scholarly journals Mental Health Status of Hostlers and Non-Hostlers in relation to Academic Achievement

2015 ◽  
Vol 2 (2) ◽  
Author(s):  
Rizwan Hassan Bhat ◽  
Dr. Syed Ahmad Shah
Keyword(s):  
Mental Health ◽  
Academic Achievement ◽  
Health Status ◽  
Random Sampling ◽  
Sampling Method ◽  
Significant Positive Correlation ◽  
Linear Regression Analysis ◽  
Mental Health Status ◽  
Positive Correlation ◽  
Clear Cut

This study was conducted to evaluate the mental health status of Hostlers and Non- Hostlers in relation to their academic achievement.. Sample random sampling method was used in this study to obtain applicable and clear-cut information. The sample of the study includes 160 students selected by sample random sampling from the Aligarh Muslim university .The mental health was measured by means of the Mental Health inventory (MHI),developed by jadish and srivastav,1995.The participants „previous two years academic achievement scores were used for assessing their academic achievement. The first finding of the study showed that academic achievement appeared as a significant predictor of mental health among hostlers .It means that there is a significant positive correlation „R‟= .931 between academic achievement and mental health among hostlers ,The second finding also showed that academic achievement appeared as a significant predictor of mental health among non- hostlers, It means that there is a significant positive correlation „R‟=.491 between academic achievement and mental health among non-hostlers. The results also reveal that hostlers showed significantly better academic achievement and mental health when compared with non- hostlers. For the analysis of the obtained data, simple linear regression analysis and t-test was used.

scholarly journals Mental health status compared among rural-to-urban migrant, urban and rural school-age children in Guangdong Province, China

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Ningjing Chen ◽  
Yongguang Pei ◽  
Xijun Lin ◽  
Jun Wang ◽  
Xiuqing Bu ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Status ◽  
Mental Health Problems ◽  
Linear Regression Analysis ◽  
Guangdong Province ◽  
Urban Children ◽  
Mental Health Status ◽  
Migrant Children ◽  
School Age Children ◽  
School Age

Abstract Background Previous research has documented mental health status among rural-to-urban migrant children (labeled as “migrant children” henceforth) and urban children. However, the findings remain unclear. In addition, far less attention has been paid to rural children’s psychological outcomes. The purpose of this study was to compare mental health status among migrant, urban and rural school-age children in Guangdong Province, China. Methods This was a cross-sectional study involving 372 migrant, 254 urban and 268 rural children selected respectively from 3 private schools, 4 public schools and 2 village schools in Guangdong Province, China. Participants provided their socio-demographic information and completed the Strengths and Difficulties Questionnaire (SDQ) to assess mental health. One-way analyses of variance (ANOVAs) and Bonferroni post hoc test were used to evaluate SDQ scores differences. A multiple linear regression analysis was conducted to measure mental health differences among children after controlling for socio-demographics. Chi-square analyses were used to assess differences in the prevalence of mental health problems among children. Results Bonferroni post hoc test showed that migrant and rural children reported significantly higher scores than urban peers in emotional symptoms, hyperactivity/inattention and total difficulties score (p < 0.01). In addition, migrant children reported a higher peer problems score compared to urban children (p < 0.001). In multiple linear regression analysis, rural and migrant children reported significantly a higher total difficulties score than urban children (p = 0.046 and 0.024, respectively). Additionally, female gender, having insurance, seldom communicating with parents, and higher monthly household income were negatively associated with a higher total difficulties score. Conversely, children’s father with secondary education was positively associated with a higher total difficulties score. The prevalence of mental health problems among rural, migrant and urban children were 26.5, 18.8 and 15.0% (χ2 = 11.41, p = 0.003), respectively. Conclusions Rural and migrant children reported poorer mental health than urban children. Female gender, having insurance, seldom communicating with parents, and higher monthly household income were associated with better mental health of children. However, children’s father with secondary education was associated with poorer mental health of children. Given the different effects of socio-demographics, further support might be provided accordingly to improve the mental health of school-age children.

scholarly journals Assessing the Mental Health, Physical Activity Levels, and Resilience of Today’s Junior College Students in Self-Financing Institutions

2019 ◽  
Vol 16 (17) ◽  
pp. 3210 ◽  
Author(s):  
Susan Ka Yee Chow ◽  
Edward Kwok Yiu Choi
Keyword(s):  
Mental Health ◽  
Physical Activity ◽  
College Students ◽  
Health Status ◽  
Junior College ◽  
Positive Mental Health ◽  
Mental Health Status ◽  
Health Science ◽  
Positive Correlation ◽  
Junior College Students

In recent decades, the number of adolescents and young adults with poor mental health has been increasing, particularly among students in tertiary institutions. This study investigates the physical activities, resilience, and mental health status of junior college students in Hong Kong. The questionnaire consisted of demographic characteristics, the Positive Mental Health Scale, the Brief Resilience Scale, and the Godin-Shephard Leisure-Time Physical Activity Questionnaire. Four hundred and sixteen students participated in the study. The results showed a moderate positive correlation (r = 0.485) between resilience and mental health, and a low positive correlation (r = 0.258) between resilience and physical activity. The one-way analysis of variance (ANOVA) with a post hoc test showed that arts students engaged in more physical activity than students from other disciplines. A multiple regression analysis was used to examine the predictors of a positive mental health status. The significant predictors are: resilience (β = 0.704; 95% CI = 0.575–0.833; P < 0.001), physical activity score (β = 0.032; 95% CI = 0.016–0.048; P < 0.001), the male gender (β = 1.035, 95% CI = 0.171–1.900; P < 0.05), and students’ enrollment in a health science discipline (β = 1.052, 95% CI = 0.175–1.930; P < 0.05). Preventive measures, such as strengthening resilience, a broad curriculum and taking note of the demographic and cognitive characteristics of students are essential for improving the mental health of freshmen in colleges.

Attitude towards School, Conflict, Violence and Mental Health Status among School Going Adolescents: A Gender Comparison

2016 ◽  
Vol 4 (1) ◽  
Author(s):  
B. Surchandra Sharma ◽  
Dr Arif Ali
Keyword(s):  
Mental Health ◽  
Health Status ◽  
Gender Difference ◽  
Demographic Data ◽  
Conduct Problem ◽  
Mental Health Status ◽  
Emotional Symptoms ◽  
Positive Correlation ◽  
Significant Difference ◽  
School Conflict

In Manipur violence is very common in different forms. Its impact is significant. During the time of conflict and violence, Adolescents are restless and actively involved in such psycho-social conflict, which leads to disruptive in mental health and education. The aim of the study was to assess the gender difference in attitude towards school, conflict, violent and mental health status among the school going adolescents. The present study was a survey on school going adolescents aged 13-17 years, from class VIII to XII in Imphal, Manipur, India. For the study two private schools and two hundred students, both boys & girls were selected using simple random sampling technique. Semi Structured Socio demographic data sheet, Attitude towards School scale, Attitude towards Conflict scale, Attitude towards Violence scale and Strength and Difficulties Questionnaire were administered to the students.  The result shows that there was no gender difference on attitude towards school and conflict. On attitude towards violence significant difference was found between boys and girls  (t=2.84,p≤0.05). In mental health status,  9% of boys and 11% girls were having  emotional symptoms; 33% of boys and 28% girls were having Conduct Problem, 16% of boys and 5 % of girl students were having hyperactivity. Further, attitude towards schools was positively correlated with emotional (r=.096) and it has negative correlation with conduct problem (r=-.52) and hyperactivity (r=-.128). Attitude towards conflict has positive correlation with emotional symptoms (r=.164), conduct problem (r=.008), hyperactivity (r=.107) and Attitude towards violence has positive correlation with emotional symptoms (r=.014), conduct problem (r=.046), hyperactive (r=.133).. School-based mental health program are needed for adolescents who are at high risk for exposure to community violence is required.

scholarly journals The Change in Mental Health Status of Indonesian Health Care Migrant Worker in Japan

2017 ◽  
Vol 12 (2) ◽  
pp. 53
Author(s):  
Susiana Nugraha ◽  
Yuko Hirano ◽  
Honda Sumihisha
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Health Status ◽  
Social Adjustment ◽  
Cultural Adaptation ◽  
Longitudinal Design ◽  
Linear Regression Analysis ◽  
Mental Health Status ◽  
P Value ◽  
One Year

Under the Japan – Indonesia Economic Partnership Agreement, more than 1,000 of Indonesian health care workers have migrated to Japan. Social adjustment during the process of migration is linked to mental health changes. This study aimed to figure out the strongest predictor that influences the change in mental health status as a result of migration. Baseline data were collected in Jakarta in 2013 during pre-departure orientation. Follow-up study was conducted one year after the study participants migrated to Japan in 2014. Using longitudinal design, this study employed 92 participants consisting of nurse and certified care worker candidates. The multiple linear regression analysis was conducted to figure out the predictors that influence the change in mental health status. The prediction model expected to explain 39.9% of the change in mental health status, p value < 0.01, while sex (b = 0.201, p value < 0.05), economic conditions in pre-migration (b = -0.200, p value < 0.05), and the socio cultural adaptation competency (b = -0.238, p value < 0.05). This finding assumed that female candidates and those who have economic constraint in pre-migration stage, and those who have declining in socio-cultural adaptation competency tend to have lower mental health one year after the migration.

scholarly journals Factors Associated With Mental Health Status Among Older Primary Caregivers in Japan

2019 ◽  
Vol 56 ◽  
pp. 004695801985981
Author(s):  
Sumi Ninomiya ◽  
Keiji Tabuchi ◽  
Md Moshiur Rahman ◽  
Toshio Kobayashi
Keyword(s):  
Mental Health ◽  
Health Status ◽  
Linear Regression Analysis ◽  
Negative Relationship ◽  
Depression Scale ◽  
Primary Caregivers ◽  
Japanese Version ◽  
Multiple Linear Regression Analysis ◽  
Mental Health Status ◽  
Young Old

This study aimed to elucidate factors affecting the mental health status of older primary caregivers. Participants comprised 81 pairs of home care recipients aged ≥65 years and primary caregivers aged ≥65 years who were caring for the recipients. We used an individual interview method, which covered basic attributes, activities of daily living by Barthel Index, mental health status by Center for Epidemiologic Studies Depression Scale (CES-D), sense of coherence (SOC), and sense of care burden by Japanese version of the Zarit Burden Interview (J-ZBI). The score for the comprehensibility subscale of the SOC was significantly higher for the old-old caregivers compared with the young-old caregivers ( P < .01). A significant positive correlation between the number of years of caregiving and the score for the SOC meaningfulness subscale was seen for the young-old caregivers ( P < .05). For the old-old caregivers alone, negative correlations were seen between the CES-D score and the scores for all the SOC items. Multiple linear regression analysis using CES-D as the dependent variable showed a significant positive relationship to J-ZBI in all caregivers ( P < .01). In contrast, a significant negative relationship was seen with meaningfulness, an SOC subscale only for the old-old caregivers. Meaningfulness as well as J-ZBI was extracted as a factor affecting the mental health status of the old-old caregivers, suggesting that higher SOC relates to lower stress levels with a remarkable decline in physical condition. Meaningfulness, an SOC subscale, is an important factor for improving the mental health of old-old caregivers.

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