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| ID | Type | Description | Link |
|---|---|---|---|
| 002097-MD |
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Departure of key research team members.
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| Name | Class |
|---|---|
| National Institute on Minority Health and Health Disparities (NIMHD) | NIH |
| National Institute of Nursing Research (NINR) | NIH |
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We are conducting a research study to learn about how individuals living in Washington, DC perceive and experience temperature.
Participation in this study will include:
2 remote visits over the phone and/or computer (these will each last about1.5 to 2 hours)
During the remote visits, you will be asked to respond to a series of surveys, so that we can learn about your life, behaviors, and health
2 weeks of data collection where you will be asked to:
Wear monitoring devices
Leave a temperature tracker near where you sleep to measure the temperature of your environment.
Use a phone app
Risks of participating in this study are minimal. They include the inconvenience of wearing the monitors and the possibility of a breach of your confidentiality. We are collecting personal information about you and the location monitor will collect information about where you spend your time. We will take every precaution in order to safeguard the data that you provide, including limiting who has access to it, storing it safely, and removing the capacity to identify you individually, as much as possible.
You will receive no immediate benefits from participating in this study. We hope what we learn will help us to develop policies and programs to help keep urban populations safe during increasingly warm summer temperatures.
You are eligible for this study if you are 18 years of age or older, live in Washington, DC, can read and write in English, and have access to a smartphone that you can use for the 2 week data collection period....
Study Description:
This pilot study will test measures for cardiometabolic behaviors and outcomes (e.g., physical activity, sedentary behavior, stress, sleep quality, sleep quantity) and individually experienced temperature with intensive longitudinal data collected via wearable devices and smart phone-based ecological momentary assessment. The primary hypothesis is that there are associations between individually experienced temperature and the identified behaviors and outcomes.
Objectives:
Primary:
To explore within and between-person associations between individually experienced temperature and cardiometabolic risk behaviors and outcomes.
Secondary:
Aim 1: Explore disparities in individually experienced temperature based on race, ethnicity, socioeconomic factors, sex, and age.
Aim 2: Explore multilevel determinants of individually experienced temperature: neighborhood environment (residential and activity space), home, workplace, and preferences
Endpoints:
Primary:
Secondary:
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Healthy Volunteers | Healthy Volunteers with home address in Washington, DC. |
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| Measure | Description | Time Frame |
|---|---|---|
| Physical Activity | Daily/Weekly Minutes MVPA (Moderate to Vigorous Physical Activity) as measured via waist-worn acceleromter | 2 weeks |
| Sedentary Behavior | Daily/Weekly Minutes Sedentary Behavior as measured via waist-worn accelerometer | 2 weeks |
| Stress/mental Well-being | Momentary/Daily Mean/Weekly Mean score on ecological momentary assessment random prompt questions derived from PSS-4 stress survey | 2 weeks |
| Sleep Quantity | Daily/Weekly Mean Hours Sleep collected via daily ecological momentary assessment morning prompt | 2 weeks |
| Sleep Quality | Daily/Weekly Mean Score derived from PSQI sleep survey collected via daily ecological momentary assessment morning prompt | 2 weeks |
| Measure | Description | Time Frame |
|---|---|---|
| Daily mean individually experienced temperature | average of all daily minute-epoch individual environmental temperature measures collected via iButton Hygrochron aggregated to (1) 24-hour days, (2) daylight only days, and (3) nighttime only days | 2 weeks |
| Daily maximum individually experienced temperature |
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In order to be eligible to participate in this study, an individual must meet all of the following criteria:
EXCLUSION CRITERIA:
An individual who meets any of the following criteria will be excluded from participation in this study:
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Adults 18 and over with home addresses located within Washington, DC.
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| Name | Affiliation | Role |
|---|---|---|
| Kelly K Jones | National Institute on Minority Health and Health Disparities (NIMHD) | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| National Institute on Minority Health and Health Disparities | Bethesda | Maryland | 20892-5465 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 29383535 | Background | Beyer KMM, Szabo A, Hoormann K, Stolley M. Time spent outdoors, activity levels, and chronic disease among American adults. J Behav Med. 2018 Aug;41(4):494-503. doi: 10.1007/s10865-018-9911-1. Epub 2018 Jan 30. | |
| 25856401 | Background | Tran Trong T, Riera F, Rinaldi K, Briki W, Hue O. Ingestion of a cold temperature/menthol beverage increases outdoor exercise performance in a hot, humid environment. PLoS One. 2015 Apr 9;10(4):e0123815. doi: 10.1371/journal.pone.0123815. eCollection 2015. |
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Aggregated, non-identifiable data will be submitted to a data repository as required by policy.
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| ID | Term |
|---|---|
| D009043 | Motor Activity |
| D000092862 | Psychological Well-Being |
| ID | Term |
|---|---|
| D001519 | Behavior |
| D010549 | Personal Satisfaction |
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highest measured minute-epoch individual environmental temperature collected via iButton Hygrochron for (1) 24-hour days, (2) daylight only days, and (3) nighttime only days |
| 2 weeks |
| Daily degree minutes above threshold | minutesXdegrees exceeding test thresholds ranging from 80F-105F collected via iButton Hygrochron for (1) 24-hour days, (2) daylight only days, and (3) nighttime only days | 2 weeks |
| Longest daily exposure period | minutes of longest daily period exceeding test thresholds ranging from 80F-105F collected via iButton Hygrochron for (1) 24-hour days, (2) daylight only days, and (3) nighttime only days | 2 weeks |
| 28796630 | Background | Kuras ER, Richardson MB, Calkins MM, Ebi KL, Hess JJ, Kintziger KW, Jagger MA, Middel A, Scott AA, Spector JT, Uejio CK, Vanos JK, Zaitchik BF, Gohlke JM, Hondula DM. Opportunities and Challenges for Personal Heat Exposure Research. Environ Health Perspect. 2017 Aug 1;125(8):085001. doi: 10.1289/EHP556. |
| 29290376 | Background | McGregor GR, Vanos JK. Heat: a primer for public health researchers. Public Health. 2018 Aug;161:138-146. doi: 10.1016/j.puhe.2017.11.005. Epub 2017 Dec 28. |
| 28187945 | Background | Song X, Wang S, Hu Y, Yue M, Zhang T, Liu Y, Tian J, Shang K. Impact of ambient temperature on morbidity and mortality: An overview of reviews. Sci Total Environ. 2017 May 15;586:241-254. doi: 10.1016/j.scitotenv.2017.01.212. Epub 2017 Feb 7. |
| 33089367 | Background | Waugh DW, He Z, Zaitchik B, Peng RD, Diette GB, Hansel NN, Matsui EC, Breysse PN, Breysse DH, Koehler K, Williams D, McCormack MC. Indoor heat exposure in Baltimore: does outdoor temperature matter? Int J Biometeorol. 2021 Apr;65(4):479-488. doi: 10.1007/s00484-020-02036-2. Epub 2020 Oct 21. |
| 22071034 | Background | White-Newsome JL, Sanchez BN, Jolliet O, Zhang Z, Parker EA, Dvonch JT, O'Neill MS. Climate change and health: indoor heat exposure in vulnerable populations. Environ Res. 2012 Jan;112:20-7. doi: 10.1016/j.envres.2011.10.008. Epub 2011 Nov 8. |
| 24366537 | Background | Xiang J, Bi P, Pisaniello D, Hansen A. Health impacts of workplace heat exposure: an epidemiological review. Ind Health. 2014;52(2):91-101. doi: 10.2486/indhealth.2012-0145. Epub 2013 Dec 21. |
| 33421789 | Background | Zuurbier M, van Loenhout JAF, le Grand A, Greven F, Duijm F, Hoek G. Street temperature and building characteristics as determinants of indoor heat exposure. Sci Total Environ. 2021 Apr 20;766:144376. doi: 10.1016/j.scitotenv.2020.144376. Epub 2020 Dec 26. |