{"type":"survey","doc_desc":{"title":"Study on Global Ageing and Adult Health 2014","idno":"DDI_MEX_2014_SAGE-W2_v01_M","producers":[{"name":"Nirmala Naidoo","abbreviation":"","affiliation":"World Health Organization ","role":"Metadata supervision and review and documentation of study"},{"name":"Yunpeng Huang","abbreviation":"","affiliation":"World Health Organization ","role":"Documentation of data"},{"name":"Development Economics Data Group","abbreviation":"DECDG","affiliation":"The World Bank","role":"Metadata adapted for World Bank Microdata Library"}],"prod_date":"2023-05-17","version_statement":{"version":"Version 01 (May 2023): This metadata was downloaded from the WHO Multi-Country Studies Data Archive (https:\/\/apps.who.int\/healthinfo\/systems\/surveydata\/index.php\/catalog) and it is identical to WHO version (MEX-WHO-SAGE-2014-v01). The following two metadata fields were edited - Document ID and Survey ID."}},"study_desc":{"title_statement":{"idno":"MEX_2014_SAGE-W2_v01_M","title":"Study on Global Ageing and Adult Health 2014","sub_title":"Wave 2","alt_title":"SAGE-W2 2014"},"authoring_entity":[{"name":"Mr. A. Salinas Rodriguez","affiliation":"Instituto Nacional de Salud P\u00fablica "},{"name":"Dr. B. Soledad Manrique Espinoza","affiliation":"Instituto Nacional de Salud P\u00fablica "}],"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":"Dr. M. Romero Martinez","affiliation":"Instituto Nacional de Salud P\u00fablica ","role":"Data collection manager "},{"name":"Mrs. A. Frank Nu\u00f1ez","affiliation":"Instituto Nacional de Salud P\u00fablica ","role":"Field work manager"}],"copyright":"\u00a9 World Health Organization 2016","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)"}],"grant_no":"R01-AG034479, IR21-AG034263-0182"},"distribution_statement":{"contact":[{"name":"Nirmala Naidoo","affiliation":"World Health Organization","email":"sagesurvey@who.int","uri":""}]},"series_statement":{"series_name":"World Health Survey [hh\/whs]","series_info":"The Study on Global Ageing and Adult Health is the third round of the World Health Survey which was conducted in 2003. \nSAGE surveys are designed by the World Health Organization and implemented by national agencies in participating countries."},"version_statement":{"version":"Version 01: Edited, anonymous dataset for public distribution.","version_date":"2015-07-01"},"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","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":"The multi-country Study on Global Ageing and Adult Health (SAGE) is run by the World Health Organization's Multi-Country Studies unit in the Health Systems and Innovation 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 2 (2014\/15) 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.\n\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:\n- Household 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\n- Verbal Autopsy questionnaire\nSection 1: Information on the Deceased and Date\/Place of Death \nSection 1A7: Vital Registration and Certification \nSection 2: Information on the Respondent \nSection 3A: Medical History Associated with Final Illness \nSection 3B: General Signs and Symptoms Associated with Final Illness \nSection 3E: History of Injuries\/Accidents \nSection 3G: Health Service Utilization \nSection 4: Background \nSection 5A: Interviewer Observations\n\n- Individual questionnaire\n1000 Socio-Demographic Characteristics \n1500 Work History and Benefits \n2000 Health State Descriptions \n2500 Anthropometrics, Performance Tests and Biomarkers \n3000 Risk Factors and Preventive Health Behaviours \n4000 Chronic Conditions and Health Services Coverage \n5000 Health Care Utilisation \n6000 Social Networks \n7000 Subjective Well-Being and Quality of Life (WHOQoL-8 and Day Reconstruction Method) \n8000 Impact of Caregiving \n9000 Interviewer Assessment\n\n- Proxy Questionnaire\nSection1 Respondent Characteristics and IQ CODE\nSection2 Health State Descriptions \nSection4 Chronic Conditions and Health Services Coverage\nSection5 Health Care Utilisation","coll_dates":[{"start":"2014-07-27","end":"2014-10-14","cycle":""}],"nation":[{"name":"Mexico","abbreviation":"MEX"}],"geog_coverage":"National coverage","analysis_unit":"households and individuals","universe":"The household section of the survey covered all households in 31 of the 32 federal states in Mexico. Colima was excluded. Institutionalised populations are excluded. \nThe individual section covered all persons aged 18 years and older residing within individual households. As the focus of SAGE is older adults, a much larger sample of respondents aged 50 years and older was selected with a smaller comparative sample of respondents aged 18-49 years.","data_kind":"Sample survey data [ssd]","notes":"The scope of the Study on Global Ageing and Adult Health includes:\n- Household: household characteristics, housing, household and family support, assets and household income, household expenditure.\n- Individual: socio demographic characteristics, work history, health state, anthropometrics, performance tests and biomarkers, risk factors, chronic conditions and health service coverage, health care utilisation, socialnetworks, subjective well-being and quality of life, caregiving."},"method":{"data_collection":{"data_collectors":[{"name":"Instituto Nacional de Salud P\u00fablica","abbreviation":"INSP","affiliation":"Ministry of Health"}],"sampling_procedure":"In Mexico strata were defined by locality (metropolitan, urban, rural). All 211 PSUs selected for wave 1 were included in the wave 2 sample. A sub-sample of 211 PSUs was selected from the 797 WHS PSUs for the wave 1 sample.\nThe Basic Geo-Statistical Areas (AGEB) defined by the National Institute of Statistics (INEGI) constitutes a PSU. PSUs were selected probability proportional to three factors:\na) (WHS\/SAGE Wave 0 50plus): number of WHS\/SAGE Wave 0 50-plus interviewed at the PSU,\nb) (State Population): population of the state to which the PSU belongs,\nc) (WHS\/SAGE Wave 0 PSU at county): number of PSUs selected from the county to which the PSU belongs for the WHS\/SAGE Wave 0\nThe first and third factors were included to reduce geographic dispersion. Factor two affords states with larger populations a greater chance of selection.\n\nAll WHS\/SAGE Wave 0 individuals aged 50 years or older in the selected rural or urban PSUs and a random sample 90% of individuals aged 50 years or older in metropolitan PSUs who had been interviewed for the WHS\/SAGE Wave 0 were included in the SAGE Wave 1 ''primary'' sample. The remaining 10% of WHS\/SAGE Wave 0 individuals aged 50 years or older in metropolitan areas were then allocated as a ''replacement'' sample for individuals who could not be contacted or did not consent to participate in SAGE Wave 1. A systematic sample of 1000 WHS\/SAGE Wave 0 individuals aged 18-49 across all selected PSUs was selected as the ''primary'' sample and 500 as a ''replacement'' sample.\n\nThis selection process resulted in a sample which had an over-representation of individuals from metropolitan strata; therefore, it was decided to increase the number of individuals aged 50 years or older from rural and urban strata. This was achieved by including individuals who had not been part of WHS\/SAGE Wave 0 (which became a ''supplementary'' sample), although the household in which they lived included an individual from WHS\/SAGE Wave 0. All individuals aged 50 or over were included from rural and urban ''18-49 households'' (that is, where an individual aged 18-49 was included in WHS\/SAGE Wave 0) as part of the ''primary supplementary'' sample. A systematic random sample of individuals aged 50 years or older was then obtained from urban and rural households where an individual had already been selected as part of the 50 years and older or 18-49 samples. These individuals then formed part of the ''primary supplementary'' sample and the remainder (that is, those not systematically selected) were allocated to the ''replacement supplementary'' sample. Thus, all individuals aged 50 years or older who lived in households in urban and rural PSUs obtained for SAGE Wave 1 were selected as either a primary or replacement participant. A final ''replacement'' sample for the 50 and over age group was obtained from a systematic sample of all individuals aged 50 or over from households which included the individuals already selected for either the 50 and over or 18-49. This sampling strategy also provided participants who had not been included in WHS\/SAGE Wave 0, but lived in a household where an individual had been part of WHS\/SAGE Wave 0 (that is, the ''supplementary'' sample), in addition to follow-up of individuals who had been included in the WHS\/SAGE Wave 0 sample. \n\nStrata: Locality = 3\nPSU: AGEBs = 211\nSSU: Households = 6549 surveyed\nTSU: Individual = 6342 surveyed","coll_mode":["Face-to-face [f2f], CAPI"],"research_instrument":"The questionnaires were based on the SAGE Wave 1 Questionnaires with some modification and new additions, except for verbal autopsy. SAGE Wave 2 used the 2012 version of the WHO Verbal Autopsy Questionnare. SAGE Wave 1 used an adapted version of the Sample Vital Registration iwth Verbal Autopsy (SAVVY) questionnaire. \nA Household questionnaire was administered to all households eligible for the study. \nA Verbal Autopsy questionnaire was administered to 50 plus households only. In follow-up 50 plus household if the death occured since the last wave of the study and in a new 50 plus household if the death occurred in the the past two years. Deceased had to be 50 years or more at the time of death.\nAn Individual questionniare was administered to eligible respondents identified from the household roster. \nA Proxy questionnaire was administered to individual respondents who had cognitive limitations. \nThe questionnaires were developed in English. All documents were translated into Spanish. All SAGE generic English questionnaires are available as external resources.","coll_situation":"The pre-test for the study took place on 24 July 2014 in the municipality of Ocoyoacac in the state of Mexico. 14 household questionnaires were administed, 2 verbal autopsy, 16 individual, 1 proxy. Anthropometrics were obtained for 14 respondents.\nNo blood samples were taken.The pre-test data is not included in the final dataset.\nThere were 5 fieldwork teams. Each team was headed by a fieldwork coordinator who supervised one IT specialist and 2 supervisors. Each supervisor was responsible for 2 interviewers and one nurse. \nA total of 5 coordinators, 10 supervisors, 5 IT specialists, 20 interviewers and 10 nurses comprised the fieldwork team.\nData collection took place over a period of about 12 weeks from 27 July until 14 October, 2014. Interviewing took place everyday throughout the fieldwork period.\nInterviews were conducted in Spanish.","weight":"Household weights(variable hhweight) for analysis at household level and individual weights(variable pweight) for analysis at person level were calculated. These were based on the selection probability at each stage of selection. Household weights were post-stratified by locality according to the 2009 population census projections. \nIndividual weights were post-stratified by sex and age-groups (18-34, 35-49, 50-59, 60-105) according to the 2009 population census projections. \nWeights are divided by 1000 and 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 FoxPro files \n(4) range and consistency secondary edits in Stata"},"analysis_info":{"response_rate":"Household response rate was 83%.\nMain reason for non-response was the inability to locate the household.\n\nIndividual response rate was 81%."}},"data_access":{"dataset_use":{"contact":[{"name":"Nirmala Naidoo","affiliation":"World Health Organization","email":"sagesurvey@who.int","uri":"http:\/\/apps.who.int\/healthinfo\/systems\/surveydata\/index.php\/catalog\/67"}],"cit_req":"Publications based on SAGE data should use the following acknowledgement: \u201cThis paper uses data from WHO's Study on Global Ageing and Adult Health (SAGE). SAGE is supported by the US National Institute on Aging through Interagency Agreements OGHA 04034785; YA1323-08-CN-0020; Y1-AG-1005-0) and through research grants R01-AG034479 and R21-AG034263 \u201c.","conditions":"The data is accessible under the following terms and conditions:\n1. The data and other materials will not be redistributed or sold to other individuals, institutions, or organizations without the written agreement of The World Health Organization(WHO). \n2. The data will be used for statistical and scientific research purposes only. And will be used solely for reporting of aggregated information, and not for investigation of specific individuals or organizations. \n3. No attempt will be made to re-identify respondents, and no use will be made of the identity of any person or establishment discovered inadvertently. Any such discovery should be reported immediately to WHO. \n4. No attempt will be made to produce links among datasets provided by the WHO Multi-Country Studies Data Archive, or among data from the WHO Multi-Country Studies Data Archive and other datasets that could identify individuals or organizations. \n5. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the WHO Multi-Country Studies Data Archive will cite the source of data in accordance with the Citation Requirement provided with each dataset. \n6. An electronic copy of all reports and publications based on the requested data will be sent to the The World Health Organization.\n\nInstituto Nacional de Salud P\u00fablica(INSP), The World Health Organization(WHO) and the US National Institute on Aging(NIA) bear no responsibility for use of the data or for interpretations or inferences based upon such uses.","disclaimer":"The data is being distributed without warranty of any kind. \nThe responsibility for the use of the data lies with the user. \nIn no event shall the World Health Organization be liable for damages arising from its use."}}},"schematype":"survey","data_files":[{"file_id":"F1","file_name":"MexicoHHDataW2","description":null,"case_count":"5451","var_count":"545","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F2","file_name":"MexicoINDDataW2","description":null,"case_count":"4665","var_count":"1380","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F3","file_name":"MexicoProxyDataW2","description":null,"case_count":"489","var_count":"166","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F4","file_name":"MexicoVADataW2","description":null,"case_count":"580","var_count":"230","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null}],"variables":[{"file_id":"F1","vid":"V1","name":"q0001","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":null,"loc_end_pos":null,"loc_width":"18","loc_rec_seg_no":"1","labl":"q0001: research center number","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"Research Centre Number","var_qstn_postqtxt":"101 china\n106 india\n140 mexico\n152 russian federation\n155 south africa\n241 ghana","var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[{"value":"5451","type":"vald","wgtd":null},{"value":"0","type":"invd","wgtd":null}],"var_txt":null,"var_catgry":[{"value":"101","labl":"china","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"106","labl":"india","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"140","labl":"mexico","is_missing":null,"stats":[{"value":"5451","type":"freq","wgtd":null}]},{"value":"152","labl":"russian federation","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"155","labl":"south africa","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"241","labl":"ghana","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]}],"var_codinstr":null,"var_concept":[],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":"101","max":"241"},"fid":"F1"},{"file_id":"F1","vid":"V2","name":"q0002","var_intrvl":"discrete","var_dcml":null,"var_wgt":null,"var_is_wgt":null,"loc_start_pos":null,"loc_end_pos":null,"loc_width":"20","loc_rec_seg_no":"1","labl":"q0002: household id number","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"Household ID","var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[{"value":"5451","type":"vald","wgtd":null},{"value":"0","type":"invd","wgtd":null}],"var_txt":null,"var_catgry":[],"var_codinstr":null,"var_concept":[],"var_format":{"type":"character","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null},"fid":"F1"},{"file_id":"F1","vid":"V3","name":"q0003","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":null,"loc_end_pos":null,"loc_width":"8","loc_rec_seg_no":"1","labl":"q0003: type of interview (new, f\/u, retest, proxy, validatio","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"Is this a new or follow-up interview?","var_qstn_postqtxt":"1. 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Please also mention if you were talking or interacting with anyone for any parts of the morning. By interacting with, I mean were you consistently paying attention to someone. For example, if you were bathing a young child you would be interacting with them even if you were not talking. On the other hand, talking to someone for less than 5 minutes does not count as interacting.\n\nBe sure to cover as much as you can remember. You don't have to go in order, but it's probably easier that way. Be sure to stop with activities from around noon\/mid-day.","var_qstn_qstnlit":"14. LISTENING TO RADIO","var_qstn_postqtxt":"1. Yes\n2. 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Please also mention if you were talking or interacting with anyone for any parts of the morning. By interacting with, I mean were you consistently paying attention to someone. For example, if you were bathing a young child you would be interacting with them even if you were not talking. On the other hand, talking to someone for less than 5 minutes does not count as interacting.\n\nBe sure to cover as much as you can remember. You don't have to go in order, but it's probably easier that way. Be sure to stop with activities from around noon\/mid-day.","var_qstn_qstnlit":"16. EXERCISING OR LEISURELY WALK","var_qstn_postqtxt":"1. Yes\n2. 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Please also mention if you were talking or interacting with anyone for any parts of the morning. By interacting with, I mean were you consistently paying attention to someone. For example, if you were bathing a young child you would be interacting with them even if you were not talking. On the other hand, talking to someone for less than 5 minutes does not count as interacting.\n\nBe sure to cover as much as you can remember. You don't have to go in order, but it's probably easier that way. Be sure to stop with activities from around noon\/mid-day.","var_qstn_qstnlit":"17. OTHER LEISURELY ACTIVITY","var_qstn_postqtxt":"1. Yes\n2. 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Please also mention if you were talking or interacting with anyone for any parts of the morning. By interacting with, I mean were you consistently paying attention to someone. For example, if you were bathing a young child you would be interacting with them even if you were not talking. On the other hand, talking to someone for less than 5 minutes does not count as interacting.\n\nBe sure to cover as much as you can remember. You don't have to go in order, but it's probably easier that way. Be sure to stop with activities from around noon\/mid-day.","var_qstn_qstnlit":"18. GROOMING OR BATHING","var_qstn_postqtxt":"1. Yes\n2. 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Please also mention if you were talking or interacting with anyone for any parts of the morning. By interacting with, I mean were you consistently paying attention to someone. For example, if you were bathing a young child you would be interacting with them even if you were not talking. On the other hand, talking to someone for less than 5 minutes does not count as interacting.\n\nBe sure to cover as much as you can remember. You don't have to go in order, but it's probably easier that way. Be sure to stop with activities from around noon\/mid-day.","var_qstn_qstnlit":"19. EATING","var_qstn_postqtxt":"1. Yes\n2. 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Please also mention if you were talking or interacting with anyone for any parts of the morning. By interacting with, I mean were you consistently paying attention to someone. For example, if you were bathing a young child you would be interacting with them even if you were not talking. On the other hand, talking to someone for less than 5 minutes does not count as interacting.\n\nBe sure to cover as much as you can remember. You don't have to go in order, but it's probably easier that way. Be sure to stop with activities from around noon\/mid-day.","var_qstn_qstnlit":"20. RELIGIOUS ACTIVITY","var_qstn_postqtxt":"1. Yes\n2. 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Please also mention if you were talking or interacting with anyone for any parts of the morning. By interacting with, I mean were you consistently paying attention to someone. For example, if you were bathing a young child you would be interacting with them even if you were not talking. On the other hand, talking to someone for less than 5 minutes does not count as interacting.\n\nBe sure to cover as much as you can remember. You don't have to go in order, but it's probably easier that way. Be sure to stop with activities from around noon\/mid-day.","var_qstn_qstnlit":"21. PROVIDING CARE TO SOMEONE","var_qstn_postqtxt":"1. Yes\n2. 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Please also mention if anyone was with you for any parts of the afternoon.\n\nBe sure to cover as much as you can remember. You don't have to go in order, but it's probably easier that way. Be sure to describe only the activities from your afternoon yesterday between mid-day and evening.","var_qstn_qstnlit":"20. RELIGIOUS ACTIVITY","var_qstn_postqtxt":"1. Yes\n2. 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Please also mention if anyone was with you for any parts of the afternoon.\n\nBe sure to cover as much as you can remember. You don't have to go in order, but it's probably easier that way. Be sure to describe only the activities from your afternoon yesterday between mid-day and evening.","var_qstn_qstnlit":"22. INTIMATE RELATIONS\/SEX","var_qstn_postqtxt":"1. Yes\n2. 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Please also mention if anyone was with you for any parts of the afternoon.\n\nBe sure to cover as much as you can remember. You don't have to go in order, but it's probably easier that way. Be sure to describe only the activities from your afternoon yesterday between mid-day and evening.","var_qstn_qstnlit":"23. WENT TO SLEEP FOR THE NIGHT","var_qstn_postqtxt":"1. Yes\n2. 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Please also mention if anyone was with you for any parts of the afternoon.\n\nBe sure to cover as much as you can remember. You don't have to go in order, but it's probably easier that way. Be sure to describe only the activities from your afternoon yesterday between mid-day and evening.","var_qstn_qstnlit":"1. ALONE","var_qstn_postqtxt":"1. Yes\n2. 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Please also mention if anyone was with you for any parts of the afternoon.\n\nBe sure to cover as much as you can remember. You don't have to go in order, but it's probably easier that way. Be sure to describe only the activities from your afternoon yesterday between mid-day and evening.","var_qstn_qstnlit":"3. ADULT CHILDREN (AGED 18 YEARS AND OLDER)","var_qstn_postqtxt":"1. Yes\n2. 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