Chinese expert consensus on prevention and intervention for the elderly with malnutrition (2022)

Mao, Yongjun; Wu, Jianqing; Liu, Gongxiang; Yu, Yao; Chen, Bo; Liu, Jia; Wang, Qianqian; Yu, Pulin; Zhang, Cuntai; Wu, Jiarui; Cao, Jianjun; Chen, Zheng; Cui, Hua; Dai, Shuiping; Deng, Lizong; Gao, Jinglong; Gao, Xuewen; He, Ping; Jin, Zhe; Lin, Kwei-Jay; Li, Fei-Ka; Li, Rui; Liu, Siyuan; Li, Yan; Liu, Ying; Ma, Lifang; Ma, Lina; Ma, Xunlong; Li, Mo; Ni, Xiushi; Pan, Huiyun; Mingzhao, Qin; Song, Juan; Song, Yujing; Sun, Xiaohong; Tang, Zhe; Tian, Fang; Tian, Yuan; Wang, Jiahe; Wang, Qing; Wang, Yuhong; Wang, Zhaohui; Wu, Fang; Hao, Xi Shan; Yang, Ming; Zhang, Shaomin; Zheng, Jin; Zhou, Baiyu

doi:10.1002/agm2.12226

Cited by 8 publications

(8 citation statements)

References 99 publications

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“…This cross-sectional study was conducted from June to November 2021 and the studied group consisted of 386 older adults from 17 nursing homes in Hunan Province, China. According to the 17.5% prevalence of malnutrition in Chinese nursing home residents [ 23 ], the minimum sample size required for this study was 226, at 5% significance, 80% power and 20% dropout rate, as assessed by University Dusseldorf G*Power 3.1 software. We divided Hunan province into five parts (east, west, south, north and central) according to geographic orientation, then randomly selected nursing homes from each of the five regions and recruited older people who met the criteria of the study.…”

Section: Methodsmentioning

confidence: 99%

“…In recent years, the nutritional status of older people in nursing homes has received worldwide attention. The results of multicenter prospective studies showed that the rates of malnutrition among older adults in hospitals, communities and nursing homes were 38.7%, 5.8% and 17.5%, respectively [ 22 , 23 ]. Considering the different participant selections (e.g., whether to include people with severe cognitive impairment) and screening or evaluation methods (e.g., questionnaire assessments, anthropometric measurements and body composition analysis), the prevalence of malnutrition among older adults in nursing homes varies and ranges from 8.2% to 30% [ 9 , 24 , 25 ].…”

Section: Introductionmentioning

confidence: 99%

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Nutritional Status and Sarcopenia in Nursing Home Residents: A Cross-Sectional Study

Hua

Zhang

Tan

et al. 2022

IJERPH

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Objective: This study aimed to assess the nutritional status and sarcopenia in older people living in nursing homes. Methods: This cross-sectional study enrolled 386 older adults in nursing homes in Hunan Province, China. Assessments included the Mini Nutritional Assessment Short Form for nutrition risk, Dietary Diversity Score for dietary diversity and Mini Mental State Examination for cognitive status. Sociodemographic (e.g., age, sex and educational level), health-related characteristics (e.g., food intake, self-care status and medication), body composition (e.g., body mass index [BMI], protein, body fat mass [BFM], percent body fat [PBF], skeletal muscle index [SMI] and total body water [TBW]) and anthropometric parameters data (e.g., calf circumference [CC], upper arm circumference [UAC], handgrip and gait speed) were also collected. Malnutrition and their associated risk were analyzed by multivariable Poisson regression analysis. Results: In total, 32.4% of participants (n = 125) were at risk of malnutrition and 49.7% (n = 192) suffered from sarcopenia. Nutritional status was positively associated with age (risk ratio [RR] = 1.03), sarcopenia (RR = 1.88), tooth loss affecting food intake (RR = 1.45), low self-care status (RR = 1.82) and moderate/inadequate dietary diversity (RR = 2.04) and negatively associated with one child (RR = 0.27), BMI (RR = 0.82), protein (RR = 0.76), BFM (RR = 0.91), PBF (RR = 0.94), SMI (RR = 0.65), TBW (RR = 0.94), CC (RR = 0.89) and UAC (RR = 0.86). Conclusions: Age, number of children, sarcopenia, food intake, self-care status, dietary diversity and body composition were associated with malnutrition among nursing home residents. For vulnerable groups, researchers should focus on raising the body composition indicators, such as BMI, protein, BFM, SMI and TBW and measuring CC and UAC for initial screening.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Nutritional Status and Sarcopenia in Nursing Home Residents: A Cross-Sectional Study

Hua

Zhang

Tan

et al. 2022

IJERPH

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“…This indicates that dietary interventions targeting the elderly population should take a comprehensive consideration of specific nutritional requirements associated with MCCs, personal dietary preferences, medication usage, and their degrading functions of chewing and tasting. In addition, more than 50% Chinese community-dwelling elders have limited nutrition literacy 15,16 , which hinders them to make informed food choices and achieve a well-rounded diet merely supported by meal services 17,18 .…”

Section: Background and Rationalementioning

confidence: 99%

“…Participants in the control group will receive intervention in the format of nutrition and health education based on Chinese geriatric nutrition guideline and consensus 26 . The learning objective of health education is to provide community-dwelling elders with essential knowledge about nutrition and geriatric health management.…”

Section: Usual Nutrition Support For the Control Groupmentioning

confidence: 99%

Effectiveness of personalized meal recommendation in improving dietary behaviors of Chinese community-dwelling elders: study protocol for a randomized controlled trial

Xu,

Sun

et al. 2023

Preprint

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Background: Inappropriate eating behaviors, particularly a lack of food diversity and poor diet quality, have a significant impact on the prognosis of certain chronic conditions and exacerbate these conditions in the community-dwelling elderly population. Current dietary interventions for the elderly have not adequately considered the nutritional needs associated with multiple chronic conditions and personal dietary preferences of elderly individuals. A personalized recommendation system has been recognized as a promising approach to address this gap. However, its effectiveness as a component of an elderly-targeted dietary intervention in real- world settings remains unknown. Additionally, it is unclear whether this intervention approach will be user-friendly for the elderly. Therefore, this study aims to examine the effectiveness of a personalized meal recommendation system designed to improve dietary behavior in community-dwelling elders. The implementation process in terms of System usability and satisfaction will also be assessed. Methods: The trial has been designed as a 6-month, non-blinded, parallel two-arm trial. 150 community-dwelling elders who meet the eligibility criteria will be enrolled. Subjects will be allocated to either the intervention group, receiving personalized meal recommendations and access to corresponding food provided as one component of the intervention, as well as health education on elder nutrition topics, or the control group, which will receive nutritional health education lectures. Outcomes will be measured at three time points: baseline at 0 months, 3 months, and 6 months. The primary outcomes will include dietary diversity (DDS) and diet quality (CDGI-E) of enrolled community-dwelling elders, representing their dietary behavior improvement, along with dietary behavior adherence to recommended meals. Secondary outcomes will measure the perceived acceptability and usability of the personalized meal recommendation system for the intervention group. Exploratory outcomes will include changes in the nutritional status and anthropometric measurements of the community-dwelling elders. Discussion: This study aims to examine the effectiveness, acceptability, and usability of a personalized meal recommendation system as a data-driven dietary intervention to benefit community-dwelling elders. The successful implementation will inform the future development and integration of digital health strategies in daily nutrition support for the elderly. Trial registration: Chinese Clinical Trial Registry ChiCTR2300074912. Registered on August 20, 2023, https://www.chictr.org.cn/showproj.html?proj=127583

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“…This indicates that dietary interventions targeting the elderly population should take a comprehensive consideration of specific nutritional requirements associated with MCCs, personal dietary preferences, medication usage, and their degrading functions of chewing and tasting. In addition, more than 50% of Chinese community-dwelling elders have limited nutrition literacy [ 13 , 14 ], which hinders them to make informed food choices and achieve a well-rounded diet merely supported by meal services [ 15 , 16 ].…”

Section: Introductionmentioning

confidence: 99%

Effectiveness of personalized meal recommendation in improving dietary behaviors of Chinese community-dwelling elders: study protocol for a cluster randomized controlled trial

Xu,

Sun

et al. 2024

Trials

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Background Inappropriate eating behaviors, particularly a lack of food diversity and poor diet quality, have a significant impact on the prognosis of certain chronic conditions and exacerbate these conditions in the community-dwelling elderly population. Current dietary interventions for the elderly have not adequately considered the nutritional needs associated with multiple chronic conditions and personal dietary preferences of elderly individuals. A personalized recommendation system has been recognized as a promising approach to address this gap. However, its effectiveness as a component of an elderly-targeted dietary intervention in real-world settings remains unknown. Additionally, it is unclear whether this intervention approach will be user-friendly for the elderly. Therefore, this study aims to examine the effectiveness of a personalized meal recommendation system designed to improve dietary behavior in community-dwelling elders. The implementation process in terms of System usability and satisfaction will also be assessed. Methods The trial has been designed as a 6-month, non-blinded, parallel two-arm trial. One hundred fifty community-dwelling elders who meet the eligibility criteria will be enrolled. Subjects will be allocated to either the intervention group, receiving personalized meal recommendations and access to corresponding food provided as one component of the intervention, as well as health education on elder nutrition topics, or the control group, which will receive nutritional health education lectures. Outcomes will be measured at three time points: baseline at 0 months, 3 months, and 6 months. The primary outcomes will include dietary diversity (DDS) and diet quality (CDGI-E) of enrolled community-dwelling elders, representing their dietary behavior improvement, along with dietary behavior adherence to recommended meals. Secondary outcomes will measure the perceived acceptability and usability of the personalized meal recommendation system for the intervention group. Exploratory outcomes will include changes in the nutritional status and anthropometric measurements of the community-dwelling elders. Discussion This study aims to examine the effectiveness, acceptability, and usability of a personalized meal recommendation system as a data-driven dietary intervention to benefit community-dwelling elders. The successful implementation will inform the future development and integration of digital health strategies in daily nutrition support for the elderly. Trial registration Chinese Clinical Trial Registry ChiCTR2300074912. Registered on August 20, 2023, https://www.chictr.org.cn/showproj.html?proj=127583

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Chinese expert consensus on prevention and intervention for the elderly with malnutrition (2022)

Cited by 8 publications

References 99 publications

Nutritional Status and Sarcopenia in Nursing Home Residents: A Cross-Sectional Study

Nutritional Status and Sarcopenia in Nursing Home Residents: A Cross-Sectional Study

Effectiveness of personalized meal recommendation in improving dietary behaviors of Chinese community-dwelling elders: study protocol for a randomized controlled trial

Effectiveness of personalized meal recommendation in improving dietary behaviors of Chinese community-dwelling elders: study protocol for a cluster randomized controlled trial

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