Factors associated with severity of intimate partner abuse in Mexico: results of the first National Survey of Violence Against Women.
Avila-Burgos, Leticia ; Valdez-Santiago, Rosario ; Hijar, Martha 等
Various studies conducted in Mexico in different populations
estimate that 15% to 71% of women have been physically or sexually
assaulted by an intimate partner during their lifetime. (1) Current
intimate partner abuse (IPA) among women attending Mexican public
clinics or hospitals is estimated to range from 6% to 32%. (2-5)
Variability in the prevalence of IPA in Mexico appears to depend on the
measuring scale used, as well as the definition of IPA and the cultural
context.
A small number of studies (none of them done in Mexico) have
estimated that the greater the severity of IPA, the greater the risk of
severe injuries, emotional distress, mental disorders or permanent
disabilities. (6,7)
IPA is defined in this study as a "repetitive pattern of abuse
inflicted by the woman's male partner. Abuse is characterized by a
series of coercive behaviours that include physical, emotional, economic
or sexual violence." (8)
The main objective of the study was to identify factors associated
with the severity of IPA among women who had sustained an intimate
relationship during the previous 12 months, had for any reason attended
a public health care facility and who had participated in the National
Survey of Violence Against Women (ENVIM) 2003. (8)
METHODS
The ENVIM-2003 surveyed a representative national and state sample
of users of public health care services in Mexico during November 2002
to November 2003. Institutions from Social Security and the Ministry of
Health were included, (8) since they provide medical coverage to 70% of
the Mexican population. (9) Additionally, these institutions had a
sample frame of their medical units and made major provisions to
facilitate our access.
Selection of subjects
A stratified probabilistic sampling was carried out in two stages.
In the first stage, clinics and hospitals located throughout the country
were selected with a proportional probability to the number of units per
type of institution. In the second stage, all women over age 14,
recipients of preventive or curative services at those medical units,
were selected by systematic sampling. The cutoff age of 14 years was
selected because, in Mexico, women are susceptible to intimate
relationships at an early age. The sample size was calculated to obtain
a minimum prevalence of 19% in each of the 32 States; more details are
described in a previous publication. (2) The survey included 26,042
women. (2)
The information was collected by trained female interviewers, and
interviews were held in private rooms. The response rate was 98%,
similar to rates reported by other studies on violence in Mexico.
(10,11) Approval for this project was granted by the National Institute
of Public Health's Ethics Committee.
The ENVIM-2003 questionnaire* has 17 sections, including
sociodemographic questions on both the interviewee and her partner,
frequency of alcohol consumption, perception of gender roles, the family
and characterization of partner abuse.
Measures
Severity of Partner Abuse
A 27-item scale was selected from two instruments that have shown
sensitivity in measuring partner abuse: the Index of Spouse Abuse (12)
and the Severity of Violence Against Women Scale. (13) The items are
shown in Appendix 1. For modeling purposes, the number of variables was
reduced to a small number of factors; therefore, factor analysis was
used. Four factors were obtained, which together explained 62% of the
variance. To determine confidence, Cronbach's alpha was calculated
to be 0.99. With the linear combination of these factors, a Severe
Intimate Partner Abuse Index (SIPAI) was constructed. The cutting points
were as follows: scores under the mean indicated no violence; from the
mean up to the mean plus one standard deviation non-severe violence; and
the mean plus values over one standard deviation indicated cases of
severe violence (for a more detailed description of the methodology, see
Valdez et al. (14)). The frequency of violent acts during the previous
year was recorded on a 4-point scale for each item (0=never, 1=once,
2=occasionally and 3=many times). These instruments have been used
previously and validated with the Mexican population. (15)
Individual Variables
For both subject and partner, variables included were: age; years
of schooling; monthly income, expressed as a multiple of the minimum
wage (during 2003 the minimum wage was the equivalent of C$5.01 daily
(16,17)); and number of children in the household under 18 years of age.
These variables were measured on a continuous scale. Also included were
work activity during the week before the interview and frequency of
alcohol consumption. Additionally, subjects' information regarding
marital status and history of childhood abuse was collected. All these
variables were measured on a categorical scale.
"Partner" was defined as the last spouse or intimate
partner with whom the subject had lived during the year preceding the
survey. (2) Partner information was reported by the women.
Socio-economic Indicators
Using principal component analysis, the Household Assets Index was
generated, which is a proxy variable for economic status in the home.
This index is based on house ownership, number of electrical appliances
and possession of a car or truck. Crowded living conditions (a mean of
2.5 residents or more per bedroom) was included as a dichotomous
variable. The index was categorized by terciles corresponding to social
levels or stratum: low, medium and high.
Statistical analysis
This model included 77% (n=14,503) of subjects who had had an
intimate partner during the previous year and had provided complete
information. The dependent variable was the SIPAI, which had three
categories ordered as 0=no violence, 1=non-severe violence and 2=severe
violence. The ordinal logistic regression model (Model 1) was used
initially but rejected later because it did not comply with the
model's central supposition test (test of parallel lines); (16) the
multinomial logistic regression model (Model 2) was used instead. Model
2 assumes that the dependent variable has more than two non-ordered
categories. Subjects who were exposed to severe partner violence and
those who reported non-severe violence were compared with those who did
not report violence.
Variables that showed a value of p<0.20 (18) in the bivariate
analysis were tested in the multivariate model as confounders and effect
modifiers and were kept if p<0.05.18 The model's global
adjustment was verified with Pearson's goodness-of-fit test and was
considered to have adequate adjustment with a value of p>0.10.18 In
both bivariate and multivariate analysis, the confidence intervals were
calculated with a robust standard error. (19) Continuous variables were
evaluated by observing whether the change in the logit of the dependent
variable had the same magnitude when there were increases of one unit in
the independent variable (Box-Tidwell test). (18,20) Since this test was
rejected, these variables became categories when they were incorporated
in the model.
Differences among variable categories were evaluated to determine
statistical differences. Thus, when the statistics showed no differences
(lincom test p>0.10),18 the categories were collapsed. The
statistical packages used were Stata version 8.2 (Stata Corp., College
Station, TX) and SPSS version 10 (SPSS, Chicago, IL).
RESULTS
Women's socio-demographic characteristics
This study included 18,902 women. The mean subject age was 35.3 [+
or -] 12 years. About 8.6% had not attended school, 69.1% had had
schooling at the elementary and junior high levels. Housewives
constituted 51% of the sample; 87.7% of the subjects lived in urban
areas, and 74% of all participants had no salary. Almost 96% did not
drink alcohol or did so occasionally (Table 1).
Partners' characteristics
Intimate partner's mean age was 38.9 [+ or -] 13 years; 7.6%
had not attended school, and 62.8% had completed elementary and junior
high school. Most of the partners (59%) were employees or factory
workers. Women reported that 18.3% of their partners drank alcohol more
than once a week (Table 2).
Women's history of violence during childhood
Almost 22% of subjects indicated that their parents or relatives
had humiliated or insulted them, and 43.2% of these also reported
physical abuse. Around 25% reported that the blows and humiliations were
infrequent, 9.7% said this occurred several times, and 9% reported
physical strikes and humiliations happening almost all the time.
Severity of intimate partner abuse
Using the SIPAI, we found that 72.6% reported no abuse, 18.1% had
experienced non-severe abuse, and 9.3% had been victims of severe
partner abuse during the previous 12 months.
Table 2 presents the unadjusted models. The women's variables
associated with partner abuse corresponded mostly to being under 55
years of age, having a lower level of education, a higher frequency of
alcohol consumption, working out of the home and having a history of
childhood abuse. The partner's characteristics relating to severity
of abuse were lower education, lower income and greater frequency of
alcohol consumption. Other variables associated were the Index of
Household Assets and the (greater) number of children in the household.
Multivariate model of severity of intimate partner abuse
Table 3 presents the final multivariate model which shows that age
was only significantly related to violence when violence was severe. The
age group 25 to 34 showed the highest risk of severe violence (OR 1.53,
95% CI 1.17-1.99). A woman's lack of education was associated with
the possibility of being abused; this risk was 51% for severe (OR 1.51,
95% CI 1.00-2.30) and 35% (OR 1.35, 95% CI 1.161.56) for non-severe
violence.
Women working out of the home had a 30% greater possibility of
being the victims of severe violence (OR 1.3, 95% CI 0.99-1.72). Two or
more children increased the possibility of severe violence by 44% (OR
1.44, 95% CI 1.18-1.77), and for non-severe violence the possibility was
20%. In all cases, the category of comparison was homes with no
children.
When women's reported alcohol consumption was in excess of
once a month, the possibility of severe violence increased 2.5 times (OR
2.51, 95% CI 1.62-3.90) and of non-severe violence by 60%, compared with
those who abstained.
A history of childhood abuse was more strongly associated with
severe violence. The possibility of experiencing severe partner abuse
more than tripled among women who reported exposure to abuse as occuring
several times and almost all the time during their childhood (OR 3.7,
95% CI 3.03-4.52); this association more than doubled (OR2.19, 95% CI
2.07-2.31) when the violence was not severe.
With respect to the partner's variables, the most important
predictor of the severity of violence was the frequency of the
man's alcohol consumption. Adjusting for the other variables,
partners who consumed alcohol almost every day had an over 14 times
higher possibility (OR 14.77, 95% CI 13.25-16.46) of being severe
aggressors. A clear gradient was observed: as frequency of alcohol
consumption decreased, so did the probability of being an aggressor.
Other variables associated with severity of IPA were lower education and
income. Therefore, less education and lower income had a higher
association with non-severe violence, at 54% and 29%, respectively.
DISCUSSION
Among the study's most relevant aspects was the creation of
the SIPAI index, which allows analysis of the results on the basis of
the severity of IPA. With it, factors associated not only with violence
but also with the severity of the violence can be identified. In this
context, it is important to reconsider those factors associated with
severe partner abuse: women of reproductive age, women with a history of
childhood violence, and frequent alcohol consumption by both partners.
The variable "man's frequency of alcohol consumption"
should be highlighted, since it was the most important factor associated
with severe partner violence. The association between violence and
alcohol intake has been broadly studied, (21-23) and in spite of
existing controversies regarding the way in which frequency and
excessive alcohol consumption may trigger violent episodes, it is true
that greater alcohol consumption in abusive men increases their risk of
becoming more violent.
The association between history of abuse during childhood and abuse
from the partner is sufficiently documented. In a broad review of the
literature, Black et al. (24) described how a history of violence in the
family of origin, in men as well as women, can be conducive to increased
violence in couples.
Women with low education and low socio-economic status were at
greater risk of suffering violence; these findings agree with other
studies reporting that women who live in situations of poverty are the
most vulnerable. (25)
Of special interest is the greater risk of exposure to IPV in women
working out of the home. Several authors report that the effect of this
variable on IPA will depend upon the socio-cultural context. (26,27)
Therefore, in the context of a very rigid gender role, perception of a
salary by a woman constitutes a risk factor for increased violence. (26)
The finding suggests the need for a more detailed study of this
relation.
Undoubtedly, one contribution of the SIPAI is the possibility of
identifying differentiated risks for severe and non-severe violence
among women according to their characteristics, those of their partners
and of their environment. Identifying victims of violence in conjunction
with the severity of the violence can be useful in designing violence
prevention programs and health care models. (28,29)
Finally, this study has some important limitations that should be
taken into account when interpreting the data: on 23% of subjects
(n=4,445) there were incomplete data and the women were not included in
the analysis; they were significantly older, had lower education, higher
alcohol consumption, worked out of the home, and were exposed to a high
degree of childhood abuse. We can infer that these subjects were at
higher risk of IPA, which suggests that our reported findings are
somewhat conservative.
In this study, only recipients of public health services were
included, for which we may expect biases. Women in extreme poverty face
more barriers to access health services in general, (30) and those with
higher income are less interested in using public medical services; (30)
for these reasons, these groups are under-represented.
The study was cross-sectional, which presents a problem of temporal
ambiguity; for this reason, only statistical associations may be
established and not causality.
It is important to further explore factors linked to the severity
of partner abuse, not only in Mexico but elsewhere. Enhanced knowledge
about this topic would help identify individuals whose physical and
emotional integrity are at greater risk of suffering irreversible injury
and would allow the government to focus resources and actions on this
vulnerable sector of the population.
Appendix 1. Factorial Matrix of the Violence Index with
Varimax Rotation
Factor I Factor II
Psychological Physical
Violence Violence
1. Has he insulted you? 0.791 0.247
2. Has he belittled or berated you? 0.787 0.200
3. Does he berate or humiliate you
in front of other people? 0.782 0.195
4. Has he said things to you as if
you are unattractive or ugly? 0.692 0.165
5. Has he become jealous or
suspicious of your friendships? 0.682 0.150
6. Has he hit or kicked the wall or
any other piece of furniture? * 0.583 0.461
7. Has he threatened to hit you? * 0.568 0.543
8. Has he destroyed any of your
belongings? * 0.532 0.506
9. Has he made you feel afraid of
him? * 0.520 0.490
10. Has he hit you with his hand
or fist? 0.310 0.731
11. Has he shaken or pushed you? 0.371 0.721
12. Has he twisted your arm? 0.212 0.693
13. Has he kicked you? 0.181 0.690
14. Has he pushed you on purpose? 0.363 0.669
15. Has he hit you with any kind of
stick or belt or any domestic
object? * 0.096 0.515
16. Has he threatened to kill you,
himself or the children? * 0.394 0.432
17. Has he shot you with a gun or
rifle? 0.053 0.007
18. Has he attacked you with a
razor, knife or machete? 0.034 0.209
19. Has he burned you with a
cigarette or any other
substance? 0.007 0.096
20. Has he threatened you with any
kind of gun or rifle? 0.303 0.161
21. Has he threatened you with any
kind of razor, knife or machete? 0.276 0.359
22. Has he tried to choke or
suffocate you? 0.068 0.340
23. Has he demanded that you have
sexual relations with him? 0.288 0.283
24. Has he used physical force to
have sexual relations with you? 0.202 0.333
25. Has he threatened to go out with
other women if you do not
consent to having sexual
relations with him? 0.356 0.248
26. Has he controlled you by not
giving you money or by taking
it away from you? * 0.356 0.248
27. Has he taken away or made use
of your belongings against your
will? * 0.372 0.214
% of variance explained 19.46% 17.73%
Factor III Factor IV
Severe Sexual/
Physical economic
Violence Violence
1. Has he insulted you? 0.061 0.218
2. Has he belittled or berated you? 0.090 0.226
3. Does he berate or humiliate you
in front of other people? 0.105 0.223
4. Has he said things to you as if
you are unattractive or ugly? 0.150 0.224
5. Has he become jealous or
suspicious of your friendships? 0.060 0.205
6. Has he hit or kicked the wall or
any other piece of furniture? * 0.132 0.111
7. Has he threatened to hit you? * 0.140 0.230
8. Has he destroyed any of your
belongings? * 0.198 0.122
9. Has he made you feel afraid of
him? * 0.147 0.267
10. Has he hit you with his hand
or fist? 0.153 0.327
11. Has he shaken or pushed you? 0.110 0.297
12. Has he twisted your arm? 0.232 0.235
13. Has he kicked you? 0.285 0.305
14. Has he pushed you on purpose? 0.145 0.248
15. Has he hit you with any kind of
stick or belt or any domestic
object? * 0.438 0.289
16. Has he threatened to kill you,
himself or the children? * 0.336 0.186
17. Has he shot you with a gun or
rifle? 0.810 0.140
18. Has he attacked you with a
razor, knife or machete? 0.738 0.176
19. Has he burned you with a
cigarette or any other
substance? 0.727 0.217
20. Has he threatened you with any
kind of gun or rifle? 0.632 -0.110
21. Has he threatened you with any
kind of razor, knife or machete? 0.598 -0.004
22. Has he tried to choke or
suffocate you? 0.535 0.351
23. Has he demanded that you have
sexual relations with him? 0.112 0.723
24. Has he used physical force to
have sexual relations with you? 0.183 0.688
25. Has he threatened to go out with
other women if you do not
consent to having sexual
relations with him? 0.101 0.665
26. Has he controlled you by not
giving you money or by taking
it away from you? * 0.101 0.581
27. Has he taken away or made use
of your belongings against your
will? * 0.142 0.550
% of variance explained 13.22% 11.95%
* These items were not included in the Index.
Acknowledgments: Our gratitude goes to all the women interviewed
for their participation in this study. As well, we acknowledge the
financial support provided by the National Center of Gender Equity and
Reproductive Health, which made it possible to carry out ENVIM 2003.
Received: April 3, 2009
Accepted: August 15, 2009
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* Copies of the questionnaire can be obtained by contacting Rosario
Valdez: rvaldez@insp.mx.
Leticia Avila-Burgos, PhD, [1] Rosario Valdez-Santiago, MSc, [1]
Martha Hijar, PhD, [1] Aurora del Rio-Zolezzi, MSc, [2] Rosalba
Rojas-Martinez, PhD, [1] Carlo E. Medina-Solis, MSc [3]
Author Affiliations
[1.] National Institute of Public Health, Cuernavaca, Morelos,
Mexico
[2.] National Centre for Gender Equity and Reproductive Health,
Ministry of Health, Mexico, DF, Mexico
[3.] Institute of Health Sciences at Autonomous University of
Hidalgo State, Pachuca, Hidalgo, Mexico
Correspondence and reprint requests: Rosario Valdez-Santiago or
Leticia Avila, Centre for Health Systems Research, National Institute of
Public Health, Av. Universidad 655, Col. Santa Maria Ahuacatitlan, C.P.
62508, Cuernavaca, Morelos, Mexico, E-mail: rvaldez@insp.mx or
lavila@insp.mx.
Table 1. Demographic Characteristics of 18,902 Female
Participants and Their Partners, Mexico
Variable Frequency %
Age (years)
15-24 3789 20.0
25-34 6375 33.7
35-44 4642 24.6
45-54 2590 13.7
[greater than or equal to] 55 1506 8.0
Education
No education 1624 8.6
Elementary and junior high school 13,055 69.1
High school and more 4223 22.3
Work activity *
Student 92 0.5
Unpaid worker 233 1.2
Housewife 9715 51.4
Unemployed 3568 19.0
Fieldworker 112 0.6
Self-employed 1490 7.9
Employee 3639 19.3
Income (multiple of minimum monthly
salary) ([dagger])
No salary 13,994 74.0
Up to two salaries 2870 15.2
3-4 salaries 1254 6.6
4-6 salaries 449 2.4
>6 salaries 335 1.8
Type of locality
Rural 231 12.3
Urban 16,585 87.7
Frequency of alcohol consumption *
Does not drink 9891 52.3
Occasionally 8233 43.6
1 or more times per month 558 3.0
Frequency of childhood abuse *
Never 10,502 55.6
Occasionally 4804 25.4
Several times to almost always 3538 18.7
Socio-economic characteristics of partner
Education *
No education 1445 7.6
Elementary and junior high school 11,858 62.8
High school and more 4363 23.1
Work activity *
Student 249 1.3
Unemployed 1181 6.2
Fieldworker or mason's assistant 3038 16.1
Self-employed 2675 14.2
Employee ([double dagger]) 11,151 59.0
Income (multiple of minimum monthly
salary) * ([dagger])
0 to <2 7528 39.8
2 to <5 6812 36.0
[greater than or equal to] 5 1210 6.4
Frequency of alcohol consumption *
Does not drink 2869 15.2
Occasionally 9492 50.2
1-3 times per month 2459 13.0
1-3 times per week 2520 13.3
Every day or almost every day 951 5.0
Source: ENVIM, 2003
* There were missing values.
([dagger]) The minimum daily pay a worker must receive by law.16
The minimum salary during 2003 was the equivalent of C$3.83.
Exchange rate: C$1 = 11.38 pesos, 2006.
([double dagger]) Employees included teachers, office employees
and manual labourers.
Table 2. Factors Associated with Partner Violence, Mexico
(unadjusted odds ratios)
Variable Severe Violence * P
N = 1,758
Women's characteristics OR CI 95% ([dagger])
Age (years)
[greater than or equal to] 55 1
45-54 1.40 (1.17-1.68) 0.00
35-44 1.56 (1.21-2.01) 0.00
25-34 1.32 (1.19-1.46) 0.00
15-24 1.46 (1.31-1.62) 0.00
Education
High school and more 1
Elementary and junior high
school 1.34 (1.11-1.61) 0.00
No education 1.81 (1.16- 2.85) 0.00
Woman's frequency of alcohol
consumption
Does not consume alcohol 1
Occasionally 1.64 (1.42-1.88) 0.00
More than once a month 4.07 (3.76-4.40) 0.00
Work activity
Housewife 1
Works outside the home 1.65 (1.34-2.04) 0.00
History of childhood abuse
Was not physically abused 1
Occasionally 1.68 (1.57-1.81) 0.00
Several times and almost
always 4.18 (3.50-4.99) 0.00
Income (multiple of minimum
monthly wage)
([double dagger])
[greater than or equal to] 5 1
2 to <5 1.32 (0.90-1.92) 0.15
1 to <2 1.99 (1.39-2.83) 0.00
No salary 0.88 (0.62-1.25) 0.48
Partner's characteristics
Education
High school and more 1
Elementary and junior high
school 1.67 (1.60-1.74) 0.00
No education 1.91 (1.55-2.36) 0.00
Work activity
Employee [section] 1
Self-employed 1.13 (0.99-1.30) 0.07
Fieldworker or mason's
assistant 1.25 (0.97-1.62) 0.08
Student 1.87 (1.69-2.06) 0.00
Unemployed 1.50 (1.17-1.92) 0.00
Income (multiple of monthly
salary) ([double dagger])
[greater than or equal to] 5 1
2 to <5 1.41 (1.12-1.77) 0.00
0 to <2 1.60 (1.19-2.15) 0.00
Partner's frequency of
alcohol consumption
No alcohol consumption 1
Occasionally 1.52 (1.09-2.13) 0.00
1-3 times per month 3.54 (2.70-4.65) 0.00
1-3 times per week 6.56 (5.25-8.21) 0.00
Every day or almost every day 10.50 (9.24-11.93) 0.00
Others
Number of children in the
household
0 1
1 0.85 (0.80-0.91) 0.07
[greater than or equal to] 2 1.06 (0.99-1.15) 0.00
Household asset index
High 1
Medium 1.39 (1.26-1.54) 0.00
Low 1.57 (1.16-2.14) 0.00
Variable Non-severe Violence * P
N = 3,430
Women's characteristics OR CI 95% ([dagger])
Age (years)
[greater than or equal to] 55 1
45-54 1.05 (0.78-1.42) 0.72
35-44 1.08 (0.92-1.27) 0.35
25-34 1.03 (0.75-1.40) 0.85
15-24 1.32 (0.95-1.83) 0.09
Education
High school and more 1
Elementary and junior high
school 1.16 (1.05-1.26) 0.00
No education 1.60 (1.19-2.14) 0.00
Woman's frequency of alcohol
consumption
Does not consume alcohol 1
Occasionally 1.51 (1.40-1.63) 0.00
More than once a month 2.26 (1.91-2.67) 0.00
Work activity
Housewife 1
Works outside the home 1.24 (1.14-1.35) 0.00
History of childhood abuse
Was not physically abused 1
Occasionally 1.81 (1.79-1.84) 0.00
Several times and almost
always 2.43 (2.29-2.57) 0.00
Income (multiple of minimum
monthly wage)
([double dagger])
[greater than or equal to] 5 1
2 to <5 1.27 (0.95-1.68) 0.10
1 to <2 2.03 (1.51-2.72 0.00
No salary 1.37 (1.003-1.87) 0.05
Partner's characteristics
Education
High school and more 1
Elementary and junior high
school 1.58 (1.44-1.72) 0.00
No education 1.90 (1.61-2.26) 0.00
Work activity
Employee [section] 1
Self-employed 1.17 (1.10-1.23) 0.00
Fieldworker or mason's
assistant 1.33 (1.78-1.50) 0.00
Student 1.54 (0.74-3.18) 0.25
Unemployed 1.16 (1.02-1.34) 0.03
Income (multiple of monthly
salary) ([double dagger])
[greater than or equal to] 5 1
2 to <5 1.18 (0.37-1.67) 0.36
0 to <2 1.35 (0.83-2.18) 0.22
Partner's frequency of
alcohol consumption
No alcohol consumption 1
Occasionally 1.39 (1.22-1.58) 0.00
1-3 times per month 2.24 (1.96-2.57) 0.00
1-3 times per week 2.39 (2.06-2.78) 0.00
Every day or almost every day 2.58 (1.93-3.46) 0.00
Others
Number of children in the
household
0 1
1 0.94 (0.85-1.02) 0.17
[greater than or equal to] 2 0.90 (0.86-0.95) 0.00
Household asset index
High 1
Medium 1.34 (1.15-1.56)
Low 1.42 (1.19-1.69) 0.00
* Women who were victims of severe or non-severe violence inflicted
by their partners are compared with women who experienced no
violence (N = 13,714).
([dagger]) The analysis was carried out adjusting by stratum.
Confidence intervals to 95% were calculated with robust standard
errors adjusted by "cluster" (institution).
([double dagger]) The minimum daily pay a worker must receive by
law. (16) The minimum wage during 2003 was the equivalent of C$5.01.
Exchange rate: C$1 = 8.69 pesos, 2003.
([section]) Employees included teachers, office employees and manual
labourers.
Table 3. Multivariate Model of Independent Factors Associated with
Partner Abuse, Mexico
Variable Severe Violence * P
N = 1,017
Women's characteristics OR CI 95% ([dagger])
Age (years)
[greater than or equal to] 55 1
45-54 1.31 (0.94-1.82) 0.11
35-44 1.51 (1.35-1.7) 0.00
25-34 1.53 (1.17-1.99) 0.00
15-24 1.49 (1.01-2.21) 0.05
Education
High school and more 1
Elementary and junior high
school 1.15 (0.80-1.65) 0.45
No education 1.51 (1.00-2.30) 0.05
Women's frequency of alcohol
consumption
No alcohol consumption 1
Occasionally 1.48 (1.34-1.65) 0.00
More than once a month 2.51 (1.62-3.90) 0.00
Work activity
Housewife 1
Works outside the home 1.30 (0.99-1.72) 0.06
History of childhood abuse
Was not physically abused 1
Occasionally 1.60 (1.56-1.65) 0.00
Several times and almost
always 3.70 (3.03-4.52) 0.00
Partner's characteristics
Education
High school and more 1
Elementary and junior high
school 1.37 (0.85-2.18) 0.19
No education 1.48 (0.79-2.77) 0.22
Income (multiple of minimum
monthly wage) ([double
dagger])
[greater than or equal to] 5 1
2 to <5 1.01 (0.76-1.35) 0.93
0 to <2 1.13 (0.91-1.41) 0.27
Partner's frequency of alcohol
consumption
No alcohol consumption 1
Occasionally 1.77 (1.62-1.93) 0.00
1-3 times per month 4.00 (3.74-4.28) 0.00
1-3 times per week 6.85 (6.29-7.47) 0.00
Every day or almost every day 14.77 (13.25-16.46) 0.00
Others
Number of children in the
household
0 1
1 1.14 (1.04-1.24) 0.00
[greater than or equal to] 2 1.44 (1.18-1.77) 0.00
Household asset index
High 1
Medium 1.32 (1.02-1.18) 0.04
Low 1.15 (1.14-1.72) 0.00
Variable Non-severe Violence * P
N = 2,242
Women's characteristics OR CI 95% ([dagger])
Age (years)
[greater than or equal to] 55 1
45-54 0.93 (0.79-1.12) 0.44
35-44 0.96 (0.75-1.24) 0.78
25-34 0.96 (0.67-1.37) 0.82
15-24 1.01 (0.66-1.55) 0.94
Education
High school and more 1
Elementary and junior high
school 0.96 (0.78-1.17) 0.68
No education 1.35 (1.16-1.56) 0.00
Women's frequency of alcohol
consumption
No alcohol consumption 1
Occasionally 1.43 (1.28-1.59) 0.00
More than once a month 1.60 (1.51-1.69) 0.00
Work activity
Housewife 1
Works outside the home 1.10 (1.00-1.21) 0.04
History of childhood abuse
Was not physically abused 1
Occasionally 1.65 (1.56-1.75) 0.00
Several times and almost
always 2.19 (2.07-2.31) 0.00
Partner's characteristics
Education
High school and more 1
Elementary and junior high
school 1.36 (1.25-1.47) 0.00
No education 1.54 (1.35-1.76) 0.00
Income (multiple of minimum
monthly wage) ([double
dagger])
[greater than or equal to] 5 1
2 to <5 1.18 (0.93-1.49) 0.18
0 to <2 1.29 (1.02-1.63) 0.00
Partner's frequency of alcohol
consumption
No alcohol consumption 1
Occasionally 1.29 (1.09-1.53) 0.00
1-3 times per month 1.95 (1.59-2.38) 0.00
1-3 times per week 2.17 (1.74-2.71) 0.00
Every day or almost every day 3.04 (2.75-3.36) 0.00
Others
Number of children in the
household
0 1
1 1.18 (1.10-1.26) 0.00
[greater than or equal to] 2 1.20 (1.04-1.39) 0.01
Household asset index
High 1
Medium 1.18 (0.89-1.57) 0.24
Low 1.31 (1.05-1.62) 0.01
Goodness of fit test = 0.75
* Women who were victims of severe or non-severe violence inflicted
by their partners are compared with women who experienced no
violence (N = 13,714).
([dagger]) The analysis was carried out adjusting by stratum.
Confidence intervals to 95% were calculated with robust standard
errors adjusted by "cluster" (institution).
([double dagger]) The minimum daily pay a worker must receive by
law. (16) The minimum wage during 2003 was the equivalent of C$5.01.
Exchange rate: C$1 = 8.69 pesos, 2003.