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Cohort profile: The National Health Insurance Service-National Health Screening Cohort (NHIS-HEALS) in Korea

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TLDR
A cohort of participants who participated in health screening programmes provided by the NHIS in the Republic of Korea to offer relevant and useful data for health researchers, especially in the field of non-communicable diseases and health risk factors, and policy-maker.
Abstract
Purpose The National Health Insurance Service-Health Screening Cohort (NHIS-HEALS) is a cohort of participants who participated in health screening programmes provided by the NHIS in the Republic of Korea The NHIS constructed the NHIS-HEALS cohort database in 2015 The purpose of this cohort is to offer relevant and useful data for health researchers, especially in the field of non-communicable diseases and health risk factors, and policy-maker Participants To construct the NHIS-HEALS database, a sample cohort was first selected from the 2002 and 2003 health screening participants, who were aged between 40 and 79 in 2002 and followed up through 2013 This cohort included 514 866 health screening participants who comprised a random selection of 10% of all health screening participants in 2002 and 2003 Findings to date The age-standardised prevalence of anaemia, diabetes mellitus, hypertension, obesity, hypercholesterolaemia and abnormal urine protein were 98%, 82%, 356%, 27%, 142% and 20%, respectively The age-standardised mortality rate for the first 2 years (through 2004) was 4420 per 100 000 person-years, while the rate for 10 years (through 2012) was 8659 per 100 000 person-years The most common cause of death was malignant neoplasm in both sexes (3641 per 100 000 person-years for men, 1283 per 100 000 person-years for women) Future plans This database can be used to study the risk factors of non-communicable diseases and dental health problems, which are important health issues that have not yet been fully investigated The cohort will be maintained and continuously updated by the NHIS

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Citations
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Association of Concurrent Changes in Metabolic Health and Weight on Cardiovascular Disease Risk: A Nationally Representative Cohort Study.

TL;DR: Improving metabolic health along with reducing weight may lead to decreased risk of CVD, and improving metabolic health and obesity were associated with reduced CVD risk among initially metabolically unhealthy nonobese to secondary MHNO participants.
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Body mass index trajectories and the risk for Alzheimer's disease among older adults

TL;DR: In this paper, the effect of body mass index (BMI) changes and variability on the risk for Alzheimer's disease (AD) remains unclear, and the authors used Cox regression models to evaluate the relationship between 2-and 4-year BMI changes and the risk of AD.
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Association between dementia and depression: a retrospective study using the Korean National Health Insurance Service-National Sample Cohort database.

TL;DR: Depression is an associated factor for dementia, especially among people aged 45–64 years (mid-life) and female patients with depression and patients aged 45-64 years with depression had increased odds of dementia.
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Inverse Association between Statin Use and Stomach Cancer Incidence in Individuals with Hypercholesterolemia, from the 2002-2015 NHIS-HEALS Data.

TL;DR: There is an inverse association between statin use and stomach cancer incidence in participants with hypercholesterolemia, and the cumulative incidence rates of stomach cancer were lowest in high users.
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Why Not to Use Zero Imputation? Correcting Sparsity Bias in Training Neural Networks

TL;DR: A simple yet effective technique to handle missingness is proposed, which is referred to as Sparsity Normalization (SN), that directly targets and resolves the variable sparsity problem (VSP), which describes a phenomenon where the output of a predictive model largely varies with respect to the rate of missingness in the given input.
References
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Age standardization of rates: a new who standard

TL;DR: The World Health Organization (WHO) adopted a standard based on the average age-structure of those populations to be compared (the world) over the likely period of time that a new standard will be used (some 25-30 years), using the latest UN assessment for 1998 (UN Population Division, 1998) from these estimates, an average world population agestructure was constructed for the period 2000-2025 as discussed by the authors.
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Cohort Profile: The National Health Insurance Service–National Sample Cohort (NHIS-NSC), South Korea

TL;DR: Cohort Profile: The National Health Insurance Service–National Sample Cohort (NHIS-NSC), South Korea
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Fasting serum glucose level and cancer risk in korean men and women

TL;DR: In Korea, elevated fasting serum glucose levels and a diagnosis of diabetes are independent risk factors for several major cancers, and the risk tends to increase with an increased level offasting serum glucose.
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Data resource profile The national health information database of the national health insurance service in South Korea

TL;DR: Seong, Sang Cheol; Kim, Yeon-Yong; Khang, Young-ho; Park, Jong Heon; Kang, Hee-Jin; Lee, Heeyoung; Do, Cheol-Ho; Song, Jong-Sun; Bang, Ji Hyon; Ha, Seongjun;Lee, Eun-Joo; Shin, Soon Ae.
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Adherence to Antihypertensive Medications and Cardiovascular Morbidity Among Newly Diagnosed Hypertensive Patients

TL;DR: The long-term reduction of acute cardiovascular events associated with high adherence to antihypertensive treatment underscores its importance in assessments of the beneficial effects of evidence-based therapies in the population.
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