Betel Quid Health Risks of Insulin Resistance Diseases in Poor Young South Asian Native and Immigrant Populations
Abstract
:1. Introduction
2. Materials and Methods
3. Areca Nut/Betel Quid—Historical Perspectives
4. Betel Quid Preparations
5. Cultural and Medicinal Uses of Areca Nut and Betel Quid
6. Trends in Combining Areca Nut with Tobacco in Betel Quid
7. Betel Quid Economics
8. Betel Quid: Expanded Use through Gateway Exposures, Marketing, and Sex
9. Adverse Health Effects of Chronic Betel Quid and Tobacco Exposures
10. Physiology, Chemistry, and Direct Actions of Areca Nut and Nicotine
11. Arecoline Metabolism, Pathophysiology, and Disease
12. Nicotine Metabolism, Pathophysiology, and Disease
13. The Rising Tide of Insulin Resistance Diseases and Cognitive Impairment in High Betel Quid Producing and Consuming Nations
14. Mechanisms of Arecoline-Mediated Cellular and Tissue Injury
15. Potential Dietary Measures to Reduce Adverse Effects of Chronic Betel Quid Consumption
16. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
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Territory | Production (mt) | Production (mt) | %Change | Production (mt) | %Change | Production (mt) | %Change | %Change | ||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
1990 | %World | 2000 | %World | 1990–2000 | 2010 | % World | 2000–2010 | 2014 | %World | 2010–2014 | 1990–2014 | |
World | 868,124.0 | 100.00 | 1,271,098.8 | 100.00 | 46.42 | 1,889,697.0 | 100.00 | 48.67 | 1,928,986.5 | 100.00 | 2.08 | 122.2 |
India | 416,734.4 | 48.00 | 576,613.6 | 45.36 | 38.36 | 835,216.1 | 44.20 | 44.85 | 1,086,829.3 | 56.34 | 30.13 | 160.8 |
China/Taiwan | 194,109.1 | 22.36 | 291,757.8 | 22.95 | 50.31 | 230,185.9 | 12.18 | −21.10 | 212,185.1 | 11.00 | −7.82 | 9.3 |
Indonesia | 113,884.7 | 13.12 | 187,710.4 | 14.77 | 64.83 | 322,030.0 | 17.04 | 71.56 | 82,123.8 | 4.26 | −74.50 | −27.9 |
Myanmar | 56,385.8 | 6.50 | 68,313.0 | 5.37 | 21.15 | 206,183.1 | 10.91 | 201.82 | 207,772.2 | 10.77 | 0.77 | 268.5 |
Bangladesh | 39,768.9 | 4.58 | 78,629.1 | 6.19 | 97.72 | 160,195.5 | 8.48 | 103.74 | 178,226.0 | 9.24 | 11.26 | 348.2 |
Thailand | 24,323.3 | 2.80 | 34,946.3 | 2.75 | 43.67 | 62,160.3 | 3.29 | 77.87 | 64,073.9 | 3.32 | 3.08 | 163.4 |
Malaysia | 6989.3 | 0.81 | 5766.1 | 0.45 | −17.50 | 1135.8 | 0.06 | −80.30 | 643.0 | 0.03 | −43.38 | −90.8 |
Sri Lanka | 5241.9 | 0.60 | 15,997.9 | 1.26 | 205.19 | 52,209.7 | 2.76 | 226.35 | 73,347.0 | 3.80 | 40.49 | 1299.2 |
Bhutan | 4368.3 | 0.50 | 5416.7 | 0.43 | 24.00 | 12,720.4 | 0.67 | 134.84 | 16,581.3 | 0.86 | 30.35 | 279.6 |
Nepal | 4193.6 | 0.48 | 5766.1 | 0.45 | 37.50 | 7454.0 | 0.39 | 29.27 | 7002.4 | 0.36 | −6.06 | 67.0 |
Kenya | 186.1 | 0.02 | 157.3 | 0.01 | −15.48 | 195.7 | 0.01 | 24.45 | 197.3 | 0.01 | 0.82 | 6.0 |
Maldives | 28.0 | 0.00 | 24.5 | 0.00 | −12.50 | 10.5 | 0.00 | −57.14 | 5.2 | 0.00 | −50.00 | −81.3 |
Production (mt) | Production (mt) | %Change | Production (mt) | %Change | Production (mt) | %Change | %Change | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
1990 | %World | 2000 | %World | 1990–2000 | 2010 | %World | 2000–2010 | 2014 | %World | 2010–2014 | 1990–2014 | |
World | 868,124 | 100 | 1,271,099 | 100 | 46.42 | 1,889,697 | 100 | 48.67 | 1,928,987 | 100 | 2.08 | 122.2 |
Asia | 867,938 | 99.98 | 1,270,942 | 99.99 | 46.43 | 1,889,501 | 99.99 | 48.67 | 1,928,789 | 99.99 | 2.08 | 122.2 |
Southern | 472,246 | 54.40 | 682,448 | 53.69 | 44.51 | 1,067,806 | 56.51 | 56.47 | 1,361,991 | 70.61 | 27.55 | 188.4 |
South Eastern | 201,583 | 23.22 | 296,736 | 23.34 | 47.20 | 591,509 | 31.30 | 99.34 | 354,613 | 18.38 | −40.05 | 75.9 |
Eastern | 194,109 | 22.36 | 291,758 | 22.95 | 50.31 | 230,186 | 12.18 | −21.10 | 212,185 | 11.00 | −7.82 | 9.3 |
Africa | 186 | 0.02 | 157 | 0.01 | −15.48 | 196 | 0.01 | 24.45 | 197 | 0.01 | 0.82 | 6.0 |
Production (mt) | Production (mt) | %Change | Production (mt) | %Change | Production (mt) | %Change | %Change | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Economy | 1990 | % World | 2000 | % World | 1990–2000 | 2010 | % World | 2000–2010 | 2014 | % World | 2010–2014 | 1990–2014 |
Low income | 463,259 | 53.36 | 661,166 | 52.02 | 42.72 | 1,003,061 | 53.08 | 51.71 | 1,272,255 | 65.95 | 26.84 | 174.6 |
Food importer | 112,083 | 12.91 | 174,305 | 13.71 | 55.51 | 438,969 | 23.23 | 151.84 | 483,131 | 25.05 | 10.06 | 331.0 |
Least developed | 106,627 | 12.28 | 158,125 | 12.44 | 48.30 | 386,553 | 20.46 | 144.46 | 409,582 | 21.23 | 5.96 | 284.1 |
Land-locked | 8096 | 0.93 | 11,183 | 0.88 | 38.12 | 20,174 | 1.07 | 80.41 | 23,584 | 1.22 | 16.90 | 191.3 |
Small island | 28 | 0.00 | 24 | 0.00 | −12.50 | 10 | 0.00 | −57.14 | 5 | 0.00 | −50.00 | −81.3 |
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de la Monte, S.M.; Moriel, N.; Lin, A.; Abdullah Tanoukhy, N.; Homans, C.; Gallucci, G.; Tong, M.; Saito, A. Betel Quid Health Risks of Insulin Resistance Diseases in Poor Young South Asian Native and Immigrant Populations. Int. J. Environ. Res. Public Health 2020, 17, 6690. https://doi.org/10.3390/ijerph17186690
de la Monte SM, Moriel N, Lin A, Abdullah Tanoukhy N, Homans C, Gallucci G, Tong M, Saito A. Betel Quid Health Risks of Insulin Resistance Diseases in Poor Young South Asian Native and Immigrant Populations. International Journal of Environmental Research and Public Health. 2020; 17(18):6690. https://doi.org/10.3390/ijerph17186690
Chicago/Turabian Stylede la Monte, Suzanne M., Natalia Moriel, Amy Lin, Nada Abdullah Tanoukhy, Camille Homans, Gina Gallucci, Ming Tong, and Ayumi Saito. 2020. "Betel Quid Health Risks of Insulin Resistance Diseases in Poor Young South Asian Native and Immigrant Populations" International Journal of Environmental Research and Public Health 17, no. 18: 6690. https://doi.org/10.3390/ijerph17186690
APA Stylede la Monte, S. M., Moriel, N., Lin, A., Abdullah Tanoukhy, N., Homans, C., Gallucci, G., Tong, M., & Saito, A. (2020). Betel Quid Health Risks of Insulin Resistance Diseases in Poor Young South Asian Native and Immigrant Populations. International Journal of Environmental Research and Public Health, 17(18), 6690. https://doi.org/10.3390/ijerph17186690