@article{fdi:010073055,
  title = {{H}ow to use sequence analysis for life course epidemiology ? : an example on {HIV}-positive {S}ub-{S}aharan migrants in {F}rance},
  author = {{G}osselin, {A}. and {D}esgr{\'e}es du {L}oû, {A}nnabel and {L}eli{\`e}vre, {E}. and {P}arcours {S}tudy {G}roup},
  editor = {},
  language = {{ENG}},
  abstract = {{B}ackground {L}ife course epidemiology is now an established field in social epidemiology; in sociodemography, the quantitative analysis of biographies recently experienced significant trend from event history analysis to sequence analysis. {T}he purpose of this article is to introduce and adapt this methodology to a social epidemiology question, taking the example of the impact of {HIV} diagnosis on {S}ub-{S}aharan migrants' residential trajectories in the {P}aris region. {M}ethods {T}he sample consists of 640 migrants born in {S}ub-{S}aharan {A}frica receiving {HIV} care. {T}hey were interviewed in healthcare facilities in the {P}aris region within the {PARCOURS} project, conducted from 2012 to 2013, using life event history calendars, which recorded year by year their health, family and residential histories. {W}e introduce a two-step methodological approach consisting of (1) sequence analysis by optimal matching to build a typology of migrants' residential pathways before and after diagnosis, and (2) a {C}ox model of the probability to experience changes in the residential situation. {R}esults {T}he seven-clusters typology shows that for a majority, the {HIV} diagnosis did not entail changes in residential situation. {H}owever 30% of the migrants experienced a change in their residential situation at time of diagnosis. {T}he {C}ox model analysis reveals that this residential change was in fact moving in with one's partner ({HR} 2.99, {P}<0.000) rather than network rejection. {C}onclusion {T}his original combination of sequence analysis and {C}ox models is a powerful process that could be applied to other themes and constitutes a new approach in the life course epidemiology toolbox. {T}rial registration number {NCT}02566148.},
  keywords = {communicable diseases ; demography ; epidemiological methods ; life course ; epidemiology ; longitudinal studies ; {AFRIQUE} {SUBSAHARIENNE} ; {FRANCE}},
  booktitle = {},
  journal = {{J}ournal of {E}pidemiology and {C}ommunity {H}ealth},
  volume = {72},
  numero = {6},
  pages = {507--512},
  ISSN = {0143-005{X}},
  year = {2018},
  DOI = {10.1136/jech-2017-209739},
  URL = {https://www.documentation.ird.fr/hor/fdi:010073055},
}