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Quality of Diet and Nutritional Intake and Mortality Risk among South Korean Adults Based on 12-year Follow-up Data

Quality of Diet and Nutritional Intake and Mortality Risk among South Korean Adults Based on 12-year Follow-up Data

Article information

Korean J Community Nutr. 2016;21(4):354-365
Publication date (electronic) : 2016 August 31
doi : https://doi.org/10.5720/kjcn.2016.21.4.354
Korea Institute for Health and Social Affairs, Korea.
Corresponding author: Hye-Ryun Kim. Korea Institute for Health and Social Affairs, Building D, 370 Sicheong-daero, Sejong-si, 30147, Republic of Korea. Tel: (044) 287-8206, Fax: (044) 287-8064, hrkim@kihasa.re.kr
Received 2016 July 01; Revised 2016 August 22; Accepted 2016 August 26.

Abstract

Objectives

Studies that reported the association between diet quality/nutritional intake status and mortality have rarely used long-term follow-up data in Asian countries, including Korea. This study investigated the association between the risk of mortality (all-cause and cause-specific) and the diet quality/nutritional intake status using follow-up 12-year mortality data from a nationally representative sample of South Koreans.

Methods

8,941 individuals who participated in 1998 and 2001 Korea Health and Nutrition Examination Surveys were linked to mortality data from death certificates. Of those individuals, 1,083 (12.1%) had died as of December, 2012. Cox proportional hazard models were used to estimate the relative risks of mortality according to the level of diet quality and intakes of major nutrients. Indicators for diet quality index and nutritional intake status were assessed using MAR (mean adequacy ratio) and energy and protein intake level compared with the 2010 Korean DRI.

Results

Higher diet quality/nutritional intake status were associated with lower mortality; the mortality risk (95% confidence interval) from all-cause of lowest MAR group vs highest was 1.66 (1.27 to 2.18) among ≥ 30 year old, and 1.98 (1.36 to 2.86) among 30~64 year old individuals. Those with below 75% of energy and protein intake of Korean DRI had higher mortality risks of all-cause mortality compared to the reference group. Diet quality/nutritional intake status was inversely associated with mortality from cardiovascular diseases and cancer.

Conclusions

Poor Diet quality/nutritional intake status were associated with a higher risk of mortality from all-cause and mortality from cardiovascular diseases and cancer among South Korean adults.

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Article information Continued

Table 1

Baseline characteristics of study subjects at the time of 1998 and 2001 KNHANS

Table 1

1) Excluding missing values

Table 2

Relative risks of mortality from all cause according to diet quality and major nutrients intake level, among ≥ 30 year old individuals

Table 2

1) Model 1 : Adjusted for age, sex and year of survey

2) Model 2 : Additionally adjusted for educational attainment, income level, smoking status, alcohol consumption, physical exercise

Table 3

Relative risks of age-specific mortality from all cause according to diet quality and major nutrients intake level

Table 3

1) Model 1 : Adjusted for age, sex and year of survey

2) Model 2 : Additionally adjusted for educational attainment, income level, smoking status, alcohol consumption, physical exercise

Table 4

Relative risks of mortality from cardiovascular diseases and cancer according to diet quality and major nutrients intake level among ≥ 30 year old individuals

Table 4

1) Excluding subjects with cancer at survey

2) Excluding subjects with cardiovascular diseases patients at survey

3) Model 1 : Adjusted for age, sex and year of survey

4) Model 2 : Additionally adjusted for educational attainment, income level, smoking status, alcohol consumption, physical exercise

Table 5

Relative risks of age-specific mortality from cardiovascular diseases and cancer according to diet quality and major nutrients intake levels

Table 5

1) Excluding subjects with cancer at survey

2) Excluding subjects with cardiovascular diseases patients at survey

3) Model 1 : Adjusted for age, sex and year of survey

4) Model 2 : Additionally adjusted for educational attainment, income level, smoking status, alcohol consumption, physical exercise