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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
    https://www.bioz.com/product/spline+command/pmc11076770-155-17-27?v=STATA+Corporation
    Average 90 stars, based on 1 article reviews
    restricted cubic splines commands mkspline - by Bioz Stars, 2026-07
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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

    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.
    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



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    Image Search Results


    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.

    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

    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.

    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.

    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

    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.

    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 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.

    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: