scholarly journals Trends in total fat and fatty acid intakes and chronic health conditions in Korean adults over 2007–2015

2019 ◽  
Vol 22 (8) ◽  
pp. 1341-1350 ◽  
Author(s):  
SuJin Song ◽  
Jae Eun Shim ◽  
Won O Song

AbstractObjectiveTo investigate trends in total fat and fatty acid intakes and chronic health conditions among Korean adults over nine years between 2007 and 2015.DesignCross-sectional, observational study using a stratified, multistage probability sampling design at a national level. Intakes of total fat and fatty acids were estimated from 24 h dietary recalls by sex and age groups. Trends of total fat and fatty acid intakes were determined by multiple linear regression after adjusting for covariates. Trends in age-standardized prevalence of obesity, hypercholesterolaemia and hypertriacylglycerolaemia were examined by sex.SettingKorea.ParticipantsPopulation data of 47749 healthy adults (aged ≥19 years) derived from the Korea National Health and Nutrition Examination Survey between 2007 and 2015.ResultsOver the survey period, daily intakes of energy and total, saturated, monounsaturated, polyunsaturated, n-3 and n-6 fats (grams and percentage of energy (%E)) increased steadily. In all sex and age groups, significant increases were seen in SFA intake from 9·9 g (4·7 %E) to 12·0 g (5·3 %E) and in MUFA intake from 9·9 g (4·6 %E) to 13·3 g (5·8 %E). The prevalence of hypercholesterolaemia increased from 10·7 to 17·9 % over the same period.ConclusionsIn Korean adults, total fat, SFA and other fatty acids have been increasing along with the prevalence of hypercholesterolaemia. This information can help set adequate macronutrient and fatty acid distribution ranges in developing population-specific preventive strategies against diet-related illness.

2021 ◽  
Author(s):  
Anyah Prasad ◽  
Edward Alan Miller ◽  
Jeffrey A Burr ◽  
Kathrin Boerner

Abstract Background and Objectives Health is a predictor of subjective age, and although inconclusive, the strength of this association is not uniform across different age groups. This study investigates if new diagnoses of chronic health conditions are associated with a change in subjective age and if chronological age moderates this relationship. Research Design and Methods Using data from the Health and Retirement Study, residualized change regression analysis was performed for a sample of 5,158 respondents older than 50 years to examine their subjective age in 2014 relative to that reported in 2010. The main predictor was the number of chronic health conditions newly diagnosed between 2010 and 2014. Chronological age in 2010 was the moderator. Results Results showed that each new diagnosis of a chronic health condition was significantly associated with a 0.68-year increase in subjective age reported in 2014, compared to subjective age reported in 2010. However, this increase in subjective age was attenuated by 0.05 years for each additional year in 2010 chronological age. Discussion and Implications According to Social and Temporal Comparison theories, people compare themselves to their age peers and earlier selves. Given expectations for better health at younger chronological ages, being diagnosed with chronic health conditions may have a stronger association with subjective age among middle-aged persons as compared to older persons. The findings suggest that subjective age may be used as a screening tool to predict how chronic disease diagnosis may influence peoples' sense of self, which in turn shapes future health.


2020 ◽  
Vol 17 (4) ◽  
pp. 509-520 ◽  
Author(s):  
Alina Schmitz ◽  
Patrick Lazarevič

AbstractWe provide a systematic country and age group comparison of the gender gap in several generic health indicators and more specific morbidity outcomes. Using data from the Survey of Health, Ageing and Retirement (SHARE), we examined the gender gap in the prevalence of poor self-rated health, chronic health conditions, activity limitations, multimorbidity, pain, heart attacks, diabetes, and depression in three age groups (50–64, 65–79, and 80+) based on linear probability models with and without adjustment for covariates. While women were typically disadvantaged regarding poor self-rated health, chronic health conditions, activity limitations, multimorbidity, pain, and depression, men had a higher prevalence of heart attacks and diabetes. However, the gender gap’s magnitude and sometimes even its direction varied considerably with some age trends apparent. Regarding some health indicators, the gender gap tended to be higher in Southern and Eastern Europe than in Western and Northern Europe. All in all, the presence of a gender health gap cannot be regarded as a universal finding as the gap tended to widen, narrow or even reverse with age depending on the indicator and country.


2005 ◽  
Author(s):  
Bruce Reeder ◽  
Karen Chad ◽  
Liz Harrison ◽  
Nigel Ashworth ◽  
Suzanne Sheppard ◽  
...  

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