Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Actuarial Approach01:20

Actuarial Approach

249
The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
249
Life Tables01:22

Life Tables

439
A life table is a statistical tool that summarizes the mortality and survival patterns of a population, providing detailed insights into the likelihood of survival or death across different age intervals within a cohort. By organizing data on survival probabilities and mortality rates, life tables offer a clear snapshot of population dynamics over time. They are extensively used in demography, public health, actuarial science, and ecology to analyze life expectancy, design health interventions,...
439
Longitudinal Research02:20

Longitudinal Research

13.0K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
13.0K
Kaplan-Meier Approach01:24

Kaplan-Meier Approach

505
The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
505
Assumptions of Survival Analysis01:15

Assumptions of Survival Analysis

329
Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.
329
Applications of Life Tables01:22

Applications of Life Tables

282
Life tables are versatile across various fields, providing a quantitative basis for analyzing mortality and survival rates. Whether used by demographers, actuaries, epidemiologists, or sociologists, life tables offer valuable insights into the dynamics of life and death, facilitating informed decisions in public health, insurance, conservation, and beyond. Their broad applicability highlights the interconnectedness of demographic data with practical outcomes in everyday life and strategic...
282

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Cost-effectiveness of protein-rich meals and snacks for increasing protein intake in older adults.

The journal of nutrition, health & aging·2024
Same author

Dietary Saturated Fat and Bone Health in Young Adults: The Young Finns Cohort.

Calcified tissue international·2022
Same author

The importance of clinical and labour market histories in psychiatric disability retirement: analysis of the comprehensive Finnish national-level RETIRE data.

Social psychiatry and psychiatric epidemiology·2019
Same author

Educational differences in years of working life lost due to disability retirement.

European journal of public health·2018
Same author

Assessment of PARP protein expression in epithelial ovarian cancer by ELISA pharmacodynamic assay and immunohistochemistry.

Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine·2016
Same author

Adolescence physical activity is associated with higher tibial pQCT bone values in adulthood after 28-years of follow-up--the Cardiovascular Risk in Young Finns Study.

Bone·2015

Related Experiment Video

Updated: Dec 29, 2025

The Floating Lab: Standard Operational Procedure for Collecting and Filtering Seawater Samples from Operating Ferries for Environmental DNA Analysis
06:22

The Floating Lab: Standard Operational Procedure for Collecting and Filtering Seawater Samples from Operating Ferries for Environmental DNA Analysis

Published on: August 1, 2025

923

Mortality among seafarers: a register-based follow-up study.

H Rinne1, M Laaksonen2, V Notkola1

  • 1Rehabilitation Foundation, Helsinki, Finland.

Occupational Medicine (Oxford, England)
|February 4, 2020
PubMed
Summary

Seafarers face higher mortality risks than other employees, particularly from alcohol and smoking-related causes. These risks persist even after accounting for sociodemographic factors, highlighting the need for healthier work practices at sea.

Keywords:
Cause of deathmortalityoccupationoccupational healthseafarer

More Related Videos

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

15.0K

Related Experiment Videos

Last Updated: Dec 29, 2025

The Floating Lab: Standard Operational Procedure for Collecting and Filtering Seawater Samples from Operating Ferries for Environmental DNA Analysis
06:22

The Floating Lab: Standard Operational Procedure for Collecting and Filtering Seawater Samples from Operating Ferries for Environmental DNA Analysis

Published on: August 1, 2025

923
Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

15.0K

Area of Science:

  • Occupational Health
  • Maritime Medicine
  • Epidemiology

Background:

  • Seafarers encounter numerous occupational hazards.
  • Understanding their long-term health outcomes is crucial.

Purpose of the Study:

  • To compare mortality rates between seafarers and other employees.
  • To investigate variations in mortality among different seafaring roles.
  • To determine the influence of sociodemographic factors on seafarer mortality.

Main Methods:

  • A Finnish register-based cohort study of seafarers and other employees (2000-2013).
  • Analysis included age-standardized death rates and standardized mortality ratios (SMR).
  • Cox proportional hazard models were used to assess mortality risks.

Main Results:

  • Seafarers exhibited a 1.3 times higher risk of death compared to other employees (men SMR 132, women SMR 125).
  • Elevated mortality was observed for alcohol-related (men SMR 172, women SMR 262) and smoking-related causes.
  • Higher mortality was noted in deck, engine crew, and galley personnel, partly explained by sociodemographic factors.

Conclusions:

  • Seafarers, particularly men, experience increased mortality, even after adjusting for sociodemographic factors.
  • Findings indicate a need for interventions promoting healthy behaviors to mitigate occupational risks in seafaring.