scholarly journals Common mental health conditions among navy divers: A brief report

2020 ◽  
Vol 50 (4) ◽  
pp. 417-420
Author(s):  
Charles H Van Wijk ◽  
◽  
Jarred H Martin ◽  
Nazneen Firfirey ◽  
◽  
...  

(Van Wijk CH, Martin JH, Firfirey N. Common mental health conditions among navy divers: A brief report. Diving and Hyperbaric Medicine. 2020 December 20;50(4):417–420. doi: 10.28920/dhm50.4.417-420. PMID: 33325025.) Introduction: A recent article reported on common mental health conditions among recreational scuba divers, and observed that the prevalence mirrored national population figures. This raised the question of the extent to which this might also be the case among professional divers. No data on commercial divers could be located; this paper presents the situation among navy divers. Methods: Mental health survey data from 132 South African Navy divers were reviewed to describe the 12-month prevalence of common mood, anxiety, and alcohol misuse disorders. Results: Prevalence of common mood and anxiety conditions appeared to reflect local general population estimates, and the occurrence of alcohol misuse was higher than local population figures, although the usefulness of the population data could be challenged. Conclusions: It appeared that common mental health conditions in both sport and navy divers may generally conform to their respective local general population estimates. If this were to be the case in the broader professional diving environment as well, the inclusion of some form of formal mental health screening during commercial diving medical examinations may be beneficial.

2020 ◽  
Vol 45 (2) ◽  
pp. 81-89
Author(s):  
Hyun-Jin Jun ◽  
Jordan E DeVylder ◽  
Lisa Fedina

Abstract Police violence is reportedly common among those diagnosed with mental disorders characterized by the presence of psychotic symptoms or pronounced emotional lability. Despite the perception that people with mental illness are disproportionately mistreated by the police, there is relatively little empirical research on this topic. A cross-sectional general population survey was administered online in 2017 to 1,000 adults in two eastern U.S. cities to examine the relationship between police violence exposure, mental disorders, and crime involvement. Results from hierarchical logistic regression and mediation analyses revealed that a range of mental health conditions are broadly associated with elevated risk for police violence exposure. Individuals with severe mental illness are more likely than the general population to be physically victimized by police, regardless of their involvement in criminal activities. Most of the excess risk of police violence exposure related to common psychiatric diagnoses was explained by confounding factors including crime involvement. However, crime involvement may necessitate more police contact, but does not necessarily justify victimization or excessive force (particularly sexual and psychological violence). Findings support the need for adequate training for police officers on how to safely interact with people with mental health conditions, particularly severe mental illness.


BJPsych Open ◽  
2017 ◽  
Vol 3 (5) ◽  
pp. 243-248 ◽  
Author(s):  
Laura A. Hughes-McCormack ◽  
Ewelina Rydzewska ◽  
Angela Henderson ◽  
Cecilia MacIntyre ◽  
Julie Rintoul ◽  
...  

BackgroundThere are no previous whole-country studies on mental health and relationships with general health in intellectual disability populations; study results vary.AimsTo determine the prevalence of mental health conditions and relationships with general health in a total population with and without intellectual disabilities.MethodNinety-four per cent completed Scotland's Census 2011. Data on intellectual disabilities, mental health and general health were extracted, and the association between them was investigated.ResultsA total of 26 349/5 295 403 (0.5%) had intellectual disabilities. In total, 12.8% children, 23.4% adults and 27.2% older adults had mental health conditions compared with 0.3, 5.3 and 4.5% of the general population. Intellectual disabilities predicted mental health conditions; odds ratio (OR)=7.1 (95% CI 6.8–7.3). General health was substantially poorer and associated with mental health conditions; fair health OR=1.8 (95% CI 1.7–1.9), bad/very bad health OR=4.2 (95% CI 3.9–4.6).ConclusionsThese large-scale, whole-country study findings are important, given the previously stated lack of confidence in comparative prevalence results, and the need to plan services accordingly.


Author(s):  
Neethu Prakashan

This article represents a narrative description of my data collection journey and the experience of working with children residing at Child Care Institution (CCI) like children’s home. It outlines my experience in a creative language and also draws attention to the challenges I faced, be it seeking permission from the concerned authorities or visiting the children’s home to actually working with the children. The procedures to access these children are quite lengthy and strenuous. Overall, this article highlights my experiences as a researcher, working with the children, the lessons I learnt and dealing with challenges imposed by COVID-19. In conclusion, through this experience article, I intend to make my fellow researchers aware of the procedures and challenges involved in dealing with this population, data collection process, which could benefit them to prepare accordingly, and to recommend to the caretakers and stakeholders the need for research in this area and promote activities to enhance mental health conditions.


2016 ◽  
Vol 15 (4) ◽  
pp. 184-187 ◽  
Author(s):  
Katy Harker ◽  
Hazel Cheeseman

Purpose Mental health conditions affect almost a quarter of the population who die on average 10-20 years earlier than the general population. Smoking is the single largest cause of this gap in life expectancy. Smoking rates among people with mental health conditions have barely changed over the last 20 years during a time when rates have been steadily falling in the general population. Action is needed to address the growing difference in smoking rates among those with a mental health condition compared to the general population. The paper aims to discuss these issues. Design/methodology/approach This work has been informed by the input of a wide range of experts and professionals from across public health, mental health and the wider NHS. Findings People with a mental health condition are just as likely to want to stop smoking as other smokers but they face more barriers to quitting and are more likely to be dependant and therefore need more support. Quitting smoking does not exacerbate poor mental health; in fact the positive impact of smoking cessation on anxiety and depression appears to be at least as large as antidepressants. Originality/value The full report outlines the high-level ambitions and the specific actions that must be realised to drive down smoking rates among those with a mental health condition.


2020 ◽  
Author(s):  
Bu Zhong ◽  
Zhibin Jiang ◽  
Wenjing Xie ◽  
Xuebing Qin

BACKGROUND Considerable research has been devoted to examining the mental health conditions of patients with COVID-19 and medical staff attending to these patients during the COVID-19 pandemic. However, there are few insights concerning how the pandemic may take a toll on the mental health of the general population, and especially of nonpatients (ie, individuals who have not contracted COVID-19). OBJECTIVE This study aimed to investigate the association between social media use and mental health conditions in the general population based on a national representative sample during the peak of the COVID-19 outbreak in China. METHODS We formed a national representative sample (N=2185) comprising participants from 30 provinces across China, who were the first to experience the COVID-19 outbreak in the world. We administered a web-based survey to these participants to analyze social media use, health information support received via social media, and possible psychiatric disorders, including secondary traumatic stress (STS) and vicarious trauma (VT). RESULTS Social media use did not cause mental health issues, but it mediated the levels of traumatic emotions among nonpatients. Participants received health information support via social media, but excessive social media use led to elevated levels of stress (<i>β</i>=.175; <i>P</i>&lt;.001), anxiety (<i>β</i>=.224; <i>P</i>&lt;.001), depression (<i>β</i>=.201; <i>P</i>&lt;.001), STS (<i>β</i>=.307; <i>P</i>&lt;.001), and VT (<i>β</i>=.688; <i>P</i>&lt;.001). Geographic location (or geolocation) and lockdown conditions also contributed to more instances of traumatic disorders. Participants living in big cities were more stressed than those living in rural areas (<i>P</i>=.02). Furthermore, participants from small cities or towns were more anxious (<i>P</i>=.01), stressed (<i>P</i>&lt;.001), and depressed (<i>P</i>=.008) than those from rural areas. Obtaining more informational support (<i>β</i>=.165; <i>P</i>&lt;.001) and emotional support (<i>β</i>=.144; <i>P</i>&lt;.001) via social media increased their VT levels. Peer support received via social media increased both VT (<i>β</i>=.332; <i>P</i>&lt;.001) and STS (<i>β</i>=.130; <i>P</i>&lt;.001) levels. Moreover, geolocation moderated the relationships between emotional support on social media and VT (<i>F</i><sub>2</sub>=3.549; <i>P</i>=.029) and the association between peer support and STS (<i>F</i><sub>2</sub>=5.059; <i>P</i>=.006). Geolocation also interacted with health information support in predicting STS (<i>F</i><sub>2</sub>=5.093; <i>P</i>=.006). CONCLUSIONS COVID-19 has taken a severe toll on the mental health of the general population, including individuals who have no history of psychiatric disorders or coronavirus infection. This study contributes to the literature by establishing the association between social media use and psychiatric disorders among the general public during the COVID-19 outbreak. The study findings suggest that the causes of such psychiatric disorders are complex and multifactorial, and social media use is a potential factor. The findings also highlight the experiences of people in China and can help global citizens and health policymakers to mitigate the effects of psychiatric disorders during this and other public health crises, which should be regarded as a key component of a global pandemic response.


10.2196/23696 ◽  
2020 ◽  
Vol 22 (12) ◽  
pp. e23696
Author(s):  
Bu Zhong ◽  
Zhibin Jiang ◽  
Wenjing Xie ◽  
Xuebing Qin

Background Considerable research has been devoted to examining the mental health conditions of patients with COVID-19 and medical staff attending to these patients during the COVID-19 pandemic. However, there are few insights concerning how the pandemic may take a toll on the mental health of the general population, and especially of nonpatients (ie, individuals who have not contracted COVID-19). Objective This study aimed to investigate the association between social media use and mental health conditions in the general population based on a national representative sample during the peak of the COVID-19 outbreak in China. Methods We formed a national representative sample (N=2185) comprising participants from 30 provinces across China, who were the first to experience the COVID-19 outbreak in the world. We administered a web-based survey to these participants to analyze social media use, health information support received via social media, and possible psychiatric disorders, including secondary traumatic stress (STS) and vicarious trauma (VT). Results Social media use did not cause mental health issues, but it mediated the levels of traumatic emotions among nonpatients. Participants received health information support via social media, but excessive social media use led to elevated levels of stress (β=.175; P<.001), anxiety (β=.224; P<.001), depression (β=.201; P<.001), STS (β=.307; P<.001), and VT (β=.688; P<.001). Geographic location (or geolocation) and lockdown conditions also contributed to more instances of traumatic disorders. Participants living in big cities were more stressed than those living in rural areas (P=.02). Furthermore, participants from small cities or towns were more anxious (P=.01), stressed (P<.001), and depressed (P=.008) than those from rural areas. Obtaining more informational support (β=.165; P<.001) and emotional support (β=.144; P<.001) via social media increased their VT levels. Peer support received via social media increased both VT (β=.332; P<.001) and STS (β=.130; P<.001) levels. Moreover, geolocation moderated the relationships between emotional support on social media and VT (F2=3.549; P=.029) and the association between peer support and STS (F2=5.059; P=.006). Geolocation also interacted with health information support in predicting STS (F2=5.093; P=.006). Conclusions COVID-19 has taken a severe toll on the mental health of the general population, including individuals who have no history of psychiatric disorders or coronavirus infection. This study contributes to the literature by establishing the association between social media use and psychiatric disorders among the general public during the COVID-19 outbreak. The study findings suggest that the causes of such psychiatric disorders are complex and multifactorial, and social media use is a potential factor. The findings also highlight the experiences of people in China and can help global citizens and health policymakers to mitigate the effects of psychiatric disorders during this and other public health crises, which should be regarded as a key component of a global pandemic response.


2021 ◽  
Vol 12 ◽  
Author(s):  
Alicia Boluarte-Carbajal ◽  
Alba Navarro-Flores ◽  
David Villarreal-Zegarra

BackgroundThe COVID-19 pandemic had negatively impact mental health worldwide. High prevalence of stress had been previously reported in populations during this context. Many theoretical frameworks had been proposed for explaining the stress process, we aim to proposed and explanatory model for the genesis of perceived stress in Peruvian general population.MethodWe conducted an online survey in Peruvian general population assessing sociodemographic variables and evaluating mental health conditions by using The Perceived Stress Scale (PSS-10), Positive Affect and Negative Affect Scale (PANAS), Generalized Anxiety Disorder scale (GAD-7), Patient Health Questionnaire (PHQ-9), and a numerical rating scale (NRS) for fear of COVID-19. Correlation analysis was conducted for the variables of interest. Two regression models were constructed to explore related factor to the dimensions of perceived stress. Finally, a structural regression model was performed with the independent variables.ResultsData of 210 individuals was analyzed. Ages ranged from 15 to 74 years and 39% were women. Additionally, 65.2% of the participants had at least one mental health conditions (depression, anxiety, or stress symptoms). Perceived self-efficacy and positive affect (PA) were correlated, as perceived helplessness with anxious symptoms and negative affect (NA). Regression analysis showed that sex, anxiety symptoms, and NA explained perceived helplessness while positive and NA explained self-efficacy. The structural regression model analysis identified that fear of COVID-19 (composed of fear of infecting others and fear of contagion), predicted mental health conditions (i.e., depressive or anxiety symptoms); also, mental health conditions were predicted by PA and NA. Perceived helplessness and Perceived self-efficacy were interrelated and represented the perceived stress variable.ConclusionWe proposed an explanatory model of perceived stress based on two correlated dimensions (self-efficacy and helplessness) in the Peruvian general population during the context of the COVID-19 pandemic, with two out of three individuals surveyed having at least one mental health condition.


2021 ◽  
Vol 2 (1) ◽  
pp. 50-56
Author(s):  
Sindi Dandala ◽  
Magaille Hodambia

This article is devoted to exploring the mental wellbeing problems of youth and the ones that occur in their everyday lives. The study was carried out using a random survey of 150 teens. more teenagers (neglect or physical and family influence) are conditions that influence teenage mental wellbeing, the study on 150 adolescent subjects revealed that 45% (dispute and family) caused these (high risk behavior). The adolescent has to deal with numerous conditions, both positive and negative, that stem from the background around them. It can also affect the appearance of mental health conditions such as insomnia, sleep disorders, and some times nervous anxiety. Additionally, mental health conditions are also stigmatized in the general public eye. Thus, substantial mental health education is essential for the general population to remember.


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