Sexual Harassment AND Its effects on Mental Health OF THE Teenage School Girls in Lalitpur and rupandehi district

A cross-sectional study was conducted to find the prevalence of mental health on teenage girl students and the effect of sexual harassment on their mental health: depression, anxiety, and stress. A concurrent mixed method was used and the study was conducted at both community and institutional schools of Lalitpur and Rupendehi districts. A semi-structured questionnaire was used for quantitative data collection along with DASS (42 points) test to measure depression, anxiety, and depression. Focus group discussion (FGD), in-depth interviews (IDI), and key informant information (KII) were used for qualitative data collection. Poor and ill mental health were found among the respondents and the prevalence of depression, anxiety and stress were 45%, 52%, and 35% respectively among the sexually harassed girl. As sexual harassment was found as one of the major factors that responsible for the poor mental health status of girl students, it is necessary for every school to adopt anti-sexual harassment policies and to take action against it to create a healthy learning environment.

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Sexual Harassment and its Effects on the Mental Health of the Adolescents School Girls in Lalitpur and Rupandehi District

Tribhuvan University Journal ◽

10.3126/tuj.v35i2.36192 ◽

2020 ◽

Vol 35 (2) ◽

pp. 72-88

Author(s):

Kalpana Gyawali

Keyword(s):

Mental Health ◽

Data Collection ◽

Sexual Harassment ◽

Group Discussion ◽

Score Test ◽

Cross Sectional Study ◽

Poor Mental Health ◽

Cross Sectional ◽

Major Factors ◽

Girl Students

A cross-sectional study was conducted to find the prevalence of mental health on adolescent girl students and the effect of sexual harassment on their mental health: depression, anxiety, and stress. A concurrent mixed method was used and the study was conducted at both community and institutional schools of Lalitpur and Rupendehi districts. A semi-structured questionnaire was used for quantitative data collection along with depression, anxiety and stress score test (DASS -42 points) to measure depression, anxiety, and stress. Focus group discussion (FGD), in-depth interviews (IDI), and key informant information (KII) were used for qualitative data collection. Poor and ill mental health were found among the respondents and the prevalence of depression, anxiety and stress were45%, 52%, and 35% respectively among the sexually harassed girls. As sexual harassment was found as one of the major factors that is responsible for the poor mental health status of girl students, it is necessary for every school to adopt antisexualharassmentpoliciesandtotakeactionagainstittocreateahealthylearningenvironment.

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Parental mental health during COVID-19 pandemic in Tamil Nadu: a cross sectional study

International Journal of Community Medicine and Public Health ◽

10.18203/2394-6040.ijcmph20214613 ◽

2021 ◽

Vol 8 (12) ◽

pp. 6047

Author(s):

Hari Krishnan R. ◽

Hanitha Rajasekar ◽

Suganthi S.

Keyword(s):

Mental Health ◽

Health Status ◽

Mental Health Problems ◽

Cross Sectional Study ◽

Poor Mental Health ◽

Mental Health Status ◽

Online Classes ◽

Sectional Study ◽

Parental Mental Health ◽

Cross Sectional

Background: The whole world became still, when a major pandemic COVID-19 started its toll across all developed and developing countries. It has caused both physical and emotional disturbances among all age groups. This study was done to evaluate the parental mental health in COVID-19 as this group is not given much importance. The major mental health problems associated with COVID-19 among parents are due to online classes which has caused depression, anxiety and stress.Methods: A cross-sectional study done among all parents, especially those of whose children are attending online class were included in the study. Convenient sampling was used to select 204 participants, GHQ 12 questionnaire was used for data collection on mental health status among parents.Results: Overall prevalence of parents with better mental health <19 was 108 (52.9%) and prevalence of parents with poor mental health >19 was 96 (47.1%).Conclusions: This study concluded that parental age of 31 to 40 years who are employed and have children studying in primary school to have a poor mental health status. The most important contributing factors for poor parental health were online classes for children and work place stress.

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Investigating the effect of social networking site use on mental health in an 18–34 year-old general population; a cross-sectional study using the 2016 Scania Public Health Survey

BMC Public Health ◽

10.1186/s12889-020-09732-z ◽

2020 ◽

Vol 20 (1) ◽

Author(s):

Emily Stella Scott ◽

Catarina Canivet ◽

Per-Olof Östergren

Keyword(s):

Public Health ◽

Mental Health ◽

Young Adults ◽

Social Networking ◽

Cross Sectional Study ◽

Poor Mental Health ◽

Effect Modification ◽

Sectional Study ◽

Cross Sectional ◽

Public Health Survey

Abstract Background Social Networking Sites (SNS) are commonly used, especially by young adults. Their impact on mental health is unclear. Moreover, little is known about how social factors, e.g. Perceived Emotional Support (PES), may affect this association. Mental health issues are increasingly burdening the young generation and society as a whole. This study aims to investigate the association between frequency of SNS use and number of SNS contacts with the mental health of a young, Swedish population. Additionally, the potential effect modification of PES will be analysed in regard to these relationships. Method This cross-sectional study applied logistic regression analyses to data on 1341 participants (aged 18–34), retrieved from the Scania Public Health Survey (2016). Analyses were stratified by gender and the GHQ-12 scale assessed poor mental health. A 2-way interaction model was used to test for effect modification by PES regarding the association between SNS use and mental health. Results Increased risk for poor mental health was found in women only. Using SNS almost hourly vs. less often resulted in an odds ratio (OR) of 1.66 (95% confidence interval (CI) = 1.16–2.38). The corresponding figures for having ≥600 contacts vs. ≤599 were (1.89; 1.21–2.97). Having low PES and using SNS almost hourly was associated with an OR of 3.12 (CI = 1.69–5.76; synergy index (SI) = 1.25). Low PES and ≥ 600 contacts resulted in an OR of 6.07 (CI = 1.73–21.33), whereby interaction was detected (SI = 2.88). Conclusion Women, but not men, with frequent SNS use and a high number of SNS contacts were more likely to have poor mental health, which was exacerbated in women with low PES. Facilitating PES could be an approach for improving mental health among young adults. Future studies on the use of SNS should focus more on gender analyses.

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Association of socioeconomic and lifestyle-related risk factors with mental health conditions: a cross-sectional study

BMC Public Health ◽

10.1186/s12889-019-8022-4 ◽

2019 ◽

Vol 19 (1) ◽

Cited By ~ 3

Author(s):

Miwako Nagasu ◽

Kazutaka Kogi ◽

Isamu Yamamoto

Keyword(s):

Mental Health ◽

Cross Sectional Study ◽

Lifestyle Factors ◽

Poor Mental Health ◽

Disposable Income ◽

Health Conditions ◽

Unhealthy Lifestyle ◽

Cross Sectional ◽

Mental Health Conditions ◽

Household Disposable Income

Abstract Background There is rising public concern over the widening health inequalities in many countries. The aim of this study was to clarify the associations of socioeconomic status (SES)-related variables, such as levels of household disposable income and employment status, and lifestyle factors with mental health conditions among Japanese adults aged 40 to 69. Methods A cross-sectional study of 3085 participants (1527 males and 1558 females) was undertaken by using a self-administered questionnaire that included the Japanese version of the 12-item General Health Questionnaire (GHQ-12) and questions related to socioeconomic and lifestyle factors. Results The prevalence of poor mental health conditions, represented by a GHQ-12 score of 4 or more, was 33.4% among males and 40.4% among females. Males whose annual household disposable income was less than 2 million yen had significantly higher GHQ-12 scores than those with an annual household disposable income above 2 million yen. As per binary logistic regression analyses, short sleep duration and the absence of physical exercise were significantly related to poor mental health conditions among both males and females. Among females, a household disposable income of less than 2 million yen could be a risk factor for poor mental health conditions. Age and habitual drinking were inversely associated with poor mental health conditions. Conclusions Low levels of household disposable income and unhealthy lifestyle factors were significantly associated with mental health conditions. These results suggest the importance of improving unhealthy lifestyle behaviours and developing effective health promotion programmes. In addition, there is a need for social security systems for people from different socioeconomic backgrounds.

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Employment Precariousness and Poor Mental Health: Evidence from Spain on a New Social Determinant of Health

Journal of Environmental and Public Health ◽

10.1155/2013/978656 ◽

2013 ◽

Vol 2013 ◽

pp. 1-10 ◽

Cited By ~ 58

Author(s):

Alejandra Vives ◽

Marcelo Amable ◽

Montserrat Ferrer ◽

Salvador Moncada ◽

Clara Llorens ◽

...

Keyword(s):

Mental Health ◽

Evidence Base ◽

Population Based ◽

Cross Sectional Study ◽

Social Determinant ◽

Poor Mental Health ◽

Cross Sectional ◽

Precarious Employment ◽

Prevalence Proportion ◽

Permanent Workers

Background.Evidence on the health-damaging effects of precarious employment is limited by the use of one-dimensional approaches focused on employment instability. This study assesses the association between precarious employment and poor mental health using the multidimensional Employment Precariousness Scale.Methods.Cross-sectional study of 5679 temporary and permanent workers from the population-based Psychosocial Factors Survey was carried out in 2004-2005 in Spain. Poor mental health was defined as SF-36 mental health scores below the 25th percentile of the Spanish reference for each respondent’s sex and age. Prevalence proportion ratios (PPRs) of poor mental health across quintiles of employment precariousness (reference: 1st quintile) were calculated with log-binomial regressions, separately for women and men.Results.Crude PPRs showed a gradient association with poor mental health and remained generally unchanged after adjustments for age, immigrant status, socioeconomic position, and previous unemployment. Fully adjusted PPRs for the 5th quintile were 2.54 (95% CI: 1.95–3.31) for women and 2.23 (95% CI: 1.86–2.68) for men.Conclusion.The study finds a gradient association between employment precariousness and poor mental health, which was somewhat stronger among women, suggesting an interaction with gender-related power asymmetries. Further research is needed to strengthen the epidemiological evidence base and to inform labour market policy-making.

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Mental Health in Health Students during Coronavirus Disease-19: Systematic Review

Open Access Macedonian Journal of Medical Sciences ◽

10.3889/oamjms.2021.5841 ◽

2021 ◽

Vol 9 (F) ◽

pp. 205-210

Author(s):

Agus Purnama ◽

Susaldi Susaldi ◽

Halma Zahro Mukhlida ◽

Hilma Hasro Maulida ◽

Nyimas Heny Purwati

Keyword(s):

Mental Health ◽

Systematic Review ◽

Mental Health Problems ◽

Cross Sectional Study ◽

Poor Mental Health ◽

Inclusion Criteria ◽

Letters To The Editor ◽

Exclusion Criteria ◽

Cross Sectional ◽

Psychological Conditions

Purpose: This study aims to examine the description of mental health characteristics of health students who conducted studies during the COVID-19 pandemic. Methods: The design of this study is to use a systematic review approach by collecting several articles from a database that has been selected consisting of Springer. , ScienceDirect and ProQuest with articles published in 2020. Search for articles was carried out by entering the keyword "mental health AND student AND COVID-19". The search for this article was limited to inclusion criteria and exclusion criteria. The inclusion criteria in this study were health students who were still conducting studies during the COVID-19 pandemic and a cross-sectional study design, while the exclusion criteria were non-health students, only abstracts and books, and letters to the editor. Results: After a search on the selected database, the results are 677 Springer articles, 554 direct articles, and 1348 ProQuest articles. 11 were removed for duplicates, 444 full texts were reviewed and 6 articles matched inclusion and exclusion criteria. The results of the 6 articles that were reviewed showed that the majority of health students reported mental health problems such as anxiety, depression, stress, and another emotional status. Where moderate and severe levels of anxiety were experienced by some Health students who carried out education during the Covid-19 pandemic. Conclusion: The COVID-19 pandemic has an impact on psychological conditions, especially on health students who are carrying out their education. Students report poor mental health conditions while carrying out home education by learning online during the COVID-19 pandemic.

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Prevalence of Depression and its Associated Factors Among Hypertensive Patients: A Cross Sectional Study

Journal of Health and Allied Sciences ◽

10.37107/jhas.186 ◽

2020 ◽

Vol 10 (1) ◽

pp. 36-41

Author(s):

Divya Rayamajhi ◽

Shreejana Wagle ◽

Arun Karki

Keyword(s):

Mental Health ◽

Physical Condition ◽

Random Sampling ◽

Sampling Technique ◽

Cross Sectional Study ◽

Poor Mental Health ◽

Sectional Study ◽

Cross Sectional ◽

Hypertensive Patients ◽

The Mean

Introduction: Mental health and physical health are association with each other’s: poor mental health is a risk factor for chronic physical condition and it significantly impact on people’s quality of life. The social determinants of health impact on both chronic physical condition and mental health. The purpose of this study was to determine the prevalence sub-clinical depression and factors associated with depression among the hypertensive out patients’ department ofhospitals in Pokhara. Methods: A hospital based cross-sectional study design was conducted among 215 hypertensive patient visiting OPD ward of selected hospitals of Pokhara Metropolitan City. Depression levels were assessed using the Beck Depression Inventory-Ia (BDI) scale. Demographics and risk factors were assessed. Systematic random sampling was conducted for selecting hospitals and proportionate random sampling technique was used to make the sample representative of hospitals. Results: Out of the total 215 hypertensive patients and around fifty-nine percentage were males and the mean age of respondents is 52 +12.04 years. Around one-third of the hypertensive patients had depression. The mean BDI-Ia score for depression status having respondent was 16.88±16.45. Conclusions: This study provides the evidence of depression is associate with hypertensive patient’s socio-demographic factors such as sex, age, marital status, employment and income and behavioral factors. Hypertensive patients should be encouraged to increase their physical activities and family support.

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The Role of Individual and Neighborhood Characteristics on Mental Health after a Period of Economic Crisis in the Lisbon Region (Portugal): A Multilevel Analysis

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph16152647 ◽

2019 ◽

Vol 16 (15) ◽

pp. 2647 ◽

Cited By ~ 6

Author(s):

Loureiro ◽

Santana ◽

Nunes ◽

Almendra

Keyword(s):

Mental Health ◽

Economic Crisis ◽

Cross Sectional Study ◽

Poor Mental Health ◽

Individual Characteristics ◽

Neighborhood Environment ◽

Neighborhood Characteristics ◽

Multilevel Regression ◽

Cross Sectional ◽

The Individual

Mental health is an intrinsic dimension of health influenced by individual and contextual factors. This cross-sectional study analyzes the association between the individual, neighborhood characteristics, and one’s self-assessed mental health status in the Lisbon region after an economic crisis. Via the application of multilevel regression models, the study assesses the link between one’s neighborhood environment—deprivation, low self-assessed social capital, and low self-assessed satisfaction with the area of residence—and mental health regardless of one’s individual characteristics. Constraints related to the economic crisis play an important role in the explanation of poor mental health.

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Association for combined exposure to job strain, shift work on mental health among Chinese railway workers: a cross-sectional study

BMJ Open ◽

10.1136/bmjopen-2020-037544 ◽

2020 ◽

Vol 10 (10) ◽

pp. e037544

Author(s):

Yu Jiang ◽

Chuancheng Wu ◽

Tianqi Hu ◽

Meilong Chen ◽

Wei Liu ◽

...

Keyword(s):

Mental Health ◽

Shift Work ◽

Job Strain ◽

Cross Sectional Study ◽

Poor Mental Health ◽

Sectional Study ◽

Cross Sectional ◽

Low Level ◽

Railway Workers ◽

Night Shifts

ObjectivesThe aim of this study was to assess the effects of coexposure to job strain and shift work on mental health in railway workers.DesignCross-sectional study.SettingOne Railway Bureau Group in China.ParticipantsA total of 1270 front-line railway workers.Outcome measuresThe Symptom Checklist-90-Revised questionnaire was used to measure general mental health. Job strain variables were derived from the Job Content Questionnaire. Based on the records of the work schedule 3 months prior to the survey, the following three shift types were identified: fixed day, fixed night and rotating night shifts. Risks associated with mental health were assessed by carrying out logistic regression analysis which was adjusted for age, job tenure, smoking and exercise. Additionally, a crossover analysis was employed for the combined effects.ResultsHigh levels of job strain were linked to a higher risk of poor mental health (OR=1.53, 95% CI: 1.10 to 2.11). After adjusting for confounding factors, night shifts and rotating night shifts were significant risk factors for mental health (OR=2.21, 95% CI: 1.60 to 3.07; OR=2.36, 95% CI: 1.73 to 3.22). Compared with participants who experienced a low level of job strain and day shifts, those with a high level of job strain and who worked rotating shifts were at the highest risk of poor mental health (OR=4.68, 95% CI: 2.91 to 8.04), whereas the influence of a low level of job strain and rotating night shifts was not statistically significant.ConclusionJob strain and night shifts among workers were associated, both independently and in combination, with an increased risk of poor mental health. Our data suggest that job strain contributes to the risk of poor mental health by means of a combined effect with shift work.

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