| Literature DB >> 33503736 |
Fatemeh Abdi1, Zohreh Mahmoodi1, Fatemeh Afsahi2, Negin Shaterian3, Fatemeh Alsadat Rahnemaei3.
Abstract
OBJECTIVE: In addition to the many social, economic, cultural, security, and environmental problems in the metropolitan areas, suburbanization has led to the growth and spread of domestic violence against women, and is still increasing. Different social determinants can play a role in violence against suburban women, so this study was designed to investigate the social determinants of domestic violence in suburban women of developing countries.Entities:
Keywords: Domestic violence; Social determinants; Suburbanization; Women
Year: 2021 PMID: 33503736 PMCID: PMC7991000 DOI: 10.5468/ogs.20211
Source DB: PubMed Journal: Obstet Gynecol Sci ISSN: 2287-8572
Search strategy
| ID | Search term |
|---|---|
| #1 | “Domestic Violence”[tiab] OR “Family Violence”[tiab] OR “Spousal Violence”[tiab] OR “Sexual Violence”[tiab] OR “Physical Violence”[tiab] OR “Emotional Violence”[tiab] OR “Verbal Violence”[tiab], OR “Economical Violence”[tiab], OR “Assaultive Behavior”[tiab] |
| #2 | ‘suburban area’ [tiab], OR ‘suburbanization’ [tiab], OR ‘Social marginalization’ [tiab] OR ‘slum’ [tiab], OR ‘informal settlement’ [tiab], OR ‘marginalization’ [taib], OR ‘Poverty Area’ [tiab], |
| #3 | ‘woman’ [tiab], OR” women” [tiab], OR “female” [tiab] |
| #1 AND #2 AND #3 |
Fig. 1Search flow diagram.
Prevalence of domestic violence in suburban women
| Author (yr) | Ref. | Study design | Sample size | Region | Age (yr) | Total prevalence of domestic violence (%) | Physical (%) | Emotional (%) | Sexual (%) | Economical (%) | Verbal (%) | Quality score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dasgupta et al. (2019) | [ | Cross-sectional | 1,047 | India | 17–45 | 29.4 | - | - | - | - | - | 21 |
| Gibbs et al. (2018) | [ | Cross-sectional | 680 | South African | 18–30 | - | 48.5 | 66.5 | 21.2 | 43.7 | - | 21 |
| Chowdhury et al. (2018) | [ | Cross-sectional | 87 | Bangladesh | 15–49 | 57.5 | - | - | - | - | - | 21 |
| Pal et al. (2017) | [ | Cross-sectional | 50 | India | 15–49 | 59.3 | 61.6 | 84.3 | 58.8 | - | - | 19 |
| Mohapatra and Mistry (2017) | [ | Cross-sectional | 100 | India | 15–49 | 35 | 34 | 35 | 17 | - | - | 19 |
| Khayat et al. (2017) | [ | Cross-sectional | 400 | Iran | 15–49 | - | 18 | - | 39 | - | - | 20 |
| Silverman et al. (2016) | [ | Cross-sectional | 1,061 | India | 17–45 | 28.4 | - | - | - | - | - | 18 |
| Sathe and Holcambe (2016) | [ | Cross-sectional | 115 | India | 15–45 | 55.83 | 28.16 | 49.03 | - | - | - | 17 |
| Parvin et al. (2016) | [ | Cross-sectional | 1,566 | Bangladesh | 15–29 | 60 | - | - | - | - | - | 21 |
| Muthengi et al. (2016) | [ | Cross-sectional | 452 | Kenya | 15–19 | 25.6 | - | - | - | - | - | 20 |
| Donta et al. (2016) | [ | Cross-sectional | 1,136 | India | 18–39 | 21 | 16.8 | 12.4 | 4.8 | - | - | 19 |
| Swahn et al. (2015) | [ | Cross-sectional | 313 | Uganda | 14–24 | - | 36.9 | - | - | - | - | 17 |
| Dasgupta et al. (2015) | [ | Cross sectional | 97 | India | 15–49 | 32.9 | - | - | - | - | - | 21 |
| Begum et al. (2015) | [ | Cross sectional | 1,137 | India | 18–39 | 21.2 | 16.8 | 12.4 | 4.8 | - | - | 20 |
| Barman et al. (2015) | [ | Cross sectional | 300 | India | 15–19 | 2.3 | - | - | - | - | - | 17 |
| Hiremath and Debaje (2014) | [ | Cross sectional | 59 | India | 15–19 | 38.15 | - | - | - | - | - | 17 |
| Gaikwad and Rao (2014) | [ | Cross sectional | 548 | India | 15–45 | 36.86 | 26.82 | 12.59 | 24.64 | - | 33.21 | 18 |
| Shrivastava and Shrivastava (2013) | [ | Cross sectional | 274 | India | 18–45 | 36.9 | 53.4 | - | - | - | 86.1 | 18 |
| Kambli et al. (2013) | [ | Cross sectional | 105 | India | 15–45 | 100 | 48.57 | - | - | - | 71.4 | 17 |
| Fawole et al. (2013) | [ | Cross sectional | 323 | Nigeria | 18≤ | - | 16.7 | 20.8 | 0.8 | 13.7 | - | 20 |
| Das et al. (2013) | [ | Cross sectional | 2,139 | India | 14.9 | 11.54 | 7.8 | 1.63 | - | - | 21 | |
| Sinha et al. (2012) | [ | Cross sectional | 159 | India | 15–45 | 54 | 41.9 | 19.8 | - | - | - | 17 |
| Sambisa et al. (2011) | [ | Cross sectional | 5,128 | Bangladesh | 15–49 | 35 | - | - | - | - | - | 19 |
| Bhatta et al. (2018) | [ | Cross sectional | 120 | Nepal | 18≤ | 42.5 | 35.3 | 27.4 | - | - | - | 21 |
| Pandey et al. (2009) | [ | Cross sectional | 751 | India | 15–45 | 17.6 | - | - | - | - | - | 17 |
| Awusi et al. (2009) | [ | Cross sectional | 400 | Nigeria | 15–43 | 36 | 31 | - | 11 | - | 58 | 17 |
| Islam and Dey (2013) | [ | Mixed method | 87 | Bangladesh | 14–40 | 73.78 | 71.12 | 42.22 | 4.44 | 24.45 | - | 18 |
| Deuba et al. (2016) | [ | Qualitative | 20 | Nepal | 23–24 | - | 100 | 60 | 30 | - | - | 19 |
| Nasrullah et al. (2015) | [ | Qualitative | 19 | Pakistan | 21–34 | - | 89.5 | 68.4 | 42.1 | - | - | 19 |
| Ghosh (2015) | [ | Qualitative | 52 | India | 20–46 | - | 53.8 | - | - | - | - | 16 |
Social determinants of domestic violence in women living in slum
| Author (yr) | Ref. | Study region | Social determinants of domestic violence |
|---|---|---|---|
| Dasgupta et al. (2019) | [ | India | Not reported |
| Gibbs et al. (2018) | [ | South African | Not reported |
| Chowdhury et al. (2018) | [ | Bangladesh | Age at marriage, number of family members, wealth index |
| Pal et al. (2017) | [ | India | Women belonging to families with low per capita income, low educational background of husband, not able to bear a male child, unemployment amongst both the spouses, leave the household on any pretext without prior permission from husband, wives did not attend household activities properly |
| Mohapatra and Mistry (2017) | [ | India | Alcohol addiction, illeteracy of husband, dowry related problem, not having a male child, not cooking properly, talking with neighbors |
| Khayat et al. (2017) | [ | Iran | Fear about destroying the relationship |
| Silverman et al. (2016) | [ | India | Gender inequity (nutritional deprivation, deprivation of sleep, blocking access to health care during pregnancy) |
| Sathe and Holcambe (2016) | [ | India | Not cooking properly, not attending to households, not having a male child, dowry related problem, alcoholic addiction of husbands |
| Parvin et al. (2016) | [ | Bangladesh | Injured needed health care, verbal dispute, perceived disobedience of the woman, without any particular reason |
| Muthengi et al. (2016) | [ | Kenya | Patriarchal gender norms, poverty, female employment, financial conflicts |
| Donta et al. (2016) | [ | India | Not empowered women in decision making, justifying wife beating |
| Swahn et al. (2015) | [ | Uganda | Self-monitoring at night, hunger, drunkenness, sadness |
| Dasgupta et al. (2015) | [ | India | Alcohol abuse by the spouse, level of education of the spouse, per capita income and occupation of the women, argument with the spouse, spouse disliking the cooked food, neglecting the children according to the spouse, talking to unrelated male |
| Begum et al. (2015) | [ | India | Husband consumed alcohol, women who justified wife beating, married before attaining 18 years, illiterate women, marital duration was more than 5 years, women belonging to SC/ST, working, having more than one child |
| Barman et al. (2015) | [ | India | Low socio-economic status (financial hardship), infidelity |
| Hiremath and Debaje (2014) | [ | India | Younger age, increases depression score, maladaptive behaviour in the adolescent population |
| Gaikwad and Rao (2014) | [ | India | Age, illiterate, lower socio-economic status, -unemployed (less than 18), duration of marriage (5–10 years), education of husband (illiterate), type of family (nuclear) |
| Shrivastava and Shrivastava (2013) | [ | India | Age, education, spousal alcoholism, duration of marriage |
| Kambli et al. (2013) | [ | India | Age group 26–35 years, illiterate |
| Fawole et al. (2013) | [ | Nigeria | Lower knowledge levels, low egalitarian attitudes |
| Das et al. (2013) | [ | India | Justifiable if a woman disrespected her in-laws, argued with her husband, failed to provide good food, housework and childcare, went out without permission |
| Sinha et al. (2012) | [ | India | Alcohol addiction, multiple sex partners |
| Sambisa et al. (2011) | [ | Bangladesh | Age (19 years or less), illiterate, poor household wealth, number of children |
| Bhatta et al. (2018) | [ | Nepal | Substance abuse, lack of economic stability, doing things that inlaws don’t like, not doing household chores properly, going out without permission, talking to male friends, refusal of sex, extramarital affair of husband, lack of legal implication |
| Pandey et al. (2009) | [ | India | Level of education, unemployment, low family income per month, alcohol and other psychotropic substances, extramarital relations, frequenting red light districts |
| Awusi et al. (2009) | [ | Nigeria | Age (26–30) |
| Islam and Dey (2013) | [ | Bangladesh | No income, illiterate, dowry demand, extra marital relationship of husband, marital conflict/inconsistency, financial insolvency, drug addiction of husbands, unknown reasons |
| Deuba et al. (2016) | [ | Nepal | Refused to have sex, gave birth to a girl, alcohol use disorder |
| Nasrullah et al. (2015) [ | |||
| Ghosh (2015) | [ | India | Poor women |
SC/ST, scheduled caste/scheduled tribe.