Dataset
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://research.jcu.edu.au/researchdata/published/detail/1c604ed07082f55e772164773e77005d&rft.title=Role of sleep and napping in cognition among older adults&rft.identifier=1c604ed07082f55e772164773e77005d&rft.publisher=James Cook University&rft.description=The participants for the study comprised of community dwelling older adults aged 60 and above living in Townsville, Queensland. Recruitment of the participants occurred between 1 July 2015 and 20 December 2015. Participants were recruited through a snowball method mainly through organizations including the JCU medical school volunteers group and the Townsville Region Committee on the Ageing Inc. (TRCOTA). Recruitment flyers were used to advertise a study of normal sleep patterns and encouraged all types of older adults to participate. 100 participants (53 female and 47 male) participated in the study.Demographic data collected included gender, age, years of education, BMI (Body Mass Index), employment status, caffeine, smoking and substance abuse data and data presence of pain, nocturia, diabetes, COPD (Chronic Obstructive Pulmonary Disease), non-skin cancer, osteoarthritis, CVD (Cardiovascular Disease), hypertension and sleeping disorders.Participants were assessed against the following scales: GDS (Geriatric Depression Scale); IADL (Instrumental Activities of Daily Living); GAI ( Geriatric Anxiety Inventory); PSQI (Pittsburgh Sleep Quality Inventory); ACE scores (Addenbrooke's Cognitive Examination III); ESS (daytime sleepiness) (Epworth Sleepiness Scale). Participants recorded subjective overnight sleep duration and time awake and nap frequency and duration over a 7 day period. Duration units are in minutes. Alcohol consumption and use of estrogen or benzodiazepines were also recorded. Objective data were collected using Fitbit activity trackers and the following calculated: Sleep efficiency (ratio of total sleep time to total time in bed X 100%); Lg10tACE (transformation of ACE scores); Sqsleepdurationsubj (TSTs 2 + TSTs - square of subjective sleep duration plus sleep duration); Sqsleepdurationobj (TSTo 2 + TSTo (square of objective sleep duration plus sleep duration)This dataset includes demographic and sleep data collected as part of the the author's DPsych study on the role of sleep and napping in cognition among older adults.&rft.creator=Wei Qiang, Kenny Cheong&rft.date=2016&rft.coverage=Townsville, Queensland, Australia&rft.coverage=146.84424369978,-19.306421622273 146.86303462461,-19.273228568016 146.87003854313,-19.236171431262 146.86456986298,-19.198876295361 146.84716389668,-19.164994931338 146.81952446149,-19.137846925761 146.7843570979,-19.120093573093 146.74510423248,-19.113475899581 146.70560820918,-19.118643021168 146.66973517397,-19.135088097611 146.64099662946,-19.161198342939 146.62220570462,-19.194414046955 146.6152017861,-19.231480606691 146.62067046625,-19.268768339522 146.63807643255,-19.302628302158 146.66571586774,-19.329749082654 146.70088323134,-19.347479785606 146.74013609676,-19.354088036165 146.77963212005,-19.348928317624 146.81550515526,-19.332504642524 146.84424369978,-19.306421622273&rft_rights=Once access to the data has been obtained via negotiation with the data manager, use of the dataset is governed by the CC-BY-NC AU licence.&rft_rights=CC BY-NC: Attribution-Noncommercial 3.0 AU http://creativecommons.org/licenses/by-nc/3.0/au&rft_subject=Sleep&rft_subject=Nap&rft_subject=Cognition&rft_subject=Older Adults&rft_subject=Health, Clinical and Counselling Psychology&rft_subject=Psychology and Cognitive Sciences&rft_subject=Psychology&rft_subject=Developmental Psychology and Ageing&rft_subject=Neurodegenerative Disorders Related to Ageing&rft_subject=Health&rft_subject=Clinical Health (Organs, Diseases and Abnormal Conditions)&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

Non-Commercial Licence view details
CC-BY-NC

CC BY-NC: Attribution-Noncommercial 3.0 AU
http://creativecommons.org/licenses/by-nc/3.0/au

Once access to the data has been obtained via negotiation with the data manager, use of the dataset is governed by the CC-BY-NC AU licence.

Access:

Conditions apply view details

Please contact the data manager or nominated primary contact to negotiate access to this data. If you have difficulty, please contact researchdata@jcu.edu.au for assistance.

Contact Information

weiqiangkenny.cheong@my.jcu.edu.au
Secure data section of the Tropical Data Hub (TDH) archive - eResearch Centre, James Cook University, Townsville, Queensland, Australia

Brief description

This dataset includes demographic and sleep data collected as part of the the author's DPsych study on the role of sleep and napping in cognition among older adults.

Full description

The participants for the study comprised of community dwelling older adults aged 60 and above living in Townsville, Queensland. Recruitment of the participants occurred between 1 July 2015 and 20 December 2015. Participants were recruited through a snowball method mainly through organizations including the JCU medical school volunteers group and the Townsville Region Committee on the Ageing Inc. (TRCOTA). Recruitment flyers were used to advertise a study of normal sleep patterns and encouraged all types of older adults to participate. 100 participants (53 female and 47 male) participated in the study.

Demographic data collected included gender, age, years of education, BMI (Body Mass Index), employment status, caffeine, smoking and substance abuse data and data presence of pain, nocturia, diabetes, COPD (Chronic Obstructive Pulmonary Disease), non-skin cancer, osteoarthritis, CVD (Cardiovascular Disease), hypertension and sleeping disorders.

Participants were assessed against the following scales: GDS (Geriatric Depression Scale); IADL (Instrumental Activities of Daily Living); GAI ( Geriatric Anxiety Inventory); PSQI (Pittsburgh Sleep Quality Inventory); ACE scores (Addenbrooke's Cognitive Examination III); ESS (daytime sleepiness) (Epworth Sleepiness Scale). Participants recorded subjective overnight sleep duration and time awake and nap frequency and duration over a 7 day period. Duration units are in minutes. Alcohol consumption and use of estrogen or benzodiazepines were also recorded. Objective data were collected using Fitbit activity trackers and the following calculated: Sleep efficiency (ratio of total sleep time to total time in bed X 100%); Lg10tACE (transformation of ACE scores); Sqsleepdurationsubj (TSTs 2 + TSTs - square of subjective sleep duration plus sleep duration); Sqsleepdurationobj (TSTo 2 + TSTo (square of objective sleep duration plus sleep duration)

Notes

This dataset consists of a data file in SPSS (.sav) and comma separated values formats (.csv)

Created: 16 10 2016

Data time period: 31 05 2015 to 30 11 2015

Click to explore relationships graph

146.84424369978,-19.306421622273 146.86303462461,-19.273228568016 146.87003854313,-19.236171431262 146.86456986298,-19.198876295361 146.84716389668,-19.164994931338 146.81952446149,-19.137846925761 146.7843570979,-19.120093573093 146.74510423248,-19.113475899581 146.70560820918,-19.118643021168 146.66973517397,-19.135088097611 146.64099662946,-19.161198342939 146.62220570462,-19.194414046955 146.6152017861,-19.231480606691 146.62067046625,-19.268768339522 146.63807643255,-19.302628302158 146.66571586774,-19.329749082654 146.70088323134,-19.347479785606 146.74013609676,-19.354088036165 146.77963212005,-19.348928317624 146.81550515526,-19.332504642524 146.84424369978,-19.306421622273

146.74262016462,-19.233781967873

text: Townsville, Queensland, Australia

Identifiers
  • Local : 1c604ed07082f55e772164773e77005d