Childhood and demographic predictors of life evaluation, life satisfaction, and happiness: A cross-national analysis of the Global Flourishing Study DOI Creative Commons
Tim Lomas, Hayami K. Koga, R. Noah Padgett

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: July 30, 2024

Abstract Subjective wellbeing has increasingly attracted attention across academia and beyond (e.g., policy making). However, the research literature various shortcomings, including (1) conceptual confusion around key constructs, (2) limited fragmented understanding of contextual dynamics, (3) a lack cross-cultural consideration. This paper reports on data from an ambitious endeavour capable redressing these three issues: Global Flourishing Study (GFS), intended five-year (minimum) panel study investigating predictors human flourishing. In addressing aforementioned issues, first, GFS separate items for constructs at heart subjective that are often used interchangeably but actually distinct: life evaluation; satisfaction, happiness. Second, enables analysis association with 15 factors (eight relating to childhood, four demographic, pertaining both). Third, includes (in this first year) 202,898 participants 22 geographically culturally diverse countries. Regarding factors, all had significant outcome variables, largest variation observed being self-reported health among childhood employment status demographic factors. Significantly though, overall patterns were not uniform countries, suggesting trends inevitable or universal, contingent socio-cultural The findings provide better of, foundation future work on, conceptual, contextual, dynamics important topic.

Language: Английский

Survey sampling design in wave 1 of the Global Flourishing Study DOI Creative Commons
R. Noah Padgett, Richard G. Cowden,

Manas Chattopadhyay

et al.

European Journal of Epidemiology, Journal Year: 2025, Volume and Issue: unknown

Published: March 27, 2025

Abstract The Global Flourishing Study (GFS) is an international collaboration to develop a publicly accessible data resource promote global research on human flourishing. These include over 200,000 participants from 22 geographically and culturally diverse countries one territory designed be nationally representative of the adult population. GFS intended as longitudinal panel study with recruitment empanelment for Wave 1 occurring between April 2022 December 2023. Future waves collection will invite complete survey annually. annual covers robust set measures well-being, health, social, economic, political, religious, spiritual, psychological demographic variables. current paper describes sampling methodology weighting approaches used project samples representative. Details are provided interviewer training collection, probability non-probability samples, creating weights, design effects, future stages.

Language: Английский

Citations

8
Analytic methodology for demographic variation analyses for wave 1 of the global flourishing study DOI Creative Commons
R. Noah Padgett, Matt Bradshaw, Ying Chen

et al.

BMC Global and Public Health, Journal Year: 2025, Volume and Issue: 3(1)

Published: April 30, 2025

In this article, we describe the statistical and design methodology of demographic variation analyses used as part a coordinated set manuscripts for wave 1 Global Flourishing Study (GFS). Aspects covered include following: evaluating variation, accounting complex sampling design, missing data imputation, meta-analysis. We provide brief illustrative example using measure purpose in life from GFS survey conclude by outlining some strengths limitations analytic employed.

Language: Английский

Citations

6
Analytic methodology for childhood predictor analyses for wave 1 of the Global Flourishing Study DOI Creative Commons
R. Noah Padgett, Matt Bradshaw, Ying Chen

et al.

BMC Global and Public Health, Journal Year: 2025, Volume and Issue: 3(1)

Published: April 30, 2025

In this article, we describe the statistical and design methodology of demographic variation analyses used as part a coordinated set manuscripts for wave 1 Global Flourishing Study (GFS). Aspects covered include following: childhood predictors regression analyses, accounting complex sampling design, missing data imputation, sensitivity analysis unmeasured confounding meta-analysis. We provide brief illustrative example predictor using sense mastery construct indicator from GFS survey conclude by outlining some strengths limitations employed.

Language: Английский

Citations

5
The Global Flourishing Study: Study Profile and Initial Results on Flourishing DOI Creative Commons
Tyler J. VanderWeele, Byron R. Johnson, Piotr Białowolski

et al.

Nature Mental Health, Journal Year: 2025, Volume and Issue: unknown

Published: April 30, 2025

Language: Английский

Citations

2
An exploratory cross-national analysis of the childhood predictors of inner peace in the Global Flourishing Study DOI Creative Commons
Tim Lomas, R. Noah Padgett, James L. Ritchie‐Dunham

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 30, 2025

Great efforts have been expended studying how people's childhood affects their life in adulthood. Although attention has mostly focused on 'negative' outcomes, such as mental illness, paradigms like positive psychology encouraged interest desirable phenomena too. Yet amidst this 'positive turn' some desiderata still received scant engagement, including inner peace. This lacuna perhaps reflects the Western-centric nature of academia, with low arousal emotions regarded being relatively undervalued West. But aligning broader to redress Western-centricity is an emergent literature topic. report adds by presenting cross-sectional wave 1 data from most ambitious longitudinal study date peace, namely item - "In general, often do you feel are at peace your thoughts and feelings?" Global Flourishing Study, intended five-year investigating predictors human flourishing involving (in first year) 202,898 participants 22 countries. exploratory paper looks 13 using random effects meta-analysis aggregate all findings, focusing three research questions. First, recalled aspects a child's upbringing predict adulthood, for which impactful factor average was self-rated health growing up, Risk Ratios, relative "good", ranging 0.93 "poor" 1.07 "excellent". Second, associations vary country, effect poor spanning 0.37 Turkey 1.19 Nigeria. Third, relationships robust potential unmeasured confounding, assessed E-values, up confounder association Ratio 1.36 These results shed valuable new light long-term causal dynamics overlooked but important

Language: Английский

Citations

1
Why we need to measure people’s well-being — lessons from a global survey DOI
Tyler J. VanderWeele, Byron R. Johnson

Nature, Journal Year: 2025, Volume and Issue: 641(8061), P. 34 - 36

Published: April 30, 2025

Language: Английский

Citations

1
Validation of social science theories using machine learning models: a methodological perspective DOI
Lemuel Kenneth David, Jianling Wang, Vanessa Angel

et al.

Quality & Quantity, Journal Year: 2025, Volume and Issue: unknown

Published: March 6, 2025

Language: Английский

Citations

0
Meaningful, useful and legitimate information in the use of index numbers for decision making DOI Creative Commons
Fred S. Roberts, Helen Roberts, Alexis Tsoukiàs

et al.

Quality & Quantity, Journal Year: 2025, Volume and Issue: unknown

Published: March 18, 2025

Language: Английский

Citations

0
Analysis of demographic variation and childhood correlates of financial well-being across 22 countries DOI Creative Commons
Piotr Białowolski, Christos Makridis, Matt Bradshaw

et al.

Nature Human Behaviour, Journal Year: 2025, Volume and Issue: unknown

Published: April 30, 2025

Language: Английский

Citations

0
Sociodemographic variation in dispositional forgivingness: a cross-national analysis with 22 countries DOI Creative Commons
Richard G. Cowden, Everett L. Worthington,

C. Chung

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 30, 2025

We used nationally representative data from the first wave of Global Flourishing Study (N = 202,898) to (1) explore distribution forgivingness in 22 geographically and culturally diverse countries (2) identify potential differences dispositional across nine sociodemographic characteristics (age, gender, marital status, employment years education, immigration frequency religious service attendance, affiliation, racial/ethnic identity). Our descriptive analysis supported substantial cross-national variation proportion people who endorsed 'often/always' forgiving others, ranging .41 (Türkiye) .92 (Nigeria). estimated country-level statistics for each category, then performed a series random effects meta-analyses aggregate results countries. Meta-analytic provided evidence subgroup attendance (to lesser extent) age, with highest observed among attended services more than once week those 80 or older. However, varied considerably countries, including variables that did not show clear when country-specific estimates were pooled. findings lay foundation population-level assessment forgiveness over time public health strategies promote forgiveness.

Language: Английский

Citations

0