| Literature DB >> 26911243 |
Ronan Van Rossem1, Dominique Meekers2, Anastasia J Gage3.
Abstract
BACKGROUND: Over the past few decades Egypt has attempted to limit and control female genital mutilation (FGM). However, these efforts have not succeeded in curbing the practice, which maintains wide popular support and is firmly embedded in local traditions and structures. An attitudinal change is therefore a prerequisite for any successful campaign against FGM. This paper charts the evolution of beliefs that the practice of FGM in Egypt should be stopped.Entities:
Mesh:
Year: 2016 PMID: 26911243 PMCID: PMC4765026 DOI: 10.1186/s12939-016-0324-x
Source DB: PubMed Journal: Int J Equity Health ISSN: 1475-9276
Fig. 1Trends in the percentage of ever-married women who believe FGM should be discontinued
Proportion of ever married women who believe FGM should be discontinued, by background characteristics and over EDHS waves
| Npd/N | EDHS survey (year) | Ε2 across survey waves | |||||
|---|---|---|---|---|---|---|---|
| 1995 | 2000 | 2003 | 2005 | 2008 | 2014 | ||
| Total | 1882/14769 | 2326/15558 | 1620/9154 | 4536/19461 | 4742/16524 | 6807/21756 | |
| Birth cohort | |||||||
| Ε2 across categories of variable | 0.003*** | 0.003*** | 0.002 | 0.001*** | 0.002*** | 0.003*** | |
| 1945–49 | 186/1286 | ||||||
| 1950–54 | 296/2040 | 341/2163 | 67/323 | 0.002* | |||
| 1955–59 | 315/2405 | 354/2181 | 214/1287 | 515/2310 | 194/680 | 0.014*** | |
| 1960–64 | 361/2644 | 428/2637 | 264/1474 | 715/2849 | 592/2266 | 100/316 | 0.018*** |
| 1965–69 | 359/2846 | 438/2704 | 263/1509 | 709/3154 | 670/2572 | 818/2675 | 0.023*** |
| 1970–74 | 285/2430 | 408/2832 | 299/1621 | 782/3206 | 724/2548 | 806/2886 | 0.025*** |
| 1975–79 | 79/1093 | 295/2339 | 330/1713 | 912/3762 | 914/2963 | 1103/3678 | 0.033*** |
| 1980–84 | 2/26 | 63/700 | 166/1098 | 723/3173 | 992/3227 | 1330/4155 | 0.025*** |
| 1985–89 | 0/2 | 16/127 | 180/1004 | 605/2057 | 1592/4633 | 0.016*** | |
| 1990–94 | 1/5 | 51/211 | 922/2842 | 0.002* | |||
| 1995–99 | 136/570 | ||||||
| Region | |||||||
| Ε2 across categories of variable | 0.076*** | 0.091*** | 0.064*** | 0.071*** | 0.073*** | 0.062*** | |
| Urban Governorates | 835/3312 | 988/2983 | 561/1666 | 1371/3288 | 1434/2931 | 1453/2774 | 0.039*** |
| Lower Egypt - Urban | 350/1828 | 372/1945 | 300/1179 | 787/2198 | 731/1936 | 1075/2317 | 0.051*** |
| Lower Egypt - Rural | 208/4377 | 271/4880 | 320/2922 | 1108/6208 | 1094/5682 | 2171/8342 | 0.048*** |
| Upper Egypt - Urban | 296/1578 | 396/1806 | 242/1061 | 591/2410 | 648/1789 | 901/2421 | 0.026*** |
| Upper Egypt - Rural | 149/3540 | 251/3738 | 197/2327 | 582/5140 | 727/3959 | 1116/5709 | 0.031*** |
| Frontier Governorate | 45/135 | 49/207 | 98/218 | 108/227 | 91/194 | 0.038*** | |
| Religion | |||||||
| Ε2 across categories of variable | 0.035*** | 0.036*** | 0.036*** | 0.037*** | |||
| Muslim | 1573/13974 | 3939/18397 | 4213/15737 | 6177/20915 | 0.025*** | ||
| Christian | 309/792 | 595/1049 | 527/782 | 623/819 | 0.074*** | ||
| Other | 0/1 | 7/17 | 0.040 | ||||
| Missing | 0/2 | 2326/15558 | 1620/9154 | 2/15 | 1/5 | 0/6 | 0.001*** |
| Respondent circumcised? | |||||||
| Ε2 across categories of variable | 0.163*** | 0.076*** | 0.078*** | 0.084*** | 0.080*** | 0.090*** | |
| No | 393/439 | 304/405 | 206/256 | 663/807 | 644/732 | 1329/1675 | 0.013*** |
| Yes | 1489/14331 | 2022/15153 | 1411/8885 | 3872/18645 | 4098/15788 | 5474/20075 | 0.026*** |
| Labor market status | |||||||
| Ε2 across categories of variable | 0.088*** | 0.059*** | 0.051*** | 0.038*** | 0.033*** | 0.018*** | |
| Not working | 1181/11767 | 1587/12809 | 1109/7076 | 3285/15146 | 3647/13776 | 5546/18246 | 0.035*** |
| Prof., Tech., Manag. | 432/964 | 464/1119 | 304/762 | 678/1553 | 658/1264 | 754/1589 | 0.006*** |
| Clerical | 207/660 | 205/641 | 109/274 | 240/548 | 139/314 | 139/324 | 0.014*** |
| Sales | 16/360 | 9/157 | 24/101 | 53/298 | 30/115 | 89/398 | 0.053*** |
| Agric-self employed | 0/378 | 1/59 | 7/174 | 43/598 | 8/78 | 25/221 | 0.029*** |
| Agric-employee | 4/294 | 9/415 | 24/501 | 31/506 | 37/322 | 22/344 | 0.018*** |
| Household & domestic | 6/83 | ||||||
| Services | 6/42 | 18/157 | 27/100 | 152/447 | 172/398 | 146/353 | 0.045*** |
| Skilled manual | 24/209 | 21/161 | 15/157 | 43/217 | 35/110 | 72/240 | 0.046*** |
| Unskilled manual | v | 0/4 | 11/145 | 12/140 | 14/41 | 0.076*** | |
| Don’t know | 0/4 | 1/4 | 2/2 | 0/2 | 0.693* | ||
| Highest education level | |||||||
| Ε2 across categories of variable | 0.201*** | 0.165*** | 0.122*** | 0.093*** | 0.106*** | 0.064*** | |
| No education | 174/6460 | 300/6730 | 187/3451 | 758/6736 | 716/5302 | 894/5232 | 0.033*** |
| Primary | 248/3666 | 251/2845 | 194/1559 | 437/3051 | 406/2047 | 498/2232 | 0.027*** |
| Secondary | 905/3701 | 1064/4716 | 807/3284 | 2288/7660 | 2439/7236 | 3757/11275 | 0.009*** |
| Higher | 555/943 | 711/1267 | 432/860 | 1053/2015 | 1182/1940 | 1658/3017 | 0.005*** |
| Partner’s education level | |||||||
| Ε2 across categories of variable | 0.161*** | 0.128*** | 0.084*** | 0.064*** | 0.073*** | 0.039*** | |
| No education | 116/4490 | 222/4675 | 135/2231 | 540/4507 | 507/3579 | 742/3721 | 0.042*** |
| Primary | 229/4047 | 241/3390 | 210/1953 | 613/3776 | 548/2817 | 739/3130 | 0.038*** |
| Secondary | 743/4486 | 938/5405 | 722/3599 | 2022/8158 | 2332/7534 | 3588/11384 | 0.019*** |
| Higher | 792/1716 | 922/2069 | 553/1368 | 1353/2990 | 1356/2593 | 1737/3518 | 0.005*** |
| Don’t know | 2/30 | 3/19 | 0/2 | 0.025 | |||
| Marital status | |||||||
| Ε2 across categories of variable | 0.001** | 0.001*** | 0.001** | 0.001*** | 0.002*** | 0.001** | |
| Married | 1782/13700 | 2193/14369 | 1517/8441 | 4244/18174 | 4453/15394 | 6410/20456 | 0.028*** |
| Widowed | 69/746 | 74/775 | 53/442 | 140/764 | 139/671 | 176/667 | 0.030*** |
| Divorced | 31/322 | 42/307 | 42/205 | 118/394 | 128/353 | 169/460 | 0.060*** |
| Not living together | 17/108 | 8/67 | 33/128 | 23/107 | 53/174 | 0.024** | |
| Place of residence | |||||||
| Ε2 across categories of variable | 0.071*** | 0.093*** | 0.065*** | 0.056*** | 0.069*** | 0.052*** | |
| Capital, large city | 894/3702 | 1111/3393 | 634/1925 | 1535/4109 | 1714/3662 | 0.026*** | |
| Small city | 447/2038 | 539/2554 | 383/1474 | 1084/3185 | 936/2459 | 0.023*** | |
| Town | 166/1063 | 140/913 | 87/508 | 196/732 | 238/685 | 0.034*** | |
| Countryside | 376/7967 | 537/8699 | 517/5249 | 1722/11436 | 1853/9717 | 3324/14135 | 0.040*** |
| Urban (2014) | 3483/7621 | ||||||
| Number of children born | |||||||
| Ε2 across categories of variable | 0.040*** | 0.032*** | 0.028*** | 0.030*** | 0.029*** | 0.022*** | |
| 0 | 216/1388 | 213/1350 | 161/876 | 495/1857 | 598/1694 | 730/1881 | 0.045*** |
| 1 | 329/1797 | 383/2037 | 314/1281 | 821/2793 | 891/2544 | 1118/3097 | 0.025*** |
| 2 | 499/2400 | 668/2822 | 434/1815 | 1260/4060 | 1257/3586 | 2009/5422 | 0.017*** |
| 3 | 423/2411 | 512/2723 | 369/1808 | 989/3957 | 1071/3588 | 1658/5300 | 0.015*** |
| 4 | 226/1922 | 261/2072 | 177/1196 | 503/2610 | 504/2227 | 786/3242 | 0.016*** |
| 5 or more | 189/4851 | 288/4553 | 164/2177 | 468/4185 | 422/2886 | 507/2815 | 0.027*** |
| Wealth index | |||||||
| Ε2 across categories of variable | 0.081*** | 0.043*** | 0.024*** | 0.023*** | 0.014*** | 0.003*** | |
| Low | 71/2511 | 168/1533 | 109/729 | 329/1370 | 266/988 | 302/851 | 0.096*** |
| Middle | 366/6276 | 335/5620 | 202/2421 | 613/4911 | 1019/4922 | 4315/14619 | 0.072*** |
| High | 1445/5982 | 1823/8405 | 1309/6005 | 3595/13181 | 3457/10614 | 2190/6286 | 0.012*** |
| Literacy | |||||||
| Ε2 across categories of variable | 0.142*** | 0.103*** | 0.087*** | 0.065*** | 0.072*** | 0.040*** | |
| Illiterate | 214/7896 | 343/7749 | 239/4015 | 891/7902 | 778/5823 | 964/5815 | 0.032*** |
| Partly literate | 95/1506 | 129/1248 | 85/685 | 195/1208 | 252/1175 | 262/1054 | 0.034*** |
| Fully literate | 1573/5364 | 1853/6557 | 1295/4448 | 3438/10294 | 3711/9514 | 5578/14880 | 0.007*** |
The totals do not always add up to N = 97,274 due to missing values on the independent variables
Significance: *: 0.050; **: 0.010; ***: 0.001
Fig. 2Observed and partial odds ratios for believing FGM should be stopped, by EDHS survey (ref: EDHS 1995. OR = 1)
Fig. 3Discriminant analysis: Correlation of items with linear discriminant functions (LDF). Lit: Literacy (Not: Illiterate, Part.: Partially literate, Fully: Fully literate); LMS: Labor market status (Not: Not working, PTM: Professional, technical and manager occupations, Clerical: Clerical occupations, Sales: Sales occupation, Agric. (self-empl.): Agriculture (self-employed), Agric. (emp): Agriculture (employee), HH & dom: Household and domestic occupations, Services: Service occupations, Sk. man.: Skilled manual, Unsk. man.: Unskilled manual); Circumcised: Is respondent circumcised; # children: Total number of children born; Rural: Rural residence; Reg,: Region (Urb. Gov.: Urban governorates, Low.-R: Lower Egypt – Rural, Low.-U: Lower Egypt – Urban, Up.-R: Upper Egypt – Rural, Up.-U: Upper Egypt – Urban, Frontier. Gov.: Frontier governorates); Ed: Education level of respondent (None: No formal education, Prim.: Primary education, Sec.: Secondary education, High.: Higher education); Wealth: Wealth index
Fig. 4Discriminant analysis, mean (centroid) scores for women who believe FGC should be discontinued and women who do not believe it needs to be discontinued, by EDHS survey
Hierarchical decomposition of the variance of the LDFs
| % of variance on LDF accounted for by | LDF 1 | LDF 2 |
|---|---|---|
| DHS wave | 3.7 % | 7.4 % |
| Attitude towards FGM | 16.5 % | 1.5 % |
| Interaction | 0.8 % | 0.0 % |
| Total | 20.9 % | 9.0 % |
All effects are significant at p < 0.001