[ad_1]
Zuccala, E. & Horton, R. Reframing the NCD agenda: a matter of justice and equity. Lancet 396, 939â940 (2020).
Google ScholarÂ
Yach, D., Hawkes, C., Gould, C. L. & Hofman, K. J. The global burden of chronic diseases: overcoming impediments to prevention and control. J. Am. Med. Assoc. 291, 2616â2622 (2004).
Google ScholarÂ
Banerjee, A. V. & Duflo, E. The economic lives of the poor. J. Econ. Perspect. 21, 141â168 (2007).
Google ScholarÂ
Subramanian, S. & Deaton, A. The demand for food and calories. J. Political Econ. 104, 133â162 (1996).
Google ScholarÂ
Akhter, U. A. et al. The Worldâs Most Deprived: Characteristics and Causes of Extreme Poverty and Hunger (International Food Policy Research Institute, 2007).
Hickel, J. The true extent of global poverty and hunger: questioning the good news narrative of the Millennium Development Goals. Third World Q. 37, 749â767 (2016).
Google ScholarÂ
Svedberg, P. Poverty and Undernutrition: Theory, Measurement and Policy (Oxford Univ. Press, 2000).
Wanyama, R. N. Food security and dietary patterns among the urban poor in Africa. PhD thesis, Georg-August-University Göttingen (2019); https://doi.org/10.53846/goediss-7447
Hassen, I. W., Dereje, M., Minten, B. & Hirvonen, K. Diet Transformation in Africa: The Case of Ethiopia (International Food Policy Research Institute, 2016).
Daily meat consumption per person (Our World in Data, accessed 14 July 2022); https://ourworldindata.org/grapher/daily-meat-consumption-per-person
Share of energy from cereals, roots and tubers vs. GDP per capita (Our World in Data, accessed 14 July 2022); https://ourworldindata.org/grapher/share-of-energy-from-cereals-roots-and-tubers-vs-gdp-per-capita
Gindling, T. H. & Newhouse, D. Self-employment in the developing world. World Dev. 56, 313â331 (2014).
Google ScholarÂ
Collins, D., Morduch, J., Rutherford, S. & Ruthven, O. Portfolios of the Poor: How the Worldâs Poor Live on $2 a Day (Princeton Univ. Press, 2009); https://doi.org/10.1515/9781400829965
Roth, G. A. et al. Global burden of cardiovascular diseases and risk factors, 1990â2019: update from the GBD 2019 study. J. Am. Coll. Cardiol. 76, 2982â3021 (2020).
Google ScholarÂ
Allen, L. et al. Socioeconomic status and non-communicable disease behavioural risk factors in low-income and lower-middle-income countries: a systematic review. Lancet Glob. Health 5, e277âe289 (2017).
Google ScholarÂ
Williams, J. et al. A systematic review of associations between non-communicable diseases and socioeconomic status within low- and lower-middle-income countries. J. Glob. Health 8, 020409 (2018).
Google ScholarÂ
Rosengren, A. et al. Socioeconomic status and risk of cardiovascular disease in 20 low-income, middle-income and high-income countries: the Prospective Urban Rural Epidemiologic (PURE) study. Lancet Glob. Health 7, e748âe760 (2019).
Google ScholarÂ
Gupta, R. et al. Socioeconomic factors and use of secondary preventive therapies for cardiovascular diseases in South Asia: the PURE study. Eur. J. Prev. Cardiol. 22, 1261â1271 (2015).
Google ScholarÂ
Steinert, J. I., Cluver, L. D., Melendez-Torres, G. J. & Vollmer, S. One size fits all? The validity of a composite poverty index across urban and rural households in South Africa. Soc. Indic. Res. 136, 51â72 (2018).
Google ScholarÂ
Poverty and Shared Prosperity 2018: Piecing Together the Poverty Puzzle (World Bank, 2018); http://elibrary.worldbank.org/doi/epdf/10.1596/978-1-4648-1330-6
Goyal, A. et al. Attained educational level and incident atherothrombotic events in low- and middle-income compared with high-income countries. Circulation 122, 1167â1175 (2010).
Google ScholarÂ
Yu, Z. Changes in cardiovascular risk factors in different socioeconomic groups: seven year trends in a Chinese urban population. J. Epidemiol. Community Health 54, 692â696 (2000).
Google ScholarÂ
Reddy, K. S. et al. Educational status and cardiovascular risk profile in Indians. Proc. Natl Acad. Sci. USA 104, 16263â16268 (2007).
Google ScholarÂ
Shavers, V. L. Measurement of socioeconomic status in health disparities research. J. Natl Med. Assoc. 99, 1013â1023 (2007).
Google ScholarÂ
Fomba, B. K., Talla, D. N. D. F. & Ningaye, P. Institutional quality and education quality in developing countries: effects and transmission channels. J. Knowl. Econ. 14, 86â115 (2022).
Altinok, N., Angrist, N. & Patrinos, H. A. Global Data Set on Education Quality (1965â2015) (World Bank, 2018); https://doi.org/10.1596/1813-9450-8314
Poverty Headcount Ratio at $1.90 a Day (2011 PPP) (% of Population) (World Bank, accessed 10 May 2022); https://data.worldbank.org/indicator/SI.POV.DDAY
Population, Total (World Bank, accessed 10 May 2022); https://data.worldbank.org/indicator/SP.POP.TOTL
Bukhman, G. et al. The Lancet NCDI Poverty Commission: bridging a gap in universal health coverage for the poorest billion. Lancet 396, 991â1044 (2020).
Google ScholarÂ
Member HDSSs. INDEPTH Network http://www.indepth-network.org/member-centres
Bukhman, G., Mocumbi, A. O. & Horton, R. Reframing NCDs and injuries for the poorest billion: a Lancet Commission. Lancet 386, 1221â1222 (2015).
Google ScholarÂ
Chomistek, A. K. et al. Healthy lifestyle in the primordial prevention of cardiovascular disease among young women. J. Am. Coll. Cardiol. 65, 43â51 (2015).
Google ScholarÂ
Heath, L., Jebb, S. A., Aveyard, P. & Piernas, C. Obesity, metabolic risk and adherence to healthy lifestyle behaviours: prospective cohort study in the UK Biobank. BMC Med. 20, 65 (2022).
Google ScholarÂ
Di Cesare, M. et al. Inequalities in non-communicable diseases and effective responses. Lancet 381, 585â597 (2013).
Google ScholarÂ
Kruk, M. E. et al. High-quality health systems in the Sustainable Development Goals era: time for a revolution. Lancet Glob. Health 6, e1196âe1252 (2018).
Google ScholarÂ
Srinivas, A., Jalota, S., Mahajan, A. & Miller, G. Illness and wage loss: longitudinal evidence from India (and Implications for the Universal Health Coverage Agenda). Preprint at medRxiv https://doi.org/10.1101/2021.11.04.21265892 (2021).
Yusuf, S. et al. Cardiovascular risk and events in 17 low-, middle- and high-income countries. N. Engl. J. Med. 371, 818â827 (2014).
Google ScholarÂ
Dieleman, J. L. et al. Sources and focus of health development assistance, 1990â2014. J. Am. Med. Assoc. 313, 2359â2368 (2015).
Google ScholarÂ
Chang, A. Y. et al. Past, present and future of global health financing: a review of development assistance, government, out-of-pocket and other private spending on health for 195 countries, 1995â2050. Lancet 393, 2233â2260 (2019).
Google ScholarÂ
World Population Prospects 2022 (United Nations Department of Economic and Social Affairs, 2022); https://population.un.org/wpp/Download/Standard/Population/
Howe, L. D. et al. Measuring socio-economic position for epidemiological studies in low- and middle-income countries: a methods of measurement in epidemiology paper. Int. J. Epidemiol. 41, 871â886 (2012).
Google ScholarÂ
Alkire, S., Kanagaratnam, U., & Suppa, N. Global Multidimensional Poverty Index 2021: Unmasking Disparities by Ethnicity, Caste and Gender (OPHI & UNDP, 2021); https://ora.ox.ac.uk/objects/uuid:ce6a7338-9c0f-46e6-bbbd-2743e95563cb/files/s5q47rp795
Whelton, P. K. et al. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA guideline for the prevention, detection, evaluation and management of high blood pressure in adults: a report of the American College of Cardiology/American heart association task force on clinical practice guidelines. Hypertension 71, 1269â1324 (2018).
American Diabetes Association. Professional Practice Committee. 2. Classification and diagnosis of diabetes: standards of medical care in diabetesâ2022. Diabetes Care 45, S17âS38 (2021).
Google ScholarÂ
World Bank Country and Lending GroupsâWorld Bank Data Help Desk (World Bank, accessed 6 May 2022); https://datahelpdesk.worldbank.org/knowledgebase/articles/906519-world-bank-country-and-lending-groups
Unger, T. et al. International Society of Hypertension Global Hypertension Practice Guidelines. Hypertension 75, 1334â1357 (2020).
Sacks, D. B. et al. Guidelines and recommendations for laboratory analysis in the diagnosis and management of diabetes mellitus. Clin. Chem. 57, e1âe47 (2011).
Google ScholarÂ
Definition and Diagnosis of Diabetes Mellitus and Intermediate Hyperglycaemia: Report of a WHO/IDF Consultation (World Health Organization & International Diabetes Federation, 2006).
Obesity: Preventing and Managing the Global Epidemic: Report of a WHO Consultation (WHO, 2000).
Friedewald, W. T., Levy, R. I. & Fredrickson, D. S. Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin. Chem. 18, 499â502 (1972).
National Cholesterol Education Program E. Detection, Evaluation and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III)âFinal Report (National Institutes of Health, 2001); https://www.nhlbi.nih.gov/files/docs/resources/heart/atp-3-cholesterol-full-report.pdf
Ahmad, O. B., Boschi-pinto, C., Lopez, A. D., Lozano, R. & Inoue, M. Age Standardization of Rates: A New WHO Standard (WHO, 2009).
WHO Package of Essential Noncommunicable (PEN) Disease Interventions for Primary Health Care (WHO, 2020); https://www.who.int/publications/i/item/9789240009226
The WHO CVD Risk Chart Working Group. World Health Organization cardiovascular disease risk charts: revised models to estimate risk in 21 global regions. Lancet Glob. Health 7, e1332âe1345 (2019).
Google ScholarÂ
Poverty Headcount Ratio at $3.20 a day (2011 PPP) (% of population) (World Bank, accessed 19 July 2022); https://data.worldbank.org/indicator/SI.POV.LMIC
Poverty Headcount Ratio at $5.50 a day (2011 PPP) (% of population) (World Bank, accessed 19 July 2022); https://data.worldbank.org/indicator/SI.POV.UMIC
World Development Indicators. GDP per capita, PPP (constant 2011 international $) (World Bank, accessed 19 May 2022); https://data.worldbank.org/indicator/NY.GDP.PCAP.PP.KD
Poverty Gap at $1.90 a Day (2011 PPP) (%) (World Bank, accessed 18 July 2022); https://data.worldbank.org/indicator/SI.POV.GAPS
[ad_2]
Source link