The impact of trauma on mental health and violence in Ukraine
Vikory's regression models revealed links between reports of an influx of disasters (for example, war, genocide) and symptoms of depression. Individuals who have experienced stress before their health are more likely to report symptoms of depression.
Рубрика | Медицина |
Вид | статья |
Язык | английский |
Дата добавления | 17.06.2024 |
Размер файла | 29,9 K |
Отправить свою хорошую работу в базу знаний просто. Используйте форму, расположенную ниже
Студенты, аспиранты, молодые ученые, использующие базу знаний в своей учебе и работе, будут вам очень благодарны.
Размещено на http://www.allbest.ru
The impact of trauma on mental health and violence in Ukraine
trauma mental health violence
Timmer A., PhD. (Sociology), Assistant Professor, department of criminology and justice studies, California State University, Northridge, USA
Iesue L., PhD. (Sociology), Assistant Professor, department of criminal justice & criminology, Sam Houston State University, Huntsville
During the past couple of years, Ukrainians have been experiencing major traumatic and stressful events, including the Russian annexation of Crimea and the war against Ukraine that started in 2014 and is ongoing. Moreover, in 2020, the whole world faced another disaster -- the COVID-19 pandemic. Undoubtedly, such cumulative adverse events negatively influence life outcomes of this vulnerable population. Prior research has shown that pandemic and war-related stress can affect mental health and violent behaviour. However, there is a gap in the literature focusing on how various contemporary traumatic events, including war exposure and associated stressors, shape mental health and violence among Ukrainians. This study uses survey data recently collected among adults in Ukraine, which is a part of the larger project “A Cross-National Study of the Global Pandemic, Deviance and Health, " and conducts a series of regression analyses. It draws on two major theoretical perspectives in criminology and medical sociology, to examine how traumatic conditions, including exposure to war and pandemic-related stressors (contracting the virus and daily problems) influence depression and violence among Ukrainian people. First, using regression models, we found a significant relationship between reporting exposure to disasters (e.g., war, genocide) and depressive symptoms. Additionally, we found that those who experienced health stress (i.e., have contracted the virus) were more likely to report depressive symptoms. Further, Ukrainians reporting more family problems and financial issues experienced higher levels of depression. Next, we found that reporting frequent family problems and financial issues increased the likelihood of violent behaviour among Ukrainian residents. On the other hand, health stress and war exposure reports were not significantly associated with violence, which could potentially be attributed to stress reaching a ceiling effect, where Ukrainians may feel “numb " to traumatic conditions they experience routinely. Finally, we provide suggestions for future research and discuss implications for policy and practice.
Keywords: stress, trauma, depression, violence, war, Russian invasion, pandemic, Ukraine.
Тіммер A., канд. соціол. наук, доцент факультету кримінології та правосуддя Каліфорнійського університету, Нортридж, Каліфорнія, США
Ішью Л., канд. соціол. наук, доцент факультету правосуддя та кримінології Сем Хюстонського Університету, Хантсвіль, Техас
ВПЛИВ ТРАВМИ НА ПСИХОЛОГІЧНЕ ЗДОРОВ'Я ТА НАСИЛЬСТВО В УКРАЇНІ
Протягом останніх кількох років українці пережили серйозні травматичні та стресові події, зокрема російську анексію Криму та війну проти України, яка розпочалась у 2014 р. та досі триває. Крім того, у 2020 р. весь світ зіткнувся з ще однією проблемою -- пандемією COVID-19. Такі кумулятивні несприятливі події негативно впливають на життя українського населення. Попередні дослідження показали, що стрес, пов 'язаний з пандемією та конфліктом, може впливати на психологічне здоров'я та насильницькі дії. Проте в літературі наявна прогалина щодо того, як різноманітні сучасні травматичні події (катастрофи та пов'язані з ними стресори тощо), впливають на психологічне здоров'я та насильство серед українців. У цьому дослідженні використовуються дані опитування серед повнолітніх українців, яке є частиною більшого проєкту “Міжнаціональне дослідження глобальної пандемії, девіантних поведінок і здоров 'я ”, і проводиться серія кількісних регресійних аналізів. Це дослідження спирається на дві теорії в кримінології та медичній соціології, щоб дослідити, як травматичні умови (зокрема, вплив війни) і стресові фактори, пов'язані з пандемією (зараження вірусом і щоденні проблеми), впливають на депресію та насильство серед українців. Використовуючи регресійні моделі, ми виявили зв'язок між повідомленнями про вплив катастроф (наприклад, війни, геноциду) та симптомами депресії. Особи, які пережили стрес щодо їхнього здоров'я (заразились вірусом), частіше повідомляють про симптоми депресії. Крім того, українці, які повідомляють про більший рівень сімейних проблем і фінансових проблем, відчувають більший рівень депресії. Виявлено, що наявність сімейних і фінансових проблем підвищує ймовірність насильницької поведінки серед жителів України. Водночас стрес щодо здоров'я та повідомлення переживання війни не пов'язані з насильством. Це потенційно можна пояснити тим, що стрес, можливо, досягає “ефекту стелі”, коли українці відчувають себе “онімілими” до травматичних умов, які вони переживають регулярно. Надаємо пропозиції щодо майбутніх досліджень і обговорюємо ідеї для вирішення проблем, пов 'язаних зі стресом і травмою.
Ключові слова: стрес, травма, депресія, насильство, війна, російське вторгнення, пандемія, Україна.
Ukraine has experienced numerous traumatic and stressful conditions for the past couple of years. In 2014, Russia invaded Ukraine's Crimean Peninsula and started a war against Ukraine [1; 2]. This war displaced about 1,5 million people and tens of thousands of deaths and injuries Council on Foreign Relations. (2021). Global Conflict Tracker. URL: https://www.cfr.org/global-conflict- tracker/conflict/conflict-ukraine^ With barely enough money for food, conflict-displaced Ukrainians struggling to survive - UN. (2017). United Nations. URL: https://news.un.org/en/story/2017/05/557412- barely-enough-money-food-conflict-displaced-ukrainians-struggling-survive-un.
As the war of Russia against Ukraine continued, Ukraine faced a global public health emergency - the COVID-19 pandemic. In addition to its negative health impact, the global pandemic has changed people's daily routines, instilled constant s tress, and even affected violent and deviant behaviours [3]. In Ukraine, the pandemic had a “magnifying” effect (in addition to war) on the health and well-being of the population [4]. Unfortunately, the Ukrainian healthcare system has been underfinanced and lacked resources to fully address the physical and mental health needs of Ukrainians [5].
Most recently, on February 24, 2022, the war escalated into a full-scale Russian invasion of Ukraine that involved mass killings and continuous missile attacks across Ukraine. According to United Nations official data, as of September 11, 2023, the full-scale invasion has caused the death of over 27,000 civiliansUkraine: Civilian casualty update 11 September 2023. (2023). UNHR. URL: https://www.ohchr.org/ en/news/2023/09/ukraine-civilian-casualty-update-11-september-2023. An estimated 6,2 million people had to flee Ukraine, and 5,1 million have been internally displaced [6]. Research has found that individuals in Ukraine experience continuous victimization and various daily challenges, including financial issues, family conflict, prejudice, and others [7; 8]. Moreover, due to destroyed or overcrowded hospitals, many individuals currently cannot receive medical attention [9].
Recent research has emphasized the detrimental effects of war and violence exposure on mental and physical health, beliefs, and behaviours among combatants and veterans [1; 10; 11]. However, little is known about the behavioural consequence of war exposure among civilians in contemporary war-torn societies [11]. Moreover, studies on how multiple traumatic and stressful experiences shape mental health and violent behaviour among Ukrainian civilians during the most recent Russian full-scale invasion are practically non-existent. We use data from a recently launched international survey, “A Cross-National Study of the Global Pandemic, Deviance and Health” and draw on two major criminological and medical sociology perspectives, general strain theory and the stress-process paradigm, to analyze how major traumatic and stressful life events such as war exposure and pandemic-related stress - have shaped mental health and violent behaviour among civilians in Ukraine. Understanding the risk factors for health and behavioural issues will allow us to develop more nuanced and theoretically- and evidence-based programs and policies assisting this vulnerable population.
The stress process model: stress and mental health. Pearlin and colleagues developed the stress process model, which outlines the relationship between major stressful events and mental health outcomes [12]. This model suggests that adverse life events and conditions such as economic issues, family conflict and others can be conceptualized as stressors that restructure daily lives and negatively influence individuals' mental and physical health [12; 13]. Consistent with this paradigm, war and pandemic exposures can be understood as major stressors that tend to restructure people's daily routines and instil additional aversive conditions [14; 15]. For example, during both war and the pandemic, people feel constant threat to health and safety and may experience numerous daily hassles ranging from individual frustrations to major life-threatening events.
Prior research has supported the link between the COVID-19 pandemic and mental health issues, including depression, anxiety, psychological distress, and worsening psychiatric conditions [16; 17]. In addition, studies have found that exposure to war negatively affects mental health and depression in particular [15; 18; 19]. Importantly, however, there is a gap in the literature empirically assessing how war exposure and pandemic-related stress shape depression among Ukrainians during the ongoing full-scale Russian invasion of Ukraine.
The general strain theory: stress and violence. The General Strain Theory (GST) in criminology suggests that people can experience strain/stress when exposed to major adverse events, which, in turn, may lead to negative emotions and crime/violence as a coping strategy [20; 21]. Consistent with GST, individuals in Ukraine, a country that suffers from war and the global pandemic, can experience various strains such as the inability to receive education or find employment (i.e., failure to achieve positively valued stimuli), family conflict and financial issues (i.e., presentation of negative stimuli), and loss of loved ones or property (i.e., removal of positive stimuli). Together, these experiences can push individuals to try to “fix” strain or emotions associated with it, and violent outbursts can be one such coping strategy [21]. Violent behaviour to cope with stress is especially likely if individuals can not engage in normative behavioural strategies like seeking social support [21].
Recent research has linked war exposure and violent behaviour [22; 23]. For example, Timmer and colleagues have conducted the first study addressing the war exposure-violence link among civilians in Ukraine [23]. They have found that direct (e.g., being present at a war site) and indirect (e.g., watching the news) war exposure increases the likelihood of violence in Lviv and Kharkiv. Focusing on another global disaster, the COVID-19 pandemic, several studies have found that pandemic-related stress (physical, social, and economic stressors) increases intimate partner violence among adults in the United States [24; 25]. Research has also shown that domestic and intimate partner violence has increased in Ukraine during the pandemic likely due to individuals spending more time at home, where they can become more vulnerable to their abusers [26]. Additionally, different kinds of violence have increased during the war against Ukraine as individuals have been limited in their ability to escape, contact their loved ones, or reach the necessary government organizations to get help [27]. However, there are still gaps in the literature addressing empirically how important trauma-related predictors, including perceptions of war exposure and pandemic stressors, influence violent behaviour in Ukraine.
Present study and hypotheses. This study focuses on how major stressors related to multiple disasters in Ukraine shape important health and behavioural life outcomes. Specifically, this study aims to assess how traumatic conditions, including exposure to war and pandemic-related stressors (contracting the virus and daily problems), influence depression and violence. Overall, the study tests the following hypotheses:
Hypotheses 1-4. Contracting the COVID-19 virus (1), experiencing higher levels of family problems (2) and financial problems (3), and reporting exposure to war (4) are associated with higher levels of depression.
Hypotheses 5-8. Contracting the COVID-19 virus (5), experiencing higher levels of family problems (6) and financial problems (7), and reporting exposure to war (8) are associated with higher levels of violent behaviour.
Data and Methods. The research team used data from the international online survey “A Cross-National Study of the Global Pandemic, Deviance and Health” to test the hypotheses mentioned above. This study aimed to better understand important health and behavioural outcomes among adults cross-nationally during the COVID-19 pandemic. This study took place between November 2021 and September 2022 and involved surveying anonymously online via Google Forms adults across six countries: Ukraine, Guatemala, the United States, Denmark, the Netherlands, and Pakistan. The study's authors are professors from Sam Houston State University and California State University, Northridge. In addition to the primary team, Socioinform, a reputable Ukraine-based research organization, was contracted to assist with sharing and distributing the survey online among Ukrainian respondents Socioinform. URL: https://socioinform.com/en. Respondents were asked about their experiences in public health emergencies, violence, health-related outcomes, beliefs, and other essential domains of life. The questionnaire included items used and validated in prior research in Ukraine [14; 15; 23] and new measures not comprehensively operationalized in past research.
The US Institutional Review Board (IRB) reviewed and approved this research. Those 18 years old or older who resided anywhere within Ukraine were eligible to participate in the study. The questionnaire was written in English and then translated into Ukrainian by researchers fluent in both languages. The survey was pretested among Ukrainian adults and then revised based on those pretests prior to launching the full-scale study. The team used non-randomized and snowball sampling techniques to collect data; importantly, however, the researchers took steps to ensure that participants from different age groups, genders, and other demographics were included in the study, as well as that their demographics were relatively similar to census population characteristics of Ukraine. The research team advertised and shared the survey via group emails, messaging, social media, posters, and other similar means. The total analytic sample consisted of 773 respondents in Ukraine.
Measures and analytic strategy. Dependent variables. Our dependent variables of interest are depression and violent behaviour. Depression was measured using the commonly used scale [28]. Respondents were asked to report the extent to which they experienced any of the following in the past two weeks: 1) little interest or pleasure in doing things; 2) feeling low, depressed or hopeless; 3) trouble falling or staying asleep or sleeping too much; 4) feeling tired or having little energy; 5) poor appetite or overeating; 6) feeling bad about themselves - or that they are a failure or have let themselves or their family down; 7) trouble concentrating on things, such as reading the newspaper or watching television; 8) moving or speaking so slowly that other people could have noticed, or the opposite - being so fidgety or restless that they have been moving around a lot more than usual; and 9) thoughts that they would be better off dead, or hurting themselves in some way. Response ranged from 1 (not at all) to 4 (a very great degree) and were added together into an index, where higher scores indicated higher levels of depression (a = 0,90). Violent behaviour was measured by asking respondents the frequency of engaging in three violent acts since the pandemic started: 1) hitting another person when being emotional; 2) threatening to harm another person; 3) physically harming another person. Responses ranged from 0 (never) to 4 (very often) and were added together to represent the index of violent behaviour (a = 0,84).
Independent variables. We incorporated several variables reflecting commonly experienced traumatic or stressful conditions since the pandemic. First is health stress, measured by asking respondents whether they have contracted the COVID-19 virus (1 = yes; 0 = no). Further, family problems were measured by asking respondents about the frequency of having problems with family members since the start of the COVID-19 pandemic, and financial issues were measured by asking respondents about the frequency of having financial problems since the start of the COVID-19 pandemic. Responses for both items ranged from 1 (never) to 5 (very often). Finally, disaster exposure was measured by asking respondents whether they had experienced a human disaster before, such as war, genocide, earthquake, flood, or another major disaster (1 = yes, 0 = no).
Control variables. We included various sociodemographic factors as control variables. Gender was recoded to 1 = male and 0 = female; age was measured in years. We also controlled for marital status, where 1 = married and 0 = another situation; employment, where 1 = employed full-time and 0 = another situation, and education level, which ranged from 1 (incomplete high school/secondary education) to 5 (graduate degree). Finally, socioeconomic status (SES) was measured by asking respondents to rate their financial status compared to others. Responses ranged from 1 (much worse off) to 5 (much better off).
Analytic strategy. First, we used ordinary least squares (OLS) regression to examine the influence of our predictors of interest on depression. Further, given violent behaviour has a skewed distribution, we used the commonly applied negative binomial regression in models predicting violence [23; 29]. Variance inflation factors (VIFs) in all the models were less than 2, which ruled out multicollinearity [30].
Results. Descriptive statistics of the study variables are presented in Table 1. Our sample consists of 44,6% male participants. The average age is roughly 44 years old. The majority of our respondents are married (51,1%) and employed (75,3%). Further, most respondents indicated that they received at least a technical/vocational educational degree (mean = 3,929) and have overall similar socioeconomic status as others (mean = 2,916). Over 80% of Ukrainians reported exposure to disasters (e.g., war, genocide) and 56,9% reported contracting the COVID-19 virus.
Table 1
Descriptive statistics of study variables |
(N=773) |
||||
Variable |
Mean or % |
SD |
Min |
Max |
|
Depression |
15,677 |
5,355 |
9 |
36 |
|
Violent behaviour |
0,700 |
1,472 |
0 |
10 |
|
Health stress (contracted the virus) |
56,9% |
0,496 |
0 |
1 |
|
Family problems |
2,335 |
1,023 |
1 |
5 |
|
Financial issues |
2,781 |
1,018 |
1 |
5 |
|
Disaster exposure |
80,1% |
0,400 |
0 |
1 |
|
Male |
44,6% |
0,497 |
0 |
1 |
|
Age |
43,722 |
16,020 |
18 |
82 |
|
SES |
2,916 |
0,602 |
1 |
5 |
|
Employed |
75,3% |
0,432 |
0 |
1 |
|
Education |
3,929 |
0,946 |
1 |
5 |
|
Married |
51,1% |
0,500 |
0 |
1 |
Figures in Models 1-4 in Table 2 represent the OLS coefficients that predict depression. Model 1 reveals that health stress or having contracted the COVID-19 virus is significantly and positively associated with depression. Specifically, depressive symptoms are stronger among those who contracted the virus (b = 1,767, p < 0,001). Further, Models 2 and 3 show that experiences of family and financial problems are significantly associated with depression, with a unit increase in family problems resulting in 1,412 units increase in depression (p < 0,001), and a unit increase in financial issues resulting in 1,454 units increase in depression (p < 0,001). Finally, figures in Model 4 reveal that depression is higher among Ukrainians who reported disaster exposure (b = 1,153; p < 0,05). Together, these results provide support for Hypotheses 1 -4. Additionally, findings show that men, those with higher SES, and married individuals experience lower levels of depression compared to their counterparts (Model 1, Table 2).
Models 5-8 in Table 2 reflect the incident rate ratios (IRRs) derived from negative binomial regression predicting violent behaviour. First, results reveal that health stress or having contracted the virus is not significantly associated with violence, and thus, Hypothesis 5 is not supported. On the other hand, both family problems and financial issues are significantly and positively associated with violent behaviour. Specifically, the incident rate ratios (IRRs) indicate that a unit increase in family problems is estimated to result in a 56,2% increase in the likelihood of engaging in violent behaviour (p < 0,001), and a unit increase in financial issues is estimated to result in a 28,4% increase in the likelihood of engaging in violent behaviour (p < 0,01). These findings provide support for Hypotheses 6 and 7. On the other hand, disaster exposure is not significantly associated with violence, providing no support for Hypothesis 8. In addition, men and those with lower socioeconomic status are more likely to engage in violent behaviour (Model 5 in Table 2).
Table 2
OLS and negative binomial regression predicting depression and violent behaviour among Ukrainian adults (N = 773)
Predictors |
a. Depression |
||||
Model 1 |
Model 2 |
Model 3 |
Model 4 |
||
Coef. (SE) |
Coef. (SE) |
Coef. (SE) |
Coef. (SE) |
||
Health stress |
1,767*** (0,375) |
||||
Family problems |
1,412*** (0,196) |
||||
Financial issues |
1,454*** (0,188) |
||||
Crises exposure |
1,153* (0,457) |
||||
Male |
-1,257** (0,376) |
-1,188** (0,367) |
-1,234** (0,365) |
-1,325*** (0,379) |
|
Age |
-0,000 (0,012) |
-0,006 (0,012) |
-0,006 (0,012) |
-0,005 (0,012) |
|
SES |
-1,334*** (0,369) |
-1,044** (0,357) |
-0,631 (0,359) |
-1,236** (0,371) |
|
Employed |
-0,184 (0,456) |
-0,049 (0,452) |
-0,068 (0,456) |
-0,071 (0,466) |
|
Education |
-0,199 (0,201) |
-0,106 (0,196) |
-0,169 (0,198) |
-0,103 (0,206) |
|
Married |
-0,975* (0,385) |
-0,789* (0,371) |
-0,545 (0,372) |
-0,777* (0,387) |
|
Predictors |
b. Violent behavior |
||||
Model 5 |
Model 6 |
Model 7 |
Model 8 |
||
IRR (SE) |
IRR (SE) |
IRR (SE) |
IRR (SE) |
||
Health stress |
1,238 (188) |
||||
Family problems |
1,562*** (0,115) |
||||
Financial issues |
1,284** (0,106) |
||||
Crises exposure |
0,918 (0,173) |
||||
Male |
1,981*** (0,299) |
2,180*** (0,346) |
2,075*** (0,312) |
1,955*** (0,295) |
|
Age |
0,989* (0,005) |
0,987** (0,005) |
0,988* (0,005) |
0,988* (0,005) |
|
SES |
0,718* (0,097) |
0,759* (0,095) |
0,797 (0,108) |
0,729* (0,100) |
|
Employed |
1,018 (0,202) |
0,958 (0,217) |
0,976 (0,205) |
1,023 (0,206) |
|
Education |
0,858 (0,070) |
0,852 (0,083) |
0,875 (0,077) |
0,872 (0,073) |
|
Married |
1,069 (0,171) |
1,119 (0,180) |
1,138 (0,181) |
1,081 (0,171) |
* p < 0,05; **p < 0,01; ***p < 0,001. Robust standard errors are in parentheses.
Discussion and conclusion. Since 2014, Ukraine has been experiencing major traumatic events, including the annexation of Crimea by Russia and the full-scale Russian invasion. Moreover, in 2020, Ukraine was affected by a public health emergency - the spread of the COVID-19 pandemic. Together, these major events continuously instil stress and trauma among Ukrainians. Yet, limited studies comprehensively assess the consequences of such cumulative trauma. Thus, it is important to better understand how life conditions and events associated with multiple disasters shape important life outcomes of the Ukrainian people.
This study aimed to fill gaps in the literature by analyzing how pandemic-related stressors and exposure to disasters such as war shaped mental health and behaviour among Ukrainians. First, we find that individuals experiencing health stress (i.e., having contracted the COVID-19 virus) report higher levels of depression. Exposure to additional daily hassles, such as family problems and financial issues, further increases depressive symptoms among Ukrainians. These findings are consistent with the stress process paradigm and recent research on the pandemic-related stressors and mental health links [12; 13; 16; 17]. Furthermore, in line with prior studies on the war-health relationship [15; 18; 19], our findings reveal that Ukrainians who reported experiencing exposure to disasters (e.g., war and genocide) were significantly more likely to experience depressive symptoms. These findings underscore the need to address the ongoing and cumulative stressors in a vulnerable society to reduce mental health issues of the population.
Next, drawing on the General Strain Theory (GST) in criminology, our study assessed whether stressful and traumatic events influenced violent behaviour in Ukraine [19; 20].
Consistent with GST, results reveal that family and financial issues are stressors that push individuals to engage in violent outbursts, likely to “fix” the stress or negative emotions associated with it. However, experiencing health stress is not significantly associated with violence among Ukrainians, which contrasts with prior research in the United States showing the link between pandemic-related stress and certain violent outcomes [24; 25]. It is possible that Ukrainians may be “numb” to certain stressors as they experience different forms of trauma routinely and in large numbers [31]. Finally, exposure to war and genocide also does not serve as a significant predictor of violence. This contrasts with the study among those exposed to the war in Donbas conducted in 2017 [23]. As such, it is possible that the impact of the full-scale invasion on behaviour is different than that of the war that started in 2014, and more studies are needed to assess those differences.
While this study contributes to the literature by showing the influence of numerous stressful and traumatic events on important life outcomes, it is not without limitations. First, due to the cross-sectional nature of the data, we cannot firmly establish the causal order of the variables. Yet, we are generally confident in it as our proposed relationships were theoretically informed. Furthermore, like all self-reported data, our data can include exaggerating, telescoping (i.e., inaccurate memory about the occurrence of certain events), and other issues associated with self-reports. Finally, given we used convenience/snowball sampling, we cannot confidently generalize our findings across Ukraine.
Notwithstanding these limitations, our study contributes to the literature by illustrating how important traumatic and stressful life conditions and events contribute to mental health and violent behaviour. Future studies should continue this line of research and examine under which conditions stress, and trauma are more or less likely to lead to mental illness and violence. In addition, our findings have important implications for policy and practice. Policymakers and relevant stakeholders should develop new strategies to help Ukrainians address their trauma and stress. For example, free resources and counselling should be available in vulnerable societies like Ukraine, guiding how to manage stress, violent behaviour, and depressive symptoms. Interactive apps could also be developed, providing Ukrainians with different tools to manage stress, including guided meditations, mindfulness, and others.
References
Cancio, R., Kuptsevych-Timmer, A., Omori, M. (2020). Perpetual war with the brother nation: An analysis of Ukrainian veterans, cultural identity and historical trauma. Journal of War & Culture Studies, 13 (3), 219-236. https://doi.org/10.1080/17526272.2018.1558536
Plokhy, S. (2015). The gates of Europe: A history of Ukraine. Basic Books.
Regalado, J., Timmer, A., Jawaid, A. (2022). Crime and deviance during the COVID-19 pandemic. Sociology Compass, 16 (4), e12974. https://doi.org/10.1111/soc4.12974
Uwishema, O., Sujanamulk, B., Abbass, M., Fawaz, R., Javed, A., Aboudib, K., Mahmoud, A., Oluyemisi, A., Onyeaka, H. (2022). Russia-Ukraine conflict and COVID-19: a double burden for Ukraine's healthcare system and a concern for global citizens. Postgraduate Medical Journal, 98 (1162), 569-571. https://doi.org/10.1136/postgradmedj-2022-141895
Chaaya, C., Thambi, V.D., Sabuncu, O., Abedi, R., Osman, A.O.A., Uwishema, O., Onyeaka, H. (2022). Ukraine-Russia crisis and its impacts on the mental health of Ukrainian young people during the
COVID-19 pandemic. Annals of Medicine and Surgery, 79, 104033. https://doi.org/10.1016/
j .amsu.2022.104033
Ukraine Emergency Situation Report #20. (2023, September 15). UNFP. URL:
https://reliefweb.int/report/ukraine/ukraine-emergency-situation-report-20-15-september-2023
Capasso, A., Skipalska, H., Chakrabarti, U., Guttmacher, S., Navario, P., Castillo, T.P. (2022). Patterns of gender-based violence in conflict-affected Ukraine: a descriptive analysis of internally displaced and local women receiving psychosocial services. Journal of interpersonal violence, 37 (23-24), NP21549-NP21572. https://doi.org/10.1177/08862605211063009
Timmer, A., Antonaccio, O., Botchkovar, E.V., Johnson, R.J., Hughes, L.A. (2023). Violent
conflict in contemporary Europe: specifying the relationship between war exposure and interpersonal violence in a war-weary country. The British Journal of Criminology, 63 (1), 18-39.
https://doi.org/10.1093/bjc/azac002
Chumachenko, D., Chumachenko, T. (2022). Impact of war on the dynamics of COVID-19 in Ukraine. BMJ Global Health, 7 (4), e009173. https://doi.org/10.1136/bmjgh-2022-009173
Ferrajao, P.C., Oliveira, R.A. (2016). The effects of combat exposure, abusive violence, and sense of coherence on PTSD and depression in Portuguese colonial war veterans. Psychological Trauma: Theory, Research, Practice, and Policy, 8 (1), 1-8. https://doi.org/10.1037/tra0000043
Gartner, R., Kennedy, L. (2018). War and postwar violence. Crime and Justice, 47 (1), 1-67. https://doi.org/10.1086/696649
Pearlin, M.E.G., Lieberman, M.A., Mullan, J.T. (1981). The stress process. Journal of health and social behavior, 22 (4), 337-356. https://doi.org/10.2307/2136676
Pearlin, L.I. (1989). The sociological study of stress. Journal of Health and Social Behavior, 30 (3), 241-256. https://doi.org/10.2307/2136956
Iesue, L., Lozovska O., Timmer A., Jawaid, A. (2022). Who is Suffering Gender-Based Violence in Ukraine? A Snapshot of Domestic Violence During War and a Global Pandemic. Ukrainian Society, 3 (82): 52-63. https://doi.org/10.15407/socium2022.03.052
Timmer, A., Johnson, R.J., Antonaccio, O., Botchkovar, E.V. (2022). Stress and depression as pathways between violent conflict exposure and moral beliefs: Why people sometimes condone “bad” things. Peace and Conflict: Journal of Peace Psychology, 28 (2), 184. https://doi.org/10.1037/pac0000603
Vindegaard, N., Benros, M.E. (2020). COVID-19 pandemic and mental health consequences:
Systematic review of the current evidence. Brain, behavior, and immunity, 89, 531-542.
https://doi.org/10.1016/j.bbi.2020.05.048
Yarrington, J.S., Lasser, J., Garcia, D., Vargas, J.H., Couto, D.D., Marafon, T., Craske, M.G., Niles, A.N. (2021). Impact of the COVID-19 pandemic on mental health among 157,213 Americans. Journal of Affective Disorders, 286, 64-70. https://doi.org/10.1016/j.jad.2021.02.056
Akello, G., Reis, R., Richters, A. (2010). Silencing distressed children in the context of war in northern Uganda: An analysis of its dynamics and its health consequences. Social Science & Medicine, 71 (2), 213-220. https://doi.org/10.1016/j.socscimed.2010.03.030
Morina, N., Reschke, K., Hofmann, S.G. (2011). Long-term outcomes of war-related death of
family members in Kosovar civilian war survivors. Death Studies, 35 (4), 365-372.
https://doi.org/10.1080/07481187.2011.553340
Agnew, R. (1992). Foundation for a general strain theory of crime and delinquency. Criminology, 30 (1), 47-88. https://doi.org/10.1111/j.1745-9125.1992.tb01093.x
Agnew, R. (2006). Pressured into crime. Los Angeles: Roxbury Publishing.
Saile, R., Ertl, V., Neuner, F., Catani, C. (2014). Does war contribute to family violence against children? Findings from a two-generational multi-informant study in Northern Uganda. Child abuse & neglect, 38 (1), 135-146. https://doi.org/10.1016/j.chiabu.2013.10.007
Timmer, A., Antonaccio, O., Botchkovar, E.V., Johnson, R.J., Hughes, L.A. (2023). Violent conflict in contemporary Europe: specifying the relationship between war exposure and interpersonal
violence in a war-weary country. The British Journal of Criminology, 63 (1), 18-39.
https://doi.org/10.1093/bjc/azac002
Davis, M., Gilbar, O., Padilla-Medina, D.M. (2021). Intimate partner violence victimization and perpetration among U.S. adults during the earliest stage of the COVID-19 pandemic. Violence and Victims, 36 (5), 583-603. https://doi.org/10.1891/VV-D-21-00005
Hammett, J.F., Halmos, M.B., Parrott, D.J., Stappenbeck, C.A. (2022). COVID Stress, socioeconomic deprivation, and intimate partner aggression during the COVID-19 pandemic. BMC Public Health, 22 (1), 1666. https://doi.org/10.1186/s12889-022-14093-w
Vozniuk, T. (2021). Exacerbation of the problem of domestic violence in the conditions of the
pandemic. Litopysets, 16, 57-60. URL: http://eprints.zu.edu.ua/32400/1/%D0%B7%D0%B1%
D1 %96%D1 %80%D0%BD%D0%B8%D0%BA%20%D0%9B%D1 %96%D1%82%D0%BE%D0% BF%D0%B8%D1%81%D0%B5%D1%86%D1%8C%2016.pdf#page=58 [in Ukrainian]
Мілорадова, Н.Е. (2023). Domestic violence during the war: factors of increase and characteristics of victims' appeal. In Psychological and pedagogical problems of professional education and patriotic education of the personnel of the Ministry of Internal Affairs of Ukraine: proceedings of the All-Ukrainian scientific and practical conference. (pp. 207-208). URL: https://dspace.univd.edu.ua/server/api/core/bitstreams/4daad8d7-d3df-4d1f-a868-28879098336d/content.[in Ukrainian]
Kroenke, K., Spitzer, R.L., Williams, J.B. (2001). The PHQ-9: Validity of a brief depression severity measure. Journal of General Internal Medicine, 16 (9), 606-613. https://doi.org/10.1046/ j.1525-1497.2001.016009606.x
Osgood, D.W. (2000). Poisson-based regression analysis of aggregate crime rates. Journal of Quantitative Criminology, 16, 21-43. https://doi.org/10.1023/A:1007521427059
Fisher, J.C., Mason, R.L. (1981). The analysis of multicollinear data in criminology. In J.A. Fox (Ed.), Methods in quantitative criminology (pp. 99-125). Academic Press.
Timmer, A., Johnson R., Antonaccio O., Botchkovar E., Hughes L. (2023). Forced to Flee Out and Down: Depression Following the Russian Invasion and Displacement of the Ukrainian People. Peace and Conflict: Journal of Peace Psychology, 1-9. https://doi.org/10.1037/pac0000689
Размещено на Allbest.ru
...Подобные документы
Addiction as a brain disease. Why Some are Addicted and others not. Symptoms of drug addiction. Local treatment facilities. Tips for recovery. Interesting statistics. Mental disorders, depression or anxiety. Method of drug use: smoking or injecting.
презентация [4,7 M], добавлен 26.03.2016The history of the public health system in Kazakhstan. Human resources, the capacity of organizations and reform of the health system. Pharmaceutical market in the country. Priority sectors of the medical equipment market. Medical education and science.
презентация [987,7 K], добавлен 04.02.2015Analysis of factors affecting the health and human disease. Determination of the risk factors for health (Genetic Factors, State of the Environment, Medical care, living conditions). A healthy lifestyle is seen as the basis for disease prevention.
презентация [1,8 M], добавлен 24.05.20128 bad habits that reduce youth and life. Effect of nicotine to the brain, nervous system and the associated excess sweating. The composition of tobacco smoke. Closely relation of sport and health. The harm of smoking for women, the human psyche.
презентация [777,7 K], добавлен 07.11.2014The definition of alcohol abuse, its symptoms, signs and association with violence. The characteristic of binge drinking. Economic, biologic and social factors of alcohol dependence, the prevention measures of it in The United States and Europe.
презентация [3,2 M], добавлен 23.11.2014Principles and types of screening. Medical equipment used in screening. identify The possible presence of an as-yet-undiagnosed disease in individuals without signs or symptoms. Facilities for diagnosis and treatment. Common screening programmes.
презентация [921,2 K], добавлен 21.02.2016Learning about peptic ulcers, a hole in the gut lining of the stomach, duodenum or esophagus. Symptoms of a peptic ulcer. Modified classification of gastroduodenal ulcers. Macroscopic and microscopic appearance. Differential diagnosis and treatment.
презентация [1,2 M], добавлен 22.04.2014Ensuring access to health care (on the example, Novo Nordisk). Comparison of of different companies: sales growth and margin, ROE, returns stock price. Relationship between ATM index and stock returns. Strategic pillars of the pharmaceutical companies.
презентация [935,7 K], добавлен 18.10.2015The etiology of bronchitis is an inflammation or swelling of the bronchial tubes (bronchi), the air passages between the nose and the lungs. Signs and symptoms for both acute and chronic bronchitis. Tests and diagnosis, treatment and prevention disease.
презентация [1,8 M], добавлен 18.11.2015Agranulocytosis - pathologic condition, which is characterized by a greatly decreased number of circulating neutrophils. Epidemiology and pathophysiology of this disease. Hereditary disease due to genetic mutations. Signs and symptoms, treatment.
презентация [1,8 M], добавлен 25.02.2014Tachycardia is a heart rate that exceeds the normal range. Symptoms and treatment methods of tachycardia. An electrocardiogram (ECG) is used to classify the type of tachycardia. It's important to get a prompt, accurate diagnosis and appropriate care.
презентация [596,2 K], добавлен 20.11.2014Coma - a life-threatening condition characterized by loss of consciousness, the lack of response to stimuli. Its classification, mechanism of development and symptoms. Types of supratentorial and subtentorial brain displacement. Diagnosis of the disease.
презентация [1,4 M], добавлен 24.03.2015Pneumonia is an inflammatory condition of the lung—affecting primarily the microscopic air sacs known as alveoli. The bacterium Streptococcus pneumoniae is a common cause of pneumonia. Symptoms, diagnostics, treatment and prevention of this disease.
презентация [279,8 K], добавлен 12.11.2013The concept and the main causes of atherosclerosis, primary symptom. The mechanisms of atherosclerosis, main causes The symptoms and consequences, prevention. Atherosclerosis treatments. Basic approaches to diagnosis and treatment of this disease.
презентация [813,1 K], добавлен 21.11.2013Areas with significant numbers of malaria cases: Africa, the Middle East, India, Southeast Asia, South America, Central America and parts of the Caribbean. Etiology, symptoms and diagnosis of the disease, methods of treatment and antimalarial immunity.
презентация [286,9 K], добавлен 02.10.2012The major pathogens and symptoms of cholera - an acute intestinal anthroponotic infection caused by bacteria of the species Vibrio cholerae. Methods of diagnosis and clinical features of disease. Traditional methods of treatment and prevention of disease.
презентация [1,0 M], добавлен 22.09.2014Acromegaly as an rare syndrome that result when the anterior pituitary gland produces excess growth hormone. Signs and symptoms, etiology and pathogenesis. The complications of acromegaly. Treatment: Hormone therapy, surgery on the pituitary gland.
презентация [827,4 K], добавлен 28.12.2015Anatomy of the liver. Botkin’s disease is a viral disease that destroys the liver and bile ducts. Causes and treatment of the disease. Vaccinations and personal hygiene are the main means of prevention. Signs and symptoms of the Botkin’s disease.
презентация [3,5 M], добавлен 22.04.2013Ulcer - is a defect of gastric or duodenal mucosa which interfere over lamina muscularis mucosae, submucosa. Pathogenesis of the disease, its provocative factors. Classification and types of ulcers. Symptoms of gastric ulcer disease, complications.
презентация [1,9 M], добавлен 16.04.2014Gastroesophageal reflux disease. Factors contributing to its the development. Esophageal symptoms of GERD. Aim of treatment. Change the life style. A basic medical treatment for GERD includes the use of prokinetic drugs with antisecretory agents.
презентация [390,7 K], добавлен 27.03.2016