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restricted cubic splines commands mkspline (STATA Corporation)

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Structured Review

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/mkspline+command/pmc11076770-155-17-27
Average 90 stars, based on 1 article reviews

restricted cubic splines commands mkspline - by Bioz Stars, 2026-10

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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

Functional Assay:

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
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).

Article Title: Association between kidney function and incidence of dementia: 10-year follow-up of the Whitehall II cohort study
Article Snippet: The shape of the association between the continuous measure of eGFR in 2007–2006 and subsequent dementia was plotted using restricted cubic splines with Harrell knots [ ], using the command mkspline in Stata to confirm the proposed threshold of eGFR <60 to define poor kidney function [ ].

Article Title: Considerations about risk of ongoing distress: what can we learn from repeat screening?
Article Snippet: The importance of routine distress screening in cancer patients is widely acknowledged, though non-compliance with screening protocols is common.. Cited reasons for non-adherence include lack of time and expertise and concerns about the resources associated with the identification and management of clinically relevant distress.. This commentary examines changes in distress among people with cancer who participated in a tele-based psychosocial intervention, from the point of initial distress screening to 12 months after commencing the intervention.

Article Title: Effects of temperature and humidity on cerebrovascular disease hospitalization in a super-aging society.
Article Snippet: The cutoff value of humidity was determined based on the knots calculated by MVRS and was tested using “mkspline” command in STATA.

Article Title: Social network intervention for loneliness and social isolation in a community setting: the PALS cluster-RCT
Article Snippet: Baseline SF-12 MCS was also fitted using restricted cubic splines (five knots, in the default positions using the Stata command mkspline) to allow for a nonlinear relationship with the outcome; this led to minimal change in the results (treatment effect: 0.21, 95% CI −1.74 to 2.17; p = 0.832).

Article Title: Best of ARM: Evaluating engagement in multisector community health networks: The case of tribal organizations.
Article Snippet: A knot was created at 1% (about the bottom 25th percentile) using Stata's mkspline command.

Article Title: School Influences on Adolescent Depression: A 6-Year Longitudinal Study Amongst Catholic, Government and Independent Schools, in Victoria, Australia
Article Snippet: For this study, knots were created using the mkspline command in Stata.

Activity Assay:

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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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