Mental Health Stigma: The Impact of Age and Gender on Attitudes

2020 ◽  
Vol 56 (5) ◽  
pp. 933-938
Author(s):  
Andrew Bradbury
Keyword(s):  
Mental Health ◽  
Mental Health Stigma ◽  
Age And Gender ◽  
And Gender ◽  
The Impact

scholarly journals The Impact of Mandate Contract and Self-Employment on Workers’ Health—Evidence from Poland

2021 ◽  
Vol 18 (6) ◽  
pp. 3138
Author(s):  
Katarzyna Piwowar-Sulej ◽  
Dominika Bąk-Grabowska
Keyword(s):  
Mental Health ◽  
Physical Health ◽  
Negative Impact ◽  
Length Of Service ◽  
Age And Gender ◽  
Self Employment ◽  
Research Findings ◽  
And Gender ◽  
Interviewing Technique ◽  
The Impact

The purpose of the study is to analyze the correlations between two clearly defined forms of non-standard employment (self-employment and mandate contract) and workers’ health. The study also addressed such variables as gender, age, length of service, and the reason for employment (voluntary vs. non-voluntary). The research was carried out in Poland in 2020 using the CATI method (a telephone interviewing technique), and it covered a sample of 200 workers (100 self-employed and 100 working under a mandate contract). Most of the respondents declared that their form of employment did not affect their health. However, the statistical analysis showed significant differences in health status between the self-employed and those working on a mandate contract. Self-employed respondents experienced mental health impacts more often, whereas those working under a mandate contract more frequently declared that their physical health was affected. The length of service was only important for mental health, having a negative impact on it. The respondents’ age and gender turned out to be statistically insignificant, which is in contradiction to many previous research findings. The inability to choose one’s form of employment resulted in worse physical health. These findings demonstrate the importance of certain variables that were not prioritized in previous studies and emphasize the need to clearly define what non-standard and precarious forms of employment are, as well as revealing new correlations between the studied categories and providing directions for further research.

scholarly journals Public Stigma on Depression Comorbid with Diabetes: A Vignette-Method Study in China

2021 ◽  
Author(s):  
Patrick Leung ◽  
Robin E. Gearing ◽  
Wanzhen Chen ◽  
Monit Cheung ◽  
Kathryne B. Brewer ◽  
...  
Keyword(s):  
Mental Health ◽  
Public Perception ◽  
Community Support ◽  
Future Research ◽  
Mental Health Stigma ◽  
Public Stigma ◽  
The Public ◽  
Health Related ◽  
And Gender ◽  
The Impact

Abstract Background: Depression and diabetes are common illnesses affecting individuals with health challenges and family stress. Research suggested stigma-reduction interventions for families facing health-related stressors. This study examined factors predicting public stigma on depression alone or comorbid with diabetes. Methods: In Shanghai, China, consented respondents to a community-based survey read one of four vignettes varied by depression types and gender of the Vignette Subject (VS). This vignette method measures each respondent’s Individualized Public Stigma score, attitude toward the subject’s family with the Devaluation of Consumer’s Families score, and problem seriousness leading to stress. Results: 125 respondents expressed views on depression or diabetes-associated depression via their answers to a randomly assigned vignette. Results show significant associations with Individualized Public Stigma when entering the regression model with five variables: problem seriousness, knowing someone with a mental health problem, subject’s gender, attitude toward the subject’s family, and depression comorbid with diabetes. Regression statistics showed that a person’s Individualized Public Stigma scores could be predicted by two of these variables: perceived problem seriousness and sympathy toward the affected family. Yet, comorbidity with diabetes was not a significant predictor of stigma. Conclusions: This study concludes that the cultural value toward community support could be an educational means to help the public realize the importance of protecting the families affected by mental health stigma. Applying this theory in action, practitioners must assess how self-stigmatization interfaces with the public perception of the patient's family. In addition, when people have a highly sympathetic attitude toward the patient’s family and perceive the presenting problem as severe, they must be aware of the impact of individualized stigma on the patient. Future research must focus on these cultural perspectives to support early anti-stigma interventions.

scholarly journals Social determinants of depression: association with age, gender and primary health care model

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
J China
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Primary Health Care ◽  
Social Determinants ◽  
Care Physician ◽  
Health Policies ◽  
Age And Gender ◽  
Primary Health ◽  
And Gender ◽  
Primary Health Care Physician

Abstract Background Depression is one of the most common mental disorders worldwide and is a major contributor to the overall global burden of disease. The social determinants of age, gender and access to a primary health care physician have been identified as significant determinants of variability in the prevalence of depression. This research evaluates the association between depression and these social determinants in the city of Almada, in Portugal. Methods This cross-sectional study reports the one-month prevalence (December, 2015) of depression and its association with age, gender and access to a primary health care doctor in Almada's primary health care population. Data was collected from the 'Information System of the Regional Health Administration' (SIARS) database. The diagnostic tools used for the identification of cases were the ICPC-2 codes 'P76: Depressive Disorder' and 'P03: Feeling Depressed'. An odds ratio was applied as an association measure. Results Regarding gender and age: women are more likely to develop depression than men (OR 3.21) and the age group of 40-64 years is more likely to develop depression compared with other age groups (OR 2.21). The odds of being affected by depression for patients with a permanent primary health care physician, compared with users without a permanent primary health care physician, are higher (OR 2.24). Conclusions The patterns of association of age and gender, uncovered in this dataset, are consistent with previously reported findings for other Western countries. The association between depression and the assignment of a permanent primary health care doctor is highly significant. This finding suggests the existence of a higher detection rate of depression in patients with a permanent doctor and adds weight to the need to implement health policies that guarantee a primary health care physician for each patient. Key messages The age and gender gap in depression calls for stronger public health and intersectoral strategies to promote and protect mental health, in community-based settings. Reducing barriers and enhancing access to high-quality primary medical care must be a cornerstone of mental health policies.

scholarly journals Exploring Impact of Age and Gender on Sentiment Analysis Using Machine Learning

Electronics ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 374 ◽  
Author(s):  
Sudhanshu Kumar ◽  
Monika Gahalawat ◽  
Partha Pratim Roy ◽  
Debi Prosad Dogra ◽  
Byung-Gyu Kim
Keyword(s):  
Machine Learning ◽  
Sentiment Analysis ◽  
Short Term Memory ◽  
Age Groups ◽  
Modern World ◽  
Support Vector ◽  
Digital Information ◽  
Age And Gender ◽  
And Gender ◽  
The Impact

Sentiment analysis is a rapidly growing field of research due to the explosive growth in digital information. In the modern world of artificial intelligence, sentiment analysis is one of the essential tools to extract emotion information from massive data. Sentiment analysis is applied to a variety of user data from customer reviews to social network posts. To the best of our knowledge, there is less work on sentiment analysis based on the categorization of users by demographics. Demographics play an important role in deciding the marketing strategies for different products. In this study, we explore the impact of age and gender in sentiment analysis, as this can help e-commerce retailers to market their products based on specific demographics. The dataset is created by collecting reviews on books from Facebook users by asking them to answer a questionnaire containing questions about their preferences in books, along with their age groups and gender information. Next, the paper analyzes the segmented data for sentiments based on each age group and gender. Finally, sentiment analysis is done using different Machine Learning (ML) approaches including maximum entropy, support vector machine, convolutional neural network, and long short term memory to study the impact of age and gender on user reviews. Experiments have been conducted to identify new insights into the effect of age and gender for sentiment analysis.

scholarly journals Estimation of liver size for liver transplantation: The impact of age and gender

2004 ◽  
Vol 10 (5) ◽  
pp. 678-685 ◽  
Author(s):  
Alexander Choukèr ◽  
André Martignoni ◽  
Martin Dugas ◽  
Wolfgang Eisenmenger ◽  
Rolf Schauer ◽  
...  
Keyword(s):  
Liver Transplantation ◽  
Liver Size ◽  
Age And Gender ◽  
And Gender ◽  
The Impact

Bargaining over Remittances in Tajik Extended Families

2021 ◽  
Vol 8 (3) ◽  
pp. 229-250
Author(s):  
Sabiha Yeasmin Rosy ◽  
Fatemeh Nejati
Keyword(s):  
International Migration ◽  
Labor Migration ◽  
Gender Norms ◽  
Transnational Families ◽  
Age And Gender ◽  
Extended Families ◽  
And Gender ◽  
The Impact ◽  
Gender Specific

Abstract This study investigates the impact of male labor migration upon wives living among their husbands’ extended families in Tajikistan. It studies the risks and choices available to such wives in bargaining for remittances, with a particular focus on the risks that daughters-in-law (kelin in Tajik) undertake when negotiating remittances with their mothers-in-law. This paper explores age and gender-specific norms in Tajik transnational families and their minimal opportunities for kelins to bargain and negotiate the risks associated with making “claims” on remittances by using Deniz Kandiyoti’s “patriarchal bargain” and Bina Agarwal’s household bargain framework, as well as extensive fieldwork conducted in Tajikistan. The study concludes that international migration and remittances have had a complex impact on gender norms in Tajikistan, with emerging new forms of passive negotiation by kelins unlikely to undermine patriarchal gender norms in their favor.

scholarly journals Patients’ general satisfaction with the appearance of anterior maxillary teeth

2017 ◽  
Vol 74 (6) ◽  
pp. 520-525 ◽  
Author(s):  
Vlatka Lajnert ◽  
Daniela Kovacevic-Pavicic ◽  
Hrvoje Pezo ◽  
Aleksandra Stevanovic ◽  
Tatjana Jovic ◽  
...  
Keyword(s):  
Dental Plaque ◽  
Negative Influence ◽  
Cross Sectional ◽  
Age And Gender ◽  
Tooth Shape ◽  
General Satisfaction ◽  
Anterior Teeth ◽  
Dental Appearance ◽  
And Gender ◽  
The Impact

Background/Aim. Dental appearance plays an important role in practically all personal social interactions. The main factors that define the dental appearance are tooth colour, shape and position, quality of restoration, and the general position of the teeth in arch, especially in the anterior region. The aim of this study was to evaluate the impact of dental status (tooth shape, fracture, dental and prosthetic restorations and presence of plaque) on patient''s satisfaction with the dental appearance, controlling for the age and gender. Methods. A total of 700 Caucasian subjects (439 women) aged 18?86 (median 45 years) participated in the cross-sectional study. Study included clinical examination and self-administrated questionnaire based on selfperceived aesthetics and satisfaction with the appearance of their maxillary anterior teeth. Results. A regression analysis demonstrated that presence of dental plaque, tooth fracture, composite fillings and crowns had significant independent contribution and were negative predictors of satisfaction with teeth appearance. Participants with presence of plaque on upper teeth (p < 0.001), fractures (p = 0.005), composite fillings (p < 0.001) and crowns (p = 0.032) were less satisfied than those without it. Model explains 12% or variance of general satisfaction with the appearance of maxillary frontal teeth (p < 0.001) and the major contributors are composite fillings (5.3%) and plaque (3.2%). Tooth shape, age and gender were not significant predictors of satisfaction. Conclusion. Satisfaction with the teeth appearance is under the influence of many factors with significant negative influence of presence of dental plaque, fractures, composite restorations, and crowns.

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