Demographic and socioeconomic predictors of religious/spiritual beliefs and behaviours in a prospective cohort study (ALSPAC) in Southwest England: Results from the offspring generation [version 1; peer review: awaiting peer review]

Background: We explored associations between possible demographic and socioeconomic causes of religious/spiritual beliefs and behaviours (RSBB) in the offspring generation of the Avon Longitudinal Study of Parents and Children (ALSPAC). Methods: We examined approximately 4,450 offspring aged 28 years with RSBB data from a prospective birth cohort study (ALSPAC) in Southwest England. Three RSBB outcome measures were assessed: religious belief (belief in God/a divine power; yes/not sure/no), religious affiliation (Christian/none/other) and religious attendance (frequency of attendance at a place of worship). We explored age- and sex-adjusted associations between 35 demographic and socioeconomic exposures and each of the three RSBB outcomes using multinomial regression. Exposure-sex interactions were also examined. Results: Some sociodemographic factors were associated with RSBB in this cohort; for instance, being female and from an ethnicity other than White were associated with increased religiosity across all domains. For many other exposures, however, associations were frequently null or inconsistent, often depending on the specific exposure and outcome combination.

[1]  K. Northstone,et al.  Religious/spiritual beliefs and behaviours and study participation in a prospective cohort study (ALSPAC) in Southwest England , 2022, Wellcome Open Research.

[2]  K. Northstone,et al.  Demographic and socioeconomic predictors of religious/spiritual beliefs and behaviours in a prospective cohort study (ALSPAC) in Southwest England: Results from the parental generation , 2022, Wellcome open research.

[3]  Jonathan L. Weigel,et al.  The religiosity gender gap in 14 diverse societies , 2022, Religion, Brain & Behavior.

[4]  K. Northstone,et al.  Demographic and socioeconomic predictors of religious/spiritual beliefs and behaviours in a prospective cohort study (ALSPAC) in Southwest England: Results from the parental generation [version 1; peer review: awaiting peer review] , 2022 .

[5]  N. Timpson,et al.  Bias from questionnaire invitation and response in COVID-19 research: an example using ALSPAC , 2021, Wellcome open research.

[6]  J. Sterne,et al.  Collider bias undermines our understanding of COVID-19 disease risk and severity , 2020, Nature Communications.

[7]  Landon Schnabel OPIATE OF THE MASSES? INEQUALITY, RELIGION, AND POLITICAL IDEOLOGY IN THE UNITED STATES , 2020 .

[8]  A. Shields,et al.  Building towards common psychosocial measures in U.S. cohort studies: principal investigators’ views regarding the role of religiosity and spirituality in human health , 2020, BMC Public Health.

[9]  J. Heron,et al.  Adverse childhood experiences in the children of the Avon Longitudinal Study of Parents and Children (ALSPAC) [version 1; peer review: 3 approved] , 2020 .

[10]  Maxine B. Najle,et al.  The Origins of Religious Disbelief: A Dual Inheritance Approach , 2019, Social Psychological and Personality Science.

[11]  Carles Hernandez-Ferrer,et al.  Comprehensive study of the exposome and omic data using rexposome Bioconductor Packages , 2019, Bioinform..

[12]  Jonathan A C Sterne,et al.  Accounting for missing data in statistical analyses: multiple imputation is not always the answer , 2019, International journal of epidemiology.

[13]  Tom R. Gaunt,et al.  The Avon Longitudinal Study of Parents and Children (ALSPAC): an update on the enrolled sample of index children in 2019 , 2019, Wellcome open research.

[14]  J. Halberstadt,et al.  Death salience moderates the effect of trauma on religiosity. , 2019, Psychological trauma : theory, research, practice and policy.

[15]  J. Heron,et al.  Adverse childhood experiences in the children of the Avon Longitudinal Study of Parents and Children (ALSPAC) , 2018, Wellcome open research.

[16]  Miguel A Hernán,et al.  The C-Word: Scientific Euphemisms Do Not Improve Causal Inference From Observational Data , 2018, American journal of public health.

[17]  Will M. Gervais,et al.  Analytic atheism: A cross-culturally weak and fickle phenomenon? , 2018, Judgment and Decision Making.

[18]  A. Willard,et al.  Testing theories of secularization and religious belief in the Czech Republic and Slovakia , 2017 .

[19]  David M. Evans,et al.  Collider scope: when selection bias can substantially influence observed associations , 2016, bioRxiv.

[20]  Michael D. Buhrmester,et al.  Religious actions speak louder than words: exposure to credibility-enhancing displays predicts theism , 2017 .

[21]  M. Brucker Social Determinants of Health. , 2017, Nursing for women's health.

[22]  T. VanderWeele,et al.  Causal inference and longitudinal data: a case study of religion and mental health , 2016, Social Psychiatry and Psychiatric Epidemiology.

[23]  T. VanderWeele,et al.  Religious Service Attendance and Lower Depression Among Women—a Prospective Cohort Study , 2016, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.

[24]  J. Pearl,et al.  Causal Inference in Statistics: A Primer , 2016 .

[25]  T. VanderWeele RELIGION AND HEALTH: A SYNTHESIS , 2016 .

[26]  Philip Schwadel,et al.  Explaining Cross‐National Variation in the Effect of Higher Education on Religiosity , 2015 .

[27]  S. Greenland,et al.  The table 2 fallacy: presenting and interpreting confounder and modifier coefficients. , 2013, American journal of epidemiology.

[28]  D. Lawlor,et al.  Cohort Profile: The ‘Children of the 90s’—the index offspring of the Avon Longitudinal Study of Parents and Children , 2012, International journal of epidemiology.

[29]  D. Lawlor,et al.  Cohort Profile: The Avon Longitudinal Study of Parents and Children: ALSPAC mothers cohort , 2012, International journal of epidemiology.

[30]  Jonathan P. Hill Faith and Understanding: Specifying the Impact of Higher Education on Religious Belief , 2011 .

[31]  D. Weakliem,et al.  Educational Attainment and Religiosity: Exploring Variations by Religious Tradition , 2011 .

[32]  Daniel M. Hungerman The Effect of Education on Religion: Evidence from Compulsory Schooling Laws , 2011 .

[33]  P. Harris,et al.  Research electronic data capture (REDCap) - A metadata-driven methodology and workflow process for providing translational research informatics support , 2009, J. Biomed. Informatics.

[34]  Aaron C. Kay,et al.  God and the government: testing a compensatory control mechanism for the support of external systems. , 2008, Journal of personality and social psychology.

[35]  Jonathan A C Sterne,et al.  Sifting the evidence—what's wrong with significance tests? , 2001, BMJ : British Medical Journal.

[36]  Sara C. Charles,et al.  Handbook of Religion and Health , 2001 .

[37]  M Schemper,et al.  Explained variation for logistic regression. , 1996, Statistics in medicine.

[38]  M. Wadsworth,et al.  Generation Differences in Beliefs: A Cohort Study of Stability and Change in Religious Beliefs , 1983 .

[39]  D. McFadden Quantitative Methods for Analyzing Travel Behaviour of Individuals: Some Recent Developments , 1977 .