{"doc_desc":{"title":"Study on Global Ageing and Adult Health-India-2007","idno":"DDI_IND_2007_SAGE_v01_M","producers":[{"name":"Nirmala Naidoo","abbreviation":"","affiliation":"World Health Organization","role":"Supervision and review of metadata and documentation of study"},{"name":"Yunpeng Huang","abbreviation":"","affiliation":"World Health Organization","role":"Documentation of the data"}],"prod_date":"2011-11-11","version_statement":{"version":"Version 1.0 (November 2011) - Adapted version of \"DDI-IND-WHO-SAGE-2007-V01\" documented by WHO."}},"study_desc":{"title_statement":{"idno":"IND_2007_SAGE_v01_M","title":"Study on Global Ageing and Adult Health 2007","sub_title":"Wave 1","alt_title":"SAGE India 2007"},"authoring_entity":[{"name":"Professor P. Arokiasamy","affiliation":"International Institute of Population Sciences "}],"oth_id":[{"name":"Dr Richard Suzman","affiliation":"The National Institute on Aging's Division of Behavioral and Social Research","email":"","role":"Dr Suzman was  Instrumental in providing continuous intellectual and other technical support to SAGE and has made the entire endeavour possible"}],"production_statement":{"producers":[{"name":"Professors Sulabha Parsuraman","affiliation":"International Institute of Population Sciences ","role":"co-PI"},{"name":"Professor Hem Lhungdim","affiliation":"International Institute of Population Sciences ","role":"co-PI"},{"name":"Professor TV Shekhar","affiliation":"International Institute of Population Sciences ","role":"co-PI"}],"copyright":"\u00a9 World Health Organization 2011","funding_agencies":[{"name":"US National Institute on Aging","abbreviation":"NIA","role":"Financial support through Interagency Agreements (OGHA 04034785; YA1323-08-CN-0020; Y1-AG-1005-01)  and Grants  (R01-AG034479;  IR21-AG034263-0182)"},{"name":"United States Agency for International Development","abbreviation":"USAID","role":"financial support "}],"grant_no":"R01-AG034479, IR21-AG034263-0182"},"distribution_statement":{"contact":[{"name":"Nirmala Naidoo","affiliation":"Health Statistics and Information Systems,World Health Organization","email":"sagesurvey","uri":""}]},"series_statement":{"series_name":"World Health Survey [hh\/whs]","series_info":"The Study on Global Ageing and Adult Health is the second wave of the World Health Survey which was conducted in 2003 by the World Health Organization. SAGE surveys are designed by the World Health Organization and implemented by national agencies in participating countries."},"version_statement":{"version":"v01:  Edited, anonymous dataset for public distribution.","version_date":"2011-11"},"study_info":{"keywords":[{"keyword":"Ageing, Alcohol,  Asthma, Blindness, Cancer, Cataract, Cervical cancer, Chronic diseases, COPD, Depression, Diabetes, Diet, Disabilities,  Epidemiology, Health financing, Health services, Health surveys, Health systems, Heart disease,  Indoor air pollution, Injuries traffic, Mapping, Noncommunicable diseases,  Nutrition, Obesity, Oral Health, Passive smoking, Physical activity, Poverty, Primary health care, Risk factors, Sanitation, Social determinants of health, Statistics, Stroke, Suicide, Tobacco, Visual impairment, Water, Women's health","vocab":"WHO Health topics","uri":"http:\/\/www.who.int\/topics\/en"}],"topics":[{"topic":"Study on Global Ageing and Adult Health (SAGE)","vocab":"Survey","uri":""}],"abstract":"Purpose:\nThe multi-country Study on Global Ageing and Adult Health (SAGE) is run by the World Health Organization's Multi-Country Studies unit in the Innovation, Information, Evidence and Research Cluster. SAGE is part of the unit's Longitudinal Study Programme which is compiling longitudinal data on the health and well-being of adult populations, and the ageing process, through primary data collection and secondary data analysis.  SAGE baseline data (Wave 0, 2002\/3) was collected as part of WHO's World Health Survey http:\/\/www.who.int\/healthinfo\/survey\/en\/index.html (WHS). SAGE Wave 1 (2007\/10) provides a comprehensive data set on the health and well-being of adults in six low and middle-income countries: China, Ghana, India, Mexico, Russian Federation and South Africa.\nObjectives: \nTo obtain reliable, valid and comparable health, health-related and well-being data over a range of key domains for adult and older adult populations in nationally representative samples \nTo examine patterns and dynamics of age-related changes in health and well-being using longitudinal follow-up of a cohort as they age, and to investigate socio-economic consequences of these health changes \nTo supplement and cross-validate self-reported measures of health and the anchoring vignette approach to improving comparability of self-reported measures, through measured performance tests for selected health domains \nTo collect health examination and biomarker data that improves reliability of morbidity and risk factor data and to objectively monitor the effect of interventions \n\nAdditional Objectives:\nTo generate large cohorts of older adult populations and comparison cohorts of younger populations for following-up intermediate outcomes, monitoring trends, examining transitions and life events, and addressing relationships between determinants and health, well-being and health-related outcomes \nTo develop a mechanism to link survey data to demographic surveillance site data \nTo build linkages with other national and multi-country ageing studies \nTo improve the methodologies to enhance the reliability and validity of health outcomes and determinants data \nTo provide a public-access information base to engage all stakeholders, including national policy makers and health systems planners, in planning and decision-making processes about the health and well-being of older adults \n\nMethods: \nSAGE's first full round of data collection included both follow-up and new respondents in most participating countries. The goal of the sampling design was to obtain a nationally representative cohort of persons aged 50 years and older, with a smaller cohort of persons aged 18 to 49 for comparison purposes. In the older households, all persons aged 50+ years (for example, spouses and siblings) were invited to participate. Proxy respondents were identified for respondents who were unable to respond for themselves. Standardized SAGE survey instruments were used in all countries consisting of five main parts: 1) household questionnaire; 2) individual questionnaire; 3) proxy questionnaire; 4) verbal autopsy questionnaire; and, 5) appendices including showcards. A VAQ was completed for deaths in the household over the last 24 months. The procedures for including country-specific adaptations to the standardized questionnaire and translations into local languages from English follow those developed by and used for the World Health Survey.\n\nContent\nHousehold questionnaire\n0000 Coversheet \n0100 Sampling Information \n0200 Geocoding and GPS Information \n0300 Recontact Information \n0350 Contact Record \n0400 Household Roster \n0450 Kish Tables and Household Consent \n0500 Housing \n0600 Household and Family Support Networks and Transfers \n0700 Assets and Household Income \n0800 Household Expenditures \n0900 Interviewer Observations \n\nIndividual questionnaire\n1000 Socio-Demographic Characteristics \n1500 Work History and Benefits \n2000 Health State Descriptions and Vignettes \n2500 Anthropometrics, Performance Tests and Biomarkers \n3000 Risk Factors and Preventive Health Behaviours \n4000 Chronic Conditions and Health Services Coverage \n5000 Health Care Utilization \n6000 Social Cohesion \n7000 Subjective Well-Being and Quality of Life (WHOQoL-8 and Day Reconstruction Method) \n8000 Impact of Caregiving \n9000 Interviewer Assessment","coll_dates":[{"start":"2007-04","end":"2007-08","cycle":""}],"nation":[{"name":"India","abbreviation":"IND"}],"geog_coverage":"National coverage","analysis_unit":"households and individuals","universe":"The household section of the survey covered all households in 19 of the 28 states in India which covers 96% of the population. Institutionalised populations are excluded. The individual section covered all persons aged 18 years and older residing within individual households.","data_kind":"Sample survey data [ssd]","notes":"The scope of the Study on Global Ageng and Adult Health includes:\nHOUSEHOLD: household characteristics, housing, household and family support, assets and household income, household expenditure.\nINDIVIDUAL: socio demographic characteristics, work history, health state, anthropometrics, performance tests and biomarkers, risk factors, chronic conditions and health service coverage, health care utilisation, social cohesion, subjective well-being and quality of life, caregiving."},"method":{"data_collection":{"data_collectors":[{"name":"Assam: TNS, New Delhi","abbreviation":"TNS","affiliation":""},{"name":"Karnataka: ISEC, Bangalore","abbreviation":"ISEC","affiliation":""},{"name":"Maharashtra: ORG, New Delhi","abbreviation":"ORG","affiliation":""},{"name":"Rajasthan: IHMMR, Jaipur","abbreviation":"IHMMR","affiliation":""},{"name":"Uttar Pradesh: RDI, New Delhi","abbreviation":"RDI","affiliation":""},{"name":"West Bengal: EIT, Calcutta","abbreviation":"EIT","affiliation":""}],"sampling_procedure":"World Health Survey Sampling\nIndia has 28 states and seven union territories. 19 of the 28 states were included in the design representing 96% of the population.\nIndia used a stratified multistage cluster sample design.  Six states were selected in accordance with their geographic location and  level of development. Strata were defined by the 6 states:(Assam, Karnataka, Maharashtra, Rajasthan, Uttar Pradesh and West Bengal), and locality (urban or rural). There are 12 strata in total. \nThe 2000 Census demarcation was used as the sampling frame. Two stage and three stage sampling was adopted in rural and urban areas, respectively. In rural areas PSUs(villages) were selected probability proportional to size. The measure of size being the 2001 Census population in the village.  SSUs (households) were selected using systematic sampling. TSUs (individuals) were selected using Kish tables.  In urban areas, PSUs(city wards) were selected probability proportional to size. SSUs(census enumeration blocks), two were randomly selected from each PSU. TSU (households) were selected using systematic sampling. QSU (individuals) were selected as in rural areas.\nA sample of 379 EAs was selected as the primary sampling units(PSU). \n\nSAGE Sampling\nThe SAGE sample was pre-determined as all PSUs and households selected for the WHS\/SAGE Wave 0 survey were included. Exceptions are three PSUs in Assam which were replaced as they were inaccessible due to flooding. And a further six PSUs were omitted for which the household roster information was not available. \nIn each selected EA, a listing of the households was conducted to classify each household into the following mutually exclusive categories:\n1)Households with a WHS\/SAGE Wave 0 respondent aged 50-plus: all members aged 50-plus including the WHS\/SAGE Wave 0 respondent were eligible for the individual interview.\n2)Households with a WHS\/SAGE Wave 0 respondent aged 47-49: all members aged 50-plus including the WHS\/SAGE Wave 0 respondent aged 47-49 was eligible for the individual interview.\n3)Households with a WHS\/SAGE Wave 0 female respondent aged 18-46: all females members aged 18-49 including the WHS\/SAGE Wave 0 female respondent aged 18-46 were eligible for the individual interview.\n4)Households with a WHS\/SAGE Wave 0 male respondent aged 18-46: three households were selected using systematic sampling and one male aged 18-49 was eligible for the individual interview. In the households not selected, all members aged 50-plus were eligible for the individual interview.\n\nStages of selection\nStrata: State, Locality=12\nPSU:    EAs=375 surveyed\nSSU:    Households=10424 surveyed\nTSU:    Individual=12198 surveyed","coll_mode":"Face-to-face [f2f] PAPI","research_instrument":"The questionnaires were based on the WHS Model Questionnaire with some modification and many new additions. A household questionnaire was administered to all households eligible for the study. A Verbal Autopsy questionnaire was administered to households that had a death in the last 24 months. An Individual questionniare was administered to eligible respondents identified from the household roster. A Proxy questionnaire was administered to individual respondents who had cognitive limitations. A Womans Questionnaire was administered to all females aged 18-49 years identified from the household roster. The questionnaires were developed in English and were piloted as part of the SAGE pretest in 2005. All documents were translated into Hindi, Assamese, Kanada and Marathi. SAGE generic questionnaires are available as external resources.","coll_situation":"The SAGE instrument was pre-tested in 2005 in India, Ghana and Tanzania. Just over 1500 persons were interviewed in total. Training of trainer workshop commenced the week of 19 February 2007 in Mumbai. Data collection was conducted by a separate agency in each state: Assam TNS, Karnataka ISEC, Maharashtra ORG, Rajasthan IHMMR and Uttar Pradesh RDI.  Three representatives from each agency attended the training workshop together with the entire IIPS SAGE team: one PI, three Co-PIs, one head coordinator, three health coordinators for health examinations and seven research officers (1 per state and 1 to be based at HQ). Fieldworker training workshops were conducted in each of the six states during the months of March\/April 2007. There were 3 fieldwork teams in Assam and Karanataka, four in Rajasthan and West Bengal and five in Maharashtra and Uttarpradesh. Each team comprised one male and one female interviewer and an additional person to conduct the health measurements and drawing the blood sample. Fieldwork within each state was coordinated by a research officer from IIPS who was based in the state for the duration of the fieldwork. Each of the health coordinators was responsible for the coordination of health examinations in 2 states. Overall supervision and coordination of fieldwork was conducted by a head coordinator from IIPS.","weight":"Household weights for analysis at household level and individual weights for analysis at person level were calculated. These were based on the selection probability at each stage of selection.\nHousehold weights were post-stratified by the six states and locality according to the 2006 household projections obtained from Population Projections for India and States 2001-2026: Report of the technical group on population projections constituted by the national commission on population May 2006, Office of the Registrar General and Census Commissioner  India.\nIndividual weights were post-stratified by the six states, locality, sex and age-groups (18-49, 50-59, 60-69, 70+) according to the 2006 projected population estimates. A second set of household and individual weights are available which are post-stratified to weight up to the number of households and 18-plus populations respectively in the entire country. Weights are not normalized.","cleaning_operations":"Data editing took place at a number of stages including:\n(1) office editing and coding \n(2) during data entry \n(3) structural checking of the CSPro files \n(4) range and consistency secondary edits in Stata"},"analysis_info":{"response_rate":"Household \nResponse rate=88%\nCooperation rate=92%\n\nIndividual:\nResponse rate=68%\nCooperation rate=92%"}},"data_access":{"dataset_use":{"contact":[{"name":"Nirmala Naidoo","affiliation":"Health Statistics and Information Systems, World Health Organization","email":"sagesurvey@who.int","uri":"http:\/\/apps.who.int\/healthinfo\/systems\/surveydata"}],"cit_req":"Publications based on SAGE data should use the following acknowledgement: \"This paper uses data from the WHO Study on Global AGEing and Adult Health (SAGE).\"","conditions":"The user undertakes: \n(1) to keep confidential any information concerning individual persons or households. \n(2) not to distribute the data to any other user.\n(3) to use the data for scientific research only.\n(4) to share any planned publications with WHO prior to publication.","disclaimer":"The data is being distributed without warranty of any kind. The responsibility for the use of the data lies with the user. In no event shall the World Health Organization be liable for damages arising from its use."}}},"schematype":"survey","tags":[{"tag":"noDOI"}]}