The current study compares female victims of intimate partner violence (IPV) who were and were not victimized during pregnancy. Victims of pregnancy violence are more likely to report having experienced all forms of violence, particularly severe forms, and have higher odds of experiencing several postviolence indicators of severity and adverse health consequences. The significance of predictors disappears in a post hoc analysis controlling for proxies of battering behavior (i.e., repeated and severe violence), suggesting that victims who experience violence during pregnancy may be more likely to be in a current intimate relationship with an abuser who inflicts repeated and severe IPV.

The purpose of the study was to shed light on the potentially differing dynamics of violence against separated and divorced women by their ex-husbands and violence against married women by their current husbands. Using a nationally representative sample of 7,369 heterosexual women from Cycle 13 of Statistics Canada's General Social Survey, available risk markers were examined in the context of a nested ecological framework. Separated women reported nine times the prevalence of violence and divorced women reported about four times the prevalence of violence compared with married women. The strongest predictors of violence against married women, namely, patriarchal domination, sexual jealousy, and possessiveness, were not significant predictors of violence against separated and divorced women. This suggested that post-separation violence is a complex phenomenon the dynamics of which can be affected by much more than domination and ownership.

Cardiovascular disease (CVD) and cancer are two leading causes of death worldwide. CVD and cancer share risk factors such as obesity and diabetes mellitus and have common diagnostic biomarkers such as interleukin-6 and C-reactive protein. Thus, timely and accurate diagnosis of these two correlated diseases is of high interest to both the research and healthcare communities. Most conventional methods for CVD and cancer biomarker detection such as microwell plate-based immunoassay and polymerase chain reaction often suffer from high costs, low test speeds, and complicated procedures. Recently, lab-on-a-chip (LoC)-based platforms have been increasingly developed for CVD and cancer biomarker sensing and analysis using various molecular and cell-based diagnostic biomarkers. These new platforms not only enable better sample preparation, chemical manipulation and reaction, high-throughput and portability, but also provide attractive features such as label-free detection and improved sensitivity due to the integration of various novel detection techniques. These features effectively improve the diagnostic test speed and simplify the detection procedure. In addition, microfluidic cell assays and organ-on-chip models offer new potential approaches for CVD and cancer diagnosis. Here we provide a mini-review focusing on recent development of LoC-based methods for CVD and cancer diagnostic biomarker measurements, and our perspectives of the challenges, opportunities and future directions.

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