OBJECTIVE: To summarize the key points, difficulties and relevant practical experiences for analyzing the scene of solved intentional homicide cases. METHODS: The data of 88 solved intentional homicide cases in a county from 2004 to 2013 were collected and the retrospective analysis was performed. RESULTS: The number of local female victims obviously higher than non-local female victims and the number of non-local suspects is obviously higher than local suspects. The number of Male suspects showed higher compared with the female. Most of them were temporary workers, unemployment or farmers with less education backgrounds. The main causes of victims' death were mechanical injury or asphyxia. The murders were acquaintances in most intentional homicide cases. The motive of the stranger murders was commonly money. The murder behavior types of homicide cases were related with people, money and sexual assault. Camouflage and guilty behavior showed the most significance. CONCLUSION The accurate identification of suspects is one of the most important task in forensic investigation and reflects the importance of the criminal scene analysis for intentional homicide cases. It also provides the direction of future research.
Asphyxia ; Cause of Death ; Crime Victims ; Criminals ; Female ; Homicide/statistics & numerical data* ; Humans ; Male ; Mental Disorders ; Motivation ; Retrospective Studies ; Sex Offenses

OBJECTIVE: To summarize the solved homicide cases taking place in Suzhou city and to find out the characteristics and commonness of them in order to analyze the key points of investigation at the scene. METHODS: The data of 483 solved homicide cases occurring from January 2006 to March 2010 in the city were analyzed. RESULTS: Most cases involved 1 victim and 1 suspect, with young male adults dominated. Most of them were non-local residents. The majority of suspects were intentional by passion due to quarrel and dispute. The most common weapons were sharp instruments generally carried by the suspects. Mechanical asphyxia and mechanical injury were the two most common causes of death in these cases. CONCLUSION The social characteristics of suspects, criminal motivation, injury instruments, distribution of injuries, cause of death, and manner of death in Suzhou showed similar general characteristics as the experience for detecting homicide cases in the future.
Adult ; Age Distribution ; Asphyxia/mortality* ; Cause of Death ; Crime Victims/statistics & numerical data* ; Criminal Psychology ; Female ; Forensic Pathology ; Homicide/statistics & numerical data* ; Humans ; Male ; Retrospective Studies ; Sex Distribution ; Shock, Hemorrhagic/mortality* ; Socioeconomic Factors ; Weapons/statistics & numerical data* ; Wounds and Injuries/pathology*

OBJECTIVE: To explore the characteristics of the dismembered homicide cases in Shanghai and to provide the valuable guidance for forensic pathological practices. METHODS: Twenty-four cases of dismembered homicides were selected from 2005 to 2012 in Institute of Forensic Science, Shanghai Public Security Bureau. The general information of the victims and suspects, cause of death, criminal motive, postmortem body parts, tools and information of discarding body parts were retrospectively analyzed. RESULTS: Among the 24 dismembered homicide cases, victims were female in 16 cases, and suspects were male in 23 cases and were acquaintances in 22 cases. The main causes of death were mechanical asphyxia and traumatic brain injury. Most of the criminal motives were emotional disputes. The number of postmortem body parts was commonly from 20 to 30. The tools were mainly sharp instruments, including kitchen knives used in 20 cases. The postmortem body parts were discarded to different transregional areas, mainly using vehicles. CONCLUSION The dismembered homicide cases in Shanghai show the following characteristics: the number of postmortem body parts is in large quantity; the methods of dismembered corpse are complex and different; the job characteristics of suspects are difficult to determine; the distance from homicide scene is far and the vehicles are commonly used.
Adult ; Age Factors ; Asphyxia/pathology* ; Autopsy ; Brain Injuries/pathology* ; Cause of Death ; China/epidemiology* ; Crime Victims/statistics & numerical data* ; Criminals/statistics & numerical data* ; Female ; Forensic Medicine ; Homicide/statistics & numerical data* ; Humans ; Male ; Middle Aged ; Motivation ; Retrospective Studies ; Sex Distribution ; Wounds and Injuries/pathology* ; Young Adult

OBJECTIVE: To study criminological characteristics of female violent criminal suspects who accepted forensic psychiatry assessment. METHODS: Information of the suspects involved in judicial appraisal between 2000 and 2009 were collected and analyzed according to our self-made scale. RESULTS: The age of 259 suspects were between 16 and 81 years old. There were 205 (79.2%) suspects who were younger than 45 years old. There were 225 (86.9%) suspects who were married. There were 14 different appraisal results: schizophrenia 47.1%, without psychosis 15.4%, depression 10.4% and others 27.1%. Irresponsibility involved with 59.5%, partial responsibility 18.5% and full responsibility 22.0%. Murder were 85.7%, arson 10.4%, inflicted injury 1.9% and robbery 1.9%. A total of 191 cases resulted in death, accounting for 82.3% of all cases. In 34.9% of all cases, the victims were male spouse of the suspects. Main weapons used in the crime were cutters and other working related tools (36.3%). There were 66.8% of all cases were with pathological motivation, 29.7% with reality motivation and 3.5% cases were with unknown motivation. CONCLUSION Female violent suspects in our cases often suffered from various kinds of mental diseases. Their motivations were pathological primarily. Most cases were intentional killing with family members as victim mainly. Major weapons used were daily working related tools.
Age Distribution ; Aggression/psychology* ; Crime/statistics & numerical data* ; Crime Victims/statistics & numerical data* ; Depression/psychology* ; Diagnostic and Statistical Manual of Mental Disorders ; Educational Status ; Expert Testimony ; Female ; Forensic Psychiatry ; Humans ; Marital Status ; Mental Disorders/psychology* ; Motivation ; Retrospective Studies ; Violence/statistics & numerical data* ; Women/psychology*

OBJECTIVETo examine relationships between weight status and different forms of bullying victimization among adolescents aged 11-18 years.

METHODSThe relationships between weight status and bullying victimization (physical, verbal, and relational) were examined utilizing data from the Guangdong Provincial Youth Health Behavior Survey. Data on height, weight, and victimization behaviors were collected by self-reporting from 12 439 subjects. , test and logistic regression were used to analyze relationships between weight and bullying victimization.

RESULTSThe incidence of victimization for adolescents aged 11-18 years was 8.6%, with higher rates for boys (12.4%) than for girls (4.7%). For children with normal, overweight and obese body mass index (BMI), the incidence rates of victimization were 8.2%, 17.3%, and 11.5%, respectively. Compared to normal weight, overweight was a risk factor for bullying victimization(OR = 1.60, 95% CI: 1.18-2.17), and it also increased children's risk of being teased in a hurtful way (OR = 2.13, 95% CI: 1.41-3.24) and being made fun of due to physical appearance (OR = 3.58, 95% CI: 2.27-5.67). Obesity only increased the risk for children of being made fun of due to physical appearance (OR = 2.45, 95% CI: 1.44-4.15).

CONCLUSIONSThe victimization for children at school is common in Guangdong province, China. Overweight and obese children are more likely to be victims of bullying behaviors, especially verbal victimization.

Adolescent ; Body Weight ; Child ; China ; Crime Victims ; statistics & numerical data ; Female ; Humans ; Male ; Obesity ; psychology ; Psychology, Adolescent

OBJECTIVETo study the incidence and risk factors of campus violence and to provide evidence for preventing campus violence among college students.

METHODS5300 college students in two universities in a province of China were selected to participate in the study and were interviewed with questionnaires. Logistic regression was used for data analysis.

RESULTS(1) In total, 3910 useable questionnaires were gathered to show a response rate of 73.77%. 17.98% of the college students reported they had ever experienced campus violence in the last one year. 29.60% of the male students experienced campus violence so as 7.27% of the female students. The incidence of violence among male students was significantly higher than those of female students (chi2 = 329.89, P = 0.000). (2) Among male students who were victims of campus violence, the incidence rates of threat or blackmail, emotional abuse, physical assault, verbal sexual harassment, sexual assault were 18.03%, 13.97%, 10.77%, 0.85%, 0.48% respectively. Among female students who were victims of campus violence, the incidence rates were 3.64%, 5.84%, 1.38%, 1.33%, 1.13% respectively. The main source of the violence was from their schoolmates. (3) 10.40% of the male students reported they were perpetrators of campus violence in the last year, while 1.47% of the female students reported so. Schoolmates were the main subjects of their aggressive behaviors. (4) Among the college students who were victims of campus violence, logistic regression analysis revealed that smoking, drinking alcohol, frequently getting computer online were important risk factors. The OR values were 1.48, 2.96, 1.66 respectively. Among college students who were perpetrators of campus violence, the OR values were 2.92, 1.88, 2.09 respectively.

CONCLUSIONCampus violence among college students was serious, suggesting that intervention measures should be taken.

China ; epidemiology ; Crime Victims ; statistics & numerical data ; Female ; Humans ; Incidence ; Interpersonal Relations ; Interviews as Topic ; Logistic Models ; Male ; Odds Ratio ; Peer Group ; Risk Factors ; Sex Factors ; Students ; psychology ; statistics & numerical data ; Surveys and Questionnaires ; Universities ; Violence ; statistics & numerical data