The Effects of Mountaintop Removal Coal Mining on Mental Health, Well-Being, and Community Health in Central Appalachia

Ecopsychology ◽  
2012 ◽  
Vol 4 (3) ◽  
pp. 201-208 ◽  
Author(s):  
Paige Cordial ◽  
Ruth Riding-Malon ◽  
Hilary Lips
Keyword(s):  
Mental Health ◽  
Community Health ◽  
Coal Mining ◽  
Well Being ◽  
Mountaintop Removal ◽  
Central Appalachia

scholarly journals Improving community health networks for people with severe mental illness: a case study investigation

2015 ◽  
Vol 3 (5) ◽  
pp. 1-234 ◽  
Author(s):  
Vanessa Pinfold ◽  
Daryl Sweet ◽  
Ian Porter ◽  
Cath Quinn ◽  
Richard Byng ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Mental Illness ◽  
Severe Mental Illness ◽  
Community Health ◽  
Well Being ◽  
Personal Networks ◽  
System Level ◽  
Network Type ◽  
Care System

IntroductionPolicy drivers in mental health to address personal recovery, stigma and poor physical health indicate that new service solutions are required. This study aimed to understand how connections to people, places and activities were utilised by individuals with severe mental illness (SMI) to benefit health and wellbeing.MethodsA five-module mixed-methods design was undertaken in two study sites. Data were collected from 150 network-mapping interviews and 41 in-depth follow-up interviews with people with SMI; in-depth interviews with 30 organisation stakeholders and 12 organisation leaders; and 44 telephone interviews with practitioners. We undertook a three-stage synthesis process including independent lived experience feedback, and a patient and public involvement team participated in tool design, data collection, analysis and write-up.ResultsThree personal network types were found in our study using the community health network approach: diverse and active; family and stable; formal and sparse. Controlled for other factors we found only four variables significantly associated with which network type a participant had: living alone or not; housing status; formal education; long-term sickness or disability. Diagnosis was not a factor. These variables are challenging to address but they do point to potential for network change. The qualitative interviews with people with SMI provided further understanding of connection-building and resource utilisation. We explored individual agency across each network type, and identified recognition of the importance and value of social support and active connection management alongside the risks of isolation, even for those most affected by mental illness. We identified tensions in personal networks, be that relationships with practitioners or families, dealing with the impact of stigma, or frustrations of not being in employment, which all impact on network resources and well-being. The value of connectedness within personal networks of people, place and activity for supporting recovery was evident in shaping identity, providing meaning to life and sense of belonging, gaining access to new resources, structuring routines and helping individuals ‘move on’ in their recovery journey.Health-care practitioners recognised that social factors were important in recovery but reported system-level barriers (workload, administrative bureaucracy, limited contact time with clients) in addressing these issues fully. Even practitioners working in third-sector services whose remit involved increasing clients’ social connection faced restrictions due to being evaluated by outcome criteria that limited holistic recovery-focused practices. Service providers were keen to promote recovery-focused approaches. We found contrasts between recovery ideology within mental health policy and recovery practice on the ground. In particular, the social aspects of supporting people with SMI are often underprioritised in the health-care system. In a demanding and changing context, strategic multiagency working was seen as crucial but we found few examples of embedded multisector organisation partnerships.ConclusionWhile our exploratory study has limitations, findings suggest potential for people with SMI to be supported to become more active managers of their personal networks to support well-being regardless of current network type. The health and social care system does not currently deliver multiagency integrated solutions to support SMI and social recovery.FundingThe National Institute for Health Research Health Services and Delivery Research programme.

scholarly journals The Canadian Community Health Survey: Mental Health and Well-Being

2005 ◽  
Vol 50 (10) ◽  
pp. 573-579 ◽  
Author(s):  
Ronald Gravel ◽  
Yves Béland
Keyword(s):  
Mental Health ◽  
Data Collection ◽  
Community Health ◽  
Health Survey ◽  
Well Being ◽  
Canadian Community Health Survey ◽  
Computer Assisted ◽  
Community Health Survey ◽  
Interviewer Training ◽  
Health And Well Being

As part of the Canadian Community Health Survey (CCHS) biennial strategy, the provincial survey component of the first CCHS cycle (Cycle 1.2) focused on different aspects of the mental health and well-being of Canadians living in private dwellings. Moreover, the survey collected data on prevalences of specific mental disorders and problems, use of mental health services, and economic and personal costs of having a mental illness. Data collection began in May 2002 and extended over 8 months. More than 85% of all interviews were conducted face-to-face and used a computer-assisted application. The survey obtained a national response rate of 77%. This paper describes several key aspects of the questionnaire content, the sample design, interviewer training, and data collection procedures. A brief overview of the CCHS regional component (Cycle 1.1) is also given.

scholarly journals Weight, Weight Perceptions, and Health and Well-Being Among Canadian Adolescents: Evidence From the 2017-2018 Canadian Community Health Survey

2021 ◽  
pp. 089011712110310
Author(s):  
Lei Chai ◽  
Jia Xue
Keyword(s):  
Mental Health ◽  
Life Satisfaction ◽  
Community Health ◽  
Well Being ◽  
Canadian Community Health Survey ◽  
Normal Weight ◽  
Self Rated Health ◽  
Weight Perceptions ◽  
Community Health Survey ◽  
Health And Well Being

Purpose: The present study examines the extent to which (mis)matched weight and weight perceptions predict adolescents’ self-rated health, mental health, and life satisfaction. Design: Quantitative, cross-sectional study. Setting: Data from the 2017-2018 Canadian Community Health Survey (CCHS)—a nationally representative sample collected by Statistics Canada. Participants: Canadian adolescents aged between 12 and 17 (n = 8,081). Measures: The dependent variables are self-rated health, mental health, and life satisfaction. The independent variable is (mis)matched weight and weight perceptions. Analysis: We perform a series of ordinary least squares (OLS) regression models. Results: Overweight adolescents with overweight perceptions are associated with poorer self-rated health (b = −.546, p < .001 for boys; b = −.476, p < .001 for girls), mental health (b = −.278, p < .001 for boys; b = −.433, p < .001 for girls), and life satisfaction (b = −.544, p < .001 for boys; b = −.617, p < .001 for girls) compared to their counterparts with normal weight and normal weight perceptions. Similar patterns have also been observed among normal weight adolescents with overweight perceptions (e.g., normal weight adolescents with overweight perceptions are associated with poorer self-rated health (b = −.541, p < .01 for boys; b = −.447, p < .001 for girls)). Conclusion: Normal weight adolescents are not immune to adverse self-rated health, mental health, and life satisfaction because their weight perceptions are also a contributing factor to health and well-being consequences.

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