scholarly journals Sources of Bias When Combining Routine Data Linkage and A National Survey of Secondary School-Aged Children: A Record Linkage Study

2020 ◽  
Vol 5 (5) ◽  
Author(s):  
Kelly Morgan ◽  
Nicholas Page ◽  
Rachel Brown ◽  
Sara Long ◽  
Gillian Hewitt ◽  
...  
Keyword(s):  
Mental Health ◽  
General Population ◽  
National Survey ◽  
Data Linkage ◽  
Routine Data ◽  
Linkage Study ◽  
Mental Wellbeing ◽  
Parental Consent ◽  
Mental Health Diagnoses ◽  
The Impact

IntroductionLittle is known of the potential impacts of introducing data linkage processes on response rates and biases in school-based surveys. Objectives and ApproachThis paper assessed: i) the impact on parental consent rates for student participation in a school survey; ii) sample representativeness; and iii) the quality of identifiable data provided to facilitate linkage. An option for data linkage was piloted in a sub-sample of schools participating in the Student Health and Wellbeing survey, a national survey of adolescents in Wales, UK. Schools agreeing to participate were randomized 2:1 to receive the data linkage question. Survey responses from consenting students were anonymised and linked to routine datasets (e.g. general practice, inpatient, and outpatient records). Parental withdrawal rates were calculated for linkage and non-linkage samples. Multilevel logistic regression models compared characteristics between: i) consenters and non-consenters; ii) successfully and unsuccessfully linked students; and iii) linked cohort and peers within the general population, with additional comparisons of mental health diagnoses and health service contacts. ResultsThe sub-sample comprised 64 eligible schools (out of 193), with data linkage piloted in 39. Parental consent was comparable across linkage and non-linkageschools. 48.7% (n=9,232) of students consented to data linkage. Consenting students were more likely to be younger, more affluent, have higher positive mental wellbeing, and report fewer risk-related behaviours compared to non-consenters. Overall, 69.8% of consenting students were successfully linked, with higher rates of success among younger students. The linked cohort had lower rates of mental health diagnoses (5.8% vs. 8.8%) and specialist contacts (5.2% vs. 7.7%) than general population peers. ConclusionIntroducing data linkage within a national survey of adolescents had no impact on study completion rates. Students consenting to data linkage, and those successfully linked, differed from non-consenting students on numerous key characteristics, raising questions concerning the representativeness of linked cohorts.

Impact of Media and Time Management Pattern on Mental Wellbeing among the General Population during COVID-19 Lockdown in India – A Cross-Sectional, Respondent-Driven Survey

2021 ◽  
Vol 8 (19) ◽  
pp. 1432-1439
Author(s):  
Vishwak Reddy Vatte ◽  
Praveen Khairkar ◽  
Srinivas Kandrakonda ◽  
Tabitha Jezreel ◽  
Satya Revanth Karri ◽  
...  
Keyword(s):  
Mental Health ◽  
General Population ◽  
Time Management ◽  
Mental Health Problems ◽  
Smart Phone ◽  
Social Networking Site ◽  
Mental Wellbeing ◽  
Cross Sectional ◽  
Management Pattern ◽  
The Impact

BACKGROUND In COVID-19 pandemic, nation-wide complete lockdown was enforced for about 10 weeks which was an unprecedented experience for all and potentially influenced mental wellbeing partly through infodemic mismanagements. This study intended to analyse the impact of media and time management pattern on mental wellbeing among general population during COVID-19 lockdown in India. METHODS An online study questionnaire was circulated among general population between 1 st April and 12th May 2020 using social networking site (s). The questionnaire included socio-demographic details, source of information and knowledge on COVID-19, impact of time spent on media, smart phone, productive and relaxation activities, general views on lockdown experience and further mental health status was screened using standardized DASS - 21 Scale. Appropriate descriptive and inferential statistics were done using SPSS statistic 26.0. RESULTS A total of 891 people responded from 11 states, mostly (89 %) from South India, and 27.5 % were having mental health problems on DASS - 21 scale. Most of the participants opined that COVID-19 information on traditional (53 %) and social media (85 %) were not completely authentic and perhaps amplifying perceptual responses. Excess time spent on media (46 %) and smart phone over exposure (61 %) had significant mental health issues and on contrary individuals who managed their time well, indulging in productive and relaxation activities were found to be psychologically stable (P < 0.05). CONCLUSIONS This study highlights the impact of media and time management pattern during lockdown emphasizing both positive and negative predictors of mental health. There is clearly a need for media regulation and working in collaboration with authorities for better mental wellbeing of the society in ongoing fight with COVID19. KEYWORDS COVID-19, Lockdown, Media, Smartphone, Time Management Pattern

scholarly journals Yin and yang: why big data needs little data

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
John Wright
Keyword(s):  
Mental Health ◽  
Big Data ◽  
School Readiness ◽  
Early Life ◽  
Data Linkage ◽  
Routine Data ◽  
Research Data ◽  
Limiting Factor ◽  
Small Data ◽  
The Impact

ABSTRACTObjectivesBig data and data linkage offer great potential for improving health, but the shallowness of much routine data is a major limiting factor. We explore how connecting wide routine data (big data) and deep research data (little data) can harness the real potential of data linkage. ApproachWe have linked routine clinical data from education and health (primary and secondary care) for a well-characterised birth cohort (Born in Bradford) with phenotype and genotype data on almost 14,000 families. We explore the potential for this combination of big and small data to address key research priorities in health and education research. ResultsWe present examples of the complementarity of routine and research data linkage in four varied domains: 1) Health care: how does postnatal mental health need (small data) match with mental health demand (big data)?2) Education: how do early life exposures (small data) influence school readiness and standardised assessment tests (big data)?3) Genetics: what is the impact of rare mutations (small data) on health service uptake (big data)?4) Public health: how can big data and small data be used to evaluate the effectiveness of early life interventions? Pros and cons of both big data and small data are identified. Some lifestyle and demographic factors are more likely to accurate from bespoke research data collection, but clinical and educational measures may be better gleaned from routine records. The reliability of the different sources of data is discussed. ConclusionsOur results illustrate the symbiosis of combining research and routine datasets. Opportunities for harnessing this power through combining routine data with cohort studies, clinical trials and national surveys are explored.

scholarly journals Job loss and mental health during the COVID-19 lockdown: Evidence from South Africa

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0249352
Author(s):  
Dorrit Posel ◽  
Adeola Oyenubi ◽  
Umakrishnan Kollamparambil
Keyword(s):  
Mental Health ◽  
South Africa ◽  
Depressive Symptoms ◽  
National Survey ◽  
Job Loss ◽  
National Income ◽  
Unemployment Duration ◽  
Mental Wellbeing ◽  
Reverse Causality ◽  
The Impact

Objectives Existing literature on how employment loss affects depression has struggled to address potential endogeneity bias caused by reverse causality. The COVID-19 pandemic offers a unique natural experiment because the source of unemployment is very likely to be exogenous to the individual. This study assessed the effect of job loss and job furlough on the mental health of individuals in South Africa during the COVID-19 pandemic. Data and methods The data for the study came from the first and second waves of the national survey, the National Income Dynamics-Coronavirus Rapid Mobile Survey (NIDS-CRAM), conducted during May-June and July-August 2020, respectively. The sample for NIDS-CRAM was drawn from an earlier national survey, conducted in 2017, which had collected data on mental health. Questions on depressive symptoms during the lockdown were asked in Wave 2 of NIDS-CRAM, using a 2-question version of the Patient Health Questionnaire (PHQ-2). The PHQ-2 responses (0–6 on the discrete scale) were regrouped into four categories making the ordered logit regression model the most suited for assessing the impact of employment status on depressive symptoms. Results The study revealed that adults who retained paid employment during the COVID-19 lockdown had significantly lower depression scores than adults who lost employment. The benefits of employment also accumulated over time, underscoring the effect of unemployment duration on mental health. The analysis revealed no mental health benefits to being furloughed (on unpaid leave), but paid leave had a strong and significant positive effect on the mental health of adults. Conclusions The economic fallout of the COVID-19 pandemic resulted in unprecedented job losses, which impaired mental wellbeing significantly. Health policy responses to the crisis therefore need to focus on both physical and mental health interventions.

The Relationship Between Highly Visual Social Media and Young People’s Mental Health: A Scoping Review (Preprint)

2020 ◽  
Author(s):  
Alanna McCrory
Keyword(s):  
Mental Health ◽  
Social Media ◽  
Young People ◽  
Scoping Review ◽  
Quantitative Methods ◽  
Grey Literature ◽  
Significant Proportion ◽  
Mental Wellbeing ◽  
Published Evidence ◽  
The Impact

UNSTRUCTURED Users of highly visual social media (HVSM), such as Snapchat and Instagram, share their messages through images, rather than relying on words. A significant proportion of people that use these platforms are adolescents. Previous research reveals mixed evidence regarding the impact of online social technologies on this age group’s mental wellbeing, but it is uncertain whether the psychological effects of visual content alone differ from text-driven social media. This scoping review maps existing literature that has published evidence about highly visual social media, specifically its psychological impact on young people. Nine electronic databases and grey literature from 2010 until March 2019 were reviewed for articles describing any aspect of visual social media, young people and their mental health. The screening process retrieved 239 articles. With the application of eligibility criteria, this figure was reduced to 25 articles for analysis. Results indicate a paucity of data that exclusively examines HVSM. The predominance of literature relies on quantitative methods to achieve its objectives. Many findings are inconsistent and lack the richness that qualitative data may provide to explore the reasons for theses mixed findings.

scholarly journals Emotional and Mental Wellbeing Following COVID-19 Public Health Measures on People Living With Dementia and Carers

2021 ◽  
pp. 089198872199681
Author(s):  
Kerry Hanna ◽  
Clarissa Giebel ◽  
Hilary Tetlow ◽  
Kym Ward ◽  
Justine Shenton ◽  
...  
Keyword(s):  
Public Health ◽  
Mental Health ◽  
Social Support ◽  
Support Services ◽  
Mental Wellbeing ◽  
Daily Lives ◽  
Health Measures ◽  
Social Support Services ◽  
The Uk ◽  
The Impact

Background: To date, there appears to be no evidence on the longer-term impacts caused by COVID-19 and its related public health restrictions on some of the most vulnerable in our societies. The aim of this research was to explore the change in impact of COVID-19 public health measures on the mental wellbeing of people living with dementia (PLWD) and unpaid carers. Method: Semi-structured, follow-up telephone interviews were conducted with PLWD and unpaid carers between June and July 2020. Participants were asked about their experiences of accessing social support services during the pandemic, and the impact of restrictions on their daily lives. Results: 20 interviews were conducted and thematically analyzed, which produced 3 primary themes concerning emotional responses and impact to mental health and wellbeing during the course of the pandemic: 1) Impact on mental health during lockdown, 2) Changes to mental health following easing of public health, and 3) The long-term effect of public health measures. Conclusions: The findings from this research shed light on the longer-term psychological impacts of the UK Government’s public health measures on PLWD and their carers. The loss of social support services was key in impacting this cohort mentally and emotionally, displaying a need for better psychological support, for both carers and PLWD.

scholarly journals Do Public Pensions Improve Mental Wellbeing? Evidence from the New Rural Society Pension Insurance Program

2021 ◽  
Vol 18 (5) ◽  
pp. 2391
Author(s):  
Fang Wang ◽  
Haitao Zheng
Keyword(s):  
Mental Health ◽  
Rural Society ◽  
Rural Elderly ◽  
Public Pensions ◽  
Mental Wellbeing ◽  
Elderly Persons ◽  
Pension Insurance ◽  
Beneficial Effects ◽  
Pension Income ◽  
The Impact

The causal effect of public pensions on the mental wellbeing of the elderly in lower and middle-income countries deserves further investigation. This paper first constructed a theoretical framework for the impact of New Rural Society Pension Insurance pensions in China on the mental wellbeing of the rural elderly, and described potential channels through which pension income may affect mental wellbeing. We then used the fixed effect model and the instrument variable approach to estimate the casual effects of pension income on the mental wellbeing of the rural elderly. The results reveal that pension income improves mental wellbeing by relieving depression of the rural elderly; however, the beneficial effects of pension income are very limited. Pension income has no beneficial effects on the mental health of the rural elderly in the east region, whereas it slightly relieves depression of those in the middle and west regions. We also found that pension income produces small improvements in the mental health of older females, elderly persons living independently, and those with relatively poor economic conditions.

scholarly journals Mental health and caregiving experiences of family carers supporting people with psychosis

2021 ◽  
Vol 30 ◽  
Author(s):  
J. Sin ◽  
J. Elkes ◽  
R. Batchelor ◽  
C. Henderson ◽  
S. Gillard ◽  
...  
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
General Population ◽  
Large Scale ◽  
Controlled Trial ◽  
Population Sample ◽  
Poor Mental Health ◽  
Mental Wellbeing ◽  
Family Carers ◽  
Negative Experience

Abstract Aims Family carers supporting an individual with psychosis often experience poorer mental health, however, little is known about specific risk factors among these carers. We investigated the associations between demographic, caregiving characteristics and mental health outcomes in family carers supporting an individual with psychosis and compared carers' outcomes with general population norms. Methods We analysed baseline data from the COPe-support randomised controlled trial of online psychoeducation and peer support for adult carers supporting an individual with psychosis between 2018 and 2020. We collected carers' demographic and health outcome data, including wellbeing using Warwick-Edinburgh Mental Wellbeing Scale (WEMWBS as primary outcome), quality of life using EQ-5D-5L and caregiving experience assessed with Experience of Caregiving Inventory. We tested associations between carers' demographic and caregiving characteristics for each outcome in turn and meta-analysed carers' WEMWBS and EQ-5D-5L with Health Survey England (HSE) general population data from 2016 and 2017, respectively. Results The 407 carers of people with psychosis had a mean WEMWBS score of 42.2 (s.d. 9.21) and their overall weighted pooled WEMWBS score was 7.3 (95% confidence interval (CI) −8.6 to −6.0, p < 0.01) lower than the HSE general population sample, indicating carers have poorer mental wellbeing by more than double the minimum clinically important difference of 3 points on WEMWBS. Among all caring relationships, partners had poorer wellbeing compared to parents with lower WEMWBS score (−6.8, −16.9 to 3.3, p = 0.03). Single carers had significantly poorer wellbeing (−3.6, −5.6 to −1.5, p < 0.01) and a more negative caregiving experience than those who were cohabiting. Spending more than 35 h per week caregiving increased carers' negative experience significantly (p = 0.01). Conclusion Carers of people with psychosis have poorer mental health than non-carers. Partners, lone carers and those spending more than 35 h per week on caring were found to be most at risk of poor mental health. Based on the results, we advocate that the details of carers for individuals with psychosis should be added to the existing carers or severe mental illness registers at all general practitioner surgeries and for their wellbeing screened routinely. Future large-scale prospective studies are needed to develop a predictive model to determine risk factors, hence to aid early identification of carers' support needs. Such understandings are also useful to inform tailored intervention development.

scholarly journals Subjective Impact of the COVID-19 Pandemic on Schizotypy and General Mental Health in Germany and the United Kingdom, for Independent Samples in May and in October 2020

2021 ◽  
Vol 12 ◽  
Author(s):  
Sarah Daimer ◽  
Lorenz Mihatsch ◽  
Lisa Ronan ◽  
Graham K. Murray ◽  
Franziska Knolle
Keyword(s):  
Mental Health ◽  
United Kingdom ◽  
General Population ◽  
Psychological Symptoms ◽  
Financial Burden ◽  
Strong Impact ◽  
Linear Regression Models ◽  
Symptom Index ◽  
The United Kingdom ◽  
The Impact

Studies reported a strong impact on mental health during the first wave of the COVID-19 pandemic in March–June, 2020. In this study, we assessed the impact of the pandemic on mental health in general and on schizotypal traits in two independent general population samples of the United Kingdom (May sample N: 239, October sample N: 126; participation at both timepoints: 21) and in two independent general population samples of Germany (May sample N: 543, October sample N: 401; participation at both timepoints: 100) using online surveys. Whereas general psychological symptoms (global symptom index, GSI) and percentage of responders above clinical cut-off for further psychological investigation were higher in the May sample compared to the October sample, schizotypy scores (Schizotypal Personality Questionnaire) were higher in the October sample. We investigated potential associations, using general linear regression models (GLM). For schizotypy scores, we found that loneliness, use of drugs, and financial burden were more strongly corrected with schizotypy in the October compared to the May sample. We identified similar associations for GSI, as for schizotypy scores, in the May and October samples. We furthermore found that living in the United Kingdom was related to higher schizotypal scores or GSI. However, individual estimates of the GLM are highly comparable between the two countries. In conclusion, this study shows that while the general psychological impact is lower in the October than the May sample, potentially showing a normative response to an exceptional situation; schizotypy scores are higher at the second timepoint, which may be due to a stronger impact of estimates of loneliness, drug use, and financial burden. The ongoing, exceptional circumstances within this pandemic might increase the risk for developing psychosis in some individuals. The development of general psychological symptoms and schizotypy scores over time requires further attention and investigation.

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