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restricted cubic splines commands mkspline (STATA Corporation)

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STATA Corporation restricted cubic splines commands mkspline

Dose–response association between MVPA and FD. (A–C) shows the association between MVPA and FD among all participants (A) , non-frail older adults (B) , and frail older adults (C) , modeled by <t>restricted</t> <t>cubic</t> <t>splines.</t> MVPA and ST were mutually adjusted, as were baseline age, sex, district, living situation, marital status, education, equivalent income, body mass index, hypertension, dyslipidemia, heart disease, stroke, diabetes mellitus, cancer, alcohol drinking status, smoking status, lower back pain, knee pain, and frailty [in the stratified analyses (B,C) , frailty was excluded from covariates]. The reference value for MVPA was 0 METs■min/week. Solid lines indicate hazard ratios for FD. Dashed lines indicate 95% confidence intervals. FD = functional disability; METs = metabolic equivalent; MVPA = moderate-to-vigorous physical activity; ST = sedentary time.

Restricted Cubic Splines Commands Mkspline, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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restricted cubic splines commands mkspline - by Bioz Stars, 2026-09

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1) Product Images from "Dose–response associations between physical activity and sedentary time with functional disability in older adults with or without frailty: a prospective cohort study"

Article Title: Dose–response associations between physical activity and sedentary time with functional disability in older adults with or without frailty: a prospective cohort study

Journal: Frontiers in Public Health

doi: 10.3389/fpubh.2024.1357618

Figure Legend Snippet: Dose–response association between MVPA and FD. (A–C) shows the association between MVPA and FD among all participants (A) , non-frail older adults (B) , and frail older adults (C) , modeled by restricted cubic splines. MVPA and ST were mutually adjusted, as were baseline age, sex, district, living situation, marital status, education, equivalent income, body mass index, hypertension, dyslipidemia, heart disease, stroke, diabetes mellitus, cancer, alcohol drinking status, smoking status, lower back pain, knee pain, and frailty [in the stratified analyses (B,C) , frailty was excluded from covariates]. The reference value for MVPA was 0 METs■min/week. Solid lines indicate hazard ratios for FD. Dashed lines indicate 95% confidence intervals. FD = functional disability; METs = metabolic equivalent; MVPA = moderate-to-vigorous physical activity; ST = sedentary time.

Techniques Used: Functional Assay, Activity Assay

Dose–response association between ST and FD. (A-C) shows the association between ST and FD among all participants (A) , non-frail older adults (B) , and frail older adults (C) , modeled by restricted cubic splines. ST and MVPA were mutually adjusted, as well as baseline age, sex, district, living situation, marital status, education, equivalent income, body mass index, hypertension, dyslipidemia, heart disease, stroke, diabetes mellitus, cancer, alcohol drinking status, smoking status, lower back pain, knee pain, and frailty (in the stratified analyses (B,C) , frailty was excluded from covariates). The reference value for the ST was 300 min/day. Solid lines indicate hazard ratios for FD. Dashed lines indicate 95% confidence intervals. FD = functional disability; METs = metabolic equivalent; MVPA = moderate-to-vigorous physical activity; ST = sedentary time.

Figure Legend Snippet: Dose–response association between ST and FD. (A-C) shows the association between ST and FD among all participants (A) , non-frail older adults (B) , and frail older adults (C) , modeled by restricted cubic splines. ST and MVPA were mutually adjusted, as well as baseline age, sex, district, living situation, marital status, education, equivalent income, body mass index, hypertension, dyslipidemia, heart disease, stroke, diabetes mellitus, cancer, alcohol drinking status, smoking status, lower back pain, knee pain, and frailty (in the stratified analyses (B,C) , frailty was excluded from covariates). The reference value for the ST was 300 min/day. Solid lines indicate hazard ratios for FD. Dashed lines indicate 95% confidence intervals. FD = functional disability; METs = metabolic equivalent; MVPA = moderate-to-vigorous physical activity; ST = sedentary time.

Techniques Used: Functional Assay, Activity Assay

other:

Article Title: Association of dietary inflammatory index and the SARS-CoV-2 infection incidence, severity and mortality of COVID-19: a systematic review and dose-response meta-analysis
Article Snippet: We applied the ‘glst’ command and a random-effect four knots cubic spline (non-linear) model in STATA software to do a conservative dose-response analysis [ , ].

Article Title: Effects of temperature and humidity on cerebrovascular disease hospitalization in a super- aging society
Article Snippet: Linearity was checked for continuous and categorical variables using STATA multivariate regression spline (MVRS) command.

Article Title: Association of PM 2.5 exposure with hospitalization for cardiovascular disease in elderly individuals in Japan
Article Snippet: Charlson comorbidity index, median (IQR) 1.0 (1.0–2.0) 1.0 (1.0–2.0) < .001 Hospital stay, days (median [IQR]) 12.0 (5.0–22.0) 13.0 (6.0–23.0) < .001 Direct costs, yen (median [IQR]) 767,041 (350,536–1,556,170) 747,415 (348,377–1,500,000) < .001 IQR, interquartile range All (n=835,405) Multilevel, mixed-effects Poisson regressiona Prevalence ratio (95% CI)b p PM2.5 (continuous valuesc) PM2.5 (<8.52) 1.00618 (1.00610–1.00625) < .001 PM2.5 (8.52–12.83) 1.00673 (1.00666–1.00680) < .001 PM2.5 (12.83–18.63) 1.00444 (1.00437–1.00451) < .001 PM2.5 (>18.63) 1.00072 (1.00066–1.00079) < .001 aThe mixed models were used to correct for random effects due to interhospital variation. bPrevalence ratios were adjusted for temperature, humidity, eastern/western Japan, season, number of hospital beds, age, sex, height, weight, Brinkman index, and Charlson comorbidity index. cClassified according to three knots (8.52, 12.83, 18.63) accessed by multivariable regression spline models command in Stata.

Article Title: Association of PM 2.5 exposure with hospitalization for cardiovascular disease in elderly individuals in Japan
Article Snippet: This result and the original analysis were similar, so the original results were maintained. (log yen) All (n=835,405) Multilevel, mixed-effects linear regressiona Regression coefficient (95% CI)b p PM2.5 (continuous valuesc) PM2.5 (<8.54) 0.008 (0.006–0.01) 0.029 PM2.5 (8.54–18.63) 0.005 (0.003–0.006) < .001 PM2.5 (>18.63) -0.001 (-0.001–0.001) 0.484 aThe mixed model was used to correct for random effects due to interhospital variation. bRegression coefficients were adjusted for temperature, humidity, eastern/western Japan, season, number of hospital beds, age, sex, height, weight, Brinkman index, and Charlson comorbidity index, angina pectoris, acute myocardial infarction, heart failure, atrial fibrillation/flutter, aortic disease, cardiac arrest, pulmonary embolism, pulmonary hypertension, and tetralogy of Fallot. cClassified according to two knots (8.542, 18.630) accessed by multivariable regression spline models command in Stata.

Article Title: Effects of temperature and humidity on cerebrovascular disease hospitalization in a super-aging society.
Article Snippet: Linearity was checked for continuous and categorical variables using STATA multivariate regression spline (MVRS) command.

Article Title: Association of PM 2.5 exposure with hospitalization for cardiovascular disease in elderly individuals in Japan
Article Snippet: The table shows the prevalence ratio divided by knots. stay (log days) All (n=835,405) Multilevel, mixed-effects linear regressiona Regression coefficient (95% CI)b p PM2.5 (continuous valuesc) PM2.5 (<18.62) 0.0024 (0.0020–0.0028) < .001 PM2.5 (>18.62) -0.0001 (-0.0004–0.0004) 0.908 aThe mixed models was used to correct for random effects due to interhospital variation. bRegression coefficients were adjusted for temperature, humidity, eastern/western Japan, season, number of hospital beds, age, sex, height, weight, Brinkman index, Charlson comorbidity index, angina pectoris, acute myocardial infarction, heart failure, atrial fibrillation/flutter, aortic disease, cardiac arrest, pulmonary embolism, pulmonary hypertension, and tetralogy of Fallot. cClassified according to one knot (18.62) accessed by multivariable regression spline models command in Stata.

Article Title: Dairy Consumption and Risk of Conventional and Serrated Precursors of Colorectal Cancer: A Systematic Review and Meta-Analysis of Observational Studies
Article Snippet: Generalized least-squares trend (GLST) estimation modeling and spline curve modeling (MKspline STATA command) were used to estimate the dose-response relation analysis.

Software:

Article Title: Association of PM 2.5 exposure with hospitalization for cardiovascular disease in elderly individuals in Japan
Article Snippet: .. The multivariable regression spline models (MVRS) command in Stata Statistical Software helped select the RS model that best predicts the outcome variables. ..

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Journal: Frontiers in Public Health

Article Title: Dose–response associations between physical activity and sedentary time with functional disability in older adults with or without frailty: a prospective cohort study

doi: 10.3389/fpubh.2024.1357618

Figure Lengend Snippet: Dose–response association between MVPA and FD. (A–C) shows the association between MVPA and FD among all participants (A) , non-frail older adults (B) , and frail older adults (C) , modeled by restricted cubic splines. MVPA and ST were mutually adjusted, as were baseline age, sex, district, living situation, marital status, education, equivalent income, body mass index, hypertension, dyslipidemia, heart disease, stroke, diabetes mellitus, cancer, alcohol drinking status, smoking status, lower back pain, knee pain, and frailty [in the stratified analyses (B,C) , frailty was excluded from covariates]. The reference value for MVPA was 0 METs■min/week. Solid lines indicate hazard ratios for FD. Dashed lines indicate 95% confidence intervals. FD = functional disability; METs = metabolic equivalent; MVPA = moderate-to-vigorous physical activity; ST = sedentary time.

Article Snippet: Furthermore, in Model 3, we analyzed the dose–response curves of MVPA and ST with incident FD using restricted cubic splines commands (i.e., “mkspline,” “levelsof,” and “xblc” in Stata).

Techniques: Functional Assay, Activity Assay

Journal: Frontiers in Public Health

Article Title: Dose–response associations between physical activity and sedentary time with functional disability in older adults with or without frailty: a prospective cohort study

doi: 10.3389/fpubh.2024.1357618

Figure Lengend Snippet: Dose–response association between ST and FD. (A-C) shows the association between ST and FD among all participants (A) , non-frail older adults (B) , and frail older adults (C) , modeled by restricted cubic splines. ST and MVPA were mutually adjusted, as well as baseline age, sex, district, living situation, marital status, education, equivalent income, body mass index, hypertension, dyslipidemia, heart disease, stroke, diabetes mellitus, cancer, alcohol drinking status, smoking status, lower back pain, knee pain, and frailty (in the stratified analyses (B,C) , frailty was excluded from covariates). The reference value for the ST was 300 min/day. Solid lines indicate hazard ratios for FD. Dashed lines indicate 95% confidence intervals. FD = functional disability; METs = metabolic equivalent; MVPA = moderate-to-vigorous physical activity; ST = sedentary time.

Techniques: Functional Assay, Activity Assay

Association between mean temperature or humidity and cerebrovascular disease hospitalizations. ( A ) Linearity was checked for continuous and categorical variables using STATA’s multivariable regression splines (MVRS) command. MVRS indicated a non-linear relationship with mean temperature. The predicted number of cerebrovascular diseases per day was univariate. The x-axis represents temperature (°C) as a continuous variable. The solid and dashed lines indicate 95% confidence intervals. ( B ) MVRS indicated a non-linear relationship with humidity. The predicted number of cerebrovascular diseases per day was univariate. The x-axis represents humidity (%) as a continuous variable. The solid and dashed lines indicate 95% confidence intervals.

Journal: Scientific Reports

Article Title: Effects of temperature and humidity on cerebrovascular disease hospitalization in a super-aging society

doi: 10.1038/s41598-023-47998-6

Figure Lengend Snippet: Association between mean temperature or humidity and cerebrovascular disease hospitalizations. ( A ) Linearity was checked for continuous and categorical variables using STATA’s multivariable regression splines (MVRS) command. MVRS indicated a non-linear relationship with mean temperature. The predicted number of cerebrovascular diseases per day was univariate. The x-axis represents temperature (°C) as a continuous variable. The solid and dashed lines indicate 95% confidence intervals. ( B ) MVRS indicated a non-linear relationship with humidity. The predicted number of cerebrovascular diseases per day was univariate. The x-axis represents humidity (%) as a continuous variable. The solid and dashed lines indicate 95% confidence intervals.

Article Snippet: Figure 3 Association between mean humidity and subgroups of cerebrovascular disease hospitalizations. ( A ) Linearity was checked for continuous and categorical variables using STATA’s multivariable regression splines (MVRS) command.

Techniques:

Association between mean temperature and subgroups of cerebrovascular disease hospitalizations. ( A ) Linearity was checked for continuous and categorical variables using STATA’s multivariable regression splines (MVRS) command. MVRS indicated a non-linear relationship with mean temperature. The predicted number of ischemic stroke hospitalizations per day was univariate. The x-axis represents temperature (°C) as a continuous variable. The solid and dashed lines indicate 95% confidence intervals. ( B ) MVRS indicated a non-linear relationship with temperature. The predicted number of cerebral hemorrhage hospitalizations per day was univariate. The x-axis represents temperature (°C) as a continuous variable. The solid and dashed lines indicate 95% confidence intervals. ( C ) MVRS indicated a non-linear relationship with temperature. The predicted number of cerebral hemorrhage hospitalizations per day was univariate. The x-axis represents temperature (°C) as a continuous variable. The solid and dashed lines indicate 95% confidence intervals.

Journal: Scientific Reports

Article Title: Effects of temperature and humidity on cerebrovascular disease hospitalization in a super-aging society

doi: 10.1038/s41598-023-47998-6

Figure Lengend Snippet: Association between mean temperature and subgroups of cerebrovascular disease hospitalizations. ( A ) Linearity was checked for continuous and categorical variables using STATA’s multivariable regression splines (MVRS) command. MVRS indicated a non-linear relationship with mean temperature. The predicted number of ischemic stroke hospitalizations per day was univariate. The x-axis represents temperature (°C) as a continuous variable. The solid and dashed lines indicate 95% confidence intervals. ( B ) MVRS indicated a non-linear relationship with temperature. The predicted number of cerebral hemorrhage hospitalizations per day was univariate. The x-axis represents temperature (°C) as a continuous variable. The solid and dashed lines indicate 95% confidence intervals. ( C ) MVRS indicated a non-linear relationship with temperature. The predicted number of cerebral hemorrhage hospitalizations per day was univariate. The x-axis represents temperature (°C) as a continuous variable. The solid and dashed lines indicate 95% confidence intervals.

Techniques:

Association between mean humidity and subgroups of cerebrovascular disease hospitalizations. ( A ) Linearity was checked for continuous and categorical variables using STATA’s multivariable regression splines (MVRS) command. MVRS indicated a non-linear relationship with mean humidity. The predicted number of ischemic stroke hospitalizations per day was univariate. The x-axis represents humidity (%) as a continuous variable. The solid and dashed lines indicate 95% confidence intervals. ( B ) MVRS indicated a non-linear relationship with humidity. The predicted number of cerebral hemorrhage hospitalizations per day was univariate. The x-axis represents humidity (%) as a continuous variable. The solid and dashed lines indicate 95% confidence intervals. ( C ) MVRS indicated a non-linear relationship with humidity. The predicted number of cerebral hemorrhage hospitalizations per day was univariate. The x-axis represents humidity (%) as a continuous variable. The solid and dashed lines indicate 95% confidence intervals.

Journal: Scientific Reports

Article Title: Effects of temperature and humidity on cerebrovascular disease hospitalization in a super-aging society

doi: 10.1038/s41598-023-47998-6

Figure Lengend Snippet: Association between mean humidity and subgroups of cerebrovascular disease hospitalizations. ( A ) Linearity was checked for continuous and categorical variables using STATA’s multivariable regression splines (MVRS) command. MVRS indicated a non-linear relationship with mean humidity. The predicted number of ischemic stroke hospitalizations per day was univariate. The x-axis represents humidity (%) as a continuous variable. The solid and dashed lines indicate 95% confidence intervals. ( B ) MVRS indicated a non-linear relationship with humidity. The predicted number of cerebral hemorrhage hospitalizations per day was univariate. The x-axis represents humidity (%) as a continuous variable. The solid and dashed lines indicate 95% confidence intervals. ( C ) MVRS indicated a non-linear relationship with humidity. The predicted number of cerebral hemorrhage hospitalizations per day was univariate. The x-axis represents humidity (%) as a continuous variable. The solid and dashed lines indicate 95% confidence intervals.

Techniques:

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restricted cubic splines commands mkspline (STATA Corporation)

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