Association of cardiometabolic multimorbidity pattern with dietary factors among adults in South Korea

Abstract Backgrounds Globally, cardiometabolic multimorbidity pattern (CMP) is a complexed chronic health status which shorter the life expectancy compared with single disease in adults. We aimed to identify multimorbidity patterns in Korean adults to clarify the associations between dietary factors and CMP. Methods Nationally representative data for 9,011 Korean adults aged 19-64 years are obtained from the Korean National Health and Nutrition Examination Survey (KNHANES) from 2013-2015. Multimorbidity patterns for CMP, inflammatory disease, cancer and other disease pattern were identified by exploratory factor analysis. Dietary factors including food, nutrient intake and diet habits were evaluated. Multivariable-adjusted logistic regression models examined the associations between dietary factors and CMP. Results More than half of the multimorbidity pattern was CMP (n=4,907, 54.5%); CMP subjects were more likely to be older, male, less educated, lower income, laborers, smokers, and high-risk consumers of alcohol than those of non-CMP subjects. A higher intake of calcium (OR= 0.809, 95% CI= 0.691-0.945), potassium (OR= 0.838, 95% CI= 0.704-0.998), and fruits (OR= 0.841, 95% CI= 0.736-0.960) were inversely associated with the prevalence of CMP while the consumption of irregular meals (OR=1.164, 95% CI= 1.034-1.312) and skipping breakfast (OR=1.279, 95% CI= 1.078-1.518) were associated with a 16% and 28% higher likelihood of CMP, respectively. Conclusions CMP accounts for more than half of the multimorbidity patterns in Korean population, and lower intake of calcium, potassium, fruits, and skipping meals might have strong associations with CMP.

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Association of Cardiometabolic Multimorbidity Pattern with Dietary Factors among Adults in South Korea

Nutrients ◽

10.3390/nu12092730 ◽

2020 ◽

Vol 12 (9) ◽

pp. 2730

Author(s):

Dawoon Jeong ◽

Jieun Kim ◽

Hansongyi Lee ◽

Do-Yeon Kim ◽

Hyunjung Lim

Keyword(s):

Dietary Habits ◽

Dietary Factors ◽

Logistic Regression Models ◽

Korean Adults ◽

Disease Patterns ◽

Health And Nutrition ◽

Food And Nutrient Intake ◽

Nationally Representative ◽

Adjusted Logistic Regression ◽

Skipping Breakfast

Globally, cardiometabolic multimorbidity pattern (CMP) is a complex chronic health status that negatively effects the life expectancy of adults globally, even more than single diseases. We aimed to identify multimorbidity patterns in Korean adults to clarify the associations between dietary factors and CMP. Nationally representative data of 9011 Korean adults aged 19–64 years were obtained from the Korean National Health and Nutrition Examination Survey (KNHANES) from the period 2013 to 2015. Multimorbidity patterns for CMP, inflammatory disease, cancer and other disease patterns were identified by exploratory factor analysis. Dietary factors including food and nutrient intake and dietary habits were evaluated. Multivariable-adjusted logistic regression models examined the associations between dietary factors and CMP. More than half of the multimorbidity patterns were CMP (n = 4907, 54.5%); CMP subjects were more likely to be older, male, less educated, lower income, laborers, smokers, and high-risk consumers of alcohol than those of non-CMP subjects. A higher intake of calcium (OR = 0.809, 95% CI = 0.691–0.945), potassium (OR = 0.838, 95% CI = 0.704–0.998), and fruits (OR = 0.841, 95% CI = 0.736–0.960) were inversely associated with the prevalence of CMP, while the consumption of irregular meals (OR = 1.164, 95% CI = 1.034–1.312) and skipping breakfast (OR = 1.279, 95% CI = 1.078–1.518) was positively related to a 16% and 28% higher likelihood of CMP, respectively. CMP accounts for more than half of the multimorbidity patterns in the Korean population, and lower intake of calcium, potassium, fruits, and skipping meals have strong associations with CMP.

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Low HbA1c levels and all-cause or cardiovascular mortality among people without diabetes: the US National Health and Nutrition Examination Survey 1999–2015

International Journal of Epidemiology ◽

10.1093/ije/dyaa263 ◽

2020 ◽

Author(s):

Kosuke Inoue ◽

Roch Nianogo ◽

Donatello Telesca ◽

Atsushi Goto ◽

Vahe Khachadourian ◽

...

Keyword(s):

Cardiovascular Mortality ◽

Regression Models ◽

Machine Learning Algorithms ◽

Logistic Regression Models ◽

Health And Nutrition ◽

Increased Risk ◽

The Us ◽

All Cause Mortality ◽

Hba1c Levels

Abstract Objective It is unclear whether relatively low glycated haemoglobin (HbA1c) levels are beneficial or harmful for the long-term health outcomes among people without diabetes. We aimed to investigate the association between low HbA1c levels and mortality among the US general population. Methods This study includes a nationally representative sample of 39 453 US adults from the National Health and Nutrition Examination Surveys 1999–2014, linked to mortality data through 2015. We employed the parametric g-formula with pooled logistic regression models and the ensemble machine learning algorithms to estimate the time-varying risk of all-cause and cardiovascular mortality by HbA1c categories (low, 4.0 to <5.0%; mid-level, 5.0 to <5.7%; prediabetes, 5.7 to <6.5%; and diabetes, ≥6.5% or taking antidiabetic medication), adjusting for 72 potential confounders including demographic characteristics, lifestyle, biomarkers, comorbidities and medications. Results Over a median follow-up of 7.5 years, 5118 (13%) all-cause deaths, and 1116 (3%) cardiovascular deaths were observed. Logistic regression models and machine learning algorithms showed nearly identical predictive performance of death and risk estimates. Compared with mid-level HbA1c, low HbA1c was associated with a 30% (95% CI, 16 to 48) and a 12% (95% CI, 3 to 22) increased risk of all-cause mortality at 5 years and 10 years of follow-up, respectively. We found no evidence that low HbA1c levels were associated with cardiovascular mortality risk. The diabetes group, but not the prediabetes group, also showed an increased risk of all-cause mortality. Conclusions Using the US national database and adjusting for an extensive set of potential confounders with flexible modelling, we found that adults with low HbA1c were at increased risk of all-cause mortality. Further evaluation and careful monitoring of low HbA1c levels need to be considered.

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Sex Differences in the Association between Internet Usage and Overweight/Obesity: Evidence from a Nationally Representative Survey in Nepal

Sexes ◽

10.3390/sexes2010011 ◽

2021 ◽

Vol 2 (1) ◽

pp. 132-143

Author(s):

Juwel Rana ◽

Md. Momin Islam ◽

John Oldroyd ◽

Nandeeta Samad ◽

Rakibul Islam

Keyword(s):

Odds Ratio ◽

Regression Models ◽

Internet Use ◽

Adjusted Odds Ratio ◽

Internet Usage ◽

The Internet ◽

Logistic Regression Models ◽

Biological Sex ◽

Obesity Interventions ◽

Nationally Representative

Objective: To examine the associations between internet use and overweight/obesity in people aged 15–49 years in Nepal and the extent to which these associations differ by biological sex. Materials and methods: The study analyzed the nationally representative Nepal Demographic and Health Survey (NDHS) 2016 data. Multivariable ordinal logistic regression models were fitted to estimate the total effects of internet use (IU) in the last 12 months and frequency of internet use (FIU) in the last month on overweight/obesity adjusted for potential confounders. Results: Of the 10,380 participants, the prevalence of overweight/obesity by IU was 38% (95% confidence interval (CI): 35.9%, 40.1%) for males and 44.1% (95% CI: 41.6%, 46.6%) for female. The likelihood of overweight/obesity was significantly higher (adjusted odds ratio (aOR): 1.55; 95% CI: 1.40, 1.73; p < 0.001) among those participants who used the internet compared to the participants who did not use the internet in the last 12 months. Similar associations were observed when using the augmented measure of exposure-FIU in the last month. We observed the modification effect of sex in the associations of IU (p-difference < 0.001) and FIU (p-difference < 0.002) with overweight/obesity in Nepal. Conclusions: Our findings suggest that future overweight/obesity interventions in Nepal discourage unnecessary internet use, particularly among males.

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Abstract 17220: Risk Factors for Recurrent Peripartum Cardiomyopathy in 783 Women in California

Circulation ◽

10.1161/circ.138.suppl_1.17220 ◽

2018 ◽

Vol 138 (Suppl_1) ◽

Author(s):

Punag Divanji ◽

Gregory Nah ◽

Ian Harris ◽

Anu Agarwal ◽

Nisha I Parikh

Keyword(s):

Risk Factors ◽

Cardiovascular Disease ◽

Logistic Regression ◽

Regression Models ◽

Subsequent Pregnancy ◽

Peripartum Cardiomyopathy ◽

Lv Function ◽

Logistic Regression Models ◽

Grand Multiparity ◽

Adjusted Logistic Regression

Introduction: Characterized by significant left ventricular (LV) dysfunction and clinical heart failure (HF), peripartum cardiomyopathy (PPCM) has an incidence of approximately 1/2200 live births (0.04%). Prior studies estimate that approximately 25% of those with recovered LV function will have recurrent clinical PPCM during subsequent pregnancies, compared to 50% of those without recovered LV function. Specific predictors of recurrent PPCM have not been studied in cohorts with large numbers. Methods: From 2005-2011, we identified 1,872,227 pregnancies by International Classification of Diseases, 9th Revision (ICD-9) codes in the California Healthcare Cost and Utilization Project (HCUP) database, which captures over 95% of the California hospitalized population. Excluding 15,765 women with prior cardiovascular disease (myocardial infarction, coronary artery disease, stroke, HF, valve disease, or congenital heart disease), yielded n=1,856,462 women. Among women without prior cardiovascular disease, we identified index and subsequent pregnancies with PPCM to determine episodes of recurrent PPCM. We considered the following potential predictors of PPCM recurrence in both univariate and age-adjusted logistic regression models: age, race, hypertension, diabetes, smoking, obesity, chronic kidney disease, family history, pre-eclampsia, ectopic pregnancy, income, and insurance status. Results: In HCUP, n=783 women had pregnancies complicated by PPCM (mean age=30.8 years). Among these women, n=133 had a subsequent pregnancy (17%; mean age=28.1 years), with a mean follow-up of 4.34 years (±1.71 years). In this group of 133 subsequent pregnancies, n=14 (10.5%) were complicated by recurrent PPCM, with a mean time-to-event of 2.2 years (±1.89 years). Among the risk factors studied, the only univariate predictor of recurrent PPCM was grand multiparity, defined as ≥ 5 previous deliveries (odds ratio: 22; 95% confidence interval 4.43-118.22). The other predictors we studied were not significantly associated with recurrent PPCM in either univariate or multivariable models. Conclusion: In a large population database in California with 783 cases of PPCM over a 6-year period, 17% of women had a subsequent pregnancy, of which 10.5% had recurrent PPCM. In age-adjusted logistic regression models, grand multiparity was the only statistically significant predictor of recurrent PPCM.

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Association between Eating Away from Home and Hyperuricemia: A Population-Based Nationwide Cross-Sectional Study in China

BioMed Research International ◽

10.1155/2019/2792681 ◽

2019 ◽

Vol 2019 ◽

pp. 1-7 ◽

Cited By ~ 1

Author(s):

Zifeng Liu ◽

Xiaoting Su ◽

Mianli Xiao ◽

Peien Zhou ◽

Jianwei Guo ◽

...

Keyword(s):

Regression Models ◽

Population Based ◽

Cross Sectional Study ◽

Noncommunicable Diseases ◽

Sectional Study ◽

Nutrition Survey ◽

Cross Sectional ◽

Logistic Regression Models ◽

Health And Nutrition ◽

Home Food

Hyperuricemia (HU) is a risk factor for different kinds of chronic noncommunicable diseases, and eating away from home (EAFH) may play an important role in their development, which has been ignored greatly so far. This study aimed to investigate the association between EAFH and HU in different models. A cross-sectional study involving 8,322 participants of the China Health and Nutrition Survey (CHNS) was conducted. Logistic regression models were used to analyze the data. We found that participants who consumed more away-from-home food had a higher risk for HU, and the adjusted odds ratio (aOR) and 95% confidence interval (CI) (for each increment in grades of EAFH) were 1.11 (1.02, 1.20) in a multiadjusted model (adjusted for age, gender, province, net individual income, body mass index, smoking, leisure-time physical activities, energy intake, and sleep duration). As for stratified analyses, the aOR (95% CI) of EAFH was 1.12 (1.01, 1.24) for men and 1.06 (0.92, 1.21) for women. Similar results can be found in the middle-aged and obese population, with aOR (95% CI) of EAFH as 1.17 (1.05, 1.30) and 1.15 (1.03, 1.29), respectively. In conclusion, EAFH is positively associated with the prevalence of HU.

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Ultra-processed food consumption and the risk of short telomeres in an elderly population of the Seguimiento Universidad de Navarra (SUN) Project

American Journal of Clinical Nutrition ◽

10.1093/ajcn/nqaa075 ◽

2020 ◽

Vol 111 (6) ◽

pp. 1259-1266 ◽

Cited By ~ 1

Author(s):

Lucia Alonso-Pedrero ◽

Ana Ojeda-Rodríguez ◽

Miguel A Martínez-González ◽

Guillermo Zalba ◽

Maira Bes-Rastrollo ◽

...

Keyword(s):

Regression Models ◽

Elderly Population ◽

Cross Sectional Study ◽

Dietary Factors ◽

The Sun ◽

Processed Food ◽

Cross Sectional ◽

Logistic Regression Models ◽

High Consumption ◽

Sun Project

Abstract Background Telomere length (TL) is a marker of biological age that may be affected by dietary factors through oxidation and inflammation mechanisms. In addition, ultra-processed food (UPF) consumption has increased worldwide and it has been associated with the risk of developing several diseases. Objectives We aimed to evaluate the association between UPF consumption and the risk of having short telomeres in an elderly population of the Seguimiento Universidad de Navarra (SUN) Project. Methods This is a cross-sectional study of 886 participants (645 men and 241 women) aged 57–91 y recruited from the SUN Project (Spain, 1999–2018). TL was measured from saliva samples by real-time qPCR at baseline and UPF consumption was collected using a validated 136-item FFQ and classified according to the NOVA system. We evaluated the association between consumption of energy-adjusted UPF categorized into quartiles (low, medium-low, medium-high, and high consumption) and the risk of having short telomeres (<20th percentile) using logistic regression models. Results Those participants with the highest UPF consumption had almost twice the odds of having short telomeres compared with those with the lowest consumption (adjusted OR: 1.82; 95% CI: 1.05, 3.22; P-trend = 0.03). Conclusions A higher consumption of UPF (>3 servings/d) was associated with higher risk of having shorter telomeres in an elderly Spanish population of the SUN Project. This trial was registered at clinicaltrials.gov as NCT02669602.

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NEIGHBORHOOD AGE COMPOSITION AND SELF-RATED HEALTH: FINDINGS FROM A NATIONALLY REPRESENTATIVE STUDY

Innovation in Aging ◽

10.1093/geroni/igz038.247 ◽

2019 ◽

Vol 3 (Supplement_1) ◽

pp. S64-S64

Author(s):

Amanda Lehning ◽

Amanda J Lehning ◽

Nicole Mattocks ◽

Kyeongmo Kim ◽

Richard J Smith

Keyword(s):

Older Adults ◽

Regression Models ◽

Neighborhood Change ◽

Age Composition ◽

Logistic Regression Models ◽

Self Rated Health ◽

Representative Study ◽

Nationally Representative ◽

Using Data ◽

Conceptual Work

Abstract Neighborhood age composition is an understudied area. Furthermore, existing empirical and conceptual work is conflicting, with some indicating neighborhoods with more older adults are beneficial and other scholarship suggesting it can be detrimental. Using data from 7,197 older adults from the first wave (2011) of the National Health & Aging Trends Study combined with census tract data from the National Neighborhood Change Database, we examined the association between neighborhood age composition and self-rated health. Findings from logistic regression models indicate those living in neighborhoods with a growing concentration of older residents are significantly more likely to report lower self-rated health compared to those living in a neighborhood in which older adults overall are declining (β=1.51, p < .05) or are becoming diluted by younger residents (β=.66, p < .05). Results have implications for interventions promoting aging in place, particularly for those who may be stuck in place in age-concentrated neighborhoods.

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Nurse Burnout Revisited: A Comparison of Computational Methods

Journal of Nursing Measurement ◽

10.1891/1061-3749.27.1.e17 ◽

2019 ◽

Vol 27 (1) ◽

pp. E17-E33

Author(s):

Herica Silva Dutra ◽

Edinêis de Brito Guirardello ◽

Yin Li ◽

Jeannie P. Cimiotti

Keyword(s):

Job Satisfaction ◽

Regression Models ◽

Human Services ◽

Intent To Leave ◽

Maslach Burnout Inventory ◽

Logistic Regression Models ◽

Nurse Burnout ◽

Adjusted Logistic Regression ◽

Nursing Professionals ◽

Nurse Outcomes

Background and PurposeTo examine computational measures of job-related burnout to determine the best computation to estimate job satisfaction and intent to leave in Brazilian nursing professionals.MethodsMaslach Burnout Inventory-Human Services Survey (MBI-HSS) was used assess burnout in 452 hospital-based nursing professionals. Adjusted logistic regression models were fit using different computations of burnout to estimate outcomes of interest.ResultsTotal mean score of burnout subscales was the best estimate of job satisfaction (Cox-Snell R2 = 0.312; Nagelkerke R2 = 0.450) and intent to leave (Cox-Snell R2 = 0.156; Nagelkerke R2 = 0.300), as was high emotional exhaustion (Cox-Snell R2 = 0.219; Nagelkerke R2 = 0.316).ConclusionWe have provided evidence that different computations of data from the Portuguese (Brazil) MBI-HSS can be used in to estimate the effect of job-related burnout on nurse outcomes.

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The association of diabetes and BMI among Melanesian and Indian Fijians aged ≥ 40 years

British Journal Of Nutrition ◽

10.1017/s0007114510005258 ◽

2011 ◽

Vol 105 (10) ◽

pp. 1539-1545 ◽

Cited By ~ 1

Author(s):

Garry Brian ◽

Jacqueline Ramke ◽

Andrew Page ◽

Louise Maher ◽

John Szetu ◽

...

Keyword(s):

Regression Models ◽

Medical Practitioner ◽

Population Based ◽

Common Environment ◽

Logistic Regression Models ◽

Previous Diagnosis ◽

Males And Females ◽

Adjusted Logistic Regression ◽

Hb Concentration ◽

Population Based Survey

The present study examines the association of diabetes with BMI (kg/m2) in Asian-Indian and Melanesian Fijian populations sharing a common environment. A population-based survey was used to investigate the risk of diabetes (defined by glycosylated Hb concentration ≥ 6·5 % among participants who denied previous diagnosis of the disease by a medical practitioner) by sex, ethnicity and strata of BMI in a series of age-adjusted logistic regression models. Ethnicity and BMI interactions were compared using WHO and empirically derived BMI cut-off points. Indians had a greater risk (BMI and age adjusted) of undetected diabetes than Melanesians in both males (OR 2·99, 95 % CI 1·73, 5·17; P < 0·001) and females (OR 2·26, 95 % CI 1·56, 3·28; P < 0·001). BMI ≥ 25 to < 30 and ≥ 30 kg/m2 conferred a higher risk of diabetes compared with a BMI ≥ 18·5 to < 25 kg/m2. Risk was higher for males with a BMI ≥ 25 to < 30 kg/m2 (OR 2·35, 95 % CI 1·24, 4·46; P = 0·007) and BMI ≥ 30 kg/m2 (OR 6·08, 95 % CI 3·06, 12·07; P < 0·001) than for females with the same BMI (OR 1·85, 95 % CI 1·11, 3·08; P = 0·027 and OR 2·10, 95 % CI 1·28, 3·44; P = 0·002, respectively). However, the threshold that appeared to differentiate higher risk varied by ethnicity and sex. For Melanesians, BMI thresholds suggested were 25 kg/m2 for males and 32 kg/m2 for females. For Indo-Fijians, these were 24 and 22 kg/m2 for males and females, respectively. Disaggregating by ethnicity and sex, and applying specific evidence-based thresholds, may render BMI a more discriminating tool for assessing the risk of developing diabetes among Fiji adults.

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Anemia and iron deficiency in Mexican elderly population. Results from the Ensanut 2012

Salud Pública de México ◽

10.21149/spm.v57i5.7619 ◽

2015 ◽

Vol 57 (5) ◽

pp. 394 ◽

Cited By ~ 7

Author(s):

Alejandra Contreras-Manzano ◽

Vanessa De la Cruz ◽

Salvador Villalpando ◽

Rosario Rebollar ◽

Teresa Shamah-Levy

Keyword(s):

Iron Deficiency ◽

Regression Models ◽

Elderly Population ◽

The Elderly ◽

Serum Concentrations ◽

Nutrition Survey ◽

Logistic Regression Models ◽

Health And Nutrition ◽

Males And Females ◽

Prevalence Of Anemia

Objective. To describe de prevalence of iron deficiency (ID) and anemia in a sample of Mexican elderly population from the National Health and Nutrition Survey (Ensanut) 2012. Materials and methods. 1 920 subjects ≥60 years of age were included. Hemoglobin, serum concentrations of ferritin and CRP were measured. The risk for ID and anemia adjusted for potential confounders was assessed in logistic regression models. Results. The overall prevalence of anemia was 13.9%, 15.2% in males and 12.8% females. For ID,overall it was 4.2%, males 4.0% and females 4.3%. The greatest prevalence of ID was found in males and females over 80 years old (6.9 and 7.0%, respectively). ID was present in 1.5 of 10 Mexican elders with anemia. Conclusion. The prevalence of anemia was high in the elderly, however the prevalence of ID was low; there is a need to further investigate the causes of anemia in this age group.

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