The report is based on the overall objective of investigating the timely utilisation of antenatal care services by the women of reproductive age group across the socio demographic variables and husband/partner characteristics. The health of the future generations is greatly dependent on the growth and development of the baby in the mother’s womb. The success of the foetal life determines the health of the newborn and also majorly impacts the health and disease risk of the adult (EBCOG Scientific Committee, 2015). The antenatal healthcare is defined as the care from the health professions during pregnancy and is thereby also known as pregnancy and maternity care. It involves appointments with the midwife or sometimes a doctor who is specialised in pregnancy and childbirth, that is obstetrician. The antenatal care potentially links the pregnant women and their family with the formal health system and thereby increases the accessibility to skilled attendants and also reduces the chance of mortality and other health consequences associated with pregnancy and delivery. It also plays a vital role in promoting good health of the women throughout their life. The lack of proper care utilisation breaks this link and affects both the pregnant women and the babies and this thereby depicts its public health importance (World Health Organization, 2016). The current antenatal care focuses on medical risks and needs to be evolved for including non medical factors and for reaching out to all parts of the community. There are large disparities that exist in countries as well as within nations, cities and population groups in this form of care. Thus, it is needed to enhance the awareness among the professionals to address both the medical and social issues such as social deprivation and domestic violence to enhance the utilisation of antenatal care services (EBCOG Scientific Committee, 2015). The socio demographic variables potentially influence the utilisation of antenatal care. The financial status of the households potentially determines the early initiation of antenatal care. The utilisation of antenatal care also depends on rural and urban living. The early initiation of utilisation of antenatal care depends on age, educational level and wealth index. The women with higher wealth and educational level are more likely to access the care (Ng’ambi et al., 2022). The husband/partner characteristics such as husband’s education and marital status determines their involvement and thereby impacts the utilisation of antenatal care. Both the variables that are socio demographic and husband/partner’s characteristics are potentially linked to each other. The educational level of the husband/partner potentially determines the income level which further demonstrates their involvement and determines the utilisation of antenatal care by the women. Moreover, the marital status of the women also determines the partner’s involvement and accessibility of antenatal care by the pregnant women (Mohammed et al., 2020). All these thereby demonstrate the relationship of the variables of interest that are the socio demographic and husband/partner’s characteristics. This particular analysis in this report will help in investigating the timely utilisation of antenatal care by the women who are at their reproductive age by relating it to their socio demographic characteristics and husband’s/partner’s characteristics. This will thereby help in understanding the impact of these different variables on the proper utilisation of care and health status of women in their reproductive age.
According to Nababan et al. (2018), the inequity in the utilisation of maternal healthcare services varies on the basis of education, urban rural location, region and religion. The trend depends on the difference between the financial status such as rich and poor. The women who are rich are 5.45 times more likely to access the antenatal care services. The urban women are also more likely to use these services by about 3 times more than the rural women (Nababan et al., 2018). Sakeah et al. (2017) conducted the cross sectional study and stated that having a partner with a high educational level is positively associated with the utilisation of antenatal care. Marital status is also associated with the attendance in antenatal care. It was further stated that the youngest, poorest and least educated women and the women with the uneducated partners are less likely to attend the antenatal services (Sakeah et al., 2017). Afaya et al. (2020) stated that the awareness and further education of the reproductive age women potentially enhances their knowledge regarding the importance of antenatal care and this further plays a significant role in enhancing their attendance in the antenatal care (Afaya et al., 2020). According to Tello Torres et al. (2021), the women in the age groups of 20 to 34 years and 35 to 49 years and having higher education and belonging to wealthy quintiles show increased compliance with antenatal care (Tello Torres et al., 2021). The study of Yaya et al. (2019) stated that the intersecting areas of gender status and socioeconomic status potentially determines the access to proper care. It was further mentioned that the economic marginalisation and financial dependency of the women on their partner for the pregnancy healthcare costs potentially determines the utilisation of care. The financial status of men and the workload during pregnancy also determines the barrier to access antenatal care (Yaya et al., 2019). As per the findings of Sarfraz et al. (2016), the social barriers, financial constraints and non acceptability of the community midwives potentially affects the utilisation of the antenatal care (Sarfraz et al., 2016). From the survey conducted by Andriani et al. (2021), it can be stated that the continuity of the utilisation of services is potentially associated with age, reproductive status, family influence and accessibility related factors. It is also important to enhance the reproductive health education of both men and women for enhancing the utilisation (Andriani et al., 2021). Kabir et al. (2021) potentially presented a different aspect that stated the impact of intimate partner violence on the accessibility and timely utilisation of antenatal care services. The study also stated that the advanced education of women potentially increases the attendance of antenatal care whereas the women residing with alcoholic partners are more likely to experience partner abuse which further negatively impacts the utilisation of antenatal care (Kabir et al., 2021).
The research philosophy depicts the belief of the researcher regarding the way through which the data is gathered, analysed and used. It deals with the source and nature of data of the research (Kumar, 2018). In this meta analysis study that uses the statistical process, the researcher is going to use the positivism philosophy as the study adhered to only factual data that are gained from proper authenticated sources. This particular philosophy is potentially associated with quantitative methods that are used in this research report. The interpretivism philosophy is not used as the research is not going to involve qualitative data, that is, it is not associated with subjectivist views. The pragmatism philosophy applied to research that uses both qualitative and quantitative data, that is, mixed methodology and thus it is also not chosen by the researcher. Realism is not selected as the research is not independent from the reality of human minds (Alharahsheh and Pius, 2020).
The research approach is defined as the procedure that is selected by the researcher for collecting and analysing data to interpret the results. For this particular research, the researcher opted for the deductive approach that involves application of theory to the data for testing the same. It thereby involves making inferences from general to specific conclusions. The inductive research approach is not opted by the researcher as it focuses on searching patterns from observations to develop theories and this particular research does not focus on doing this. The abductive research approach is also not suitable as the research does not focus on making observations and seeking any hypothesis that would fit those observations (Bairagi and Munot, 2019).
The research design is defined as the framework of the research methods and techniques that the researcher’s choose to conduct the research study. This particular research implements exploratory design as it enables the researcher to investigate the problem related to the utilisation of antenatal care in accordance with the sociodemographic variables and partner’s/ husband’s characteristics that have not been clearly defined before. It thereby helps in providing a better understanding of the problem. The explanatory research design is not chosen as the research method as it focuses on exploring the reason behind the problem where limited information is available. The descriptive research design is also not chosen as it focuses on obtaining information for systematically describing the phenomenon or the situation which is not the case for this research (Sileyew, 2019).
Data collection is defined as the process of gathering accurate data from various sources to accomplish and address the research objective. Among the two types of data collection, primary and secondary, the researcher has chosen secondary data collection that involves collecting data from already existing sources (Rinjit, 2020). In this research, the researcher collects secondary quantitative data as the dataset from SADHS Women Data. The primary data collection is not chosen by the researcher as the research has not involved any human participants and has not collected data in a first hand manner.
Secondary quantitative data has been gathered from “SADHS Women Data” from DHS Program website. It was extracted from extracted from South Africa Demographic and Health Survey (SADHS) 2016. The survey was conducted as a collaboration between Statistics South Africa (Stats SA) and the South African Medical Research Council (SAMRC) with technical support from ICF through The DHS Program of the United States Agency for International Development (USAID). It provides different quantitative data presentation about the characteristics of men and their wife who need the antenatal care service at their reproductive age. The utilisation of secondary quantitative data has helped in the overall growth and development of the research process by showing significant understanding of the research. Important data related to “antenatal care”, husband/ partner characteristics of the wives who are aiming to gain antenatal care services has collected from SADHS Women Data. These data have bee collected to conduct statistical analysis with the us of MS excel. Regression, correlation test have been done to text the hypothesis and related to the use of drugs, alcohols and the rate of education significantly affect the traits of domestic violence among husband or partners of women who are in higher need of antenatal care at their reproductive age.
In order to retain the reliability and authenticity of the research has been maintained along with the privacy and security of the collected information. The information has been collected with the maintenance of data protection act regulation which is helpful to maintain the authenticity and reliability of the gathered data considering its impact on the society.
Doctor |
|
Nurse/Midwife |
|
Community health worker |
|
Traditional birth attendant |
|
Other |
|
Percentage of receiving antenatal care |
|
Number of women |
|
Mean |
16.65 |
Mean |
77.145 |
Mean |
0.6 |
Mean |
0 |
Mean |
0.01 |
Mean |
93.79 |
Mean |
758.95 |
Standard Error |
2.711122316 |
Standard Error |
2.72318 |
Standard Error |
0.12161198 |
Standard Error |
0 |
Standard Error |
0.01 |
Standard Error |
0.357984 |
Standard Error |
139.9367 |
Median |
15.05 |
Median |
79.55 |
Median |
0.6 |
Median |
0 |
Median |
0 |
Median |
93.6 |
Median |
603.5 |
Mode |
#N/A |
Mode |
#N/A |
Mode |
0.6 |
Mode |
0 |
Mode |
0 |
Mode |
93.5 |
Mode |
#N/A |
Standard Deviation |
12.12450759 |
Standard Deviation |
12.17843 |
Standard Deviation |
0.543865308 |
Standard Deviation |
0 |
Standard Deviation |
0.044721 |
Standard Deviation |
1.600954 |
Standard Deviation |
625.8161 |
Sample Variance |
147.0036842 |
Sample Variance |
148.3142 |
Sample Variance |
0.295789474 |
Sample Variance |
0 |
Sample Variance |
0.002 |
Sample Variance |
2.563053 |
Sample Variance |
391645.8 |
Kurtosis |
3.424135885 |
Kurtosis |
2.903534 |
Kurtosis |
7.650819553 |
Kurtosis |
#DIV/0! |
Kurtosis |
20 |
Kurtosis |
0.47467 |
Kurtosis |
0.200482 |
Skewness |
1.768362424 |
Skewness |
1.54192 |
Skewness |
2.240018018 |
Skewness |
#DIV/0! |
Skewness |
4.472136 |
Skewness |
0.119386 |
Skewness |
1.000937 |
Range |
50.1 |
Range |
51.5 |
Range |
2.5 |
Range |
0 |
Range |
0.2 |
Range |
6.9 |
Range |
2158 |
Minimum |
1.2 |
Minimum |
44.6 |
Minimum |
0 |
Minimum |
0 |
Minimum |
0 |
Minimum |
90.4 |
Minimum |
42 |
Maximum |
51.3 |
Maximum |
96.1 |
Maximum |
2.5 |
Maximum |
0 |
Maximum |
0.2 |
Maximum |
97.3 |
Maximum |
2200 |
Sum |
333 |
Sum |
1542.9 |
Sum |
12 |
Sum |
0 |
Sum |
0.2 |
Sum |
1875.8 |
Sum |
15179 |
Count |
20 |
Count |
20 |
Count |
20 |
Count |
20 |
Count |
20 |
Count |
20 |
Count |
20 |
Confidence Level(95.0%) |
5.674444221 |
Confidence Level(95.0%) |
5.699681 |
Confidence Level(95.0%) |
0.254536799 |
Confidence Level(95.0%) |
0 |
Confidence Level(95.0%) |
0.02093 |
Confidence Level(95.0%) |
0.749269 |
Confidence Level(95.0%) |
292.891 |
Table 1: Descriptive Statistics
The above table suggested that the antenatal care provider’s demographic characteristics. Women in their antenatal care gains the required car facilities from Doctor, nurse or Midwife, community health worker, traditional birth attendant and others. Highest mean value is found to be 77.145 which suggest that the results are relevant in terms of showing the relationship between antenatal care provider’s statistics.
t Test: Paired Two Sample for Means |
||
|
Drug not used |
Often uses drugs |
Mean |
10.31428571 |
47.98571429 |
Variance |
51.3247619 |
647.5280952 |
Observations |
7 |
7 |
Pearson Correlation |
0.981538052 |
|
Hypothesized Mean Difference |
0 |
|
df |
6 |
|
t Stat |
5.39755732 |
|
P(T<=t) one tail |
0.000833865 |
|
t Critical one tail |
1.943180281 |
|
P(T<=t) two tail |
0.00166773 |
|
t Critical two tail |
2.446911851 |
|
Table 2: T test Drug users and no drug users’ husband/partners
The above table showcases the t test between “drug taker husbands/partners” and those who does take drugs. The hypothesized mean difference shows the value of 0. It shows that the husband’s /partners of wives are more drug users than less drug users are tending to become more emotional, physical and sexual violator over their partners wives which increases their necessity towards antenatal care.
t Test: Paired Two Sample for Means |
||
|
Variable 1 |
Variable 2 |
Mean |
10.38571429 |
3.842857143 |
Variance |
57.84142857 |
15.32952381 |
Observations |
7 |
7 |
Pearson Correlation |
0.977785542 |
|
Hypothesized Mean Difference |
0 |
|
df |
6 |
|
t Stat |
4.478659862 |
|
P(T<=t) one tail |
0.0020992 |
|
t Critical one tail |
1.943180281 |
|
P(T<=t) two tail |
0.0041984 |
|
t Critical two tail |
2.446911851 |
|
Table 3: T test Less education and higher educated husband/partners
The above table showcases the t test between “no education” and “more than secondary education” have shown the corelated relationship. The hypothesized mean difference shows the value of 0. It shows that the husband’s /partners of wives’ who does not have required education are tends to become more emotional, physical and sexual violator over their partners wives which increases their necessity towards antenatal care.
t Test: Paired Two Sample for Means |
||
|
Variable 1 |
Variable 2 |
Mean |
274.85 |
78.1125 |
Variance |
576541.9457 |
12824.76696 |
Observations |
8 |
8 |
Pearson Correlation |
0.985324046 |
|
Hypothesized Mean Difference |
0 |
|
df |
7 |
|
t Stat |
0.858721063 |
|
P(T<=t) one tail |
0.209462702 |
|
t Critical one tail |
1.894578605 |
|
P(T<=t) two tail |
0.418925404 |
|
t Critical two tail |
2.364624252 |
|
Table 4: T test Alcoholic and non alcoholic husband/partners
The above table showcases the t test between “non alcoholic husband/partners” and “alcoholic husband/partners” have shown the corelated relationship. The hypothesized mean difference shows the value of 0. It shows that the husband’s /partners of wives’ who are alcoholic are tends to become more emotional, physical and sexual violator over their partners wives which increases their necessity towards antenatal care.
SUMMARY OUTPUT |
||||||||
Regression Statistics |
||||||||
Multiple R |
0.349731128 |
|||||||
R Square |
0.122311862 |
|||||||
Adjusted R Square |
0.097110172 |
|||||||
Standard Error |
0.882994694 |
|||||||
Observations |
6 |
|||||||
ANOVA |
||||||||
|
df |
SS |
MS |
F |
Significance F |
|||
Regression |
1 |
0.434614817 |
0.434614817 |
0.557427 |
0.496791 |
|||
Residual |
4 |
3.118718516 |
0.779679629 |
|||||
Total |
5 |
3.553333333 |
|
|
|
|||
|
Coefficients |
Standard Error |
t Stat |
P value |
Lower 95% |
Upper 95% |
Lower 95.0% |
Upper 95.0% |
Intercept |
93.23105345 |
1.007333172 |
92.55235117 |
8.17E 08 |
90.43425 |
96.02786 |
90.43425 |
96.02786 |
physical violence |
0.058442154 |
0.078276616 |
0.746610633 |
0.496791 |
0.15889 |
0.275773 |
0.15889 |
0.275773 |
|
Literacy |
Physical violation |
Emotional Violence |
Percentage receiving antenatal care |
Literacy |
1 |
|||
Physical violation |
0.442322548 |
1 |
||
Emotional Violence |
0.580399794 |
0.349731128 |
1 |
|
Percentage receiving antenatal care |
0.503085502 |
0.519908187 |
0.891888793 |
1 |
Table 5: Regression
From the above table the dependent value is “Literacy” of husband/partners and the intendent value is “physical violence”. The r square value of 0.122 suggested that less education of partners leads to increasing violation of women which increases their requirement for antenatal services.
It has been found from the data analysis that in the antenatal care process for women who are required antenatal care there are different antenatal care providers such as Doctor community health workers, traditional birth attendant, nurse or mid wife, and others. These service provisions are highly important in terms of developing their reproductive care facility at the time of pregnancy. Sarfraz et al. (2016) stated that the trend depends on the difference between the financial status such as rich and poor. It was further stated that the youngest, poorest and least educated women and the women with the uneducated partners are less likely to attend the antenatal services. Similarly, the economic marginalisation and financial dependency of the women on their partner for the pregnancy healthcare costs potentially determines the utilisation of care. The continuity of the utilisation of services is potentially associated with age, reproductive status, family influence and accessibility related factors. Thus, it shows that the antenatal care potentially links the pregnant women and their family with the formal health system and thereby increases the accessibility to skilled attendants and also reduces the chance of mortality and other health consequences associated with pregnancy and delivery.
It is also important to enhance the reproductive health education of both men and women for enhancing the utilisation. Kabir et al. (2021) suggested that the impact of intimate partner violence on the accessibility and timely utilisation of antenatal care services. The study also stated that the advanced education of women potentially increases the attendance of antenatal care whereas the women residing with alcoholic partners are more likely to experience partner abuse which further negatively impacts the utilisation of antenatal care. It has been understood that on the promotion of antenatal care the traits associated to literacy rate of husbands or partners pf the women involved in the antenatal care services provided an effect on the traits of emotional and physical violence on women. It suggests that the women who suffered from domestic violence are in higher need of antenatal care.
The strength of this research is that the present research successfully shows significant utilisation of antenatal care services for women reproductive age group with the evaluation of their socio demographic variables and by their husband or partner characteristics. These are highly necessary through which interrelation between these variables have been accomplished. On the other hand, the weakness of this research is that it does not address current challenges of antenatal care services provided for women. In addition, the roles of antenatal care providers have also not been analysed in this research.
Afaya, A., Azongo, T.B., Dzomeku, V.M., Afaya, R.A., Salia, S.M., Adatara, P., Kaba Alhassan, R., Amponsah, A.K., Atakro, C.A., Adadem, D. and Asiedu, E.O., (2020). Women’s knowledge and its associated factors regarding optimum utilisation of antenatal care in rural Ghana: A cross sectional study. Plos one, 15(7), p.e0234575.
Alharahsheh, H.H. and Pius, A., (2020). A review of key paradigms: Positivism VS interpretivism. Global Academic Journal of Humanities and Social Sciences, 2(3), pp.39 43.
Andriani, H., Rachmadani, S.D., Natasha, V. and Saptari, A., (2021). Continuity of maternal healthcare services utilisation in Indonesia: analysis of determinants from the Indonesia Demographic and Health Survey. Family Medicine and Community Health, 9(4).
Bairagi, V. and Munot, M.V. eds., (2019). Research methodology: A practical and scientific approach. CRC Press.
EBCOG Scientific Committee, (2015). The public health importance of antenatal care. Facts, views & vision in ObGyn, 7(1), p.5.
Kabir, R., Chakraborty, R., Vinnakota, D. and Siddika, N., (2021). Intimate partner violence constrains timely utilisation of antenatal care services among Armenian women: Results from a nationally representative sample. International journal of critical illness and injury science, 11(4), p.209.
Kumar, R., (2018). Research methodology: A step by step guide for beginners. Sage.
Mohammed, S., Yakubu, I. and Awal, I., (2020). Sociodemographic factors associated with women’s perspectives on male involvement in antenatal care, labour, and childbirth. Journal of pregnancy, 2020.
Nababan, H.Y., Hasan, M., Marthias, T., Dhital, R., Rahman, A. and Anwar, I., (2018). Trends and inequities in use of maternal health care services in Indonesia, 1986–2012. International journal of womens health, 10, p.11.
Ng’ambi, W.F., Collins, J.H., Colbourn, T., Mangal, T., Phillips, A., Kachale, F., Mfutso Bengo, J., Revill, P. and Hallett, T.B., (2022). Socio demographic factors associated with early antenatal care visits among pregnant women in Malawi: 2004–2016. PloS one, 17(2), p.e0263650.
Rinjit, K., (2020). Research methodology.
Sakeah, E., Okawa, S., Rexford Oduro, A., Shibanuma, A., Ansah, E., Kikuchi, K., Gyapong, M., Owusu Agyei, S., Williams, J., Debpuur, C. and Yeji, F., (2017). Determinants of attending antenatal care at least four times in rural Ghana: analysis of a cross sectional survey. Global health action, 10(1), p.1291879.
Sarfraz, M., Tariq, S., Hamid, S. and Iqbal, N., (2016). Social and societal barriers in utilization of maternal health care services in rural Punjab, Pakistan. Journal of Ayub Medical College Abbottabad, 27(4), pp.843 849.
Sileyew, K.J., (2019). Research design and methodology (pp. 1 12). Rijeka: IntechOpen.
Tello Torres, C., Hernández Vásquez, A., Dongo, K.F., Vargas Fernández, R. and Bendezu Quispe, G., (2021). Prevalence and Determinants of Adequate Compliance with Antenatal Care in Peru. Revista Brasileira de Ginecologia e Obstetrícia, 43, pp.442 451.
World Health Organization, (2016). WHO recommendations on antenatal care for a positive pregnancy experience. World Health Organization.
Yaya, S., Okonofua, F., Ntoimo, L., Udenige, O. and Bishwajit, G., (2019). Gender inequity as a barrier to women’s access to skilled pregnancy care in rural Nigeria: a qualitative study. International health, 11(6), pp.551 560.
Women demographic characteristics
Age |
Doctor |
Nurse_or_Mid_wife |
Community_health_worker |
Traditional_Birth _attendant |
Other |
Percentage_receiving_antenatal_care_from_skilled_provider |
Number_of_women |
<20 |
7 |
87.7 |
0.7 |
0 |
0 |
94.7 |
432 |
20 34 |
18 |
75.5 |
0.6 |
0 |
0 |
93.5 |
2200 |
35 49 |
22.5 |
70.9 |
0.5 |
0 |
0.2 |
93.4 |
404 |
Birth Order |
|||||||
1 |
16 |
79 |
0.5 |
0 |
0 |
95 |
1040 |
2 to 3 |
18.7 |
74.1 |
0.7 |
0 |
0 |
92.8 |
1586 |
4 to 5 |
14.1 |
80.1 |
0 |
0 |
0 |
94.2 |
326 |
6+ |
10.6 |
80.9 |
2.5 |
0 |
0 |
91.5 |
84 |
Residence |
|||||||
Urban |
20.1 |
72.4 |
0.8 |
0 |
0 |
92.4 |
1942 |
Non urban |
11.8 |
84.1 |
0.2 |
0 |
0 |
95.9 |
1094 |
Education |
|||||||
No education |
1.2 |
96.1 |
0 |
0 |
0 |
97.3 |
42 |
Primary incomplete |
8 |
85.7 |
0 |
0 |
0 |
93.7 |
141 |
Primary complete |
8.1 |
82.3 |
1 |
0 |
0 |
90.4 |
108 |
Secondary incomplete |
9.8 |
83.6 |
0.8 |
0 |
0 |
93.4 |
1486 |
Secondary complete |
18.9 |
74.6 |
0.5 |
0 |
0 |
93.5 |
908 |
More than secondary |
51.3 |
44.6 |
0.2 |
0 |
0 |
95.8 |
351 |
Wealth |
|||||||
Lowest |
6.9 |
86.7 |
0.2 |
0 |
0 |
93.7 |
650 |
Second |
7.8 |
85.1 |
1 |
0 |
0 |
92.8 |
739 |
Middle |
16.2 |
77.9 |
0.6 |
0 |
0 |
94.1 |
671 |
Fourth |
22.2 |
73.1 |
0.6 |
0 |
0 |
95.3 |
557 |
Highest |
43.8 |
48.5 |
0.6 |
0 |
0 |
92.4 |
418 |
Husband characteristics
age |
Literacy |
Number of men |
Internet use |
Employment status |
Married |
HIV test |
20 24 |
94.1 |
588 |
981 |
588 |
7.2 |
38.5 |
25 29 |
95.6 |
506 |
312 |
506 |
25 |
28.7 |
30 34 |
94.7 |
450 |
225 |
450 |
48.6 |
49.3 |
35 39 |
95 |
395 |
184 |
395 |
53.6 |
52.8 |
40 44 |
91.9 |
348 |
100 |
345 |
62.4 |
48 |
45 49 |
93.8 |
271 |
91 |
271 |
63.6 |
45.3 |
Background characteristic |
|
|
|
|
Physical and sexual and emotional |
|
Physical or sexual or emotional |
Number of ever in union women |
|||||||||
Emotional violence |
Physical violence |
Sexual violence |
Physical and sexual |
Physical or sexual |
|||||||||||||
Husband’s/partner’s education |
|
|
|
|
|
|
|||||||||||
No education |
17.3 |
13.5 |
3 |
2.5 |
2.3 |
14 |
20.1 |
244 |
|||||||||
Primary incomplete |
16.9 |
16.4 |
2.3 |
2.3 |
2.1 |
16.4 |
22.7 |
276 |
|||||||||
Primary complete |
8.8 |
10.3 |
0.9 |
0.5 |
0.5 |
10.8 |
14.8 |
107 |
|||||||||
Secondary incomplete |
16.9 |
18.1 |
6.1 |
4.7 |
3.8 |
19.5 |
25 |
866 |
|||||||||
Secondary complete |
10.2 |
9.5 |
2.5 |
0.8 |
0.8 |
11.3 |
15.7 |
622 |
|||||||||
More than secondary |
7.9 |
4.3 |
0.3 |
0.1 |
0.1 |
4.5 |
9.7 |
395 |
|||||||||
Don’t know |
13.3 |
19.6 |
5.2 |
4.5 |
4 |
20.3 |
24.7 |
72 |
|||||||||
Husband’s/partner’s alcohol consumption |
|||||||||||||||||
Does not drink alcohol |
|||||||||||||||||
9.1 |
8.3 |
2.2 |
1.5 |
1.4 |
9.1 |
13.2 |
2,154 |
||||||||||
Drinks alcohol but is never drunk |
|||||||||||||||||
13.9 |
3.1 |
0 |
0 |
0 |
3.1 |
13.9 |
37 |
||||||||||
Is sometimes drunk |
16.7 |
16.5 |
4.4 |
2.9 |
2.6 |
17.9 |
24.7 |
1,072 |
|||||||||
Is often drunk |
45.9 |
53.8 |
20 |
17.3 |
12.4 |
56.6 |
64.9 |
354 |
|||||||||
Don’t know |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
5 |
|||||||||
Husband’s/partner’s drug usage |
|||||||||||||||||
Does not use drugs |
13.9 |
13.9 |
4 |
2.8 |
2.3 |
15 |
20.3 |
||||||||||
Sometimes uses drugs |
21.1 |
23.9 |
9.3 |
9.3 |
3.7 |
23.9 |
29.8 |
3,502 |
|||||||||
Often uses drugs |
58.5 |
68.1 |
23.9 |
23.2 |
17.2 |
68.9 |
76.1 |
42 |
|||||||||
Don’t know |
77 |
66.3 |
44.1 |
40.1 |
40.1 |
70.3 |
82 |
53 |
|||||||||
Spousal education difference |
24 |
||||||||||||||||
Husband better educated |
12.7 |
12.6 |
2.9 |
2.1 |
1.9 |
13.5 |
18.1 |
||||||||||
Wife better educated |
14.7 |
16.2 |
4.3 |
3.4 |
2.5 |
17.1 |
22 |
783 |
|||||||||
Both equally educated |
12.1 |
9.1 |
2.6 |
1.3 |
1.2 |
10.5 |
16.5 |
858 |
|||||||||
Neither educated |
19 |
13.6 |
3.9 |
3.6 |
3.6 |
13.8 |
22.6 |
755 |
|||||||||
Don’t know |
13.3 |
19.6 |
5.2 |
4.5 |
4 |
20.3 |
24.7 |
116 |
|||||||||
Spousal age difference |
72 |
||||||||||||||||
Wife older |
12 |
16.5 |
3.4 |
3.1 |
3.1 |
16.7 |
19.2 |
||||||||||
Wife is same age |
14 |
18.2 |
3.3 |
1.6 |
0.2 |
19.8 |
24.1 |
294 |
|||||||||
Wife 1 4 years younger |
13 |
12.5 |
3.7 |
2.7 |
2.1 |
13.6 |
19 |
168 |
|||||||||
Wife 5 9 years younger |
12 |
10 |
3 |
1.4 |
1.3 |
11.6 |
16.9 |
934 |
|||||||||
Wife 10 or more years |
729 |
||||||||||||||||
younger |
17 |
14.8 |
3.6 |
3.3 |
3.2 |
15.1 |
22 |
||||||||||
Number of marital control behaviours displayed by husband/ partner |
456 |
||||||||||||||||
0 |
3.8 |
4.4 |
1.1 |
0.5 |
0.3 |
5 |
6.8 |
||||||||||
1 to 2 |
16 |
17.8 |
2.4 |
1.6 |
1.4 |
18.7 |
25.5 |
2,001 |
|||||||||
3 to 4 |
44 |
39 |
14.9 |
11 |
8.6 |
42.9 |
58.1 |
993 |
|||||||||
5 |
67 |
64.9 |
32.7 |
31.4 |
26.4 |
66.2 |
77.9 |
477 |
|||||||||
Number of decisions in which women participate |
151 |
||||||||||||||||
0 |
7.1 |
7.4 |
0 |
0 |
0 |
7.4 |
8.4 |
||||||||||
1 to 2 |
21 |
20.4 |
7.3 |
6.5 |
3.2 |
21.2 |
29.4 |
46 |
|||||||||
3 |
12 |
12.9 |
3.2 |
1.9 |
1.8 |
14.2 |
19.3 |
174 |
|||||||||
1,589 |
Essay Writing Prices