Understanding Society User Support: Issueshttps://iserredex.essex.ac.uk/support/https://iserredex.essex.ac.uk/support/support/favicon.ico?15995719382024-03-13T21:01:15ZUnderstanding Society User Support
Redmine Support #2076 (Feedback): Issues with xx_hadcvvac variables in COVID-19 data collectionhttps://iserredex.essex.ac.uk/support/issues/20762024-03-13T21:01:15ZLaura L
<p>Good evening,</p>
<p>I am currently analysing data from the <em>xx_indresp_w</em> datasets of the COVID-19 data collection, specifically from wave 9 (ci), wave 8 (ch) and wave 7 (cg). From the documentation, the questions <em>xx_hadcvvac</em> (about having received the COVID-19 vaccine in each survey wave) should be asked to respondents that have not already answered that they received 1 or 2 doses of vaccines in previous months (answer codes 1 and 2). However, by cross-tabulating the answers to the <em>xx_hadcvvac</em> questions for wave 7 and 9 for respondents present in wave 9 and 7 (left-joining the datasets by respondent ID <em>pidp</em>, i.e. matching all respondents in wave 9 with those that were also in wave 7):</p>
<p>table(ci_hadcvvac = wave_9$ci_hadcvvac, cg_hadcvvac = wave_9$cg_hadcvvac)</p>
<p>with <em>wave_9</em> the left-joined dataset, I obtain the following table:</p>
<pre><code>cg_hadcvvac<br />ci_hadcvvac -9 -8 -2 1 2 3 4<br /> -8 0 10 0 133 9 492 4835<br /> -2 2 0 2 0 0 0 4<br /> 1 0 0 0 4 1 1 133<br /> 2 0 3 1 <strong>1663 116</strong> 36 2538<br /> 3 0 0 0 0 0 1 5<br /> 4 0 0 0 2 0 3 322</code></pre>
<p>As you can see from the numbers in bold (took as examples), there are some respondents vaccinated in wave 7 that appear to be asked the question again in wave 9. Am I missing some information?</p>
<p>Thank you very much in advance for the support.</p>
<p>Best regards, <br />Laura</p> Support #2068 (Feedback): Wave 16 biological datahttps://iserredex.essex.ac.uk/support/issues/20682024-03-05T12:49:48ZEleanor Winpennyew470@cam.ac.uk
<p>Hi,<br />Do you have any estimate when the wave 16 biological data is likely to be released? This would be really helpful to know whether I can include it in a grant application.</p> Support #2059 (Feedback): BMI, weight and height variableshttps://iserredex.essex.ac.uk/support/issues/20592024-02-26T13:36:19ZBeate Panko
<p>I am interested in looking at BMI across different years but it seems this variable (or weight and height which would allow for BMI to be calculated) is only present in wave 1, is this true? In the understanding society webpage it says “A range of bio-medical measures were collected from around 20,000 adults, which included blood pressure, weight, height” but am struggling to find them, are they available anywhere? Thank you.</p> Support #2041 (Resolved): w_outcome in COVID-19 survey waveshttps://iserredex.essex.ac.uk/support/issues/20412024-01-26T08:16:49ZLaura L
<p>In the cv_indresp dataset (COVID-19 survey), there are three variables (i_outcome, j_outcome, k_outcome) referring to three survey waves of the main survey. They are supposed to indicate the completion status of each of these main survey wave for each respondent. However, I cannot find I clear indication about the values coding. How should I interpret the different values of the w_outcome variables?</p> Support #2039 (Resolved): Household identifier in Understanding Society COVID-19 Survey Waveshttps://iserredex.essex.ac.uk/support/issues/20392024-01-24T10:07:56ZLaura L
<p>I have a question about the use of the household identifiers (i_hidp, j_hidp, k_hidp) in the Understanding Society COVID-19 data. From what I understand from the user guide, j_hidp and k_hidp both refer to interviews made in 2019, in wave 10 and 11 of the main Understanding Society survey respectively. So, each respondent in the COVID-19 survey should either have j_hidp, and "-8" (inapplicable) in k_hidp, or viceversa. However, within the same COVID-19 survey wave respondents have both, except for few missing values (around 2-3 per identifier, code "-9"). Is there something I am not understanding? Shouldn't the two identifiers be alternative?</p> Support #1968 (Resolved): Is it possible to have access to the raw methylation data?https://iserredex.essex.ac.uk/support/issues/19682023-09-06T09:35:35ZSanem Özayral
<p>I received access for the dataset EGAD00010001521 through the Sanger Institute (link to the dataset: <a class="external" href="https://ega-archive.org/datasets/EGAD00010001521">https://ega-archive.org/datasets/EGAD00010001521</a>). This dataset constitutes DNA methylation samples from Understanding Society Study. We were planning to use it for our study as control data. However, the data is processed by a normalization method which is not suitable to my analysis. I would like to ask if it is possible to have access to the raw data (IDAT files). If possible, could you inform me about the steps I should take?</p> Support #1684 (Resolved): Difference between cd_chsdqtd_dv_f and cd_chsdqtd_dv_mhttps://iserredex.essex.ac.uk/support/issues/16842022-04-14T17:05:14ZIrina Kolegova
<p>Hello!</p>
<p>I am currently using cd_schild_w.dta dataset from COVID-19 wave 4 (June 2020). <br />I have noticed that after many variables there are _m or _f ending. Could you please tell what is the difference between them?</p>
<p>Thank you!</p>
<p>Kind regards,<br />Irina</p> Support #1683 (Resolved): Merging parents (cd_indresp_w.dta) to children (cd_youth.dta)https://iserredex.essex.ac.uk/support/issues/16832022-04-14T16:42:28ZIrina Kolegova
<p>Hello!</p>
<p>I am trying to merge children to parents for COVID waves. Could you please tell me how can I do that?</p>
<p>Thank you</p> Support #1675 (Resolved): Wave 7 COVID-19 DATA- Employment Statushttps://iserredex.essex.ac.uk/support/issues/16752022-04-04T13:31:22ZFATHIA Alialifk@cardiff.ac.uk
<p>I am trying to find a variable for employment status but cannot find one measuring whether people are employed or unemployed. I want to look at employment status and food insecurity as research shows that unemployed people are more likely to use a food bank. Can you help me with identifying this as all i can are questions asking people if they are employed or self employed.</p> Support #1274 (Resolved): Polygenic Scoreshttps://iserredex.essex.ac.uk/support/issues/12742019-11-13T15:11:10ZMichael Lebenbaum
<p>Hi,</p>
<p>Are there any plans for the public use data to have pre-constructed Polygenic scores and for these to be available with the public use data (instead of the full GWAS data)?</p>
<p>Thank you,<br />Michael</p> Support #1238 (Resolved): Genotyping Data - plink formathttps://iserredex.essex.ac.uk/support/issues/12382019-09-05T14:32:24ZDionysios Grigoriadis
<p>Hi,</p>
<p>We have granted access to the gwas data through EGA (through WTSI) after the process of signing an agreement (dataset EGAD00010000890). However, the data-set we granted access to contains illumina's IDATS files with the signal intensities making it time-consuming to process them. Is there anyway we can get this data in plink format?</p>
<p>Thanks a lot,<br />Dionysios Grigoriadis<br />Bioinformatician<br />St. George's University of London</p> Support #1086 (Resolved): Biomarker serum creatininehttps://iserredex.essex.ac.uk/support/issues/10862018-11-07T08:15:03ZPer-Ola Sundinperola.sundin@regionorebrolan.se
<p>Could you please inform me whether the analysis of serum creatinine is standardized according to IDMS?</p>
<p>Yours sincerely<br />Dr Per-Ola Sundin</p> Support #954 (Resolved): Nurse health assessment - bioimpedance measureshttps://iserredex.essex.ac.uk/support/issues/9542018-04-09T14:01:07ZPer-Ola Sundinperola.sundin@regionorebrolan.se
<p>I am analysing data from the Understanding society Nurse Health assessment. To evaluate kidney function I aim to use creatinine values from the blood samples and a measure of creatinine production (essentially muscle mass). The sunbjects underwent bioimpedance assessment of body composition and the nurse noted the body fat percentage which I find in the documentation and in the variables. Since the device used (Tanita scale) also present other measures like total body muscle mass, lean body mass, total body water and possibly body cell mass I am curious to know if these data also have been recorded?</p>
<p>Finding a better measure for muscle mass than subtracting fat mass from body weight to get lean body mass is essential for our study. The key concept of our current research is assessing kidney function without using the estimated GFR from creatinine to be able to adress some possible confounders of the association between estimated GFR and adverse outcomes.</p>
<p>I would much appreciate any guidance you can provide in this matter.</p>
<p>Yours sincerely,</p>
<p>Dr Per-Ola Sundin<br />PhD student<br />Örebro University<br />Sweden</p> Support #889 (Resolved): Wave 2 main interview & nurse assessment datahttps://iserredex.essex.ac.uk/support/issues/8892017-12-11T11:48:32ZRachel Bennett
<p>I am interested in using the wave 2 main interview data linked to the nurse assessment data on biomarkers for this sample only (i.e. I am only interested in the GPS sample, not combining with the BHPS sample who had their nurse assessment after wave 3). I understand from the Nurse Assessment user guide that I should use the weight variable 'b_indnsus_xw' for this type of analysis. However I cannot seem to find this variable in the wave 2 main data or the nurse's assessment data. Would you be able to advise where it can be found? Many thanks.</p> Support #775 (Feedback): Nurse interviewer ID number 9999https://iserredex.essex.ac.uk/support/issues/7752017-05-06T13:32:23ZFiona Pashazadeh
<p>Dear Understanding Society Team,</p>
<p>In the nurse visit file for wave 2 individuals, b_indsamp_ns, there are 3827 records with nurse interviewer ID 9999 (b_nsintnum). It looks as though this ID was applied to those who refused the nurse visit at the CATI stage or were out of scope/ineligible at CATI, but the numbers do not quite match up (e.g. some households and individuals recorded as CATI refusals have nurse IDs that correspond to nurses in the xivdata_ns file).</p>
<p>Please could you confirm the criteria for applying nurse interviewer ID 9999?</p>
<p>Thanks,</p>
<p>Fiona.</p>