4793

BackgroundThe lifetime risk of stroke has been calculated in a limited number of selected populations. We sought to estimate the lifetime risk of stroke at the regional, country, and global level using data from a comprehensive study of the prevalence of major diseases.MethodsWe used the Global Burden of Disease (GBD) Study 2016 estimates of stroke incidence and the competing risks of death from any cause other than stroke to calculate the cumulative lifetime risks of first stroke, ischemic stroke, or hemorrhagic stroke among adults 25 years of age or older. Estimates of the lifetime risks in the years 1990 and 2016 were compared. Countries were categorized into quintiles of the sociodemographic index (SDI) used in the GBD Study, and the risks were compared across quintiles. Comparisons were made with the use of point estimates and uncertainty intervals representing the 2.5th and 97.5th percentiles around the estimate.ResultsThe estimated global lifetime risk of stroke from the age of 25 years onward was 24.9% (95% uncertainty interval, 23.5 to 26.2); the risk among men was 24.7% (95% uncertainty interval, 23.3 to 26.0), and the risk among women was 25.1% (95% uncertainty interval, 23.7 to 26.5). The risk of ischemic stroke was 18.3%, and the risk of hemorrhagic stroke was 8.2%. In high-SDI, high-middle–SDI, and low-SDI countries, the estimated lifetime risk of stroke was 23.5%, 31.1% (highest risk), and 13.2% (lowest risk), respectively; the 95% uncertainty intervals did not overlap between these categories. The highest estimated lifetime risks of stroke according to GBD region were in East Asia (38.8%), Central Europe (31.7%), and Eastern Europe (31.6%), and the lowest risk was in eastern sub-Saharan Africa (11.8%). The mean global lifetime risk of stroke increased from 22.8% in 1990 to 24.9% in 2016, a relative increase of 8.9% (95% uncertainty interval, 6.2 to 11.5); the competing risk of death from any cause other than stroke was considered in this calcul

Journal article

Kyu HH, Abate D, Abate KH, Abay SM, Abbafati C, Abbasi N, Abbastabar H, Abd-Allah F, Abdela J, Abdelalim A, Abdollahpour I, Abdulkader RS, Abebe M, Abebe Z, Abil OZ, Aboyans V, Abrham AR, Abu-Raddad LJ, Abu-Rmeileh NME, Accrombessi MMK, Acharya D, Acharya P, Ackerman IN, Adamu AA, Adebayo OM, Adekanmbi V, Ademi Z, Adetokunboh OO, Adib MG, Adsuar JC, Afanvi KA, Afarideh M, Afshin A, Agarwal G, Agesa KM, Aggarwal R, Aghayan SA, Agrawal A, Ahmadi A, Ahmadi M, Ahmadieh H, Ahmed MB, Ahmed S, Aichour AN, Aichour I, Aichour MTE, Akinyemiju T, Akseer N, Ayman ZA-A, Al-Eyadhy A, Al-Mekhlafi HM, Al-Raddadi RM, Alahdab F, Alam K, Alam T, Alashi A, Alavian SM, Alene KA, Alijanzadeh M, Alizadeh-Navaei R, Aljunid SM, Alkerwi A, Alla F, Allebeck P, Alonso J, Alsharif U, Altirkawi K, Alvis-Guzman N, Aminde LN, Amini E, Amiresmaili M, Ammar W, Amoako YA, Anber NH, Andrei CL, Androudi S, Animut MD, Anjomshoa M, Ansha MG, Antonio CAT, Anwari P, Arabloo J, Aremu O, Arnlov J, Arora A, Arora M, Artaman A, Aryal KK, Asayesh H, Ataro Z, Ausloos M, Avila-Burgos L, Avokpaho EFGA, Awasthi A, Quintanilla BPA, Ayer R, Azzopardi PS, Babazadeh A, Badali H, Balakrishnan K, Bali AG, Banach M, Banoub JAM, Barac A, Barboza MA, Barker-Collo SL, Bamighausen TW, Barquera S, Barrero LH, Bazargan-Hejazi S, Bedi N, Beghi E, Behzadifar M, Behzadifar M, Bekele BB, Bekru ET, Belachew AB, Belay YA, Bell ML, Bello AK, Bennett DA, Bensenor IM, Berhane A, Bernabe E, Bernstein RS, Beuran M, Beyranvand F, Bhala N, Bhatt S, Bhaumik S, Bhutta ZA, Biadgo B, Biehl MH, Bijani A, Bikbov B, Bilano V, Bililign N, Bin Sayeed MS, Bisanzio D, Bjorge T, Bleyer A, Bobasa EM, Bou-Orm IR, Boufous S, Bourne R, Brady OJ, Brant LC, Brayne C, Brazinova A, Breitborde NJK, Brenner H, Briant PS, Briko AN, Britton G, Brugha T, Buchbinder R, Busse R, Butt ZA, Cahuana-Hurtado L, Rincon JCC, Cano J, Cardenas R, Carrero JJ, Carter A, Carvalho F, Castaneda-Orjuela CA, Rivas JC, Castro F, Catala-Lopez F, Cercy KM, Cerin E, Chaiah Y, Chang J-Cet al., 2018, Global, regional, and national disability-adjusted life-years (DALYs) for 359 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017, The Lancet, Vol: 392, Pages: 1859-1922, ISSN: 0140-6736

BackgroundHow long one lives, how many years of life are spent in good and poor health, and how the population's state of health and leading causes of disability change over time all have implications for policy, planning, and provision of services. We comparatively assessed the patterns and trends of healthy life expectancy (HALE), which quantifies the number of years of life expected to be lived in good health, and the complementary measure of disability-adjusted life-years (DALYs), a composite measure of disease burden capturing both premature mortality and prevalence and severity of ill health, for 359 diseases and injuries for 195 countries and territories over the past 28 years.MethodsWe used data for age-specific mortality rates, years of life lost (YLLs) due to premature mortality, and years lived with disability (YLDs) from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 to calculate HALE and DALYs from 1990 to 2017. We calculated HALE using age-specific mortality rates and YLDs per capita for each location, age, sex, and year. We calculated DALYs for 359 causes as the sum of YLLs and YLDs. We assessed how observed HALE and DALYs differed by country and sex from expected trends based on Socio-demographic Index (SDI). We also analysed HALE by decomposing years of life gained into years spent in good health and in poor health, between 1990 and 2017, and extra years lived by females compared with males.FindingsGlobally, from 1990 to 2017, life expectancy at birth increased by 7·4 years (95% uncertainty interval 7·1–7·8), from 65·6 years (65·3–65·8) in 1990 to 73·0 years (72·7–73·3) in 2017. The increase in years of life varied from 5·1 years (5·0–5·3) in high SDI countries to 12·0 years (11·3–12·8) in low SDI countries. Of the additional years of life expected at birth, 26·3% (20·1&ndash

Journal article

James SL, Abate D, Abate KH, Abay SM, Abbafati C, Abbasi N, Abbastabar H, Abd-Allah F, Abdela J, Abdelalim A, Abdollahpour I, Abdulkader RS, Abebe Z, Abera SF, Abil OZ, Abraha HN, Abu-Raddad LJ, Abu-Rmeileh NME, Accrombessi MMK, Acharya D, Acharya P, Ackerman IN, Adamu AA, Adebayo OM, Adekanmbi V, Adetokunboh OO, Adib MG, Adsuar JC, Afanvi KA, Afarideh M, Afshin A, Agarwal G, Agesa KM, Aggarwal R, Aghayan SA, Agrawal S, Ahmadi A, Ahmadi M, Ahmadieh H, Ahmed MB, Aichour AN, Aichour I, Aichour MTE, Akinyemiju T, Akseer N, Al-Aly Z, Al-Eyadhy A, Al-Mekhlafi HM, Al-Raddadi RM, Alahdab F, Alam K, Alam T, Alashi A, Alavian SM, Alene KA, Alijanzadeh M, Alizadeh-Navaei R, Aljunid SM, Alkerwi A, Alla F, Allebeck P, Alouani MML, Altirkawi K, Alvis-Guzman N, Amare AT, Aminde LN, Ammar W, Amoako YA, Anber NH, Andrei CL, Androudi S, Animut MD, Anjomshoa M, Ansha MG, Antonio CAT, Anwari P, Arabloo J, Arauz A, Aremu O, Ariani F, Armoon B, Ärnlöv J, Arora A, Artaman A, Aryal KK, Asayesh H, Asghar RJ, Ataro Z, Atre SR, Ausloos M, Avila-Burgos L, Avokpaho EFGA, Awasthi A, Ayala Quintanilla BP, Ayer R, Azzopardi PS, Babazadeh A, Badali H, Badawi A, Bali AGet al., 2018, Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017, The Lancet, Vol: 392, Pages: 1789-1858, ISSN: 0140-6736

BackgroundThe Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD 2017) includes a comprehensive assessment of incidence, prevalence, and years lived with disability (YLDs) for 354 causes in 195 countries and territories from 1990 to 2017. Previous GBD studies have shown how the decline of mortality rates from 1990 to 2016 has led to an increase in life expectancy, an ageing global population, and an expansion of the non-fatal burden of disease and injury. These studies have also shown how a substantial portion of the world's population experiences non-fatal health loss with considerable heterogeneity among different causes, locations, ages, and sexes. Ongoing objectives of the GBD study include increasing the level of estimation detail, improving analytical strategies, and increasing the amount of high-quality data.MethodsWe estimated incidence and prevalence for 354 diseases and injuries and 3484 sequelae. We used an updated and extensive body of literature studies, survey data, surveillance data, inpatient admission records, outpatient visit records, and health insurance claims, and additionally used results from cause of death models to inform estimates using a total of 68 781 data sources. Newly available clinical data from India, Iran, Japan, Jordan, Nepal, China, Brazil, Norway, and Italy were incorporated, as well as updated claims data from the USA and new claims data from Taiwan (province of China) and Singapore. We used DisMod-MR 2.1, a Bayesian meta-regression tool, as the main method of estimation, ensuring consistency between rates of incidence, prevalence, remission, and cause of death for each condition. YLDs were estimated as the product of a prevalence estimate and a disability weight for health states of each mutually exclusive sequela, adjusted for comorbidity. We updated the Socio-demographic Index (SDI), a summary development indicator of income per capita, years of schooling, and total fertility rate. Additionally, we calcula

Journal article

Lozano R, Fullman N, Abate D, Abay SM, Abbafati C, Abbasi N, Abbastabar H, Abd-Allah F, Abdela J, Abdelalim A, Abdel-Rahman O, Abdi A, Abdollahpour I, Abdulkader RS, Abebe ND, Abebe Z, Abejie AN, Abera SF, Abil OZ, Aboyans V, Abraha HN, Abrham AR, Abu-Raddad LJ, Abu-Rmeileh NM, Abyu GY, Accrombessi MMK, Acharya D, Acharya P, Adamu AA, Adebayo OM, Adedeji IA, Adedoyin RA, Adekanmbi V, Adetokunboh OO, Adhena BM, Adhikari TB, Adib MG, Adou AK, Adsuar JC, Afarideh M, Afshari M, Afshin A, Agarwal G, Aghayan SA, Agius D, Agrawal A, Agrawal S, Ahmadi A, Ahmadi M, Ahmadieh H, Ahmed MB, Ahmed S, Akalu TY, Akanda AS, Akbari ME, Akibu M, Akinyemi RO, Akinyemiju T, Akseer N, Alahdab F, Al-Aly Z, Alam K, Alam T, Albujeer A, Alebel A, Alene KA, Al-Eyadhy A, Alhabib S, Ali R, Alijanzadeh M, Alizadeh-Navaei R, Aljunid SM, Alkerwi A, Alla F, Allebeck P, Allen CA, Almasi A, Al-Maskari F, Al-Mekhlafi HM, Alonso J, Al-Raddadi RM, Alsharif U, Altirkawi K, Alvis-Guzman N, Amare AT, Amenu K, Amini E, Ammar W, Anber NH, Anderson JA, Andrei CL, Androudi S, Animut MD, Anjomshoa M, Ansari H, Ansariadi A, Ansha MG, Antonio CAT, Anwari P, Appiah LT, Aremu O, Areri HA, Ärnlöv J, Arora M, Aryal KK, Asayesh H, Asfaw ET, Asgedom SW, Asghar RJ, Assadi R, Ataro Z, Atique S, Atre SR, Atteraya MS, Ausloos M, Avila-Burgos L, Avokpaho EFGA, Awasthi A, Ayala Quintanilla BP, Ayele HT, Ayele Y, Ayer R, Azarpazhooh MR, Azzopardi PS, Azzopardi-Muscat N, Babalola TK, Babazadeh A, Badali H, Badawi A, Balakrishnan K, Bali AG, Banach M, Banerjee A, Banoub JAM, Banstola A, Barac A, Barboza MA, Barker-Collo SL, Bärnighausen TW, Barrero LH, Barthelemy CM, Bassat Q, Basu A, Basu S, Battista RJ, Baune BT, Baynes HW, Bazargan-Hejazi S, Bedi N, Beghi E, Behzadifar M, Behzadifar M, Béjot Y, Bekele BB, Belachew AB, Belay AG, Belay SA, Belay YA, Bell ML, Bello AK, Bennett DA, Bensenor IM, Benzian H, Berhane A, Berhe AK, Berman AE, Bernabe E, Bernstein RS, Bertolacci GJ, Beuran M, Beyranvand T, Bhala N, Bhalla A, Bhansali Aet al., 2018, Measuring progress from 1990 to 2017 and projecting attainment to 2030 of the health-related Sustainable Development Goals for 195 countries and territories: a systematic analysis for the Global Burden of Disease Study 2017, The Lancet, Vol: 392, Pages: 2091-2138, ISSN: 0140-6736

BackgroundEfforts to establish the 2015 baseline and monitor early implementation of the UN Sustainable Development Goals (SDGs) highlight both great potential for and threats to improving health by 2030. To fully deliver on the SDG aim of “leaving no one behind”, it is increasingly important to examine the health-related SDGs beyond national-level estimates. As part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD 2017), we measured progress on 41 of 52 health-related SDG indicators and estimated the health-related SDG index for 195 countries and territories for the period 1990–2017, projected indicators to 2030, and analysed global attainment.MethodsWe measured progress on 41 health-related SDG indicators from 1990 to 2017, an increase of four indicators since GBD 2016 (new indicators were health worker density, sexual violence by non-intimate partners, population census status, and prevalence of physical and sexual violence [reported separately]). We also improved the measurement of several previously reported indicators. We constructed national-level estimates and, for a subset of health-related SDGs, examined indicator-level differences by sex and Socio-demographic Index (SDI) quintile. We also did subnational assessments of performance for selected countries. To construct the health-related SDG index, we transformed the value for each indicator on a scale of 0–100, with 0 as the 2·5th percentile and 100 as the 97·5th percentile of 1000 draws calculated from 1990 to 2030, and took the geometric mean of the scaled indicators by target. To generate projections through 2030, we used a forecasting framework that drew estimates from the broader GBD study and used weighted averages of indicator-specific and country-specific annualised rates of change from 1990 to 2017 to inform future estimates. We assessed attainment of indicators with defined targets in two ways: first, using mean values projected fo

Journal article

Su B, Newson R, Soljak H, Soljak Met al., 2018, Associations between postoperative rehabilitation of hip fracture and outcomes: national database analysis (vol 19, 211, 2018), BMC MUSCULOSKELETAL DISORDERS, Vol: 19, ISSN: 1471-2474

Journal article

Su B, Newson R, Soljak H, Soljak Met al., 2018, Associations between post-operative rehabilitation of hip fracture and outcomes: national database analysis (90 characters), BMC Musculoskeletal Disorders, Vol: 19, ISSN: 1471-2474

Rehabilitation programmes are used to improve hip fracture outcomes. There is little published trial clinical trial or population-based data on the effects of the type or provider of rehabilitation treatments on hip fracture outcomes. We evaluated the associations of rehabilitation interventions with post-operative hip fracture outcomes.

Journal article

Huang Z, Soljak M, Boehm BO, Car Jet al., 2018, Clinical relevance of smartphone apps for diabetes management: a global overview, Diabetes/Metabolism Research and Reviews, Vol: 34, ISSN: 1520-7560

AIMS: We assessed the number, proportion and clinical relevance of diabetes self-management apps in major languages spoken by ten countries with the greatest number of people with diabetes. METHODS: China, India, USA, Brazil, Russian Federation, Mexico, Indonesia, Egypt, Japan and Pakistan were identified as the ten countries with the largest number of people with diabetes based on the latest NCD-RisC survey. Android and iOS apps in the ten national languages were extracted with a search strategy. App titles and descriptions were systematically screened by trained reviewers, including apps specific for diabetes self-management and excluding apps for healthcare providers, general well-being, health and product promotion and traditional cure. Eighteen apps in the above languages were then downloaded based on availability and popularity, and assessed for clinical relevance to diabetes self-management with reference to current clinical guidelines. RESULTS: The diabetes-related search terms identified 3374 Android and 4477 iOS apps, where 1019 Android and 1303 iOS apps were screened as being relevant for diabetes self-management. Chinese and English language apps constitute above 80% of the diabetes apps, have more downloads, and more comprehensive clinically relevant functions compared to other languages. None of the apps assessed met all criteria for information provision and app functionalities, nor provided information cited from accredited sources. CONCLUSIONS: Our study showed that apps could play an important role in complementing multifaceted diabetes care, but should preferably be regulated, context specific and more tailored to users' needs with clear guidance for patients and clinicians about the choices.

Journal article

Posadzki PP, Baipai R, Myint Kyaw B, Roberts N, Brezezinski A, Christopoulos GI, Woon Kwok K, Diyakar U, Baipai S, Soljak M, Dunleavy G, Jarbrink K, Khaing Nang EE, Kiong Soh C, Car Jet al., 2018, Melatonin and health: an umbrella review of health outcomes and biological mechanisms of action, BMC Medicine, Vol: 16, ISSN: 1741-7015

Background: Our aims were to evaluate critically the evidence from systematic reviews as well as narrative reviewsof the effects of melatonin (MLT) on health and to identify the potential mechanisms of action involved.Methods: An umbrella review of the evidence across systematic reviews and narrative reviews of endogenous andexogenous (supplementation) MLT was undertaken. The Oxman checklist for assessing the methodological qualityof the included systematic reviews was utilised. The following databases were searched: MEDLINE, EMBASE, Web ofScience, CENTRAL, PsycINFO and CINAHL. In addition, reference lists were screened. We included reviews of theeffects of MLT on any type of health-related outcome measure.Results: Altogether, 195 reviews met the inclusion criteria. Most were of low methodological quality (mean -4.5,standard deviation 6.7). Of those, 164 did not pool the data and were synthesised narratively (qualitatively) whereasthe remaining 31 used meta-analytic techniques and were synthesised quantitatively. Seven meta-analyses weresignificant with P values less than 0.001 under the random-effects model. These pertained to sleep latency,pre-operative anxiety, prevention of agitation and risk of breast cancer.Conclusions: There is an abundance of reviews evaluating the effects of exogenous and endogenous MLT onhealth. In general, MLT has been shown to be associated with a wide variety of health outcomes in clinically andmethodologically heterogeneous populations. Many reviews stressed the need for more high-quality randomisedclinical trials to reduce the existing uncertainties.

Journal article

Chang K, Lee JT, Vamos E, Palladino R, Soljak M, Majeed A, Millett Cet al., 2017, Socio-demographic inequalities in the effectiveness of England's NHS Health Check, 10th European Public Health Conference Sustaining resilient and healthy communities, Publisher: Oxford University Press (OUP), ISSN: 1101-1262

Conference paper

Visvalingam N, Nang E, Divakar U, Nazeha N, Sng M, Jarbrink K, Dunleavy G, Soljak M, Kwok K, Soh C, Christopoulos G, Car Jet al., 2017, ASSOCIATION BETWEEN SELF-REPORTED WORKPLACE LIGHTING QUALITY AND SLEEP QUALITY IN A MULTI-ETHNIC POPULATION IN ASIA, 29th Annual Scientific Meeting (ASM) of Australasian-Sleep-Association and Australasian-Sleep-Technologists-Association, Publisher: WILEY, Pages: 51-52, ISSN: 0962-1105

Conference paper

Fullman N, Barber RM, Abajobir AA, Abate KH, Abbafati C, Abbas KM, Abd-Allah F, Abdulkader RS, Abdulle AM, Abera SF, Aboyans V, Abu-Raddad LJ, Abu-Rmeileh NME, Adedeji IA, Adetokunboh O, Afshin A, Agrawal A, Agrawal S, Ahmad Kiadaliri A, Ahmadieh H, Ahmed MB, Aichour MTE, Aichour AN, Aichour I, Aiyar S, Akinyemi RO, Akseer N, Al-Aly Z, Alam K, Alam N, Alasfoor D, Alene KA, Alizadeh-Navaei R, Alkerwi A, Alla F, Allebeck P, Allen C, Al-Raddadi R, Alsharif U, Altirkawi KA, Alvis-Guzman N, Amare AT, Amini E, Ammar W, Ansari H, Antonio CAT, Anwari P, Arora M, Artaman A, Aryal KK, Asayesh H, Asgedom SW, Assadi R, Atey TM, Atre SR, Avila-Burgos L, Avokpaho EFGA, Awasthi A, Azzopardi P, Bacha U, Badawi A, Balakrishnan K, Bannick MS, Barac A, Barker-Collo SL, Bärnighausen T, Barrero LH, Basu S, Battle KE, Baune BT, Beardsley J, Bedi N, Beghi E, Béjot Y, Bell ML, Bennett DA, Bennett JR, Bensenor IM, Berhane A, Berhe DF, Bernabé E, Betsu BD, Beuran M, Beyene AS, Bhala N, Bhansali A, Bhatt S, Bhutta ZA, Bicer BK, Bidgoli HH, Bikbov B, Bilal AI, Birungi C, Biryukov S, Bizuayehu HM, Blosser CD, Boneya DJ, Bose D, Bou-Orm IR, Brauer Met al., 2017, Erratum:Measuring progress and projecting attainment on the basis of past trends of the health-related Sustainable Development Goals in 188 countries: an analysis from the Global Burden of Disease Study 2016 (The Lancet (2017) 390(10100) (1423–1459) (S014067361732336X)(10.1016/S0140-6736(17)32336-X)), The Lancet, Vol: 390, Pages: e23-e23, ISSN: 0140-6736

GBD 2016 SDG Collaborators. Measuring progress and projecting attainment on the basis of past trends of the health-related Sustainable Development Goals in 188 countries: an analysis from the Global Burden of Disease Study 2016. Lancet 2017; 390: 1423–59—In figure 8B of this Article (published Online First on Sept 12, 2017), the number of indicator targets has been changed from 1 to 9 for Turkmenistan, from 0 to 1 for Afghanistan, and from 1 to 2 for Yemen. Ettore Beghi, Neeraj Bhala, Hélène Carabin, Raimundas Lunevicius, Donald H Silberberg, and Caitlyn Steiner have been added to the list of GBD 2016 SDG Collaborators. Their affiliations, along with the affiliation of Soumya Swaminathan, have been added to the Affiliations section. These corrections have been made to the online version as of Sept 18, 2017, and the printed Article is correct.

Journal article

Hay SI, Abajobir AA, Abate KH, Abbafati C, Abbas KM, Abd-Allah F, Abdulle AM, Abebo TA, Abera SF, Aboyans V, Abu-Raddad LJ, Ackerman IN, Adedeji IA, Adetokunboh O, Afshin A, Aggarwal R, Agrawal S, Agrawal A, Kiadaliri AA, Ahmed MB, Aichour AN, Aichour I, Aichour MTE, Aiyar S, Akinyemiju TF, Akseer N, Al Lami FH, Alahdab F, Al-Aly Z, Alam K, Alam N, Alam T, Alasfoor D, Alene KA, Ali R, Alizadeh-Navaei R, Alkaabi JM, Alkerwi A, Alla F, Allebeck P, Allen C, Al-Maskari F, AlMazroa MA, Al-Raddadi R, Alsharif U, Alsowaidi S, Althouse BM, Altirkawi KA, Alvis-Guzman N, Amare AT, Amini E, Ammar W, Ampem YA, Ansha MG, Antonio CAT, Anwari P, Arnlov J, Arora M, Al A, Aryal KK, Asgedom SW, Atey TM, Atnafu NT, Avila-Burgos L, Avokpaho EFGA, Awasthi A, Awasthi S, Quintanilla BPA, Azarpazhooh MR, Azzopardi P, Babalola TK, Bacha U, Badawi A, Balakrishnan K, Bannick MS, Barac A, Barker-Collo SL, Barnighausen T, Barquera S, Barrero LH, Basu S, Battista R, Battle KE, Baune BT, Bazargan-Hejazi S, Beardsley J, Bedi N, Bejot Y, Bekele BB, Bell ML, Bennett DA, Bennett JR, Bensenor IM, Benson J, Berhane A, Berhe DF, Bernabe E, Betsu BD, Beuran M, Beyene AS, Bhansali A, Bhatt S, Bhutta ZA, Biadgilign S, Bienhoff K, Bikbov B, Birungi C, Biryukov S, Bisanzio D, Bizuayehu HM, Blyth FM, Boneya DJ, Bose D, Bou-Orm IR, Bourne RRA, Brainin M, Brayne CEG, Brazinova A, Breitborde NJK, Briant PS, Britton G, Brugha TS, Buchbinder R, Bulto LNB, Bumgarner B, Butt ZA, Cahuana-Hurtado L, Cameron E, Ricardo Campos-Nonato I, Carabin H, Cardenas R, Carpenter DO, Carrero JJ, Carter A, Carvalho F, Casey D, Castaneda-Orjuela CA, Rivas JC, Castle CD, Catala-Lopez F, Chang J-C, Charlson FJ, Chaturvedi P, Chen H, Chibalabala M, Chibueze CE, Chisumpa VH, Chitheer AA, Chowdhury R, Christopher DJ, Ciobanu LG, Cirillo M, Colombara D, Cooper LT, Cooper C, Cortesi PA, Cortinovis M, Criqui MH, Cromwell EA, Cross M, Crump JA, Dadi AF, Dalal K, Damasceno A, Dandona L, Dandona R, das Neves J, Davitoiu DV, Davletov K, de Couret al., 2017, Global, regional, and national disability-adjusted life-years (DALYs) for 333 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016, Lancet, Vol: 390, Pages: 1260-1344, ISSN: 0140-6736

BackgroundMeasurement of changes in health across locations is useful to compare and contrast changing epidemiological patterns against health system performance and identify specific needs for resource allocation in research, policy development, and programme decision making. Using the Global Burden of Diseases, Injuries, and Risk Factors Study 2016, we drew from two widely used summary measures to monitor such changes in population health: disability-adjusted life-years (DALYs) and healthy life expectancy (HALE). We used these measures to track trends and benchmark progress compared with expected trends on the basis of the Socio-demographic Index (SDI).MethodsWe used results from the Global Burden of Diseases, Injuries, and Risk Factors Study 2016 for all-cause mortality, cause-specific mortality, and non-fatal disease burden to derive HALE and DALYs by sex for 195 countries and territories from 1990 to 2016. We calculated DALYs by summing years of life lost and years of life lived with disability for each location, age group, sex, and year. We estimated HALE using age-specific death rates and years of life lived with disability per capita. We explored how DALYs and HALE differed from expected trends when compared with the SDI: the geometric mean of income per person, educational attainment in the population older than age 15 years, and total fertility rate.FindingsThe highest globally observed HALE at birth for both women and men was in Singapore, at 75·2 years (95% uncertainty interval 71·9–78·6) for females and 72·0 years (68·8–75·1) for males. The lowest for females was in the Central African Republic (45·6 years [42·0–49·5]) and for males was in Lesotho (41·5 years [39·0–44·0]). From 1990 to 2016, global HALE increased by an average of 6·24 years (5·97–6·48) for both sexes combined. Global HALE increased by 6·04 years (

Journal article

Gakidou E, Afshin A, Abajobir AA, Abate KH, Abbafati C, Abbas KM, Abd-Allah F, Abdulle AM, Abera SF, Aboyans V, Abu-Raddad LJ, Abu-Rmeileh NME, Abyu GY, Adedeji IA, Adetokunboh O, Afarideh M, Agrawal A, Agrawal S, Kiadaliri AA, Ahmadieh H, Ahmed MB, Aichour AN, Aichour I, Aichour MTE, Akinyemi RO, Akseer N, Alahdab F, Al-Aly Z, Alam K, Alam N, Alam T, Alasfoor D, Alene KA, Ali K, Alizadeh-Navaei R, Alkerwi A, Alla F, Allebeck P, Al-Raddadi R, Alsharif U, Altirkawi KA, Alvis-Guzman N, Amare AT, Amini E, Ammar W, Amoako YA, Ansari H, Anto JM, Antonio CAT, Anwari P, Arian N, Arnlov J, Artaman A, Aryal KK, Asayesh H, Asgedom SW, Atey TM, Avila-Burgos L, Avokpaho EFGA, Awasthi A, Azzopardi P, Bacha U, Badawi A, Balakrishnan K, Ballew SH, Barac A, Barber RM, Barker-Collo SL, Barnighausen T, Barquera S, Barregard L, Barrero LH, Batis C, Battle KE, Baune BT, Beardsley J, Bedi N, Beghi E, Bell ML, Bennett DA, Bennett JR, Bensenor IM, Berhane A, Berhe DF, Bernabe E, Betsu BD, Beuran M, Beyene AS, Bhansali A, Bhutta ZA, Bikbov B, Birungi C, Biryukov S, Blosser CD, Boneya DJ, Bou-Orm IR, Brauer M, Breitborde NJK, Brenner H, Brugha TS, Bulto LNB, Baumgarner BR, Butt ZA, Cahuana-Hurtado L, Cardenas R, Carrero JJ, Castaneda-Orjuela CA, Catala-Lopez F, Cercy K, Chang H-Y, Charlson FJ, Chimed-Ochir O, Chisumpa VH, Chitheer AA, Christensen H, Christopher DJ, Cirillo M, Cohen AJ, Comfort H, Cooper C, Coresh J, Cornaby L, Cortesi PA, Criqui MH, Crump JA, Dandona L, Dandona R, das Neves J, Davey G, Davitoiu DV, Davletov K, de Courten B, Degenhardt L, Deiparine S, Dellavalle RP, Deribe K, Deshpande A, Dharmaratne SD, Ding EL, Djalalinia S, Huyen PD, Dokova K, Doku DT, Dorsey ER, Driscoll TR, Dubey M, Duncan BB, Duncan S, Ebert N, Ebrahimi H, El-Khatib ZZ, Enayati A, Endries AY, Ermakov SP, Erskine HE, Eshrati B, Eskandarieh S, Esteghamati A, Estep K, Faraon EJA, E Sa Farinha CS, Faro A, Farzadfar F, Fay K, Feigin VL, Fereshtehnejad S-M, Fernandes JC, Ferrari AJ, Feyissa TR, Filip I, Fiscet al., 2017, Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016, Lancet, Vol: 390, Pages: 1345-1422, ISSN: 0140-6736

BackgroundThe Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of risk factor exposure and attributable burden of disease. By providing estimates over a long time series, this study can monitor risk exposure trends critical to health surveillance and inform policy debates on the importance of addressing risks in context.MethodsWe used the comparative risk assessment framework developed for previous iterations of GBD to estimate levels and trends in exposure, attributable deaths, and attributable disability-adjusted life-years (DALYs), by age group, sex, year, and location for 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks from 1990 to 2016. This study included 481 risk-outcome pairs that met the GBD study criteria for convincing or probable evidence of causation. We extracted relative risk (RR) and exposure estimates from 22 717 randomised controlled trials, cohorts, pooled cohorts, household surveys, census data, satellite data, and other sources, according to the GBD 2016 source counting methods. Using the counterfactual scenario of theoretical minimum risk exposure level (TMREL), we estimated the portion of deaths and DALYs that could be attributed to a given risk. Finally, we explored four drivers of trends in attributable burden: population growth, population ageing, trends in risk exposure, and all other factors combined.FindingsSince 1990, exposure increased significantly for 30 risks, did not change significantly for four risks, and decreased significantly for 31 risks. Among risks that are leading causes of burden of disease, child growth failure and household air pollution showed the most significant declines, while metabolic risks, such as body-mass index and high fasting plasma glucose, showed significant increases. In 2016, at Level 3 of the hierarchy, the three leading risk factors in terms of attributable DALYs at the global level for men were smok

Journal article

Fullman N, Barbar RM, Abajobir AA, et al, Rawaf S, Murray CJ, GBD 2016 SDG Collaboratorset al., 2017, Measuring progress and projecting attainment on the basis of past trends of the health-related Sustainable Development Goals in 188 countries: an analysis from the Global Burden of Disease Study 2016, The Lancet, Vol: 390, Pages: 1423-1459, ISSN: 0140-6736

BackgroundThe UN's Sustainable Development Goals (SDGs) are grounded in the global ambition of “leaving no one behind”. Understanding today's gains and gaps for the health-related SDGs is essential for decision makers as they aim to improve the health of populations. As part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016), we measured 37 of the 50 health-related SDG indicators over the period 1990–2016 for 188 countries, and then on the basis of these past trends, we projected indicators to 2030.MethodsWe used standardised GBD 2016 methods to measure 37 health-related indicators from 1990 to 2016, an increase of four indicators since GBD 2015. We substantially revised the universal health coverage (UHC) measure, which focuses on coverage of essential health services, to also represent personal health-care access and quality for several non-communicable diseases. We transformed each indicator on a scale of 0–100, with 0 as the 2·5th percentile estimated between 1990 and 2030, and 100 as the 97·5th percentile during that time. An index representing all 37 health-related SDG indicators was constructed by taking the geometric mean of scaled indicators by target. On the basis of past trends, we produced projections of indicator values, using a weighted average of the indicator and country-specific annualised rates of change from 1990 to 2016 with weights for each annual rate of change based on out-of-sample validity. 24 of the currently measured health-related SDG indicators have defined SDG targets, against which we assessed attainment.FindingsGlobally, the median health-related SDG index was 56·7 (IQR 31·9–66·8) in 2016 and country-level performance markedly varied, with Singapore (86·8, 95% uncertainty interval 84·6–88·9), Iceland (86·0, 84·1–87·6), and Sweden (85·6, 81·8–87·8) having the h

Journal article

Chang K, Vamos E, Lee J, Palladino R, Millett C, Majeed Aet al., 2017, Socio-demographic inequalities in cardiovascular risk management and early detection of vascular conditions by the nhs health check: a difference-in-differences matching analysis, Publisher: BMJ Publishing Group, Pages: A3-A3, ISSN: 0143-005X

Conference paper

Woringer M, Jones Nielsen J, Zibarras L, Evason J, Kassianos AP, Harris M, Majeed A, Soljak Met al., 2017, Development of a questionnaire to evaluate patients’ awareness of cardiovascular disease risk in England’s National Health Service Health Check preventive cardiovascular programme, BMJ Open, Vol: 7, ISSN: 2044-6055

BackgroundThe National Health Service (NHS) Health Check is a CVD risk assessment and management programme in England aiming to increase CVD risk awareness among people at increased risk of CVD. There is no tool to assess the effectiveness of the programme in communicating CVD risk to patients. AimsThe aim of this paper was to develop a questionnaire examining patients’ CVD risk awareness for use in health service research evaluations of the NHS Health Check programme. MethodsWe developed an 85 item questionnaire to determine patients’ views of their risk of CVD. The questionnaire was based on a review of the relevant literature. After review by an expert panel and focus group discussion, 22 items were dropped and 2 new items were added. The resulting 65 item questionnaire with satisfactory content validity (content validity indices >=0.80) and face validity was tested on 110 NHS Health Check attendees in primary care in a cross sectional study between May 21 and July 28, 2014. ResultsFollowing analyses of data, we reduced the questionnaire from 65 to 26 items. The 26 item questionnaire constitutes 4 scales: Knowledge of CVD Risk and Prevention, Perceived Risk of Heart Attack/Stroke, Perceived Benefits and Intention to Change Behaviour and Healthy Eating Intentions. Perceived Risk (Cronbach’s α = 0.85) and Perceived Benefits and Intention to Change Behaviour (Cronbach’s α = 0.82) have satisfactory reliability (Cronbach’s α >=0.70). Healthy Eating Intentions (Cronbach’s α = 0.56) is below minimum threshold for reliability but acceptable for a three item scale. ConclusionsThe resulting questionnaire, with satisfactory reliability and validity, may be used in assessing patients’ awareness of CVD risk among NHS Health Check attendees.

Journal article

El-Osta A, Woringer M, Pizzo E, Verhoef T, Dickie C, Ni Z, Huddy J, Soljak M, Hanna G, Majeed Aet al., 2017, Does use of point of care testing improve cost effectiveness of the NHS Health Checks programme in the primary care setting? A cost minimisation analysis, BMJ Open, Vol: 7, ISSN: 2044-6055

Objective: To determine if use of Point of Care Testing (POCT) is less costly than laboratory testing to the NHS in delivering the NHS Heath Check (NHSHC) programme in the primary care setting Design: Observational study and theoretical mathematical model with micro-costing approachSetting: We collected data on NHSHC delivered at 9 general practices (7 using POCT; 2 not using POCT). Participants: We recruited 9 general practices offering NHSHC, and a Pathology Services Laboratory in the same area. Methods: We conducted mathematical modelling with permutations in the following fields: provider type (HCA or nurse), type of test performed (total cholesterol with either lab fasting glucose or HbA1c), consumables costs and variable uptake rates including rate of non-response to invite letter and rate of missed (DNA) appointments. We calculated Total Expected Cost (TEC) per 100 invites, number of NHSHC conducted per 100 invites and costs for completed NHSHC for laboratory and POCT-based pathways. A univariate and probabilistic sensitivity analysis was conducted to account for uncertainty in the input parameters. Main outcome measures: We collected data on cost, volume and type of pathology services performed at seven general practices using POCT and a Pathology Services Laboratory. We collected data on response to the NHSHC invitation letter and DNA rates from two general practices. Results: TEC of using POCT to deliver a routine NHSHC is lower than the laboratory-led pathway with savings of £29 per 100 invited patients up the point of CVD risk-score presentation. Use of POCT can deliver NHSHC in one sitting, whereas the laboratory pathway offers patients several opportunities to DNA appointment. Conclusions: TEC of using POCT to deliver an NHSHC in the primary care setting is lower than the laboratory-led pat

Journal article

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