Investing in adult nutrition to reduce mobility problems in ageing population

Basrowi, Ray Wagiu; Koe, Levina Chandra; Sundjaya, Tonny

doi:10.25220/wnj.v04.i2.0003

Cited by 3 publications

(2 citation statements)

References 23 publications

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“…33 Similarly, inadequate fiber and iron intake were observed, impacting overall diet quality and variety. 34 These deficiencies align with national data on vitamin A, C, and calcium insufficiency 35 , signifying significant health concerns. 36 Insufficient potassium and magnesium intake among female users hold significance for metabolic syndrome, affecting cardiovascular health and glucose metabolism.…”

Section: Discussionmentioning

confidence: 81%

Nutrient-rich food index 9.3 score and food choice values among female online food delivery users during COVID-19 pandemic

Palupi,

Chandra,

Februhartanty

et al. 2024

World Nutr J

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Background: The COVID-19 pandemic has transformed eating habits, leading to an increased reliance on online food delivery. It's crucial to comprehend the diet quality and food choices among female users during this period. Objective: This study aims to explore the association between diet quality score and the food choice motives among female online food delivery users during the COVID-19 pandemic Methods: This online cross-sectional study involved surveying 405 female users recruited through consecutive sampling. The Food Choice Values Questionnaire (FCVQ) was utilized to understand their food choices, while nutrient intake and diet quality were assessed using the Nutrient-Rich Food 9.3 Index Score (NRF 9.3). Subsequently, the collected data underwent both univariate and multivariate analyses. Potential biases might arise due to time constraints during the pandemic and reliance on self-reported online data. Moreover, the method used to measure nutrient intake might not be ideal for this demographic, lacking tailored tests. Nonetheless, it’s important to highlight that the survey underwent prior validation among Indonesian adults, affirming its broad applicability. Results: Female users showed low average NRF 9.3 scores (241.67), indicating poor diet quality. Their prioritized food choice motives were also low. Significant associations surfaced between NRF 9.3 scores and food choice motives—tradition (p<0.01, r: 0.229), comfort (p<0.01, r: 0.223), organic (p<0.01, r: 0.231), safety (p<0.001, r: 0.162), weight control/health (p<0.01, r: 0.171), and income (p<0.05). Conclusion: The NRF 9.3 score is likely to increase when there are higher scores for tradition, comfort, and organic factors, and when income exceeds the minimum regional wage.

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Section: Discussionmentioning

confidence: 81%

Nutrient-rich food index 9.3 score and food choice values among female online food delivery users during COVID-19 pandemic

Palupi,

Chandra,

Februhartanty

et al. 2024

World Nutr J

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“…Households with an increasing level of economic welfare will consume more non-food than food, given that food demands are supplied adequately. Protein deficiency is one of the causes of the Indonesian population's poor nutritional state, which has a long-term effect on the quality of human resources [6][7][8]. According to the World Health Organization, a lack of protein consumption and dietary changes are two of the leading causes of malnutrition in Indonesia.…”

Section: Introductionmentioning

confidence: 99%

Food consumption pattern Far Away From Home as a source of household food protein in Indonesia

Anindita

Khoiriyah

Sa’diyah

2022

IOP Conf. Ser.: Earth Environ. Sci.

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The pattern of food consumption determines the level of household welfare, but for households with low income, the share of food expenditure is dominated by carbohydrate food. Protein foods are the second food consumed after carbohydrate staple foods. This study analyzes food consumption patterns away from home as a source of protein for households in Indonesia. The research data uses secondary data in the form of Susenas data in 2020 which covers of thirty-four provinces and the samples cover 334,127 households in total. The research data is in the form of total household expenditure data, data on the number of household members, consumption and expenditure data of FAFH as a source of household protein in Indonesia covering eight types of food, namely 1) soup namely soto, gule, sop, rawon 2) satay, tongseng 3) meatball noodles, chicken noodles 4) cooked fish 5) cooked chicken or meat 6) processed meat 7) chicken porridge, and 8) dumplings, batagor. The consumption preference model approach uses the Probit Model. The results showed that all FAFH foods had a high significant effect on FAFH consumption patterns. However, the household size variable shows a negative relationship. The higher the household size, the lower the possibility of consuming FAFH. The findings of this study demonstrate that, despite the COVID-19 pandemic, the intake of FAFH protein is increasing, albeit at a very slow rate. This also demonstrates that FAFH food is a source of protein for households in Indonesia.

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Evaluation Model of Human Resource Allocation Balance for Healthy Environment in Organizations Based on Big Data Driven and Internet of Things

Xu,

Wang,

Huang

et al. 2024

Journal of Testing and Evaluation

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To improve the ability of balanced evaluation, dynamic allocation, level of output, and profitability of human resources, a balanced evaluation model of human resources allocation is proposed based on big data driven and the Internet of Things. An evaluation architecture model of human resource allocation balance in view of big data driven and the Internet of Things is established; a multithread big data driven configuration model and the Internet of Things are used to construct a table model of enterprise human resource optimal allocation in the form of reports; statistical regression analysis method is used to detect the risks and process parameters in the process of enterprise human resource optimal allocation; and employment elasticity theory analysis is taken to establish a resource factor analysis model of human resource balanced allocation under the constraint of economic growth mode. According to the changing trend of the scale and structure of labor resources, statistical regression analysis is adopted to make big data driven analysis in the process of balanced evaluation of human resources allocation, and balanced game control is adopted to analyze the relevant factors affecting human resources allocation to realize balanced scheduling of population flow and human resources allocation and automatic post adjustment. The empirical analysis results show that the system has a good balance in human resource allocation, the output efficiency among the various elements of human resource allocation is improved, and there is a high level of efficiency in human resource output.

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Investing in adult nutrition to reduce mobility problems in ageing population

Cited by 3 publications

References 23 publications

Nutrient-rich food index 9.3 score and food choice values among female online food delivery users during COVID-19 pandemic

Nutrient-rich food index 9.3 score and food choice values among female online food delivery users during COVID-19 pandemic

Food consumption pattern Far Away From Home as a source of household food protein in Indonesia

Evaluation Model of Human Resource Allocation Balance for Healthy Environment in Organizations Based on Big Data Driven and Internet of Things

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