Chinese Longitudinal Healthy Longevity Survey (CLHLS), 1998-2014 (ICPSR 36692)

Version Date: Apr 11, 2017

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Principal Investigator(s):
Yi Zeng, Duke University, and Peking University; James Vaupel, Max Planck Institutes, and Duke University; Zhenyu Xiao, China National Research Center on Aging; Yuzhi Liu, Peking University; Chunyuan Zhang, Peking University

Series:

https://doi.org/10.3886/ICPSR36692.v1

Version V1

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Alternate Title

CLHLS

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 22 provinces of China in the period 1998 to 2014. 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 centenarian and nonagenarian; the CLHLS provides information on the health, socioeconomic characteristics, family, lifestyle, and demographic profile of this aged population. Data are provided on respondents' health conditions, daily functioning, self-perceptions of health status and quality of life, life satisfaction, mental attitude, and feelings about aging.

Respondents were asked about their diet and nutrition, use of medical services, and drinking and smoking habits, including how long ago they quit either or both. They were also asked about their physical activities, reading habits, television viewing, and religious activities, and were tested for motor skills, memory, and visual functioning. In order to ascertain their current state of health, respondents were asked if they suffered from such health conditions as hypertension, diabetes, heart disease, stroke, cancer, emphysema, asthma, tuberculosis, cataracts, glaucoma, gastric or duodenal ulcer, arthritis, Parkinson's disease, bedsores, or other chronic diseases. Respondents were further queried about assistance with bathing, dressing, toileting, or feeding, and who provided help in times of illness. Other questions focused on siblings, parents, and children, the frequency of family visits, and the distance lived from each other. Demographic and background variables include age, sex, ethnicity, place of birth, marital history and status, history of childbirth, living arrangements, education, main occupation before age 60, and sources of financial support.

Citation

Zeng, Yi, Vaupel, James, Xiao, Zhenyu, Liu, Yuzhi, and Zhang, Chunyuan. Chinese Longitudinal Healthy Longevity Survey (CLHLS), 1998-2014. Inter-university Consortium for Political and Social Research [distributor], 2017-04-11. https://doi.org/10.3886/ICPSR36692.v1

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Funding

National Natural Science Foundation of China (71233001), United States Department of Health and Human Services. National Institutes of Health. National Institute on Aging (R01 AG023627), National Basic Research Program of China (2013CB530700)

Subject Terms

Geographic Coverage

Smallest Geographic Unit

province

Distributor(s)

Inter-university Consortium for Political and Social Research
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Time Period(s)

1998 -- 2014

Date of Collection

1998-01-15 -- 2014-11-30

Data Collection Notes

  1. Additional information about the Chinese Longitudinal Healthy Longevity Survey as well as study design can be found at the Center for the Study of Aging and Human Development Web site.

  2. ICPSR removed variables throughout this collection to protect respondent anonymity. For further information see the ICPSR Variable Descriptions and Frequencies documents.

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Sample

All centenarians from the randomly selected counties and cities of 22 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

Longitudinal, Cross-sectional

Universe

The most elderly population in the counties and cities of 22 provinces in China during the period 1998-2014. Additionally, for the time period of 2002-2014, the younger elderly population of the same provinces were interviewed.

Unit(s) of Observation

Individual

Data Type(s)

Mode of Data Collection

Response Rates

The response rate was 97.7 percent

Presence of Common Scales

The following scales were used in this collection: Mini-Mental State Examination (MMSE), Activities of Daily Living (ADL), and Instrumental Activitiesof Daily Living (IADL), etc.

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Original Release Date

2017-04-11

Version History

2018-02-15 The citation of this study may have changed due to the new version control system that has been implemented. The previous citation was:
  • Zeng, Yi, James Vaupel, Zhenyu Xiao, Yuzhi Liu, and Chunyuan Zhang. Chinese Longitudinal Healthy Longevity Survey (CLHLS), 1998-2014. ICPSR36692-v1. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2017-04-11. http://doi.org/10.3886/ICPSR36692.v1

2017-04-11 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:

  • Created variable labels and/or value labels.
  • Performed recodes and/or calculated derived variables.
  • Checked for undocumented or out-of-range codes.
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Weight

The data are not weighted. 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) and W_2014 (Dataset 7). The weight is estimated based on the estimated numbers of elderly persons by age, sex, and rural/urban residence in 2014 derived from the 6th census conducted in 2010 for the 22 provinces of China where the 2014 follow-up survey was conducted. The total number of the weighted individual cases of the survey is equal to the total sample size.

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Notes

  • The public-use data files in this collection are available for access by the general public. Access does not require affiliation with an ICPSR member institution.