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Determinants of consanguinity and inbreeding coefficient in the multiethnic population of Mardan, Khyber Pakhtunkhwa, Pakistan


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Figure 1

Map of the Mardan district (A) superimposed on a map of Pakistan (B). Three tehsils and the neighboring districts are shown in A
Map of the Mardan district (A) superimposed on a map of Pakistan (B). Three tehsils and the neighboring districts are shown in A

Distribution of consanguineous unions, all marriages, and ICF in socioeconomic variables of Mardan population

VariableConsanguineous unionsAll marriagesUnivariate logistic regression OR95% CI
n%n%
Occupation
Professionals20046.243336.01.250.939–1.654
Agriculture/farming14640.835829.8Ref.
Unskilled manual7545.216613.81.200.826–1.735
Sales/business4442.31048.71.060.684–1.657
Skilled manual1942.2453.71.060.566–1.988
Services1942.2453.71.060.566–1.988
Others (n < 27)2752.9514.21.630.907–2.944
Monthly income (in rupees, ×1,000)
Up to 512142.228723.9Ref.
>5–108245.618015.01.150.789–1.671
>10–2015544.734728.91.110.808–1.518
>20–4014247.829724.71.260.907–1.742
>403033.0917.570.670.411–1.108
Caste system# (zaat/biradari)
Makori818.2443.7Ref.
Dalazak1230.8393.22.000.718–5.571
Dewan Khel*1634.8463.82.400.903–6.377
Mohmand*3935.51109.22.471.046–5.841
Gujjar*3140.3776.43.031.244–7.394
Swati*2242.3524.33.301.285–8.475
Utman Khel*2245.8484.03.811.467–9.881
Yousafzai*6946.015012.53.831.670–8.797
Khattak*19546.541934.93.921.778–8.630
Afghan*3049.2615.14.361.743–10.883
Pela Khel*3759.7625.26.662.657–16.693
Others (n < 39)*4952.1947.84.902.060–11.654
Family/household type
Nuclear40643.792977.3Ref.
Extended12445.427322.71.070.817–1.406
Area of house (marla)#
Up to 5*5255.3947.82.991.600–5.594
6–10*21850.842935.72.501.496–4.166
11–1513039.433027.51.570.929–2.654
16–2010639.726722.21.590.932–2.717
20+2429.3826.8Ref.
No. of family members
Up to 516643.538231.8Ref.
6–927244.661050.71.050.809–1.355
10 or more9243.821017.51.010.722–1.425
Marriage arrangement#
Traditionally arranged34538.789174.1Ref.
Arranged–love*18559.531125.92.320.552–0.723

Distribution of consanguineous unions, all marriages, and ICF in demographic variables of Mardan population

VariableConsanguineous unionsAll marriagesUnivariate logistic regression OR95% CI
n%n%
Tehsil#
Mardan11937.931426.1Ref.
Katlang13442.331726.41.200.872–1.650
Takht Bhai*27748.557147.51.541.166–2.045
Total53044.11,202100
Rural/urban origin
Rural43044.796280.01.130.849–1.507
Urban10041.724020.0Ref.
Literacy
Illiterate12139.430725.5Ref.
Literate40945.789574.51.290.993–1.684
Literacy level (years of schooling)
Up to 84050.6796.571.360.836–2.216
9–1221347.045337.71.180.892–1.555
13 and higher15643.036330.2Ref.
Marriage year
1985 or earlier5747.51209.98Ref.
1986–1995*11640.029024.10.740.480–1.131
1996–2005*21546.046738.90.940.631–1.409
2006–2015*14243.732527.00.860.563–1.305
Age of subject (years)
Up to 30*11747.824520.41.470.966–2.246
30.1–40*22345.149441.11.330.904–1.944
40.1–5013642.232226.81.180.786–1.767
3505438.314111.7Ref.

Distribution of types of FC unions in tehsils and rural/urban samples

VariableFC marriage type (n)n%
FBDFSDMBDMSD
Tehsil#
Mardan33262088727.7
Katlang3823231610031.5
Takht Bhai7464602522339.1
Rural/urban origin#
Rural11989884233835.1
Urban26241577230.0
Total (%)145 (35.4) 113(27.6) 103(25.1) 49(12.0)41034.1

Significant predictors of consanguinity in individual tehsils as revealed by multivariate logistic regression

VariableORStd. Err.P95% CI
Mardan tehsil (n = 314) Rural/urban origin
UrbanRef.
Rural1.820.470.0191.10–3.01
Marriage arrangement
Traditionally arrangedRef.
Arranged–love4.101.10<0.00012.43–6.93
Katlang tehsil (n = 317)
Area of house (marla)
Up to 55.633.610.0071.60–19.80
6–106.223.410.0012.12–18.22
11–152.201.210.150.75–6.44
16–201.971.090.230.65–5.86
20+Ref.
Marriage arrangement
Traditionally arrangedRef.
Arranged–love3.681.09<0.00012.06–6.58
Takht Bhai tehsil (n = 571Rural/urban origin)
UrbanRef.
Rural0.050.050.0030.01–0.36
Age of participant (years)
Up to 302.901.470.0361.07–7.85
30.1–402.110.960.100.87–5.14
40.1–501.390.540.400.64–2.99
50+Ref.
Marriage year
1985 or earlierRef.
1986–19950.910.370.810.41–2.01
1996–20050.730.330.490.29–1.79
2006–20150.480.240.150.18–1.30
Caste system
MakoriRef.
Dalazak1.580.960.450.48–5.17
Dewan Khel1.00Empty
Mohmand4.422.420.0061.52–12.91
Gujjar2.831.560.0590.96–8.33
Swati3.552.220.0431.04–12.10
Utman Khel6.954.170.0012.15–22.51
Yousafzai4.292.170.0041.59–11.56
Khattak7.443.54<0.00012.93–18.92
Afghan3.231.820.0381.07–9.74
Pela Khel12.9412.290.0072.01–83.25
Others (n < 39)4.672.430.0031.68–12.95

Distribution of major types of marital unions and ICF in 3 tehsils of the Mardan district

TehsilConsanguineous unions, n (%)Nonconsanguineous unions, n (%)
DFCFCFCORSCSCORDRUnrelatedAll marriagesICF
Mardan8 (2.5)87 (27.7)13 (4.1)11 (3.5)2 (0.6)28 (8.9)165 (52.5)314 (26.1)0.0223
Katlang6 (1.9)100 (31.5)16 (5.0)12 (3.8)4 (1.3)45 (14.2)134 (42.3)317 (26.4)0.0243
Takht Bhai10 (1.8)223 (39.1)29 (5.1)15 (2.6)4 (0.7)69 (12.1)221 (38.7)571 (47.5)0.0286
Total24 (2.0)410 (34.1)58 (4.8)38 (3.2)10 (0.8)142 (11.8)520 (43.3)1,202 (100)0.0258

Significant predictors of consanguinity in Mardan population observed through multivariate logistic regression

VariableORStd. Err.P95% CI
Tehsil
MardanRef.
Katlang1.260.220.190.89–1.79
Takht Bhai1.680.290.0031.20–2.35
Marriage year
≤1985Ref.0.160.0480.33–0.99
1986–19950.57
1996–20050.530.170.0480.28–0.99
2006–20150.340.120.0030.17–0.69
Age of subject (years)
Up to 302.520.920.0111.23–5.14
30.1–401.880.600.0501.00–3.53
40.1–501.450.410.180.84–2.52
≥50Ref.
Caste system
MakoriRef.2.420.0041.60–12.88
Dewan Khel4.54
Mohmand2.811.290.0241.14–6.92
Gujjar3.201.520.0151.26–8.14
Swati4.492.260.0031.67–12.06
Utman Khel4.092.080.0051.52–11.06
Yousafzai4.051.790.0021.70–9.61
Khattak4.872.050.0002.13–11.13
Afghan4.562.230.0021.75–11.89
Pela Khel9.294.590.0003.53–24.44
Others4.932.260.0012.01–12.12
Area of house (marla)
20+Ref.
16–201.310.380.340.75–2.31
11–151.280.360.380.74–2.24
6–102.010.570.0131.16–3.50
Up to 52.610.900.0051.34–5.12
Marriage arrangement
Traditionally arrangedRef.
Arranged–love2.580.37<0.00011.95–3.41
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Language:
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Journal Subjects:
Medicine, Assistive Professions, Nursing, Basic Medical Science, other, Clinical Medicine