Pro-environmental behaviours and attitudes are associated with health, wellbeing and life satisfaction in multiple occupancy households in the UK Household Longitudinal Study

2020 ◽  
Vol 41 (3) ◽  
pp. 347-371 ◽  
Author(s):  
Gopalakrishnan Netuveli ◽  
Paul Watts
2022 ◽  
Vol 12 (1) ◽  
Author(s):  
Niklas Johannes ◽  
Tobias Dienlin ◽  
Hasan Bakhshi ◽  
Andrew K. Przybylski

AbstractIt is often assumed that traditional forms of media such as books enhance well-being, whereas new media do not. However, we lack evidence for such claims and media research is mainly focused on how much time people spend with a medium, but not whether someone used a medium or not. We explored the effect of media use during one week on well-being at the end of the week, differentiating time spent with a medium and use versus nonuse, over a wide range of different media types: music, TV, films, video games, (e-)books, (digital) magazines, and audiobooks. Results from a six-week longitudinal study representative of the UK population 16 years and older (N = 2159) showed that effects were generally small; between-person relations but rarely within-person effects; mostly for use versus nonuse and not time spent with a medium; and on affective well-being, not life satisfaction.


2021 ◽  
Author(s):  
Niklas Johannes ◽  
Tobias Dienlin ◽  
Hasan Bakhshi ◽  
Andrew K Przybylski

It is often assumed that traditional forms of media such as books enhance well-being, whereas digital media do not. However, we lack evidence for such claims and media research is mainly focused on how much time people spend with a medium, but not whether someone used a medium or not. We investigated the effect of media use on well-being, differentiating time spent with a medium and use vs. nonuse, over a wide range of different media types: music, TV, films, video games, (e-)books, (digital) magazines, and audiobooks. Results from a six-week longitudinal study representative of the UK population (N = 2,159) showed that effects were generally small; between but rarely within people; mostly for use vs. nonuse and not time spent with a medium; and on affective well-being, not life satisfaction. Together, these results do not support policies intended to encourage or discourage media use because of effects on well-being.


Author(s):  
Elaine Robertson ◽  
Kelly S. Reeve ◽  
Claire L. Niedzwiedz ◽  
Jamie Moore ◽  
Margaret Blake ◽  
...  

Author(s):  
Alison Sizer ◽  
Oliver Duke-Williams

Background and Rationale The ONS Longitudinal Study (‘the LS’) covers England and Wales and includes individual data from the 1971 – 2011 decennial censuses and linked information on births, deaths and cancer registrations. It is representative of the population of England and Wales. Aim This presentation describes the LS and the linked administrative data, and showcases recent/ prominent examples of research. Methods and Approach The LS is built around samples drawn from decennial censuses, with its initial sample drawn from the 1971 Census. It also contains information about other people living in a sample-member’s household. Substantial emphasis is placed on security of access to the data and its responsible use. All research outputs are checked and are only released to users once disclosure control requirements are met. Linkage of study members from one census to another and vital events is carried out by ONS. Results The LS has been used for a variety of research. Using linked census and death records occupational differences in mortality rates have been researched. Individual records from all five censuses have been used to contribute to research social mobility, and research has also investigated the effects of long-term exposure to air pollution. Research has provided evidence of impact for social policy issues, e.g. health inequalities and the State Pension Age Review. Discussion The main strength of the LS is its large sample size (>1 million), making it the largest nationally representative longitudinal dataset in the UK. This allows analysis of small areas and specific population groups. Sampling bias is almost nil, and response rates are very high relative to other cohort and panel studies. Conclusion The ONS Longitudinal Study is a vital UK research asset, providing access to a large sample of census data linked across five censuses. It is strengthened through linkage to events data.


2021 ◽  
Author(s):  
Michael Daly ◽  
Eric Robinson

BackgroundIn late 2020 a second wave of COVID-19 infections occurred in many countries and resulted in a national lockdown in the UK including stay at home orders and school closures. This study aimed to compare the prevalence of psychological distress before and during the second COVID-19 wave in the UK. MethodsThis study drew on data from 10,657 participants from the nationally representative probability-based UK Household Longitudinal Study (UKHLS). The 12-item General Health Questionnaire (GHQ-12) assessment measure was used to detect the proportion of UK adults experiencing clinically significant psychological distress. Changes in distress levels associated with the second pandemic wave were examined between September 2020 and January 2021 using logistic regression and linear fixed-effects regression models. ResultsLongitudinal analyses showed that the prevalence of clinically significant distress rose by 5.8% (95% CI:4.4-7.2) from 21.3% in September 2020 to 27.1% in January 2021, compared with a 2019 pre-pandemic estimate of 21% in this cohort. Fixed effects analyses confirmed that the second COVID-19 wave was associated with a significant within-person increase in distress (d =0.15, p<.001). Increases were particularly pronounced among those with school-age children in the home. LimitationsA non-specific measure of mental health symptoms was utilized and it was not possible to separate the potential impact of the pandemic from other changes occurring in tandem within the study period. ConclusionClinically significant distress rose during the second wave of the COVID-19 pandemic and reached levels similar to those observed in the immediate aftermath of the first pandemic wave.


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