Fig 8 - | ORKG Ask

Age-specific proportions of rapid disease progression.

Satoshi Nozuma (560017)
Eiji Matsuura (368830)
Toshio Matsuzaki (560018)
Osamu Watanabe (560019)
Ryuji Kubota (560020)
Shuji Izumo (469059)
Hiroshi Takashima (286751)

May 2014

The proportion of cases with rapid disease progression tended to increase with the older age of o...

Partial correlations between endocrine factors / obesity estimates and BTMs after controlling for age and height separately in males (n = 57) and females (n = 63).

Heli T. Viljakainen (401086)
Heikki A. Koistinen (129541)
Taina Tervahartiala (735754)
Timo Sorsa (114750)
Sture Andersson (331280)
Outi Mäkitie (317072)

June 2017

Partial correlations between endocrine factors / obesity estimates and BTMs after controlling for...

Overweight and chronic illness--a retrospective cohort study, with a follow-up of 6-17 years, in men and women of initially 20-50 years of age

Seidell, J C
Bakx, K C
Deurenberg, P.
van den Hoogen, F.H.J.
Hautvast, J.G.A.J.
Stijnen, T.

January 1986

A retrospective cohort-study with a follow-up of 6-17 years was carried out in four general practice...

Fig 7 -

Harumichi Itoh (17720880)
Takuya Itamoto (17921565)
Kenji Tani (730596)
Hiroshi Sunahara (17720886)
Yuki Nemoto (17720883)
Munekazu Nakaichi (4017752)
Toshie Iseri (17921568)
Hiro Horikirizono (17921571)
Kazuhito Itamoto (9647697)

February 2024

Correlations between the V/B ratio, (A) age at onset and, and (B) body weight were examined. No corr...

Fig 6 -

Harumichi Itoh (17720880)
Takuya Itamoto (17921565)
Kenji Tani (730596)
Hiroshi Sunahara (17720886)
Yuki Nemoto (17720883)
Munekazu Nakaichi (4017752)
Toshie Iseri (17921568)
Hiro Horikirizono (17921571)
Kazuhito Itamoto (9647697)

February 2024

Correlations between N/h ratio, (A) age at onset, and (B) body weight were examined, and no signific...

Comparison about age at onset, and body weight of each disease presence and absence.

Harumichi Itoh (17720880)
Takuya Itamoto (17921565)
Kenji Tani (730596)
Hiroshi Sunahara (17720886)
Yuki Nemoto (17720883)
Munekazu Nakaichi (4017752)
Toshie Iseri (17921568)
Hiro Horikirizono (17921571)
Kazuhito Itamoto (9647697)

February 2024

Comparison about age at onset, and body weight of each disease presence and absence.</p

Correlations between anti-CCP and patient’s age and age at disease onset.

Isabela Goeldner (439805)
Thelma L. Skare (584788)
Shirley R. Utiyama (535490)
Renato M. Nisihara (584789)
Hoang van Tong (125034)
Iara J. T. Messias-Reason (398957)
Thirumalaisamy P. Velavan (125068)

April 2014

Anti-CCP correlated with the age of patients (A) and age at disease onset (C). Anti-CCP studied a...

Summary of findings from previous studies on association between age- and sex-adjusted BMI z-scores and age at onset of T1D in various populations.

Arshad M. Channanath (3925358)
Naser Elkum (79418)
Dalia Al-Abdulrazzaq (493612)
Jaakko Tuomilehto (65635)
Azza Shaltout (3925355)
Thangavel Alphonse Thanaraj (13860)

April 2017

Summary of findings from previous studies on association between age- and sex-adjusted BMI z-scor...

Correlations among age, weight, BMI, IL-6, IL-8, TNF-α and TGF-β within group 1 (patients with hypertension without CAD).

Zahra Sepehri (3607892)
Mohammad Masoumi (3607889)
Nazanin Ebrahimi (3607895)
Zohre Kiani (3607877)
Ali Akbar Nasiri (3607883)
Farhad Kohan (3607901)
Mahmood Sheikh Fathollahi (3607886)
Mohammad Kazemi Arababadi (3607880)
Gholamreza Asadikaram (3607898)

December 2016

Correlations among age, weight, BMI, IL-6, IL-8, TNF-α and TGF-β within group 1 (patients with hy...

Correlations between Observed Variables (n = 72).

Leah FitzGerald (316392)
Paul M. Macey (5652118)
Mary-Lynn Brecht (316394)

February 2013

*p<.05.Body fat positively correlated with age, fat mass and IL-6; Fat mass and lean mass ...

Correlation analysis for age-adjusted WBISI in preschool and school age obese patients.

Melania Manco (440076)
Maria Rita Spreghini (440077)
Rosa Luciano (440078)
Cecilia Pensini (440079)
Rita Wietrzycowska Sforza (440080)
Carmela Rustico (440081)
Marco Cappa (440082)
Giuseppe Stefano Morino (440083)

July 2013

Correlation analysis for age-adjusted WBISI in preschool and school age obese patients.</p

Co-occurrence of diabetes, myocardial infarction, stroke, and cancer: Quantifying age patterns in the Dutch

Baal, Pieter
Engelfriet, Peter
Boshuizen, Hendriek
Kassteele, Jan
Schellevis, François
Hoogenveen, Rudolf

September 2011

Background: The high prevalence of chronic diseases in Western countries implies that the presence o...

Patterns of weight change associated with disease diagnosis in a national sample

Yana C. Vierboom (6009398)
Samuel H. Preston (3697414)
Andrew Stokes (344812)

November 2018

BackgroundThe incidence and/or diagnosis of a major disease may activate weight change. Patterns of ...

Co-occurence of diabetes, myocardial infacttion, stroke, and cancer: quantifying age patterns in the Dutch population using health survey data

Baal, P.H., van
Engelfriet, P.M.
Boshuizen, H.C.
Kassteele, J., van de
Schellevis, F.G.
Hoogenveen, R.T.

January 2011

Background The high prevalence of chronic diseases in Western countries implies that the presence of...

Co-occurrence of diabetes, myocardial infarction, stroke, and cancer: quantifying age patterns in the Dutch population using health survey data.

Baal, P.H. van
Engelfriet, P.M.
Boshuizen, H.C.
Kassteele, J. van de
Schellevis, F.G.
Hoogenveen, R.T.

January 2011

Background: The high prevalence of chronic diseases in Western countries implies that the presence o...

Age-specific proportions of rapid disease progression.

Satoshi Nozuma (560017)
Eiji Matsuura (368830)
Toshio Matsuzaki (560018)
Osamu Watanabe (560019)
Ryuji Kubota (560020)
Shuji Izumo (469059)
Hiroshi Takashima (286751)

May 2014

The proportion of cases with rapid disease progression tended to increase with the older age of o...

Partial correlations between endocrine factors / obesity estimates and BTMs after controlling for age and height separately in males (n = 57) and females (n = 63).

Heli T. Viljakainen (401086)
Heikki A. Koistinen (129541)
Taina Tervahartiala (735754)
Timo Sorsa (114750)
Sture Andersson (331280)
Outi Mäkitie (317072)

June 2017

Partial correlations between endocrine factors / obesity estimates and BTMs after controlling for...

Overweight and chronic illness--a retrospective cohort study, with a follow-up of 6-17 years, in men and women of initially 20-50 years of age

Seidell, J C
Bakx, K C
Deurenberg, P.
van den Hoogen, F.H.J.
Hautvast, J.G.A.J.
Stijnen, T.

January 1986

A retrospective cohort-study with a follow-up of 6-17 years was carried out in four general practice...

Fig 7 -

Harumichi Itoh (17720880)
Takuya Itamoto (17921565)
Kenji Tani (730596)
Hiroshi Sunahara (17720886)
Yuki Nemoto (17720883)
Munekazu Nakaichi (4017752)
Toshie Iseri (17921568)
Hiro Horikirizono (17921571)
Kazuhito Itamoto (9647697)

February 2024

Correlations between the V/B ratio, (A) age at onset and, and (B) body weight were examined. No corr...

Fig 6 -

Harumichi Itoh (17720880)
Takuya Itamoto (17921565)
Kenji Tani (730596)
Hiroshi Sunahara (17720886)
Yuki Nemoto (17720883)
Munekazu Nakaichi (4017752)
Toshie Iseri (17921568)
Hiro Horikirizono (17921571)
Kazuhito Itamoto (9647697)

February 2024

Correlations between N/h ratio, (A) age at onset, and (B) body weight were examined, and no signific...

Comparison about age at onset, and body weight of each disease presence and absence.

Harumichi Itoh (17720880)
Takuya Itamoto (17921565)
Kenji Tani (730596)
Hiroshi Sunahara (17720886)
Yuki Nemoto (17720883)
Munekazu Nakaichi (4017752)
Toshie Iseri (17921568)
Hiro Horikirizono (17921571)
Kazuhito Itamoto (9647697)

February 2024

Comparison about age at onset, and body weight of each disease presence and absence.</p

Correlations between anti-CCP and patient’s age and age at disease onset.

Isabela Goeldner (439805)
Thelma L. Skare (584788)
Shirley R. Utiyama (535490)
Renato M. Nisihara (584789)
Hoang van Tong (125034)
Iara J. T. Messias-Reason (398957)
Thirumalaisamy P. Velavan (125068)

April 2014

Anti-CCP correlated with the age of patients (A) and age at disease onset (C). Anti-CCP studied a...

Summary of findings from previous studies on association between age- and sex-adjusted BMI z-scores and age at onset of T1D in various populations.

Arshad M. Channanath (3925358)
Naser Elkum (79418)
Dalia Al-Abdulrazzaq (493612)
Jaakko Tuomilehto (65635)
Azza Shaltout (3925355)
Thangavel Alphonse Thanaraj (13860)

April 2017

Summary of findings from previous studies on association between age- and sex-adjusted BMI z-scor...

Correlations among age, weight, BMI, IL-6, IL-8, TNF-α and TGF-β within group 1 (patients with hypertension without CAD).

Zahra Sepehri (3607892)
Mohammad Masoumi (3607889)
Nazanin Ebrahimi (3607895)
Zohre Kiani (3607877)
Ali Akbar Nasiri (3607883)
Farhad Kohan (3607901)
Mahmood Sheikh Fathollahi (3607886)
Mohammad Kazemi Arababadi (3607880)
Gholamreza Asadikaram (3607898)

December 2016

Correlations among age, weight, BMI, IL-6, IL-8, TNF-α and TGF-β within group 1 (patients with hy...

Correlations between Observed Variables (n = 72).

Leah FitzGerald (316392)
Paul M. Macey (5652118)
Mary-Lynn Brecht (316394)

February 2013

*p<.05.Body fat positively correlated with age, fat mass and IL-6; Fat mass and lean mass ...

Correlation analysis for age-adjusted WBISI in preschool and school age obese patients.

Melania Manco (440076)
Maria Rita Spreghini (440077)
Rosa Luciano (440078)
Cecilia Pensini (440079)
Rita Wietrzycowska Sforza (440080)
Carmela Rustico (440081)
Marco Cappa (440082)
Giuseppe Stefano Morino (440083)

July 2013

Correlation analysis for age-adjusted WBISI in preschool and school age obese patients.</p

Co-occurrence of diabetes, myocardial infarction, stroke, and cancer: Quantifying age patterns in the Dutch

Baal, Pieter
Engelfriet, Peter
Boshuizen, Hendriek
Kassteele, Jan
Schellevis, François
Hoogenveen, Rudolf

September 2011

Background: The high prevalence of chronic diseases in Western countries implies that the presence o...

Patterns of weight change associated with disease diagnosis in a national sample

Yana C. Vierboom (6009398)
Samuel H. Preston (3697414)
Andrew Stokes (344812)

November 2018

BackgroundThe incidence and/or diagnosis of a major disease may activate weight change. Patterns of ...

Co-occurence of diabetes, myocardial infacttion, stroke, and cancer: quantifying age patterns in the Dutch population using health survey data

Baal, P.H., van
Engelfriet, P.M.
Boshuizen, H.C.
Kassteele, J., van de
Schellevis, F.G.
Hoogenveen, R.T.

January 2011

Background The high prevalence of chronic diseases in Western countries implies that the presence of...

Co-occurrence of diabetes, myocardial infarction, stroke, and cancer: quantifying age patterns in the Dutch population using health survey data.

Baal, P.H. van
Engelfriet, P.M.
Boshuizen, H.C.
Kassteele, J. van de
Schellevis, F.G.
Hoogenveen, R.T.

January 2011

Background: The high prevalence of chronic diseases in Western countries implies that the presence o...

Age-specific proportions of rapid disease progression.

Satoshi Nozuma (560017)
Eiji Matsuura (368830)
Toshio Matsuzaki (560018)
Osamu Watanabe (560019)
Ryuji Kubota (560020)
Shuji Izumo (469059)
Hiroshi Takashima (286751)

May 2014

The proportion of cases with rapid disease progression tended to increase with the older age of o...

Partial correlations between endocrine factors / obesity estimates and BTMs after controlling for age and height separately in males (n = 57) and females (n = 63).

Heli T. Viljakainen (401086)
Heikki A. Koistinen (129541)
Taina Tervahartiala (735754)
Timo Sorsa (114750)
Sture Andersson (331280)
Outi Mäkitie (317072)

June 2017

Partial correlations between endocrine factors / obesity estimates and BTMs after controlling for...

Overweight and chronic illness--a retrospective cohort study, with a follow-up of 6-17 years, in men and women of initially 20-50 years of age

Seidell, J C
Bakx, K C
Deurenberg, P.
van den Hoogen, F.H.J.
Hautvast, J.G.A.J.
Stijnen, T.

January 1986

A retrospective cohort-study with a follow-up of 6-17 years was carried out in four general practice...

Fig 8 -

Abstract

Extracted data

Fig 8 -

Abstract

Extracted data

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