Skip to main content

The effect of domestic violence on cardiovascular risk

Abstract

The prevalence of metabolic risk factors that contribute to cardiovascular diseases (CVD), such as hypertension and high plasma glucose levels has seen a substantial increase globally. Violence elevates stress and increases CVD risk and yet, there is sparse evidence on the relationship between domestic violence and CVD risk factors. This study presents new empirical evidence by leveraging biomarker data from a large nationally representative survey. I find (i) a consistent positive effect of physical violence on prevalence of hypertension amongst women, (ii) a positive effect of emotional and sexual violence on prevalence of hypertension amongst women, (iii) No discernible effects of perpetrating domestic violence on CVD risk, for the men in these relationships.

This is a preview of subscription content, access via your institution.

Fig. 1
Fig. 2

Notes

  1. Cardiovascular diseases (CVDs) are a group of disorders of the heart and blood vessels and they include: coronary heart disease—disease of the blood vessels supplying the heart muscle; cerebrovascular disease—disease of the blood vessels supplying the brain; peripheral arterial disease—disease of blood vessels supplying the arms and legs; rheumatic heart disease—damage to the heart muscle and heart valves from rheumatic fever, caused by streptococcal bacteria; congenital heart disease—malformations of heart structure existing at birth; deep vein thrombosis and pulmonary embolism—blood clots in the leg veins, which can dislodge and move to the heart and lungs.

  2. Due to the contextual background (Section 2 provides an overview) and data limitations, in this paper, domestic violence is defined as physical violence by the man towards a woman in a cohabiting relationship.

  3. Menon (2020) shows that the price of gold at the time of marriage has an effect on domestic violence through initial marital endowments. Section 4 discusses the appropriateness and validity of this instrument in detail.

  4. Cortisol is a stress hormone that helps fuel your body,s ‘fight-or-flight’ instinct in a crisis. Is also keeps inflamation down, regulates blood pressure, and blood sugar.

  5. Bhalotra, Chakravarty and Gulesci (2020) has also found that motivated by dowry costs, monthly changes in gold prices lead to an increase in girl relative to boy neonatal mortality.

  6. There might be a concern that the price of gold at the time of marriage might in some way affect the wealth of the household. Menon (2020) show that conditional on price of gold at the time of survey, the effect of price of gold at the time of marriage on domestic violence persists. Furthermore, anthropological evidence.

  7. For instance, gold is seen as a sign of prosperity and traditionally considered an asset to be passed on as inheritance.

  8. Using the 2015–2016 Indian DHS data, Weitzman and Goosby (2021) also do not find a significant association between domestic violence perpetration and blood glucose levels in men.

References

  • Aizer, A. (2011). Poverty, violence, and health the impact of domestic violence during pregnancy on newborn health. Journal of Human Resources, 46, 518–538.

    Article  Google Scholar 

  • Alhalal, E., & Falatah, R. (2020). Intimate partner violence and hair cortisol concentration: a biomarker for hpa axis function. Psychoneuroendocrinology, 122, 104897.

    Article  Google Scholar 

  • Amaral, S., Bhalotra, S. R., Prakash, N. et al. Gender, crime and punishment: Evidence from women police stations in India. Tech. Rep., Boston University—Department of Economics (2019).

  • Anderson, S., & Genicot, G. (2015). Suicide and property rights in India. Journal of Development Economics, 114, 64–78.

    Article  Google Scholar 

  • Anderson, T. W., & Rubin, H. (1949). Estimation of the parameters of a single equation in a complete system of stochastic equations. The Annals of Mathematical Statistics, 20, 46–63.

    Article  Google Scholar 

  • Ang, D. (2021). The effects of police violence on inner-city students. The Quarterly Journal of Economics, 136, 115–168.

    Article  Google Scholar 

  • Baumgartner, J. et al. (2014). Highway proximity and black carbon from cookstoves as a risk factor for higher blood pressure in rural china. Proceedings of the National Academy of Sciences, 111, 13229–13234.

    Article  Google Scholar 

  • Benzeval, M., Davillas, A., Kumari, M., & Lynn, P. Understanding society: the uk household longitudinal study biomarker user guide and glossary. Institute for Social and Economic Research, University of Essex (2014).

  • Bhalotra, S., Chakravarty, A., & Gulesci, S. (2020). The price of gold: Dowry and death in india. Journal of Development Economics, 143, 102413.

    Article  Google Scholar 

  • Bloch, F., & Rao, V. (2002). Terror as a bargaining instrument: A case study of dowry violence in rural india. American Economic Review, 92, 1029–1043.

    Article  Google Scholar 

  • Blyth, C. R. (1972). On simpson’s paradox and the sure-thing principle. Journal of the American Statistical Association, 67, 364–366.

    Article  Google Scholar 

  • Breiding, M. J., Black, M. C., & Ryan, G. W. (2008). Chronic disease and health risk behaviors associated with intimate partner violence-18 us states/territories, 2005. Annals of Epidemiology, 18, 538–544.

    Article  Google Scholar 

  • Bulte, E., & Lensink, R. (2019). Women’s empowerment and domestic abuse: Experimental evidence from Vietnam. European Economic Review, 115, 172–191.

    Article  Google Scholar 

  • Chandan, J. S. et al. (2020). Risk of cardiometabolic disease and all-cause mortality in female survivors of domestic abuse. Journal of the American Heart Association, 9, e014580.

    Article  Google Scholar 

  • Chopra, H., & Ram, C. V. S. (2019). Recent guidelines for hypertension: a clarion call for blood pressure control in india. Circulation Research, 124, 984–986.

    Article  Google Scholar 

  • Clarke, D., & Matta, B. (2018). Practical considerations for questionable ivs. The Stata Journal, 18, 663–691.

    Article  Google Scholar 

  • Conley, T. G., Hansen, C. B., & Rossi, P. E. (2012). Plausibly exogenous. Review of Economics and Statistics, 94, 260–272.

    Article  Google Scholar 

  • Davillas, A., & Pudney, S. (2017). Concordance of health states in couples: analysis of self-reported, nurse administered and blood-based biomarker data in the uk understanding society panel. Journal of Health Economics, 56, 87–102.

    Article  Google Scholar 

  • Devries, K. M. et al. (2013). Intimate partner violence and incident depressive symptoms and suicide attempts: a systematic review of longitudinal studies. PLoS Medicine, 10, e1001439.

    Article  Google Scholar 

  • Eswaran, M., & Malhotra, N. (2011). Domestic violence and women’s autonomy in developing countries: Theory and evidence. Canadian Journal of Economics/Revue Canadienne d’Economique, 44, 1222–1263.

    Article  Google Scholar 

  • Ezzati, M. et al. (2005). Rethinking the “diseases of affluence" paradigm: global patterns of nutritional risks in relation to economic development. PLoS Medicine, 2, e133.

    Article  Google Scholar 

  • Fadlon, I., & Nielsen, T. H. (2019). Family health behaviors. American Economic Review, 109, 3162–91.

    Article  Google Scholar 

  • Gakidou, E., et al. (2017). Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2016: a systematic analysis for the global burden of disease study 2016. The Lancet, 390, 1345–1422.

    Article  Google Scholar 

  • Geldsetzer, P. et al. (2018). Geographic and sociodemographic variation of cardiovascular disease risk in india: A cross-sectional study of 797,540 adults. PLoS Medicine, 15, e1002581.

    Article  Google Scholar 

  • Ghosh, K., Dhillon, P., & Agrawal, G. (2020). Prevalence and detecting spatial clustering of diabetes at the district level in india. Journal of Public Health, 28, 535–545.

    Article  Google Scholar 

  • Golding, J. M. (1999). Intimate partner violence as a risk factor for mental disorders: A meta-analysis. Journal of Family Violence, 14, 99–132.

    Article  Google Scholar 

  • Gupta, R., Gaur, K., & Ram, C. V. S. (2019). Emerging trends in hypertension epidemiology in india. Journal of Human Hypertension, 33, 575–587.

    Article  Google Scholar 

  • Harris, M. L. et al. (2017). Stress increases the risk of type 2 diabetes onset in women: A 12-year longitudinal study using causal modelling. PloS One, 12, e0172126.

    Article  Google Scholar 

  • Holman, E. A., Garfin, D. R., & Silver, R. C. (2014). Media’s role in broadcasting acute stress following the boston marathon bombings. Proceedings of the National Academy of Sciences, 111, 93–98.

    Article  Google Scholar 

  • IIPS and ICF. National Family Health Survey, (NFHS-3, NFHS-4), India Dataset. (2017).

  • International Institute for Population Sciences (IIPS) and ICF. National family health survey (nfhs-4), 2015-16: India. Tech. Rep. (2017). https://dhsprogram.com/pubs/pdf/FR339/FR339.pdf.

  • Iyer, L., Mani, A., Mishra, P., & Topalova, P. (2012). The power of political voice: women’s political representation and crime in india. American Economic Journal: Applied Economics, 4, 165–93.

    Google Scholar 

  • Johnson, D. M., Delahanty, D. L., & Pinna, K. (2008). The cortisol awakening response as a function of ptsd severity and abuse chronicity in sheltered battered women. Journal of Anxiety Disorders, 22, 793–800.

    Article  Google Scholar 

  • Johnston, D. W., Propper, C., & Shields, M. A. (2009). Comparing subjective and objective measures of health: Evidence from hypertension for the income/health gradient. Journal of Health Economics, 28, 540–552.

    Article  Google Scholar 

  • Law, M., Wald, N., & Morris, J. (2003). Lowering blood pressure to prevent myocardial infarction and stroke: a new preventive strategy. Health Technology Assessment, 7, 1–94.

    Article  Google Scholar 

  • Lee, D. S., McCrary, J., Moreira, M. J., & Porter, J. R. Valid t-ratio inference for iv. Tech. Rep., National Bureau of Economic Research (2021).

  • Lee, J. et al. Markers and drivers: Cardiovascular health of middle-age and older indians (2011).

  • Lindman, R., von der Pahlen, B., Öst, B., & Eriksson, C. P. (1992). Serum testosterone, cortisol, glucose, and ethanol in males arrested for spouse abuse. Aggressive Behavior, 18, 393–400.

    Article  Google Scholar 

  • Liu, B., Tarigan, L. H., Bromet, E. J., & Kim, H. (2014). World trade center disaster exposure-related probable posttraumatic stress disorder among responders and civilians: a meta-analysis. PloS One, 9, e101491.

    Article  Google Scholar 

  • Liu, M.-Y., Li, N., Li, W. A., & Khan, H. (2017). Association between psychosocial stress and hypertension: a systematic review and meta-analysis. Neurological Research, 39, 573–580.

    Article  Google Scholar 

  • Marmot, M. G., Shipley, M. J., & Rose, G. (1984). Inequalities in death-specific explanations of a general pattern? The Lancet, 323, 1003–1006.

    Article  Google Scholar 

  • Mason, S. M. et al. (2012). Intimate partner violence and incidence of hypertension in women. Annals of Epidemiology, 22, 562–567.

    Article  Google Scholar 

  • Mason, S. M. et al. (2013). Intimate partner violence and incidence of type 2 diabetes in women. Diabetes Care, 36, 1159–1165.

    Article  Google Scholar 

  • Menon, S. (2020). The effect of marital endowments on domestic violence in india. Journal of Development Economics, 143, 102389.

    Article  Google Scholar 

  • Mukherjee, P., Mukherjee, V., & Das, D. (2017). Estimating elasticity of import demand for gold in india. Resources Policy, 51, 183–193.

    Article  Google Scholar 

  • Narayanan, P., Gopalakrishnan, B., & Sahay, A. (2020). Understanding the government’s attempt to transform attitudes towards a critical resource: Gold monetization in india. Resources Policy, 66, 101600.

    Article  Google Scholar 

  • Newey, W. K. (1987). Efficient estimation of limited dependent variable models with endogenous explanatory variables. Journal of Econometrics, 36, 231–250.

    Article  Google Scholar 

  • O’Neil, A., & Scovelle, A. J. (2018). Intimate partner violence perpetration and cardiovascular risk: a systematic review. Preventive Medicine Reports, 10, 15–19.

    Article  Google Scholar 

  • Patel, S. A. et al. (2017). Chronic disease concordance within indian households: A cross-sectional study. PLoS Medicine, 14, e1002395.

    Article  Google Scholar 

  • Rawlings, S., & Siddique, Z. Domestic violence and child mortality in the developing world. Oxford Bulletin of Economics and Statistics (2020).

  • Roerecke, M. et al. (2017). The effect of a reduction in alcohol consumption on blood pressure: a systematic review and meta-analysis. The Lancet Public Health, 2, e108–e120.

    Article  Google Scholar 

  • Saarela, J., Stanfors, M., & Rostila, M. (2019). In sickness or in health? register-based evidence on partners’ mutual receipt of sickness allowance and disability pension. Social Science & Medicine, 240, 112576.

    Article  Google Scholar 

  • Sabia, J. J., Dills, A. K., & DeSimone, J. (2013). Sexual violence against women and labor market outcomes. American Economic Review, 103, 274–78.

    Article  Google Scholar 

  • Sekhri, S., & Storeygard, A. (2014). Dowry deaths: Response to weather variability in india. Journal of Development Economics, 111, 212–223.

    Article  Google Scholar 

  • Somannavar, S., Ganesan, A., Deepa, M., Datta, M., & Mohan, V. (2009). Random capillary blood glucose cut points for diabetes and pre-diabetes derived from community-based opportunistic screening in india. Diabetes Care, 32, 641–643.

    Article  Google Scholar 

  • Sparrenberger, F., Fuchs, S. C., Moreira, L. B., & Fuchs, F. D. (2008). Stressful life events and current psychological distress are associated with self-reported hypertension but not with true hypertension: results from a cross-sectional population-based study. BMC Public Health, 8, 357.

    Article  Google Scholar 

  • Staiger, D. O., & Stock, J. H. Instrumental variables regression with weak instruments (1994).

  • Stene, L. E., Jacobsen, G. W., Dyb, G., Tverdal, A., & Schei, B. (2013). Intimate partner violence and cardiovascular risk in women: a population-based cohort study. Journal of Women’s Health, 22, 250–258.

    Article  Google Scholar 

  • Stock, J. H., & Yogo, M. Testing for weak instruments in linear iv regression. Technical Report, National Bureau of Economic Research (2002).

  • Stock, J. H., & Yogo, M. Testing for weak instruments in linear iv regression. Identification and Inference for Econometric Models: Essays in Honor of Thomas Rothenberg 80 (2005).

  • Straus, M., Hamby, S., Boney-McCoy, S., Sugarman, D., & Finkelhor, D. Conflict tactics scales (cts) (1973).

  • Susairaj, P. et al. (2019). Cut-off value of random blood glucose among asian indians for preliminary screening of persons with prediabetes and undetected type 2 diabetes defined by the glycosylated haemoglobin criteria. Journal of Diabetes and Clinical Research, 1, 53.

    Google Scholar 

  • Thompson, R. R., Jones, N. M., Holman, E. A., & Silver, R. C. (2019). Media exposure to mass violence events can fuel a cycle of distress. Science Advances, 5, eaav3502.

    Article  Google Scholar 

  • Trowell, H. C. & Burkitt, D. P. Western diseases, their emergence and prevention (Harvard University Press, 1981).

  • Weitzman, A., & Goosby, B. J. (2021). Intimate partner violence, circulating glucose, and non-communicable disease: Adding insult to injury? SSM-Population Health, 13, 100701.

    Article  Google Scholar 

  • Yan, Z., Liu, Y., Yin, Q., & Qiu, M. (2016). Impact of household solid fuel use on blood pressure and hypertension among adults in china. Air Quality, Atmosphere & Health, 9, 931–940.

    Article  Google Scholar 

  • Yim, I. S., & Kofman, Y. B. (2019). The psychobiology of stress and intimate partner violence. Psychoneuroendocrinology, 105, 9–24.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Seetha Menon.

Ethics declarations

Conflict of interest

The author declares no competing interests.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Menon, S. The effect of domestic violence on cardiovascular risk. Rev Econ Household (2022). https://doi.org/10.1007/s11150-022-09634-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11150-022-09634-6

Keywords

  • Cardiovascular risk
  • Domestic violence
  • Hypertension
  • Diabetes

JEL classification

  • I12
  • I14
  • J12
  • J16