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2. Limited predictive value of bioelectrical phase angle for the development of sarcopenia in older Europeans

Author

Pigłowska, Małgorzata, Corsonello, Andrea, Kostka, Tomasz, Roller-Wirnsberger, Regina, Wirnsberger, Gerhard, Ärnlöv, Johan, Carlsson, Axel C., Tap, Lisanne, Mattace-Raso, Francesco, Formiga, Francesc, Moreno-González, Rafael, Kob, Robert, Sieber, Cornel, Gil, Pedro, Martinez, Sara Lainez, Ben-Romano, Ronit, Melzer, Itshak, Fabbietti, Paolo, Lattanzio, Fabrizia, and Guligowska, Agnieszka

Published
2024
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7. Lifestyle counseling in patients with hypertension in primary health care and its association with antihypertensive pharmacotherapy

Author

Lindblom, Sebastian, primary, Ivarsson, Charlotte, additional, Wändell, Per, additional, Bergqvist, Monica, additional, Norrman, Anders, additional, Eriksson, Julia, additional, Lund, Lena, additional, Hagströmer, Maria, additional, Hasselström, Jan, additional, Sandlund, Christina, additional, and Carlsson, Axel C, additional

Published
2024
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9. A person-centred care transition support for people with stroke/TIA : A study protocol for effect and process evaluation using a non-randomised controlled design.

Author

Lindblom, Sebastian, Flink, Maria, von Koch, Lena, Tistad, Malin, Stenberg, Una, Elf, Marie, Carlsson, Axel C, Laska, Ann Charlotte, Ytterberg, Charlotte, Lindblom, Sebastian, Flink, Maria, von Koch, Lena, Tistad, Malin, Stenberg, Una, Elf, Marie, Carlsson, Axel C, Laska, Ann Charlotte, and Ytterberg, Charlotte

Abstract

INTRODUCTION: Care transitions following a stroke call for integrated care approaches to reduce death and disability. The proposed research described in this study protocol aims to evaluate the effectiveness of a person-centred multicomponent care transition support and the process in terms of contextual moderators, implementation aspects and mechanisms of impact. METHODS: A non-randomized controlled trial design will be used. The intervention includes person-centred dialogue intended to permeate all patient-provider communication, various pedagogical modes of information, a person-centred care and rehabilitation plan, and a bridging e-meeting to prepare patients for homecoming. Patients with stroke or TIA who are to be discharged from the participating hospitals to home and referred to a neurorehabilitation team for continued rehabilitation will be included. Follow-ups will be conducted at one week, 3 months and 12 months. Data will be collected on the primary outcome of perceived quality of the care transition, and on the secondary outcomes of health literacy, medication adherence, and perceived person-centeredness. Data for process evaluation will be collected through semi-structured interviews, focus groups, participatory observations, and the Normalisation Measure Development Questionnaire. DISCUSSION: The study will provide insights on implementation, mechanisms of impact, contextual moderators, and effectiveness of a care transition support, targeting a poorly functioning part of the care trajectory for people with stroke and TIA. CLINICAL TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT05646589.

Published
2024
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10. Short physical performance battery is not associated with falls and injurious falls in older persons : longitudinal data of the SCOPE project

Author

Freiberger, Ellen, Fabbietti, Paolo, Corsonello, Andrea, Lattanzio, Fabrizia, Sieber, Cornel, Tap, Lisanne, Mattace-Raso, Francesco, Ärnlöv, Johan, Carlsson, Axel C, Roller-Wirnsberger, Regina, Wirnsberger, Gerhard, Moreno-Gonzalez, Rafael, Formiga, Francesc, Martinez, Sara Lainez, Gil, Pedro, Kostka, Tomasz, Guligowska, Agnieszka, Yehoshua, Ilan, Melzer, Itshak, Kob, Robert, Freiberger, Ellen, Fabbietti, Paolo, Corsonello, Andrea, Lattanzio, Fabrizia, Sieber, Cornel, Tap, Lisanne, Mattace-Raso, Francesco, Ärnlöv, Johan, Carlsson, Axel C, Roller-Wirnsberger, Regina, Wirnsberger, Gerhard, Moreno-Gonzalez, Rafael, Formiga, Francesc, Martinez, Sara Lainez, Gil, Pedro, Kostka, Tomasz, Guligowska, Agnieszka, Yehoshua, Ilan, Melzer, Itshak, and Kob, Robert

Abstract

INTRODUCTION: Falls and fall-related injuries in older persons are a major public health problem. Our objective was to study the predictive value of the Short Physical Performance Battery (SPPB) in the cohort of the SCOPE project on falls, injurious falls, and possible difference of prediction between indoors and outdoors falls. METHODS: For this sub-study of the SCOPE project participants reporting no falls at baseline, and survey data on falls at the 12-month and 24-month follow-up were included. Participant´s characteristics were assessed during the baseline interview and medical examinations. Falls as well as injurious falls and fall circumstances were obtained self-reported. SPPB and its association with fallers vs. no fallers at 12 and at 24 months were studied with logistic regression models. RESULTS: The 1198 participants had a median age of 79 years (77-82), and a median SPPB of 10 (8-11), with a 52.5% of female. A total of 227 and 277 falls (12- and 24- month visits, respectively) were reported. In the crude model, the SPPB sum scores (p < 0.001) as well as most single item scores were significant different between fallers and non-fallers over time. However, the association was attenuated in models adjusted for age, sex, marital status, number of medications, quality of life, handgrip strength, and muscle mass [e.g., 12 months; OR 0.94 (0.87-1.02)]. While SPPB fails to differentiate between injurious and non-injurious falls (p = 0.48), a lower SPPB score was associated with falls at home (p < 0.01) after 24 months. CONCLUSION: SBPP was not able to significantly predict the risk of falling as well as experiencing an injurious fall. TRIAL REGISTRATION: This study was registered prospectively on 25th February 2016 at clinicaltrials.gov (NCT02691546).

Published
2024
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11. A machine learning tool for identifying patients with newly diagnosed diabetes in primary care

Author

Wändell, Per, Carlsson, Axel C, Wierzbicka, Marcelina, Sigurdsson, Karolina, Ärnlöv, Johan, Eriksson, Julia, Wachtler, Caroline, Ruge, Toralph, Wändell, Per, Carlsson, Axel C, Wierzbicka, Marcelina, Sigurdsson, Karolina, Ärnlöv, Johan, Eriksson, Julia, Wachtler, Caroline, and Ruge, Toralph

Abstract

BACKGROUND AND AIM: It is crucial to identify a diabetes diagnosis early. Create a predictive model utilizing machine learning (ML) to identify new cases of diabetes in primary health care (PHC). METHODS: A case-control study utilizing data on PHC visits for sex-, age, and PHC-matched controls. Stochastic gradient boosting was used to construct a model for predicting cases of diabetes based on diagnostic codes from PHC consultations during the year before index (diagnosis) date and number of consultations. Variable importance was estimated using the normalized relative influence (NRI) score. Risks of having diabetes were calculated using odds ratios of marginal effects (ORME). Four groups by age and sex were studied, age-groups 35-64 years and ≥ 65 years in men and women, respectively. RESULTS: The most important predictive factors were hypertension with NRI 21.4-29.7 %, and obesity 4.8-15.2 %. The NRI for other top ten diagnoses and administrative codes generally ranged 1.0-4.2 %. CONCLUSIONS: Our data confirm the known risk patterns for predicting a new diagnosis of diabetes, and the need to test blood glucose frequently. To assess the full potential of ML for risk prediction purposes in clinical practice, future studies could include clinical data on life-style patterns, laboratory tests and prescribed medication.

Published
2024
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12. Lifestyle counseling in patients with hypertension in primary health care and its association with antihypertensive pharmacotherapy

Author

Lindblom, Sebastian, Ivarsson, Charlotte, Wändell, Per, Bergqvist, Monica, Norrman, Anders, Eriksson, Julia, Lund, Lena, Hagströmer, Maria, Hasselström, Jan, Sandlund, Christina, Carlsson, Axel C, Lindblom, Sebastian, Ivarsson, Charlotte, Wändell, Per, Bergqvist, Monica, Norrman, Anders, Eriksson, Julia, Lund, Lena, Hagströmer, Maria, Hasselström, Jan, Sandlund, Christina, and Carlsson, Axel C

Abstract

The study aimed to investigate differences in hypertensive- and cardio-preventive pharmacotherapy depending on if patients with hypertension received lifestyle counseling or not, including the difference between men and women. Data from the Region Stockholm VAL database was used to identify all patients with a hypertension diagnosis and had visited a primary health care center within the past five years. Data included registered diagnoses, pharmacotherapy, and codes for lifestyle counseling. Logistic regression adjusted for age and comorbidity (diabetes, stroke, coronary heart disease, atrial fibrillation, gout, obesity, heart failure) was used, presenting results as odds ratios (OR) with 99% confidence interval (CI). The study included 130,030 patients with hypertension; 63,402 men and 66,628 women. Patients receiving recommended lifestyle counseling were more frequently treated with three or more hypertensive drugs: women OR 1.38 (1.31, 1.45) and men = 1.36 (1.30, 1.43); certain drug classes: calcium antagonists: women 1.09 (1.04, 1.14) and men 1.11 (1.06, 1.16); thiazide diuretics: women 1.26 (1.20, 1.34) and men 1.25 (1.19, 1.32); and aldosterone antagonists: women 1.25 (1.12, 1.41) and men 1.49 (1.34, 1.65). Patients receiving recommended level of lifestyle counseling with concomitant coronary heart disease, atrial fibrillation, diabetes, or stroke were more frequently treated with statins than those who did not. Further, recommended lifestyle counseling was significantly associated with anticoagulant treatment in patients with atrial fibrillation. Lifestyle counseling according to recommendations in national guidelines was significantly associated with a more thorough pharmacological treatment of hypertension, statins, and antithrombotic drugs as well as anticoagulants, in both men and women.

Published
2024
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13. Short physical performance battery is not associated with falls and injurious falls in older persons:longitudinal data of the SCOPE project

Author

Freiberger, Ellen, Fabbietti, Paolo, Corsonello, Andrea, Lattanzio, Fabrizia, Sieber, Cornel, Tap, Lisanne, Mattace-Raso, Francesco, Ärnlöv, Johan, Carlsson, Axel C., Roller-Wirnsberger, Regina, Wirnsberger, Gerhard, Moreno-Gonzalez, Rafael, Formiga, Francesc, Martinez, Sara Lainez, Gil, Pedro, Kostka, Tomasz, Guligowska, Agnieszka, Yehoshua, Ilan, Melzer, Itshak, Kob, Robert, Freiberger, Ellen, Fabbietti, Paolo, Corsonello, Andrea, Lattanzio, Fabrizia, Sieber, Cornel, Tap, Lisanne, Mattace-Raso, Francesco, Ärnlöv, Johan, Carlsson, Axel C., Roller-Wirnsberger, Regina, Wirnsberger, Gerhard, Moreno-Gonzalez, Rafael, Formiga, Francesc, Martinez, Sara Lainez, Gil, Pedro, Kostka, Tomasz, Guligowska, Agnieszka, Yehoshua, Ilan, Melzer, Itshak, and Kob, Robert

Abstract

Aim: Our objective was to study the predictive value of the Short Physical Performance Battery (SPPB) in the cohort of the SCOPE project on falls, injurious falls, and possible difference of prediction between indoors and outdoors falls. Findings: No association of SPPB and falls was found in models adjusted for age, sex, marital status, number of medications, quality of life, handgrip strength, and muscle mass. While SPPB fails to differentiate between injurious and non-injurious falls (p = 0.48), a lower SPPB score was associated with falls at home (p < 0.01) after 24 months. Message: SBPP was not able to significantly predict the risk of falling as well as experiencing an injurious fall.

Published
2024

16. Relationship of proximal tubular injury to chronic kidney disease as assessed by urinary kidney injury molecule-1 in five cohort studies.

Author

Waikar, Sushrut S, Sabbisetti, Venkata, Ärnlöv, Johan, Carlsson, Axel C, Coresh, Josef, Feldman, Harold I, Foster, Meredith C, Fufaa, Gudeta D, Helmersson-Karlqvist, Johanna, Hsu, Chi-Yuan, Kimmel, Paul L, Larsson, Anders, Liu, Yumin, Lind, Lars, Liu, Kathleen D, Mifflin, Theodore E, Nelson, Robert G, Risérus, Ulf, Vasan, Ramachandran S, Xie, Dawei, Zhang, Xiaoming, Bonventre, Joseph V, and Chronic Kidney Disease Biomarkers Consortium Investigators

Subjects
Chronic Kidney Disease Biomarkers Consortium Investigators, Kidney Tubules, Proximal, Humans, Albuminuria, Risk Factors, Prospective Studies, Adult, Aged, Middle Aged, Sweden, Female, Male, Renal Insufficiency, Chronic, Young Adult, Biomarkers, Hepatitis A Virus Cellular Receptor 1, KIM-1, albuminuria, chronic kidney disease, Kidney Disease, Physical Injury - Accidents and Adverse Effects, Clinical Research, Renal and urogenital, Good Health and Well Being, Clinical Sciences, Urology & Nephrology
Abstract

BackgroundThe primary biomarkers used to define CKD are serum creatinine and albuminuria. These biomarkers have directed focus on the filtration and barrier functions of the kidney glomerulus even though albuminuria results from tubule dysfunction as well. Given that proximal tubules make up ∼90% of kidney cortical mass, we evaluated whether a sensitive and specific marker of proximal tubule injury, urinary kidney injury molecule-1 (KIM-1), is elevated in individuals with CKD or with risk factors for CKD.MethodsWe measured urinary KIM-1 in participants of five cohort studies from the USA and Sweden. Participants had a wide range of kidney function and were racially and ethnically diverse. Multivariable linear regression models were used to test the association of urinary KIM-1 with demographic, clinical and laboratory values.ResultsIn pooled, multivariable-adjusted analyses, log-transformed, creatinine-normalized urinary KIM-1 levels were higher in those with lower eGFR {β = -0.03 per 10 mL/min/1.73 m(2) [95% confidence interval (CI) -0.05 to -0.02]} and greater albuminuria [β = 0.16 per unit of log albumin:creatinine ratio (95% CI 0.15-0.17)]. Urinary KIM-1 levels were higher in current smokers, lower in blacks than nonblacks and lower in users versus nonusers of angiotensin-converting enzyme inhibitors and angiotensin receptor blockers.ConclusionProximal tubule injury appears to be an integral and measurable element of multiple stages of CKD.

Published
2016

26. Quality of Life and Kidney Function in Older Adults: Prospective Data of the SCOPE Study

Author

Artzi-Medvedik, Rada, primary, Kob, Robert, additional, Di Rosa, Mirko, additional, Lattanzio, Fabrizia, additional, Corsonello, Andrea, additional, Yehoshua, Ilan, additional, Roller-Wirnsberger, Regina E., additional, Wirnsberger, Gerhard H., additional, Mattace-Raso, Francesco U. S., additional, Tap, Lisanne, additional, Gil, Pedro G., additional, Formiga, Francesc, additional, Moreno-González, Rafael, additional, Kostka, Tomasz, additional, Guligowska, Agnieszka, additional, Ärnlöv, Johan, additional, Carlsson, Axel C., additional, Freiberger, Ellen, additional, and Melzer, Itshak, additional

Published
2023
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28. Validation of a diagnostic prediction tool for colorectal cancer : a case–control replication study

Author

Nemlander, Elinor, Rosenblad, Andreas, Abedi, Eliya, Hasselström, Jan, Sjövall, Annika, Carlsson, Axel C, Ewing, Marcela, Nemlander, Elinor, Rosenblad, Andreas, Abedi, Eliya, Hasselström, Jan, Sjövall, Annika, Carlsson, Axel C, and Ewing, Marcela

Abstract

Background Early detection of colorectal cancer (CRC) is crucial for survival. Primary care, the first point of contact in most cases, needs supportive risk assessment tools. We aimed to replicate the Swedish Colorectal Cancer Risk Assessment Tool (SCCRAT) for non-metastatic CRC in primary care and examine if risk factor patterns depend on sex and age. Methods 2,920 adults diagnosed with non-metastatic CRC during the years 2015–2019 after having visited a general practitioner the year before the diagnosis were selected from the Swedish Cancer Register and matched with 11,628 controls, using the same inclusion criteria except for the CRC diagnosis. Diagnostic codes from primary care consultations were collected from a regional health care database. Positive predictive values (PPVs) were estimated for the same 5 symptoms and combinations thereof as in the baseline study. Results The results for patients aged ≥50 years old in the present study were consistent with the results of the SCCRAT study. All symptoms and combinations thereof with a PPV >5% in the present study had a PPV >5% in the baseline study. The combination of bleeding with abdominal pain (PPV 9.9%) and bleeding with change in bowel habit (PPV 7.8%) were the highest observed PPVs in both studies. Similar risk patterns were seen for all ages and when men and women were studied separately. Conclusion This external validation of the SCCRAT for non-metastatic CRC in primary care replicated the baseline study successfully and identified patients at high risk for CRC.

Published
2023
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29. A machine learning tool for identifying non-metastatic colorectal cancer in primary care

Author

Nemlander, Elinor, Ewing, Marcela, Abedi, Eliya, Hasselstrom, Jan, Sjovall, Annika, Carlsson, Axel C., Rosenblad, Andreas, Nemlander, Elinor, Ewing, Marcela, Abedi, Eliya, Hasselstrom, Jan, Sjovall, Annika, Carlsson, Axel C., and Rosenblad, Andreas

Abstract

Background: Primary health care (PHC) is often the first point of contact when diagnosing colorectal cancer (CRC). Human limitations in processing large amounts of information warrant the use of machine learning as a diagnostic prediction tool for CRC. Aim: To develop a predictive model for identifying non-metastatic CRC (NMCRC) among PHC patients using diagnostic data analysed with machine learning. Design and setting: A case-control study containing data on PHC visits for 542 patients >18 years old diagnosed with NMCRC in the Vastra Gotaland Region, Sweden, during 2011, and 2,139 matched controls. Method: Stochastic gradient boosting (SGB) was used to construct a model for predicting the presence of NMCRC based on diagnostic codes from PHC consultations during the year before the date of cancer diagnosis and the total number of consultations. Variables with a normalised relative influence (NRI) >1% were considered having an important contribution to the model. Risks of having NMCRC were calculated using odds ratios of marginal effects. Results: Of the 361 variables used as predictors in the stochastic gradient boosting model, 184 had non-zero influence, with 16 variables having NRI >1% and a combined NRI of 63.3%. Variables representing anaemia and bleeding had a combined NRI of 27.6%. The model had a sensitivity of 73.3% and a specificity of 83.5%. Change in bowel habit had the highest odds ratios of marginal effects at 28.8. Conclusion: Machine learning is useful for identifying variables of importance for predicting NMCRC in PHC. Malignant diagnoses may be hidden behind benign symptoms such as haemorrhoids.

Published
2023
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30. The Use of Teach Back at Hospital Discharge to Support Self-Management of Prescribed Medication for Secondary Prevention after Stroke-Findings from A Feasibility Study

Author

Lindblom, Sebastian, Ytterberg, Charlotte, Flink, Maria, Carlsson, Axel C, Stenberg, Una, Tistad, Malin, von Koch, Lena, Laska, Ann Charlotte, Lindblom, Sebastian, Ytterberg, Charlotte, Flink, Maria, Carlsson, Axel C, Stenberg, Una, Tistad, Malin, von Koch, Lena, and Laska, Ann Charlotte

Abstract

The study aimed to investigate whether a structured discharge letter and the use of the person-centred communication method Teach Back for sharing information at hospital discharge could support perceived understanding and knowledge of and adherence to prescribed medication for secondary prevention after stroke. Data from a feasibility study of a codesigned care transition support for people with stroke was used. Patients who at discharge received both a structured discharge letter and participated in the person-centred communication method Teach Back (n = 17) were compared with patients receiving standard discharge procedures (n = 21). Questionnaires were used to compare the groups regarding perceived understanding of information about medical treatment, knowledge of information about medical treatment and medication adherence at 1 week and 3 months. There was a statistically significant difference in perceived understanding of information about medical treatment (p > 0.01) between the groups in favour of those who participated in Teach Back at the discharge encounter. No differences between groups were found regarding understanding health information about medical treatment and medication adherence. The results indicate that the use of Teach Back at the discharge encounter positively impacts perceived understanding of information about medical treatment in people with stroke. However, considering the nonrandomised study design and the small sample size, a large-scale trial is needed.

Published
2023
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31. Quality of Life and Kidney Function in Older Adults : Prospective Data of the SCOPE Study

Author

Artzi-Medvedik, Rada, Kob, Robert, Di Rosa, Mirko, Lattanzio, Fabrizia, Corsonello, Andrea, Yehoshua, Ilan, Roller-Wirnsberger, Regina E, Wirnsberger, Gerhard H, Mattace-Raso, Francesco U S, Tap, Lisanne, Gil, Pedro G, Formiga, Francesc, Moreno-González, Rafael, Kostka, Tomasz, Guligowska, Agnieszka, Ärnlöv, Johan, Carlsson, Axel C, Freiberger, Ellen, Melzer, Itshak, Artzi-Medvedik, Rada, Kob, Robert, Di Rosa, Mirko, Lattanzio, Fabrizia, Corsonello, Andrea, Yehoshua, Ilan, Roller-Wirnsberger, Regina E, Wirnsberger, Gerhard H, Mattace-Raso, Francesco U S, Tap, Lisanne, Gil, Pedro G, Formiga, Francesc, Moreno-González, Rafael, Kostka, Tomasz, Guligowska, Agnieszka, Ärnlöv, Johan, Carlsson, Axel C, Freiberger, Ellen, and Melzer, Itshak

Abstract

A longitudinal alteration in health-related quality of life (HRQoL) over a two-year period and its association with early-stage chronic kidney disease (CKD) progression was investigated among 1748 older adults (>75 years). HRQoL was measured by the Euro-Quality of Life Visual Analog Scale (EQ-VAS) at baseline and at one and two years after recruitment. A full comprehensive geriatric assessment was performed, including sociodemographic and clinical characteristics, the Geriatric Depression Scale-Short Form (GDS-SF), Short Physical Performance Battery (SPPB), and estimated glomerular filtration rate (eGFR). The association between EQ-VAS decline and covariates was investigated by multivariable analyses. A total of 41% of the participants showed EQ-VAS decline, and 16.3% showed kidney function decline over the two-year follow-up period. Participants with EQ-VAS decline showed an increase in GDS-SF scores and a greater decline in SPPB scores. The logistic regression analyses showed no contribution of a decrease in kidney function on EQ-VAS decline in the early stages of CKD. However, older adults with a greater GDS-SF score were more likely to present EQ-VAS decline over time, whereas an increase in the SPPB scores was associated with less EQ-VAS decline. This finding should be considered in clinical practice and when HRQoL is used to evaluate health interventions among older adults.

Published
2023
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32. Quality of Life and Kidney Function in Older Adults:Prospective Data of the SCOPE Study

Author

Artzi-Medvedik, Rada, Kob, Robert, Di Rosa, Mirko, Lattanzio, Fabrizia, Corsonello, Andrea, Yehoshua, Ilan, Roller-Wirnsberger, Regina E., Wirnsberger, Gerhard H., Mattace-Raso, Francesco U.S., Tap, Lisanne, Gil, Pedro G., Formiga, Francesc, Moreno-González, Rafael, Kostka, Tomasz, Guligowska, Agnieszka, Ärnlöv, Johan, Carlsson, Axel C., Freiberger, Ellen, Melzer, Itshak, Artzi-Medvedik, Rada, Kob, Robert, Di Rosa, Mirko, Lattanzio, Fabrizia, Corsonello, Andrea, Yehoshua, Ilan, Roller-Wirnsberger, Regina E., Wirnsberger, Gerhard H., Mattace-Raso, Francesco U.S., Tap, Lisanne, Gil, Pedro G., Formiga, Francesc, Moreno-González, Rafael, Kostka, Tomasz, Guligowska, Agnieszka, Ärnlöv, Johan, Carlsson, Axel C., Freiberger, Ellen, and Melzer, Itshak

Abstract

A longitudinal alteration in health-related quality of life (HRQoL) over a two-year period and its association with early-stage chronic kidney disease (CKD) progression was investigated among 1748 older adults (>75 years). HRQoL was measured by the Euro-Quality of Life Visual Analog Scale (EQ-VAS) at baseline and at one and two years after recruitment. A full comprehensive geriatric assessment was performed, including sociodemographic and clinical characteristics, the Geriatric Depression Scale-Short Form (GDS-SF), Short Physical Performance Battery (SPPB), and estimated glomerular filtration rate (eGFR). The association between EQ-VAS decline and covariates was investigated by multivariable analyses. A total of 41% of the participants showed EQ-VAS decline, and 16.3% showed kidney function decline over the two-year follow-up period. Participants with EQ-VAS decline showed an increase in GDS-SF scores and a greater decline in SPPB scores. The logistic regression analyses showed no contribution of a decrease in kidney function on EQ-VAS decline in the early stages of CKD. However, older adults with a greater GDS-SF score were more likely to present EQ-VAS decline over time, whereas an increase in the SPPB scores was associated with less EQ-VAS decline. This finding should be considered in clinical practice and when HRQoL is used to evaluate health interventions among older adults.

Published
2023

36. Diminishing benefits of urban living for children and adolescents’ growth and development

Author

NCD Risk Factor Collaboration (NCD-RisC), [missing], Mishra, Anu, Zhou, Bin, Rodriguez-Martinez, Andrea, Bixby, Honor, Singleton, Rosie K., Carrillo-Larco, Rodrigo M., Sheffer, Kate E., Paciorek, Christopher J., Bennett, James E., Lhoste, Victor, Iurilli, Maria L. C., Di Cesare, Mariachiara, Bentham, James, Phelps, Nowell H., Sophiea, Marisa K., Stevens, Gretchen A., Danaei, Goodarz, Cowan, Melanie J., Savin, Stefan, Riley, Leanne M., Gregg, Edward W., Aekplakorn, Wichai, Ahmad, Noor Ani, Baker, Jennifer L., Chirita-Emandi, Adela, Farzadfar, Farshad, Fink, Günther, Heinen, Mirjam, Ikeda, Nayu, Kengne, Andre P., Khang, Young-Ho, Laatikainen, Tiina, Laxmaiah, Avula, Ma, Jun, Monroy-Valle, Michele, Mridha, Malay K., Padez, Cristina P., Reynolds, Andrew, Sorić, Maroje, Starc, Gregor, Wirth, James P., Abarca-Gómez, Leandra, Abdeen, Ziad A., Abdrakhmanova, Shynar, Ghaffar, Suhaila Abdul, Abdul Rahim, Hanan F., Abdurrahmonova, Zulfiya, Abu-Rmeileh, Niveen M., Garba, Jamila Abubakar, Acosta-Cazares, Benjamin, Adam, Ishag, Adamczyk, Marzena, Adams, Robert J., Adu-Afarwuah, Seth, Afsana, Kaosar, Afzal, Shoaib, Agbor, Valirie N., Agdeppa, Imelda A., Aghazadeh-Attari, Javad, Aguenaou, Hassan, Aguilar-Salinas, Carlos A., Agyemang, Charles, Ahmad, Mohamad Hasnan, Ahmadi, Ali, Ahmadi, Naser, Ahmadi, Nastaran, Ahmed, Imran, Ahmed, Soheir H., Ahrens, Wolfgang, Aitmurzaeva, Gulmira, Ajlouni, Kamel, Al-Hazzaa, Hazzaa M., Al-Lahou, Badreya, Al-Raddadi, Rajaa, Al Hourani, Huda M., Al Qaoud, Nawal M., Alarouj, Monira, AlBuhairan, Fadia, AlDhukair, Shahla, Aldwairji, Maryam A., Alexius, Sylvia, Ali, Mohamed M., Alkandari, Abdullah, Alkerwi, Ala’a, Alkhatib, Buthaina M., Allin, Kristine, Alvarez-Pedrerol, Mar, Aly, Eman, Amarapurkar, Deepak N., Etxezarreta, Pilar Amiano, Amoah, John, Amougou, Norbert, Amouyel, Philippe, Andersen, Lars Bo, Anderssen, Sigmund A., Androutsos, Odysseas, Ängquist, Lars, Anjana, Ranjit Mohan, Ansari-Moghaddam, Alireza, Anufrieva, Elena, Aounallah-Skhiri, Hajer, Araújo, Joana, Ariansen, Inger, Aris, Tahir, Arku, Raphael E., Arlappa, Nimmathota, Aryal, Krishna K., Aseffa, Nega, Aspelund, Thor, Assah, Felix K., Assembekov, Batyrbek, Assunção, Maria Cecília F., Aung, May Soe, Auvinen, Juha, Avdičová, Mária, Avi, Shina, Azevedo, Ana, Azimi-Nezhad, Mohsen, Azizi, Fereidoun, Azmin, Mehrdad, Babu, Bontha V., Jørgensen, Maja Bæksgaard, Baharudin, Azli, Bahijri, Suhad, Bakacs, Marta, Balakrishna, Nagalla, Balanova, Yulia, Bamoshmoosh, Mohamed, Banach, Maciej, Banegas, José R., Baran, Joanna, Baran, Rafał, Barbagallo, Carlo M., Filho, Valter Barbosa, Barceló, Alberto, Baretić, Maja, Barkat, Amina, Barnoya, Joaquin, Barrera, Lena, Barreto, Marta, Barros, Aluisio J. D., Barros, Mauro Virgílio Gomes, Bartosiewicz, Anna, Basit, Abdul, Bastos, Joao Luiz D., Bata, Iqbal, Batieha, Anwar M., Batista, Aline P., Batista, Rosangela L., Battakova, Zhamilya, Baur, Louise A., Bayauli, Pascal M., Beaglehole, Robert, Bel-Serrat, Silvia, Belavendra, Antonisamy, Ben Romdhane, Habiba, Benedics, Judith, Benet, Mikhail, Rolandi, Gilda Estela Benitez, Bere, Elling, Bergh, Ingunn Holden, Berhane, Yemane, Berkinbayev, Salim, Bernabe-Ortiz, Antonio, Bernotiene, Gailute, Carrasola, Ximena Berrios, Bettiol, Heloísa, Beutel, Manfred E., Beybey, Augustin F., Bezerra, Jorge, Bhagyalaxmi, Aroor, Bharadwaj, Sumit, Bhargava, Santosh K., Bi, Hongsheng, Bi, Yufang, Bia, Daniel, Biasch, Katia, Lele, Elysée Claude Bika, Bikbov, Mukharram M., Bista, Bihungum, Bjelica, Dusko J., Bjerregaard, Anne A., Bjerregaard, Peter, Bjertness, Espen, Bjertness, Marius B., Björkelund, Cecilia, Bloch, Katia V., Blokstra, Anneke, Magnazu, Moran Blychfeld, Bo, Simona, Bobak, Martin, Boddy, Lynne M., Boehm, Bernhard O., Boer, Jolanda M. A., Boggia, Jose G., Bogova, Elena, Boissonnet, Carlos P., Bojesen, Stig E., Bonaccio, Marialaura, Bongard, Vanina, Bonilla-Vargas, Alice, Bopp, Matthias, Borghs, Herman, Bovet, Pascal, Boymatova, Khadichamo, Braeckevelt, Lien, Braeckman, Lutgart, Bragt, Marjolijn C. E., Brajkovich, Imperia, Branca, Francesco, Breckenkamp, Juergen, Breda, João, Brenner, Hermann, Brewster, Lizzy M., Brian, Garry R., Briceño, Yajaira, Brinduse, Lacramioara, Brito, Miguel, Brophy, Sinead, Brug, Johannes, Bruno, Graziella, Bugge, Anna, Buntinx, Frank, Buoncristiano, Marta, Burazeri, Genc, Burns, Con, de León, Antonio Cabrera, Cacciottolo, Joseph, Cai, Hui, Caixeta, Roberta B., Cama, Tilema, Cameron, Christine, Camolas, José, Can, Günay, Cândido, Ana Paula C., Cañete, Felicia, Capanzana, Mario V., Čapková, Naděžda, Capuano, Eduardo, Capuano, Rocco, Capuano, Vincenzo, Cardol, Marloes, Cardoso, Viviane C., Carlsson, Axel C., Carmuega, Esteban, Carvalho, Joana, Casajús, José A., Casanueva, Felipe F., Casas, Maribel, Celikcan, Ertugrul, Censi, Laura, Cervantes‐Loaiza, Marvin, Cesar, Juraci A., Chamukuttan, Snehalatha, Chan, Angelique, Chan, Queenie, Chaturvedi, Himanshu K., Chaturvedi, Nish, Rahim, Norsyamlina Che Abdul, Chee, Miao Li, Chen, Chien-Jen, Chen, Fangfang, Chen, Huashuai, Chen, Shuohua, Chen, Zhengming, Cheng, Ching-Yu, Cheng, Yiling J., Cheraghian, Bahman, Chetrit, Angela, Chikova-Iscener, Ekaterina, Chinapaw, Mai J. M., Chinnock, Anne, Chiolero, Arnaud, Chiou, Shu-Ti, Chirlaque, María-Dolores, Cho, Belong, Christensen, Kaare, Christofaro, Diego G., Chudek, Jerzy, Cifkova, Renata, Cilia, Michelle, Cinteza, Eliza, Cirillo, Massimo, Claessens, Frank, Clarke, Janine, Clays, Els, Cohen, Emmanuel, Compañ-Gabucio, Laura-María, Concin, Hans, Confortin, Susana C., Cooper, Cyrus, Coppinger, Tara C., Corpeleijn, Eva, Cortés, Lilia Yadira, Costanzo, Simona, Cottel, Dominique, Cowell, Chris, Craig, Cora L., Crampin, Amelia C., Cross, Amanda J., Crujeiras, Ana B., Cruz, Juan J., Csányi, Tamás, Csilla, Semánová, Cucu, Alexandra M., Cui, Liufu, Cureau, Felipe V., Cuschieri, Sarah, Czenczek-Lewandowska, Ewelina, D’Arrigo, Graziella, d’Orsi, Eleonora, Dacica, Liliana, Dallongeville, Jean, Damasceno, Albertino, Damsgaard, Camilla T., Dankner, Rachel, Dantoft, Thomas M., Dasgupta, Parasmani, Dastgiri, Saeed, Dauchet, Luc, Davletov, Kairat, de Assis, Maria Alice Altenburg, De Backer, Gui, De Bacquer, Dirk, De Curtis, Amalia, de Fragas Hinnig, Patrícia, de Gaetano, Giovanni, De Henauw, Stefaan, De Miguel-Etayo, Pilar, de Oliveira, Paula Duarte, De Ridder, David, De Ridder, Karin, de Rooij, Susanne R., De Smedt, Delphine, Deepa, Mohan, Deev, Alexander D., DeGennaro, Vincent, Delisle, Hélène, Delpeuch, Francis, Demarest, Stefaan, Dennison, Elaine, Dereń, Katarzyna, Deschamps, Valérie, Dhimal, Meghnath, Di Castelnuovo, Augusto, Dias-da-Costa, Juvenal Soares, Díaz-Sánchez, María Elena, Diaz, Alejandro, Fernández, Pedro Díaz, Ripollés, María Pilar Díez, Dika, Zivka, Djalalinia, Shirin, Djordjic, Visnja, Do, Ha T. P., Dobson, Annette J., Dominguez, Liria, Donati, Maria Benedetta, Donfrancesco, Chiara, Dong, Guanghui, Dong, Yanhui, Donoso, Silvana P., Döring, Angela, Dorobantu, Maria, Dorosty, Ahmad Reza, Doua, Kouamelan, Dragano, Nico, Drygas, Wojciech, Duan, Jia Li, Duante, Charmaine A., Duboz, Priscilla, Duleva, Vesselka L., Dulskiene, Virginija, Dumith, Samuel C., Dushpanova, Anar, Dyussupova, Azhar, Dzerve, Vilnis, Dziankowska-Zaborszczyk, Elzbieta, Echeverría, Guadalupe, Eddie, Ricky, Eftekhar, Ebrahim, Egbagbe, Eruke E., Eggertsen, Robert, Eghtesad, Sareh, Eiben, Gabriele, Ekelund, Ulf, El-Khateeb, Mohammad, El Ammari, Laila, El Ati, Jalila, Eldemire-Shearer, Denise, Eliasen, Marie, Elliott, Paul, Endevelt, Ronit, Engle-Stone, Reina, Erasmus, Rajiv T., Erbel, Raimund, Erem, Cihangir, Ergor, Gul, Eriksen, Louise, Eriksson, Johan G., Escobedo-de la Peña, Jorge, Eslami, Saeid, Esmaeili, Ali, Evans, Alun, Faeh, David, Fakhradiyev, Ildar, Fakhretdinova, Albina A., Fall, Caroline H., Faramarzi, Elnaz, Farjam, Mojtaba, Sant’Angelo, Victoria Farrugia, Fattahi, Mohammad Reza, Fawwad, Asher, Fawzi, Wafaie W., Feigl, Edit, Felix-Redondo, Francisco J., Ferguson, Trevor S., Fernandes, Romulo A., Fernández-Bergés, Daniel, Ferrante, Daniel, Ferrao, Thomas, Ferrari, Gerson, Ferrari, Marika, Ferrario, Marco M., Ferreccio, Catterina, Ferreira, Haroldo S., Ferrer, Eldridge, Ferrieres, Jean, Figueiró, Thamara Hubler, Fijalkowska, Anna, Fisberg, Mauro, Fischer, Krista, Foo, Leng Huat, Forsner, Maria, Fouad, Heba M., Francis, Damian K., do Carmo Franco, Maria, Fras, Zlatko, Frontera, Guillermo, Fuchs, Flavio D., Fuchs, Sandra C., Fujiati, Isti I., Fujita, Yuki, Fumihiko, Matsuda, Furdela, Viktoriya, Furusawa, Takuro, Gaciong, Zbigniew, Gafencu, Mihai, Cuesta, Manuel Galán, Galbarczyk, Andrzej, Galenkamp, Henrike, Galeone, Daniela, Galfo, Myriam, Galvano, Fabio, Gao, Jingli, Gao, Pei, Garcia-de-la-Hera, Manoli, Mérida, María José García, Solano, Marta García, Gareta, Dickman, Garnett, Sarah P., Gaspoz, Jean-Michel, Gasull, Magda, Gaya, Adroaldo Cesar Araujo, Gaya, Anelise Reis, Gazzinelli, Andrea, Gehring, Ulrike, Geiger, Harald, Geleijnse, Johanna M., George, Ronnie, Ghaderi, Ebrahim, Ghanbari, Ali, Ghasemi, Erfan, Gheorghe-Fronea, Oana-Florentina, Gialluisi, Alessandro, Giampaoli, Simona, Gianfagna, Francesco, Gieger, Christian, Gill, Tiffany K., Giovannelli, Jonathan, Gironella, Glen, Giwercman, Aleksander, Gkiouras, Konstantinos, Glushkova, Natalya, Gluškova, Natalja, Godara, Ramesh, Godos, Justyna, Gogen, Sibel, Goldberg, Marcel, Goltzman, David, Gómez, Georgina, Gómez, Jesús Humberto Gómez, Gomez, Luis F., Gómez, Santiago F., Gomula, Aleksandra, da Silva, Bruna Gonçalves Cordeiro, Gonçalves, Helen, Gonçalves, Mauer, González-Alvarez, Ana D., Gonzalez-Chica, David A., González-Gil, Esther M., Gonzalez-Gross, Marcela, González-Leon, Margot, González-Rivas, Juan P., González-Villalpando, Clicerio, González-Villalpando, María-Elena, Gonzalez, Angel R., Gottrand, Frederic, Graça, Antonio Pedro, Graff-Iversen, Sidsel, Grafnetter, Dušan, Grajda, Aneta, Grammatikopoulou, Maria G., Gregor, Ronald D., Gregório, Maria João, Grøholt, Else Karin, Grøntved, Anders, Grosso, Giuseppe, Gruden, Gabriella, Gu, Dongfeng, Guajardo, Viviana, Gualdi-Russo, Emanuela, Guallar-Castillón, Pilar, Gualtieri, Andrea, Gudmundsson, Elias F., Gudnason, Vilmundur, Guerrero, Ramiro, Guessous, Idris, Guimaraes, Andre L., Gulliford, Martin C., Gunnlaugsdottir, Johanna, Gunter, Marc J., Guo, Xiu-Hua, Guo, Yin, Gupta, Prakash C., Gupta, Rajeev, Gureje, Oye, González, Enrique Gutiérrez, Gutierrez, Laura, Gutzwiller, Felix, Gwee, Xinyi, Ha, Seongjun, Hadaegh, Farzad, Hadjigeorgiou, Charalambos A., Haghshenas, Rosa, Hakimi, Hamid, Halkjær, Jytte, Hambleton, Ian R., Hamzeh, Behrooz, Hanekom, Willem A., Hange, Dominique, Hanif, Abu A. M., Hantunen, Sari, Hao, Jie, Hardman, Carla Menêses, Kumar, Rachakulla Hari, Lassen, Tina Harmer, Harooni, Javad, Hashemi-Shahri, Seyed Mohammad, Hassapidou, Maria, Hata, Jun, Haugsgjerd, Teresa, Hayes, Alison J., He, Jiang, He, Yuan, He, Yuna, Heidinger-Felső, Regina, Heier, Margit, Hejgaard, Tatjana, Hendriks, Marleen Elisabeth, dos Santos Henrique, Rafael, Henriques, Ana, Cadena, Leticia Hernandez, Herrala, Sauli, Herrera-Cuenca, Marianella, Herrera, Victor M., Herter-Aeberli, Isabelle, Herzig, Karl-Heinz, Heshmat, Ramin, Hill, Allan G., Ho, Sai Yin, Ho, Suzanne C., Hobbs, Michael, Höfelmann, Doroteia A., Holdsworth, Michelle, Homayounfar, Reza, Homs, Clara, Hopman, Wilma M., Horimoto, Andrea R. V. R., Hormiga, Claudia M., Horta, Bernardo L., Houti, Leila, Howitt, Christina, Htay, Thein Thein, Htet, Aung Soe, Htike, Maung Maung Than, Hu, Yonghua, Huerta, José María, Huhtaniemi, Ilpo Tapani, Huiart, Laetitia, Petrescu, Constanta Huidumac, Huisman, Martijn, Husseini, Abdullatif, Huu, Chinh Nguyen, Huybrechts, Inge, Hwalla, Nahla, Hyska, Jolanda, Iacoviello, Licia, Iakupova, Ellina M., Ibarluzea, Jesús M., Ibrahim, Mohsen M., Wong, Norazizah Ibrahim, Ikram, M. Arfan, Iñiguez, Carmen, Iotova, Violeta, Irazola, Vilma E., Ishida, Takafumi, Isiguzo, Godsent C., Islam, Muhammad, Islam, Sheikh Mohammed Shariful, Islek, Duygu, Ivanova-Pandourska, Ivaila Y., Iwasaki, Masanori, Jääskeläinen, Tuija, Jackson, Rod T., Jacobs, Jeremy M., Jadoul, Michel, Jafar, Tazeen, Jallow, Bakary, James, Kenneth, Jamil, Kazi M., Jamrozik, Konrad, Jansson, Anna, Janszky, Imre, Janus, Edward, Jarani, Juel, Jarvelin, Marjo-Riitta, Jasienska, Grazyna, Jelaković, Ana, Jelaković, Bojan, Jennings, Garry, Jiang, Chao Qiang, Jimenez, Ramon O., Jöckel, Karl-Heinz, Joffres, Michel, Jokelainen, Jari J., Jonas, Jost B., Jonnagaddala, Jitendra, Jørgensen, Torben, Joshi, Pradeep, Josipović, Josipa, Joukar, Farahnaz, Jóźwiak, Jacek J., Judge, Debra S., Juolevi, Anne, Jurak, Gregor, Simina, Iulia Jurca, Juresa, Vesna, Kaaks, Rudolf, Kaducu, Felix O., Kafatos, Anthony, Kaj, Mónika, Kajantie, Eero O., Kakutia, Natia, Kállayová, Daniela, Kalmatayeva, Zhanna, Kalter-Leibovici, Ofra, Kameli, Yves, Kampmann, Freja B., Kanala, Kodanda R., Kannan, Srinivasan, Kapantais, Efthymios, Karaglani, Eva, Karakosta, Argyro, Kårhus, Line L., Karki, Khem B., Katchunga, Philippe B., Katibeh, Marzieh, Katz, Joanne, Katzmarzyk, Peter T., Kauhanen, Jussi, Kaur, Prabhdeep, Kavousi, Maryam, Kazakbaeva, Gyulli M., Kaze, François F., Ke, Calvin, Keil, Ulrich, Boker, Lital Keinan, Keinänen-Kiukaanniemi, Sirkka, Kelishadi, Roya, Kelleher, Cecily, Kemper, Han C. G., Keramati, Maryam, Kerimkulova, Alina, Kersting, Mathilde, Key, Timothy, Khader, Yousef Saleh, Khaledifar, Arsalan, Khalili, Davood, Khaw, Kay-Tee, Kheiri, Bahareh, Kheradmand, Motahareh, Khosravi, Alireza, Khouw, Ilse M. S. L., Kiechl-Kohlendorfer, Ursula, Kiechl, Sophia J., Kiechl, Stefan, Killewo, Japhet, Kim, Hyeon Chang, Kim, Jeongseon, Kindblom, Jenny M., Kingston, Andrew, Klakk, Heidi, Klimek, Magdalena, Klimont, Jeannette, Klumbiene, Jurate, Knoflach, Michael, Koirala, Bhawesh, Kolle, Elin, Kolsteren, Patrick, König, Jürgen, Korpelainen, Raija, Korrovits, Paul, Korzycka, Magdalena, Kos, Jelena, Koskinen, Seppo, Kouda, Katsuyasu, Kovács, Éva, Kovacs, Viktoria Anna, Kovalskys, Irina, Kowlessur, Sudhir, Koziel, Slawomir, Kratenova, Jana, Kratzer, Wolfgang, Kriaucioniene, Vilma, Kriemler, Susi, Kristensen, Peter Lund, Krizan, Helena, Kroker-Lobos, Maria F., Krokstad, Steinar, Kromhout, Daan, Kruger, Herculina S., Kruger, Ruan, Kryst, Łukasz, Kubinova, Ruzena, Kuciene, Renata, Kujala, Urho M., Kujundzic, Enisa, Kulaga, Zbigniew, Kulimbet, Mukhtar, Kumar, R. Krishna, Kunešová, Marie, Kurjata, Pawel, Kusuma, Yadlapalli S., Kutsenko, Vladimir, Kuulasmaa, Kari, Kyobutungi, Catherine, La, Quang Ngoc, Laamiri, Fatima Zahra, Lachat, Carl, Lackner, Karl J., Laid, Youcef, Lall, Lachmie, Lam, Tai Hing, Jimenez, Maritza Landaeta, Landais, Edwige, Lanska, Vera, Lappas, Georg, Larijani, Bagher, Larissa, Simo Pone, Latt, Tint Swe, Laurenzi, Martino, Lauria, Laura, Lazo-Porras, Maria, Le Coroller, Gwenaëlle, Le Nguyen Bao, Khanh, Le Port, Agnès, Le, Tuyen D., Lee, Jeannette, Lee, Jeonghee, Lee, Paul H., Lehmann, Nils, Lehtimäki, Terho, Lemogoum, Daniel, Leskošek, Branimir, Leszczak, Justyna, Leth-Møller, Katja B., Leung, Gabriel M., Levitt, Naomi S., Li, Yanping, Liivak, Merike, Lilly, Christa L., Lim, Charlie, Lim, Wei-Yen, Lima-Costa, M. Fernanda, Lin, Hsien-Ho, Lin, Xu, Lin, Yi-Ting, Lind, Lars, Lingam, Vijaya, Linkohr, Birgit, Linneberg, Allan, Lissner, Lauren, Litwin, Mieczyslaw, Liu, Jing, Liu, Lijuan, Lo, Wei-Cheng, Loit, Helle-Mai, Long, Khuong Quynh, Abril, Guadalupe Longo, Lopes, Luis, Lopes, Marcus V. V., Lopes, Oscar, Lopez-Garcia, Esther, Lopez, Tania, Lotufo, Paulo A., Lozano, José Eugenio, Lukrafka, Janice L., Luksiene, Dalia, Lundqvist, Annamari, Lunet, Nuno, Lunogelo, Charles, Lustigová, Michala, Łuszczki, Edyta, M’Buyamba-Kabangu, Jean-René, Ma, Guansheng, Ma, Xu, Machado-Coelho, George L. L., Machado-Rodrigues, Aristides M., Macia, Enguerran, Macieira, Luisa M., Madar, Ahmed A., Madsen, Anja L., Maestre, Gladys E., Maggi, Stefania, Magliano, Dianna J., Magnacca, Sara, Magriplis, Emmanuella, Mahasampath, Gowri, Maire, Bernard, Majer, Marjeta, Makdisse, Marcia, Mäki, Päivi, Malekzadeh, Fatemeh, Malekzadeh, Reza, Malhotra, Rahul, Rao, Kodavanti Mallikharjuna, Malyutina, Sofia K., Maniego, Lynell V., Manios, Yannis, Manix, Masimango Imani, Mann, Jim I., Mansour-Ghanaei, Fariborz, Manyanga, Taru, Manzato, Enzo, Marcil, Anie, Margozzini, Paula, Mariño, Joany, Markaki, Anastasia, Markey, Oonagh, Ioannidou, Eliza Markidou, Marques-Vidal, Pedro, Marques, Larissa Pruner, Marrugat, Jaume, Martin-Prevel, Yves, Martin, Rosemarie, Martorell, Reynaldo, Martos, Eva, Maruszczak, Katharina, Marventano, Stefano, Masala, Giovanna, Mascarenhas, Luis P., Masoodi, Shariq R., Mathiesen, Ellisiv B., Mathur, Prashant, Matijasevich, Alicia, Matłosz, Piotr, Matsha, Tandi E., Matsudo, Victor, Mavrogianni, Christina, Mazur, Artur, Mbanya, Jean Claude N., McFarlane, Shelly R., McGarvey, Stephen T., McKee, Martin, McLachlan, Stela, McLean, Rachael M., McLean, Scott B., McNairy, Margaret L., McNulty, Breige A., Benchekor, Sounnia Mediene, Medzioniene, Jurate, Mehdipour, Parinaz, Mehlig, Kirsten, Mehrparvar, Amir Houshang, Meirhaeghe, Aline, Meisfjord, Jørgen, Meisinger, Christa, Melgarejo, Jesus D., Melkumova, Marina, Mello, João, Méndez, Fabián, Mendivil, Carlos O., Menezes, Ana Maria B., Menon, Geetha R., Mensink, Gert B. M., Menzano, Maria Teresa, Meshram, Indrapal I., Meto, Diane T., Mi, Jie, Michaelsen, Kim F., Michels, Nathalie, Mikkel, Kairit, Miłkowska, Karolina, Miller, Jody C., Milushkina, Olga, Minderico, Cláudia S., Mini, G. K., Miquel, Juan Francisco, Miranda, J. Jaime, Mirjalili, Mohammad Reza, Mirkopoulou, Daphne, Mirrakhimov, Erkin, Mišigoj-Duraković, Marjeta, Mistretta, Antonio, Mocanu, Veronica, Modesti, Pietro A., Moghaddam, Sahar Saeedi, Mohajer, Bahram, Mohamed, Mostafa K., Mohamed, Shukri F., Mohammad, Kazem, Mohammadi, Mohammad Reza, Mohammadi, Zahra, Mohammadifard, Noushin, Mohammadpourhodki, Reza, Mohan, Viswanathan, Mohanna, Salim, Yusoff, Muhammad Fadhli Mohd, Mohebbi, Iraj, Mohebi, Farnam, Moitry, Marie, Møllehave, Line T., Møller, Niels C., Molnár, Dénes, Momenan, Amirabbas, Mondo, Charles K., Montenegro Mendoza, Roger A., Monterrubio-Flores, Eric, Monyeki, Kotsedi Daniel K., Moon, Jin Soo, Moosazadeh, Mahmood, Mopa, Hermine T., Moradpour, Farhad, Moreira, Leila B., Morejon, Alain, Moreno, Luis A., Morey, Francis, Morgan, Karen, Morin, Suzanne N., Mortensen, Erik Lykke, Moschonis, George, Moslem, Alireza, Mossakowska, Malgorzata, Mostafa, Aya, Mostafavi, Seyed-Ali, Mota-Pinto, Anabela, Mota, Jorge, Motlagh, Mohammad Esmaeel, Motta, Jorge, Moura-dos-Santos, Marcos André, Movsesyan, Yeva, Msyamboza, Kelias P., Mu, Thet Thet, Muc, Magdalena, Muca, Florian, Mugoša, Boban, Muiesan, Maria L., Müller-Nurasyid, Martina, Münzel, Thomas, Mursu, Jaakko, Murtagh, Elaine M., Musa, Kamarul Imran, Milanović, Sanja Musić, Musil, Vera, Musinguzi, Geofrey, Muyer, Muel Telo M. C., Nabipour, Iraj, Naderimagham, Shohreh, Nagel, Gabriele, Najafi, Farid, Nakamura, Harunobu, Nalecz, Hanna, Námešná, Jana, Nang, Ei Ei K., Nangia, Vinay B., Nankap, Martin, Narake, Sameer, Nardone, Paola, Naseri, Take, Nauck, Matthias, Neal, William A., Nejatizadeh, Azim, Nekkantti, Chandini, Nelis, Keiu, Nenko, Ilona, Neovius, Martin, Nervi, Flavio, Ng, Tze Pin, Nguyen, Chung T., Nguyen, Nguyen D., Nguyen, Quang Ngoc, Ni, Michael Y., Nicolescu, Rodica, Nie, Peng, Nieto-Martínez, Ramfis E., Nikitin, Yury P., Ning, Guang, Ninomiya, Toshiharu, Nishi, Nobuo, Nishtar, Sania, Noale, Marianna, Noboa, Oscar A., Nogueira, Helena, Nordendahl, Maria, Nordestgaard, Børge G., Noto, Davide, Nowak-Szczepanska, Natalia, Nsour, Mohannad Al, Nuhoğlu, Irfan, Nunes, Baltazar, Nurk, Eha, Nuwaha, Fred, Nyirenda, Moffat, O’Neill, Terence W., O’Reilly, Dermot, Obreja, Galina, Ochimana, Caleb, Ochoa-Avilés, Angélica M., Oda, Eiji, Odili, Augustine N., Oh, Kyungwon, Ohara, Kumiko, Ohlsson, Claes, Ohtsuka, Ryutaro, Olafsson, Örn, Olinto, Maria Teresa A., Oliveira, Isabel O., Omar, Mohd Azahadi, Omar, Saeed M., Onat, Altan, Ong, Sok King, Onland-Moret, N. Charlotte, Ono, Lariane M., Ordunez, Pedro, Ornelas, Rui, Ortiz, Ana P., Ortiz, Pedro J., Osler, Merete, Osmond, Clive, Ostojic, Sergej M., Ostovar, Afshin, Otero, Johanna A., Overvad, Kim, Owusu-Dabo, Ellis, Paccaud, Fred Michel, Pagkalos, Ioannis, Pahomova, Elena, de Paiva, Karina Mary, Pająk, Andrzej, Palloni, Alberto, Palmieri, Luigi, Pan, Wen-Harn, Panda-Jonas, Songhomitra, Pandey, Arvind, Panza, Francesco, Paoli, Mariela, Papadopoulou, Sousana K., Papandreou, Dimitrios, Pareja, Rossina G., Park, Soon-Woo, Park, Suyeon, Parnell, Winsome R., Parsaeian, Mahboubeh, Pascanu, Ionela M., Pasquet, Patrick, Patel, Nikhil D., Pattussi, Marcos, Pavlyshyn, Halyna, Pechlaner, Raimund, Pećin, Ivan, Pednekar, Mangesh S., Pedro, João M., Peer, Nasheeta, Peixoto, Sergio Viana, Peltonen, Markku, Pereira, Alexandre C., Peres, Marco A., Pérez, Cynthia M., Peterkova, Valentina, Peters, Annette, Petersmann, Astrid, Petkeviciene, Janina, Petrauskiene, Ausra, Kovtun, Olga Petrovna, Pettenuzzo, Emanuela, Peykari, Niloofar, Pfeiffer, Norbert, Phall, Modou Cheyassin, Pham, Son Thai, Pichardo, Rafael N., Pierannunzio, Daniela, Pigeot, Iris, Pikhart, Hynek, Pilav, Aida, Pilotto, Lorenza, Pistelli, Francesco, Pitakaka, Freda, Piwonska, Aleksandra, Pizarro, Andreia N., Plans-Rubió, Pedro, Platonova, Alina G., Poh, Bee Koon, Pohlabeln, Hermann, Polka, Nadija S., Pop, Raluca M., Popovic, Stevo R., Porta, Miquel, Posch, Georg, Poudyal, Anil, Poulimeneas, Dimitrios, Pouraram, Hamed, Pourfarzi, Farhad, Pourshams, Akram, Poustchi, Hossein, Pradeepa, Rajendra, Price, Alison J., Price, Jacqueline F., Prista, Antonio, Providencia, Rui, Puder, Jardena J., Pudule, Iveta, Puiu, Maria, Punab, Margus, Qadir, Muhammed S., Qasrawi, Radwan F., Qorbani, Mostafa, Quintana, Hedley K., Quiroga-Padilla, Pedro J., Bao, Tran Quoc, Rach, Stefan, Radic, Ivana, Radisauskas, Ricardas, Rahimikazerooni, Salar, Rahman, Mahfuzar, Rahman, Mahmudur, Raitakari, Olli, Raj, Manu, Rajabov, Tamerlan, Rakhmatulloev, Sherali, Rakovac, Ivo, Rao, Sudha Ramachandra, Ramachandran, Ambady, Ramadan, Otim P. C., Ramires, Virgílio V., Ramke, Jacqueline, Ramos, Elisabete, Ramos, Rafel, Rampal, Lekhraj, Rampal, Sanjay, Rangelova, Lalka S., Rarra, Vayia, Rascon-Pacheco, Ramon A., Rech, Cassiano Ricardo, Redon, Josep, Reganit, Paul Ferdinand M., Regecová, Valéria, Renner, Jane D. P., Repasy, Judit A., Reuter, Cézane P., Revilla, Luis, Rezaianzadeh, Abbas, Rho, Yeunsook, Ribas-Barba, Lourdes, Ribeiro, Robespierre, Riboli, Elio, Richter, Adrian, Rigo, Fernando, Rigotti, Attilio, Rinaldo, Natascia, Rinke de Wit, Tobias F., Rito, Ana I., Ritti-Dias, Raphael M., Rivera, Juan A., Roa, Reina G., Robinson, Louise, Robitaille, Cynthia, Roccaldo, Romana, Rodrigues, Daniela, Rodríguez-Artalejo, Fernando, del Cristo Rodriguez-Perez, María, Rodríguez-Villamizar, Laura A., Rodríguez, Andrea Y., Roggenbuck, Ulla, Rohloff, Peter, Rohner, Fabian, Rojas-Martinez, Rosalba, Rojroongwasinkul, Nipa, Romaguera, Dora, Romeo, Elisabetta L., Rosario, Rafaela V., Rosengren, Annika, Rouse, Ian, Rouzier, Vanessa, Roy, Joel G. R., Ruano, Maira H., Rubinstein, Adolfo, Rühli, Frank J., Ruidavets, Jean-Bernard, Ruiz-Betancourt, Blanca Sandra, Ruiz-Castell, Maria, Moreno, Emma Ruiz, Rusakova, Iuliia A., Jonsson, Kenisha Russell, Russo, Paola, Rust, Petra, Rutkowski, Marcin, Saamel, Marge, Sabanayagam, Charumathi, Sabbaghi, Hamideh, Sacchini, Elena, Sachdev, Harshpal S., Sadjadi, Alireza, Safarpour, Ali Reza, Safi, Sare, Safiri, Saeid, Saghi, Mohammad Hossien, Saidi, Olfa, Saki, Nader, Šalaj, Sanja, Salanave, Benoit, Martinez, Eduardo Salazar, Saleva, Calogero, Salmerón, Diego, Salomaa, Veikko, Salonen, Jukka T., Salvetti, Massimo, Samoutian, Margarita, Sánchez-Abanto, Jose, Rodríguez, Inés Sánchez, Sandjaja, [missing], Sans, Susana, Marina, Loreto Santa, Santacruz, Ethel, Santos, Diana A., Santos, Ina S., Santos, Lèlita C., Santos, Maria Paula, Santos, Osvaldo, Santos, Rute, Santos, Tamara R., Saramies, Jouko L., Sardinha, Luis B., Sarrafzadegan, Nizal, Sathish, Thirunavukkarasu, Saum, Kai-Uwe, Savva, Savvas, Savy, Mathilde, Sawada, Norie, Sbaraini, Mariana, Scazufca, Marcia, Schaan, Beatriz D., Rosario, Angelika Schaffrath, Schargrodsky, Herman, Schienkiewitz, Anja, Schindler, Karin, Schipf, Sabine, Schmidt, Carsten O., Schmidt, Ida Maria, Schneider, Andrea, Schnohr, Peter, Schöttker, Ben, Schramm, Sara, Schramm, Stine, Schröder, Helmut, Schultsz, Constance, Schulze, Matthias B., Schutte, Aletta E., Sebert, Sylvain, Sedaghattalab, Moslem, Selamat, Rusidah, Sember, Vedrana, Sen, Abhijit, Senbanjo, Idowu O., Sepanlou, Sadaf G., Sequera, Guillermo, Serra-Majem, Luis, Servais, Jennifer, Ševčíková, Ľudmila, Shalnova, Svetlana, Shamah-Levy, Teresa, Shamshirgaran, Seyed Morteza, Shanthirani, Coimbatore Subramaniam, Sharafkhah, Maryam, Sharma, Sanjib K., Shaw, Jonathan E., Shayanrad, Amaneh, Shayesteh, Ali Akbar, Shengelia, Lela, Shi, Zumin, Shibuya, Kenji, Shimizu-Furusawa, Hana, Shimony, Tal, Shiri, Rahman, Shrestha, Namuna, Si-Ramlee, Khairil, Siani, Alfonso, Siantar, Rosalynn, Sibai, Abla M., Sidossis, Labros S., Silitrari, Natalia, Silva, Antonio M., de Moura Silva, Caroline Ramos, Silva, Diego Augusto Santos, Silva, Kelly S., Sim, Xueling, Simon, Mary, Simons, Judith, Simons, Leon A., Sjöberg, Agneta, Sjöström, Michael, Skoblina, Natalia A., Skodje, Gry, Slazhnyova, Tatyana, Slowikowska-Hilczer, Jolanta, Slusarczyk, Przemysław, Smeeth, Liam, So, Hung-Kwan, Soares, Fernanda Cunha, Sobek, Grzegorz, Sobngwi, Eugène, Sodemann, Morten, Söderberg, Stefan, Soekatri, Moesijanti Y. E., Soemantri, Agustinus, Sofat, Reecha, Solfrizzi, Vincenzo, Somi, Mohammad Hossein, Sonestedt, Emily, Song, Yi, Soofi, Sajid, Sørensen, Thorkild I. A., Sørgjerd, Elin P., Jérome, Charles Sossa, Soto-Rojas, Victoria E., Soumaré, Aïcha, Sousa-Poza, Alfonso, Sovic, Slavica, Sparboe-Nilsen, Bente, Sparrenberger, Karen, Spencer, Phoebe R., Spinelli, Angela, Spiroski, Igor, Staessen, Jan A., Stamm, Hanspeter, Staub, Kaspar, Stavreski, Bill, Steene-Johannessen, Jostein, Stehle, Peter, Stein, Aryeh D., Stergiou, George S., Stessman, Jochanan, Stevanović, Ranko, Stieber, Jutta, Stöckl, Doris, Stokwiszewski, Jakub, Stoyanova, Ekaterina, Stratton, Gareth, Stronks, Karien, Strufaldi, Maria Wany, Sturua, Lela, Suárez-Medina, Ramón, Suka, Machi, Sun, Chien-An, Sun, Liang, Sundström, Johan, Sung, Yn-Tz, Sunyer, Jordi, Suriyawongpaisal, Paibul, Sweis, Nabil William G., Swinburn, Boyd A., Sy, Rody G., Sylva, René Charles, Szklo, Moyses, Szponar, Lucjan, Tabone, Lorraine, Tai, E. Shyong, Tambalis, Konstantinos D., Tammesoo, Mari-Liis, Tamosiunas, Abdonas, Tan, Eng Joo, Tang, Xun, Tanrygulyyeva, Maya, Tanser, Frank, Tao, Yong, Tarawneh, Mohammed Rasoul, Tarp, Jakob, Tarqui-Mamani, Carolina B., Braunerová, Radka Taxová, Taylor, Anne, Taylor, Julie, Tchibindat, Félicité, Te Velde, Saskia, Tebar, William R., Tell, Grethe S., Tello, Tania, Tham, Yih Chung, Thankappan, K. R., Theobald, Holger, Theodoridis, Xenophon, Thomas, Nihal, Thorand, Barbara, Thuesen, Betina H., Tichá, Ľubica, Timmermans, Erik J., Tjandrarini, Dwi H., Tjonneland, Anne, Tolonen, Hanna K., Tolstrup, Janne S., Topbas, Murat, Topór-Mądry, Roman, Torheim, Liv Elin, Tormo, María José, Tornaritis, Michael J., Torrent, Maties, Torres-Collado, Laura, Toselli, Stefania, Touloumi, Giota, Traissac, Pierre, Tran, Thi Tuyet-Hanh, Tremblay, Mark S., Triantafyllou, Areti, Trichopoulos, Dimitrios, Trichopoulou, Antonia, Trinh, Oanh T. H., Trivedi, Atul, Tsao, Yu-Hsiang, Tshepo, Lechaba, Tsigga, Maria, Tsintavis, Panagiotis, Tsugane, Shoichiro, Tuitele, John, Tuliakova, Azaliia M., Tulloch-Reid, Marshall K., Tullu, Fikru, Tuomainen, Tomi-Pekka, Tuomilehto, Jaakko, Turley, Maria L., Twig, Gilad, Tynelius, Per, Tzala, Evangelia, Tzotzas, Themistoklis, Tzourio, Christophe, Ueda, Peter, Ugel, Eunice, Ukoli, Flora A. M., Ulmer, Hanno, Unal, Belgin, Usupova, Zhamyila, Uusitalo, Hannu M. T., Uysal, Nalan, Vaitkeviciute, Justina, Valdivia, Gonzalo, Vale, Susana, Valvi, Damaskini, van Dam, Rob M., van den Born, Bert-Jan, Van der Heyden, Johan, van der Schouw, Yvonne T., Van Herck, Koen, Van Lippevelde, Wendy, Van Minh, Hoang, Van Schoor, Natasja M., van Valkengoed, Irene G. M., Vanderschueren, Dirk, Vanuzzo, Diego, Varbo, Anette, Varela-Moreiras, Gregorio, Vargas, Luz Nayibe, Varona-Pérez, Patricia, Vasan, Senthil K., Vasques, Daniel G., Vega, Tomas, Veidebaum, Toomas, Velasquez-Melendez, Gustavo, Velika, Biruta, Verloigne, Maïté, Veronesi, Giovanni, Verschuren, W. M. Monique, Victora, Cesar G., Viegi, Giovanni, Viet, Lucie, Vik, Frøydis N., Vilar, Monica, Villalpando, Salvador, Vioque, Jesus, Virtanen, Jyrki K., Visvikis-Siest, Sophie, Viswanathan, Bharathi, Vladulescu, Mihaela, Vlasoff, Tiina, Vocanec, Dorja, Vollenweider, Peter, Völzke, Henry, Voutilainen, Ari, Vrijheid, Martine, Vrijkotte, Tanja G. M., Wade, Alisha N., Waldhör, Thomas, Walton, Janette, Wambiya, Elvis O. A., Bebakar, Wan Mohamad Wan, Mohamud, Wan Nazaimoon Wan, de Souza Wanderley Júnior, Rildo, Wang, Ming-Dong, Wang, Ningli, Wang, Qian, Wang, Xiangjun, Wang, Ya Xing, Wang, Ying-Wei, Wannamethee, S. Goya, Wareham, Nicholas, Weber, Adelheid, Webster-Kerr, Karen, Wedderkopp, Niels, Weghuber, Daniel, Wei, Wenbin, Weres, Aneta, Werner, Bo, Westbury, Leo D., Whincup, Peter H., Wickramasinghe, Kremlin, Widhalm, Kurt, Widyahening, Indah S., Więcek, Andrzej, Wild, Philipp S., Wilks, Rainford J., Willeit, Johann, Willeit, Peter, Williams, Julianne, Wilsgaard, Tom, Wojciech, Rusek, Wojtyniak, Bogdan, Wolf, Kathrin, Wong-McClure, Roy A., Wong, Andrew, Wong, Emily B., Wong, Jyh Eiin, Wong, Tien Yin, Woo, Jean, Woodward, Mark, Wu, Frederick C., Wu, Hon-Yen, Wu, Jianfeng, Wu, Li Juan, Wu, Shouling, Wyszyńska, Justyna, Xu, Haiquan, Xu, Liang, Yaacob, Nor Azwany, Yamborisut, Uruwan, Yan, Weili, Yang, Ling, Yang, Xiaoguang, Yang, Yang, Yardim, Nazan, Yasuharu, Tabara, García, Martha Yépez, Yiallouros, Panayiotis K., Yngve, Agneta, Yoosefi, Moein, Yoshihara, Akihiro, You, Qi Sheng, You, San-Lin, Younger-Coleman, Novie O., Yu, Yu-Ling, Yu, Yunjiang, Yusof, Safiah Md, Yusoff, Ahmad Faudzi, Zaccagni, Luciana, Zafiropulos, Vassilis, Zainuddin, Ahmad A., Zakavi, Seyed Rasoul, Zamani, Farhad, Zambon, Sabina, Zampelas, Antonis, Zamrazilová, Hana, Zapata, Maria Elisa, Zargar, Abdul Hamid, Zaw, Ko Ko, Zayed, Ayman A., Zdrojewski, Tomasz, Żegleń, Magdalena, Zejglicova, Kristyna, Vrkic, Tajana Zeljkovic, Zeng, Yi, Zhang, Luxia, Zhang, Zhen-Yu, Zhao, Dong, Zhao, Ming-Hui, Zhao, Wenhua, Zhecheva, Yanitsa V., Zhen, Shiqi, Zheng, Wei, Zheng, Yingfeng, Zholdin, Bekbolat, Zhou, Maigeng, Zhu, Dan, Zins, Marie, Zitt, Emanuel, Zocalo, Yanina, Zoghlami, Nada, Cisneros, Julio Zuñiga, Zuziak, Monika, Bhutta, Zulfiqar A., Black, Robert E., and Ezzati, Majid

Subjects
Developing world, Public health, Multidisciplinary, Science General, Paediatric research, Nutrition
Abstract

Optimal growth and development in childhood and adolescence is crucial for lifelong health and well-being1–6. Here we used data from 2,325 population-based studies, with measurements of height and weight from 71 million participants, to report the height and body-mass index (BMI) of children and adolescents aged 5–19 years on the basis of rural and urban place of residence in 200 countries and territories from 1990 to 2020. In 1990, children and adolescents residing in cities were taller than their rural counterparts in all but a few high-income countries. By 2020, the urban height advantage became smaller in most countries, and in many high-income western countries it reversed into a small urban-based disadvantage. The exception was for boys in most countries in sub-Saharan Africa and in some countries in Oceania, south Asia and the region of central Asia, Middle East and north Africa. In these countries, successive cohorts of boys from rural places either did not gain height or possibly became shorter, and hence fell further behind their urban peers. The difference between the age-standardized mean BMI of children in urban and rural areas was

Published
2023

38. Inflammaging and Blood Pressure Profiles in Late Life: The Screening for CKD among Older People across Europe (SCOPE) Study

Author

Tap, Lisanne, primary, Corsonello, Andrea, additional, Di Rosa, Mirko, additional, Fabbietti, Paolo, additional, Formiga, Francesc, additional, Moreno-González, Rafael, additional, Ärnlöv, Johan, additional, Carlsson, Axel C., additional, Polinder-Bos, Harmke A., additional, Roller-Wirnsberger, Regina E., additional, Wirnsberger, Gerhard H., additional, Kostka, Tomasz, additional, Guligowska, Agnieszka, additional, Artzi-Medvedik, Rada, additional, Yehoshua, Ilan, additional, Weingart, Christian, additional, Sieber, Cornel C., additional, Gil, Pedro, additional, Lainez Martinez, Sara, additional, Lattanzio, Fabrizia, additional, and Mattace-Raso, Francesco U. S., additional

Published
2022
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42. Design and methodology of the screening for CKD among older patients across Europe (SCOPE) study: a multicenter cohort observational study

Author

Corsonello, Andrea, Tap, Lisanne, Roller-Wirnsberger, Regina, Wirnsberger, Gerhard, Zoccali, Carmine, Kostka, Tomasz, Guligowska, Agnieszka, Mattace-Raso, Francesco, Gil, Pedro, Fuentes, Lara Guardado, Meltzer, Itshak, Yehoshua, Ilan, Formiga-Perez, Francesc, Moreno-González, Rafael, Weingart, Christian, Freiberger, Ellen, Ärnlöv, Johan, Carlsson, Axel C., Bustacchini, Silvia, Lattanzio, Fabrizia, and on behalf of SCOPE investigators

Published
2018
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43. Cohort Profile: The Stockholm Diabetes Prevention Programme (SDPP)

Author

Gudjonsdottir, Hrafnhildur, primary, Tynelius, Per, additional, Fors, Stefan, additional, Yacamán Méndez, Diego, additional, Gebreslassie, Mihretab, additional, Zhou, Minhao, additional, Carlsson, Axel C, additional, Svefors, Pernilla, additional, Wändell, Per, additional, Östenson, Claes-Göran, additional, Brynedal, Boel, additional, and Lager, Anton, additional

Published
2022
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45. The relevance of geriatric assessments on the association between chronic kidney disease stages and mortality among older people : A secondary analysis of a multicentre cohort study

Author

Corsonello, Andrea, Soraci, Luca, Ärnlöv, Johan, Carlsson, Axel C., Roller-Wirnsberger, Regina, Wirnsberger, Gerhard, Mattace-Raso, Francesco, Tap, Lisanne, Rudholm Feldreich, Tobias, Lattanzio, Fabrizia, Corsonello, Andrea, Soraci, Luca, Ärnlöv, Johan, Carlsson, Axel C., Roller-Wirnsberger, Regina, Wirnsberger, Gerhard, Mattace-Raso, Francesco, Tap, Lisanne, Rudholm Feldreich, Tobias, and Lattanzio, Fabrizia

Abstract

Background: age-adapted definition of chronic kidney disease (CKD) does not take individual risk factors into account. We aimed at investigating whether functional impairments influence CKD stage at which mortality increases among older people. Methods: our series consisted of 2,372 outpatients aged 75 years or more enrolled in a multicentre international prospective cohort study. The study outcome was 24-month mortality. Kidney function was assessed by estimated glomerular filtration rate (eGFR) and albumin-to-creatinine ratio (ACR). Geriatric assessments included handgrip strength, short physical performance battery (SPPB), cognitive impairment, dependency in basic activities of daily living (BADL) and risk of malnutrition. Analysis was carried out by Cox regression, before and after stratification by individual functional impairments. Survival trees including kidney function and functional impairments were also investigated, and their predictivity assessed by C-index. Results: overall, mortality was found to increase starting from eGFR = 30-44.9 ml/min/1.73 m2 (hazard ratio [HR] = 3.28, 95% confidence interval [CI] = 1.81-5.95) to ACR = 30-300 mg/g (HR = 1.96, 95%CI = 1.23-3.10). However, in survival trees, an increased risk of mortality was observed among patients with impaired handgrip and eGFR = 45-59.9 ml/min/1.73 m2, as well as patients with ACR < 30 mg/g and impaired handgrip and SPPB. Survival tree leaf node membership had greater predictive accuracy (C-index = 0.81, 95%CI = 0.78-0.84 for the eGFR survival tree and C-index = 0.77, 95%CI = 0.71-0.81 for the ACR survival tree) in comparison with that of individual measures of kidney function. Conclusions: physical performance helps to identify a proportion of patients at an increased risk of mortality despite a mild-moderate impairment in kidney function and improves predictive accuracy of individual measures of kidney function. © 2022 The Author(s). Published by Oxford University Press on behalf of the B

Published
2022
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46. Cohort Profile : The Stockholm Diabetes Prevention Programme (SDPP)

Author

Gudjonsdottir, Hrafnhildur, Tynelius, Per, Fors, Stefan, Yacamán Méndez, Diego, Gebreslassie, Mihretab, Zhou, Minhao, Carlsson, Axel C., Svefors, Pernilla, Wändell, Per, Östenson, Claes-Göran, Brynedal, Boel, Lager, Anton, Gudjonsdottir, Hrafnhildur, Tynelius, Per, Fors, Stefan, Yacamán Méndez, Diego, Gebreslassie, Mihretab, Zhou, Minhao, Carlsson, Axel C., Svefors, Pernilla, Wändell, Per, Östenson, Claes-Göran, Brynedal, Boel, and Lager, Anton

Abstract

The Stockholm Diabetes Prevention Programme (SDPP) was established in the mid-1990s as a baseline for a community-based intervention aimed at primary prevention of type 2 diabetes (T2D). The intervention was found to be ineffective, but the cohort continues to contribute to our understanding of the pathogenesis of T2D and cardiometabolic risk factors. The cohort comprises 15 070 men and 19 416 women, born between 1938 and 1961, resident in five municipalities in Stockholm County, Sweden, at baseline. A sub-cohort answered a screening survey (10 236 men and 16 481 women), and a sub-cohort of those participated in a clinical examination (3128 men and 4821 women) at baseline (clinical cohort). The clinical cohort has been followed up after 10 years, when 2383 men and 3329 women participated, and after 20 years, when 1752 men and 2545 women participated. Socioeconomic, demographic and health-related register information was collected for all. The screening survey contains self-reported information on own and familial T2D. For the clinical cohort, we conducted oral glucose tolerance tests, drew blood and took blood pressures and anthropometric measurements. The participants also filled in questionnaires on lifestyle and psychosocial conditions. Data are available on request after ethical approval; information is available on the study webpage [Stockholm-Diabetes-Prevention-Programme-(SDPP)(regionstockholm.se)].

Published
2022
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47. Lung cancer prediction using machine learning on data from a symptom e-questionnaire for never smokers, formers smokers and current smokers

Author

Nemlander, Elinor, Rosenblad, Andreas, Abedi, Eliya, Ekman, Simon, Hasselström, Jan, Eriksson, Lars E., Carlsson, Axel C., Nemlander, Elinor, Rosenblad, Andreas, Abedi, Eliya, Ekman, Simon, Hasselström, Jan, Eriksson, Lars E., and Carlsson, Axel C.

Abstract

Purpose The aim of the present study was to investigate the predictive ability for lung cancer of symptoms reported in an adaptive e-questionnaire, separately for never smokers, former smokers, and current smokers. Patients and methods Consecutive patients referred for suspected lung cancer were recruited between September 2014 and November 2015 from the lung clinic at the Karolinska University Hospital, Stockholm, Sweden. A total of 504 patients were later diagnosed with lung cancer (n = 310) or no cancer (n = 194). All participants answered an adaptive e-questionnaire with a maximum of 342 items, covering background variables and symptoms/sensations suspected to be associated with lung cancer. Stochastic gradient boosting, stratified on smoking status, was used to train and test a model for predicting the presence of lung cancer. Results Among never smokers, 17 predictors contributed to predicting lung cancer with 82% of the patients being correctly classified, compared with 26 predictors with an accuracy of 77% among current smokers and 36 predictors with an accuracy of 63% among former smokers. Age, sex, and education level were the most important predictors in all models. Conclusion Methods or tools to assess the likelihood of lung cancer based on smoking status and to prioritize investigative and treatment measures among all patients seeking care with diffuse symptoms are much needed. Our study presents risk assessment models for patients with different smoking status that may be developed into clinical risk assessment tools that can help clinicians in assessing a patient's risk of having lung cancer.

Published
2022
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48. Inflammaging and Blood Pressure Profiles in Late Life : The Screening for CKD among Older People across Europe (SCOPE) Study

Author

Tap, Lisanne, Corsonello, Andrea, Di Rosa, Mirko, Fabbietti, Paolo, Formiga, Francesc, Moreno-González, Rafael, Ärnlöv, Johan, Carlsson, Axel C, Polinder-Bos, Harmke A, Mattace-Raso, Francesco U S, Tap, Lisanne, Corsonello, Andrea, Di Rosa, Mirko, Fabbietti, Paolo, Formiga, Francesc, Moreno-González, Rafael, Ärnlöv, Johan, Carlsson, Axel C, Polinder-Bos, Harmke A, and Mattace-Raso, Francesco U S

Abstract

The neutrophil-to-lymphocyte ratio (NLR) is a marker for systemic inflammation. Since inflammation plays a relevant role in vascular aging, the aim of this study was to investigate whether NLR is associated with blood pressure profiles in older adults. This study was performed within the framework of the SCOPE study including 2461 outpatients aged 75 years and over. Mean blood pressure values, namely systolic blood pressure (SBP), diastolic blood pressure (DBP) and pulse pressure (PP) were investigated across tertiles of NLR. Change in blood pressure levels in 2 years of follow-up were compared across categories of baseline NLR. Data of 2397 individuals were used, of which 1854 individuals had hypertension. Mean values of blood pressure did not differ across categories of baseline NLR in individuals without hypertension. Individuals with hypertension with a high-range NLR had lower SBP and PP when compared to those in low-range NLR (mean difference SBP -2.94 mmHg, p = 0.032 and PP -2.55 mmHg, p = 0.030). Mean change in blood pressure in 2 years did only slightly differ in non-clinically relevant ranges, when compared across tertiles of baseline NLR. NLR as a marker of inflammaging was not associated with unfavorable blood pressure profiles in older individuals with or without hypertension.

Published
2022
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49. Inflammaging and Blood Pressure Profiles in Late Life:The Screening for CKD among Older People across Europe (SCOPE) Study

Author

Tap, Lisanne, Corsonello, Andrea, Di Rosa, Mirko, Fabbietti, Paolo, Formiga, Francesc, Moreno-González, Rafael, Ärnlöv, Johan, Carlsson, Axel C., Polinder-Bos, Harmke A., Roller-Wirnsberger, Regina E., Wirnsberger, Gerhard H., Kostka, Tomasz, Guligowska, Agnieszka, Artzi-Medvedik, Rada, Yehoshua, Ilan, Weingart, Christian, Sieber, Cornel C., Gil, Pedro, Lainez Martinez, Sara, Lattanzio, Fabrizia, Mattace-Raso, Francesco U.S., Tap, Lisanne, Corsonello, Andrea, Di Rosa, Mirko, Fabbietti, Paolo, Formiga, Francesc, Moreno-González, Rafael, Ärnlöv, Johan, Carlsson, Axel C., Polinder-Bos, Harmke A., Roller-Wirnsberger, Regina E., Wirnsberger, Gerhard H., Kostka, Tomasz, Guligowska, Agnieszka, Artzi-Medvedik, Rada, Yehoshua, Ilan, Weingart, Christian, Sieber, Cornel C., Gil, Pedro, Lainez Martinez, Sara, Lattanzio, Fabrizia, and Mattace-Raso, Francesco U.S.

Abstract

The neutrophil-to-lymphocyte ratio (NLR) is a marker for systemic inflammation. Since inflammation plays a relevant role in vascular aging, the aim of this study was to investigate whether NLR is associated with blood pressure profiles in older adults. This study was performed within the framework of the SCOPE study including 2461 outpatients aged 75 years and over. Mean blood pressure values, namely systolic blood pressure (SBP), diastolic blood pressure (DBP) and pulse pressure (PP) were investigated across tertiles of NLR. Change in blood pressure levels in 2 years of follow-up were compared across categories of baseline NLR. Data of 2397 individuals were used, of which 1854 individuals had hypertension. Mean values of blood pressure did not differ across categories of baseline NLR in individuals without hypertension. Individuals with hypertension with a high-range NLR had lower SBP and PP when compared to those in low-range NLR (mean difference SBP −2.94 mmHg, p = 0.032 and PP −2.55 mmHg, p = 0.030). Mean change in blood pressure in 2 years did only slightly differ in non-clinically relevant ranges, when compared across tertiles of baseline NLR. NLR as a marker of inflammaging was not associated with unfavorable blood pressure profiles in older individuals with or without hypertension.

Published
2022

50. The relevance of geriatric assessments on the association between chronic kidney disease stages and mortality among older people:a secondary analysis of a multicentre cohort study

Author

Corsonello, Andrea, Soraci, Luca, Ärnlöv, Johan, Carlsson, Axel C., Roller-Wirnsberger, Regina, Wirnsberger, Gerhard, Mattace-Raso, Francesco, Tap, Lisanne, Formiga, Francesc, Moreno-González, Rafael, Kostka, Tomasz, Guligowska, Agnieszka, Artzi-Medvedik, Rada, Melzer, Itshak, Weingart, Christian, Sieber, Cornell, Lattanzio, Fabrizia, Corsonello, Andrea, Soraci, Luca, Ärnlöv, Johan, Carlsson, Axel C., Roller-Wirnsberger, Regina, Wirnsberger, Gerhard, Mattace-Raso, Francesco, Tap, Lisanne, Formiga, Francesc, Moreno-González, Rafael, Kostka, Tomasz, Guligowska, Agnieszka, Artzi-Medvedik, Rada, Melzer, Itshak, Weingart, Christian, Sieber, Cornell, and Lattanzio, Fabrizia

Abstract

BACKGROUND: age-adapted definition of chronic kidney disease (CKD) does not take individual risk factors into account. We aimed at investigating whether functional impairments influence CKD stage at which mortality increases among older people. METHODS: our series consisted of 2,372 outpatients aged 75 years or more enrolled in a multicentre international prospective cohort study. The study outcome was 24-month mortality. Kidney function was assessed by estimated glomerular filtration rate (eGFR) and albumin-to-creatinine ratio (ACR). Geriatric assessments included handgrip strength, short physical performance battery (SPPB), cognitive impairment, dependency in basic activities of daily living (BADL) and risk of malnutrition. Analysis was carried out by Cox regression, before and after stratification by individual functional impairments. Survival trees including kidney function and functional impairments were also investigated, and their predictivity assessed by C-index. RESULTS: overall, mortality was found to increase starting from eGFR = 30-44.9 ml/min/1.73 m2 (hazard ratio [HR] = 3.28, 95% confidence interval [CI] = 1.81-5.95) to ACR = 30-300 mg/g (HR = 1.96, 95%CI = 1.23-3.10). However, in survival trees, an increased risk of mortality was observed among patients with impaired handgrip and eGFR = 45-59.9 ml/min/1.73 m2, as well as patients with ACR < 30 mg/g and impaired handgrip and SPPB. Survival tree leaf node membership had greater predictive accuracy (C-index = 0.81, 95%CI = 0.78-0.84 for the eGFR survival tree and C-index = 0.77, 95%CI = 0.71-0.81 for the ACR survival tree) in comparison with that of individual measures of kidney function. CONCLUSIONS: physical performance helps to identify a proportion of patients at an increased risk of mortality despite a mild-moderate impairment in kidney function and improves predictive accuracy of individual measures of kidney function.

Published
2022

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