| Literature DB >> 19151435 |
J S Thakur1, B T Rao, Arvind Rajwanshi, H K Parwana, Rajesh Kumar.
Abstract
Based on a citizen's report, a house-to-house survey was conducted in Talwandi Sabo and Chamkaur Sahib Community Development Blocks in Bathinda and Roop Nagar District respectively in Punjab state located in a northern part of India to identify the number of existing cancer cases, and the number of cancer deaths that occurred in the last 10 years. Age adjusted prevalence of confirmed cancer cases per 100,000 population was 125 (107/85315) in Talwandi Sabo and 72 (71/97928) in Chamkaur Sahib. Cancer of female reproductive system, i.e., breast, uterus/cervix and ovary were more common in Talwandi sabo whereas cancer of blood and lymphatic system, esophagus, and bones were more common in Chamkaur Sahib. Cancer deaths per 100,000 populations per year were 52 in Talwandi Sabo compared to 30 at Chamkaur Sahib. A comparison of the characteristics of randomly selected individuals, from the villages where a cancer case existed or death due to cancer had occurred in last 2 years, revealed that involvement in cultivation, pesticide use, alcohol consumption and smoking were more common in Talwandi Sabo as compared to Chamkaur Sahib. Limited studies show that in drinking water the levels of heavy metals such as As, Cd, Cr, Se, Hg were generally higher, and pesticides such as heptachlor, ethion, and chloropyrifos were also higher in samples of drinking water, vegetables, and blood in Talwandi Sabo as compared to Chamkaur Sahib. As multiple factors were responsible for significantly higher prevalence of cancer cases in Talwandi Sabo, therefore, a multi-pronged strategy to discourage the indiscriminate use of pesticides, tobacco and alcohol needs to be adopted for cancer prevention, and a cancer registry should be set up for elucidation of the role of pesticides and heavy metals in the etiology of cancer in this area.Entities:
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Year: 2008 PMID: 19151435 PMCID: PMC3700000 DOI: 10.3390/ijerph5050399
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Distribution of Cancer Morbidity and Mortality in Talwandi Sabo and Chamkaur Sahib Community Development Blocks in Punjab, India
| Villages surveyed | 36 | 93 |
| Households | 20,164 | 19,568 |
| Population | 85,315 | 97,928 |
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| Males | 45371(53.2) | 53103(54.2) |
| Females | 39944(46.8) | 44825(45.8) |
| Age distribution | ||
| Children < 10 years | 2794(3.3) | 8588(8.8) |
| Adolescents 10–19 years | 16188(18.9) | 22578(23.1) |
| Adults 20–59 years | 55777(65.4) | 55626(56.8) |
| Elderly 60+ years | 10556(12.4) | 11136(11.4) |
| Deaths reported in last 10 years | 3,828 | 3,613 |
| Death rate per 1000 per year | 4.48 | 3.69 |
| Suspected cancer cases | 179 | 129 |
| Histologically confirmed cancer cases | 107 | 71 |
| Age adjusted prevalence of histologically confirmed cancer cases/1,00,000 | 125.4 | 72.5 |
| Clinically diagnosed cancer cases | 43 | 19 |
| Age adjusted prevalence of clinically diagnosed cancer cases /1,00,000 | 50.4 | 19.4 |
Figures in parenthesis are percentage
P<0.001
Five most common sites of cancer among deaths and confirmed cancer cases
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| Cancer | Cancer | ||||||
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| Breast | 0 | 37 | 37(34.5) | Breast | 0 | 13 | 13(18.3) |
| Uterus/cervix | 0 | 22 | 22(21.2) | Uterus/cervix | 0 | 9 | 9 (12.7) |
| Leukemia / Lymphoma | 5 | 2 | 7(6.7) | Esophagus | 3 | 4 | 7(9.8) |
| Esophagus | 0 | 5 | 5(4.8) | Leukemia / Lymphoma | 4 | 2 | 6(8.5) |
| Skin | 2 | 2 | 4(3.9) | Skin | 1 | 2 | 3(4.2) |
| Ovary | 0 | 4 | 4(3.9) | Bone | 1 | 2 | 3(4.2) |
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| Others | 20 | 8 | 28(26.1) | Other | 16 | 14 | 30(42.2) |
Figures in parenthesis are percentage
Age and sex distribution of cases and control in study and reference area
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| M | F | M | F | M | F | M | F | |
| Children (<10 yrs.) | 1 (1.5) | 0 (0.0) | 1 (1.1) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 1 (0.8) |
| Adolescents (10–19 yrs.) | 1 (1.5) | 1 (0.8) | 3 (3.4) | 1 (0.6) | 3 (6.5) | 0 (0.0) | 4 (7.4) | 2 (1.6) |
| Adults (20–59 yrs.) | 36 (54.5) | 73 (64.6) | 51 (58.6) | 130 (73.4) | 24 (52.2) | 57 (68.7) | 28 (51.9) | 96 (75.0) |
| Elderly 60+yrs. | 28 (42.4) | 39 (34.5) | 32 (36.8) | 46 (26.0) | 19 (41.3) | 26 (31.3) | 22 (40.7) | 29 (22.7) |
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| Total | 66 (36.9) | 113 (63.1) | 87 (33.0) | 177 (67.0) | 46 (35.7) | 83 (64.3) | 54 (29.7) | 128 (70.3) |
Figures in parenthesis are percentage
Pattern of usage of Drinking Water and other Risk factors among cases and controls
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| Hand pump | 110(61.5) | 0(0.0) | 94 (72.9) | 143(78.6) | 0.4 (0.3–0.7) | 0.0005 |
| Canal Water | 6(3.4) | 0(0.0) | 0(0.0) | 0(0.0) | - | 0.014 |
| Tap Water | 74(41.3) | 5(2.7) | 36 (27.9) | 43 (23.6) | 2.3 (1.4–3.7) | 0.0004 |
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| Water pollution | 57(31.8) | 59(22.3) | 3 (2.3) | 4(2.2) | 20.8(7.0–69.3) | 0.0000 |
| Treated Water | 8(4.5) | 5(1.9) | 2 (1.6) | 1(0.5) | 8.5(1.1–182.4) | 0.019 |
| Cultivators | 24(13.4) | 34(12.9) | 11(8.5) | 8(4.4) | 3.4(1.4–8.5) | 0.0046 |
| Pattern of pesticide use | ||||||
| Pesticide user in agriculture | 31(17.3) | 37(14.0) | 5(3.9) | 5(2.7) | 7.4(2.6–22.3) | 0.0000 |
| Involved in spray | 29(16.2) | 37(14.0) | 5(3.9) | 5(2.7) | 6.8 (2.4–20.7) | 0.0000 |
| Storage of pesticide | ||||||
| Home | 14(7.8) | 20(7.6) | 4(3.1) | 3(1.6) | 5.1 (1.3–22.6) | 0.0117 |
| Farm | 14(7.8) | 17(6.4) | 2(1.6) | 2(1.1) | 7.6 (1.6–49.4) | 0.0044 |
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| Canal | 4(2.2) | 5(1.9) | 0(0.0) | 0(0.0) | - | 0.059 |
| Home | 2(1.1) | 1(0.4) | 1(0.8) | 0(0.0) | - | 0.245 |
| Farm | 22(12.3) | 31(11.7) | 5(3.9) | 5(2.7) | 5.0(1.7–15.3) | 0.0011 |
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| Vegetarian | 147(82.1) | 232(87.9) | 103(79.8) | 172(94.5) | 0.3(0.1–0.6) | 0.0004 |
| Non-vegetarian | 32(17.9) | 32(12.1) | 26(20.2) | 10(5.5) | 3.7(1.7–8.5) | 0.0005 |
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| Not at all in last 7 day | 26(14.5) | 38(14.4) | 64 (14.4) | 12(6.6) | 2.4(1.1–5.3) | 0.022 |
| More than one day | 70(39.1) | 108(40.9) | 178 (40.2) | 109(59.9) | 0.4(0.3–0.7) | 0.0001 |
| More than three day | 10(5.6) | 19(7.2) | 29 (6.5) | 12(6.6) | 0.8(0.3–2.1) | 0.857 |
| On most days | 73(40.8) | 99(37.5) | 172 (38.8) | 46(26.9) | 2.0(1.3–3.3) | 0.0025 |
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| Smokers | 25(14.0) | 14(5.3) | 6(4.7) | 5(2.7) | 5.8(2.0–17.6) | 0.0002 |
| Chewing Tobacco | 14(7.8) | 13(4.9) | 5(3.9) | 3(1.6) | 5.1(1.3–22.6) | 0.011 |
| Passive smokers | 33(18.4) | 41(15.5) | 11(8.5) | 13(7.1) | 2.9(1.4–6.1) | 0.002 |
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| Alcohol drink | 24(13.4) | 23(8.7) | 17(13.2) | 7(3.8) | 3.9(1.5–10.2) | 0.002 |
| Drug abusers | 9(5.0) | 10 (3.8) | 2(1.6) | 0(0.0) | - | 0.0016 |
| History of having Jaundice | 18(10.1) | 10(3.8) | 9 (7.0) | 3(1.6) | 6.7(1.8–29.0) | 0.0014 |
Figures in parenthesis are percentage
Multiple sources of drinking water
Area-wise Pesticides and Heavy metals in drinking water and vegetables in Talwandi Sabo and Chamkaur Sahib
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| Tap water | Talwandi Sabo (n = 9) | Cr, Se, Hg | - | As, Ni, Se | - | As, Cd, Cr, Ni, Se, | - |
| Ground Water | Chamkaur Sahib (n = 9) | As, Ni | - | As | As, Cd, Ni, Se, Hg | - | |
| Talwandi Sabo (n = 9) | As, Ni, Cr, Se | As, Se | As, Cr, Se | - | Cd, Cr, Ni, Se, Hg | Hg | |
| Chamkaur Sahib(n = 9) | As | - | Ni, Se | - | Cd, Ni, As, Se, Hg | - | |
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| Pesticides | |||||||
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| Tap Water | Talwandi Sabo (n = 9) | Heptachlor | Heptachlor | Heptachlor- exo and endoepoxide, Melathion, Dimethionate γ -HCH, δ-HCH | γ- HCH Melathion | Heptachlor, α - HCH, β- HCH, γ- HCH | Heptachlor |
| Ground Water | Chamkaur Sahib (n = 9) | Heptachlor endoepoxide, Melathion, Dimethionate δ-HCH | - | Heptachlor-exoepoxide Melathion, Dimethionate γ -HCH, δ-HCH | - | Heptachlor, α - HCH, β- HCH, γ- HCH | - |
| Talwandi Sabo (n = 9) | Heptachlor | Heptachlor | Heptachlor, Heptachlor-exo and endoepoxide, , Malathion, γ -HCH, δ-HCH | Heptachlor, Melathion, γ- HCH | Heptachlor, Heptachlor-exoepoxide α -Endosulfan α-HCH, β-HCH, γ- HCH, Aldrin, Cholopyrifos | Heptachlor | |
| Chamkaur Sahib(n = 9) | Heptachlor exo and endoepoxide, Melathion, γ - HCH, δ-HCH | - | Heptachlor-exo and endoepoxide Melathion, β- HCH, γ- HCH | Melathion | Heptachlor, α - HCH, β- HCH, γ- HCH | - | |
| Pesticides in Vegetables (Potato, Bottle gourd, Carrot, Round gourd, Cauliflower, Grapes, Bitter gourd) | Talwandi Sabo (n = 9) | Heptachlor, γ- HCH Chloropyrifos α-Endosulfan, Heptachlor-endoepoxide, Aldrin, Ethion | Ethion Chloropyrifos | Melathion, α-Endosulfan, Chloropyrifos, γ- HCH Phorate | Phorate Cholorpyrifos | α -HCH, γ- HCH,, Heptachlor, Malathion, Heptachlor exo and endoepoxide, Endosulphan sulphate β- endosulphan, 4, 4, DDT, Chlorophyrifos | - |
| (Cabbage, Bottle gourd, Brinjal, Potato, Capsicum) | Chamkaur Sahib (n = 9) | Heptachlor, Cholopyrifos, α - HCH, β- HCH, δ - HCH | - | Heptachlor, α endosulphan, Cholorpyrifos | Heptachlor, Cholorpyrifos | Hepatachlor, Endosulphan, β- endosulphan, Chloropyrifos, Malathion, Dieldrin | - |
MPL* (ppm) - As-0.01, Cd-0.005, Cr-0.1, Se-0.05, Hg-0.002(All in water), Heptachlor (Water)-0.00003, Melathion(Water)-0.0005, γ-HCH(Water)-0.00004, Heptachlor (Vegetables)- 0.055, Chlorpyrifos (Vegetables)-0.01, Ethion(Vegetables)-1.0, Phorate (Grapes)-0.05