Marius B. Bjertness
University of Oslo
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Featured researches published by Marius B. Bjertness.
eLife | 2016
James Bentham; M Di Cesare; Gretchen A Stevens; Bin Zhou; Honor Bixby; Melanie J. Cowan; Lea Fortunato; James Bennett; Goodarz Danaei; Kaveh Hajifathalian; Yuan Lu; Leanne Riley; Avula Laxmaiah; Vasilis Kontis; Christopher J. Paciorek; Majid Ezzati; Ziad Abdeen; Zargar Abdul Hamid; Niveen M E Abu-Rmeileh; Benjamin Acosta-Cazares; Robert Adams; Wichai Aekplakorn; Carlos A. Aguilar-Salinas; Charles Agyemang; Alireza Ahmadvand; Wolfgang Ahrens; H M Al-Hazzaa; Amani Al-Othman; Rajaa Al Raddadi; Mohamed M. Ali
Being taller is associated with enhanced longevity, and higher education and earnings. We reanalysed 1472 population-based studies, with measurement of height on more than 18.6 million participants to estimate mean height for people born between 1896 and 1996 in 200 countries. The largest gain in adult height over the past century has occurred in South Korean women and Iranian men, who became 20.2 cm (95% credible interval 17.5–22.7) and 16.5 cm (13.3–19.7) taller, respectively. In contrast, there was little change in adult height in some sub-Saharan African countries and in South Asia over the century of analysis. The tallest people over these 100 years are men born in the Netherlands in the last quarter of 20th century, whose average heights surpassed 182.5 cm, and the shortest were women born in Guatemala in 1896 (140.3 cm; 135.8–144.8). The height differential between the tallest and shortest populations was 19-20 cm a century ago, and has remained the same for women and increased for men a century later despite substantial changes in the ranking of countries. DOI: http://dx.doi.org/10.7554/eLife.13410.001
The Lancet | 2016
Ian Anderson; Bridget Robson; Michele Connolly; Fadwa Al-Yaman; Espen Bjertness; Alexandra King; Michael Tynan; Richard Madden; Abhay T Bang; Carlos E. A. Coimbra Jr.; Maria Amalia Pesantes; Hugo Amigo; Sergei Andronov; Blas Armien; Daniel Ayala Obando; Per Axelsson; Zaid Bhatti; Zulfiqar A. Bhutta; Peter Bjerregaard; Marius B. Bjertness; Roberto Briceño-León; Ann Ragnhild Broderstad; Patricia Bustos; Virasakdi Chongsuvivatwong; Jiayou Chu; Deji; Jitendra Gouda; Rachakulla Harikumar; Thein Thein Htay; Aung Soe Htet
BACKGROUND International studies of the health of Indigenous and tribal peoples provide important public health insights. Reliable data are required for the development of policy and health services. Previous studies document poorer outcomes for Indigenous peoples compared with benchmark populations, but have been restricted in their coverage of countries or the range of health indicators. Our objective is to describe the health and social status of Indigenous and tribal peoples relative to benchmark populations from a sample of countries. METHODS Collaborators with expertise in Indigenous health data systems were identified for each country. Data were obtained for population, life expectancy at birth, infant mortality, low and high birthweight, maternal mortality, nutritional status, educational attainment, and economic status. Data sources consisted of governmental data, data from non-governmental organisations such as UNICEF, and other research. Absolute and relative differences were calculated. FINDINGS Our data (23 countries, 28 populations) provide evidence of poorer health and social outcomes for Indigenous peoples than for non-Indigenous populations. However, this is not uniformly the case, and the size of the rate difference varies. We document poorer outcomes for Indigenous populations for: life expectancy at birth for 16 of 18 populations with a difference greater than 1 year in 15 populations; infant mortality rate for 18 of 19 populations with a rate difference greater than one per 1000 livebirths in 16 populations; maternal mortality in ten populations; low birthweight with the rate difference greater than 2% in three populations; high birthweight with the rate difference greater than 2% in one population; child malnutrition for ten of 16 populations with a difference greater than 10% in five populations; child obesity for eight of 12 populations with a difference greater than 5% in four populations; adult obesity for seven of 13 populations with a difference greater than 10% in four populations; educational attainment for 26 of 27 populations with a difference greater than 1% in 24 populations; and economic status for 15 of 18 populations with a difference greater than 1% in 14 populations. INTERPRETATION We systematically collated data across a broader sample of countries and indicators than done in previous studies. Taking into account the UN Sustainable Development Goals, we recommend that national governments develop targeted policy responses to Indigenous health, improving access to health services, and Indigenous data within national surveillance systems. FUNDING The Lowitja Institute.
BMJ Open | 2017
Aung Soe Htet; Marte Karoline Råberg Kjøllesdal; Wai Phyo Aung; Aye Nyein Moe Myint; Win Thuzar Aye; Myint Myint Wai; Than Than Nu; Ei Mon Hla; Pyone Pyone Soe; Nan Wut Yi Tun; Naw Angela; Mya Mya Khaing; Aung Kyaw Htoo; Soe Tun; Pai Thitsar; Theeoo Lwin; San San Wai; Thi Thi Aung; Khin Aye Thant; Wai Wai Aung Po; Seng Taung Gauzam; Tun Tun Naing; Thet Min Tun; Khin San Myint; Kyi Kyi Oo; Nang Kee Myu Mang; Soe Moe Naing; Ko Ko Zaw; Marius B. Bjertness; Lhamo Y. Sherpa
Objective The first is to estimate the prevalence of dyslipidaemia (hypercholesterolaemia, hypertriglyceridaemia, high low-density lipoprotein (LDL) level and low high-density lipoprotein (HDL) level), as well as the mean levels of total cholesterol, triglyceride, LDL and HDL, in the urban and rural Yangon Region, Myanmar. The second is to investigate the association between urban-rural location and total cholesterol. Design Two cross-sectional studies using the WHO STEPS methodology. Setting Both the urban and rural areas of the Yangon Region, Myanmar. Participants A total of 1370 men and women aged 25–74 years participated based on a multistage cluster sampling. Physically and mentally ill people, monks, nuns, soldiers and institutionalised people were excluded. Results Compared with rural counterparts, urban dwellers had a significantly higher age-standardised prevalence of hypercholesterolaemia (50.7% vs 41.6%; p=0.042) and a low HDL level (60.6% vs 44.4%; p=0.001). No urban-rural differences were found in the prevalence of hypertriglyceridaemia and high LDL. Men had a higher age-standardised prevalence of hypertriglyceridaemia than women (25.1% vs 14.8%; p<0.001), while the opposite pattern was found in the prevalence of a high LDL (11.3% vs 16.3%; p=0.018) and low HDL level (35.3% vs 70.1%; p<0.001). Compared with rural inhabitants, urban dwellers had higher age-standardised mean levels of total cholesterol (5.31 mmol/L, SE: 0.044 vs 5.05 mmol/L, 0.068; p=0.009), triglyceride (1.65 mmol/L, 0.049 vs 1.38 mmol/L, 0.078; p=0.017), LDL (3.44 mmol/L, 0.019 vs 3.16 mmol/L, 0.058; p=0.001) and lower age-standardised mean levels of HDL (1.11 mmol/L, 0.010 vs 1.25 mmol/L, 0.012; p<0.001). In linear regression, the total cholesterol was significantly associated with an urban location among men, but not among women. Conclusion The mean level of total cholesterol and the prevalence of hypercholesterolaemia were alarmingly high in men and women in both the urban and rural areas of Yangon Region, Myanmar. Preventive measures to reduce cholesterol levels in the population are therefore needed.
BMC Public Health | 2016
Marius B. Bjertness; Aung Soe Htet; Haakon E. Meyer; Maung Maung Than Htike; Ko Ko Zaw; Win Myint Oo; Tint Swe Latt; Lhamo Y. Sherpa; Espen Bjertness
BMC Public Health | 2016
Aung Soe Htet; Marius B. Bjertness; Lhamo Y. Sherpa; Marte Karoline Råberg Kjøllesdal; Win Myint Oo; Haakon E. Meyer; Hein Stigum; Espen Bjertness
BMC Public Health | 2017
Aung Soe Htet; Marius B. Bjertness; Win Myint Oo; Marte Karoline Råberg Kjøllesdal; Lhamo Y. Sherpa; Ko Ko Zaw; Ko Ko; Hein Stigum; Haakon E. Meyer; Espen Bjertness