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Results (26 - 50) of 275 Page(s): Previous  1 2 3 4 5 6 7 8 9 10 Next
Fertility is a key predictor of the double burden of malnutrition among women of child-bearing age in sub-Saharan Africa
Author(s): Jason Mulimba Were, Saverio Stranges, and Irena F. Creed
Journal: Journal of Global Health (OCT 2020)
Topic(s): Anthropometry/Biomarkers , Fertility and Fertility Preferences , Nutrition
Country(s): Multiple African Countries
Web: http://www.jogh.org/documents/issue202002/jogh-10-020423.htm
Deciphering disparities in childhood stunting in an underdeveloped state of India: an investigation applying the unconditional quantile regression method
Author(s): Saswata Ghosh, Santosh Kumar Sharma, and Debarshi Bhattacharya
Journal: BMC Public Health (OCT 2020) , DOI: https://doi.org/10.1186/s12889-020-09559-8
Topic(s): Anthropometry/Biomarkers , Child Health and Development , Nutrition
Country(s): India
Web: https://bmcpublichealth.biomedcentral.com/articles/10.1186/s
Factors affecting nutritional status of Anganwadi children: A cross-sectional study
Author(s): Ira Jain, Simmi Oberoi, Ankur Jain, Rajinder S. Balgir, Manhardeep K. Sandhu, and Yogita Lugani
Journal: Journal of Family Medicine & Primary Care (SEP 2020) , DOI: 10.4103/jfmpc.jfmpc_410_20
Topic(s): Anthropometry/Biomarkers , Child Health and Development , Nutrition
Country(s): India
Web: https://pubmed.ncbi.nlm.nih.gov/33209771/
Determinants of suboptimal breastfeeding in Haryana - An analysis of national family health survey-4 data
Author(s): Jyoti Sharma, Shivam Pandey, and Preeti Negandhi
Journal: Indian Journal of Public Health (SEP 2020) , Volume 64, Issue number 3; DOI: 10.4103/ijph.IJPH_406_19
Topic(s): Anthropometry/Biomarkers , Maternal Health , Nutrition , Wealth/Socioeconomics
Country(s): India
Web: https://www.ijph.in/article.asp?issn=0019-557X;year=2020;vol
Anthropometric data quality assessment in multisurvey studies of child growth
Author(s): Nandita Perumal, Sorrel Namaste, Huma Qamar, Ashley Aimone, Diego G. Bassani, and Daniel E. Roth
Journal: American Journal of Clinical Nutrition (SEP 2020) , 112(Suppl 2):806S-815S; DOI: 10.1093/ajcn/nqaa162
Topic(s): Anthropometry/Biomarkers , Child Health and Development , Nutrition , Survey Methodology, Data Quality, Analysis
Country(s): Multiple Regions
Web: https://pubmed.ncbi.nlm.nih.gov/32672330/
Inequalities and risk factors analysis in prevalence and management of hypertension in India and Nepal: a national and subnational study
Author(s): Santosh Kumar Rauniyar, Mizanur Rahman, Shafiur Rahman, Sarah Krull Abe, Shuhei Nomura, and Kenji Shibuya
Journal: BMC Public Health (SEP 2020) , 20(Article number: 1341); DOI: 10.1186/s12889-020-09450-6
Topic(s): Adult Health Issues , Anthropometry/Biomarkers , Non-communicable diseases , Nutrition , Wealth/Socioeconomics
Country(s): Multiple Asian Countries, India, Nepal
Web: https://bmcpublichealth.biomedcentral.com/articles/10.1186/s
Tracking Progress in Anthropometric Failure among Children in India: A Geospatial Analysis
Author(s): Singh S. K., Purnima Menon, and Aditi Chaudary
Journal: Epidemiology: Open Access (SEP 2020) , Vol 10(4)
Topic(s): Anthropometry/Biomarkers , Child Health and Development , Fertility and Fertility Preferences , Geographic Information , Maternal Health , Nutrition
Country(s): India
Web: https://www.omicsonline.org/open-access/tracking-progress-in
Net benefit and cost-effectiveness of universal iron-containing multiple micronutrient powders for young children in 78 countries: a microsimulation study
Author(s): Sant-Rayn Pasricha, Adrian Gheorghe, Fayrouz Sakr-Ashour, Amrita Arcot, Lynnette Neufeld, Laura E Murray-Kolb, Parminder S Suchdev, and Michael Bode
Journal: Lancet Global Health (AUG 2020) , 8(8): e1071-e1080; DOI: 10.1016/S2214-109X(20)30240-0
Topic(s): Anthropometry/Biomarkers , Child Health and Development , Nutrition
Country(s): Multiple Regions
Web: https://www.thelancet.com/action/showPdf?pii=S2214-109X%2820
Linkages between occupation and elevated blood pressure among men in India: a cross-sectional study
Author(s): Chander Shekhar, and Apurba Shil
Journal: International Journal of Public Health (JUL 2020) , Published online; DOI: 10.1007/s00038-020-01411-5
Topic(s): Adult Health Issues , Anthropometry/Biomarkers , Gender , Nutrition
Country(s): India
Web: https://link.springer.com/epdf/10.1007/s00038-020-01411-5?sh
Prevalence and associated factors of undiagnosed hypertension among women aged 15–49 years in India: an analysis of National Family Health Survey-4 data
Author(s): Debjyoti Talukdar, Mallika Tripathi, Vrijesh Tripathi, and Surujpal Teelucksingh
Journal: Journal of Human Hypertension (JUL 2020) , Published online; DOI: 10.1038/s41371-020-0384-7
Topic(s): Adult Health Issues , Anthropometry/Biomarkers , Maternal Health , Non-communicable diseases , Nutrition
Country(s): India
How Effective Is Iron Supplementation during Pregnancy and Childhood in Reducing Anemia among 6–59 Months Old Children in India?
Author(s): Monica Steffi Thomas, Anahit Demirchyan, and Vahe Khachadourian
Journal: Frontiers in Public Health (JUL 2020) , 8; DOI: 10.3389/fpubh.2020.00234
Topic(s): Anemia , Anthropometry/Biomarkers , Child Health and Development , Malaria , Maternal Health , Nutrition
Country(s): India
Web: https://www.frontiersin.org/articles/10.3389/fpubh.2020.0023
Prevalence of Diabetes Mellitus and Its Associated Factors in Bangladesh: Application of Two-level Logistic Regression Model
Author(s): Ashis Talukder and Zobayer Hossain, MD
Journal: Scientific Reports (JUN 2020) , Volume 10, Article number: 10237; DOI: https://doi.org/10.1038/s41598-020-66084-9
Topic(s): Adult Health Issues , Anthropometry/Biomarkers , Non-communicable diseases , Nutrition , Survey Methodology, Data Quality, Analysis , Wealth/Socioeconomics
Country(s): Bangladesh
Web: https://www.nature.com/articles/s41598-020-66084-9
Short-term trends in the prevalence, awareness, treatment, and control of arterial hypertension in Peru
Author(s): David Villarreal-Zegarra, Rodrigo M Carrillo-Larco, and Antonio Bernabe-Ortiz
Journal: Journal of Human Hypertension (JUN 2020) , Published online; DOI: 10.1038/s41371-020-0361-1
Topic(s): Adult Health Issues , Anthropometry/Biomarkers , Non-communicable diseases , Nutrition
Country(s): Peru
Web: https://www.nature.com/articles/s41371-020-0361-1
Association between Maternal Depressive Symptoms with Overweight/Obesity among Children Aged 0–5 Years According to the 2016 Demographic and Family Health Survey
Author(s): Nataly Echevarria-Castro, Andrea Matayoshi-Perez, and German F. Alvarado
Journal: Childhood Obesity (JUN 2020) , DOI: https://doi.org/10.1089/chi.2019.0201
Topic(s): Anthropometry/Biomarkers , Child Health and Development , Maternal Health , Nutrition
Country(s): Multiple Regions
Web: https://www.liebertpub.com/doi/10.1089/chi.2019.0201
The Diabetes Paradox in India: Case of Kerala and Bihar
Author(s): Rajeshwari A. Biradar, Dharmendra P. Singh, and Shiva S. Halli
Journal: Demography India (JUN 2020) , 49(1): 78-90
Topic(s): Adult Health Issues , Anthropometry/Biomarkers , Non-communicable diseases , Nutrition
Country(s): India
Web: http://demographyindia.in/article_document/115/247727-59-Raj
Geographic Variation and Associated Covariates of Diabetes Prevalence in India
Author(s): Andrés M Hernandez, Peng Jia, Hae-Young Kim, and Diego F Cuadros
Journal: JAMA Network Open (MAY 2020) , 3(5): e203865; DOI: 10.1001/jamanetworkopen.2020.3865
Topic(s): Adult Health Issues , Anthropometry/Biomarkers , Geographic Information , Non-communicable diseases , Nutrition
Country(s): India
Web: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7195623/
Automated detection and classification of diabetes disease based on Bangladesh demographic and health survey data, 2011 using machine learning approach
Author(s): Merajul Islam, Jahanur Rahman, Dulal Chandra Roy, and Maniruzzaman
Journal: Diabetes & Metabolic Syndrome: Clinical Research & Reviews (MAY 2020) , 14(3): 217-219; DOI: 10.1016/j.dsx.2020.03.004
Topic(s): Adult Health Issues , Anthropometry/Biomarkers , Non-communicable diseases , Nutrition
Country(s): Bangladesh
Estimating lifetime malnourished period and its statistics based on the concept of Markov chain with reward
Author(s): Seyifunmi M Owoeye, Bamidele M Oseni, and Ezra Gayawan
Journal: Heliyon (MAY 2020) , 6(5): e04073; DOI: 10.1016/j.heliyon.2020.e04073
Topic(s): Anthropometry/Biomarkers , Maternal Health , Nutrition
Country(s): Nigeria
Web: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7262447/
Identifying spatial variation in the burden of diabetes among women across 640 districts in India: a cross-sectional study
Author(s): Shrikant Singh, Parul Puri, and S. V. Subramanian
Journal: Journal of Diabetes & Metabolic Disorders (MAY 2020) , 19, 523-533
Topic(s): Adult Health Issues , Anthropometry/Biomarkers , Geographic Information , Maternal Health , Non-communicable diseases , Nutrition
Country(s): India
Web: https://link.springer.com/article/10.1007/s40200-020-00545-w
Trends in the Prevalence and Associated Contributing Factors of Stunting in Children Under Five Years of Age. Secondary Data Analysis of 2005, 2010 and 2014-2015 Rwanda Demographic and Health Surveys
Author(s): Reverien Rutayisire, Clementine Kanazayire, Germaine Tuyisenge, and Cyprien Munyanshongore
Journal: Rwanda Journal of Medicine and Health Sciences (APR 2020) , Vol. 3 No. 1; DOI: 10.4314/rjmhs.v3i1.9
Topic(s): Anthropometry/Biomarkers , Child Health and Development , Education , Fertility and Fertility Preferences , Household and Respondent Characteristics , Nutrition , Wealth/Socioeconomics
Country(s): Rwanda
Web: https://www.ajol.info/index.php/rjmhs/article/view/194651
Access to antenatal blood pressure measurement in Malawi
Author(s): William Stones, and William Wayne Peno
Journal: Malawi Medical Journal (MAR 2020) , 30(3): 141-145; DOI: 10.4314/mmj.v30i3.2
Topic(s): Anthropometry/Biomarkers , Maternal Health , Nutrition
Country(s): Malawi
Web: https://strathprints.strath.ac.uk/71697/1/Stones_Peno_MMJ_20
Characteristics of undiagnosed diabetes in men and women under the age of 50 years in the Indian subcontinent: the National Family Health Survey (NFHS4)/Demographic Health Survey 2015–2016
Author(s): Claypool KT, Chung MK, Deonarine A, Gregg EW, and Patel CJ
Journal: BMJ Open Diabetes Research & Care (FEB 2020) , 8(1): e000965; DOI: 10.1136/bmjdrc-2019-000965
Topic(s): Adult Health Issues , Anthropometry/Biomarkers , Non-communicable diseases , Nutrition
Country(s): India
Web: https://www.researchgate.net/publication/339483995_Character
Association between the frequency of television watching and overweight and obesity among women of reproductive age in Nepal: Analysis of data from the Nepal Demographic and Health Survey 2016
Author(s): Rajat Das Gupta, Shams Shabab Haider, Mohammad Rashidul Hashan, Mehedi Hasan, Ipsita Sutradhar, Ibrahim Hossain Sajal, Hemraj Joshi, Mohammad Rifat Haider, and Malabika Sarker
Journal: PLOS ONE (FEB 2020) , 15(2): e0228862; DOI: 10.1371/journal.pone.0228862
Topic(s): Anthropometry/Biomarkers , Maternal Health , Nutrition
Country(s): Nepal
Web: https://journals.plos.org/plosone/article?id=10.1371/journal
Taller but thinner: trends in child anthropometry in Senegal, 1990–2015
Author(s): Michel Garenne
Journal: Public Health Nutrition (JAN 2020) , Published online; DOI: 10.1017/S1368980019003598
Topic(s): Anthropometry/Biomarkers , Child Health and Development , Nutrition
Country(s): Senegal
Interpretations and Implications of Increasing Obesity in India: Data on Women from National Health Surveys
Author(s): Sourindra Mohan Ghosh, and Imrana Qadeer
Journal: Economic and Political Weekly (JAN 2020) , 55(1)
Topic(s): Anthropometry/Biomarkers , Maternal Health , Nutrition
Country(s): India
Web: https://www.epw.in/journal/2020/1/special-articles/interpret
Results (26 - 50) of 275 Page(s): Previous  1 2 3 4 5 6 7 8 9 10 Next