Data

It describes various surveys and data collection efforts over time in the Chitwan Valley, which are essential for understanding ADRD (Alzheimer’s Disease and Related Dementias) and population aging in Nepal.

Survey Name Year Age Group Sample Size (N) Response Rate
Individual Survey 1996 15-59 years 5,271 Ind. 97%
Elderly Health & Wellbeing Survey 2006 45+ years 2,147 Ind. 99%
Ideational Survey 2008 15-59 years 9,574 Ind. 95%
Health and Stress Survey 2016-2018 15-59 years 10,714 Ind. 93%
HH Consumption/Agriculture Survey 1996, 2001, 2006, 2015 18+ years 3,271 HH 98%
(NBH) History Calendar 1995, 2006, 2015 N/A 151 NBH 100%
(HLTHS) Health Service Calendar 1995, 2006, 2015 N/A 268 HLTHS 99%
HH Demographic Event Registry Monthly since 1997 N/A 3,331 HH 95%
Ind: Individual Survey; HH: Household Survey; NBH: Neighborhood Survey

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The following data is from a study examining the physical and mental health of adults aged 50 and older in Chitwan Valley.

Chitwan Valley Elderly Health and Well-Being Survey 2006 (N = 1,111)
Male Female Total
Number of functional limitations (0-8) 4.26 3.33 3.77
Self-rated health (% fair/poor health) 77% 82% 79%
Chitwan Valley Health and Stress Study 2016-2018 (N=1,331)
Condition Male Female Total
Life-time Major Depressive Disorder 10.0% 43.8% --
Life-time Generalized Anxiety Disorder 1.0% 23.3% --
Life-time Post-Traumatic Stress Disorder(PTSD) 1.2% 7.6% --
Life-time Alcohol Abuse Disorder(AUD) 12.0% 1.5% --
Ever experienced any potentially traumatic event 91.7% 85.3% --

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The Life History Calendar (LHC) method will be utilized to gather and update data on international labor migration among participants. This method uses visual "timing" cues based on respondents’ other personal life events, which improves recall and autobiographical memory. The LHC has been validated for use in elderly participants with low literacy, ensuring accurate collection of individual data on residential, educational, employment, marital, and mental health history.

    Key Statistics:
  • Percentage of CVFS Participants Reporting International Trips (2016-2018): 34%
  • Percentage of Adults Aged > 50 Reporting International Trips: 37%
  • International Trips Reported by Men: 53%
  • International Trips Reported by Women: 21%
  • Mean Number of Trips Among Participants Reporting at Least One Trip: 1.45
  • Mean Duration of International Trips: 7.67 years

Data on armed conflict events have been collected from the South Asia Terrorist Panel (SATP), major English and Nepali news media, and other NGOs in Nepal. The Institute for Social and Environmental Research-Nepal (ISER-N) has compiled and verified these events with data from Maoist and Government security forces, court records, and by physically visiting the conflict locations.

    The detailed data includes the occurrence, date, and location of armed conflict events during the civil war (1996-2006), covering: Arrests,Killings,Gunfire,Disappearances,Bombings,Beatings.

    ...
    Key Time Frame:
  • The most intense period of conflict was between 2001 and 2006.
  • The first year of significant conflict data is 2003, which will be used as a reference in longitudinal studies, as most participants will have been at least 29 years old by then, meaning they would have experienced these events during mid-adulthood.

For future studies, blood samples will be collected from 4,000 participants during face-to-face interviews. Details of the biomarker collection process include:

  • A total of 32.5 ml of blood drawn and processed into various components (plasma, serum, and buffy coat).
  • Samples will be stored at -80°C and transported to both a central laboratory in Kathmandu and the University of Michigan for further research.

The statistical analysis plan involves creating summary (composite) variables for cognitive and physical function tests and multi-item instruments. These procedures ensure comparability with previous research and provide reliable results on cognition and ADRD risk factors.

Key Statistical Methods:
  • Cognitive and Physical Function Scores:
  • We calculate summary scores for cognitive and physical tests by computing z-scores for individual tests and averaging them across tests.

  • Exposure Variables:
  • Summary scores are also computed for self-reported variables like international labor migration and armed conflict exposure.

  • Descriptive Analysis:
  • A range of statistical checks (means, medians, ranges, and distributions) is conducted on individual and composite variables.

  • Regression Models:
  • The primary analyses use design-adjusted logistic regressionfor binary outcomes and linear regression for continuous outcomes, accounting for key demographics like age, sex, education, and risk factors such as cardiovascular disease, diabetes, and depression.

Data visualization helps in understanding complex data sets through graphical representation.

Bar Chart
Bar Charts

Studies with measures comparable to CVFS.

Line Graph
Bar Charts

Estimated Prevalence of Dementia Among Individuals Aged 60 and Over by Global Regions (2009 vs. 2015)

Pie Chart
Bar Charts

Annual Work Permit Issuance for International Migrants (2008/09 - 2018/19)