Background: Suicide among adolescents is a critical global health problem. Identifying risk factors for suicide in adolescents is crucial because it is one of the most severe mental health issues and can result in loss of life. Risk factors serve as indicators that have the potential to bring life to an end. However, people around adolescents often display indifference and even tend to overlook the suicide risk factors experienced by them. Objective: This study aimed to explore the risk factors for suicide in adolescents in Indonesia. Methods: This study used qualitative descriptive research design conducted at State Vocational High Schools (SMKN) and Puskesmas. Data collection was done through Focus Group Discussion (FGD) of 10 students, and in-depth interviews of eight participants (two parents of adolescents who attempted suicide, two guidance counseling teachers, two adolescents who attempted suicide, and two mental nurses) The data were analyzed using thematic analysis. Results: The risk factors for suicide experienced by adolescents are biological, psychological, and social factors. These risk factors for suicide are stressors that contribute to adolescents engaging in suicidal behavior. Identifying the risk factors experienced by adolescents is crucial for suicide prevention. Conclusion The risk factors that lead to suicide in adolescents encompass biological, psychological, and social factors. A thorough understanding of suicide among parents, teachers, and peers can significantly assist in implementing suitable prevention measures and interventions for adolescent suicide.
Adolescent ; Risk Factors ; Biological Factors ; Psychology ; Social Factors ; Suicide

There have been several studies supporting a possible relationship between high suicide rate and high altitude. However socioeconomic status may confound this association because low socioeconomic status, which is known to be related to a high suicide rate, is also associated with living at high altitude. This study aims to explore whether the relationship between high altitude and high suicide rate remains after adjusting for socioeconomic status in South Korea. We collected demographic data of completed suicides, the mean altitude of the district where each suicide took place, and the mean income of each district. We analyzed the data using regression analysis before and after adjustment for mean income. We found that there is a positive correlation between altitude and suicide rate, even after adjustment for mean income. Thus, altitude appears to be an independent risk factor for suicide.
Altitude* ; Korea ; Risk Factors ; Social Class* ; Suicide*

Generally, this study explores the transformation of body image among former collegiate athletes in Metro Manila. Through qualitative hermeneutic phenomenology, the study found out diverse experiences of former female athletes with their body image. A salient theme that was elicited from the study was how changes in daily routines significantly impacted their perceptions. External factors like comments from family, peers, and society also played a major role. The cultural norms of both athletics and Philippine society influenced how these women internalized their body image. Many still associate ideal bodies with athletic terms like "muscular" or "visible abs." Coping mechanisms varied, but most leaned towards positive strategies like seeking support to counter the negative influences.

Human ; Female ; Hermeneutics ; Body Image ; Social Factors

The biopsychosocial approach to healthcare is fundamental to Family and Community Medicine specialists. Using the patient-centered, family-focused, community-oriented (PFC) matrix, the interplay of a myriad of biomedical and psychosocial factors is assessed in order to provide a thorough medical management that is custom-made to meet the needs and inherent values of a patient and his/her family. Family assessment tools are also utilized to better understand the family dynamics of a patient that may impact on the prescribed management plan. In addition, social determinants of health are evaluated to ascertain which ones may facilitate or hamper proper utilization of community resources. This family case analysis documented the medical ordeal of a young professional who had been diagnosed with two rare medical conditions: necrotizing fasciitis and Chiari malformation Type II. Employing the PFC matrix, the Family and Community Medicine specialist was able to provide inter-disciplinary care for the patient and his family in a holistic manner by recognizing patient needs, creating an enabling family support environment, and helping the family unit navigate various community resources.
Humans ; Social Determinants of Health ; Family Health ; Social Factors ; Patient-Centered Care

Because information on biological agents in the workplace is lacking, biological hazard analyses at the workplace to securely recognize the harmful factors with biological basis are desperately needed. This review concentrates on literatures published after 2010 that attempted to detect biological hazards to humans, especially workers, and the efforts to protect them against these factors. It is important to improve the current understanding of the health hazards caused by biological factors at the workplace. In addition, this review briefly describes these factors and provides some examples of their adverse health effects. It also reviews risk assessments, protection with personal protective equipment, prevention with training of workers, regulations, as well as vaccinations.
Biological Factors ; Humans ; Risk Assessment ; Social Control, Formal ; Vaccination

OBJECTIVETo explore the relationship between socioeconomic status and the risk factors of cardiovascular diseases in retirees from a community in Shanghai.

METHODSObservational study involved 9 943 retirees aged 50 and over in Shanghai. Both single factor and multi-factor analyses methods were used to describe the correlation between factors as:educational level, marital status, annual household income and risk of hypertension, coronary heart disease, stroke etc. A new defined compound index was used to assess the relevance of socioeconomic status on the risk of cardiovascular diseases, based on logistic regression model.

RESULTSAfter adjusted for age, the risk of cardiovascular diseases in these retirees was influenced by socioeconomic status. In general, opponent correlations in education levels and prevalence of hypertension were found between female and male. Compared with those having received college or higher education, the risk of hypertension increased in females when the education level declined, with OR as 1.08 (95% CI:0.89-1.30). For those having had senior high school junior high school or elementary education, the risks of hypertension were 1.26 (95%CI:1.05-1.51), 1.34 (95%CI:1.08-1.65), 0.72 (95%CI:0.59-0.87),0.78 (95%CI:0.64-0.94), and 0.70 (95%CI:0.52-0.92) for males, respectively. The risk of cardiovascular diseases increased with annual household income. Compared with high level of socioeconomic status, lower socioeconomic status might decline the risk of cardiovascular diseases in males by approximately 30%, with OR for medium being 0.72 (95%CI:0.61-0.84) and for lower ones it was 0.70 (95% CI:0.57-0.87). However, similar correlations were not found in females. No significant relationship was found between marital status and the prevalence of cardiovascular diseases in this study.

CONCLUSIONThe risks of cardiovascular diseases varied with different socioeconomic status, indicating that tailored interventions should be conducted in different socioeconomic groups.

Adult ; Aged ; Cardiovascular Diseases ; epidemiology ; Female ; Humans ; Male ; Middle Aged ; Risk Factors ; Social Class ; Socioeconomic Factors

PURPOSE: This study aimed to analyze the relationships between the factors affecting health levels of the elderly in rural areas. METHODS: Subjects were 257 elderly people residing in rural areas of six cities and Gangwon Province. Data was collected through questionnaires (demographic and socioeconomic status, social resources, health behaviors, physical environment, psychological tendency and general health levels) and was analyzed by using multiple regression and Sobel test. RESULTS: The demographic and socioeconomic characteristics of the subjects exerted statistically significant influence on their social resources, health behaviors, physical environment, and psychological tendencies. The demographic and socioeconomic characteristics, social resources, health behaviors, physical environment, and psychological tendencies, in turn, exerted a statistically significant influence on the health level. The social resources had mediating effects on the relationship between income, one of the demographic and socioeconomic characteristics, and health level. The residential environments had mediating effects on the relationship between income and health level. The psychological tendency had mediating effects on the relationship between income and health level. CONCLUSION: This study suggests that income is an important factor affecting health level among rural elderly people. In addition, social resources, health behaviors, physical environment, and psychological tendencies among them also affect health level, so it is necessary to make strategies to improve these factors.
Aged* ; Gangwon-do ; Health Resources ; Health Status* ; Humans ; Negotiating ; Social Class ; Socioeconomic Factors* ; Sociological Factors

Tackling socioeconomic inequalities in health risk factors is an important pathway for alleviating health inequalities. The aim of this study was to analyze the current state of inequality in health risk factors by socioeconomic status in Korea through a literature review of recently published studies and description of secondary data from the Korea National Health and Nutritional Examination Survey (KNHANES). We evaluated the extent and trends of socioeconomic inequalities in health behavior (smoking, high-risk alcohol drinking, moderate exercise, and nutritional deficiency) and clinical risk factors (hypertension, diabetes mellitus, hypercholesterolemia, and obesity) with 1998 to 2010 KNHANES data based on socio-economic status. Furthermore, we summarized the impact of several distal health determinants like income, education and occupation, and childhood period on health inequalities in Korea. The results showed that a wide range of health risk factors including more distal causes were socio-economically patterned to varying degrees. In order to reduce health inequalities by socioeconomic status, more comprehensive monitoring and measures, and well-designed studies are required for promoting the understanding of the causal pathway and developing interventional strategies.
Alcohol Drinking ; Diabetes Mellitus ; Health Behavior ; Hypercholesterolemia ; Korea ; Occupations ; Risk Factors ; Social Class ; Socioeconomic Factors

OBJECTIVEUsing quantitative genetic analysis of twin study design to explore the impact of genetic and environmental factors on the prosocial behaviors of children.

METHODSOne hundred and forty-seven twin pairs from Chengdu area aged 6-16 were studied using parental information of Strengths and Difficulties Questionnaire (SDQ). SPSS13.0 and Mx software were used to analyze data, including nonparametric test, Pearson correlation, genetic analyses, etc.

RESULTS(1) Female children score higher than males on their prosocial behavior (Ps< 0.05), except less than 11 age group; (2) Shared environmental factors were the most important for children's prosocial behaviors(C=0.48,95%CI:0.09-0.73),then the genetic factors (A=0.27,95%CI:0-0.66) and the unshared environmental factors(E=0.25,95%CI:0.18-0.35); (3)Female and those who scored higher on their fact/ideal family adaptability and cohesion scored higher in their prosocial behaviors (r:0.17-0.29). On the contrary, those who had extreme conditions during pregnancy/ perinatal period or whose caretaker had discordant opinions on parenting scored lower (r: -0.16 to 0.28).

CONCLUSIONChildren's prosocial behaviors were influenced by genetic and environmental factors including family function and parenting environment, and genetic impact differs in different age and sex.

Adolescent ; Behavior ; Child ; Female ; Humans ; Male ; Parenting ; Sex Factors ; Social Adjustment ; Social Behavior ; Surveys and Questionnaires ; Twins ; genetics ; psychology

OBJECTIVES: The aims of this paper were to develop the composite deprivation index (CDI) for the sub-district (Eup-Myen-Dong) levels based on the theory of social exclusion and to explore the relationship between the CDI and the standardized mortality ratio (SMR). METHODS: The paper calculated the age adjusted SMR and we included five dimensions of social exclusion for CDI; unemployment, poverty, housing, labor and social network. The proxy variables of the five dimensions were the proportion of unemployed males, the percent of recipients receiving National Basic Livelihood Security Act benefits, the proportion of households under the minimum housing standard, the proportion of people with a low social class and the proportion of single-parent household. All the variables were standardized using geometric transformation and then we summed up them for a single index. The paper utilized the 2004-2006 National Death Registry data, the 2003-2006 national residents' registration data, the 2005 Population Census data and the 2005-2006 means-tested benefit recipients' data. RESULTS: The figures were 115.6, 105.8 and 105.1 for the CDI of metropolitan areas (big cities), middle size cities and rural areas, respectively. The distributional variation of the CDI was the highest in metropolitan areas (8.9 - 353.7) and the lowest was in the rural areas (26.8 - 209.7). The extent and relative differences of deprivation increased with urbanization. Compared to the Townsend and Carstairs index, the CDI better represented the characteristics of rural deprivation. The correlation with the SMR was statistically significant and the direction of the CDI effects on the SMR was in accordance with that of the previous studies. CONCLUSIONS: The study findings indicated mortality inequalities due to the difference in the CDI. Despite the attempt to improve deprivation measures, further research is warranted for the consensus development of a deprivation index.
Humans ; Logistic Models ; Male ; *Mortality ; *Prejudice ; *Psychosocial Deprivation ; Republic of Korea ; Social Class ; Social Justice ; Socioeconomic Factors ; Statistics as Topic