Related Experiment Video
Updated: Jul 6, 2025

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
Marital status and cause-specific mortality: A population-based prospective cohort study in southern Sweden
Martin Lindström1, Mirnabi Pirouzifard1, Maria Rosvall1,2
1Social Medicine and Health Policy, Department of Clinical Sciences in Malmö and Centre for Primary Health Care Research, Lund University, S-205 02 Malmö, Sweden.
Abstract:
The aim was to investigate associations between marital status and mortality with a prospective cohort study design. A public health survey including adults aged 18-80 was conducted with a postal questionnaire in southern Sweden in 2008 (54.1% participation). The survey formed a baseline that was linked to 8.3-year follow-up all-cause, cardiovascular (CVD), cancer and other cause mortality. The present investigation entails 14,750 participants aged 45-80. Associations between marital status and mortality were investigated with multiple Cox-regression analyses. A 72.8% prevalence of respondents were married/cohabitating, 9.1% never married, 12.2% divorced and 5.9% widows/widowers. Marital status was associated with age, sex, socioeconomic status (SES) by occupation, country of birth, chronic disease, Body Mass Index (BMI), health-related behaviors and generalized trust covariates. Never married/single, divorced, and widowed men had significantly higher hazard rate ratios (HRRs) of all-cause mortality than the reference category married/cohabitating men throughout the multiple analyses. For men, CVD and other cause mortality showed similar significant results, but not cancer. No significant associations were displayed for women in the multiple analyses. Associations between marital status and mortality are stronger among men than women. Associations between marital status and cancer mortality are not statistically significant with low effect measures throughout the multiple analyses among both men and women.
Related Concept Videos
Applications of Life Tables
Relationship Formation
Assumptions of Survival Analysis
Longitudinal Research
Hypothesis Test for Test of Independence
H0: The two variables (factors)...
Actuarial Approach
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...

