scholarly journals More Depression-Related Public Concern After the Suicide of a Pop Star in China: Evidence From the Online Big Data Platform

2021 ◽  
Vol 12 ◽  
Author(s):  
Hong-Zhang Yu ◽  
Tian Fu ◽  
Jia-Nan Zhou ◽  
Ping Ke ◽  
Yun-Xia Wang
Keyword(s):  
Mental Health ◽  
Search Engine ◽  
Practical Knowledge ◽  
Pearson Correlation ◽  
Strong Positive Correlation ◽  
Public Concern ◽  
Compulsive Disorder ◽  
Search Volume ◽  
Significant Difference ◽  
Query Patterns

Background: In China, we have seen dramatic increases in public concern over depression and mental health after the suicide of some famous persons. The objective of this study is to investigate the changes of search-engine query patterns to monitor this phenomenon based on the tragic suicide of a young Chinese pop star, Kimi Qiao.Methods: The daily search volume for depression was retrieved from both the Baidu Index (BDI) and the Sina MicroBlog Index (SMI). Besides, the daily BDI for suicide, schizophrenia, obsessive-compulsive disorder, common cold, stomach cancer, and liver cancer were collected for comparison. According to the time of Qiao's suicide, all data were divided into two periods (i.e., Period One from 1 September 2015 to 31 August 2016 while Period Two ranged from 1 October 2016 to 30 September 2017). The paired t-test was used to compare the differences in search volumes between two periods. The Pearson correlation analysis was used to estimate correlations between the BDI and SMI for depression.Results: The average BDI for depression, BDI for suicide, and SMI for depression in Period Two were significantly higher than in Period One (p < 0.05). There was a strong positive correlation between the BDI and SMI for depression (r = 0.97, p < 0.001). And no significant difference in BDI for other diseases between the two periods was found.Conclusions: The changes of search-engine query patterns indicated that the celebrity's suicide might be able to improve the netizens' concern about depression in China. The study suggests publishing more practical knowledge and advice on depression through the Internet and social media, to improve the public's mental health literacy and help people to cope with their depressive symptoms appropriately.

Related type of personality a and mental health

2011 ◽  
Vol 26 (S2) ◽  
pp. 1021-1021
Author(s):  
H. Ghorbani Amir ◽  
T. Ahmadi Gatab
Keyword(s):  
Mental Health ◽  
Significant Relationship ◽  
Pearson Correlation ◽  
Type A ◽  
Physical Symptoms ◽  
Personality Types ◽  
List Type ◽  
Significant Difference ◽  
Type A Personality ◽  
University City

IntroductionConstitutional factors in mental health can be effective is the concept of personality types. Because the major segments of the population of students form community activist, according to mental health in this group of people is very important and vital.ObjectivesThis study investigated the relationship between type A personality and mental health is.MethodsDescriptive research method is correlation. The study sample included 50 students of psychology Noor University city of Babol is the daughter of 25 people and 25 people will Psrtshkyl and randomly selected and two personality questionnaires and mental health a. Gold Leaf (GHQ) have responded.ResultsResults using Pearson correlation and t test using T spss 18 software were analyzed.Findings indicate that:1.Between personality types and mental health A significant relationship exists.2.Mean mental health of girls and boys there is no significant difference.3.Between type A personality and physical symptoms there is a significant relationship.4.Between type A personality and symptoms of anxiety and sleep disturbance is a significant correlation.5.Between type A personality and social function there is a significant relationship.6.Between type A personality and depressive symptoms are significantly related.7.Gender (boys and girls) and Type A Shkhsty are related.ConclusionsAccording to research results between type A personality and mental health of a significant relationship exists. Number of participants who had type A mental health are lower than the number of participants who had personality and B are.

scholarly journals Regional Infoveillance of COVID-19 Case Rates: Analysis of Search-Engine Query Patterns (Preprint)

2020 ◽  
Author(s):  
Henry C Cousins ◽  
Clara C Cousins ◽  
Alon Harris ◽  
Louis R Pasquale
Keyword(s):  
Search Engine ◽  
Explanatory Variable ◽  
Pearson Correlation ◽  
National Level ◽  
New York Times ◽  
The United States ◽  
The State ◽  
Significance Level ◽  
Case Rate ◽  
Query Patterns

BACKGROUND Timely allocation of medical resources for coronavirus disease (COVID-19) requires early detection of regional outbreaks. Internet browsing data may predict case outbreaks in local populations that are yet to be confirmed. OBJECTIVE We investigated whether search-engine query patterns can help to predict COVID-19 case rates at the state and metropolitan area levels in the United States. METHODS We used regional confirmed case data from the New York Times and Google Trends results from 50 states and 166 county-based designated market areas (DMA). We identified search terms whose activity precedes and correlates with confirmed case rates at the national level. We used univariate regression to construct a composite explanatory variable based on best-fitting search queries offset by temporal lags. We measured the raw and z-transformed Pearson correlation and root-mean-square error (RMSE) of the explanatory variable with out-of-sample case rate data at the state and DMA levels. RESULTS Predictions were highly correlated with confirmed case rates at the state (mean <i>r</i>=0.69, 95% CI 0.51-0.81; median RMSE 1.27, IQR 1.48) and DMA levels (mean <i>r</i>=0.51, 95% CI 0.39-0.61; median RMSE 4.38, IQR 1.80), using search data available up to 10 days prior to confirmed case rates. They fit case-rate activity in 49 of 50 states and in 103 of 166 DMA at a significance level of .05. CONCLUSIONS Identifiable patterns in search query activity may help to predict emerging regional outbreaks of COVID-19, although they remain vulnerable to stochastic changes in search intensity.

scholarly journals MOST EFFECTIVE TACTIC TO RESOLVE PROBLEMATIC INFECTION CONTROL PRACTICES IN DEVELOPING COUNTRIES: PERIODIC IN-SERVICE TRAINING SESSIONS.

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Dr. Rituja Kaushal
Keyword(s):  
Infection Control ◽  
Practical Knowledge ◽  
Pearson Correlation ◽  
Tertiary Care ◽  
Training Session ◽  
P Value ◽  
High Turnover ◽  
Bottom Line ◽  
Significant Difference ◽  
The Impact

Background: Lack of Health Education Training Programs for in-service candidates in most of the health institutions of country is imposing a biggest hindrance in achieving the dream of skilled India. This all hits the institutions’ bottom line and there is no enhancement in skill development, experience and practical knowledge of the workers. In certain hospitals because of operational difficulties like high turnover of staff and insufficient time for training and monitoring their effectiveness, good service practices suffers. Methodology: This analytical cohort study was undertaken and was followed up, to assess the impact of specified training sessions, on the knowledge about skills of Infection Prevention over a group of nursing staffs of a tertiary care institution of Bhopal city in 2016. Total 30 nursing participants were evaluated statistically for assessing significant difference in their qualitative knowledge improvement level before and after the infection control training session. Results: Pretest & Posttest means & variances were calculated & Pearson Correlation between pre & posttest findings was also estimated. Here (t29 = -6.59, p value ≤ 1.59533*10-7) inference of the study is highly significant. Conclusion: It has been concluded that in order to get desired results in terms of infection control practices, intermittent and relevant training sessions are required.

scholarly journals Seasonality Patterns of Internet Searches on Mental Health: Exploratory Infodemiology Study (Preprint)

2018 ◽  
Author(s):  
Noam Soreni ◽  
Duncan H Cameron ◽  
David L Streiner ◽  
Karen Rowa ◽  
Randi E McCabe
Keyword(s):  
Mental Health ◽  
Public Interest ◽  
Information Seeking ◽  
Service Planning ◽  
Seasonal Patterns ◽  
Internet Search ◽  
Compulsive Disorder ◽  
Search Volume ◽  
Wide Range ◽  
Internet Searches

BACKGROUND The study of seasonal patterns of public interest in psychiatric disorders has important theoretical and practical implications for service planning and delivery. The recent explosion of internet searches suggests that mining search databases yields unique information on public interest in mental health disorders, which is a significantly more affordable approach than population health studies. OBJECTIVE This study aimed to investigate seasonal patterns of internet mental health queries in Ontario, Canada. METHODS Weekly data on health queries in Ontario from Google Trends were downloaded for a 5-year period (2012-2017) for the terms “schizophrenia,” “autism,” “bipolar,” “depression,” “anxiety,” “OCD” (obsessive-compulsive disorder), and “suicide.” Control terms were overall search results for the terms “health” and “how.” Time-series analyses using a continuous wavelet transform were performed to isolate seasonal components in the search volume for each term. RESULTS All mental health queries showed significant seasonal patterns with peak periodicity occurring over the winter months and troughs occurring during summer, except for “suicide.” The comparison term “health” also exhibited seasonal periodicity, while the term “how” did not, indicating that general information seeking may not follow a seasonal trend in the way that mental health information seeking does. CONCLUSIONS Seasonal patterns of internet search volume in a wide range of mental health terms were observed, with the exception of “suicide.” Our study demonstrates that monitoring internet search trends is an affordable, instantaneous, and naturalistic method to sample public interest in large populations and inform health policy planners.

scholarly journals The Study of Mental Health and Marital Adjustment of Single and Dual Employee Married Couples

2016 ◽  
Vol 3 (4) ◽  
Author(s):  
Gaikwad Santosh Bhikaji ◽  
Dr. Khalane Shashikant Hari
Keyword(s):  
Mental Health ◽  
Marital Adjustment ◽  
Married Couple ◽  
Pearson Correlation ◽  
Sampling Technique ◽  
Married Couples ◽  
World Health ◽  
Significant Difference ◽  
Health Organization ◽  
High Level

Aim: According to the world health organization, health means the person is not only free from any physical and psychological illness but (s)he should be fit socially too as well as no health without mental health. The present study aimed to investigate the level and difference of mental health and marital adjustment among single and dual employee married couples. Methods: This study was done on 300 married couples (150 single and 150 dual employees) through random sampling technique. Mithila Mental Health Status Inventory and Marriage Adjustment Inventory were used to collect data. Data were analyzed by using Mean, S.D, t-test and Pearson Correlation. Results: Result proves it no significant difference on mental health’s areas of egocentrism, alienation, and emotional un-stability but a significant difference in expression and social nonconformity, among single and dual employee married couples. Single employee married couple would have better marital adjustment than dual employee married couple. High-level positive correlation between mental health and marital adjustment among single and double employee married couples.

scholarly journals The Relationship Among Parenting Practice Creativity and Parents Mental Health With Intelligence Quotient and Behavioral Disorder of 7-8 Years Old Children in Qaemshahr City

2019 ◽  
Vol 6 (1) ◽  
pp. 22-27
Author(s):  
Nastaran Hasanli
Keyword(s):  
Mental Health ◽  
Significant Relationship ◽  
Parenting Practices ◽  
Intelligence Quotient ◽  
Pearson Correlation ◽  
Behavioral Disorder ◽  
Parenting Practice ◽  
Statistical Population ◽  
Significant Difference ◽  
The Relationship

Background: The aim of this study was the survey of the relationship of parenting practice, creativity and parent’s mental health with intelligence quotient and behavioral disorder of 7-8 years old children in Qaemshahr city. Methods: In this cross-sectional descriptive-analytical study. The statistical population consisted of seven and eight years old children in Qaemshahr city in 2017. Three hundred children among them selected with stratified random sampling. Data gathered by Baumrind parenting practices questionnaire, Thurstone and Mellinger creativity questionnaire, Derogatis mental health, Wechsler intelligence scale for children and Rutter children’s behavioral disorder. Data analysis executed by one-way ANOVA test and Pearson correlation with SPSS 22. Results: The results showed that there is no significant difference between behavioral disorder rate of boys & girls (P<0.05). Also, there is the significant relationship among parenting practices with intelligence quotient and children behavioral disorder (P<0.05), while there was no significant relationship between intelligence quotient and children’s behavioral disorder with creativity (P<0.05). Moreover, there was a significant relationship between mental health with behavioral disorder among children (P<0.05), however, there was no significant relationship with intelligence quotient (P<0.05). Conclusion: According to research results we can conclude that welfare and educational equipment’s by short-term, medium-term and long-term planning may enhance health and mental comfort among families with their children’s behavioral disorders.

scholarly journals Seasonality Patterns of Internet Searches on Mental Health: Exploratory Infodemiology Study

10.2196/12974 ◽  
2019 ◽  
Vol 6 (4) ◽  
pp. e12974 ◽  
Author(s):  
Noam Soreni ◽  
Duncan H Cameron ◽  
David L Streiner ◽  
Karen Rowa ◽  
Randi E McCabe
Keyword(s):  
Mental Health ◽  
Public Interest ◽  
Information Seeking ◽  
Service Planning ◽  
Seasonal Patterns ◽  
Internet Search ◽  
Compulsive Disorder ◽  
Search Volume ◽  
Wide Range ◽  
Internet Searches

Background The study of seasonal patterns of public interest in psychiatric disorders has important theoretical and practical implications for service planning and delivery. The recent explosion of internet searches suggests that mining search databases yields unique information on public interest in mental health disorders, which is a significantly more affordable approach than population health studies. Objective This study aimed to investigate seasonal patterns of internet mental health queries in Ontario, Canada. Methods Weekly data on health queries in Ontario from Google Trends were downloaded for a 5-year period (2012-2017) for the terms “schizophrenia,” “autism,” “bipolar,” “depression,” “anxiety,” “OCD” (obsessive-compulsive disorder), and “suicide.” Control terms were overall search results for the terms “health” and “how.” Time-series analyses using a continuous wavelet transform were performed to isolate seasonal components in the search volume for each term. Results All mental health queries showed significant seasonal patterns with peak periodicity occurring over the winter months and troughs occurring during summer, except for “suicide.” The comparison term “health” also exhibited seasonal periodicity, while the term “how” did not, indicating that general information seeking may not follow a seasonal trend in the way that mental health information seeking does. Conclusions Seasonal patterns of internet search volume in a wide range of mental health terms were observed, with the exception of “suicide.” Our study demonstrates that monitoring internet search trends is an affordable, instantaneous, and naturalistic method to sample public interest in large populations and inform health policy planners.

Inter-Rater reliability of a professionalism OSCE developed in family medicine training University of Medicine and Pharmacy

MedPharmRes ◽  
2018 ◽  
pp. 20-24
Author(s):  
Binh Pham ◽  
An Pham ◽  
Tuan Tran ◽  
Jimmie Leppink
Keyword(s):  
Family Medicine ◽  
Pearson Correlation ◽  
Faculty Members ◽  
Influential Factor ◽  
Strong Positive Correlation ◽  
Rater Reliability ◽  
Significant Difference ◽  
The Family ◽  
Post Test ◽  
Similar Range

A POSCE was developed and administered in 2015 to assess six professional attributes for the Family Medicine (FM) residents, University of Medicine and Pharmacy (UMP), Vietnam. This study aims at exploring inter-rater reliability in FM POSCE developed in this context when analytic rubrics were applied. Background: Past POSCEs showed raters’ variability on applying the global marking items and holistic rating. Using analytic rubrics, unlike holistic type, will provide more rationale for assigning a certain score might influence raters’ variability. Nonetheless, it is little known to what extent switching to this rubric type might influence the inter-rater reliability of POSCE. Methods: Before the FM professionalism module (pretest) and after this module (posttest), 36 and 42 FM residents took the POSCE respectively. The raters in the pretest included 12 teachers of FM training center. Four faculty members from different faculties were belatedly added to the post-test together with the 12 former raters. Raters’ training occurred in two different times, the former took place only for the 12 FM raters before the pretest and the latter was before the posttest for the 4 belatedly-recruited. During the POSCE, one pair of raters observed all performances per station. Inter-rater reliability was measured by the differences in total scores between raters per pair using paired t-test and Pearson correlation coefficient. Results: In POSCE pretest, no significant difference was found between raters’ scores in most pairs of raters, contrasting with that in the posttest. Most differences were noticed in the pairs of raters, in which one of the raters was the belatedly-recruited. In the pretest, moderate to strong positive correlation between raters’ mean scores were found (r=0.55-0.85), similar range was seen in the post-test (r=0.47-0.87), however, the correlation slightly weakened. Discussion and conclusion: The FM POSCE has high inter-rater reliability on the utilization of analytic grading rubrics. An analytic rubric might help minimize the discrepancies among raters. Moreover, training raters might have been an alternative influential factor on the raters’ consensus.

scholarly journals Identifying Factors on Agent’s Sales in an Apparel Manufacturing Company

2020 ◽  
Vol 3 (1) ◽  
pp. g36-41
Author(s):  
NOR HASLIZA MAT DESA ◽  
SITI ZAMIRA AIDA MAT JUSOH
Keyword(s):  
Pearson Correlation ◽  
Regression Result ◽  
Strong Positive Correlation ◽  
Apparel Manufacturing ◽  
Agent Based ◽  
Knowledge And Skills ◽  
Significant Difference ◽  
Manufacturing Company ◽  
Before And After ◽  
Strategic Business Plan

Agents are the most important marketing tools for company to become a successful in business. Agents not only operate as a channel to customers, but they also play an important role in providing customers with a variety of services before and after the sales. The main purpose of this study is to identify the factor influencing agent’s sales at an Apparel Manufacturing company. There are three categories of agents at the company namely, Trial agent, Basic agent and Premium agent. Based on the sales records in May 2018, the sales of product obtained by Trial Agent is lower than Basic and Premium Agents in this company. Therefore, this study aims to determine difference mean on record sales by agent among three categories of agents. This study also investigates the relationship between sales records by agents and years of experienced in business. Data was collected using questionnaire from 46 active agents at the company. Data was analyzed using One-way Analysis of Variance (ANOVA), Pearson correlation coefficient and Multiple Linear Regression. Result showed that there is a statistically significant difference in the mean sales records among the three of agent’s categories. Furthermore, there is a strong positive correlation between sales records by agent and years of experienced in business. Meanwhile, factors of knowledge and skills in business are most contributed to the agent’s sales. This study can help the company to create a strategic business plan and conducting several workshop trainings for agents to increase their knowledge and skills in business.

scholarly journals The Relationship between Resilience & Mental Health among a Sample of University of Nizwa Students - Sultanate of Oman

2018 ◽  
Vol 14 (2) ◽  
pp. 288 ◽  
Author(s):  
Samer Rudwan ◽  
Saada Alhashimia
Keyword(s):  
Mental Health ◽  
Pearson Correlation ◽  
Male Students ◽  
Student Sample ◽  
Resilience Scale ◽  
Significant Difference ◽  
Descriptive Approach ◽  
The University ◽  
The Relationship ◽  
One Way Anova

This study employs the descriptive approach to identify the relationship between resilience and mental health in light of some variables in a student sample at the University of Nisswa. The sample consisted of 1,000 students, including 403 men and (597) women. The sample random sampling. Two instruments were used: the resilience scale (Connor & Davidson , 2003) and the Arab Mental Health Scale (Abdel-Khalek, 2011). The psychometric properties of both scales were tested. To answer the study questions, the following statistics were used: Pearson correlation coefficient, t-test, one-way ANOVA Test, LSD test, and regression analysis. The results indicate a positive correlation between mental health and resilience. There was also a significant difference between female and male students in terms of resilience and mental health in favor of female students; It seems that women are more resilient and healthier than men. The study of age differences did not reveal any differences. The study also indicates that resilience has a significant impact on mental health. Finally, the results were tweaked against the limitations of the study.

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