Understanding Society User Support: Issueshttps://iserredex.essex.ac.uk/support/https://iserredex.essex.ac.uk/support/support/favicon.ico?15995719382024-03-05T12:49:48ZUnderstanding Society User Support
Redmine 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 #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 #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 #880 (Closed): Genetic data linked to NPDhttps://iserredex.essex.ac.uk/support/issues/8802017-11-15T16:13:46ZMichelle Lucianomichelle.luciano@ed.ac.uk
<p>Is genetic data available for individuals with linked National Pupil Database Wave 1 data, if so, what is the sample size? Thanks,<br />michelle</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> Support #718 (Closed): Which age variable to use for GWAS data? "ag16g10" or "ag16g20"https://iserredex.essex.ac.uk/support/issues/7182017-02-08T09:39:33ZTenghao Zhengtenghao.zheng@ki.se
<p>Hi,</p>
<p>I am now working on GWAS data of understanding society cohort, and would like to add age as a covariate in association analyses. Actually there are two ago variables in the provided covariates file: "ag16g10" and "ag16g20", with comments "age of individual in 10/20 year bands" respectively. Some of the individuals had a ten years' greater "ag16g10" value than "ag16g20". However, the rest had the same value for both "ag16g10" and "ag16g20", which confused me on how to choose the appropriate one.</p>
<p>I have tried to check several documents on the website, but still failed to find relevant information on this point. i would appreciate it if you could provide more information of these two variables at your convenience. e.g. what are the differences for these two age variables? which age represented the age when their biological samples were collected?</p>
<p>Thanks in advance!</p>
<p>Best regards,<br />Tenghao</p> Support #696 (Closed): New wave of biomarker datahttps://iserredex.essex.ac.uk/support/issues/6962017-01-06T13:50:52ZMiguel Ramos
<p>Dear all,</p>
<p>Do you know when we'll have another wave of biomarker data?</p>
<p>Thank you for your support.</p>
<p>Best wishes,<br />Miguel</p> Support #671 (Closed): Nurse Survey Datahttps://iserredex.essex.ac.uk/support/issues/6712016-11-30T12:19:39ZDan Barraclough
<p>Hi there,</p>
<p>I am trying to download the data from the Nurse Health Assessment for Wave's 1, 4 and 5. I can only find the Nurse Assessment for Wave's 2 and 3 on the UK Data Service. I am undertaking a dissertation on the impacts of obesity upon work productivity and need the nurse H.A. for accurate measures of BMI.</p>
<p>I was wondering whether you guys have access to this and could loan me access to the micro-level data?</p>
<p>Many thanks,</p>
<p>Dan</p> Support #652 (Closed): Crp Biormarkerhttps://iserredex.essex.ac.uk/support/issues/6522016-11-01T20:46:42ZTheodora Kokosidora.kokosi@gmail.com
<p>Hello,</p>
<p>I would like to know if there is any specific indicator that shows us which wave the biomarkers are obtained from? I know that they are obtained in wave 2 or 3 but due to statistical reasons I need to know exactly the wave. Could you help me with this, please? To be more specific, I am looking for the c-reactive protein (CRP), which I found in the biomarkers file in the xlabblood_ns.sav.</p> Support #645 (Closed): lifetime depression diagnosis rateshttps://iserredex.essex.ac.uk/support/issues/6452016-10-18T14:48:19ZDan Howdon
<p>Hi,</p>
<p>I'm working with Understanding Society (US) and am somewhat confused by the lifetime depression diagnosis rates reported in Wave 1. I have checked your guidance and cannot see anything that deals with this topic, nor can I find any published papers that flag this up. I'd appreciate any suggestions you had that could help point towards explanations for this, or if there's any of your documentation that might explain this that I've missed.</p>
<p>Lifetime depression diagnosis rates seem somewhat at odds with existing research -- both on average and when age-stratified groups are considered. For instance, Health Survey for England (HSE) 2014 shows around 13% of their sample have ever been diagnosed with depression by a doctor/other medical professional. This seems . When the same substantive question is posed in US, this rate is only 7% (variable a_hcond17). While the questions are perhaps posed in a different way (with a single showcard in US, and with structured questions of 'Do you think you have ever had condition x?' and subsequently 'Did a doctor/other health professional diagnose you with x?'), this seems a rather large discrepancy. When GHQ questions about contemporary rates of depression/unhappiness are examined in each, HSE and US (variable a_scghqi) report broadly similar rates -- indeed, US seems to find a greater proportion of people who are feeling worse than normal.</p>
<p>I've looked at potentially relevant factors in explaining this, such as whether anyone else was present at the interview, but can only find small differences here, and no groups for which this diagnosis rate is more than 1-2 % points higher. My coauthor and I would really appreciate any advice you could offer.</p>
<p>Cheers,</p>
<p>Dan Howdon<br />University of Groningen</p>