Modelling life trajectories of body-mass index:
Body-mass index (BMI) tends to follow a typical trajectory over the life-course of an individual, increasing in early life while decreasing after middle age. To be able to reflect these trends in the OECD Strategic Public Health Planning for Non-Communicable Diseases (SPHeP-NCDs) model, this paper a...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Weitere beteiligte Personen: | |
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Paris
OECD Publishing
2021
|
| Schriftenreihe: | OECD Health Working Papers
|
| Schlagwörter: | |
| Links: | https://doi.org/10.1787/0425d231-en |
| Zusammenfassung: | Body-mass index (BMI) tends to follow a typical trajectory over the life-course of an individual, increasing in early life while decreasing after middle age. To be able to reflect these trends in the OECD Strategic Public Health Planning for Non-Communicable Diseases (SPHeP-NCDs) model, this paper analyses longitudinal BMI data from 22 countries to build a mixed, autoregressive model predicting an individual's BMI based on their sex, age and previous BMI. The resulting model shows how young people are likely to see an increase in BMI year-on-year, even if they already have overweight or obesity. It also shows that that a healthy weight in childhood does not protect against future overweight, as BMI continues to increase well into adulthood even for children who start off with a healthy weight. The results of this analysis will be incorporated in the OECD SPHeP NCDs model, to better simulate the longer-term impact of interventions, in particular interventions targeting childhood obesity |
| Umfang: | 1 Online-Ressource (29 Seiten) 21 x 28cm |
| DOI: | 10.1787/0425d231-en |
Internformat
MARC
| LEADER | 00000nam a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV047928009 | ||
| 003 | DE-604 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 220413s2021 xx o|||| 00||| eng d | ||
| 024 | 7 | |a 10.1787/0425d231-en |2 doi | |
| 035 | |a (ZDB-13-SOC)072589639 | ||
| 035 | |a (OCoLC)1312699882 | ||
| 035 | |a (DE-599)BVBBV047928009 | ||
| 040 | |a DE-604 |b ger |e aacr | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-384 |a DE-91 |a DE-473 |a DE-824 |a DE-29 |a DE-739 |a DE-355 |a DE-20 |a DE-1028 |a DE-1049 |a DE-188 |a DE-521 |a DE-861 |a DE-898 |a DE-92 |a DE-573 |a DE-19 | ||
| 100 | 1 | |a Vuik, Sabine |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Modelling life trajectories of body-mass index |c Sabine Vuik and Michele Cecchini |
| 264 | 1 | |a Paris |b OECD Publishing |c 2021 | |
| 300 | |a 1 Online-Ressource (29 Seiten) |c 21 x 28cm | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 0 | |a OECD Health Working Papers | |
| 520 | |a Body-mass index (BMI) tends to follow a typical trajectory over the life-course of an individual, increasing in early life while decreasing after middle age. To be able to reflect these trends in the OECD Strategic Public Health Planning for Non-Communicable Diseases (SPHeP-NCDs) model, this paper analyses longitudinal BMI data from 22 countries to build a mixed, autoregressive model predicting an individual's BMI based on their sex, age and previous BMI. The resulting model shows how young people are likely to see an increase in BMI year-on-year, even if they already have overweight or obesity. It also shows that that a healthy weight in childhood does not protect against future overweight, as BMI continues to increase well into adulthood even for children who start off with a healthy weight. The results of this analysis will be incorporated in the OECD SPHeP NCDs model, to better simulate the longer-term impact of interventions, in particular interventions targeting childhood obesity | ||
| 650 | 4 | |a Social Issues/Migration/Health | |
| 700 | 1 | |a Cecchini, Michele |4 ctb | |
| 856 | 4 | 0 | |u https://doi.org/10.1787/0425d231-en |x Verlag |z kostenfrei |3 Volltext |
| 912 | |a ZDB-13-SOC | ||
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-033309502 | |
Datensatz im Suchindex
| DE-BY-TUM_katkey | 2624376 |
|---|---|
| _version_ | 1821936276904869889 |
| adam_text | |
| any_adam_object | |
| author | Vuik, Sabine |
| author2 | Cecchini, Michele |
| author2_role | ctb |
| author2_variant | m c mc |
| author_facet | Vuik, Sabine Cecchini, Michele |
| author_role | aut |
| author_sort | Vuik, Sabine |
| author_variant | s v sv |
| building | Verbundindex |
| bvnumber | BV047928009 |
| collection | ZDB-13-SOC |
| ctrlnum | (ZDB-13-SOC)072589639 (OCoLC)1312699882 (DE-599)BVBBV047928009 |
| discipline | Wirtschaftswissenschaften |
| doi_str_mv | 10.1787/0425d231-en |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a2200000zc 4500</leader><controlfield tag="001">BV047928009</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">220413s2021 xx o|||| 00||| eng d</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1787/0425d231-en</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-13-SOC)072589639</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1312699882</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV047928009</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">aacr</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-384</subfield><subfield code="a">DE-91</subfield><subfield code="a">DE-473</subfield><subfield code="a">DE-824</subfield><subfield code="a">DE-29</subfield><subfield code="a">DE-739</subfield><subfield code="a">DE-355</subfield><subfield code="a">DE-20</subfield><subfield code="a">DE-1028</subfield><subfield code="a">DE-1049</subfield><subfield code="a">DE-188</subfield><subfield code="a">DE-521</subfield><subfield code="a">DE-861</subfield><subfield code="a">DE-898</subfield><subfield code="a">DE-92</subfield><subfield code="a">DE-573</subfield><subfield code="a">DE-19</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Vuik, Sabine</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Modelling life trajectories of body-mass index</subfield><subfield code="c">Sabine Vuik and Michele Cecchini</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Paris</subfield><subfield code="b">OECD Publishing</subfield><subfield code="c">2021</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (29 Seiten)</subfield><subfield code="c">21 x 28cm</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">OECD Health Working Papers</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Body-mass index (BMI) tends to follow a typical trajectory over the life-course of an individual, increasing in early life while decreasing after middle age. To be able to reflect these trends in the OECD Strategic Public Health Planning for Non-Communicable Diseases (SPHeP-NCDs) model, this paper analyses longitudinal BMI data from 22 countries to build a mixed, autoregressive model predicting an individual's BMI based on their sex, age and previous BMI. The resulting model shows how young people are likely to see an increase in BMI year-on-year, even if they already have overweight or obesity. It also shows that that a healthy weight in childhood does not protect against future overweight, as BMI continues to increase well into adulthood even for children who start off with a healthy weight. The results of this analysis will be incorporated in the OECD SPHeP NCDs model, to better simulate the longer-term impact of interventions, in particular interventions targeting childhood obesity</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Social Issues/Migration/Health</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Cecchini, Michele</subfield><subfield code="4">ctb</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1787/0425d231-en</subfield><subfield code="x">Verlag</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-13-SOC</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-033309502</subfield></datafield></record></collection> |
| id | DE-604.BV047928009 |
| illustrated | Not Illustrated |
| indexdate | 2025-01-11T15:45:07Z |
| institution | BVB |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033309502 |
| oclc_num | 1312699882 |
| open_access_boolean | 1 |
| owner | DE-384 DE-91 DE-BY-TUM DE-473 DE-BY-UBG DE-824 DE-29 DE-739 DE-355 DE-BY-UBR DE-20 DE-1028 DE-1049 DE-188 DE-521 DE-861 DE-898 DE-BY-UBR DE-92 DE-573 DE-19 DE-BY-UBM |
| owner_facet | DE-384 DE-91 DE-BY-TUM DE-473 DE-BY-UBG DE-824 DE-29 DE-739 DE-355 DE-BY-UBR DE-20 DE-1028 DE-1049 DE-188 DE-521 DE-861 DE-898 DE-BY-UBR DE-92 DE-573 DE-19 DE-BY-UBM |
| physical | 1 Online-Ressource (29 Seiten) 21 x 28cm |
| psigel | ZDB-13-SOC |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | OECD Publishing |
| record_format | marc |
| series2 | OECD Health Working Papers |
| spellingShingle | Vuik, Sabine Modelling life trajectories of body-mass index Social Issues/Migration/Health |
| title | Modelling life trajectories of body-mass index |
| title_auth | Modelling life trajectories of body-mass index |
| title_exact_search | Modelling life trajectories of body-mass index |
| title_full | Modelling life trajectories of body-mass index Sabine Vuik and Michele Cecchini |
| title_fullStr | Modelling life trajectories of body-mass index Sabine Vuik and Michele Cecchini |
| title_full_unstemmed | Modelling life trajectories of body-mass index Sabine Vuik and Michele Cecchini |
| title_short | Modelling life trajectories of body-mass index |
| title_sort | modelling life trajectories of body mass index |
| topic | Social Issues/Migration/Health |
| topic_facet | Social Issues/Migration/Health |
| url | https://doi.org/10.1787/0425d231-en |
| work_keys_str_mv | AT vuiksabine modellinglifetrajectoriesofbodymassindex AT cecchinimichele modellinglifetrajectoriesofbodymassindex |