Gender Differences in Suicide Risk by Socio-Demographic Factors in Hong Kong

The study examined the importance of socio-demographic factors, health conditions, health beliefs and health seeking behaviors in predicting the use of Traditional Chinese Medicine (TCM) in Hong Kong. A sample of 4,339 respondents was randomly selected and interviewed. Among the 1,651 respondents who had consulted a doctor in the three months prior to the survey, 8.6% consulted a TCM doctor. Besides, 13.5% of the entire sample reported that they had been using TCM drugs frequently or occasionally. Socio-demographic factors, health conditions, health beliefs and health seeking behaviors were all found predictive of the use of TCM. In particular, those who were older, female, new immigrants, unemployed, retired, had chronic disease such as rheumatism, bronchitis, asthma, and those taking non-prescribed medication and not seeking treatment when falling ill were more likely to use TCM. Perceived difficulty in obtaining medical services and high medical cost also predicted TCM use. In sum, the findings suggest that TCM users are likely to be those who have been marginalized in obtaining medical care.

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To Explore the Relationship Between Socio-demographic Factors and Online Social Capital Among Undergraduate Students in Hong Kong

10.22492/issn.2186-2303.2021.2 ◽

2021 ◽

Author(s):

Wan Sang Kan ◽

Vanessa Hoi Mei Cheung

Keyword(s):

Social Capital ◽

Hong Kong ◽

Undergraduate Students ◽

Demographic Factors ◽

Socio Demographic Factors ◽

The Relationship

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Cognition across the lifespan: age, gender, and sociodemographic influences

10.1101/804765 ◽

2019 ◽

Author(s):

E. S. Nichols ◽

C. J. Wild ◽

A. M. Owen ◽

A. Soddu

Keyword(s):

Gender Differences ◽

Short Term Memory ◽

Demographic Factors ◽

Cognitive Testing ◽

Clear Understanding ◽

Men And Women ◽

Cognitive Domains ◽

Verbal Abilities ◽

Socio Demographic Factors ◽

Large Representative

AbstractMaintaining cognitive health across the lifespan has been the focus of a multi-billion-dollar industry. In order to guide treatment and interventions, a clear understanding of the way that proficiency in different cognitive domains develops and declines across the lifespan is necessary. Additionally, there are gender differences in a range of other factors, such as anxiety and substance use, that are also known to affect cognition, although the scale of this interaction is unknown. Our objective was to assess differences in cognitive function across the lifespan in men and women in a large, representative sample. Leveraging online cognitive testing, a sample of 18,902 men and women ranging in age from 12-69 matched on socio-demographic factors were studied. Segmented regression was used to model three cognitive domains – short-term memory, verbal abilities, and reasoning. Gender differences in all three domains were minimal; however, after broadening the sample in terms of socio-demographic factors, gender differences appeared. These results suggest that cognition across the lifespan differs for men and women, but is greatly influenced by environmental factors. We discuss these findings within a framework that describes gender differences in cognition as likely guided by a complex interplay between biology and environment.

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Acceptance of a smartphone navigation application by hospital patients and visitors: the role of gender, age, and education

Hungarian Geographical Bulletin ◽

10.15201/hungeobull.70.2.4 ◽

2021 ◽

Vol 70 (2) ◽

pp. 149-161

Author(s):

Jan Ženka ◽

Jan Macháček ◽

Luděk Krtička ◽

Pavel Michna ◽

Pavel Kořízek

Keyword(s):

Gender Differences ◽

Technology Acceptance ◽

Empirical Research ◽

Demographic Factors ◽

Level Of Education ◽

Hospital Patients ◽

Socio Demographic Factors

This paper analyses the acceptance of a smartphone navigation app in a hospital among its patients/visitors. We tested the effects of socio-demographic factors (gender, age, and education) on technology acceptance and on perceived difficulties with wayfinding in the hospital complex. The empirical research is based on a survey among 928 patients/visitors of the Vítkovice Hospital in Ostrava, Czechia. We found that the acceptance of smart navigation increases with the level of education and decreases with age. No significant gender differences were observed.

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Early Identification of Youth at Risk for Suicidal Behavior

Crisis ◽

10.1027/0227-5910/a000569 ◽

2019 ◽

Vol 40 (5) ◽

pp. 326-332

Author(s):

Ivonne Andrea Florez ◽

Devon LoParo ◽

Nakia Valentine ◽

Dorian A. Lamis

Keyword(s):

At Risk ◽

Early Identification ◽

Suicide Risk ◽

Psychiatric Symptoms ◽

Demographic Factors ◽

Health Centers ◽

Lack Of Information ◽

Youth At Risk ◽

Logistic Regressions ◽

Lethal Means

Abstract. Background: Early identification and appropriate referral services are priorities to prevent suicide. Aims: The aim of this study was to describe patterns of identification and referrals among three behavioral health centers and determine whether youth demographic factors and type of training received by providers were associated with identification and referral patterns. Method: The Early Identification Referral Forms were used to gather the data of interest among 820 youth aged 10–24 years who were screened for suicide risk (females = 53.8%). Descriptive statistics and binary logistic regressions were conducted to examine significant associations. Results: Significant associations between gender, race, and age and screening positive for suicide were found. Age and race were significantly associated with different patterns of referrals and/or services received by youths. For providers, being trained in Counseling on Access to Lethal Means was positively associated with number of referrals to inpatient services. Limitations: The correlational nature of the study and lack of information about suicide risk and comorbidity of psychiatric symptoms limit the implications of the findings. Conclusion: The results highlight the importance of considering demographic factors when identifying and referring youth at risk to ensure standard yet culturally appropriate procedures to prevent suicide.

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ASSOCIATION OF SOCIO-DEMOGRAPHIC FACTORS WITH DIARRHEA IN CHILDREN LESS THAN FIVE YEARS: A SECONDARY ANALYSIS OF MULTIPLE INDICATOR CLUSTER SURVEY SINDH 2014

Pakistan Journal of Public Health ◽

10.32413/pjph.v7i2.39 ◽

1970 ◽

Vol 7 (2) ◽

pp. 85-89

Author(s):

Muhammad Irfan ◽

Syed Mustansir Hussain Zaidi ◽

Hira Fatima Waseem

Keyword(s):

Rural Areas ◽

Demographic Factors ◽

Wealth Index ◽

Household Wealth ◽

Cluster Survey ◽

Multiple Indicator Cluster Survey ◽

Increased Risk ◽

Multiple Indicator ◽

Mother Education ◽

Socio Demographic Factors

Background: Diarrhea founds to be the major cause of morbidity and mortality in children less than five years. Various factors are associated with diarrhea but socio-demographic factors are the main key elements, which associated with diarrhea. Methods: This study was examined association of socio-demographic factors with diarrhea in children less than five years of age of Sindh, Pakistan, using data from the Multiple Indicator Cluster Survey (MICS) conducted from January 2014 to August 2014. Data were collected for 18,108 children in whom 16,449 children had complete data of demographic variables being included in the analysis. Bivariate analysis was done using Pearson's Chi square test and multivariate analysis being done using binary logistic regression. Results: We found increased risk of diarrhea among children lives in rural areas while household wealth index quintile was also associated with diarrhea. Children in the poor, middle and fourth wealth index quintiles being at increased risk of diarrhea compared to children in the richest wealth index quintile. The highest risk of diarrhea was found for the child having mother with no education as well as children aged 12-23 months. Conclusion: Age of child, mother education and wealth index found significant with diarrhea while Male children, child aged 12-23 months, child with no mother education, child from rural areas and child from poor households found with high risk of diarrhea.

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