| Literature DB >> 34004024 |
Clement T Narh1,2, Charles P Dzamalala3, Blandina T Mmbaga4,5, Diana Menya6, Yohannie Mlombe3, Peter Finch3, Gissela Nyakunga5, Joachim Schüz1, Valerie McCormack1.
Abstract
Geophagia, the intentional practice of consuming soil, occurs across the African esophageal cancer corridor, particularly during pregnancy. We investigated whether this practice is linked to endemic esophageal squamous cell carcinoma (ESCC) in this region. We conducted ESCC case-control studies in Tanzania, Malawi and Kenya. Cases were patients with incident histologically/clinically confirmed ESCC and controls were hospital patients/visitors without digestive diseases. Participants were asked if they had ever eaten soil (never/regularly/pregnancy-only). Odds ratios (OR) are adjusted for sex, age, tobacco, alcohol, country, religion and marital status. Overall, 934 cases (Malawi 535, Tanzania 304 and Kenya females 95) and 995 controls provided geophagia information. Among controls, ever-geophagia was common in women (Malawi 49%, Kenya 43% and Tanzania 29%) but not in men (10% Malawi, <1% Tanzania). In women, ESCC ORs were 1.25 (95% CI: 0.70, 2.22) for regular versus never geophagia and 0.88 (95% CI: 0.64, 1.22) for pregnancy-only versus never. Findings were stronger based on comparisons of cases with hospital visitor controls and were null using hospital patients as controls. In conclusion, geophagia is too rare to contribute to the male ESCC burden in Africa. In women, the practice is common but we did not find consistent evidence of a link to ESCC. The study cannot rule out selection bias masking modest effects. Physical effects of geophagia do not appear to have a large impact on overall ESCC risk. Research with improved constituent-based geophagia exposure assessment is needed.Entities:
Keywords: Africa; cancer epidemiology; esophageal squamous cell carcinoma; geophagia; risk factors
Mesh:
Year: 2021 PMID: 34004024 PMCID: PMC8411422 DOI: 10.1002/ijc.33688
Source DB: PubMed Journal: Int J Cancer ISSN: 0020-7136 Impact factor: 7.396
FIGURE 1Photographs of geophagia tablets or samples from marketplaces in East and Southern Africa [Color figure can be viewed at wileyonlinelibrary.com]
Socio‐demographic characteristics of study participants who were asked about geophagia: ESCCAPE case–control studies (1003 cases and 944 controls)
| Country | ||||||
|---|---|---|---|---|---|---|
| Tanzania | Malawi | Kenya (women only | ||||
| Variable n (Column %) | Control (n = 313) | Case (n = 310) | Control (n = 593) | Case (n = 539) | Control (n = 97) | Case (n = 95) |
| Sex | ||||||
| Men | 237 (76) | 237 (76) | 335 (56) | 311 (58) | 0 (0) | 0 (0) |
| Women | 76 (24) | 73 (24) | 258 (44) | 228 (42) | 97 (100) | 95 (100) |
| Age, years | ||||||
| Mean (SD) | 62.4 (14.2) | 63.7 (14.1) | 55.5 (14.7) | 56.8 (14.3) | 56.8 (15.1) | 58.9 (14.4) |
| Type of control | ||||||
| Non‐hospital | 239 (76) | – | 308 (52) | – | 32 (33) | – |
| Hospital in/out‐patient | 74 (24) | – | 285 (48) | – | 64 (67) | – |
| Smoking | ||||||
| No | 259 (83) | 129 (42) | 452 (76) | 316 (57) | 88 (91) | 69 (73) |
| Yes | 54 (17) | 181 (58) | 140 (24) | 223 (41) | 9 (9) | 26 (27) |
| Alcohol | ||||||
| No | 171 (55) | 75 (24) | 341 (58) | 281 (51) | 79 (81) | 48 (51) |
| Yes | 142 (45) | 235 (76) | 252 (43) | 258 (48) | 18 (19) | 47 (50) |
| Religion | ||||||
| Christian | 201 (86) | 187 (88) | 526 (89) | 445 (83) | 96 (99) | 91 (96) |
| Muslim | 33 (14) | 24 (11) | 50 (8) | 59 (11) | 0 (0) | 0 (0) |
| Other | 1 (0.4) | 2 (0.9) | 17 (3) | 34 (6) | 1 (1) | 4 (4) |
| Education | ||||||
| None/partial primary | 90 (29) | 152 (40) | 325 (55) | 346 (64) | 62 (64) | 63 (67) |
| Completed primary | 162 (52) | 118 (38) | 82 (14) | 67 (12) | 15 (16) | 17 (18) |
| Secondary and above | 61 (20) | 40 (13) | 186 (31) | 126 (23) | 20 (21) | 15 (16) |
| Occupation | ||||||
| Farming | 250 (80) | 266 (86) | 208 (35) | 229 (43) | 59 (61) | 63 (66) |
| Non farming | 63 (20) | 44 (14) | 385 (65) | 310 (58) | 38 (39) | 32 (34) |
| Parity | ||||||
| 0–4 | 129 (41) | 107 (35) | 248 (42) | 239 (44) | 29 (30) | 32 (34) |
| 5–7 | 139 (44) | 141 (45) | 244 (41) | 210 (39) | 45 (46) | 45 (47) |
| 7+ | 45 (15) | 62 (20) | 101 (17) | 90 (17) | 23 (24) | 18 (19) |
| Mean (SD) | 5.6 (3.1) | 6.0 (3.5) | 5.5 (3.1) | 5.4 (3.3) | 5.9 (3.1) | 5.9 (2.9) |
| HIV status | ||||||
| Positive | 6 (2) | 14 (5) | 124 (21) | 131 (24) | 10 (10) | 11 (12) |
| Negative | 222 (71) | 162 (52) | 396 (67) | 364 (68) | 72 (74) | 73 (77) |
| Unknown | 85 (27) | 134 (43) | 73 (12) | 44 (8) | 15 (16) | 11 (12) |
| Residence | ||||||
| Urban | 45 (14) | 33 (11) | 253 (43) | 207 (38) | 80 (83) | 90 (95) |
| Rural | 268 (86) | 277 (89) | 340 (57) | 332 (62) | 17 (18) | 5 (5) |
| Ethnicity | ||||||
| Country‐specific groups | Chagga 227 (73) | 199 (64) | Lomwe 171 (29) | 146 (27) | Kalenjin 58 (60) | 52 (55) |
| – | – | Ngoni 99 (17) | 95 (18) | Luhya 12 (12) | 23 (24) | |
| – | – | Yao 86 (15) | 87 (16) | – | – | |
| – | – | Chewa 60 (10) | 66 (12) | – | – | |
| Other | 86 (28) | 111 (36) | 177 (30) | 145 (27) | 27 (28) | 20 (21) |
Only women were asked about geophagia in Kenya.
No response in Malawi.
Other: None/African traditional/refuse.
Other ethnicities (Tanzania: Non‐Chagga; Malawi: Sena, Manganja, and others; Kenya: Luo, Kikuyu, Kisii and others).
Country‐specific prevalence of geophagia in female cases and controls, and among controls, by sociodemographic factors
| Country | |||||||||||
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| n (Row %) | Kenya | Tanzania | Malawi | ||||||||
| Variable | Category | Never | Preg‐nancy | Total | Never | Preg‐nancy only/regular | Total | Never (%) | Pregnancy only (%) | Regular (%) | Total |
| Status | Cases | 61 (64) | 34 (36) | 95 | 41 (61) | 27 (37) | 68 | 125 (55) | 65 (29) | 37 (16) | 227 |
| Controls | 55 (57) | 42 (43) | 97 | 52 (71) | 21 (28) | 73 | 132 (51) | 96 (37) | 30 (12) | 258 | |
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| Type of control | Hospital visitors | 22 (69) | 10 (31) | 32 | 44 (80) | 11 (20) | 55 | 72 (50) | 60 (42) | 12 (8) | 144 |
| Hospital patients | 32 (50) | 32 (50) | 64 | 8 (44) | 10 (56) | 18 | 60 (53) | 36 (32) | 18 (16) | 114 | |
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| Age | 18 to <40 | 6 (67) | 3 (33) | 9 | 5 (83) | 1 (17) | 6 | 12 (35) | 15 (44) | 7 (21) | 34 |
| 40‐50 | 8 (44) | 10 (56) | 18 | 9 (75) | 3 (25) | 12 | 34 (53) | 23 (36) | 7 (11) | 64 | |
| 50+ | 41 (59) | 29 (41) | 70 | 38 (69) | 17 (31) | 55 | 86 (54) | 58 (36) | 16 (10) | 160 | |
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| Parity | 0–4 | 17 (59) | 12 (41) | 29 | 30 (79) | 8 (21) | 38 | 53 (49) | 36 (33) | 19 (18) | 108 |
| 5–7 | 21 (47) | 24 (53) | 45 | 16 (62) | 10 (38) | 26 | 59 (57) | 38 (37) | 6 (6) | 103 | |
| 7+ | 17 (74) | 6 (26) | 23 | 6 (67) | 3 (33) | 9 | 20 (43) | 22 (47) | 5 (11) | 47 | |
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| Education | None/partial primary | 36 (58) | 26 (42) | 62 | 16 (59) | 11 (41) | 27 | 89 (53) | 59 (35) | 19 (12) | 167 |
| Completed primary | 8 (53) | 7 (47) | 15 | 28 (78) | 8 (22) | 36 | 16 (52) | 10 (32) | 5 (16) | 31 | |
| ≥Secondary | 11 (55) | 9 (45) | 20 | 8 (80) | 2 (20) | 10 | 27 (45) | 27 (45) | 6 (10) | 60 | |
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| Religion | Christian | 55 (57) | 41 (43) | 96 | 28 (73) | 10 (26) | 38 | 118 (51) | 88 (38) | 27 (11) | 233 |
| Muslim | – | – | – | 7 (88) | 1 (13) | 8 | 10 (56) | 6 (33) | 2 (11) | 18 | |
| Other | 0 | 1 (100) | 1 | – | – | – | 4 (57) | 2 (29) | 1 (14) | 7 | |
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| Marital | Married | 36 (53) | 32 (47) | 68 | 46 (73) | 17 (27) | 63 | 68 (50) | 56 (41) | 13 (9) | 137 |
| Status | Unmarried | 19 (66) | 10 (34) | 29 | 6 (60) | 4 (40) | 10 | 64 (53) | 40 (33) | 17 (14) | 121 |
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| HIV | Positive | 5 (50) | 5 (10) | 10 | 1 (100) | 0 | 1 | 22 (38) | 25 (43) | 11 (19) | 58 |
| Negative | 41 (57) | 31 (43) | 72 | 42 (82) | 9 (18) | 51 | 90 (54) | 62 (37) | 15 (9) | 167 | |
| Unknown | 9 (60) | 6 (40) | 15 | 9 (43) | 12 (57) | 21 | 20 (61) | 9 (27) | 4 (12) | 33 | |
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| Residence | Urban | 46 (58) | 34 (43) | 80 | 10 (67) | 5 (33) | 15 | 54 (48) | 47 (42) | 11 (10) | 112 |
| Rural | 9 (53) | 8 (47) | 17 | 42 (72) | 16 (28) | 58 | 78 (53) | 49 (34) | 19 (13) | 146 | |
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| Smoking | No | 51 (58) | 37 (42) | 88 | 52 (71) | 21 (29) | 73 | 125 (52) | 90 (37) | 26 (11) | 241 |
| Yes | 4 (44) | 5 (56) | 9 | – | – | – | 6 (38) | 6 (38) | 4 (24) | 16 | |
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| Alcohol | No | 44 (56) | 35 (44) | 79 | 35 (74) | 12 (26) | 47 | 117 (52) | 82 (37) | 24 (11) | 223 |
| Yes | 11 (61) | 7 (39) | 18 | 17 (65) | 9 (35) | 26 | 15 (43) | 14 (40) | 6 (17) | 35 | |
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Note: *Chi‐square P‐value. P is P‐value for difference between in geophagia prevalence between cases and controls, or, in controls, P‐value for difference by HIV status (restricted to known status), urban/rural, smoking, alcohol and P‐value for trend in age, parity and education.
Country and sex‐specific odds ratios for ESCC associated with the practice of geophagia
| Sex | Country | Age‐sex adjusted | No. cases/controls | Age‐adjusted OR (95% CI) | Fully‐adjusted |
|---|---|---|---|---|---|
| Men | Malawi | Never/rare | 280/298 | 1 | 1 |
| Regularly | 28/32 | 0.98 (0.57, 1.68) | 0.95 (0.53, 1.69) | ||
| Tanzania |
| – | – | ||
| Kenya |
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| Women | Tanzania | Never | 41/52 | 1 | 1 |
| Pregnancy only + Regularly | 27/21 | 1.61 (0.79, 3.29) | 1.66 (0.77, 3.55) | ||
| Kenya | Never | 61/55 | 1 | 1 | |
| Pregnancy only | 34/42 | 0.74 (0.41, 1.33) | 0.71 (0.38, 1.34) | ||
| Malawi | Never | 125/132 | 1 | 1 | |
| Pregnancy only | 65/96 | 0.73 (0.48, 1.09) | 0.73 (0.48, 1.11) | ||
| Regularly | 37/30 | 1.32 (0.76, 2.27) | 1.13 (0.64, 2.00) | ||
| Women | All | Never | 227/239 | 1 | 1 |
| Pregnancy only | 121/158 | 0.83 (0.61, 1.12) | 0.88 (0.64, 1.22) | ||
| Pregnancy only and parity ≤4 | 43/56 | 0.88 (0.56, 1.38) | 0.93 (0.57, 1.48) | ||
| Pregnancy only and parity 4+ | 78/102 | 0.80 (0.57, 1.13) | 0.82 (0.54, 1.25) | ||
| Regularly | 42/31 | 1.48 (0.89, 2.44) | 1.25 (0.70, 2.22) | ||
| Women | Malawi | Never | 125/132 | 1 | |
| Pregnancy only | 65/96 | 0.73 (0.48, 1.09) | 0.73 (0.48, 1.11) | ||
| Pregnancy only and parity ≤4 | 27/36 | 0.83 (0.47, 1.49) | 0.89 (0.49, 1.61) | ||
| Pregnancy only and parity 4+ | 38/60 | 0.67 (0.42, 1.08) | 0.65 (0.39, 1.06) | ||
| Regularly | 37/30 | 1.32 (0.77, 2.29) | 1.14 (0.65, 2.01) | ||
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| Control type | All cases vs hospital patient controls | Never | 227/99 | 1 | 1 |
| Pregnancy only | 121/77 | 0.67 (0.46, 0.98) | 0.75 (0.50, 1.12) | ||
| Regularly | 42/19 | 0.94 (0.52, 1.71) | 0.87 (0.46, 1.65) | ||
| Control type | All cases vs hospital visitor controls | Never | 227/138 | 1 | 1 |
| Pregnancy only | 121/81 | 0.97 (0.68, 1.40) | 1.06 (0.71, 1.58) | ||
| Regularly | 42/12 | 2.41 (1.22, 4.76) | 1.68 (0.80, 3.54) | ||
| Age | <50 years | Never | 59/74 | 1 | 1 |
| Pregnancy only | 50/55 | 1.15 (0.69, 1.93) | 1.20 (0.68, 2.14) | ||
| Regularly | 16/14 | 1.56 (0.70, 3.56) | 1.25 (0.55, 2.86) | ||
| Age | 50+ years | Never | 168/164 | 1 | 1 |
| Pregnancy only | 71/103 | 0.69 (0.47, 1.00) | 0.71 (0.47, 1.08) | ||
| Regularly | 26/17 | 1.50 (0.78, 2.91) | 1.09 (0.52, 2.25) | ||
Note: For the OR, regularly was combined with pregnancy only, due to too few participants.
Fully adjusted models included age (design factor), smoking habit, alcohol drinking, marital status and religious belief with adjustment for country in the “all women” models.
Small numbers of regular users, hence, this overall result is driven by pregnancy‐only users.
Adjusted for country.
Distribution of the tumor location within the esophagus, among esophageal cancer cases in Malawi, by past geophagia habits (never, rarely or regular)
| Tumor location | Total | Chi‐squared test for differences (P‐value) | |||
|---|---|---|---|---|---|
| Case group | Upper | Middle | Lower | ||
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| Never/rare | 43 (15) | 75 (27) | 160 (58) | 249 (100) | 0.66 |
| Regular | 6 (21) | 8 (29) | 14 (50) | 28 (100) | |
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| Never | 29 (23) | 43 (34) | 53 (43) | 125 (100) | |
| Pregnancy only | 13 (20) | 28 (43) | 24 (37) | 65 (100) | 0.39 |
| Regular | 8 (22) | 8 (22) | 21 (56) | 37 (100) | |
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| Never | 25 (44) | 18 (32) | 14 (25) | 57 (100) | 0.42 |
| Pregnancy only | 10 (30) | 14 (42) | 9 (27) | 33 (100) | |
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| Never | 8 (24) | 17 (50) | 9 (26) | 34 (100) | 0.56 |
| Pregnancy only or regular | 3 (15) | 13 (65) | 4 (20) | 20 (100) | |
Analyses could not be conducted of Tanzanian male cases due to too few who had practiced geophagia (7 rare users and 2 regular).
Fourteen missing tumor location in Tanzania and five in Kenya.