Partial Regression Coefficients Research Articles

Breastfeeding and Children's Cognitive Development up to the Age of 4 Years: The Japan Environment and Children's Study.

Objective: Breastfeeding, depending on its duration, has been suggested to benefit children's cognitive development. We aimed to examine this issue by using the Japan Environment and Children's Study, a nationwide prospective birth cohort study. Methods: We evaluated the relationship between feeding methods and cognitive development in 2- and 4-year-old children. We classified the children based on the following feeding method during the first 6 months postpartum: (1) exclusive breastfeeding group, solely breastfeeding; (2) partial breastfeeding group, solely breastfeeding for ≤5 months and combination of breastfeeding/formula for the rest of months; (3) formula-fed group, solely formula feeding for ≥4 months; and (4) others. Cognitive development was assessed by trained testers using the Kyoto Scale of Psychological Development 2001. Results: Data on 1,329 boys and 1,398 girls were analyzed. Multiple regression analysis was performed using the exclusive breastfeeding group as the reference. Boys of age 2 years in the formula-fed group had significantly lower developmental quotients (DQs) in the language-social developmental (L-S) area (partial regression coefficient [B]: -4.624, p = 0.01), whereas no significant difference was observed in those of age 4 years. Girls of age 2 and 4 years in the formula-fed group had significantly lower L-S area DQ (B: -3.637, p = 0.03 and B: -3.414, p = 0.03, respectively). In the partial breastfeeding group, no significant differences in the L-S area DQ were observed in 2- and 4-year-old boys and girls. Conclusions: Exclusive breastfeeding for the first 6 months postpartum may be more beneficial for verbal cognitive development in 4-year-old girls than solely formula feeding for ≥4 months. Furthermore, breastfeeding combined with formula for the first 6 months postpartum may not have a disadvantage on cognitive development in boys and girls of age ≥ 2 years, when compared with that observed with exclusive breastfeeding during the first 6 months postpartum.

Endoscopic characteristics to differentiate SSLs and microvesicular hyperplastic polyps from goblet cell-rich hyperplastic polyps.

Background and study aims Among colorectal serrated polyps (SPs), sessile serrated lesions (SSLs) and hyperplastic polyps (HPs) have a similar endoscopic appearance. However, the endoscopic distinctions between those two categories, microvesicular HPs (MVHPs) and goblet cell-rich HPs (GCHPs), are not well understood. Therefore, we compared the endoscopic features of SSLs, MVHPs, and GCHPs. Methods This retrospective, cross-sectional study was conducted at the Toyoshima Endoscopy Clinic. We examined polyp size, location, Paris classification type, mucus cap, indistinct border, expanded crypt opening, varicose microvascular vessels, and JNET classification type. Multivariable analysis of each endoscopic finding using a binomial logistic regression model determined the factors that predicted SP histology. Results A total of 670 SPs were enrolled in this study, comprising 159 SSLs, 361 MVHPs, and 150 GCHPs. On comparing the SSL + MVHP group and the GCHP group, a mucus cap (partial regression coefficient 1.705), expanded crypt opening (1.828), and varicose microvascular vessels (1.270) were more often observed in the SSL + MVHP group compared with the GCHP group. In the comparison between MVHPs and GCHPs, a mucus cap (1.564), expanded crypt opening (1.802), and varicose microvascular vessels (1.288) were more often found in MVHPs in contrast to GCHPs. When comparing SSLs and MVHPs, SSLs were more likely to be in the proximal colon (0.662) and were larger (0.198) than the MVHPs. No significant differences were observed in other endoscopic findings. Conclusions SSLs and MVHPs have endoscopic appearances that differ from those of GCHPs. Considering MVHPs and GCHPs as distinct entities may aid in endoscopic diagnosis of SPs.

Serum amyloid A-low-density-lipoprotein complex and cause-specific mortality in patients with suspected or known coronary artery disease: The ANOX Study

Abstract Background Serum amyloid A-low-density-lipoprotein (SAA-LDL) is a complex formed from the oxidative interaction between SAA and LDLs. A relatively small-scale study has shown that circulating SAA-LDL levels may serve as a prognostic marker in patients with stable coronary artery disease (CAD). However, the association between SAA-LDL and cause-specific mortality in patients with suspected or known CAD is unknown. Methods Serum SAA-LDL levels were measured in 2416 patients with suspected or known CAD undergoing elective coronary angiography. The outcomes were all-cause death, cardiovascular (CV) death, non-CV death, cancer death, and other non-CV death. Patients were followed up over a 3-year period. Results During the follow-up, 254 (10.5%) deaths occurred, including 88 (3.6%) CV deaths, 151 (6.3%) non-CV deaths, 66 (2.7%) cancer deaths, 85 (3.5%) other non-CV deaths, and 15 (0.6%) undetermined deaths. Stepwise regression analysis including baseline data on potential clinical confounders and established CV biomarkers (i.e., N-terminal pro-brain natriuretic peptide, high-sensitivity cardiac troponin I, and high-sensitivity C-reactive protein [hs-CRP]) revealed that the strongest independent determinant of SAA-LDL levels was hs-CRP (partial regression coefficient, 0.248; standard error, 0.010; p<0.001). After adjusting for potential clinical confounders and established CV biomarkers, the highest quartile of SAA-LDL levels (vs. the lowest quartile) was significantly associated with all-cause death (adjusted hazard ratio [aHR], 1.56; 95% confidence interval [CI], 1.05–2.34) and non-CV death (aHR, 1.76; 95% CI, 1.02–3.11), but not with CV death (aHR, 1.16; 95% CI, 0.62–2.20), cancer death (aHR, 1.68; 95% CI, 0.71–4.34), or other non-CV death (aHR, 1.65; 95% CI, 0.82–3.45) in the entire cohort. In patients with low hs-CRP levels (≤1.0 mg/L, n=1253), the highest quartile of SAA-LDL levels was significantly associated with all-cause death (aHR, 2.19; 95% CI, 1.11–4.57), non-CV death (aHR, 2.78; 95% CI, 1.05–8.79), and cancer death (aHR, 4.65; 95% CI, 1.12–31.9), but not with CV death (aHR, 1.22; 95% CI, 0.39–3.92) or other non-CV death (aHR, 1.68; 95% CI, 0.42–8.35). In contrast, the highest quartile of SAA-LDL levels was not significantly associated with all-cause death (aHR, 1.18; 95% CI, 0.72–1.96), CV death (aHR, 1.02; 95% CI, 0.45–2.31), non-CV death (aHR, 1.46; 95% CI, 0.75–2.91), cancer death (aHR, 1.35; 95% CI, 0.43–4.58), or other non-CV death (aHR, 1.38; 95% CI, 0.60–3.25) in patients with high hs-CRP levels (>1.0 mg/L, n=1163). Conclusions Elevated SAA-LDL levels were independently associated with all-cause and non-CV mortality, but unexpectedly not with CV mortality, in patients with suspected or known CAD. These associations were pronounced in patients with low hs-CRP levels (≤1.0 mg/L). The association between the SAA-LDL level and cancer mortality suggests its predictive utility in patients with low hs-CRP levels (≤1.0 mg/L).

Determinants of Longitudinal Changes in Exercise Capacity in Patients with Independent Functioning on Hemodialysis.

Patients with chronic kidney disease reportedly have decreased muscle oxygen utilization, which most substantially decreases exercise capacity, followed by cardiac reserve. However, determinants of longitudinal changes in exercise capacity in patients on hemodialysis and the effects of long-term exercise interventions are unknown. This study was conducted to clarify these concerns. This was a prospective cohort study. Patients on hemodialysis that were not hospitalized were followed from baseline up to 2years, and cardiopulmonary exercise testing results, including peak oxygen uptake, peak work rate, heart rate reserve, and ventilatory equivalent for carbon dioxide slope, as well as implementation of exercise interventions were assessed. Based on the 2-year change in peak oxygen uptake, they were divided into improvement or declined groups. Forty-five patients who were not hospitalized completed the follow-up were analyzed. In the improvement group, the variation was determined by an increase in peak work rate, which is a peripheral factor (partial regression coefficient 0.08 [95% CI = 0.01 to 0.16]), while in the decline group, the variation was determined by a decrease in the ventilatory equivalent for carbon dioxide slope, which is a cardiac factor (partial regression coefficient = -0.12; 95% CI = -0.21 to -0.03). Moreover, exercise intervention was associated with the change in peak oxygen uptake (partial regression coefficient = 3.09; 95% CI = 1.45 to 4.72). Exercise intolerance even in patients on hemodialysis that were not hospitalized and stable progressed over time with deterioration of cardiac reserve, whereas exercise interventions were associated with improved exercise capacity through enhanced peripheral function. The results support the early measurement of cardiopulmonary or skeletal muscle reserve through cardiopulmonary exercise testing and the implementation of long-term exercise interventions based on the measurement results to address the potential deterioration in exercise capacity associated with reduced cardiac reserve, even in patients on hemodialysis that are asymptomatic and stable.

Assessment of Changes in Sensory Characteristics of Strawberries during 5-Day Storage through Correlation between Human Senses and Electronic Senses.

In the last decade, significant efforts have been made to predict sensory characteristics using electronic senses, such as the electronic nose (e-nose) and the electronic tongue (e-tongue), and discuss their relationship to the eating quality evaluated by human panels. This study was conducted (1) to characterize the aroma and taste profiles of strawberries over a 5-day storage period (4 °C) using both electronic senses and human panels and (2) to correlate the electronic sense data with human panel data. A total of 10 sensory attributes of strawberries, including 7 aroma and 3 taste attributes, were analyzed by a descriptive sensory panel (n = 16) over the five days. Although the human panel did not find significant differences in the intensities of the strawberry attributes over the five days, the intensity ratings showed an increasing or decreasing trend over the storage period. However, the e-nose and the e-tongue discriminated each of the storage days of the strawberry samples. Furthermore, the partial least square regression coefficients of determination (R2) indicated that the e-nose and the e-tongue were highly predictive in their evaluation of the intensities of all the descriptive sensory attributes. Lastly, the concentrations of furaneol, one of the key volatiles imparting a distinct ripe strawberry aroma, were determined using an e-nose to correlate with the intensities of aroma attributes evaluated by the panel. A significant positive Pearson's correlation coefficient was found with the intensities of overripe aroma. The findings indicate the potential of electronic senses to determine sensory characteristics and their excellent capability to predict the eating quality of strawberries.

Association of liver multi-parameter quantitative metrics determined by dual-layer spectral detector computed tomography (SDCT) with coronary plaque scores.

Hepatic steatosis is closely related to the occurrence and development of coronary plaques. Spectral detector computed tomography (SDCT) can provide more precise multiparameter quantitative parameters for hepatic steatosis. Hence, the purpose of this cross-sectional study was to explore the effect of quantitative liver metrics measured using SDCT on the extent and severity of coronary plaques. In patients who underwent upper abdomen unenhanced SDCT and coronary computed tomography angiography, plaque extent and severity were assessed using segmental involvement score (SIS) and segmental stenosis score (SSS). Liver fat quantification was evaluated by polychromatic and virtual mono-energetic images at 40 and 70 kev, spectral attenuation curve slope, and effective atomic number (CT40 keV, CT70 kev, λHU, and Zeff, respectively). A logistic regression model evaluated the factors influencing high SIS and SSS. Enrolled patients (n=644) were divided into groups: low SIS (<5) (n=451), high SIS (≥5) (n=193), low SSS (<5) (n=461), and high SSS (≥5) (n=183). Zeff was more closely correlated with SIS (standard partial regression coefficient =-0.422, P<0.001) and SSS (standard partial regression coefficient =-0.346, P<0.001). Zeff was divided into four groups using interquartile intervals. Compared with the patients in the lowest quartile, those in the second [odds ratio (OR) =2.116, 95% confidence interval (CI): 1.134-3.949, P=0.018], third (OR =2.832, 95% CI: 1.461-5.491, P=0.002), and fourth (OR =3.584, 95% CI: 1.857-6.918, P<0.001) quartiles showed higher risk for high SIS. And correspondingly, the second (OR =1.933, 95% CI: 1.040-3.592, P=0.037), third (OR =2.900, 95% CI: 1.499-5.609, P=0.002), and fourth (OR =3.368, 95% CI: 1.743-6.510, P<0.001) quartiles showed higher risk for high SSS, especially in those who were <60 years old, male and had visceral adipose tissue/subcutaneous adipose tissue <1.18. The SDCT-Zeff was an independent factor associated with high SIS and SSS. The quantification of liver fat may be useful for evaluating the risk and prognosis of coronary atherosclerosis.

The “vegetables first” dietary habit correlates with higher-level functional capacity in older adults with diabetes

BackgroundSome studies suggest that the habit of eating vegetables may initially be correlated with maintenance of a higher-level functional capacity; however, such a correlation has not been demonstrated. This study aimed to correlate the habit of eating vegetables first and higher-level functional capacity in older adults with diabetes.MethodsPatients aged ≥ 60 years who were treated at Japanese Red Cross Ise Hospital on an ambulatory basis were included in this study. A self-administered questionnaire using the Tokyo Metropolitan Institute of Gerontology Index of Competence (TMIG-IC) was used to evaluate higher-level functional capacity. Participants were instructed to answer the questionnaire regarding the order in which they consumed the mentioned food types, and based on their answers, they were classified into “no order of eating,” “carbohydrates first,” “protein first,” and “vegetables first” groups. Multiple regression analyses with the TMIG-IC score as a dependent variable and the order of eating as explanatory variables were used to determine the partial regression coefficients of the “vegetables first” dietary habit with higher-level functional capacity.ResultsThis study included 346 patients. The adjusted partial regression coefficients of the “carbohydrates first,” “protein first,” and “vegetables first” dietary habits with the TMIG-IC score were 0.27 (95% confidence interval [CI], − 0.29 to 0.84), 0.17 (95% CI, − 0.54 to 0.90), and 0.77 (95% CI, 0.23 to 1.31), respectively.ConclusionsThe habit of eating vegetables first was correlated with higher-level functional capacity in older adults with diabetes.

Inhibitory mechanism on tyrosinase activity of flavonoids from flower buds of Sophora japonica L

The flower buds of Sophora japonica L. (FBSJ) have long been applied as Traditional Chinese Medicine (TCM) and functional food in East Asia. In this study, extracts of FBSJ from 11 different locations were analyzed using the HPLC method to establish their HPLC fingerprints. By determining the IC50 on tyrosinase activity, it was discovered that the extract from Kunming, Yunnan Province exhibited the strongest inhibitory activity. Further analysis, including partial least squares regression coefficient analysis and grey correlation analysis, regarded kaempferol, isorhamnetin, and quercetin as the compounds with significant tyrosinase inhibitory activities. To understand the inhibition mechanism of tyrosinase activity, various analytical techniques such as enzymatic kinetic analysis, fluorescence quenching, circular dichroism (CD), molecular docking, and molecular dynamics simulation were employed. The results revealed that quercetin, isorhamnetin, and kaempferol exhibited higher inhibitory activity and binding energy compared with kojic acid, indicating their potential value as natural tyrosinase inhibitors. This research provides a solid theoretical foundation for studying the application and mechanism of flavonoids against tyrosinase in FBSJ.

Developing a prediction model for preoperative acute heart failure in elderly hip fracture patients: a retrospective analysis

BackgroundHip fractures in the elderly are a common traumatic injury. Due to factors such as age and underlying diseases, these patients exhibit a high incidence of acute heart failure prior to surgery, severely impacting surgical outcomes and prognosis.ObjectiveThis study aims to explore the potential risk factors for acute heart failure before surgery in elderly patients with hip fractures and to establish an effective clinical prediction model.MethodsThis study employed a retrospective cohort study design and collected baseline and preoperative variables of elderly patients with hip fractures. Strict inclusion and exclusion criteria were adopted to ensure sample consistency. Statistical analyses were carried out using SPSS 24.0 and R software. A prediction model was developed using least absolute shrinkage and selection operator (LASSO) regression and multivariate logistic regression. The accuracy of the model was evaluated by analyzing the area under the receiver operating characteristic (ROC) curve (AUC) and a calibration curve was plotted to assess the model’s calibration.ResultsBetween 2018 and 2019, 1962 elderly fracture patients were included in the study. After filtering, 1273 were analyzed. Approximately 25.7% of the patients experienced acute heart failure preoperatively. Through LASSO and logistic regression analyses, predictors for preoperative acute heart failure in elderly patients with hip fractures were identified as Gender was male (OR = 0.529, 95% CI: 0.381–0.734, P < 0.001), Age (OR = 1.760, 95% CI: 1.251–2.479, P = 0.001), Coronary Heart Disease (OR = 1.977, 95% CI: 1.454–2.687, P < 0.001), Chronic Obstructive Pulmonary Disease (COPD) (OR = 2.484, 95% CI: 1.154–5.346, P = 0.020), Complications (OR = 1.516, 95% CI: 1.033–2.226, P = 0.033), Anemia (OR = 2.668, 95% CI: 1.850–3.847, P < 0.001), and Hypoalbuminemia (OR 2.442, 95% CI: 1.682–3.544, P < 0.001). The linear prediction model of acute heart failure was Logit(P) = -2.167–0.637×partial regression coefficient for Gender was male + 0.566×partial regression coefficient for Age + 0.682×partial regression coefficient for Coronary heart disease + 0.910×partial regression coefficient for COPD + 0.416×partial regression coefficient for Complications + 0.981×partial regression coefficient for Anemia + 0.893×partial regression coefficient for Hypoalbuminemia, and the nomogram prediction model was established. The AUC of the predictive model was 0.763, indicating good predictive performance. Decision curve analysis revealed that the prediction model offers the greatest net benefit when the threshold probability ranges from 4 to 62%.ConclusionThe prediction model we developed exhibits excellent accuracy in predicting the onset of acute heart failure preoperatively in elderly patients with hip fractures. It could potentially serve as an effective and useful clinical tool for physicians in conducting clinical assessments and individualized treatments.

Clinical Application of CT Imaging Grading System in Upper Urinary Tract Calculi with Kidney Infection.

This study aimed to establish a CT imaging grading system and explore its value in evaluating upper urinary tract calculi associated with kidney infections. CT images of 126 patients with kidney infections caused by upper urinary tract calculi were retrospectively analyzed. The CT grading system was developed based on CT images. CT images were classified into 4 grades. General information, symptoms, and clinical findings of patients in different CT grades were analyzed. With the occurrence of systemic inflammatory response syndrome (SIRS) as the endpoint, univariate and multivariate analysis was conducted to analyze the risk factors of SIRS. Patients with fever or diabetes had higher CT grades, and the following examination data revealed significant differences across the various CT grades (P < 0.05): the white blood cell count, urine leucocytes count, CT1, CT2, maximum body temperature, duration of disease, the proportion of blood neutrophils, the size of stones, and levels of the C-reactive protein and procalcitonin. Only CT grading was statistically significant after multivariate analysis. According to the values of the partial regression coefficient (B), the higher the CT grade, the greater the risk of SIRS. The risk of SIRS was 4.472 times higher with each increment of the CT grade. The CT grade is directly associated with clinical symptoms and the risk of SIRS.

Association between physical function and parameters of hip structural analysis in patients with hip fracture.

The current study sought to investigate whether physical function and activity were associated with hip structural analysis (HSA) parameters on the non-fracture side of patients with hip fractures. Participants were patients with unilateral hip fracture treated by surgery. HSA of the proximal femur was conducted based on dual-energy x-ray absorptiometry data. HSA parameters in the narrow neck region included cross-sectional area (CSA), cross-sectional moment of inertia (CSMI), section modulus (SM), and buckling ratio (BR). Hierarchical multiple regression analysis was conducted to identify predictors of HSA. Except for the adjustment variables, age, gender and BMI, other variables were extracted. Hierarchical multiple regression analysis (standardised partial regression coefficients) identified movement control during one-leg standing on the non-fractured side (0.15) as factors associated with CSA. Hierarchical multiple regression analysis (standardised partial regression coefficients) identified hand grip (0.12, 0.23) as factors associated with CSMI and SM, respectively. Hierarchical multiple regression analysis (standardised partial regression coefficients) identified presence of steroid (0.23) and cerebrovascular disease (0.19) as factors associated with BR. The coefficients of determination adjusted for degrees of freedom (R2) were 0.545, 0.331, 0.401, and 0.148 for CSA, CSMI, SM, and BR, respectively. Our results indicate that movement control during 1-leg standing and muscle strength may be important for maintaining and improving bone strength.

Employee Performance Reviewed By The Perspective Of Employee Appreciation

This study aims to analyze employee performance in terms of compensation variables and career development in PDAM Tirta Giri Cirebon. This type of research uses a multiple regression analysis. 58 respondents were given questionnaires as part of the research methodology, which employed quantitative techniques and primary data. Multiple regression is employed in the analytical technique, along with hypothesis testing with statistical test t for testing partial regression coefficients and statistical test f for evaluating the effect concurrently at a 5% level of significance. The variables in this study are Career Development (X1), Compensation (X2) which is the perspective of employee appreciation and also the variable Employee Performance (Y). The results of this study show that there is a significant influence both simultaneously and partially between Career Development and Compensation on Performance.

Association between exposure to air pollution and arterial stiffness in participants with and without atherosclerotic cardiovascular disease.

To assess the association of air pollution exposure at different time scales with arterial stiffness in participants with and without atherosclerotic cardiovascular disease (ASCVD). We measured participants' arterial stiffness with brachial-ankle pulse wave velocity (baPWV) from October 2016 to January 2020. Concentrations of air pollutants including fine particles < 2.5μm aerodynamic diameter (PM2.5), inhalable particles < 10μm aerodynamic diameter (PM10), sulfur dioxide (SO2), nitrogen dioxide (NO2), carbon monoxide (CO), and ozone (O3) measured by fixed ambient air monitoring stations were collected for short- (7-day) and long-term (365-day) exposure assessment. We used generalized estimating equations (GEEs) to analyze and further explored the modification effects between ASCVD and air pollutants. Seven hundred sixty-five participants were finally included and four hunderd sixty (60.1%) participants had a history of ASCVD. Based on the partial regression coefficients (β) and 95% confidence intervals (95% CI) calculated from GEEs using linear regression, each 10μg/m3 increase in long-term exposure to PM2.5 and PM10 was associated with 31.85cm/s (95% CI, 17.97 to 45.73) and 35.93cm/s (95% CI, 21.01to50.84) increase in baPWV. There was no association between short-term exposure to air pollution and arterial stiffness. Although no significant interaction effect was observed between air pollution and ASCVD, baPWV showed a greater increment in the subgroup without ASCVD. Long-term exposure to air pollution is closely associated with higher arterial stiffness in participants with and without ASCVD. Reducing air pollution exposure is essential in the primary and secondary prevention of ASCVD.

Vagus nerve size determined via ultrasonography is associated with white matter lesions in patients with vascular risk factors

PurposeThe cross-sectional area (CSA) of the cervical vagus nerve (VN), as assessed through ultrasonography, might be linked to autonomic nervous system dysfunction. Hypertension is the primary factor associated with cerebral white matter lesions (WMLs), but there is also evidence of a connection with autonomic nervous system dysfunction. However, the associations between WMLs and VN size are unclear. Our objective was to investigate the associations between WMLs and VN size in patients with vascular risk factors.MethodsThe CSA of the VN was evaluated using carotid ultrasonography in patients with a history of stroke (acute or chronic) and comorbidities (n = 196, 70.2 ± 12.7 years). Common carotid artery (CCA) intima-media thickness and interadventitial diameter (IAD) were also measured. The severity of the WMLs was assessed by the Fazekas classification and Scheltens’ scale.ResultsThe CSA of the right VN (2.08 ± 0.65 mm2) was significantly greater than that of the CSA of the left VN (1.56 ± 0.44 mm2) (P < 0.001). Multiple linear regression analyses revealed that older age, hypertension, increased right CCA IAD, and decreased CSA of the right VN (standardized partial regression coefficient [β] − 0.226; P < 0.001) were independently associated with the severity of WMLs (Scheltens’ scale). A decreased CSA of the left VN was also associated with the severity of WMLs (β = − 0.239; P < 0.001).ConclusionVN size determined via ultrasonography was associated with the severity of WMLs. While these findings do not establish a causal relationship, they suggest that autonomic nervous system dysfunction is involved in the progression of WMLs.

The relationship between the dietary index based Meiji nutritional profiling system for adults and lifestyle-related diseases: a predictive validity study from the National Institute for Longevity Sciences-Longitudinal Study of Aging.

Nutritional profiling system (NPS) holds promise as a public health tool for companies to measure product healthiness and for individuals in making healthier food choices. The Meiji NPS for adults specifically targets lifestyle-related diseases prevalent among Japan's adult population, including overweight/obesity, hypertension, diabetes, and dyslipidemia. This study examined the cross-sectional association between the Meiji NPS for adults Dietary Index (MNfA-DI) and indicators of lifestyle-related diseases in a population. The study comprised 1,272 middle-aged individuals (40-64 years, 50.1% male) who participated in the seventh wave (2010-2012) of the National Institute for Longevity Sciences-Longitudinal Study of Aging project, with no missing data on three-day dietary records. The MNfA-DI was computed at the individual diet level (accounting for the whole diet) using arithmetic energy-weighted means. A higher MNfA-DI indicated a greater nutritional quality of an individual's overall diet. Lifestyle-related disease indicators included body mass index (BMI, kg/m2), body fat (%), systolic and diastolic blood pressure (mmHg), fasting plasma glucose (mg/dL), HbA1c (%), triglyceride levels (mg/dL), LDL, and HDL cholesterol levels (mg/dL). A multiple regression model was used to assess the association between the MNfA-DI and lifestyle-related disease indicators, adjusting for demographics, socioeconomic status, lifestyle factors, disease history, and energy intake as covariates, depending on the outcome. The median (interquartile range) age and MNfA-DI were 53.0 (46.0, 59.0) years and 10.1 (6.0, 14.0) points, respectively. MNfA-DI was negatively associated with body fat [partial regression coefficient (95% confidence interval) -0.04 (-0.07, -0.01)], diastolic blood pressure [-0.08 (-0.17, -0.002)], fasting plasma glucose [-0.18 (-0.33, -0.01)], and triglyceride [-1.36 (-2.16, -0.55)]. Additionally, MNfA-DI was also associated with almost indicators (except for LDL and HDL cholesterol) among participants with a BMI between 18.5 and 24.9 kg/m2. These findings suggest that the Meiji NPS for adults could be associated with a lower risk of lifestyle-related diseases. In addition, from a public health nutrition perspective, the Meiji NPS for adults may be useful to assess the food healthiness of the adult population.

A prospective cohort study in depression and anxiety among Vietnamese migrants in Japan during the early to mid-COVID-19 pandemic

IntroductionThe enduring COVID-19 pandemic has had persistent, intermittent socioeconomic impacts on migrants. This raises the concern that many Vietnamese migrants in Japan may have developed mental health issues due to the socioeconomic impact. The study aimed to examine changes in the socio-economic and mental health status of Vietnamese migrants in Japan and factors affecting mental health status during the early to mid-COVID-19 period.MethodsWe conducted a prospective cohort study among Vietnamese migrants in Japan from September to October 2021 (baseline) and from May to June 2022 (follow-up) using an online questionnaire. Multiple linear regression analyses were conducted to examine the association between changes in socioeconomic status and alterations in symptoms of depression and anxiety within this demographic.ResultsThe mean age of the 159 participants was 26.1 ± 4.9 years, with a mean length of residency in Japan of 4.0 ± 4.1 years. The mean PHQ-9 score exhibited a significant decrease from 7.89 (SD = 6.34) to 6.62 (SD = 5.87) (p = 0.01). Variables associated with changes in depression and anxiety included subjective socioeconomic status (unstandardized partial regression coefficient (UPRC): 1.901, 95% confidence interval (CI) 0.30 to 3.50, p = 0.02) and (UPRC: 2.060, 95% CI 0.80 to 3.32, p = 0.002), as well as changes in having someone with whom to discuss one’s health (UPRC: 2.689, 95% CI 0.89 to 4.49, p = 0.004) and (UPRC: 1.955, 95% CI 0.54 to 3.38, p = 0.007).ConclusionsIn this prospective cohort study of depression and anxiety, depressive symptoms among Vietnamese migrants decreased from 2021 to 2022. Key findings underscore the importance of socioeconomic status improvement and having someone to discuss to about their health as protective factors against mental health challenges. Employment and social support have emerged as crucial determinants of mental health among Vietnamese migrants in Japan, emphasizing the necessity for comprehensive support strategies addressing both economic vulnerabilities and social connectedness.

Pengaruh Indeks Pembangunan Manusia (IPM) Dan Pertumbuhan Usaha Kecil (Mikro) Terhadap Pertumbuhan Ekonomi Di Papua Tahun 2014-2023

This study aims to analyze the effect of the Human Development Index and (small) business growth on economic growth in 2014-2024. The independent variable is the influence of the Human Development Index and business growth (small). And the dependent variable is economic growth. This study uses secondary data in the form of a time series, namely a time series for 10 years, namely from 2014-2024. Data obtained from BPS Indonesia. The research method is quantitative with data analysis used by researchers, namely classical assumption tests (normality tests, multicollinearity tests, heteroscedasticity tests, autocorrelation tests), multiple linear regression and statistical tests (determination coefficient tests (R2), t tests and F tests) using eviews-10. The results of partial regression coefficient (t-test) show that the human development index has no effect on economic growth. While Small Business Growth (Micro) Significant effect on economic growth. The results of the F test analysis show that there is a joint and significant influence of the two independent variables, namely analyzing the influence of the Human Development Index and business growth (small) on the dependent variable, namely country growth.

Associations of Cardiometabolic Indices With Peptides Related to Hypertensive Disorders of Pregnancy in Adult Men.

Seven peptides with low molecular weights in blood have been identified as possible biomarkers of hypertensive disorders of pregnancy (HDP). A history of HDP is known to be associated with a high risk of cardiovascular disease in the later life of women with HDP. However, it remains to be determined whether HDP-related peptides are useful biomarkers of cardiovascular disease in the general population. The purpose of this study was to determine the relationships between these peptides and cardiometabolic risk in adult men. We investigated the relationships between HDP-related peptides and two recent indices of cardiometabolic risk, hematometabolic index (HMI)and lipid accumulation product (LAP), in male workers aged 35 to 69 years. Concentrations of the HDP-related seven peptides with mass/charge ratios (m/z) of 2081 (P-2081), 2091 (P-2091), 2127 (P-2127), 2209 (P-2209), 2378 (P-2378), 2858 (P-2858), and 3156 (P-3156) were measured simultaneously by using a mass spectrometer. Standardized partial regression coefficients (β) were obtained in multivariable linear regression analysis, and mean levels of the log-transformed HMI and LAP were compared in tertile groups of each peptide in the analysis of covariance with adjustment for age, habits of smoking and alcohol drinking, history of diabetes, and medication therapy for dyslipidemia. There was a significant positive correlation between the HMI and the serum level of P-2378 (β= 0.310), a fragment of complement component 4, while a significant inverse correlation (β= -0.389) was obtained between the LAP and the serum level of P-3156, a fragment of inter-α-trypsin inhibitor heavy chain H4. Other peptides (P-2081, P-2091, P-2127, P-2209, and P-2858) did not show significant correlations with the HMI or LAP. The log-transformed HMI tended to be higher with an increase in the tertile for P-2378. The mean level of log-transformed LAP in the first tertile group of P-3156 was significantly higher than those in the second and third tertile groups of P-3156. The HDP-related peptides with m/z of 2378 and m/z of 3156 were shown to be associated with the HMI and LAP, respectively, which are recent indices reflecting cardiometabolic risk. Therefore, the peptides with m/z of 2378 and m/z of 3156 were thought to be potential biomarkers for discrimination of cardiovascular risk in adult men. Further studies on the relationships between the peptides and cardiovascular risk factors in non-pregnant women are needed to confirm the findings of this study.

Amyloid and tau burden relate to longitudinal changes in the performance of complex everyday activities among cognitively unimpaired older adults: results from the performance-based Harvard Automated Phone Task.

Changes in everyday functioning constitute a clinically meaningful outcome, even in the early stages of Alzheimer's disease. Performance-based assessments of everyday functioning might help uncover these early changes. We aimed to investigate how changes over time in everyday functioning relate to tau and amyloid in cognitively unimpaired older adults. Seventy-six cognitively unimpaired participants (72 ± 6 years old, 61% female) completed multiple Harvard Automated Phone Task (APT) assessments over 2.0 ± 0.9 years. The Harvard APT consists of three tasks, performed through an automated phone system, in which participants refill a prescription (APT-Script), select a new primary care physician (APT-PCP), and transfer money to pay a bill (APT-Bank). Participants underwent Pittsburgh compound-B and flortaucipir positron emission tomography scans at baseline. We computed distribution volume ratios for a cortical amyloid aggregate and standardized uptake volume ratios for medial temporal and neocortical tau regions. In separate linear mixed models, baseline amyloid by time and tau by time interactions were used to predict longitudinal changes in performance on the Harvard APT tasks. Three-way amyloid by tau by time interactions were also investigated. Lastly, we examined associations between tau and change in Harvard APT scores in exploratory voxel-wise whole-brain analyses. All models were adjusted for age, sex, and education. Amyloid [unstandardized partial regression coefficient estimate (β) = -0.007, 95% confidence interval (95% CI) = (-0.013, -0.001)], and medial temporal tau [β = -0.013, 95% CI = (-0.022, -0.004)] were associated with change over time in years on APT-PCP only, i.e., higher baseline amyloid and higher baseline tau were associated with steeper rate of decline of APT-PCP. Voxel-wise analyses showed widespread associations between tau and change in APT-PCP scores over time. Even among cognitively unimpaired older adults, changes over time in the performance of cognitively complex everyday activities relate to cortical amyloid and widespread cerebral tau burden at baseline. These findings support the link between Alzheimer's disease pathology and function and highlight the importance of measuring everyday functioning in preclinical disease stages.

Construction of a Predictive Model for Diabetes Mellitus Type 2 in Middle-Aged and Elderly Populations Based on the Medical Checkup Data of National Basic Public Health Service

To establish a universally applicable logistic risk prediction model for diabetes mellitus type 2 (T2DM) in the middle-aged and elderly populations based on the results of a Meta-analysis, and to validate and confirm the efficacy of the model using the follow-up data of medical check-ups of National Basic Public Health Service. Cohort studies evaluating T2DM risks were identified in Chinese and English databases. The logistic model utilized Meta-combined effect values such as the odds ratio (OR) to derive β, the partial regression coefficient, of the logistic model. The Meta-combined incidence rate of T2DM was used to obtain the parameter α of the logistic model. Validation of the predictive performance of the model was conducted with the follow-up data of medical checkups of National Basic Public Health Service. The follow-up data came from a community health center in Chengdu and were collected between 2017 and 2022 from 7602 individuals who did not have T2DM at their baseline medical checkups done at the community health center. This community health center was located in an urban-rural fringe area with a large population of middle-aged and elderly people. A total of 40 cohort studies were included and 10 items covered in the medical checkups of National Basic Public Health Service were identified in the Meta-analysis as statistically significant risk factors for T2DM, including age, central obesity, smoking, physical inactivity, impaired fasting glucose, a reduced level of high-density lipoprotein cholesterol (HDL-C), hypertension, body mass index (BMI), triglyceride glucose (TYG) index, and a family history of diabetes, with the OR values and 95% confidence interval (CI) being 1.04 (1.03, 1.05), 1.55 (1.29, 1.88), 1.36 (1.11, 1.66), 1.26 (1.07, 1.49), 3.93 (2.94, 5.24), 1.14 (1.06, 1.23), 1.47 (1.34, 1.61), 1.11 (1.05, 1.18), 2.15 (1.75, 2.62), and 1.66 (1.55, 1.78), respectively, and the combined β values being 0.039, 0.438, 0.307, 0.231, 1.369, 0.131, 0.385, 0.104, 0.765, and 0.507, respectively. A total of 37 studies reported the incidence rate, with the combined incidence being 0.08 (0.07, 0.09) and the parameter α being -2.442 for the logistic model. The logistic risk prediction model constructed based on Meta-analysis was externally validated with the data of 7602 individuals who had medical checkups and were followed up for at least once. External validation results showed that the predictive model had an area under curve (AUC) of 0.794 (0.771, 0.816), accuracy of 74.5%, sensitivity of 71.0%, and specificity of 74.7% in the 7602 individuals. The T2DM risk prediction model based on Meta-analysis has good predictive performance and can be used as a practical tool for T2DM risk prediction in middle-aged and elderly populations.