Chinese Longitudinal Healthy Longevity Survey (CLHLS), [China], 1998-2018 (ICPSR 38899)
Version Date: May 16, 2024 View help for published
Principal Investigator(s): View help for Principal Investigator(s)
Yi Zeng, Peking University. Center for Healthy Aging and Development Studies, Duke University. Center for Study of Aging at Human Development;
Xiaoming Shi, China Center for Diseases Control and Prevention;
Zhenzhen Zheng, Peking University. Center for Healthy Aging and Development Studies;
Xiaoyan Lei, Peking University. Center for Healthy Aging and Development Studies
Series:
https://doi.org/10.3886/ICPSR38899.v1
Version V1
These data are unavailable indefinitely from ICPSR.
Alternate Title View help for Alternate Title
Summary View help for Summary
The Chinese Longitudinal Healthy Longevity Survey (CLHLS) provides information on health status and quality of life of the elderly aged 65 and older in 23 provinces of China from 1998 to 2018. The study was conducted to shed light on the determinants of healthy human longevity and oldest-old mortality. To this end, data were collected on a large percent of the oldest population, including centenarians and nonagenarians; the CLHLS provides information on the health, socioeconomic characteristics, family, lifestyle, and demographic profile of this aged population.
The questionnaire data collected provides information on family structure, living arrangements and proximity to children, activities of daily living (ADL), the capacity of physical performance (picking up a book from the floor; standing up from a chair; turning 360 degrees without help), self-rated health, self-evaluation of life satisfaction, cognitive functioning, chronic disease prevalence, care needs and costs, social activities, diet, smoking and drinking behaviors, psychological characteristics, economic resources, and care giving and family support among elderly respondents and their relatives. Information about the health status of the CLHLS participants who were interviewed in the previous wave but died before the current survey was collected by interviewing a close family member, and includes information such as cause of death, chronic diseases, ADL before dying, frequency of hospitalization or instances of being bedridden from the last interview until death, whether bedridden before death, length of disability and suffering before death.
For the participants from the in-depth study sites of the 8 longevity areas, in addition to the questionnaire interview data, the CLHLS conducted lab tests of the biomarkers using blood/urine samples collected from the voluntary participants as well.
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Subject Terms View help for Subject Terms
Geographic Coverage View help for Geographic Coverage
Smallest Geographic Unit View help for Smallest Geographic Unit
province
Distributor(s) View help for Distributor(s)
Time Period(s) View help for Time Period(s)
Data Collection Notes View help for Data Collection Notes
- Additional information about the Chinese Longitudinal Healthy Longevity Survey as well as study design can be found at the Duke Aging Center Web site.
Study Purpose View help for Study Purpose
General goals of the Chinese Longitudinal Healthy Longevity Study (CLHLS) are to discover the social, behavioral, environmental, and genetic factors and their interactions that may influence healthy longevity, as well as to provide data for academic research, and information for health and healthy aging policy analysis.
Study Design View help for Study Design
The CLHLS baseline survey was conducted in 1998, and the follow-up surveys with replacements for deceased elders were conducted in 2000, 2002, 2005, 2008-2009, 2011-2012, 2014, and 2017-2018 in a randomly selected half of the total number of counties and cities in 23 provinces in China. The survey areas covered 985 million persons in the baseline year 1998 and 1.156 billion persons in the census year 2010, about 84-85 percent of the total population of China. An enumerator and a nurse or a medical school student conducted the interview and performed a basic health examination at each interviewee's home.
The CLHLS attempted to interview all centenarians who voluntarily agreed to participate in the study in the randomly selected half of the counties and cities of the 23 provinces. For each centenarian, one near-by octogenarian (aged 80-89), one near-by nonagenarian (aged 90-99) and 1.5 younger-old aged 65-79, of pre-designated age and sex was interviewed. "Near-by" is loosely defined - it could be in the same village or street if available, or in the same town or in the same sampled county or city. The predefined age and sex, used to identify the approximately equal numbers of male and female nonagenarians, octogenarians and younger-old aged 65-79, are randomly determined, based on the code numbers of the centenarians. The goal was to have comparable numbers of male and female octogenarians, nonagenarians and younger-old aged 65-79 at each age from 65 to 99.
Sample View help for Sample
All centenarians from the randomly selected counties and cities of 23 provinces in China who agreed to participate in the study. For each centenarian, one octogenarian aged 80-89 living nearby, one nearby nonagenarian aged 90-99, and one nearby younger elder aged 65-79 of predesignated age and sex were interviewed.
Time Method View help for Time Method
Universe View help for Universe
The most elderly population aged 80 and older in the counties and cities of 23 provinces in mainland China. From 2002 on, the CLHLS also includes those young elders aged 65-79 as comparisons.
Unit(s) of Observation View help for Unit(s) of Observation
Data Type(s) View help for Data Type(s)
Mode of Data Collection View help for Mode of Data Collection
Response Rates View help for Response Rates
98 percent
Presence of Common Scales View help for Presence of Common Scales
The following scales were used in this collection: Mini-Mental State Examination (MMSE), Activities of Daily Living (ADL), Instrumental Activities of Daily Living (IADL)
HideOriginal Release Date View help for Original Release Date
2024-05-16
Version History View help for Version History
2024-05-16 ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection:
- Checked for undocumented or out-of-range codes.
Weight View help for Weight
This collection contains the following weights which should be used in any analysis: W_1998 (Dataset 1), W_2000 (Dataset 2), W_2002 (Dataset 3), W_2005 (Dataset 4), W_2008 (Dataset 5), W_2011 (Dataset 6), W_2014 (Dataset 7), and W_2018 (Dataset 8). For more information on weighting, please see the documentation.
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