| 000 | 01562 a2200457 4500 | ||
|---|---|---|---|
| 005 | 20250517201646.0 | ||
| 264 | 0 | _c20180823 | |
| 008 | 201808s 0 0 eng d | ||
| 022 | _a2044-6055 | ||
| 024 | 7 |
_a10.1136/bmjopen-2017-018885 _2doi |
|
| 040 |
_aNLM _beng _cNLM |
||
| 100 | 1 | _aChandola, Tarani | |
| 245 | 0 | 0 |
_aIs socioeconomic segregation of the poor associated with higher premature mortality under the age of 60? A cross-sectional analysis of survey data in major Indian cities. _h[electronic resource] |
| 260 |
_bBMJ open _c02 2018 |
||
| 300 |
_ae018885 p. _bdigital |
||
| 500 | _aPublication Type: Journal Article; Research Support, Non-U.S. Gov't | ||
| 650 | 0 | 4 | _aAdult |
| 650 | 0 | 4 | _aCities |
| 650 | 0 | 4 | _aCross-Sectional Studies |
| 650 | 0 | 4 | _aDeveloping Countries |
| 650 | 0 | 4 | _aFemale |
| 650 | 0 | 4 | _aHumans |
| 650 | 0 | 4 | _aIndia |
| 650 | 0 | 4 | _aMale |
| 650 | 0 | 4 | _aMiddle Aged |
| 650 | 0 | 4 |
_aMortality, Premature _xtrends |
| 650 | 0 | 4 | _aPoverty Areas |
| 650 | 0 | 4 | _aRegression Analysis |
| 650 | 0 | 4 |
_aResidence Characteristics _xstatistics & numerical data |
| 650 | 0 | 4 | _aSocial Segregation |
| 650 | 0 | 4 | _aSocioeconomic Factors |
| 650 | 0 | 4 | _aSurveys and Questionnaires |
| 650 | 0 | 4 | _aUrban Health |
| 700 | 1 | _aMikkilineni, Sitamma | |
| 700 | 1 | _aChandran, Anil | |
| 700 | 1 | _aBandyopadhyay, Souvik Kumar | |
| 700 | 1 | _aZhang, Nan | |
| 700 | 1 | _aBassanesi, Sergio Luiz | |
| 773 | 0 |
_tBMJ open _gvol. 8 _gno. 2 _gp. e018885 |
|
| 856 | 4 | 0 |
_uhttps://doi.org/10.1136/bmjopen-2017-018885 _zAvailable from publisher's website |
| 999 |
_c28082608 _d28082608 |
||