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Understanding the Impact of Neighborhood Type on Physical Activity in Older Adults

2019년 5월 24일 업데이트: Abby C King, Stanford University

Neighborhood Impact on Physical Activity in Older Adults

The purpose of this study is to investigate whether seniors living in neighborhoods that are conducive to walking are more physically active than those living in neighborhoods that are less conducive to walking.

연구 개요

상태

완전한

상세 설명

BACKGROUND:

Despite the recognized benefits of regular physical activity for older adults, people over the age of 65 remain among the most inactive groups of the U.S. population. Efforts to understand the factors influencing physical activity in this important group have been limited primarily to demographic and psychosocial domains. The importance of the neighborhood environment in influencing a host of health, behavioral, and psychosocial outcomes has been recognized. However, to date, no systematic investigation of the relationship between objective and subjective environmental factors and objectively measured physical activity levels among older adults has been undertaken.

DESIGN NARRATIVE:

This observational study will investigate whether seniors living in neighborhoods conducive to walking are more physically active, after adjusting for socioeconomic status (SES), than those living in neighborhoods less conducive to walking or other forms of physical activity for transportation or recreational purposes. Additional questions of interest concern the moderating effects of physical function and the proportion of seniors living nearby on the relationship between environment and physical activity. The study will take advantage of the sampling, recruitment, and data collection methods of an ongoing NIH-funded research project aimed at integrating public health and urban planning frameworks in studying the impacts of environmental factors on physical activity levels in younger adults. Population-based sampling methods will be used to recruit adults over 65 years of age who are living in more walkable versus less walkable neighborhoods of varying SES levels. Participants will be recruited from Seattle, Washington (n = 600) and Baltimore, Maryland (n = 600). In addition to objectively measured physical environment (using geographic information systems {GIS}) and physical activity levels (using accelerometry), self-reported neighborhood environment, physical activity, and quality of life variables of particular relevance to older adults will be assessed twice during a 12-month period.

연구 유형

관찰

등록 (실제)

896

연락처 및 위치

이 섹션에서는 연구를 수행하는 사람들의 연락처 정보와 이 연구가 수행되는 장소에 대한 정보를 제공합니다.

연구 장소

    • California
      • San Diego, California, 미국, 92103
        • San Diego State University
      • Stanford, California, 미국, 94305
        • Stanford University School of Medicine
    • British Columbia
      • Vancouver, British Columbia, 캐나다
        • University of British Columbia-Vancouver

참여기준

연구원은 적격성 기준이라는 특정 설명에 맞는 사람을 찾습니다. 이러한 기준의 몇 가지 예는 개인의 일반적인 건강 상태 또는 이전 치료입니다.

자격 기준

공부할 수 있는 나이

65년 이상 (고령자)

건강한 자원 봉사자를 받아들입니다

아니

연구 대상 성별

모두

샘플링 방법

비확률 샘플

연구 인구

Residents of selected block groups in King County, WA and the Baltimore region.

설명

Inclusion criteria:

  • Currently living in an apartment, condo, house, or assisted living facility
  • Able to walk more than 10 feet at a time
  • Able to speak and read English
  • Able to complete study surveys (with assistance if necessary)

Exclusion Criteria:

  • Not currently living in one of the areas in which the study will take place

공부 계획

이 섹션에서는 연구 설계 방법과 연구가 측정하는 내용을 포함하여 연구 계획에 대한 세부 정보를 제공합니다.

연구는 어떻게 설계됩니까?

디자인 세부사항

코호트 및 개입

그룹/코호트
Low Walkability/Low Income
Participants reside in a low walkability, low income neighborhood
Low Walkability/High Income
Participants reside in a low walkability, high income neighborhood
High Walkability/Low Income
Participants reside in a high walkability, low income neighborhood
High Walkability/High Income
Participants reside in a high walkability, high income neighborhood

연구는 무엇을 측정합니까?

주요 결과 측정

결과 측정
측정값 설명
기간
Physical Environment Factors Using Geographic Information Systems [GIS]
기간: at two time points, 6 months apart, which were averaged
Physical environment factors measured using GIS-derived measures of street connectivity, residential density, and mixed land use in participant block groups and a network buffer around each participant's home. A walkability index was created for a 500 meter street network buffer around participant homes. The walkability index was calculated for each census block group in the regions by summing the z-scores of four macro built environment measures: 1) net residential density, 2) intersection density, 3) retail floor to land area ratio (FAR), and 4) mixed use. A higher scores indicates higher walkability. The minimum value is -4.08 and the maximum value is 12.5.
at two time points, 6 months apart, which were averaged
Community Healthy Activities Model Program for Seniors (CHAMPS) Self-reported Walking for Errands
기간: Assessment at baseline and 6 months, with the data across these two time points averaged to increase outcome stability.
A self-report physical activity questionnaire that assesses weekly frequency and duration of various activities typically undertaken by midlife and older adults over the prior 4-week period. Self-reported walking for errands is one physical activity item assessed. The measure has been shown to have good test-retest reliability (stability) and construct and concurrent validity, and has been shown to be sensitive to change in a variety of adult populations. It has seven frequency categories (from less than 1 hour a week to 9 or more hours per week). The minimum value is 0 and the maximal value is variable. (See Stewart AL, Mills KM, King AC, et al. CHAMPS Physical Activity Questionnaire for Older Adults: Outcomes for Interventions. Med Sci Sports Exerc, 33:7, 1126-1141, 2001.)
Assessment at baseline and 6 months, with the data across these two time points averaged to increase outcome stability.
Accelerometer Measured Physical Activity
기간: Assessment at baseline and 6 months, with the data across these two time points averaged to increase outcome stability.
Ambulatory assessment of moderate-to-vigorous physical activity using a validated Actigraph accelerometer. Participants were instructed to wear the accelerometer during waking hours for seven days at each of the two measurement points. The accelerometer was placed over the right hip. Data were cleaned and scored using MeterPlus version 4.0 software.
Assessment at baseline and 6 months, with the data across these two time points averaged to increase outcome stability.
Neighborhood Environment for Walkability Survey (NEWS) - Walking and Cycling Facilities in Neighborhood
기간: Assessment at baseline and 6 months, with the data across these two time points averaged to increase outcome stability.
The scale is walking/cycling facilities which is a mean of 5 items. The minimum value is 1 and the maximum value is 4. Higher scores indicate an environment that is supportive of walking and cycling which is a better outcome.
Assessment at baseline and 6 months, with the data across these two time points averaged to increase outcome stability.
Neighborhood Environment for Walkability Survey (NEWS) - Land Use Mix Access
기간: Assessment at baseline and 6 months, with the data across these two time points averaged to increase outcome stability.
The scale is land use mix access which is a mean of 7 items. The minimum value is 1 and the maximum value is 4. Higher scores indicate easier access to services which is indicative of a high walkability environment (i.e., a better outcome).
Assessment at baseline and 6 months, with the data across these two time points averaged to increase outcome stability.

공동 작업자 및 조사자

여기에서 이 연구와 관련된 사람과 조직을 찾을 수 있습니다.

수사관

  • 수석 연구원: Abby King, Stanford University

간행물 및 유용한 링크

연구에 대한 정보 입력을 담당하는 사람이 자발적으로 이러한 간행물을 제공합니다. 이것은 연구와 관련된 모든 것에 관한 것일 수 있습니다.

연구 기록 날짜

이 날짜는 ClinicalTrials.gov에 대한 연구 기록 및 요약 결과 제출의 진행 상황을 추적합니다. 연구 기록 및 보고된 결과는 공개 웹사이트에 게시되기 전에 특정 품질 관리 기준을 충족하는지 확인하기 위해 국립 의학 도서관(NLM)에서 검토합니다.

연구 주요 날짜

연구 시작

2004년 9월 1일

기본 완료 (실제)

2009년 6월 1일

연구 완료 (실제)

2009년 6월 1일

연구 등록 날짜

최초 제출

2004년 10월 15일

QC 기준을 충족하는 최초 제출

2004년 10월 14일

처음 게시됨 (추정)

2004년 10월 15일

연구 기록 업데이트

마지막 업데이트 게시됨 (실제)

2019년 5월 28일

QC 기준을 충족하는 마지막 업데이트 제출

2019년 5월 24일

마지막으로 확인됨

2019년 5월 1일

추가 정보

이 연구와 관련된 용어

추가 관련 MeSH 약관

기타 연구 ID 번호

  • 1275
  • R01HL077141 (미국 NIH 보조금/계약)

이 정보는 변경 없이 clinicaltrials.gov 웹사이트에서 직접 가져온 것입니다. 귀하의 연구 세부 정보를 변경, 제거 또는 업데이트하도록 요청하는 경우 register@clinicaltrials.gov. 문의하십시오. 변경 사항이 clinicaltrials.gov에 구현되는 즉시 저희 웹사이트에도 자동으로 업데이트됩니다. .

심장 질환에 대한 임상 시험

3
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