Are there differences in the quality of the diet of working and stay-at-home women?
ABSTRACT OBJECTIVE To verify whether there is an association between the quality of the diet and the inclusion of women in the labor market and whether the education level would modify this association. We have analyzed the differences according to education level and evaluated whether the insertio...
Ausführliche Beschreibung
Autor*in: |
Daniela de Assumpção [verfasserIn] Caroline Senicato [verfasserIn] Regina Mara Fisberg [verfasserIn] Ana Maria Canesqui [verfasserIn] Marilisa Berti de Azevedo Barros [verfasserIn] |
---|
Format: |
E-Artikel |
---|---|
Sprache: |
Englisch ; Spanisch ; Portugiesisch |
Erschienen: |
2018 |
---|
Schlagwörter: |
---|
Übergeordnetes Werk: |
In: Revista de Saúde Pública - Universidade de São Paulo, 2004, 52(2018), 0 |
---|---|
Übergeordnetes Werk: |
volume:52 ; year:2018 ; number:0 |
Links: |
---|
DOI / URN: |
10.11606/s1518-8787.2018052000104 |
---|
Katalog-ID: |
DOAJ055424627 |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | DOAJ055424627 | ||
003 | DE-627 | ||
005 | 20230308191150.0 | ||
007 | cr uuu---uuuuu | ||
008 | 230227s2018 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.11606/s1518-8787.2018052000104 |2 doi | |
035 | |a (DE-627)DOAJ055424627 | ||
035 | |a (DE-599)DOAJcc51e409435f4b208dc356361843f939 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng |a spa |a por | ||
050 | 0 | |a RA1-1270 | |
100 | 0 | |a Daniela de Assumpção |e verfasserin |4 aut | |
245 | 1 | 0 | |a Are there differences in the quality of the diet of working and stay-at-home women? |
264 | 1 | |c 2018 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
520 | |a ABSTRACT OBJECTIVE To verify whether there is an association between the quality of the diet and the inclusion of women in the labor market and whether the education level would modify this association. We have analyzed the differences according to education level and evaluated whether the insertion or not in the market modifies the association between the quality of the diet and education level. METHODS This is a cross-sectional population-based study that has used data from the Campinas Health Survey (2008 ISACamp). We have evaluated the diet of 464 women, aged 18 to 64 years, using the Brazilian Healthy Eating Index – Revised. We have estimated the means of the total score and index components using simple and multiple linear regression. RESULTS We have observed no difference in the quality of diet of working and stay-at-home women. The analysis stratified by education level showed a lower intake of fruits among stay-at-home women in the segment of lower education level, in relation to working women. Among all women, a lower education level was associated with lower overall quality of the diet, higher intake of sodium, and lower intake of fruits, vegetables, whole grains, milk, and saturated fat. On the other hand, the inclusion in the labor market changed the effect of the education level on the quality of the diet. In the stay-at-home stratum, a low education level was associated with poorer quality of the diet and lower consumption of fruits, dark green and orange vegetables, and whole grains. Among the working women, a low education level was associated with higher intake of sodium and lower intake of vegetables, whole grains, and milk and dairy products. CONCLUSIONS The results show inequities in the profile of food in relation to education level and inclusion in the labor market, which shows the relevance of public policies that increase the access to education and provide guidance on a healthy diet. | ||
650 | 4 | |a Women | |
650 | 4 | |a Women, Working | |
650 | 4 | |a Healthy Diet | |
650 | 4 | |a Socioeconomic Factors | |
650 | 4 | |a Health Inequalities | |
650 | 4 | |a Diet Surveys | |
653 | 0 | |a Public aspects of medicine | |
700 | 0 | |a Caroline Senicato |e verfasserin |4 aut | |
700 | 0 | |a Regina Mara Fisberg |e verfasserin |4 aut | |
700 | 0 | |a Ana Maria Canesqui |e verfasserin |4 aut | |
700 | 0 | |a Marilisa Berti de Azevedo Barros |e verfasserin |4 aut | |
773 | 0 | 8 | |i In |t Revista de Saúde Pública |d Universidade de São Paulo, 2004 |g 52(2018), 0 |w (DE-627)324824793 |w (DE-600)2031055-9 |x 15188787 |7 nnns |
773 | 1 | 8 | |g volume:52 |g year:2018 |g number:0 |
856 | 4 | 0 | |u https://doi.org/10.11606/s1518-8787.2018052000104 |z kostenfrei |
856 | 4 | 0 | |u https://doaj.org/article/cc51e409435f4b208dc356361843f939 |z kostenfrei |
856 | 4 | 0 | |u http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0034-89102018000100237&lng=en&tlng=en |z kostenfrei |
856 | 4 | 2 | |u https://doaj.org/toc/1518-8787 |y Journal toc |z kostenfrei |
912 | |a GBV_USEFLAG_A | ||
912 | |a SYSFLAG_A | ||
912 | |a GBV_DOAJ | ||
912 | |a GBV_ILN_20 | ||
912 | |a GBV_ILN_22 | ||
912 | |a GBV_ILN_23 | ||
912 | |a GBV_ILN_24 | ||
912 | |a GBV_ILN_31 | ||
912 | |a GBV_ILN_39 | ||
912 | |a GBV_ILN_40 | ||
912 | |a GBV_ILN_60 | ||
912 | |a GBV_ILN_62 | ||
912 | |a GBV_ILN_63 | ||
912 | |a GBV_ILN_65 | ||
912 | |a GBV_ILN_69 | ||
912 | |a GBV_ILN_73 | ||
912 | |a GBV_ILN_74 | ||
912 | |a GBV_ILN_95 | ||
912 | |a GBV_ILN_105 | ||
912 | |a GBV_ILN_110 | ||
912 | |a GBV_ILN_151 | ||
912 | |a GBV_ILN_161 | ||
912 | |a GBV_ILN_170 | ||
912 | |a GBV_ILN_206 | ||
912 | |a GBV_ILN_213 | ||
912 | |a GBV_ILN_230 | ||
912 | |a GBV_ILN_285 | ||
912 | |a GBV_ILN_293 | ||
912 | |a GBV_ILN_602 | ||
912 | |a GBV_ILN_2014 | ||
912 | |a GBV_ILN_4012 | ||
912 | |a GBV_ILN_4037 | ||
912 | |a GBV_ILN_4112 | ||
912 | |a GBV_ILN_4125 | ||
912 | |a GBV_ILN_4126 | ||
912 | |a GBV_ILN_4249 | ||
912 | |a GBV_ILN_4305 | ||
912 | |a GBV_ILN_4306 | ||
912 | |a GBV_ILN_4307 | ||
912 | |a GBV_ILN_4313 | ||
912 | |a GBV_ILN_4322 | ||
912 | |a GBV_ILN_4323 | ||
912 | |a GBV_ILN_4324 | ||
912 | |a GBV_ILN_4325 | ||
912 | |a GBV_ILN_4338 | ||
912 | |a GBV_ILN_4367 | ||
912 | |a GBV_ILN_4700 | ||
951 | |a AR | ||
952 | |d 52 |j 2018 |e 0 |
author_variant |
d d a dda c s cs r m f rmf a m c amc m b d a b mbdab |
---|---|
matchkey_str |
article:15188787:2018----::rteeifrneiteultoteitfokn |
hierarchy_sort_str |
2018 |
callnumber-subject-code |
RA |
publishDate |
2018 |
allfields |
10.11606/s1518-8787.2018052000104 doi (DE-627)DOAJ055424627 (DE-599)DOAJcc51e409435f4b208dc356361843f939 DE-627 ger DE-627 rakwb eng spa por RA1-1270 Daniela de Assumpção verfasserin aut Are there differences in the quality of the diet of working and stay-at-home women? 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier ABSTRACT OBJECTIVE To verify whether there is an association between the quality of the diet and the inclusion of women in the labor market and whether the education level would modify this association. We have analyzed the differences according to education level and evaluated whether the insertion or not in the market modifies the association between the quality of the diet and education level. METHODS This is a cross-sectional population-based study that has used data from the Campinas Health Survey (2008 ISACamp). We have evaluated the diet of 464 women, aged 18 to 64 years, using the Brazilian Healthy Eating Index – Revised. We have estimated the means of the total score and index components using simple and multiple linear regression. RESULTS We have observed no difference in the quality of diet of working and stay-at-home women. The analysis stratified by education level showed a lower intake of fruits among stay-at-home women in the segment of lower education level, in relation to working women. Among all women, a lower education level was associated with lower overall quality of the diet, higher intake of sodium, and lower intake of fruits, vegetables, whole grains, milk, and saturated fat. On the other hand, the inclusion in the labor market changed the effect of the education level on the quality of the diet. In the stay-at-home stratum, a low education level was associated with poorer quality of the diet and lower consumption of fruits, dark green and orange vegetables, and whole grains. Among the working women, a low education level was associated with higher intake of sodium and lower intake of vegetables, whole grains, and milk and dairy products. CONCLUSIONS The results show inequities in the profile of food in relation to education level and inclusion in the labor market, which shows the relevance of public policies that increase the access to education and provide guidance on a healthy diet. Women Women, Working Healthy Diet Socioeconomic Factors Health Inequalities Diet Surveys Public aspects of medicine Caroline Senicato verfasserin aut Regina Mara Fisberg verfasserin aut Ana Maria Canesqui verfasserin aut Marilisa Berti de Azevedo Barros verfasserin aut In Revista de Saúde Pública Universidade de São Paulo, 2004 52(2018), 0 (DE-627)324824793 (DE-600)2031055-9 15188787 nnns volume:52 year:2018 number:0 https://doi.org/10.11606/s1518-8787.2018052000104 kostenfrei https://doaj.org/article/cc51e409435f4b208dc356361843f939 kostenfrei http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0034-89102018000100237&lng=en&tlng=en kostenfrei https://doaj.org/toc/1518-8787 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 52 2018 0 |
spelling |
10.11606/s1518-8787.2018052000104 doi (DE-627)DOAJ055424627 (DE-599)DOAJcc51e409435f4b208dc356361843f939 DE-627 ger DE-627 rakwb eng spa por RA1-1270 Daniela de Assumpção verfasserin aut Are there differences in the quality of the diet of working and stay-at-home women? 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier ABSTRACT OBJECTIVE To verify whether there is an association between the quality of the diet and the inclusion of women in the labor market and whether the education level would modify this association. We have analyzed the differences according to education level and evaluated whether the insertion or not in the market modifies the association between the quality of the diet and education level. METHODS This is a cross-sectional population-based study that has used data from the Campinas Health Survey (2008 ISACamp). We have evaluated the diet of 464 women, aged 18 to 64 years, using the Brazilian Healthy Eating Index – Revised. We have estimated the means of the total score and index components using simple and multiple linear regression. RESULTS We have observed no difference in the quality of diet of working and stay-at-home women. The analysis stratified by education level showed a lower intake of fruits among stay-at-home women in the segment of lower education level, in relation to working women. Among all women, a lower education level was associated with lower overall quality of the diet, higher intake of sodium, and lower intake of fruits, vegetables, whole grains, milk, and saturated fat. On the other hand, the inclusion in the labor market changed the effect of the education level on the quality of the diet. In the stay-at-home stratum, a low education level was associated with poorer quality of the diet and lower consumption of fruits, dark green and orange vegetables, and whole grains. Among the working women, a low education level was associated with higher intake of sodium and lower intake of vegetables, whole grains, and milk and dairy products. CONCLUSIONS The results show inequities in the profile of food in relation to education level and inclusion in the labor market, which shows the relevance of public policies that increase the access to education and provide guidance on a healthy diet. Women Women, Working Healthy Diet Socioeconomic Factors Health Inequalities Diet Surveys Public aspects of medicine Caroline Senicato verfasserin aut Regina Mara Fisberg verfasserin aut Ana Maria Canesqui verfasserin aut Marilisa Berti de Azevedo Barros verfasserin aut In Revista de Saúde Pública Universidade de São Paulo, 2004 52(2018), 0 (DE-627)324824793 (DE-600)2031055-9 15188787 nnns volume:52 year:2018 number:0 https://doi.org/10.11606/s1518-8787.2018052000104 kostenfrei https://doaj.org/article/cc51e409435f4b208dc356361843f939 kostenfrei http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0034-89102018000100237&lng=en&tlng=en kostenfrei https://doaj.org/toc/1518-8787 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 52 2018 0 |
allfields_unstemmed |
10.11606/s1518-8787.2018052000104 doi (DE-627)DOAJ055424627 (DE-599)DOAJcc51e409435f4b208dc356361843f939 DE-627 ger DE-627 rakwb eng spa por RA1-1270 Daniela de Assumpção verfasserin aut Are there differences in the quality of the diet of working and stay-at-home women? 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier ABSTRACT OBJECTIVE To verify whether there is an association between the quality of the diet and the inclusion of women in the labor market and whether the education level would modify this association. We have analyzed the differences according to education level and evaluated whether the insertion or not in the market modifies the association between the quality of the diet and education level. METHODS This is a cross-sectional population-based study that has used data from the Campinas Health Survey (2008 ISACamp). We have evaluated the diet of 464 women, aged 18 to 64 years, using the Brazilian Healthy Eating Index – Revised. We have estimated the means of the total score and index components using simple and multiple linear regression. RESULTS We have observed no difference in the quality of diet of working and stay-at-home women. The analysis stratified by education level showed a lower intake of fruits among stay-at-home women in the segment of lower education level, in relation to working women. Among all women, a lower education level was associated with lower overall quality of the diet, higher intake of sodium, and lower intake of fruits, vegetables, whole grains, milk, and saturated fat. On the other hand, the inclusion in the labor market changed the effect of the education level on the quality of the diet. In the stay-at-home stratum, a low education level was associated with poorer quality of the diet and lower consumption of fruits, dark green and orange vegetables, and whole grains. Among the working women, a low education level was associated with higher intake of sodium and lower intake of vegetables, whole grains, and milk and dairy products. CONCLUSIONS The results show inequities in the profile of food in relation to education level and inclusion in the labor market, which shows the relevance of public policies that increase the access to education and provide guidance on a healthy diet. Women Women, Working Healthy Diet Socioeconomic Factors Health Inequalities Diet Surveys Public aspects of medicine Caroline Senicato verfasserin aut Regina Mara Fisberg verfasserin aut Ana Maria Canesqui verfasserin aut Marilisa Berti de Azevedo Barros verfasserin aut In Revista de Saúde Pública Universidade de São Paulo, 2004 52(2018), 0 (DE-627)324824793 (DE-600)2031055-9 15188787 nnns volume:52 year:2018 number:0 https://doi.org/10.11606/s1518-8787.2018052000104 kostenfrei https://doaj.org/article/cc51e409435f4b208dc356361843f939 kostenfrei http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0034-89102018000100237&lng=en&tlng=en kostenfrei https://doaj.org/toc/1518-8787 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 52 2018 0 |
allfieldsGer |
10.11606/s1518-8787.2018052000104 doi (DE-627)DOAJ055424627 (DE-599)DOAJcc51e409435f4b208dc356361843f939 DE-627 ger DE-627 rakwb eng spa por RA1-1270 Daniela de Assumpção verfasserin aut Are there differences in the quality of the diet of working and stay-at-home women? 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier ABSTRACT OBJECTIVE To verify whether there is an association between the quality of the diet and the inclusion of women in the labor market and whether the education level would modify this association. We have analyzed the differences according to education level and evaluated whether the insertion or not in the market modifies the association between the quality of the diet and education level. METHODS This is a cross-sectional population-based study that has used data from the Campinas Health Survey (2008 ISACamp). We have evaluated the diet of 464 women, aged 18 to 64 years, using the Brazilian Healthy Eating Index – Revised. We have estimated the means of the total score and index components using simple and multiple linear regression. RESULTS We have observed no difference in the quality of diet of working and stay-at-home women. The analysis stratified by education level showed a lower intake of fruits among stay-at-home women in the segment of lower education level, in relation to working women. Among all women, a lower education level was associated with lower overall quality of the diet, higher intake of sodium, and lower intake of fruits, vegetables, whole grains, milk, and saturated fat. On the other hand, the inclusion in the labor market changed the effect of the education level on the quality of the diet. In the stay-at-home stratum, a low education level was associated with poorer quality of the diet and lower consumption of fruits, dark green and orange vegetables, and whole grains. Among the working women, a low education level was associated with higher intake of sodium and lower intake of vegetables, whole grains, and milk and dairy products. CONCLUSIONS The results show inequities in the profile of food in relation to education level and inclusion in the labor market, which shows the relevance of public policies that increase the access to education and provide guidance on a healthy diet. Women Women, Working Healthy Diet Socioeconomic Factors Health Inequalities Diet Surveys Public aspects of medicine Caroline Senicato verfasserin aut Regina Mara Fisberg verfasserin aut Ana Maria Canesqui verfasserin aut Marilisa Berti de Azevedo Barros verfasserin aut In Revista de Saúde Pública Universidade de São Paulo, 2004 52(2018), 0 (DE-627)324824793 (DE-600)2031055-9 15188787 nnns volume:52 year:2018 number:0 https://doi.org/10.11606/s1518-8787.2018052000104 kostenfrei https://doaj.org/article/cc51e409435f4b208dc356361843f939 kostenfrei http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0034-89102018000100237&lng=en&tlng=en kostenfrei https://doaj.org/toc/1518-8787 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 52 2018 0 |
allfieldsSound |
10.11606/s1518-8787.2018052000104 doi (DE-627)DOAJ055424627 (DE-599)DOAJcc51e409435f4b208dc356361843f939 DE-627 ger DE-627 rakwb eng spa por RA1-1270 Daniela de Assumpção verfasserin aut Are there differences in the quality of the diet of working and stay-at-home women? 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier ABSTRACT OBJECTIVE To verify whether there is an association between the quality of the diet and the inclusion of women in the labor market and whether the education level would modify this association. We have analyzed the differences according to education level and evaluated whether the insertion or not in the market modifies the association between the quality of the diet and education level. METHODS This is a cross-sectional population-based study that has used data from the Campinas Health Survey (2008 ISACamp). We have evaluated the diet of 464 women, aged 18 to 64 years, using the Brazilian Healthy Eating Index – Revised. We have estimated the means of the total score and index components using simple and multiple linear regression. RESULTS We have observed no difference in the quality of diet of working and stay-at-home women. The analysis stratified by education level showed a lower intake of fruits among stay-at-home women in the segment of lower education level, in relation to working women. Among all women, a lower education level was associated with lower overall quality of the diet, higher intake of sodium, and lower intake of fruits, vegetables, whole grains, milk, and saturated fat. On the other hand, the inclusion in the labor market changed the effect of the education level on the quality of the diet. In the stay-at-home stratum, a low education level was associated with poorer quality of the diet and lower consumption of fruits, dark green and orange vegetables, and whole grains. Among the working women, a low education level was associated with higher intake of sodium and lower intake of vegetables, whole grains, and milk and dairy products. CONCLUSIONS The results show inequities in the profile of food in relation to education level and inclusion in the labor market, which shows the relevance of public policies that increase the access to education and provide guidance on a healthy diet. Women Women, Working Healthy Diet Socioeconomic Factors Health Inequalities Diet Surveys Public aspects of medicine Caroline Senicato verfasserin aut Regina Mara Fisberg verfasserin aut Ana Maria Canesqui verfasserin aut Marilisa Berti de Azevedo Barros verfasserin aut In Revista de Saúde Pública Universidade de São Paulo, 2004 52(2018), 0 (DE-627)324824793 (DE-600)2031055-9 15188787 nnns volume:52 year:2018 number:0 https://doi.org/10.11606/s1518-8787.2018052000104 kostenfrei https://doaj.org/article/cc51e409435f4b208dc356361843f939 kostenfrei http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0034-89102018000100237&lng=en&tlng=en kostenfrei https://doaj.org/toc/1518-8787 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 52 2018 0 |
language |
English Spanish Portuguese |
source |
In Revista de Saúde Pública 52(2018), 0 volume:52 year:2018 number:0 |
sourceStr |
In Revista de Saúde Pública 52(2018), 0 volume:52 year:2018 number:0 |
format_phy_str_mv |
Article |
institution |
findex.gbv.de |
topic_facet |
Women Women, Working Healthy Diet Socioeconomic Factors Health Inequalities Diet Surveys Public aspects of medicine |
isfreeaccess_bool |
true |
container_title |
Revista de Saúde Pública |
authorswithroles_txt_mv |
Daniela de Assumpção @@aut@@ Caroline Senicato @@aut@@ Regina Mara Fisberg @@aut@@ Ana Maria Canesqui @@aut@@ Marilisa Berti de Azevedo Barros @@aut@@ |
publishDateDaySort_date |
2018-01-01T00:00:00Z |
hierarchy_top_id |
324824793 |
id |
DOAJ055424627 |
language_de |
englisch spanisch portugiesisch |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ055424627</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230308191150.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230227s2018 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.11606/s1518-8787.2018052000104</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ055424627</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJcc51e409435f4b208dc356361843f939</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield><subfield code="a">spa</subfield><subfield code="a">por</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">RA1-1270</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Daniela de Assumpção</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Are there differences in the quality of the diet of working and stay-at-home women?</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2018</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">ABSTRACT OBJECTIVE To verify whether there is an association between the quality of the diet and the inclusion of women in the labor market and whether the education level would modify this association. We have analyzed the differences according to education level and evaluated whether the insertion or not in the market modifies the association between the quality of the diet and education level. METHODS This is a cross-sectional population-based study that has used data from the Campinas Health Survey (2008 ISACamp). We have evaluated the diet of 464 women, aged 18 to 64 years, using the Brazilian Healthy Eating Index – Revised. We have estimated the means of the total score and index components using simple and multiple linear regression. RESULTS We have observed no difference in the quality of diet of working and stay-at-home women. The analysis stratified by education level showed a lower intake of fruits among stay-at-home women in the segment of lower education level, in relation to working women. Among all women, a lower education level was associated with lower overall quality of the diet, higher intake of sodium, and lower intake of fruits, vegetables, whole grains, milk, and saturated fat. On the other hand, the inclusion in the labor market changed the effect of the education level on the quality of the diet. In the stay-at-home stratum, a low education level was associated with poorer quality of the diet and lower consumption of fruits, dark green and orange vegetables, and whole grains. Among the working women, a low education level was associated with higher intake of sodium and lower intake of vegetables, whole grains, and milk and dairy products. CONCLUSIONS The results show inequities in the profile of food in relation to education level and inclusion in the labor market, which shows the relevance of public policies that increase the access to education and provide guidance on a healthy diet.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Women</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Women, Working</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Healthy Diet</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Socioeconomic Factors</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Health Inequalities</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Diet Surveys</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Public aspects of medicine</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Caroline Senicato</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Regina Mara Fisberg</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Ana Maria Canesqui</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Marilisa Berti de Azevedo Barros</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Revista de Saúde Pública</subfield><subfield code="d">Universidade de São Paulo, 2004</subfield><subfield code="g">52(2018), 0</subfield><subfield code="w">(DE-627)324824793</subfield><subfield code="w">(DE-600)2031055-9</subfield><subfield code="x">15188787</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:52</subfield><subfield code="g">year:2018</subfield><subfield code="g">number:0</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.11606/s1518-8787.2018052000104</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/cc51e409435f4b208dc356361843f939</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0034-89102018000100237&lng=en&tlng=en</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/1518-8787</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">52</subfield><subfield code="j">2018</subfield><subfield code="e">0</subfield></datafield></record></collection>
|
callnumber-first |
R - Medicine |
author |
Daniela de Assumpção |
spellingShingle |
Daniela de Assumpção misc RA1-1270 misc Women misc Women, Working misc Healthy Diet misc Socioeconomic Factors misc Health Inequalities misc Diet Surveys misc Public aspects of medicine Are there differences in the quality of the diet of working and stay-at-home women? |
authorStr |
Daniela de Assumpção |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)324824793 |
format |
electronic Article |
delete_txt_mv |
keep |
author_role |
aut aut aut aut aut |
collection |
DOAJ |
remote_str |
true |
callnumber-label |
RA1-1270 |
illustrated |
Not Illustrated |
issn |
15188787 |
topic_title |
RA1-1270 Are there differences in the quality of the diet of working and stay-at-home women? Women Women, Working Healthy Diet Socioeconomic Factors Health Inequalities Diet Surveys |
topic |
misc RA1-1270 misc Women misc Women, Working misc Healthy Diet misc Socioeconomic Factors misc Health Inequalities misc Diet Surveys misc Public aspects of medicine |
topic_unstemmed |
misc RA1-1270 misc Women misc Women, Working misc Healthy Diet misc Socioeconomic Factors misc Health Inequalities misc Diet Surveys misc Public aspects of medicine |
topic_browse |
misc RA1-1270 misc Women misc Women, Working misc Healthy Diet misc Socioeconomic Factors misc Health Inequalities misc Diet Surveys misc Public aspects of medicine |
format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
cr |
hierarchy_parent_title |
Revista de Saúde Pública |
hierarchy_parent_id |
324824793 |
hierarchy_top_title |
Revista de Saúde Pública |
isfreeaccess_txt |
true |
familylinks_str_mv |
(DE-627)324824793 (DE-600)2031055-9 |
title |
Are there differences in the quality of the diet of working and stay-at-home women? |
ctrlnum |
(DE-627)DOAJ055424627 (DE-599)DOAJcc51e409435f4b208dc356361843f939 |
title_full |
Are there differences in the quality of the diet of working and stay-at-home women? |
author_sort |
Daniela de Assumpção |
journal |
Revista de Saúde Pública |
journalStr |
Revista de Saúde Pública |
callnumber-first-code |
R |
lang_code |
eng spa por |
isOA_bool |
true |
recordtype |
marc |
publishDateSort |
2018 |
contenttype_str_mv |
txt |
author_browse |
Daniela de Assumpção Caroline Senicato Regina Mara Fisberg Ana Maria Canesqui Marilisa Berti de Azevedo Barros |
container_volume |
52 |
class |
RA1-1270 |
format_se |
Elektronische Aufsätze |
author-letter |
Daniela de Assumpção |
doi_str_mv |
10.11606/s1518-8787.2018052000104 |
author2-role |
verfasserin |
title_sort |
are there differences in the quality of the diet of working and stay-at-home women? |
callnumber |
RA1-1270 |
title_auth |
Are there differences in the quality of the diet of working and stay-at-home women? |
abstract |
ABSTRACT OBJECTIVE To verify whether there is an association between the quality of the diet and the inclusion of women in the labor market and whether the education level would modify this association. We have analyzed the differences according to education level and evaluated whether the insertion or not in the market modifies the association between the quality of the diet and education level. METHODS This is a cross-sectional population-based study that has used data from the Campinas Health Survey (2008 ISACamp). We have evaluated the diet of 464 women, aged 18 to 64 years, using the Brazilian Healthy Eating Index – Revised. We have estimated the means of the total score and index components using simple and multiple linear regression. RESULTS We have observed no difference in the quality of diet of working and stay-at-home women. The analysis stratified by education level showed a lower intake of fruits among stay-at-home women in the segment of lower education level, in relation to working women. Among all women, a lower education level was associated with lower overall quality of the diet, higher intake of sodium, and lower intake of fruits, vegetables, whole grains, milk, and saturated fat. On the other hand, the inclusion in the labor market changed the effect of the education level on the quality of the diet. In the stay-at-home stratum, a low education level was associated with poorer quality of the diet and lower consumption of fruits, dark green and orange vegetables, and whole grains. Among the working women, a low education level was associated with higher intake of sodium and lower intake of vegetables, whole grains, and milk and dairy products. CONCLUSIONS The results show inequities in the profile of food in relation to education level and inclusion in the labor market, which shows the relevance of public policies that increase the access to education and provide guidance on a healthy diet. |
abstractGer |
ABSTRACT OBJECTIVE To verify whether there is an association between the quality of the diet and the inclusion of women in the labor market and whether the education level would modify this association. We have analyzed the differences according to education level and evaluated whether the insertion or not in the market modifies the association between the quality of the diet and education level. METHODS This is a cross-sectional population-based study that has used data from the Campinas Health Survey (2008 ISACamp). We have evaluated the diet of 464 women, aged 18 to 64 years, using the Brazilian Healthy Eating Index – Revised. We have estimated the means of the total score and index components using simple and multiple linear regression. RESULTS We have observed no difference in the quality of diet of working and stay-at-home women. The analysis stratified by education level showed a lower intake of fruits among stay-at-home women in the segment of lower education level, in relation to working women. Among all women, a lower education level was associated with lower overall quality of the diet, higher intake of sodium, and lower intake of fruits, vegetables, whole grains, milk, and saturated fat. On the other hand, the inclusion in the labor market changed the effect of the education level on the quality of the diet. In the stay-at-home stratum, a low education level was associated with poorer quality of the diet and lower consumption of fruits, dark green and orange vegetables, and whole grains. Among the working women, a low education level was associated with higher intake of sodium and lower intake of vegetables, whole grains, and milk and dairy products. CONCLUSIONS The results show inequities in the profile of food in relation to education level and inclusion in the labor market, which shows the relevance of public policies that increase the access to education and provide guidance on a healthy diet. |
abstract_unstemmed |
ABSTRACT OBJECTIVE To verify whether there is an association between the quality of the diet and the inclusion of women in the labor market and whether the education level would modify this association. We have analyzed the differences according to education level and evaluated whether the insertion or not in the market modifies the association between the quality of the diet and education level. METHODS This is a cross-sectional population-based study that has used data from the Campinas Health Survey (2008 ISACamp). We have evaluated the diet of 464 women, aged 18 to 64 years, using the Brazilian Healthy Eating Index – Revised. We have estimated the means of the total score and index components using simple and multiple linear regression. RESULTS We have observed no difference in the quality of diet of working and stay-at-home women. The analysis stratified by education level showed a lower intake of fruits among stay-at-home women in the segment of lower education level, in relation to working women. Among all women, a lower education level was associated with lower overall quality of the diet, higher intake of sodium, and lower intake of fruits, vegetables, whole grains, milk, and saturated fat. On the other hand, the inclusion in the labor market changed the effect of the education level on the quality of the diet. In the stay-at-home stratum, a low education level was associated with poorer quality of the diet and lower consumption of fruits, dark green and orange vegetables, and whole grains. Among the working women, a low education level was associated with higher intake of sodium and lower intake of vegetables, whole grains, and milk and dairy products. CONCLUSIONS The results show inequities in the profile of food in relation to education level and inclusion in the labor market, which shows the relevance of public policies that increase the access to education and provide guidance on a healthy diet. |
collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 |
container_issue |
0 |
title_short |
Are there differences in the quality of the diet of working and stay-at-home women? |
url |
https://doi.org/10.11606/s1518-8787.2018052000104 https://doaj.org/article/cc51e409435f4b208dc356361843f939 http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0034-89102018000100237&lng=en&tlng=en https://doaj.org/toc/1518-8787 |
remote_bool |
true |
author2 |
Caroline Senicato Regina Mara Fisberg Ana Maria Canesqui Marilisa Berti de Azevedo Barros |
author2Str |
Caroline Senicato Regina Mara Fisberg Ana Maria Canesqui Marilisa Berti de Azevedo Barros |
ppnlink |
324824793 |
callnumber-subject |
RA - Public Medicine |
mediatype_str_mv |
c |
isOA_txt |
true |
hochschulschrift_bool |
false |
doi_str |
10.11606/s1518-8787.2018052000104 |
callnumber-a |
RA1-1270 |
up_date |
2024-07-03T14:53:27.105Z |
_version_ |
1803570021251678208 |
fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ055424627</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230308191150.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230227s2018 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.11606/s1518-8787.2018052000104</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ055424627</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJcc51e409435f4b208dc356361843f939</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield><subfield code="a">spa</subfield><subfield code="a">por</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">RA1-1270</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Daniela de Assumpção</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Are there differences in the quality of the diet of working and stay-at-home women?</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2018</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">ABSTRACT OBJECTIVE To verify whether there is an association between the quality of the diet and the inclusion of women in the labor market and whether the education level would modify this association. We have analyzed the differences according to education level and evaluated whether the insertion or not in the market modifies the association between the quality of the diet and education level. METHODS This is a cross-sectional population-based study that has used data from the Campinas Health Survey (2008 ISACamp). We have evaluated the diet of 464 women, aged 18 to 64 years, using the Brazilian Healthy Eating Index – Revised. We have estimated the means of the total score and index components using simple and multiple linear regression. RESULTS We have observed no difference in the quality of diet of working and stay-at-home women. The analysis stratified by education level showed a lower intake of fruits among stay-at-home women in the segment of lower education level, in relation to working women. Among all women, a lower education level was associated with lower overall quality of the diet, higher intake of sodium, and lower intake of fruits, vegetables, whole grains, milk, and saturated fat. On the other hand, the inclusion in the labor market changed the effect of the education level on the quality of the diet. In the stay-at-home stratum, a low education level was associated with poorer quality of the diet and lower consumption of fruits, dark green and orange vegetables, and whole grains. Among the working women, a low education level was associated with higher intake of sodium and lower intake of vegetables, whole grains, and milk and dairy products. CONCLUSIONS The results show inequities in the profile of food in relation to education level and inclusion in the labor market, which shows the relevance of public policies that increase the access to education and provide guidance on a healthy diet.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Women</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Women, Working</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Healthy Diet</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Socioeconomic Factors</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Health Inequalities</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Diet Surveys</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Public aspects of medicine</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Caroline Senicato</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Regina Mara Fisberg</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Ana Maria Canesqui</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Marilisa Berti de Azevedo Barros</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Revista de Saúde Pública</subfield><subfield code="d">Universidade de São Paulo, 2004</subfield><subfield code="g">52(2018), 0</subfield><subfield code="w">(DE-627)324824793</subfield><subfield code="w">(DE-600)2031055-9</subfield><subfield code="x">15188787</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:52</subfield><subfield code="g">year:2018</subfield><subfield code="g">number:0</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.11606/s1518-8787.2018052000104</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/cc51e409435f4b208dc356361843f939</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0034-89102018000100237&lng=en&tlng=en</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/1518-8787</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">52</subfield><subfield code="j">2018</subfield><subfield code="e">0</subfield></datafield></record></collection>
|
score |
7.400174 |