지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2021.2
- 수록면
- 95 - 103 (9page)
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초록· 키워드
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Purpose: High intake of cholesterol leads to cardiovascular disruption. Estimating the actual intake of cholesterol can be beneficial for nutrition intervention. This research aimed to develop Semi-Quantitative Food Frequency Questionnaire (SQ-FFQ) to estimate cholesterol intake and analyze its reliability and validity.
Methods: SQ-FFQ was developed by sorting high cholesterol food items in Indonesian food database and food items" availability. A total of 30 older adults were randomly chosen from Public Health Center in Jagir District, Surabaya, Indonesia to test its validity. Reliability test was done by measuring the same developed SQ-FFQ in one-month period, while validity test was done by comparing SQ-FFQ results with 6-days food record. Statistical analysis used for reliability test was paired t-test, the Intra-class Correlation Coefficient (ICC), and Cronbach"s α to measure the internal consistency. Meanwhile, validity of developed SQ-FFQ was analyzed using paired t-test and Bland-Altman.
Results: Reliability of 2 administered SQ-FFQs showed a good agreement based on paired t-test analysis (p = 0.200), ICC (0.609), and Cronbach"s α (0.757). Strong agreement was found in most of food items, but agreements for egg yolk and fried duck were poor. Significant difference was found between those food items (p = 0.001 vs. p < 0.001, respectively) with mean difference were ?25.3 ㎎ and 46.2 ㎎. Validity of developed SQ-FFQ2 compared to 6-days food diary records also found a strong agreement based on paired t-test and the Bland-Altman analysis.
Conclusion: This baseline research provides a reasonably valid and repeatable measure of cholesterol intake estimation that can be widely used in nutrition and public health study, especially in Indonesia. No study has been conducted in Indonesia on the development of tools to estimate the cholesterol intake.
Methods: SQ-FFQ was developed by sorting high cholesterol food items in Indonesian food database and food items" availability. A total of 30 older adults were randomly chosen from Public Health Center in Jagir District, Surabaya, Indonesia to test its validity. Reliability test was done by measuring the same developed SQ-FFQ in one-month period, while validity test was done by comparing SQ-FFQ results with 6-days food record. Statistical analysis used for reliability test was paired t-test, the Intra-class Correlation Coefficient (ICC), and Cronbach"s α to measure the internal consistency. Meanwhile, validity of developed SQ-FFQ was analyzed using paired t-test and Bland-Altman.
Results: Reliability of 2 administered SQ-FFQs showed a good agreement based on paired t-test analysis (p = 0.200), ICC (0.609), and Cronbach"s α (0.757). Strong agreement was found in most of food items, but agreements for egg yolk and fried duck were poor. Significant difference was found between those food items (p = 0.001 vs. p < 0.001, respectively) with mean difference were ?25.3 ㎎ and 46.2 ㎎. Validity of developed SQ-FFQ2 compared to 6-days food diary records also found a strong agreement based on paired t-test and the Bland-Altman analysis.
Conclusion: This baseline research provides a reasonably valid and repeatable measure of cholesterol intake estimation that can be widely used in nutrition and public health study, especially in Indonesia. No study has been conducted in Indonesia on the development of tools to estimate the cholesterol intake.
목차
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
SUMMARY
REFERENCES
참고문헌 (26)
참고문헌 신청
United Nations Development Programme / Human development report 2019. The next frontier: human development and the anthropocene. Briefing note for countries on the 2020 human development report
Ministry of Health of Indonesia / 2017 / Indonesia health profile / Ministry of Health of Indonesia
The Central Bureau of Statistics / Statistic of elderly population 2019
World Health Organization / 2011 / Global status report on non-communicable diseases 2010 / World Health Organization
Ministry of Health of Indonesia / 2014 / Basic health research report 2013
Ministry of Health of Indonesia / 2017 / Indonesia health profile / Ministry of Health of Indonesia
The Central Bureau of Statistics / Statistic of elderly population 2019
World Health Organization / 2011 / Global status report on non-communicable diseases 2010 / World Health Organization
Ministry of Health of Indonesia / 2014 / Basic health research report 2013
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