Life Expectancy Analysis
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Life XXXXXXXXXX Analysis
Perhaps, XXXX XXX research study, XXX social XXXXXXX I XXX X portray XXX XXXXXXXXXX in XXXXX status. The life expectancy XX XXXXX XX lower in XXXXXX class XX, XXXXXX XXX social XXXXX I, XXXXX has a higher life expectancy. XXXX XXXXXXXXX depicts that the social XXXXX I XX XXXXXX in status than XXXXXX XXXXX XX. The variation in XXXX XXXXXXXXXX XXX be XXX XX the difference in XXXXXXXX status. The social XXXXX X may XXX XX in a position XX meet the XXXXX health XXXX, XXXXXX class I, which can afford XXXXXX health standard. XXXXXXX health XXXX XXXXX to an XXXXXXXXX XXXXXXXXX XX the weak and also XXXXXXXX, and the XXXX XXXXX XX true (XXXXXXXX & XXXXX, 2019). Thus, we can XXXX XXX main XXXXXX for XXX XXXXXXXXX between XXXX expectancy in XXXXX I and V XX XXXXXXXXXX the standards of living of these two XXXXXXX. The department XX health XXX NHS XXXXXX XXXXXXXXX, provide XXXXXXXXXX XXXXXXXXXX XX everybody XXXXXXXXXX of XXXXX respective XXXXXX quo.
The children in XXXXXX class I XXX XXX much prone XX XXXXXXXXXX XXXXXX XXXX XXX children in social class X. Like we said XXXXXXX, XXX differences in XXX XXXXXX of these two classes XX the main XXXXXX for the variations we get when it XXXXX XX their XXXXXXXX XXXXXXX. XXX accidental XXXXX rate is XXXXXX in XXXXXX XXXXX V XXXXXXX you XXX find that the XXXXXXX in XXXX XXXXX XXX always in the XXX XXXXXXXXX XXX greener XXXXXXXX so that XXXX can afford XXX upkeep (XXXXXXXXXXX et al. 2019). On the XXXXX XXXX, XXXXXX XXXXX I has XXXX XXXXXXXXXX XXXXXX XXXXXXX XXX parents XXXX can XXXXXX XX XXXXXX XXXX their children XXX XXXX monitored XXX this can help XXXXXX XXX XXXXXXX that are XXXX XXXXX to the XXXXXXXX.
XXX social class XX and X to XXXX XX be XXXXX XXXXXXX in the society. The reason XX that the XXXXX XXXXX XX XXXX men XXX XXXXX XXX high in XXXXX XXX classes. The common causes XX XXXXX have XXXXXXXX in the XXXX of lives in these XXXXXX, and it's XXXXXXX XXXX this is because of XXX XXXX living conditions that XXXXX people are XXXXXX. To some XX them, XXXX affording the XXXX XXXXXX health care XXX XX a problem XXXXXXX you XXX find XXXX they XXX XXX in a XXXXXXXX XX meet their XXXXX basic XXXXX. Thus the death rate is higher to XXXX XXX and XXXXX because of meagre XXXXXXXXX XX living XXX also low XXXXXXXX status.
XXXXXXX, women in XXXXXX class I XXX much XXXXX to breast XXXXXX XXXX XXXXX in class X. Most of the cancer XXXXXXXX XXXXXXX do have a XXXX life where they led an impoverished XXXXXXXXX. XXXX XXXX to XXXX the foods XXXX XXX XXX healthy XX the body XXX finally the trouble XXXXXXX. XX can, XXXXXXXXX, tell XXXX XX XXXX XX XXX XXXXXX XXXXX V may be living under poor conditions, they are not much prone XX XXXX XXXXXXXX especially XXXXX XXXX come XXXXX due to poor XXXXXX XXXXXX. XXXXXXXXX, XXX XXXXXX XXXXX XXX women are in a position XX XXXXXX what they want, XXX thus they XXX XXX up leading an XXXXXXXXX XXXXXXXXX.
Ordinarily, XXX lower social class members XXX XXXXXXXXXXX XX XXX XXXXXX XXXXX XXXXX. XXXX XX XXXXXXX XX XXXX as the actions of XXXX XXXXXX XXXXX them XXXX XXXX group, the majority in XXXX class is out of their XXXX, and thus XXX aspect of lack is not by XXXXXX. When you XXXXXXXX this XXXXX, you find that XXXX cannot afford to XXX XXX health XXXXXX like their members in XXX higher class. The XXXXXXX XXXX can XXXX access XXX public XXXXXX XXXX XXXXX at XXXX point, XXXX kind XX XXXXXX care is not enough (XXXXXX XX XX. 2020). You find that XXX higher social class XXXXXXX XXXX XX XX XXX XXXXXXX care abroad. After all, they XXXX all the money XXXXXXXX. XXX will XXXXX XXXX XXXX in XXXX class XXXX they may XXXXXX from XXXXXXXXXXXX XXX this increases XXXXX risk XX falling XXXX XXX therefore, the XXXXXX-economic status have very want negative XXXXXXX XXXXX of XXXXXX XXXX their XXXXXXXXXXXX.
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XXXXXX, J. M., XXXXXXXXXXXXX, X., XXXXXXXXX, U., Kjærgaard, S., & Vaupel, X. W. (2020). Dynamics of XXXX XXXXXXXXXX XXX life span XXXXXXXX. Proceedings XX the National XXXXXXX XX Sciences, XXX(XX), 5250-5259.
Crimmins, E. X., &XXX; Zhang, Y. S. (2019). Aging XXXXXXXXXXX, mortality, and XXXX XXXXXXXXXX. Annual Review of Sociology, XX, XX-89.
XXXXXXXXXXX, X. F., von XXXXXXXXXX, N., Löppenberg, X., XXXXXX, X., Lipsitz, S. X., XXXX, X. X., ... &XXX; Trinh, X. X. (2019). Facility level XXXXXXXXX in rates XX XXXXXXXXXX XXXXXXX for low risk XXXXXXXX XXXXXX in XXX XXXX XXXXXXX XXXX XXXXXXXXXX: an XXXXXXXXXXX for value XXXXX XXXX redesign. XXX XXXXXXX XX urology, XXX(X), 728-734.