A multilevel analysis of the role of the family and the state in self-rated health of elderly Chinese

Zhixin Feng; Wenfei Winnie Wang; Kelvyn Jones

doi:10.1016/j.healthplace.2013.07.001

A multilevel analysis of the role of the family and the state in self-rated health of elderly Chinese

Zhixin Feng^*, Wenfei Winnie Wang, Kelvyn Jones

^*Corresponding author for this work

Research output: Contribution to journal › Article (Academic Journal) › peer-review

22 Citations (Scopus)

Abstract

This study examines the geographical variations of self-rated health of the elderly based on the 2008 Chinese Longitudinal Healthy Longevity Survey. Multilevel logistic models are employed to estimate how individual, family, and institutional factors affect the health of the elderly at both individual and province levels. Results show that while individual characteristics help to explain self-rated health, the family remains an important determinant. Those with nobody to care for them, those in poverty and those who have to rely on medical insurance report the worst health. The role of the state is relatively limited in contributing to the health of the elderly. There are substantial between province differences. Crown Copyright (C) 2013 Published by Elsevier Ltd. All rights reserved.

Original language	English
Pages (from-to)	148-156
Number of pages	9
Journal	Health and Place
Volume	23
Early online date	17 Jul 2013
DOIs	https://doi.org/10.1016/j.healthplace.2013.07.001
Publication status	Published - Sept 2013

Keywords

China
Health
Family
Social security
Multilevel modeling
OLDEST-OLD
DEPRIVATION
GEOGRAPHY
MODELS
ADULTS
URBAN
AGE

Access to Document

10.1016/j.healthplace.2013.07.001

http://www.sciencedirect.com/science/article/pii/S1353829213000889

Handle.net

Persistent link

Cite this

@article{4924277f71494b9682c2ee4ecc5b268c,

title = "A multilevel analysis of the role of the family and the state in self-rated health of elderly Chinese",

abstract = "This study examines the geographical variations of self-rated health of the elderly based on the 2008 Chinese Longitudinal Healthy Longevity Survey. Multilevel logistic models are employed to estimate how individual, family, and institutional factors affect the health of the elderly at both individual and province levels. Results show that while individual characteristics help to explain self-rated health, the family remains an important determinant. Those with nobody to care for them, those in poverty and those who have to rely on medical insurance report the worst health. The role of the state is relatively limited in contributing to the health of the elderly. There are substantial between province differences. Crown Copyright (C) 2013 Published by Elsevier Ltd. All rights reserved.",

keywords = "China, Health, Family, Social security, Multilevel modeling, OLDEST-OLD, DEPRIVATION, GEOGRAPHY, MODELS, ADULTS, URBAN, AGE",

author = "Zhixin Feng and Wang, {Wenfei Winnie} and Kelvyn Jones",

year = "2013",

month = sep,

doi = "10.1016/j.healthplace.2013.07.001",

language = "English",

volume = "23",

pages = "148--156",

journal = "Health and Place",

issn = "1353-8292",

publisher = "Elsevier",

}

TY - JOUR

T1 - A multilevel analysis of the role of the family and the state in self-rated health of elderly Chinese

AU - Feng, Zhixin

AU - Wang, Wenfei Winnie

AU - Jones, Kelvyn

PY - 2013/9

Y1 - 2013/9

N2 - This study examines the geographical variations of self-rated health of the elderly based on the 2008 Chinese Longitudinal Healthy Longevity Survey. Multilevel logistic models are employed to estimate how individual, family, and institutional factors affect the health of the elderly at both individual and province levels. Results show that while individual characteristics help to explain self-rated health, the family remains an important determinant. Those with nobody to care for them, those in poverty and those who have to rely on medical insurance report the worst health. The role of the state is relatively limited in contributing to the health of the elderly. There are substantial between province differences. Crown Copyright (C) 2013 Published by Elsevier Ltd. All rights reserved.

AB - This study examines the geographical variations of self-rated health of the elderly based on the 2008 Chinese Longitudinal Healthy Longevity Survey. Multilevel logistic models are employed to estimate how individual, family, and institutional factors affect the health of the elderly at both individual and province levels. Results show that while individual characteristics help to explain self-rated health, the family remains an important determinant. Those with nobody to care for them, those in poverty and those who have to rely on medical insurance report the worst health. The role of the state is relatively limited in contributing to the health of the elderly. There are substantial between province differences. Crown Copyright (C) 2013 Published by Elsevier Ltd. All rights reserved.

KW - China

KW - Health

KW - Family

KW - Social security

KW - Multilevel modeling

KW - OLDEST-OLD

KW - DEPRIVATION

KW - GEOGRAPHY

KW - MODELS

KW - ADULTS

KW - URBAN

KW - AGE

U2 - 10.1016/j.healthplace.2013.07.001

DO - 10.1016/j.healthplace.2013.07.001

M3 - Article (Academic Journal)

C2 - 23906587

SN - 1353-8292

VL - 23

SP - 148

EP - 156

JO - Health and Place

JF - Health and Place

ER -

A multilevel analysis of the role of the family and the state in self-rated health of elderly Chinese

Abstract

Keywords

Access to Document

Handle.net

Fingerprint

Cite this