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141
Correlates of internalizing and externalizing problems among school‐going young adolescents in Sub‐Saharan Africa
Published 2025-07-01“…We used a 25‐item Strengths and Difficulties Questionnaire to measure internalizing, externalizing and cumulative problems. We carried out multi‐variable linear regression analyses with the estimation of adjusted mean differences and 95% confidence intervals, to determine the factors associated with internalizing, externalizing and cumulative problems. …”
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142
Health-promoting behavior and its determinants towards non-communicable diseases among adult residents of the Gedeo zone, South Ethiopia: the application of the health belief model
Published 2024-09-01“…The independent sample t-test and one-way ANOVA were used to compare two groups and more than two groups, respectively. Stepwise multiple linear regression analysis was used to identify the potential determinants of health-promoting behavior and its components. …”
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143
Association of obesity-related anthropometric indicators with chronic constipation and diarrhea among U.S. adults: a cross-sectional study
Published 2025-08-01“…The final analysis included 13,105 participants after excluding those aged < 20 years or with missing data for any study variables. Bowel habits were categorized using the Bristol Stool Form Scale (BSFS). …”
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144
Associations between patient characteristics and five-year trajectories of anticholinergic drug burden in older adults in German primary care: a prospective observational cohort st...
Published 2025-06-01“…We performed multilevel mixed-effects multivariable linear regression analyses.Results A total of 7068 observations were analysed during three follow-ups. …”
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145
Examining relationships between U.S. children's physical activity levels during recess, school days, and weekend days
Published 2025-07-01“…Chi-square and t-tests or Wilcoxon rank-sum tests and multi-level mixed effects generalized linear regression were used for non-normally distributed variables and accounting for repeated observations. …”
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146
Transcending borders: anthropometric insights and body image among Turkish immigrants in Germany and the Netherlands
Published 2024-12-01“…In addition to descriptive statistics, a principal component analysis (PCA) and a linear regression model were conducted. Results No statistical difference was found between the height of Turkish immigrants in Germany and the Netherlands, and those living in Turkey for males. …”
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147
HUBUNGAN ANTARA KOMUNIKASI INTERPERSONAL ORANG TUA DAN ANAK DENGAN RESILIENSI ONLINE ANAK SMP DI KOTA YOGYAKARTA
Published 2022-10-01“…The data analysis technique used descriptive analysis, assumption test (normality test and homogeneity test), and continued with hypothesis testing using Pearson product-moment correlation and simple linear regression test. The results showed: (1) There is a significant relationship between the interpersonal communication of parents and children with online resilience of junior high school children in Yogyakarta City with a correlation coefficient of 0.485 and a significance value of 0.000; (2) The relationship between interpersonal communication variables and online resilience of junior high school students in Yogyakarta has a positive direction; (3) Interpersonal communication between parents and junior high school children in Yogyakarta City is in the very high category with 49 child respondents (49%); (4) The majority of online resilience of junior high school children in Yogyakarta City is in the high category with 59 child respondents (59%); (5) Parent and child interpersonal communication variables have an influence level of 23,5% on the online resilience of junior high school children in Yogyakarta City. …”
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148
The impact of urban spatial configuration on carbon emissions: Towards spatial planning for low-carbon development
Published 2025-06-01“…This study systematically examines the impact of urban spatial configuration on carbon emissions across China's 2,470 county-level administrative units from 2007 to 2017. Leveraging a multi-scale spatial analysis framework and linear regression modeling, we reveal that spatial structure variables significantly enhance the explanatory power of traditional carbon emission models based on economic and demographic indicators. …”
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149
A cross-sectional study of age-related changes in the position of upper and lower lips relative to the esthetic plane
Published 2025-04-01“…These findings underscore the multi-phase, non-linear changes in lip position with age and highlight the critical role of age-specific considerations in orthodontic and orthognathic treatment planning. …”
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150
Exploring the pathways between depression, anxiety, stress, and quality of life on life satisfaction: a path analysis approach
Published 2024-12-01“…The relationship between QoL, depression, anxiety, and stress with life satisfaction was first evaluated using linear regression, subsequently by path analysis. …”
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151
Psychological distress and COVID-19 vaccine hesitancy among parents of in-school children after the end of the zero-COVID-19 policy: A city-wide survey in South China
Published 2025-12-01“…Information about demographic characteristics, health conditions for the children, parents’ psychological distress, and COVID-19 vaccine hesitancy was collected. Multi-variable logistic and linear regression models were applied to detect potential associations. …”
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152
Cadmium accumulation in wheat grain: Accumulation models and soil thresholds for safe production
Published 2025-06-01“…Correlation analyses and Partial Least Squares Path Model indicated that soil Cd, soil pH, and CEC together controlled the transfer of Cd from soil to wheat. Multiple linear regression models were successfully established using soil Cd contents or bioavailable Cd (extracted by CaCl2 or calculated using a multi-surface speciation model), pH, and CEC as input variables to predict wheat Cd (RMSE = 0.242–0.327, MAE = 0.188–0.249). …”
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153
Structure and microwave dielectric characteristics of (Ba,Sr,Ca)HfO3 ceramics
Published 2025-05-01“…Normalized ionic radii and the τf values of the end members were selected as independent variables, and τf was calculated by using multiple linear regression method. …”
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154
Clinical diagnostic and prognostic value of homocysteine combined with hemoglobin [f (Hcy-Hb)] in cardio-renal syndrome caused by primary acute myocardial infarction
Published 2025-07-01“…Additionally, LASSO regression analysis highlighted f (Hcy-Hb) as one of the 31 key variables influencing prognosis. …”
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155
The age at natural menopause of Chinese Han and Tibetan women
Published 2025-08-01“…The participants have resided in Chengdu City and Aba Prefecture, respectively, with ethnicity set as the primary exposure variable. Linear and multinomial logistic regression model was used to assess the association of the age at natural menopause with influencing factors and odds ratios for the association between premature ovarian failure, early and late menopause with the ethnicity, and influencing factors.ResultsThe mean age at natural menopause of Han women was 0.74 year earlier than Tibetan women (P = 0.003). …”
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156
The comprehensive relationship between combined anti-inflammatory and healthy diets and all-cause mortality in rheumatoid arthritis: results from NHANES 2003–2018
Published 2024-12-01“…Methods The analysis included 2,069 patients with RA from the National Health and Nutrition Examination Survey (NHANES) spanning 2003–2018. Weighted multi-variable Cox regression models estimated the relationship between the DII, HEI-2015, combined dietary patterns, and all-cause mortality in patients with RA. …”
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157
Can machine-learning algorithms improve upon classical palaeoenvironmental reconstruction models?
Published 2024-10-01“…To explore the relative merits of these two approaches, we have developed a two-layered machine-learning reconstruction model MEMLM (Multi Ensemble Machine Learning Model). The first layer applies three different ensemble machine-learning models (random forests, extra random trees, and LightGBM), trained on the modern taxon assemblage and associated environmental data to make reconstructions based on the three different models, while the second layer uses multiple linear regression to integrate these three reconstructions into a consensus reconstruction. …”
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158
Short-term air pollution exposure and risk of respiratory pathogen infections: an 11-year case-crossover study in Guangzhou, China
Published 2025-04-01“…Results The logistic regression model shows that PM2.5, NO2 and CO are included in the variable equation. …”
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159
Investigating Spatial Effects through Machine Learning and Leveraging Explainable AI for Child Malnutrition in Pakistan
Published 2024-09-01“…Firstly, OLS was used to analyse and test the linear relationships among selected variables. Secondly, Spatial Durbin Error Model (SDEM) was used to detect and capture the impact of spatial spillover on childhood stunting. …”
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160
The Influence of Socio-economic, Behavioural and Environmental Factors on Taenia spp. Transmission in Western Kenya: Evidence from a Cross-Sectional Survey in Humans and Pigs.
Published 2015-12-01“…These data were linked to questionnaire responses and environmental datasets. Multi-level regression was used to examine the relationships between covariates and human and porcine cysticercosis. …”
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