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The latest data for the measures of children’s well-being, complementing the UK Measures of National Well-being.
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The UK’s progress across 10 topic areas of national well-being. Breakdowns by UK country and region, age and sex, including quality information where available.
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These indicators are presented by Public Health — Seattle & King County, in conjunction with the King County Hospitals for a Healthier Community (HHC). The data offer a comprehensive overview of demographics, health, and health behaviors among King County residents.
Users can search by key word or topic area to filter the table of contents displayed below. After clicking on an indicator, a summary tab will open and users can click on additional tabs to explore data analyzed by demographic characteristics, see how rates have changed over time, and view data for cities/neighborhoods. Most indicators are interactive and users can hover over maps or charts to find more information.
The data presented on this website may be reproduced without permission. Please use the following citation when reproducing: "Retrieved (date) from Public Health – Seattle & King County, Community Health Indicators. www.kingcounty.gov/chi"
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How children aged 0 to 15 years in the UK are coping in a range of areas that matter to their quality of life, reflecting the circumstances of their lives and their own perspectives.
This is a subset of the children's well-being indicators. For the full dataset, please see 'Children's well-being and social relationships, UK: 2018' in the 'Related datasets' section.
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The National Wellbeing Survey (NWS) is a population-based survey on the wellbeing of adults aged 18 to 64 in the United States. Specific survey domains include psychological well-being, social relationships and support, physical health, mental health, health behaviors, COVID-19 experiences and impacts, socioeconomic measures, political orientation, and demographic measures.
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With the increasing importance of the internet to our everyday lives, questions are rightly being asked about how its' use affects our wellbeing. It is important to be able to effectively measure the effects of the online context, as it allows us to assess the impact of specific online contexts on wellbeing that may not apply to offline wellbeing. This paper describes a scoping review of English language, peer-reviewed articles published in MEDLINE, EMBASE, and PsychInfo between 1st January 2015 and 31st December 2019 to identify what measures are used to assess subjective wellbeing and in particular to identify any measures used in the online context. Two hundred forty studies were identified; 160 studies were removed by abstract screening, and 17 studies were removed by full-text screening, leaving 63 included studies. Fifty-six subjective wellbeing scales were identified with 18 excluded and 38 included for further analysis. Only one study was identified researching online wellbeing, and no specific online wellbeing scale was found. Therefore, common features of the existing scales, such as the number and type of questions, are compared to offer recommendations for building an online wellbeing scale. Such a scale is recommended to be between 3 and 20 questions, using mainly 5-point Likert or Likert-like scales to measure at least positive and negative affect, and ideally life satisfaction, and to use mainly subjective evaluation. Further research is needed to establish how these findings for the offline world effectively translate into an online measure of wellbeing.
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Background: Centeredness Theory (CT) is proposed as a new mental health paradigm that focuses on well-being at a systems-level, across the core life domains of the self, the family unit, relationships, community, and work. The current studies aimed to validate the psychometric properties of a new scale that measures CT against existing well-being and mental health measures.Methods: Study 1 included 488 anonymous online respondents (46% females, 28% males, 25% unknown with median age between 31 and 35 years) across 38 countries who completed the CT scale. Study 2 included 49 first-year psychology students (90% females, mean age of 19 years) from Sydney Australia that completed the CT scale and other well-being and mental health questionnaires at baseline and 2-weeks follow-up.Results: Exploratory and confirmatory factor analyses resulted in a refined 60-item CT scale with five domains, each with four sub-domains. The CT scale demonstrated good internal consistency reliability and test-retest reliability, and showed evidence of convergent validity against other well-being measures (e.g., COMPAS-W Wellbeing Scale, SWLS scale, and Ryff's Psychological Well-being scale).Conclusions: The CT scale appears to be a reliable measure of well-being at a systems-level. Future studies need to confirm these findings in larger heterogeneous samples.
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TwitterThe ACT Wellbeing Framework looks at 12 aspects of wellbeing – which we call ‘domains’. The domains reflect the key factors the community told us impact on the quality of life of Canberrans. The framework also includes personal wellbeing, which is an overall measure of our life satisfaction. Canberrans generally have higher levels of wellbeing than people living in other parts of Australia – but wellbeing also differs for different people within our community. Read more about the Wellbeing Framework at www.act.gov.au/wellbeing
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TwitterOfficial statistics are produced impartially and free from political influence.
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Domains and measures of well-being. Also included is metadata about each measure and where available, a link to the source of each indicator and an indication of change for each measure where a method of assessment is applicable.
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TwitterThe catalogue can be browsed in a number of different ways depending on your interests and needs. You can search the catalogue for: (1) Mental health or wellbeing topics. For example, if you are looking for a study that has measures of depression, you could search ‘depression’. (2) Particular mental health measures. For example, if you know you are interested in the General Health Questionnaire, you could search for ‘GHQ’ or '"general health questionnaire"'. (3) Other areas of interest. This is particularly useful if you wish to examine the association between mental health and another topic you are interested in. In this case, you can use the filters on the left of the search page to filter for studies that have collected information about themes such as ‘ethnicity’, ‘diet’, ‘physical health’ or ‘education’. (4) Study design. In this case you could search for ‘birth cohort’, ‘twin’ or ‘repeat cross-sectional’ studies. (5) Study name. If you already know which study you are interested in, you can also search for the study name. Search terms can be combined to narrow the list of studies down to those which meet your needs.
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TwitterFuture Melbourne Community Plan is the City of Melbourne’s premier planning document. It outlines a plan to grow Melbourne as a global, liveable, and sustainable city. The City of Melbourne accepted responsibility for monitoring the Future Melbourne indicators over the ten years from 2008 and reporting outcomes to Melbourne City Council, the public and City of Melbourne administration. City of Melbourne has commenced a review of the Future Melbourne 2008 plan this year with a view to writing a renewed Future Melbourne 2016-26 plan.\r
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To be able to track Melbourne’s progress according to the aims set out in the Future Melbourne 2008 Plan, City of Melbourne developed and indicators framework including indicators for personal wellbeing and social connection, derived from the Australian Unity wellbeing survey. Australian Unity and the Australian Centre on Quality of Life at Deakin University have conducted national bi-annual population surveys for the last ten years and created an index of perceived wellbeing for the Australian population, including the population of Melbourne. Both organisations support the Index being used and developed as a scientific tool and encourage investigations into the usefulness of the Index by others.\r
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City of Melbourne annually collects data on the personal wellbeing, social connection, self-reported health, volunteering behaviour, food security, acceptance of diverse cultures; engagement in decision making and arts and cultural activities of residents in Melbourne Local Government Area. To achieve this City of Melbourne commissioned a survey of 400 respondents.
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TwitterThis dataset identifies the data elements and values in the Summary Measures of Health indicator domain from the Community Health Status Indicators (CHSI) report.
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Self-reported measure of peoples overall health and wellbeing
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Using a rich individual level dataset from six countries, we examine the association between job loss and mental wellbeing loss during the first phase of the COVID-19 pandemic. We consider four indicators of mental health status based on their severity, viz. anxiety, insomnia, boredom, and loneliness. We draw our conclusions based on two groups of countries that differ by the timing of their peak infections count. Using a logit model and controlling for endogeneity, we find that the people who lost their jobs due to the pandemic are more likely to suffer from mental wellbeing loss, especially insomnia and loneliness. Additionally, people with financial liabilities, such as housing mortgages, are among the mentally vulnerable groups to anxiety. Women, urban residences, youth, low-income groups, and tobacco users are more prone to mental wellbeing loss. The findings from this research have significant policy implications on infectious disease control measures and mental health status due to lockdowns and social distancing.
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TwitterDASH is a multi-ethnic adolescent cohort study which investigates how social, environmental and biological factors affect the health and well-being of young people from different social and ethnic backgrounds in London.
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A dataset on the relationships among teachers' subjective wellbeing, religiosity, and trust in science during the Covid-19 pandemic
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These data were collected using the HEartS Professional Survey from performing arts workers in the United Kingdom in April–June 2020. HEartS Professional was designed as a multi-strategy data collection tool with two main purposes: (1) to chart working patterns, income, sources of support, and indicators of mental and social wellbeing in order to identify trends in the effects of the lockdown at the time and (2) to explore the individual work and wellbeing experiences of performing arts professionals in their own words, in order to identify the subjective effects of lockdown in terms of challenges and opportunities. The survey covers six areas: (1) demographics, (2) information on illness or self-isolation related to COVID-19, (3) work profiles and income, (4) changes to work profiles and income as a result of the pandemic, as well as sources of support, (5) open-response questions about work and wellbeing experiences of lockdown including challenges and opportunities, and (6) validated measures of health, wellbeing, and social connectedness. HEartS Professional is an adaptation of the HEartS Survey which charts the Health, Economic, and Social impacts of the ARTs (https://doi.org/10.5061/dryad.3r2280gdj).
Methods The sample was recruited through an online data collection platform, Qualtrics, from 1 April to 15 June 2020. 784 respondents started the survey and 447 completed it. Here we include the subset (n=385) of completed surveys that worked in the two performing arts areas: Music or sound arts (e.g. professional musician) and/or Performing arts (e.g. professional actor, dancer, circus performer etc.). The survey contains the following sections:
Demographic and socioeconomic information: Where available standardised Census questions were used to collect data on ethnicity, geographic region, highest educational qualifications, gender, age, and household composition and income. Illness or self-isolation related to Covid-19: Newly created questions. Work profiles and income: Newly created questions. Changes to work profiles and income as a result of the pandemic and sources of support: Newly created questions and Inclusion of Other in Self Scale. Open-response questions about work and wellbeing experiences of lockdown, including challenges and opportunities: Newly created questions (NB. data for the open questions are not included for confidentiality reasons). Measures of health, wellbeing, and social connectedness: The following validated and previously used measures are included
Mental Health Continuum Short Form 14-item scale Centre for Epidemiologic Studies Depression (CES-D) Short Form 8-item scale Self-rated General Health item (from SF-36) Physical activity scale recording mild, moderate, and vigorous physical activity frequency (from Whitehall II Study) Social Connectedness Revised 15-item scale
UCLA Three-item Loneliness Scale, Single item loneliness question De Jong Gierveld Loneliness Short Form 6-item scale 1-item questions on loneliness frequency and loneliness intensity
More information is provided in the Variables tab in the dataset.
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TwitterThe Opinions and Lifestyle Survey is a Face-to-face interview of individuals in households. Data is available for Government Office Regions.
The data for these tables is from the Well-Being Module, April, July and October, 2014.
They cover a range of subjective well-being indicators that measure the respondents opinions using a score out of 10.
The questions analysed here are:
The measures included in the table are:
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Self-reported measure of peoples overall health and wellbeing Source: Department of Health (DoH) Publisher: DCLG Floor Targets Interactive Geographies: Local Authority District (LAD), County/Unitary Authority, Government Office Region (GOR), National Geographic coverage: England Time coverage: 2008 Type of data: Survey
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The latest data for the measures of children’s well-being, complementing the UK Measures of National Well-being.