Longitudinal methods for life course research: A comparison of sequence analysis, latent class growth models, and multi-state event history models for studying partnership transitions

Mikolai, Júlia; Lyons-Amos, Mark

doi:10.14301/llcs.v8i2.415

Cited by 21 publications

(21 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…It is opposed to conventional approaches in epidemiology that consider each state independently from one another. The comparison of SSA with other methods, which can be appropriate for the study of a care pathway, such as latent class analysis (LCA), revealed that both methodologies yield similar clustering results 41,49,50 . These studies have highlighted that SSA is easier to use and to compute than LCA and that, unlike LCA, it does not require specification of a model.…”

Section: Table 4 Here 4 Discussionmentioning

confidence: 99%

Use of state sequence analysis for care pathway analysis: The example of multiple sclerosis

Roux

Grimaud

Leray

2018

Stat Methods Med Res

View full text Add to dashboard Cite

The concept of care pathways is increasingly being used to enhance the quality of care and to optimize the use of resources for health care. We here propose an innovative method in epidemiology that is derived from social sciences: state sequence analysis (SSA). This method takes into account the chronology of care consumption and allows for identification of specific patterns. A process for using SSA in the health area is proposed and discussed. The main steps are: data coding, measurement of dissimilarities between sequences (focusing on optimal matching methods and the choice of related costs), and application of a clustering method to obtain a typology of sequence patterns. As an example of its use in the health area, SSA was employed to analyse care pathways of a random sample of patients with multiple sclerosis. This sample has been selected from the main French healthcare database covering the period 2007 to 2013 ( n = 1 000). A five-cluster typology was obtained which allowed distinction of care consumption groups. Overall, about half of the patients had low care consumption, about one quarter had medium to high consumption, and another quarter had high consumption. We conclude that state sequence analysis is an innovative and flexible methodology that is worth considering in health care research.

show abstract

Section: Table 4 Here 4 Discussionmentioning

confidence: 99%

Use of state sequence analysis for care pathway analysis: The example of multiple sclerosis

Roux

Grimaud

Leray

2018

Stat Methods Med Res

View full text Add to dashboard Cite

show abstract

“…A weekly labour state measure could have led to underestimation of short employment spells because approximately one-fth of these were less than four days (results not shown). Another limitation comes from the use of two modelling methods based on simplifying assumptions, which may have implications for the robustness and reliability of the results; therefore, any conclusion derived should be considered carefully [17,52]. In this regard, LMP patterns in the early working life cohorts may not represent homogeneous groups because their global ASW showed lower values than recommended.…”

Section: Discussionmentioning

confidence: 99%

Sickness absence trajectories following labour market participation patterns: a cohort study in Catalonia (Spain), 2012-2014

Hernando-Rodriguez

Serra²,

Benavides

et al. 2020

Preprint

View full text Add to dashboard Cite

Background Previous studies have focused on the relationship between employment pathways and health-related outcomes based on cross-sectional or longitudinal approaches. However, little is known about the cumulative effects of employment status mobility on sickness absence (SA) over time. The aim of the present study was to examine the association between prior labour market participation (LMP) patterns and SA trajectories from a life-course perspective. Methods This cohort study was based on a sample of 11,968 salaried workers living in Catalonia and affiliated with the Spanish Social Security system, who accumulated more than 15 days on SA in at least one quarter during 2012–2014. Individuals were grouped into three different working life stages: early (18–25 years), middle (26–35 years), and late (36–45 years). To identify LMP patterns, we applied sequence analysis and cluster analysis (2002–2011), and we used latent class growth modelling to identify SA trajectories (2012–2014). Finally, we applied multinomial logistic regression models to assess the relationship between LMP patterns and SA trajectories. Results The analyses yielded six LMP patterns: stable employment (value range: 63%–81%), increasing employment (5%–22%), without long-term coverage (7%–8%), decreasing employment (4%–10%), fluctuant employment (13%–14%), and steeply decreasing employment (7%–9%). We also identified four SA trajectories: low stable (83%–88%), decreasing (5%–9%), increasing (5%–11%), and high stable (7%–16%). However, the only significant association we identified for LMP patterns and SA trajectories was among young men, for whom an increasing employment pattern was significantly associated with a lower risk for increased days on SA (adjusted odds ratio: 0.21; 95% confidence interval: 0.05–0.96). Conclusions SA trajectories are generally not related to prior 10-year LMP patterns at any stage of working life. To disentangle this relationship, future research might benefit from considering working life transitions with a quality-of-work approach framed with contextual factors closer to the SA course.

show abstract

“…Furthermore, a certain cost is attached to each operation. The distance between two sequences is defined by the minimum cost of the operations (replacement, insertion, or deletion) that is required for two sequences to become identical (Abbott 1995;Abbott and Tsay 2000;Barban and Billari 2012;Billari 2001b;Mikolai and Lyons-Amos 2017). The distances are stored in a dissimilarity matrix.…”

Section: Methodsmentioning

confidence: 99%

“…We included a number of independent variables in the multinomial logistic regression to understand how individual characteristics predict cluster membership of separated individuals. It is not possible to include time-varying covariates in sequence analysis (Mikolai and Lyons-Amos 2017); therefore, all covariates were measured at the time of separation. Educational level was measured as low (O level, CSE, none), medium (A level), and high (university degree or teaching qualification).…”

Section: Variablesmentioning

confidence: 99%

Union dissolution and housing trajectories in Britain

Mikolai¹,

Kulu²

2019

DemRes

Self Cite

View full text Add to dashboard Cite

BACKGROUND A growing body of literature shows that divorce and separation have negative consequences for individuals' residential mobility and housing conditions. Yet, no study to date has examined housing trajectories of separated individuals. OBJECTIVE We investigate housing trajectories of separated men and women using longitudinal data from Britain. METHODS We apply sequence analysis to data from 18 waves of the British Household Panel Survey (1991-2008). We use time since separation as the 'clock' in our analysis and examine the sensitivity of the results to attrition, the length of the observation window, and the choice of classification criteria. RESULTS We identify five types of housing trajectories among separated individuals: 'owner stayers,' 'owner movers,' 'social rent stayers,' 'social rent movers,' and 'private renters.' Men are more likely to stay in homeownership, whereas women are more likely to stay in social housing. There is an expected educational gradient: Highly educated individuals are likely to remain homeowners, whereas people with low educational level have a high propensity to stay in or to move to social housing. Overall, this study shows that some individuals can afford homeownership after separation, and that social housing offers a safety net for the most vulnerable population subgroups (low-educated women with children). However, a significant group of separated individuals is unable to afford homeownership in a country where homeownership is still the norm. http://www.demographic-research.org CONTRIBUTION This study shows that separation has long-term consequences for individuals' housing conditions and that post-separation housing trajectories are significantly shaped by individuals' socioeconomic characteristics.

show abstract

Longitudinal methods for life course research: A comparison of sequence analysis, latent class growth models, and multi-state event history models for studying partnership transitions

Cited by 21 publications

References 20 publications

Use of state sequence analysis for care pathway analysis: The example of multiple sclerosis

Use of state sequence analysis for care pathway analysis: The example of multiple sclerosis

Sickness absence trajectories following labour market participation patterns: a cohort study in Catalonia (Spain), 2012-2014

Union dissolution and housing trajectories in Britain

Contact Info

Product

Resources

About