Validation of obesity based on self-reported data in Spanish women participants in breast cancer screening programmes
<p>Abstract</p> <p>Background</p> <p>Measurement of obesity using self-reported anthropometric data usually involves underestimation of weight and/or overestimation of height. The dual aim of this study was, first, to ascertain and assess the validity of new cut-off poi...
| Main Authors: | , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2011-12-01
|
| Series: | BMC Public Health |
| Online Access: | http://www.biomedcentral.com/1471-2458/11/960 |
| _version_ | 1818641340126199808 |
|---|---|
| author | Isidoro Beatriz Lope Virginia Pedraz-Pingarrón Carmen Collado-García Francisca Santamariña Carmen Moreo Pilar Vidal Carmen Laso María Soledad García-Lopez Milagros Pollán Marina |
| author_facet | Isidoro Beatriz Lope Virginia Pedraz-Pingarrón Carmen Collado-García Francisca Santamariña Carmen Moreo Pilar Vidal Carmen Laso María Soledad García-Lopez Milagros Pollán Marina |
| author_sort | Isidoro Beatriz |
| collection | DOAJ |
| description | <p>Abstract</p> <p>Background</p> <p>Measurement of obesity using self-reported anthropometric data usually involves underestimation of weight and/or overestimation of height. The dual aim of this study was, first, to ascertain and assess the validity of new cut-off points, for both overweight and obesity, using self-reported Body Mass Index furnished by women participants in breast cancer screening programmes, and second, to estimate and validate a predictive model that allows recalculate individual BMI based on self-reported data.</p> <p>Methods</p> <p>The study covered 2927 women enrolled at 7 breast cancer screening centres. At each centre, women were randomly selected in 2 samples, in a ratio of 2:1. The larger sample (n = 1951) was used to compare the values of measured and self-reported weight and height, to ascertain new overweight and obesity cut-off points with self-reported data, using ROC curves, and to estimate a predictive model of real BMI using a regression model. The second sample (n = 976) was used to validate the proposed cut-off points and the predictive model.</p> <p>Results</p> <p>Whereas reported prevalence of obesity was 19.8%, measured prevalence was 28.2%. The sensitivity and specificity of this classification would be maximised if the new cut-off points were 24.30 kg/m2 for overweight and 28.39 kg/m2 for obesity. The probability of classifying women correctly in their real weight categories on the basis of these points was 82.5% in the validation sample. Sensitivity and specificity for determining obesity using the new cut-off point in the validation sample were 90.0% and 92.3% respectively. The predictive model for real BMI included the self-reported BMI, age and educational level (university studies vs lower levels of education). This model succeeded in correctly classifying 90.5% of women according to BMI categories, but its performance was similar to that obtained with the new cut-off points.</p> <p>Conclusions</p> <p>Quantification of self-reported obesity entails a considerable underestimation of this problem, thereby questioning its validity. The new cut-off points established in this study and the predictive equation both allow for more accurate estimation of these prevalences.</p> |
| first_indexed | 2024-12-16T23:25:36Z |
| format | Article |
| id | doaj.art-c09fa38933e34b8fb0420c070d3a5494 |
| institution | Directory Open Access Journal |
| issn | 1471-2458 |
| language | English |
| last_indexed | 2024-12-16T23:25:36Z |
| publishDate | 2011-12-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Public Health |
| spelling | doaj.art-c09fa38933e34b8fb0420c070d3a54942022-12-21T22:12:01ZengBMCBMC Public Health1471-24582011-12-0111196010.1186/1471-2458-11-960Validation of obesity based on self-reported data in Spanish women participants in breast cancer screening programmesIsidoro BeatrizLope VirginiaPedraz-Pingarrón CarmenCollado-García FranciscaSantamariña CarmenMoreo PilarVidal CarmenLaso María SoledadGarcía-Lopez MilagrosPollán Marina<p>Abstract</p> <p>Background</p> <p>Measurement of obesity using self-reported anthropometric data usually involves underestimation of weight and/or overestimation of height. The dual aim of this study was, first, to ascertain and assess the validity of new cut-off points, for both overweight and obesity, using self-reported Body Mass Index furnished by women participants in breast cancer screening programmes, and second, to estimate and validate a predictive model that allows recalculate individual BMI based on self-reported data.</p> <p>Methods</p> <p>The study covered 2927 women enrolled at 7 breast cancer screening centres. At each centre, women were randomly selected in 2 samples, in a ratio of 2:1. The larger sample (n = 1951) was used to compare the values of measured and self-reported weight and height, to ascertain new overweight and obesity cut-off points with self-reported data, using ROC curves, and to estimate a predictive model of real BMI using a regression model. The second sample (n = 976) was used to validate the proposed cut-off points and the predictive model.</p> <p>Results</p> <p>Whereas reported prevalence of obesity was 19.8%, measured prevalence was 28.2%. The sensitivity and specificity of this classification would be maximised if the new cut-off points were 24.30 kg/m2 for overweight and 28.39 kg/m2 for obesity. The probability of classifying women correctly in their real weight categories on the basis of these points was 82.5% in the validation sample. Sensitivity and specificity for determining obesity using the new cut-off point in the validation sample were 90.0% and 92.3% respectively. The predictive model for real BMI included the self-reported BMI, age and educational level (university studies vs lower levels of education). This model succeeded in correctly classifying 90.5% of women according to BMI categories, but its performance was similar to that obtained with the new cut-off points.</p> <p>Conclusions</p> <p>Quantification of self-reported obesity entails a considerable underestimation of this problem, thereby questioning its validity. The new cut-off points established in this study and the predictive equation both allow for more accurate estimation of these prevalences.</p>http://www.biomedcentral.com/1471-2458/11/960 |
| spellingShingle | Isidoro Beatriz Lope Virginia Pedraz-Pingarrón Carmen Collado-García Francisca Santamariña Carmen Moreo Pilar Vidal Carmen Laso María Soledad García-Lopez Milagros Pollán Marina Validation of obesity based on self-reported data in Spanish women participants in breast cancer screening programmes BMC Public Health |
| title | Validation of obesity based on self-reported data in Spanish women participants in breast cancer screening programmes |
| title_full | Validation of obesity based on self-reported data in Spanish women participants in breast cancer screening programmes |
| title_fullStr | Validation of obesity based on self-reported data in Spanish women participants in breast cancer screening programmes |
| title_full_unstemmed | Validation of obesity based on self-reported data in Spanish women participants in breast cancer screening programmes |
| title_short | Validation of obesity based on self-reported data in Spanish women participants in breast cancer screening programmes |
| title_sort | validation of obesity based on self reported data in spanish women participants in breast cancer screening programmes |
| url | http://www.biomedcentral.com/1471-2458/11/960 |
| work_keys_str_mv | AT isidorobeatriz validationofobesitybasedonselfreporteddatainspanishwomenparticipantsinbreastcancerscreeningprogrammes AT lopevirginia validationofobesitybasedonselfreporteddatainspanishwomenparticipantsinbreastcancerscreeningprogrammes AT pedrazpingarroncarmen validationofobesitybasedonselfreporteddatainspanishwomenparticipantsinbreastcancerscreeningprogrammes AT colladogarciafrancisca validationofobesitybasedonselfreporteddatainspanishwomenparticipantsinbreastcancerscreeningprogrammes AT santamarinacarmen validationofobesitybasedonselfreporteddatainspanishwomenparticipantsinbreastcancerscreeningprogrammes AT moreopilar validationofobesitybasedonselfreporteddatainspanishwomenparticipantsinbreastcancerscreeningprogrammes AT vidalcarmen validationofobesitybasedonselfreporteddatainspanishwomenparticipantsinbreastcancerscreeningprogrammes AT lasomariasoledad validationofobesitybasedonselfreporteddatainspanishwomenparticipantsinbreastcancerscreeningprogrammes AT garcialopezmilagros validationofobesitybasedonselfreporteddatainspanishwomenparticipantsinbreastcancerscreeningprogrammes AT pollanmarina validationofobesitybasedonselfreporteddatainspanishwomenparticipantsinbreastcancerscreeningprogrammes |