scholarly journals Small area deprivation and stigmatising attitudes towards mental illness: a multilevel analysis of Health Survey for England (2014) data

2019 ◽  
Vol 54 (11) ◽  
pp. 1379-1389 ◽  
Author(s):  
Elizabeth Ingram ◽  
Rebecca Jones ◽  
Peter Schofield ◽  
Claire Henderson
Keyword(s):  
Mental Illness ◽  
Multilevel Analysis ◽  
Health Survey ◽  
Small Area ◽  
Area Deprivation ◽  
Health Survey For England

scholarly journals Mental well-being and recovery in serious mental illness: associations between mental well-being and functional status in the Health Survey for England 2014

BJPsych Open ◽  
2020 ◽  
Vol 6 (4) ◽  
Author(s):  
Sarah Chan ◽  
Scott Weich
Keyword(s):  
Mental Illness ◽  
Functional Status ◽  
Serious Mental Illness ◽  
Health Survey ◽  
Mental Distress ◽  
Clinical Status ◽  
Well Being ◽  
Self Report ◽  
Mental Well Being ◽  
Health Survey For England

Background Mental illness and mental well-being are independent but correlated dimensions of mental health. Both are associated with social functioning (in opposite directions), but it is not known whether they modify the effects of one another. New treatment targets might emerge if improving mental well-being in people with serious mental illness improved functional outcomes independent of clinical status. Aims To describe associations between mental well-being and functioning in people classified according to mental illness status. Method Cross-sectional data from 5485 respondents to the Health Survey for England 2014 were analysed. Mental illness status (including whether diagnosed by a professional) was by self-report and grouped into four categories, including ‘diagnosis of serious mental illness’. Mental well-being was measured using the Warwick-Edinburgh Mental Well-Being Scale, and functioning by items from the EQ-5D. Mental distress was assessed using General Health Questionnaire (GHQ-12) items. Associations were examined using moderated regression models with group membership as an interaction term. Results Mental well-being score was associated with (higher) functioning score (P < 0.05). This association varied between mental illness groups, even after adjusting for age, gender, ethnicity, physical health and symptoms of mental distress (F(3) = 14.60, P < 0.001). The gradient of this association was greatest for those with diagnosed serious mental illness. Conclusions Mental well-being was associated with higher functional status in people with mental illness, independent of the symptoms of mental distress and other confounders. The association was strongest in the diagnosed serious mental illness group, suggesting that mental well-being may be important in recovery from mental illness.

scholarly journals Geographical variations and associated factors of defaulting from immunization among children aged 12 to 23 months in Ethiopia: using spatial and multilevel analysis of 2016 Ethiopian Demographic and Health Survey

2021 ◽  
Vol 26 (1) ◽  
Author(s):  
Mukemil Awol ◽  
Zewdie Aderaw Alemu ◽  
Nurilign Abebe Moges ◽  
Kemal Jemal
Keyword(s):  
Multilevel Analysis ◽  
Health Survey ◽  
Associated Factors ◽  
Demographic And Health Survey ◽  
Community Level ◽  
Scan Statistics ◽  
Moran’S I ◽  
Moran's I ◽  
Depth Analysis ◽  
Global Moran’S I

Abstract Background In Ethiopia, despite the considerable improvement in immunization coverage, the burden of defaulting from immunization among children is still high with marked variation among regions. However, the geographical variation and contextual factors of defaulting from immunization were poorly understood. Hence, this study aimed to identify the spatial pattern and associated factors of defaulting from immunization. Methods An in-depth analysis of the 2016 Ethiopian Demographic and Health Survey (EDHS 2016) data was used. A total of 1638 children nested in 552 enumeration areas (EAs) were included in the analysis. Global Moran’s I statistic and Bernoulli purely spatial scan statistics were employed to identify geographical patterns and detect spatial clusters of defaulting immunization, respectively. Multilevel logistic regression models were fitted to identify factors associated with defaulting immunization. A p value < 0.05 was used to identify significantly associated factors with defaulting of child immunization. Results A spatial heterogeneity of defaulting from immunization was observed (Global Moran’s I = 0.386379, p value < 0.001), and four significant SaTScan clusters of areas with high defaulting from immunization were detected. The most likely primary SaTScan cluster was seen in the Somali region, and secondary clusters were detected in (Afar, South Nation Nationality of people (SNNP), Oromiya, Amhara, and Gambella) regions. In the final model of the multilevel analysis, individual and community level factors accounted for 56.4% of the variance in the odds of defaulting immunization. Children from mothers who had no formal education (AOR = 4.23; 95% CI: 117, 15.78), and children living in Afar, Oromiya, Somali, SNNP, Gambella, and Harari regions had higher odds of having defaulted immunization from community level. Conclusions A clustered pattern of areas with high default of immunization was observed in Ethiopia. Both the individual and community-level characteristics were statistically significant factors of defaulting immunization. Therefore, the Federal Ethiopian Ministry of Health should prioritize the areas with defaulting of immunization and consider the identified factors for immunization interventions.

Failure to validate the Health Survey for England physical activity module in a cardiac population

Health Policy ◽  
2007 ◽  
Vol 84 (2-3) ◽  
pp. 262-268 ◽  
Author(s):  
Alison Orrell ◽  
Patrick Doherty ◽  
Simon Coulton ◽  
Jeremy Miles ◽  
Emmanuel Stamatakis ◽  
...  
Keyword(s):  
Physical Activity ◽  
Health Survey ◽  
Health Survey For England

scholarly journals Associations between common mental disorders and the Mental Illness Needs Index in community settings

2007 ◽  
Vol 191 (2) ◽  
pp. 158-163 ◽  
Author(s):  
David L. Fone ◽  
Frank Dunstan ◽  
Ann John ◽  
Keith Lloyd
Keyword(s):  
Mental Health ◽  
Mental Illness ◽  
Mental Disorders ◽  
Mental Disorder ◽  
Small Area ◽  
Common Mental Disorders ◽  
Common Mental Disorder ◽  
Service Planning ◽  
Individual Risk ◽  
Community Settings

BackgroundThe relationship between the Mental Illness Needs Index (MINI) and the common mental disorders is not known.AimsTo investigate associations between the small-area MINI score and common mental disorder at individual level.MethodMental health status was measured using the Mental Health Inventory of the Short Form 36 instrument (SF-36). Data from the Caerphilly Health and Social Needs population survey were analysed in multilevel models of 10 653 individuals aged 18–74 years nested within the 2001 UK census geographies of 110 lower super output areas and 33 wards.ResultsThe MINI score was significantly associated with common mental disorder after adjusting for individual risk factors. This association was stronger at the smaller spatial scale of the lower super output area and for individuals who were permanently sick or disabled.ConclusionsThe MINI is potentially useful for small-area needs assessment and service planning for common mental disorder in community settings.

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