- ICH GCP
- 미국 임상 시험 레지스트리
- 임상시험 NCT02719626
가정 배달 식사를받는 노인의 가정 식품 공급의 안전 및 영양 적절성 개선
Rutgers University는 MOWA(Meals on Wheels America) 및 5개 주의 제휴 기관과 협력하여 가정 배달 식사(HDM)를 받는 집에 있는 노인들 사이에서 식품 안전 영양 및 비상 대비를 개선하기 위해 고안된 연구를 수행할 것입니다. 이 인구는 고유한 생리학적 및 행동적 요인의 결과로 식인성 질병에 걸릴 위험이 증가하고 이동성이 부족하기 때문에 식품 시스템의 중단에 특히 취약합니다.
1,000명의 MOWA 집에 있는 노인 클라이언트를 대상으로 다중 방법 연구 접근 방식을 사용할 것입니다. 방법에는 고객의 집에 있는 모든 음식을 빠르고 포괄적으로 분류하는 새로운 UPC 스캐닝 기술의 사용, 가정 식품 안전 감사 및 대면 인터뷰가 포함됩니다.
이 연구의 목표는 이 위험에 처한 인구에 대한 고유한 식품 안전 위협에 대한 이해를 높이고, 알려진 식품 안전 위험 요소를 줄이는 쉽고 비용 효율적인 방법을 제안하고, 식품의 양과 유형에 대한 명확한 지침을 제공하는 것입니다. 긴급 상황에서 이 인구에게 가장 필요한 것. 연구 결과 및 권장 사항의 보급은 EDEN 및 MOWA와의 파트너십을 통해 수행되며 두 국가 모두 권장 사항에 따라 조치를 취할 준비가 된 국가 유권자가 있습니다.
연구 개요
상세 설명
집에서 집으로 배달되는 식사(HDM)를 받는 고령자는 식중독에 걸릴 위험이 높으며 특히 음식 배달이나 안전한 소비를 방해할 수 있는 혼란에 취약합니다. 또한 이 인구에 속한 사람들의 인지 및 신체 능력에는 상당한 변동성이 있을 뿐만 아니라 개인적으로나 지리적으로 다를 수 있는 재정 자원 및 사회적 지원에 대한 접근 범위가 다양합니다. 더욱이 이 사람들에게 서비스를 제공하는 기관은 중요한 작업을 수행하기 위해 자원봉사자의 시간과 기부에 크게 의존합니다. 따라서 이행을 보장하기 위해 이 집단 내에서 식품 안전 문제를 해결하기 위해 고안된 개입은 상대적으로 간단하고 효율적이며 비용 효율적이어야 합니다.
이러한 문제를 해결하기 위해 UPC(Universal Product Code) 스캐닝 기술을 동적으로 증가하는 식품 데이터베이스 및 관련 영양 매개변수와 통합하여 현존하는 가정 식품인 가정 내 식품 공급을 분류하는 다중 방법 연구 접근 방식이 사용됩니다. 연구 사용을 위해 수정된 안전 감사 양식 및 가정 내 인터뷰 중에 관리되는 컴퓨터 강화 설문지. 이 프로젝트는 위험에 처한 인구의 영양 및 식품 안전 격차에 대한 유용한 이해를 제공하여 HDM 및 집에 있는 노인이 이용할 수 있는 가정 식품의 식품 안전을 개선하기 위한 개입의 설계 및 테스트를 허용할 것입니다. . 또한 비상 상황에서 이 인구에게 가장 필요한 식량의 양과 유형에 대한 명확하고 유용한 지침을 제공할 것입니다. 결과 연구 결과 및 권장 사항의 보급은 EDEN(Extension Disaster Education Network) 및 MOWA와의 파트너십을 통해 이루어지며 두 기관 모두 권장 사항에 따라 조치를 취할 준비가 된 전국 유권자를 보유하고 있습니다.
5개 주(AR, CA, IA, NJ, SC)의 HDM 대행사는 주별 HDM 수신자 분석에서 확인된 HDM 클라이언트의 다양한 특성 때문에 의도적으로 선택됩니다. 의도적인 주 표본에는 MOWA 고령자 기아 주 순위의 4분위 각각에서 최소 1개가 포함되었으며 상위 5분위에 2개의 주가 포함되었습니다. 선택된 주는 또한 소수자 고객 비율 측면에서 범위를 나타냈으며 일부는 소수자 인구가 높고 일부는 매우 낮습니다. 마지막으로 농촌 고객의 비율은 한 주에서는 0에서 다른 주에서는 거의 70%에 이릅니다. 5개 기관 각각은 연구 조사관이 생성한 무작위 번호를 사용하여 클라이언트 목록에 있는 사람들로부터 추출한 200명의 적격 HDM 수신자로 연구 프로토콜을 완료하도록 요청받을 것입니다. 교체를 통한 샘플링은 200명의 참가자 할당량에 도달하거나 각 기관 내에서 적격 클라이언트를 추가로 모집할 수 없을 때까지 수행됩니다. 약 900,000명의 HDM 수혜자 모집단을 기준으로 ±3.1%의 전체 샘플링 오류율을 산출하기 위해 1000명의 HDM 수혜자의 전체 목표 샘플을 제공하기 위해 각 기관에 대해 200명의 대상자 대상 샘플 크기를 선택했습니다.
연구:
- 집에 있는 HDM을 받는 노인의 가정 음식 환경의 식품 안전 및 품질 매개변수를 분석하고 이 고위험 인구 구성원의 안전한 식품 취급 및 보관 관행에 대한 특정 장벽을 식별합니다. 냉장 식품은 40 °F 미만, 냉동 식품은 0 °F 미만으로 보관하기 위해 냉장고/냉동고 온도를 측정하고 필요에 따라 조정합니다.
- 집에 있는 HDM 노인 수혜자의 가정 식품 공급의 영양 밀도와 적절성을 평가하고, 이 인구가 결핍된 영양 영역을 식별하고 특히 비상 사태 동안 특정 보충 영양의 혜택을 받을 것입니다.
- 집에 있는 HDM 노인 수혜자의 식품 안전을 개선하기 위해 두 가지 개입이 제안됩니다. 냉장고/냉동고 온도를 확인하여 온도 준수/유지 관리를 결정하고 필요에 따라 조정합니다.
- 영양사, 비상 대비 전문가, MOWA 및 EDEN(Extension Disaster Education Network)과 협력하여 특히 집에만 있는 노인의 요구에 맞는 식품 안전 및 비상 대비 권장 사항을 개발하고 전파합니다. 비상식량 제공자, 가정배달 급식 제공자, 어르신을 위한 자료도 개발한다.
Rutgers는 MOWA(Meals on Wheels America) 및 5개 주의 선정된 MOWA 제휴 기관과 협력하여 집에 있는 HDM 노인 수혜자가 섭취하는 식품의 영양 및 안전을 개선하도록 설계된 이 취약한 인구에 대한 심층 연구를 수행하고 특히 비상 시에 이 인구의 중요한 영양 요구를 식별하고 해결함으로써 국가의 식량 방어 시스템을 강화합니다.
연구 유형
등록 (실제)
연락처 및 위치
연구 장소
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Arkansas
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Little Rock, Arkansas, 미국, 72119-5988
- CareLink
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California
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Los Angeles, California, 미국, 90057
- St. Vincent's Meals on Wheels
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Iowa
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Cedar Rapids, Iowa, 미국, 52404
- The Heritage Agency on Aging
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New Jersey
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Linden, New Jersey, 미국, 07036
- Linden Meals on Wheels
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New Brunswick, New Jersey, 미국, 08902
- Rutgers University
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South Carolina
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Greenville, South Carolina, 미국, 29605-1780
- Greenville Meals on Wheels
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Virginia
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Arlington, Virginia, 미국, 22202
- Meals on Wheels America
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참여기준
자격 기준
공부할 수 있는 나이
건강한 자원 봉사자를 받아들입니다
연구 대상 성별
샘플링 방법
연구 인구
설명
포함 기준:
- 60세 이상
- 혼자 사는
- 명백한 인지 장애 없음
- 자택 방문 전 최소 6개월 동안 가정 배달 식사 제공
제외 기준:
- 60세 미만
- 혼자 살지 않는다
- 명백한 인지 장애
- 가정방문일 기준 6개월 이내의 가정배달 식사
공부 계획
연구는 어떻게 설계됩니까?
디자인 세부사항
- 관찰 모델: 케이스 전용
- 시간 관점: 단면
연구는 무엇을 측정합니까?
주요 결과 측정
결과 측정 |
측정값 설명 |
기간 |
|---|---|---|
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식품 안전 주방 감사 점수
기간: 1일차
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각 가구에 대해 계산된 감사 질문에 대한 긍정적인 응답을 합산하여 7단계 가정 식품 안전 주방 감사 점수를 계산했습니다.
각 척도의 항목은 0에서 43까지의 총 점수에 대해 3-12 범위이며 모든 항목에 동일한 가중치가 부여되었습니다.
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1일차
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영양 적정 비율(NAR)
기간: 1일차
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가정영양적정률은 식품별 2,000kcal 식단의 1일 영양섭취량을 기준으로 영양가를 합산하여 산출하였다.
NAR은 1이 권장되고 >1이 권장보다 많고 <1이 부적절한 비율입니다.
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1일차
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2차 결과 측정
결과 측정 |
측정값 설명 |
기간 |
|---|---|---|
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영양 품질 점수(QS)
기간: 1일차
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가구 요약 영양 품질 점수는 6가지 권장 영양소에 대한 NAR을 합산하고 그 결과를 각 가정의 가정 식품 공급에서 비권장 영양소에 대한 NAR로 나누어 계산했습니다. 품질 점수는 1이 권장되고 >1이 권장보다 많고 <1이 부적절한 비율입니다. |
1일차
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공동 작업자 및 조사자
수사관
- 수석 연구원: William K Hallman, PhD, Department of Human Ecology, Rutgers the State University of New Jersey
- 수석 연구원: Carol Byrd-Bredbenner, PhD, RD, Department of Nutrition, Rutgers the State University of New Jersey
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