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Erschienen in: BMC Public Health 1/2014

Open Access 01.12.2014 | Research article

Gender-specific differences in risk for intimate partner violence in South Korea

verfasst von: Minjee Lee, Katherine M Stefani, Eun-Cheol Park

Erschienen in: BMC Public Health | Ausgabe 1/2014

Abstract

Background

Various risk factors of intimate partner violence (IPV) have been found to vary by gender. South Korea has one of the highest prevalences of IPV in the world; however, little is known about potential risk factors of IPV and whether gender influences this relationship.

Methods

Using data from the 2006 Korea Welfare Panel Study, 8,877 married participants (4,545 men and 4,332 women) aged ≥30 years were included. Reported IPV was categorized as verbal or physical IPV and the association between IPV and related factors was assessed by multivariate logistic regression analysis.

Results

Women were significantly more likely than men were to report IPV victimization (verbal 28.2% vs. 24.4%; physical 6.9% vs. 3.4%). Wor odds of physical perpetration than women satisfied with their family. Moreover, alcohol intake was significantly associated with IPV perpetration and victimization in both genders.

Conclusion

Significant gender-specific differences were found among factors related to perpetrating violence and being a victim of violence among adults in heterosexual relationships in South Korea.
Hinweise

Competing interests

The authors have no conflicts of interest to disclose.

Authors’ contributions

ML developed the research question and performed the analysis, ML and KMS drafted the manuscript and interpreted the data, ML and ECP participated in the design and planning of the study and ECP is guarantor. All authors have read and approved the final manuscript.
Abkürzungen
IPV
Intimate partner violence.

Background

Intimate partner violence (IPV) is a worldwide public health problem as well as a serious social problem in South Korea [13]. IPV is characterized as any behavior within an intimate relationship that causes physical, psychological, or sexual harm of one partner to another [1]. According to the 2010 national survey in South Korea, the prevalence of reported IPV was 53.8%, and 81.9% of this violence was perpetrated by husbands against their wives [4].
IPV causes a wide range of negative effects on the health of women [57] and children, such as injury, chronic pain, gastrointestinal problems, sexually transmitted diseases, depression, and post-traumatic stress disorder [810]. In addition, a significant number of deaths among women are considered to result from IPV [11, 12]. Moreover, children who witness IPV in their home are also significantly more likely to experience or perpetrate IPV than are children who do not [13].
The prevalence of reported partner violence varies greatly (15%-71%) among various countries [1, 14, 15]. In South Korea, the special law to Prevent Family Violence and Protect the Victim mandates that Korean nationals be surveyed triennially. According to this survey, the prevalence of reported IPV dropped from 53.8% in 2010 to 45.5% in 2013 [16].
IPV typically results due to gender inequality and is frequently considered a form of gender-based violence [1]. Violence against women has been the focus of most research, yet little is known about the prevalence of violence perpetrated against men who are in a heterosexual relationship [17, 18]. Some studies have found the prevalence of violence against men to be equivalent to that against women [18, 19]. Similarly, in South Korea, previous research has highlighted the scope and risk factors of violence against women; however, few studies have investigated the prevalence of violence against men or the possible risk factors associated with male perpetration and victimization [20, 21].
Factors associated with IPV victimization among women include pregnancy, depressive symptoms, smoking, alcohol consumption, low socioeconomic status, experiencing IPV during childhood, and witnessing IPV perpetration against their mother [2228]. Tumwesigye and colleagues [27] investigated IPV victimization among women in Uganda and found socioeconomic status including education, employment status, income, and education level as well as the employment status of the partner to be potential risk factors. Furthermore, Lemon and colleagues [28] reported that current smoking and frequent alcohol use are related to IPV victimization among women living in the US (Rhode Island). Although few studies have examined IPV victimization among men, alcohol consumption, low socioeconomic status, experiencing IPV during childhood, and witnessing IPV perpetration against their mother were factors associated with IPV perpetration [2933]. In addition, a study that compared both men and women found alcohol dependency to be associated with severe physical IPV perpetration in the New Zealand Birth Cohort [33].
In addition, lacking a social network, emotional support, and having low perceived life satisfaction were found to be related with IPV among men and women [2, 3337]. For example, South Korean women with poor social/support networks were more likely to experience IPV victimization [2, 35, 36] as well as continued abuse [37]. Among Chinese men and women, life dissatisfaction was related with IPV victimization [34]. Furthermore, a weak social support system was strongly associated with physical IPV victimization among women in New Zealand [33].
Although the aforementioned studies identified some factors associated with IPV, the limited sample size, lack of gender-specific analyses, and a lack of consideration for IPV perpetration among women and IPV victimization among men warrant further study. Furthermore, previous research has not considered factors related to each type of IPV (verbal and physical). To this end, we investigated whether gender-specific differences exist in the prevalence of IPV as well as the type of the violence that was perpetrated or experienced.

Methods

Data and sample

Data from the nationally representative 2006 Korea Welfare Panel Study (KOWEPS) performed by the Korean Institute of Social and Health Affairs in conjunction with Social Welfare Research Institute of Seoul National University were used for this study. Details of this study have been published elsewhere [38, 39]. Briefly, KOWEPS is a comprehensive dataset that provides a variety of information on families and individuals with respect to their social service needs, heath care utilization patterns, economic and demographic background, sources of income, and subjective emotional and behavioral health status. A stratified, multistage, probability design was used. Men and women older than 19 were selected from sampling units using household registries. In total, 7,072 households participated in the survey. Trained interviewers conducted all surveys at participants’ homes, and all participants provided informed consent before participating in the survey.
In the 2006 dataset, 18,856 men and women were recruited. Of them, 16,084 (85.29%) men and women aged 19 or older participated in the survey. For our analyses, only those who were older than 30 years old and married were included leaving 9,667 men and women. The 16 participants who were younger than 30 and married were excluded from our analysis because, according to the National Statistical Office in South Korea, the average age of marriage among males and females was 32.1 was and 29.4 in 2012, respectively [40]. By limiting our analysis to those 30 and older, we hoped to include a more representative population of married couples. After exclusion for those missing any relevant data (n = 790), a total of 8,877 participants (4,545 men and 4,332 women) who reported being married at the time of the survey were included in the analysis.

Measurement of IPV

During data collection, participants were asked 13 questions pertaining to the level and type of violence experienced in their marriage over the past 12 months. Verbal IPV was assessed by asking how often in the past 12 months their spouse was (1) insulting, (2) made a malicious remark, or (3) threatened them. Physical IPV was assessed across ten violent activities. Respondents were asked how often in the past 12 months their spouse perpetrated the following physically violent activities at him/her: (1) threw something, (2) pushed, (3) slapped, (4) kicked or punched, (5) used an object to hit, (6) beat, (7) threatened using a weapon like a knife, (8) choked, (9) caused a sprain or bruise, or (10) caused him/her to be hospitalized after a violent encounter. These questions were adopted from the Conflict Tactics Scale [39]. In addition, participants were also asked how often they perpetrated any of these acts against their spouse, and their answers were recorded as never, 1–2 times, 3–5 times, 6–10 times, or >10 times throughout the previous 12 months. A person was considered to have experienced or perpetrated IPV if a violent event occurred once or more over the past 12 months, and this was recorded as the binary outcome variable (yes or no) in our analysis.

Independent variables

The statistical models used in this study were created based on variables reported in previous studies [15, 41]. Nine variables from three domains (related to socio-demographic factors, family/life satisfaction, and health behaviors) that have been robustly linked to IPV in epidemiological studies for IPV victimization among women and IPV perpetration among men were selected [27, 28, 42]. The socio-demographic factors include age, education, household income, employment status, and the perceived wealth during childhood. Participants’ subjective levels of satisfaction in either family relationships or one’s personal life was also measured along with health behaviors such as smoking and alcohol intake [27, 28, 42].
Participants were divided into five age groups, 30–39, 40–49, 50–59, 60–69, and ≥70 years, for the analysis. In addition, education level was stratified into three groups based on the highest level of education achieved as elementary school, middle or high school, or university or higher. Income was calculated according to the equivalized household income equation as the sum of the total household income from all sources including earned income, income from assets, and miscellaneous income divided by the square root of the number of household members. The equivalized income was then divided into quartiles [39]. Employment status was categorized as either being employed full time, part time, being self-employed, or unemployed. Participants’ perceived level of wealth during childhood was categorized as either poor, average or wealthy. The perceived level of satisfaction with family and life was recorded as not satisfied, neutral, or satisfied. Smoking was categorized as never or ever. Moreover, participants were divided into four groups based on the average number of drinks consumed at one time as a nondrinker, light drinker (1–4 drinks), moderate drinker (5–9 drinks), or heavy drinker (>10 drinks).

Statistical analysis

Descriptive statistics were used to describe participant characteristics and report the number and percentage of participants for each variable. In addition, the prevalence of IPV was calculated for all variables. Odds ratios (OR) with 95% confidence intervals (CI) were calculated to measure the strength of the association between IPV and all possible IPV-related factors in this study population. Multivariate logistic regression models, with IPV as the dependent variable, were used to calculate gender-specific ORs. Fully adjusted ORs were calculated after controlling for all potential confounders (age, education, household income, employment status, perceived wealth during childhood, satisfaction with family and life, smoking, and alcohol intake). Sampling weights were also added to aid in generalizing our findings to the entire population of South Korea. All statistical analyses were performed using SAS version 9.2 (SAS Inc., Cary, NC, USA), and a p-value >0.05 was considered statistically significant.

Results

Gender-specific data on the characteristics of the study population and the prevalence of IPV are shown in Tables 1 and 2, respectively.
Table 1
Descriptive data across the type of intimate partner violence among men
Variables
Total
%
Victim
Perpetrator
   
Verbal
%
p-value
Physical
%
p-value
Verbal
%
p-value
Physical
%
p-value
Age (years)
              
30-39
401
8.82
104
25.9
<.0001
26
6.5
<.0001
105
26.2
<.0001
37
9.2
<.0001
40-49
1103
24.27
322
29.2
 
69
6.3
 
317
28.7
 
77
7.0
 
50-59
955
21.01
254
26.6
 
35
3.7
 
267
28.0
 
54
5.7
 
60-69
750
16.5
159
21.2
 
12
1.6
 
176
23.5
 
28
3.7
 
70+
1336
29.39
269
20.1
 
13
1.0
 
286
21.4
 
35
2.6
 
Education
              
None or elementary school
1056
23.23
253
24.0
0.936
23
2.2
0.021
278
26.3
0.645
38
3.6
0.034
Middle or high school
2143
47.15
525
24.5
 
75
3.5
 
541
25.2
 
123
5.7
 
University or higher
1346
29.61
330
24.5
 
57
4.2
 
332
24.7
 
70
5.2
 
Household income
              
Quartile 1
1086
23.89
233
21.5
0.058
25
2.3
0.080
263
24.2
0.777
40
3.7
0.032
Quartile 2
1106
24.33
276
25.0
 
46
4.2
 
280
25.3
 
53
4.8
 
Quartile 3
1162
25.57
305
26.2
 
45
3.9
 
303
26.1
 
74
6.4
 
Quartile 4
1191
26.2
294
24.7
 
39
3.3
 
305
25.6
 
64
5.4
 
Employment status
              
Employed full time
2161
47.55
521
24.1
0.006
86
4.0
0.022
523
24.2
0.015
107
5.0
<.0001
Employed part time
989
21.76
276
27.9
 
36
3.6
 
288
29.1
 
77
7.8
 
Self employed
491
10.8
121
24.6
 
17
3.5
 
127
25.9
 
17
3.5
 
Unemployed
904
19.89
190
21.0
 
16
1.8
 
213
23.6
 
30
3.3
 
Perceived wealth in childhood
              
Poor
2146
47.22
520
24.2
0.843
67
3.1
0.319
559
26.0
0.431
110
5.1
0.920
Average
1878
41.32
465
24.8
 
73
3.9
 
470
25.0
 
93
5.0
 
Wealthy
521
11.46
123
23.6
 
15
2.9
 
122
23.4
 
28
5.4
 
Satisfaction with family relationships
              
Satisfied
3682
81.01
814
22.1
<.0001
107
2.9
<.0001
839
22.8
<.0001
148
4.0
<.0001
Neutral
732
16.11
238
32.5
 
30
4.1
 
253
34.6
 
62
8.5
 
Not satisfied
131
2.88
56
42.7
 
18
13.7
 
59
45.0
 
21
16.0
 
Satisfaction with one’s personal life
              
Satisfied
1668
36.7
332
19.9
<.0001
37
2.2
<.0001
339
20.3
<.0001
55
3.3
<.0001
Neutral
2167
47.68
547
25.2
 
71
3.3
 
575
26.5
 
114
5.3
 
Not satisfied
710
15.62
229
32.3
 
47
6.6
 
237
33.4
 
62
8.7
 
Smoking
              
Never
2351
51.73
512
21.8
<.0001
57
2.4
0.000
525
22.3
<.0001
91
3.9
0.000
Ever
2194
48.27
596
27.2
 
98
4.5
 
626
28.5
 
140
6.4
 
Alcohol intake
              
Nondrinker
1373
30.21
243
17.7
<.0001
25
1.8
<.0001
253
18.4
<.0001
42
3.1
<.0001
Light drinker (1-4 drinks)
1053
23.17
249
23.6
 
28
2.7
 
242
23.0
 
38
3.6
 
Moderate drinker (5-9 drinks)
1381
30.39
380
27.5
 
53
3.8
 
422
30.6
 
77
5.6
 
Heavy drinker (10 ≤ drinks)
738
16.24
236
32.0
 
49
6.6
 
234
31.7
 
74
10.0
 
Total
4545
100
1108
24.4
 
155
3.4
 
1151
25.3
 
231
5.1
 
Table 2
Descriptive data across the type of intimate partner violence among Women
Variables
Total
%
Victim
Perpetrator
   
verbal
%
p-value
physical
%
p-value
verbal
%
p-value
physical
%
p-value
Age (years)
              
30-39
658
15.19
176
26.7
0.001
65
9.9
<.0001
197
29.9
<.0001
42
6.4
<.0001
40-49
1175
27.12
372
31.7
 
96
8.2
 
363
30.9
 
61
5.2
 
50-59
877
20.24
269
30.7
 
71
8.1
 
244
27.8
 
25
2.9
 
60-69
762
17.59
194
25.5
 
39
5.1
 
174
22.8
 
11
1.4
 
70+
860
19.85
211
24.5
 
27
3.1
 
180
20.9
 
9
1.0
 
Education
              
None or elementary school
1400
32.32
404
28.9
0.448
78
5.6
0.061
358
25.6
0.185
21
1.5
<.0001
Middle or high school
2068
47.74
589
28.5
 
157
7.6
 
549
26.5
 
79
3.8
 
University or higher
864
19.94
229
26.5
 
63
7.3
 
251
29.1
 
48
5.6
 
Household income
              
Quartile 1
1038
23.96
300
28.9
0.766
59
5.7
0.239
273
26.3
0.932
22
2.1
0.027
Quartile 2
1055
24.35
306
29.0
 
74
7.0
 
288
27.3
 
36
3.4
 
Quartile 3
1098
25.35
304
27.7
 
87
7.9
 
297
27.0
 
39
3.6
 
Quartile 4
1141
26.34
312
27.3
 
78
6.8
 
300
26.3
 
51
4.5
 
Employment status
              
Employed full time
2094
48.34
582
27.8
0.072
161
7.7
<.0001
591
28.2
0.000
97
4.6
<.0001
Employed part time
875
20.2
277
31.7
 
75
8.6
 
263
30.1
 
28
3.2
 
Self employed
189
4.36
50
26.5
 
15
7.9
 
44
23.3
 
10
5.3
 
Unemployed
1174
27.1
313
26.7
 
47
4.0
 
260
22.1
 
13
1.1
 
Perceived wealth in childhood
              
Poor
1548
35.73
463
29.9
0.179
118
7.6
0.316
440
28.4
0.050
47
3.0
0.052
Average
2219
51.22
605
27.3
 
146
6.6
 
587
26.5
 
89
4.0
 
Wealthy
565
13.04
154
27.3
 
34
6.0
 
131
23.2
 
12
2.1
 
Satisfaction with family relationships
              
Satisfied
3396
78.39
841
24.8
<.0001
168
4.9
<.0001
811
23.9
<.0001
88
2.6
<.0001
Neutral
780
18.01
294
37.7
 
88
11.3
 
264
33.8
 
34
4.4
 
Not satisfied
156
3.6
87
55.8
 
42
26.9
 
83
53.2
 
26
16.7
 
Satisfaction with one’s personal life
              
Satisfied
1451
33.49
303
20.9
<.0001
58
4.0
<.0001
296
20.4
<.0001
37
2.5
0.000
Neutral
2216
51.15
654
29.5
 
154
6.9
 
596
26.9
 
71
3.2
 
Not satisfied
665
15.35
265
39.8
 
86
12.9
 
266
40.0
 
40
6.0
 
Smoking
              
Never
4254
98.2
1199
28.2
0.800
292
6.9
0.775
1134
26.7
0.416
141
3.3
0.006
Ever
78
1.8
23
29.5
 
6
7.7
 
24
30.8
 
7
9.0
 
Alcohol intake
              
Nondrinker
3026
69.85
778
25.7
<.0001
179
5.9
0.000
721
23.8
<.0001
81
2.7
<.0001
Light drinker (1-4 drinks)
1046
24.15
345
33.0
 
88
8.4
 
342
32.7
 
44
4.2
 
Moderate drinker (5-9 drinks)
213
4.92
81
38.0
 
24
11.3
 
75
35.2
 
17
8.0
 
Heavy drinker (10 ≤ drinks)
47
1.08
18
38.3
 
7
14.9
 
20
42.6
 
6
12.8
 
Total
4332
100
1222
28.2
 
298
6.9
 
1158
26.7
 
148
3.4
 
The majority of men reported working full time (47.6%), had at least a middle or high school education (47.2%), were non-smokers (51.7%), and moderate drinkers (30.4%). For men, the prevalence of verbal IPV was 24.4% for victimization and 25.3% for perpetration. The prevalence of physical IPV was 3.4% for victimization and 5.1% for perpetration (Table 1).
The majority of women in this study population were employed full time (48.3%) and had at least a middle or high school education (47.7%). In addition, most women were nonsmokers (98.2%) and nondrinkers (69.9%). For women, the prevalence of verbal IPV was 28.2% for victimization and 26.7% for perpetration. The prevalence of physical IPV was 6.9% for victimization and 3.4% for perpetration (Table 2). For both men and women, the prevalence of victimization and perpetration may be overlapped, thus should not be considered independent measures.
Women were significantly more likely than men were to report being a victim of IPV (verbal: 28.2% vs. 24.4% [p < .0001], physical: 6.9% vs. 3.4% [p < .0001]). In addition, women tended to perpetrate verbal violence against their spouse more often than men were (26.7% vs. 25.3%). However, 5.1% of men and 3.4% of women reported perpetrating physical violence against their spouse. A similar proportion of men and women reported male-to-female violence, yet more women than men reported female-to-male violence.
Among males, household income, perceived wealth during childhood, and smoking were not significantly associated with IPV victimization nor with IPV perpetration. Men with a middle or high school education were significantly less likely to report perpetrating verbal IPV than were men with only an elementary school education. In addition, men employed part time were significantly more likely to perpetrate physical IPV than men employed full time were. Moreover, having a high level of satisfaction with family relationships and one’s personal life made men less likely to perpetrate both verbal and physical IPV. Compared with men who were satisfied with their family relationships, the adjusted OR for men dissatisfied with their family relationships was 2.44 (95% CI: 1.66-3.58) for verbal IPV victimization, 5.49 (95% CI: 2.91-10.37) for physical IPV victimization, 2.54 (95% CI: 1.74-3.71) for verbal IPV perpetration, and 4.68 (95% CI: 2.66-8.27) for physical IPV perpetration. However, the adjusted OR among men who were dissatisfied with their personal life was 1.76 (95% CI: 1.39-2.22) for verbal IPV victimization, 3.07 (95% CI: 1.79-5.26) for physical IPV victimization, 1.69 (95% CI: 1.34-2.13) for verbal IPV perpetration, and 2.51 (95% CI: 1.60-3.95) for physical IPV perpetration when compared to men who were satisfied with their personal life. Among the measured health behaviors, men reporting high alcohol intake were more likely to have experienced verbal IPV victimization, physical IPV victimization, verbal IPV perpetration, and physical IPV perpetration. Compared with non-drinkers, the adjusted OR of heavy drinkers was 2.06 (95% CI: 1.65-2.58) for verbal IPV victimization, 2.54 (95% CI: 1.49-4.31) for physical IPV victimization, 2.00 (95% CI: 1.60-2.50) for verbal IPV perpetration, and 2.81 (95% CI: 1.84-4.30) for physical IPV perpetration (Table 3).
Table 3
Factors associated with intimate partner violence reported by men
Variables
Victimization
Perpetration
 
Verbal
Physical
Verbal
Physical
Age (years)
        
30-39
1.00
 
1.00
 
1.00
 
1.00
 
40-49
1.16
(0.89 - 1.51)
0.92
(0.57 - 1.50)
1.11
(0.85 - 1.45)
0.70
(0.45 - 1.07)
50-59
0.98
(0.74 - 1.30)
0.46
(0.26 - 0.81)
1.02
(0.77 - 1.35)
0.52
(0.32 - 0.83)
60-69
0.75
(0.55 - 1.03)
0.18
(0.08 - 0.39)
0.81
(0.60 - 1.11)
0.36
(0.20 - 0.64)
70+
0.74
(0.54 - 1.02)
0.08
(0.04 - 0.20)
0.73
(0.53 - 1.00)
0.27
(0.15 - 0.51)
Education
        
None or elementary school
1.00
 
1.00
 
1.00
 
1.00
 
Middle or high school
0.81
(0.66 - 1.01)
0.69
(0.38 - 1.26)
0.81
(0.66 - 1.00)
1.09
(0.69 - 1.71)
University or higher
0.82
(0.62 - 1.07)
0.74
(0.37 - 1.50)
0.83
(0.63 - 1.08)
0.97
(0.56 - 1.70)
Employment status
        
Employed full time
1.00
 
1.00
 
1.00
 
1.00
 
Employed part time
1.13
(0.94 - 1.36)
0.73
(0.48 - 1.13)
1.18
(0.98 - 1.42)
1.45
(1.05 - 2.02)
Self employed
1.13
(0.88 - 1.45)
1.22
(0.68 - 2.19)
1.16
(0.90 - 1.48)
0.83
(0.47 - 1.44)
Unemployed
0.93
(0.74 - 1.17)
0.82
(0.44 - 1.54)
1.02
(0.82 - 1.28)
0.99
(0.61 - 1.60)
Satisfaction with family relationships
        
Satisfied
1.00
 
1.00
 
1.00
 
1.00
 
Neutral
1.68
(1.39 - 2.02)
1.58
(1.01 - 2.47)
1.73
(1.43 - 2.08)
2.38
(1.70 - 3.35)
Not satisfied
2.44
(1.66 - 3.58)
5.49
(2.91 - 10.37)
2.54
(1.74 - 3.71)
4.68
(2.66 - 8.27)
Satisfaction with one’s personal life
        
Satisfied
1.00
 
1.00
 
1.00
 
1.00
 
Neutral
1.30
(1.10 - 1.54)
1.62
(1.05 - 2.51)
1.31
(1.11 - 1.55)
1.55
(1.08 - 2.21)
Not satisfied
1.76
(1.39 - 2.22)
3.07
(1.79 - 5.26)
1.69
(1.34 - 2.13)
2.51
(1.60 - 3.95)
Alcohol intake
        
Nondrinker
1.00
 
1.00
 
1.00
 
1.00
 
Light drinker (1-4 drinks)
1.50
(1.22 - 1.83)
1.46
(0.84 - 2.57)
1.36
(1.11 - 1.67)
1.17
(0.74 - 1.84)
Moderate drinker (5-9 drinks)
1.71
(1.40 - 2.08)
1.62
(0.97 - 2.70)
1.92
(1.58 - 2.33)
1.58
(1.05 - 2.38)
Heavy drinker (10 ≤ drinks)
2.06
(1.65 - 2.58)
2.54
(1.49 - 4.31)
2.00
(1.60 - 2.50)
2.81
(1.84 - 4.30)
Results are presented as adjusted odds ratios and (95% confidence intervals), and adjusted for age, education, household income, employment status, perceived wealth during childhood, satisfaction with family relationships, satisfaction with one’s personal life, smoking, and alcohol intake.
Among women, age was significantly associated with all types of IPV, but household income, employment status, perceived wealth during childhood, and smoking were not. In addition, women with at least a middle or high school education were significantly less likely to report verbal IPV victimization and physical IPV perpetration than women with less education were. Similar to men, increased alcohol intake was associated with an increased odds of verbal and physical IPV perpetration. However, unlike men, alcohol drinking was not significantly associated with physical IPV victimization. Compared with non-drinkers, the adjusted ORs of moderate drinkers for verbal IPV victimization, verbal IPV perpetration, and physical IPV perpetration were 1.68 (95% CI: 1.24-2.27), 1.53 (95% CI: 1.13-2.08), and 2.15 (95% CI: 1.21-3.83), respectively. Moreover, women with a high level of family and life satisfaction were less likely to report verbal IPV victimization, physical IPV victimization, verbal IPV perpetration, and physical IPV perpetration; these findings are similar to that among men. Compared with women who were satisfied with their family relationships, the adjusted ORs among women dissatisfied with their relationships were 3.17 (95% CI: 2.23-4.52) for verbal IPV victimization, 6.68 (95% CI: 4.23-10.56) for physical IPV victimization, 2.78 (95% CI: 1.95-3.96) for verbal IPV perpetration, and 9.46 (95% CI: 5.21-17.19) for physical IPV perpetration. Moreover, the adjusted ORs among women dissatisfied with their personal life was 1.96 (95% CI: 1.55-2.49) for verbal IPV victimization, 2.52 (95% CI: 1.64-3.89) for physical IPV victimization, 2.36 (95% CI: 1.85-3.00) for verbal IPV perpetration, and 2.23 (95% CI: 1.22-4.08) for physical IPV perpetration when compared to women who reported being satisfied with their personal life (Table 4).
Table 4
Factors associated with intimate partner violence reported by women
Variables
Victimization
Perpetration
 
Verbal
Physical
Verbal
Physical
Age (years)
        
30-39
1.00
 
1.00
 
1.00
 
1.00
 
40-49
1.23
(0.99 - 1.54)
0.75
(0.53 - 1.07)
1.04
(0.84 - 1.30)
0.79
(0.52 - 1.22)
50-59
1.06
(0.82 - 1.36)
0.63
(0.42 - 0.96)
0.86
(0.66 - 1.10)
0.43
(0.24 - 0.77)
60-69
0.69
(0.51 - 0.93)
0.31
(0.18 - 0.52)
0.57
(0.42 - 0.78)
0.22
(0.09 - 0.50)
70+
0.53
(0.38 - 0.75)
0.15
(0.08 - 0.28)
0.43
(0.30 - 0.61)
0.14
(0.05 - 0.39)
Education
        
None or elementary school
1.00
 
1.00
 
1.00
 
1.00
 
Middle or high school
0.77
(0.61 - 0.96)
0.70
(0.46 - 1.07)
0.73
(0.57 - 0.92)
1.07
(0.53 - 2.17)
University or higher
0.76
(0.56 - 1.02)
0.67
(0.39 - 1.13)
0.87
(0.64 - 1.17)
1.38
(0.62 - 3.11)
Satisfaction with family relationships
        
Satisfied
1.00
 
1.00
 
1.00
 
1.00
 
Neutral
1.66
(1.39 - 1.99)
2.43
(1.80 - 3.28)
1.48
(1.23 - 1.78)
1.94
(1.24 - 3.04)
Not satisfied
3.17
(2.23 - 4.52)
6.68
(4.23 - 10.56)
2.78
(1.95 - 3.96)
9.46
(5.21 - 17.19)
Satisfaction with one’s personal life
        
Satisfied
1.00
 
1.00
 
1.00
 
1.00
 
Neutral
1.48
(1.25 - 1.76)
1.63
(1.16 - 2.29)
1.45
(1.22 - 1.73)
1.45
(0.92 - 2.27)
Not satisfied
1.96
(1.55 - 2.49)
2.52
(1.64 - 3.89)
2.36
(1.85 - 3.00)
2.23
(1.22 - 4.08)
Alcohol intake
        
Nondrinker
1.00
 
1.00
 
1.00
 
1.00
 
Light drinker (1-4 drinks)
1.38
(1.17 - 1.62)
1.21
(0.91 - 1.61)
1.45
(1.23 - 1.70)
1.13
(0.76 - 1.67)
Moderate drinker (5-9 drinks)
1.68
(1.24 - 2.27)
1.58
(0.98 - 2.53)
1.53
(1.13 - 2.08)
2.15
(1.21 - 3.83)
Heavy drinker (10 ≤ drinks)
1.47
(0.80 - 2.70)
1.78
(0.75 - 4.18)
1.83
(1.00 - 3.35)
3.18
(1.23 - 8.20)
Results are presented as adjusted odds ratios and (95% confidence intervals), and adjusted for age, education, household income, employment status, perceived wealth during childhood, satisfaction with family relationships, satisfaction with one’s personal life, smoking, and alcohol intake.

Discussion

In this nationally representative population of Korean men and women, significant gender-specific differences were evident for the prevalence of IPV and its associated factors. Factors significantly associated with an increased likelihood of IPV victimization and perpetration among men and women were the subjective measures of family and personal life satisfaction as well as alcohol intake. In addition, the prevalence of IPV victimization was significantly higher among women than among men.
Although gender-specific data on IPV are limited, our findings are consistent with estimates gathered from previous studies with smaller samples of South Korean adults and population-based studies conducted in other Asian countries [20, 4245], which found higher exposures to IPV among women than men.
Investigation into the physical perpetration of IPV revealed that males had slightly higher rates of perpetration than that of females (males, 5.1% vs. females, 3.4%). In addition, women reported a lower rate of experiencing male perpetration than that of experiencing victimization. However, the rate of female perpetration was roughly aligned with the rate of victimization that was reported by men. One interpretation for this discrepancy may be that men underreported IPV perpetration due to a social desirability bias. Similar disparities in reporting have been found in studies conducted in other countries [46].
The majority of research surrounding IPV has addressed violence against women, examining prevalence estimates of female victimization and male perpetration. In the current study, rates of verbal IPV victimization among females (28.2%) fell within the range of previous estimates (24.6%-55.0%) [47, 48], although male rates of verbal perpetration (25.3%) were slightly lower than previous estimates (31.8%-42.3%) [49, 50]. However, limitations between survey methods make comparing our results with previous studies difficult; inconsistencies in defining violence and variations in survey periods may have created discrepancies between these estimates.
Among men, low education level was positively associated with perpetrating verbal violence; however, among women, low education level was positively associated with both victimizing and perpetrating verbal IPV. Previous studies have reported similar associations and have strongly suggested that future violence prevention programs should aim to increase levels of education and understanding about IPV [47].
Our results also confirm the finding of other studies that IPV victimization and perpetration are likely to occur regardless of one’s drinking habits [46, 47]. However, we cannot determine whether alcohol is a risk factor of or a result of IPV due to the cross-sectional design of our study. Nevertheless, our findings support previous assertions that alcohol interventions may be a crucial component of future violence prevention programs [19, 51, 52].
Our study has important limitations. First, the prevalence of IPV was measured over the previous 12 months; therefore, these data may have underestimated the actual prevalence of IPV in this study population. Second, the KOWEPS dataset did not measure experiences with IPV during childhood such as any exposures to domestic violence or witnessing IPV perpetration among their parents. Third, the KOWEPS dataset did not ask participants who were married whether they live with their spouse. We cannot assume that all married couples live with their spouse and this factor may influence the prevalence of IPV; therefore, future studies should investigate whether this factor is associated with IPV. Fourth, IPV related to sexual abuse was not included in the KOWEPS survey. Last, the confidence intervals estimated in our analyses were wide; therefore, future prospective studies with large sample sizes are needed to better understand these relationships.
In this nationally representative study, we found that the prevalence of IPV and its associated factors were gender specific. In particular, alcohol intake, family, and life satisfaction were strongly associated with both verbal and physical IPV among men and women. In addition, the prevalence of IPV victimization was significantly higher among women than among men. Moreover, older men who were dissatisfied with their family and personal life as well as heavy drinkers were more likely to be victims of physical IPV than their counterparts were. Furthermore, older women who were dissatisfied with their family and personal life as well as heavy drinkers were more likely to perpetrate physical IPV than their counterparts were. Large, prospective studies are needed to understand the etiology of these factors for the proper implementation of preventative measures to reduce IPV in South Korea.

Conclusions

Worldwide, gender differences in IPV have been reported and, among those countries, South Korea has one of the highest prevalences of IPV. However, the factors related to IPV in Korean adults are unknown.
We found significant gender-specific differences among the factors related to IPV. In addition, the prevalences for each the type of violence perpetrated and victimized varied significantly by gender.
This is the first study to utilize nationally representative data to investigate the prevalence and risk factors of IPV in South Korea. This study measured IPV as a self-reported experience over the previous 12 months, yet further data such as sexual IPV and violence during childhood were not collected; therefore, further studies are needed.
Open Access This article is published under license to BioMed Central Ltd. This is an Open Access article is distributed under the terms of the Creative Commons Attribution License ( https://​creativecommons.​org/​licenses/​by/​2.​0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver ( https://​creativecommons.​org/​publicdomain/​zero/​1.​0/​ ) applies to the data made available in this article, unless otherwise stated.

Competing interests

The authors have no conflicts of interest to disclose.

Authors’ contributions

ML developed the research question and performed the analysis, ML and KMS drafted the manuscript and interpreted the data, ML and ECP participated in the design and planning of the study and ECP is guarantor. All authors have read and approved the final manuscript.
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Metadaten
Titel
Gender-specific differences in risk for intimate partner violence in South Korea
verfasst von
Minjee Lee
Katherine M Stefani
Eun-Cheol Park
Publikationsdatum
01.12.2014
Verlag
BioMed Central
Erschienen in
BMC Public Health / Ausgabe 1/2014
Elektronische ISSN: 1471-2458
DOI
https://doi.org/10.1186/1471-2458-14-415

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