DOI: 10.5061/dryad.66t1g1k36
title: Data for: Thriving in a pandemic: determinants of excellent wellbeing among New Zealanders during the 2020 COVID-19 lockdown; a cross-sectional survey

description: Objective: The COVID-19 pandemic and associated restrictions are
 associated with adverse psychological impacts but an assessment of
 positive wellbeing is required to understand the overall impacts of the
 pandemic. Methods: The NZ Lockdown Psychological Distress Survey measured
 excellent wellbeing categorised by a WHO-Five Well-being Index (WHO-5)
 score ≥22. The survey also contained demographic and pre-lockdown
 questions, subjective and objective lockdown experiences, and questions on
 alcohol use. The proportion of participants with excellent wellbeing is
 reported with multivariate analysis examining the relative importance of
 individual factors associated with excellent wellbeing. Results:
 Approximately 9% of the overall sample reported excellent wellbeing during
 the New Zealand lockdown. Excellent wellbeing status was associated with
 older age, male gender, Māori and Asian ethnicity, and lower levels of
 education. Excellent wellbeing was negatively associated with smoking,
 poor physical and mental health, and previous trauma. Conclusion: A
 substantial minority of New Zealanders reported excellent wellbeing during
 severe COVID-19 pandemic restrictions. Demographic and broader health
 factors predicted excellent wellbeing status. An understanding of these
 factors may help to enhance wellbeing during any future lockdowns.
description: Methods of
 data collection are in the published paper and its parent (both
 open-access, see related works below). 
 <strong>Briefly:</strong>
 Respondents were survey participants from an internet Panel
 survey firm. Data have been cleaned and processed: this
 was mostly simplifying/collapsing response options to fewer options for
 reporting.
description: For further details or analysis code for paper (R format) please
 contact james.stanley@otago.ac.nz. Data and data
 dictionaries are included in the uploaded files. The
 data were collected via two cross-sectional national surveys. For the
 majority of the analyses undertaken, this datasets from the two surveys
 was combined and survey weights were not used. However, for comparisons
 with the New Zealand General Social Survey the two datasets were analysed
 independently and post-stratification survey weights were used.
 Post-stratification survey weights are included with the datasets
 (used to re-scale collected data to the NZ population structure), but
 should only used if datasets are analysed independently.
 A total of n=3487 participants are included (meeting eligibility
 criteria and substantively completed the surveys). Data
 were originally collected in Qualtrics; cleaned and coded in R; and
 analysed using R. The "raw + clean" dataset
 provides both the original variables and the variables as analysed for the
 paper. Columns with names starting with "Q" are the original
 responses in the survey The "clean only"
 dataset provides just the variables analysed for the paper.
 <strong>Additional raw data and code available on
 request</strong> Some additional variables are
 available on request (with corresponding code) for data sensitivity or to
 reduce the complexity of the files (e.g. individual item responses on
 psychological scales). These are detailed below.
 <strong>WHO-5</strong> (scores and categorised
 variables included; original per-item responses available on request with
 code for scoring) <strong>Age in years
 </strong>(excluded for data confidentiality) <strong>Age
 group </strong>(some people were only asked a "screening"
 question on age group for response quotas, others also provided age at end
 of survey) <strong>Gender </strong>(some people were only asked a "screening" question on gender for response quotas, others also confirmed gender at end of survey) <strong>Ethnicity</strong> (prioritised ethnicity included in file; original recorded ethnicity columns and free text fields available on request along with code for scoring) <strong>Alcohol intake before/during lockdown</strong> (summarised data included: original free-text columns and recoding step available on request with code for scoring) <strong>Cigarettes smoked each day/week</strong> (original free-text columns and recoding step available on request) <strong>Number of people living within bubble (</strong>original free-text column and recoding step available on request) <strong>Other main sources of stress</strong> <strong>(</strong>original free-text column available on request) <strong>Other prior trauma </strong>(original free-text column available on request)