Correlation between estimated plasma remnant-like particle cholesterol and vegetable fat intake in Uku town, Japan

Abstract Background Remnant-like particle cholesterol (RLP-C) is highly atherogenic, which is associated with atherosclerosis. However, RLP-C has not been routinely measured in the clinical practice. We estimated RLP-C levels using conventional lipid profiles and examined the association between estimated RLP-C and related factors including nutrient intake. Methods This study was performed in Uku town, Nagasaki prefecture, Japan in 2019. A total of 225 subjects were enrolled and directly measured RLP-C levels. Estimated RLP-C levels were defined as the following formula [total cholesterol − (LDL-cholesterol) − (HDL-cholesterol)]. Multivariate analyses were used to assess the relationship between estimated RLP-C and atherogenic factors. We calculated cut-off values on dichotomized RLP-C (< 7.5 mg/dL vs. ≥ 7.5 mg/dL) by receiver operating characteristic (ROC) curve. Results The mean values of directly measured RLP-C levels and estimated RLP-C were 4.0 mg/dL and 16.4 mg/dL, respectively. In the multiple stepwise linear regression analysis, directly measured and estimated RLP-C levels were independently and commonly associated with apolipoprotein E, triglycerides, and vegetable fat intake (inversely). Using ROC curves, we found the cut-off value of estimated RLP-C was 22.0 mg/dL. Conclusion We demonstrated that the estimated RLP-C levels using conventional lipid profiles may substitute for directly measured RLP-C and these levels were independently and inversely associated with vegetable fat intake in the community-dwelling Japanese population.

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How landscape and climate affect the spatial variability of the Italian rainfall extremes? Some initial clues based on I2-RED

10.5194/egusphere-egu21-7159 ◽

2021 ◽

Author(s):

Paola Mazzoglio ◽

Ilaria Butera ◽

Pierluigi Claps

Keyword(s):

Spatial Variability ◽

Linear Regression Analysis ◽

Alpine Region ◽

Annual Rainfall ◽

Mean Values ◽

Rainfall Extremes ◽

Geomorphological Parameters ◽

The Mean ◽

The Relationship ◽

Italian Territory

The intensity and the spatial distribution of precipitation depths are known to be highly dependent on relief and geomorphological parameters. Complex environments like mountainous regions are prone to intense and frequent precipitation events, especially if located near the coastline. Although the link between the mean annual rainfall and geomorphological parameters has received substantial attention, few literature studies investigate the relationship between the sub-daily maximum annual rainfall depth and geographical or morphological landscape features. In this study, the mean of the rainfall extremes in Italy, recently revised in the so-called I2-RED dataset, are investigated in their spatial variability in comparison with some landscape and also some broad climatic characteristics. The database includes all sub-daily rainfall extremes recorded in Italy from 1916 until 2019 and this analysis considers their mean values (from 1 to 24 hours) in stations with at least 10 years of records, involving more than 3700 stations. The geo-morpho-climatic factors considered range from latitude, longitude and minimum distance from the coastline on the geographic side, to elevation, slope, openness and obstruction morphological indices, and also include an often-neglected robust climatological information, as the local mean annual rainfall. Obtained results highlight that the relationship between the annual maximum rainfall depths and the hydro-geomorphological parameters is not univocal over the entire Italian territory and over different time intervals. Considering the whole of Italy, the highest correlation is reached between the mean values of the 24-hours records and the mean annual precipitation (correlation coefficient greater than 0.75). This predominance remains also in sub-areas of the Italian territory (i.e., the Alpine region, the Apennines or the coastal areas) but correlation decreases as the time interval decreases, except for the Alpine region (0.73 for the 1-hour maximum). The other geomorphological parameters seem to act in conjunction, making it difficult to evaluate, with a simple linear regression analysis, their impact. As an example, the absolute value of the correlation coefficient between the elevation and the 1-hour extremes is greater than 0.35 for the Italian and the Alpine regions, while for the 24-hours interval it is greater than 0.35 over the coastal areas. To further investigate the spatial variability of the relationship between rainfall and elevation, a spatial linear regression analysis has been undertaken. Local linear relationships have been fitted in circles centered on any of the 0.5-km size pixels in Italy, with 1 to 30 km radius and at least 5 stations included. Results indicate the need of more comprehensive terrain analysis to better understand the causes of local increasing or decreasing relations, poorly described in the available literature.

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Association between objectively measured walking steps and sleep in community-dwelling older adults: A prospective cohort study

PLoS ONE ◽

10.1371/journal.pone.0243910 ◽

2020 ◽

Vol 15 (12) ◽

pp. e0243910

Author(s):

Noriyuki Kimura ◽

Yasuhiro Aso ◽

Kenichi Yabuuchi ◽

Etsuro Matsubara

Keyword(s):

Older Adults ◽

Sleep Disturbances ◽

Linear Regression Analysis ◽

Community Dwelling ◽

Sleep Efficiency ◽

Ageing Society ◽

Sleep Parameters ◽

Objectively Measured ◽

Community Dwelling Older Adults ◽

The Relationship

Physical inactivity and sleep disturbances are major problems in an ageing society. There is increasing evidence that physical activity is associated with sleep quality. However, the association between daily walking steps and sleep remain unclear. This prospective study examined the relationship between objectively measured daily walking steps and sleep parameters in Japanese community-dwelling older adults. In total, 855 community-dwelling individuals aged 65 and above, with an uninterrupted follow-up from August 2015 to March 2016, were enrolled. The participants wore a wristband sensor for an average of 7.8 days every three months. Multiple linear regression analysis was performed to examine the relationship between daily walking steps and sleep parameters, including the total sleep time, sleep efficiency, time awake after sleep onset (WASO), awakening time count during the night, and naptime. The median (interquartile range, IQR) age of the participants was 73 (69–78) years, with 317 (37.1%) men and 538 (62.9%) women. The median (IQR) educational level was 12 (11–12) years, and the median (IQR) Mini-Mental State Examination score was 29 (27–30) points. The number of daily walking steps showed a positive correlation with sleep efficiency and an inverse correlation with WASO, awakening time count, and naptime, after adjusting for covariates and correcting for the false discovery rate (β = 0.098, 95% confidence interval [CI]: 0.034 to 0.162, p = 0.003; β = −0.107, 95% CI: −0.172 to −0.043, p = 0.001; β = −0.105, 95% CI: −0.17 to −0.04, p = 0.002; and β = −0.31, 95% CI: −0.371 to −0.249, p < 0.001, respectively). Our results can help promote walking as an intervention for preventing sleep disturbances in community-dwelling older adults.

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Developing a model of the determinants of medication nonadherence in older community-dwelling patients

Annals of Behavioral Medicine ◽

10.1093/abm/kaz004 ◽

2019 ◽

Vol 53 (11) ◽

pp. 942-954 ◽

Cited By ~ 1

Author(s):

Affraic McLoughlin ◽

Kathleen Bennett ◽

Caitriona Cahir

Keyword(s):

Root Mean Square ◽

Direct Relationship ◽

Community Dwelling ◽

Mediating Effect ◽

World Health ◽

Mean Square ◽

Medication Nonadherence ◽

Related Factors ◽

Older Populations ◽

The Relationship

Abstract Medication nonadherence is associated with adverse health outcomes in older populations. The aim of this study was to develop a model that describes the relationship between the determinants of nonadherence, per the World Health Organization (WHO) model of nonadherence and the necessity–concerns framework (NCF) and nonadherence in a cohort of older community-dwelling patients. A retrospective cohort study of 855 community-dwelling patients aged ≥70 years from 15 practices. Medication nonadherence was assessed by (i) medication possession ratio (MPR < 80%) and (ii) the median MPR across all drugs dispensed. Patient questionnaires, interviews, and medical records measured the determinants of nonadherence per the WHO and NCF frameworks. Confirmatory factor analysis (CFA) was undertaken to generate the model of best fit. Two structural equation models (SEM) were developed to evaluate the relationship between the WHO factors, the NCF, and nonadherence (Model 1: MPR < 80%, Model 2: median MPR). The CFA produced a reasonable fit (χ2(113) = 203, p < .001; root mean square error of approximation = 0.03; comparative fit index = 0.98, and weighted root mean square residual = 0.97) and adequate internal consistency (r = .26–.40). SEM analysis (Model 1) showed a significant direct relationship between patient-related (β = 0.45, p < .01), socioeconomic (β = 0.20, p < .01), and therapy-related factors (β = −0.27, p < .01) and nonadherence (MPR < 80%). Similar results were found for Model 2 (median MPR). There was a significant direct relationship between medication concerns (β = −0.13, p < .01) and nonadherence. Therapy-related (β = −0.04, p < .05) and patient-related factors (β = −0.06, p < .05) also had a significant mediating effect on nonadherence through medication concerns. Health care professionals need to address medication concerns and management of adverse effects in older populations to improve adherence and clinical outcomes.

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Limitations in Physical Activities and Loneliness: The Role of Guilt for Perceiving Oneself as a Burden

Innovation in Aging ◽

10.1093/geroni/igab046.1763 ◽

2021 ◽

Vol 5 (Supplement_1) ◽

pp. 457-457

Author(s):

María del Sequeros Chaparro ◽

Isabel Cabrera ◽

Carlos Vara-García ◽

José Adrián Fernandes-Pires ◽

Samara Barrera-Caballero ◽

...

Keyword(s):

Older Adults ◽

Regression Analysis ◽

Daily Life ◽

Functional Limitations ◽

Linear Regression Analysis ◽

Physical Activities ◽

Community Dwelling ◽

Gender And Age ◽

The Relationship

Abstract Loneliness is a prevalent problem associated with negative health consequences for older adults, such as greater cognitive decline. Limitations to perform physical activities have been associated with greater loneliness in older adults. This association could be moderated by maladaptive social cognition or feelings, such as guilt associated with perceiving oneself as a burden. The objective of this study was to analyze the moderating effect of guilt associated with perceiving oneself as a burden in the relationship between limitations in physical activities and loneliness. Participants were 195 community-dwelling people 60 years or older not showing explicit cognitive or functional limitations that prevent activities of daily life, but who may present limitations in some physical activities (e.g., walking a kilometer or more). A linear regression analysis was conducted for testing the interaction between limitations in physical activities and guilt for perceiving oneself as a burden in loneliness, controlling for gender and age. The interaction between limitations in physical activities and guilt for perceiving oneself as a burden was the only significant predictor of loneliness and the model explained 18.30% of the variance. Limitations in physical activities influenced loneliness when people have high levels of guilt for perceiving oneself as a burden. This study suggests that guilt for perceiving oneself as a burden may play an important role in the association between limitations in some physical activities and loneliness.

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The relationship between demographic features, anthropometric parameters, sleep duration, and physical activity with ECG parameters in Fasa Persian cohort study

BMC Cardiovascular Disorders ◽

10.1186/s12872-021-02394-8 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Alireza Mirahmadizadeh ◽

Mojtaba Farjam ◽

Mehdi Sharafi ◽

Hossein Fatemian ◽

Maryam Kazemi ◽

...

Keyword(s):

Physical Activity ◽

Cohort Study ◽

Linear Regression ◽

Sleep Duration ◽

Linear Regression Analysis ◽

Previous History ◽

Multivariate Linear Regression Analysis ◽

Mean Values ◽

The Mean ◽

The Relationship

Abstract Backgrounds Cardiovascular Diseases (CVDs) are the first leading cause of death worldwide. The present study aimed to investigate the relationship between demographics, anthropometrics, sleep duration, physical activity, and ECG parameters in the Fasa Persian cohort study. Methods In this cross-sectional study, the basic information of 10,000 participants aged 35–70 years in the Fasa cohort study was used. The data used in this study included demographic data, main Electrocardiogram (ECG) parameters, anthropometric data, sleep duration, and physical activity. Data analysis was performed using t-test, chi-square, and linear regression model. Results Based on multivariate linear regression analysis results, increased age was significantly associated with all study parameters. Nevertheless, gender and body mass index showed no significant relationship with SV3 and PR. Wrist circumference, hip circumference and waist circumference significantly increased the mean values of the ECG parameters. However, sleep duration was not significantly associated with the ECG parameters. In addition, hypertension was major comorbidity, which was shown to increase the mean values of the ECG parameters. Conclusion Several factors affected the ECG parameters. Thus, to interpret ECGs, in addition to age and gender, anthropometric indices, physical activity, and previous history of comorbidities, such as hypertension and ischemic heart disease, should be taken into consideration.

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REGRESSION ANALYSIS OF ERRORS OF SAR-BASED DEMS AND CONTROLLING FACTORS

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xliii-b5-2021-51-2021 ◽

2021 ◽

Vol XLIII-B5-2021 ◽

pp. 51-57

Author(s):

Y. Y. Wu ◽

H. Ren

Keyword(s):

Regression Analysis ◽

Standard Error ◽

Surface Deformation ◽

Linear Regression Analysis ◽

Three Dimensional ◽

Related Factors ◽

Low Coherence ◽

Digital Elevation ◽

Sar Imagery ◽

The Relationship

Abstract. Interferometric Synthetic Aperture Radar (InSAR) has been well developed for several decades and is known for its powerful capability of retrieving three-dimensional ground information from SAR imagery. One of the most important application of InSAR technique is topographic mapping. The technique is limited when confronting certain poor conditions which lead to low coherence. In this research, we aim at investigating the relationship between SAR-based digital elevation models (DEMs) and related factors that contribute to the error budget by conducting a linear regression analysis. The surface deformation in line of sight (LOS) direction and the amount of integral refractivity change over two acquisition events are considered as two related factors. Eight pairs of Sentinel-1 images were selected to conduct InSAR processing over Chaiyi City of Taiwan, and SNAP software was used to generate SAR-based DEMs. The coherence mask was applied during the InSAR workflow in order to alleviate unwrapping error. The result has shown that the coherence thresholds help to improve the accuracy by up to 52.61%. Since some large errors were observed from the resulting InSAR-DEMs, these points were removed based on standard error. In regression analysis, there were 15 set of data, categorized by different coherence threshold and data removal standard, to test the model. As the result has shown, when the coherence threshold is 0.3 and the points were filtered with half standard error, the R2 can achieve 0.85. However, the rest of the dataset did not produce desirable results. In our discussion, we have provided several reasons which might have contributed to this outcome.

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Relationship between Fall History and Self-Perceived Motor Fitness in Community-Dwelling People: A Cross-Sectional Study

Journal of Clinical Medicine ◽

10.3390/jcm9113649 ◽

2020 ◽

Vol 9 (11) ◽

pp. 3649

Author(s):

Katsushi Yokoi ◽

Nobuyuki Miyai ◽

Miyoko Utsumi ◽

Sonomi Hattori ◽

Shigeki Kurasawa ◽

...

Keyword(s):

Multivariate Logistic Regression Analysis ◽

Cross Sectional Study ◽

Community Dwelling ◽

Sectional Study ◽

Related Factors ◽

Cross Sectional ◽

Fall Risk Factor ◽

Motor Fitness ◽

History Of ◽

The Relationship

History of falling is an important fall risk factor. If a relationship between fall history and self-perceived motor fitness could be established, then treating it as a correctable risk of re-fall due to falls may be possible. We conducted a cross-sectional study of the relationship between fall history and self-perceived motor fitness in daily life among 670 community-dwelling people (mean age 62.0 ± 9.6 years, 277 men and 393 women) who had participated in health examinations. They completed a self-administered questionnaire that asked about their history of single or multiple falls and included a 14-item motor fitness scale. The responses were analyzed using multivariate logistic regression analysis. The results showed that in both younger and older (<65 years) subjects, a history of single or multiple falls was associated with a negative response to “being able to put on socks, pants or a skirt while standing without support”. For subjects ≥65 years, an association was also observed with “shortness of breath when climbing stairs”. Self-perceived motor fitness related to fall history can easily be noticed by an individual and may help them become aware of fall-related factors earlier in everyday life.

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HDL-Cholesterol Subfractions in Healthy Males: Relation to Serum Triglyceride Levels and Age

Annals of Clinical Biochemistry International Journal of Laboratory Medicine ◽

10.1177/000456328602300503 ◽

1986 ◽

Vol 23 (5) ◽

pp. 504-508 ◽

Cited By ~ 3

Author(s):

G A A Ferns ◽

D Robinson ◽

J Stocks ◽

E Bevan ◽

P Williams ◽

...

Keyword(s):

Reference Values ◽

Negative Correlation ◽

Serum Triglyceride ◽

Hdl Cholesterol ◽

Precipitation Method ◽

Serum Triglycerides ◽

Mean Values ◽

The Relationship ◽

Differential Precipitation ◽

Healthy Males

The relationship between plasma HDL-cholesterol subfractions (HDL2 and HDL3), measured using a differential precipitation method, and serum triglycerides, was studied in 402 healthy Caucasion males attending a health screening centre in London. Mean values for HDL2 and HDL3 were 0·42± 0·24 mmol/L and 0·81±0·15 mmol/L respectively. HDL2 was found to show a stronger negative correlation with serum triglyceride and a stronger positive correlation with total HDL than HDL3. HDL2 also showed a stronger correlation with age than either total HDL or HDL3. Mean levels of HDL2 were 20% higher in subjects over 55 years of age compared with those who were less than 55 years of age. Reference values of HDL2 and HDL3 are presented for different age ranges.

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Personal values in adolescence and their associations with metabolic biomarkers in adulthood: a population-based study in Japan

10.21203/rs.3.rs-17741/v3 ◽

2020 ◽

Author(s):

Natsu Sasaki ◽

Kazuhiro Watanabe ◽

Norito Kawakami

Keyword(s):

Waist Circumference ◽

Personal Values ◽

Linear Regression Analysis ◽

Density Lipoprotein ◽

Hdl Cholesterol ◽

Multiple Linear Regression Analysis ◽

Population Based ◽

Metabolic Biomarkers ◽

Self Reporting Questionnaire ◽

The Relationship

Abstract Background: Personal values, which are formed in early life, can have an impact on the health outcome later in life. Objective: The aim of this study is to investigate the relationship between personal values in adolescence and bio-indicators related to metabolic syndrome (MetS) in adulthood.Participant and Methods: The longitudinal data was used from the Japanese Study on Stratification, Health, Income, and Neighborhood (J-SHINE) in 2012 and 2017. Personal values in adolescence were retrospectively obtained in 2017 from a self-reporting questionnaire, composed of value priorities and commitment to the values. Venous samples were collected in 2012 for low and high-density lipoprotein (LDL, HDL) cholesterol and hemoglobin A1c (HbA1c). Body mass index (BMI), waist circumference and systolic and diastolic blood pressure (SBP, DBP) were also measured. The associations of each variable were examined by partial correlation analysis. In addition, multiple linear regression analysis was conducted to examine overall associations between personal values and the sum of standardized scores (Z-score) of the biomarkers as a proxy of MetS. Results: The total population (n=668) included 261 men and 407 women. Among men, the personal value priority of “Having influence on society” was associated with high HDL cholesterol (partial r=0.13, p=0.032) and “Cherishing familiar people” with low waist circumference (r=-0.129, p=0.049), low SBP, and high DBP (r=-0.135, p=0.039; r=0.134, p=0.041). In women, “Not bothering others” was associated with high SBP and low DBP (r=0.125, p=0.015; r=-0.123, p=0.017). "Economically succeeding" were associated with worse outcome (β=0.162, p=0.042).Conclusions: Although some significant associations were found between personal values in adolescence and MetS-related markers in adulthood, overall associations were not strong. Culturally prevailing values were likely to be associated with a good outcome of metabolic health.

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Effects of Refractive Errors and Age on Binocular Function in Normal Adult Population

10.21203/rs.3.rs-125160/v1 ◽

2020 ◽

Author(s):

Xiaodong Zhou ◽

Man She ◽

Tao Li ◽

Qianqian Hu ◽

Jie Zhu

Keyword(s):

Adult Population ◽

Linear Regression Analysis ◽

Age Groups ◽

Normal Adult ◽

Comfort Zone ◽

Mean Values ◽

Binocular Function ◽

The Mean ◽

The Relationship ◽

Vision Function

Abstract Purpose: To investigate the relationship between binocular function with gender, ages, and spherical equivalent (SE) .Methods: This observational study enrolled 243 healthy, non-strabismic adults, including 94 men and 149 women aged from 20 to 59 years. The subjects were divided into three groups according to SE: myopic group, emmetropic group and hyperopic group. The subjects were also divided into four groups according to age: 20-29 years group, 30-39 years group, 40-49 years group, and 50-59 years group. The binocular vision function was measured with a synoptophore, including subjective angle (SA), divergence, convergence and fusional vergence range (FVR). Results: The mean values of SA, divergence, convergence and range of fusion for the whole sample group were 3.33±0.16°, 9.72±0.26°, 19.34±0.54°, and 29.06±0.62°, respectively. The mean values of SA and divergence in myopic group were significantly larger than the emmetropic group (both p<0.05). SE, SA, divergence and FVR were significantly different among age groups (all p<0.05). Besides, linear regression analysis showed SE was correlated with SA and divergence (p=0.007, p=0.003). Age was correlated with SE, SA, divergence and FVR (p<0.001, p<0.001, p=0.005, p=0.002, respectively). In addition, the proportion of SA being in comfort zone (defined as the value of SA located in the middle 1/3 area of FVR) in age groups were statistically different. (χ2=8.283, p=0.041)Conclusion: Both SA and motor fusion are associated with age and SE in normal adult population.

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