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3. Effects and moderators of exercise on sleep in adults with cancer: Individual patient data and aggregated meta-analyses

Author

Bernard, P., Savard, J., Steindorf, K., Sweegers, M.G., Courneya, K.S., Newton, R.U., Aaronson, N.K., Jacobsen, P.B., May, A.M., Galvao, D.A., Chinapaw, M.J., Stuiver, M.M., Griffith, K.A., Mesters, I., Knoop, H., Goedendorp, M.M., Bohus, M., Thorsen, L., Schmidt, M.E., Ulrich, C.M., Sonke, G.S., van Harten, W., Winters-Stone, K.M., Velthuis, M.J., Taaffe, D.R., van Mechelen, W., Kersten, M.J., Nollet, F., Wenzel, J., Wiskemann, J., Verdonck-de Leeuw, I.M., Brug, J., and Buffart, L.M.

Published
2019
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19. Dissecting the Shared Genetic Architecture of Suicide Attempt, Psychiatric Disorders, and Known Risk Factors

Author

Mullins, N, Kang, J, Campos, A, Coleman, JR, Edwards, AC, Galfalvy, H, Levey, DF, Lori, A, Shabalin, A, Starnawska, A, Su, M-H, Watson, HJ, Adams, M, Awasthi, S, Ganda, M, Hafferty, JD, Hishimoto, A, Kim, M, Okazaki, S, Otsuka, I, Ripke, S, Ware, EB, Bergen, AW, Berrettini, WH, Bohus, M, Brandt, H, Chang, X, Chen, WJ, Chen, H-C, Crawford, S, Crow, S, DiBlasi, E, Duriez, P, Fernandez-Aranda, F, Fichter, MM, Gallinger, S, Glatt, SJ, Gorwood, P, Guo, Y, Hakonarson, H, Halmi, KA, Hwu, H-G, Jain, S, Jamain, S, Jimenez-Murcia, S, Johnson, C, Kaplan, AS, Kaye, WH, Keel, PK, Kennedy, JL, Klump, KL, Li, D, Liao, S-C, Lieb, K, Lilenfeld, L, Liu, C-M, Magistretti, PJ, Marshall, CR, Mitchell, JE, Monson, ET, Myers, RM, Pinto, D, Powers, A, Ramoz, N, Roepke, S, Rozanov, V, Scherer, SW, Schmahl, C, Sokolowski, M, Strober, M, Thornton, LM, Treasure, J, Tsuang, MT, Witt, SH, Woodside, DB, Yilmaz, Z, Zillich, L, Adolfsson, R, Agartz, I, Air, TM, Alda, M, Alfredsson, L, Andreassen, OA, Anjorin, A, Appadurai, V, Artigas, MS, Van der Auwera, S, Azevedo, MH, Bass, N, Bau, CHD, Baune, BT, Bellivier, F, Berger, K, Biernacka, JM, Bigdeli, TB, Binder, EB, Boehnke, M, Boks, MP, Bosch, R, Braff, DL, Bryant, R, Budde, M, Byrne, EM, Cahn, W, Casas, M, Castelao, E, Cervilla, JA, Chaumette, B, Cichon, S, Corvin, A, Craddock, N, Craig, D, Degenhardt, F, Djurovic, S, Edenberg, HJ, Fanous, AH, Foo, JC, Forstner, AJ, Frye, M, Fullerton, JM, Gatt, JM, Gejman, P, Giegling, I, Grabe, HJ, Green, MJ, Grevet, EH, Grigoroiu-Serbanescu, M, Gutierrez, B, Guzman-Parra, J, Hamilton, SP, Hamshere, ML, Hartmann, A, Hauser, J, Heilmann-Heimbach, S, Hoffmann, P, Ising, M, Jones, I, Jones, LA, Jonsson, L, Kahn, RS, Kelsoe, JR, Kendler, KS, Kloiber, S, Koenen, KC, Kogevinas, M, Konte, B, Krebs, M-O, Lander, M, Lawrence, J, Leboyer, M, Lee, PH, Levinson, DF, Liao, C, Lissowska, J, Lucae, S, Mayoral, F, McElroy, SL, McGrath, P, McGuffin, P, McQuillin, A, Medland, SE, Mehta, D, Melle, I, Milaneschi, Y, Mitchell, PB, Molina, E, Morken, G, Mortensen, PB, Mueller-Myhsok, B, Nievergelt, C, Nimgaonkar, V, Noethen, MM, O'Donovan, MC, Ophoff, RA, Owen, MJ, Pato, C, Pato, MT, Penninx, BWJH, Pimm, J, Pistis, G, Potash, JB, Power, RA, Preisig, M, Quested, D, Ramos-Quiroga, JA, Reif, A, Ribases, M, Richarte, V, Rietschel, M, Rivera, M, Roberts, A, Roberts, G, Rouleau, GA, Rovaris, DL, Rujescu, D, Sanchez-Mora, C, Sanders, AR, Schofield, PR, Schulze, TG, Scott, LJ, Serretti, A, Shi, J, Shyn, S, Sirignano, L, Sklar, P, Smeland, OB, Smoller, JW, Sonuga-Barke, EJS, Spalletta, G, Strauss, JS, Swiatkowska, B, Trzaskowski, M, Turecki, G, Vilar-Ribo, L, Vincent, JB, Voelzke, H, Walters, JTR, Weickert, CS, Weickert, TW, Weissman, MM, Williams, LM, Wray, NR, Zai, CC, Ashley-Koch, AE, Beckham, JC, Hauser, ER, Hauser, MA, Kimbrel, NA, Lindquist, JH, McMahon, B, Oslin, DW, Qin, X, Agerbo, E, Borglum, AD, Breen, G, Erlangsen, A, Esko, T, Gelernter, J, Hougaard, DM, Kessler, RC, Kranzler, HR, Li, QS, Martin, NG, McIntosh, AM, Mors, O, Nordentoft, M, Olsen, CM, Porteous, D, Ursano, RJ, Wasserman, D, Werge, T, Whiteman, DC, Bulik, CM, Coon, H, Demontis, D, Docherty, AR, Kuo, P-H, Lewis, CM, Mann, JJ, Renteria, ME, Smith, DJ, Stahl, EA, Stein, MB, Streit, F, Willour, V, Ruderfer, DM, Mullins, N, Kang, J, Campos, A, Coleman, JR, Edwards, AC, Galfalvy, H, Levey, DF, Lori, A, Shabalin, A, Starnawska, A, Su, M-H, Watson, HJ, Adams, M, Awasthi, S, Ganda, M, Hafferty, JD, Hishimoto, A, Kim, M, Okazaki, S, Otsuka, I, Ripke, S, Ware, EB, Bergen, AW, Berrettini, WH, Bohus, M, Brandt, H, Chang, X, Chen, WJ, Chen, H-C, Crawford, S, Crow, S, DiBlasi, E, Duriez, P, Fernandez-Aranda, F, Fichter, MM, Gallinger, S, Glatt, SJ, Gorwood, P, Guo, Y, Hakonarson, H, Halmi, KA, Hwu, H-G, Jain, S, Jamain, S, Jimenez-Murcia, S, Johnson, C, Kaplan, AS, Kaye, WH, Keel, PK, Kennedy, JL, Klump, KL, Li, D, Liao, S-C, Lieb, K, Lilenfeld, L, Liu, C-M, Magistretti, PJ, Marshall, CR, Mitchell, JE, Monson, ET, Myers, RM, Pinto, D, Powers, A, Ramoz, N, Roepke, S, Rozanov, V, Scherer, SW, Schmahl, C, Sokolowski, M, Strober, M, Thornton, LM, Treasure, J, Tsuang, MT, Witt, SH, Woodside, DB, Yilmaz, Z, Zillich, L, Adolfsson, R, Agartz, I, Air, TM, Alda, M, Alfredsson, L, Andreassen, OA, Anjorin, A, Appadurai, V, Artigas, MS, Van der Auwera, S, Azevedo, MH, Bass, N, Bau, CHD, Baune, BT, Bellivier, F, Berger, K, Biernacka, JM, Bigdeli, TB, Binder, EB, Boehnke, M, Boks, MP, Bosch, R, Braff, DL, Bryant, R, Budde, M, Byrne, EM, Cahn, W, Casas, M, Castelao, E, Cervilla, JA, Chaumette, B, Cichon, S, Corvin, A, Craddock, N, Craig, D, Degenhardt, F, Djurovic, S, Edenberg, HJ, Fanous, AH, Foo, JC, Forstner, AJ, Frye, M, Fullerton, JM, Gatt, JM, Gejman, P, Giegling, I, Grabe, HJ, Green, MJ, Grevet, EH, Grigoroiu-Serbanescu, M, Gutierrez, B, Guzman-Parra, J, Hamilton, SP, Hamshere, ML, Hartmann, A, Hauser, J, Heilmann-Heimbach, S, Hoffmann, P, Ising, M, Jones, I, Jones, LA, Jonsson, L, Kahn, RS, Kelsoe, JR, Kendler, KS, Kloiber, S, Koenen, KC, Kogevinas, M, Konte, B, Krebs, M-O, Lander, M, Lawrence, J, Leboyer, M, Lee, PH, Levinson, DF, Liao, C, Lissowska, J, Lucae, S, Mayoral, F, McElroy, SL, McGrath, P, McGuffin, P, McQuillin, A, Medland, SE, Mehta, D, Melle, I, Milaneschi, Y, Mitchell, PB, Molina, E, Morken, G, Mortensen, PB, Mueller-Myhsok, B, Nievergelt, C, Nimgaonkar, V, Noethen, MM, O'Donovan, MC, Ophoff, RA, Owen, MJ, Pato, C, Pato, MT, Penninx, BWJH, Pimm, J, Pistis, G, Potash, JB, Power, RA, Preisig, M, Quested, D, Ramos-Quiroga, JA, Reif, A, Ribases, M, Richarte, V, Rietschel, M, Rivera, M, Roberts, A, Roberts, G, Rouleau, GA, Rovaris, DL, Rujescu, D, Sanchez-Mora, C, Sanders, AR, Schofield, PR, Schulze, TG, Scott, LJ, Serretti, A, Shi, J, Shyn, S, Sirignano, L, Sklar, P, Smeland, OB, Smoller, JW, Sonuga-Barke, EJS, Spalletta, G, Strauss, JS, Swiatkowska, B, Trzaskowski, M, Turecki, G, Vilar-Ribo, L, Vincent, JB, Voelzke, H, Walters, JTR, Weickert, CS, Weickert, TW, Weissman, MM, Williams, LM, Wray, NR, Zai, CC, Ashley-Koch, AE, Beckham, JC, Hauser, ER, Hauser, MA, Kimbrel, NA, Lindquist, JH, McMahon, B, Oslin, DW, Qin, X, Agerbo, E, Borglum, AD, Breen, G, Erlangsen, A, Esko, T, Gelernter, J, Hougaard, DM, Kessler, RC, Kranzler, HR, Li, QS, Martin, NG, McIntosh, AM, Mors, O, Nordentoft, M, Olsen, CM, Porteous, D, Ursano, RJ, Wasserman, D, Werge, T, Whiteman, DC, Bulik, CM, Coon, H, Demontis, D, Docherty, AR, Kuo, P-H, Lewis, CM, Mann, JJ, Renteria, ME, Smith, DJ, Stahl, EA, Stein, MB, Streit, F, Willour, V, and Ruderfer, DM

Abstract

BACKGROUND: Suicide is a leading cause of death worldwide, and nonfatal suicide attempts, which occur far more frequently, are a major source of disability and social and economic burden. Both have substantial genetic etiology, which is partially shared and partially distinct from that of related psychiatric disorders. METHODS: We conducted a genome-wide association study (GWAS) of 29,782 suicide attempt (SA) cases and 519,961 controls in the International Suicide Genetics Consortium (ISGC). The GWAS of SA was conditioned on psychiatric disorders using GWAS summary statistics via multitrait-based conditional and joint analysis, to remove genetic effects on SA mediated by psychiatric disorders. We investigated the shared and divergent genetic architectures of SA, psychiatric disorders, and other known risk factors. RESULTS: Two loci reached genome-wide significance for SA: the major histocompatibility complex and an intergenic locus on chromosome 7, the latter of which remained associated with SA after conditioning on psychiatric disorders and replicated in an independent cohort from the Million Veteran Program. This locus has been implicated in risk-taking behavior, smoking, and insomnia. SA showed strong genetic correlation with psychiatric disorders, particularly major depression, and also with smoking, pain, risk-taking behavior, sleep disturbances, lower educational attainment, reproductive traits, lower socioeconomic status, and poorer general health. After conditioning on psychiatric disorders, the genetic correlations between SA and psychiatric disorders decreased, whereas those with nonpsychiatric traits remained largely unchanged. CONCLUSIONS: Our results identify a risk locus that contributes more strongly to SA than other phenotypes and suggest a shared underlying biology between SA and known risk factors that is not mediated by psychiatric disorders.

Published
2021

27. Moderators of Exercise Effects on Cancer-related Fatigue: A Meta-analysis of Individual Patient Data.

Author

Vulpen, J.K. van, Sweegers, M.G., Peeters, P.H., Courneya, K.S., Newton, R.U., Aaronson, N.K., Jacobsen, P.B., Galvao, D.A., Chinapaw, M.J., Steindorf, K., Irwin, M.L., Stuiver, M.M., Hayes, S., Griffith, K.A., Mesters, I., Knoop, H., Goedendorp, M.M., Mutrie, N., Daley, A.J., McConnachie, A., Bohus, M., Thorsen, L., Schulz, K.H., Short, C.E., James, E.L., Plotnikoff, R.C., Schmidt, M.E., Ulrich, C.M., Beurden, M. van, Oldenburg, H.S., Sonke, G.S., Harten, W.H. van, Schmitz, K.H., Winters-Stone, K.M., Velthuis, M.J., Taaffe, D.R., Mechelen, W. van, Kersten, M.J., Nollet, F., Wenzel, J., Wiskemann, J., Verdonck-de Leeuw, I.M., Brug, J., May, A.M., Buffart, L.M., Vulpen, J.K. van, Sweegers, M.G., Peeters, P.H., Courneya, K.S., Newton, R.U., Aaronson, N.K., Jacobsen, P.B., Galvao, D.A., Chinapaw, M.J., Steindorf, K., Irwin, M.L., Stuiver, M.M., Hayes, S., Griffith, K.A., Mesters, I., Knoop, H., Goedendorp, M.M., Mutrie, N., Daley, A.J., McConnachie, A., Bohus, M., Thorsen, L., Schulz, K.H., Short, C.E., James, E.L., Plotnikoff, R.C., Schmidt, M.E., Ulrich, C.M., Beurden, M. van, Oldenburg, H.S., Sonke, G.S., Harten, W.H. van, Schmitz, K.H., Winters-Stone, K.M., Velthuis, M.J., Taaffe, D.R., Mechelen, W. van, Kersten, M.J., Nollet, F., Wenzel, J., Wiskemann, J., Verdonck-de Leeuw, I.M., Brug, J., May, A.M., and Buffart, L.M.

Abstract

01 februari 2020, Contains fulltext : 220990.pdf (Publisher’s version ) (Closed access), PURPOSE: Fatigue is a common and potentially disabling symptom in patients with cancer. It can often be effectively reduced by exercise. Yet, effects of exercise interventions might differ across subgroups. We conducted a meta-analysis using individual patient data of randomized controlled trials (RCT) to investigate moderators of exercise intervention effects on cancer-related fatigue. METHODS: We used individual patient data from 31 exercise RCT worldwide, representing 4366 patients, of whom 3846 had complete fatigue data. We performed a one-step individual patient data meta-analysis, using linear mixed-effect models to analyze the effects of exercise interventions on fatigue (z score) and to identify demographic, clinical, intervention- and exercise-related moderators. Models were adjusted for baseline fatigue and included a random intercept on study level to account for clustering of patients within studies. We identified potential moderators by testing their interaction with group allocation, using a likelihood ratio test. RESULTS: Exercise interventions had statistically significant beneficial effects on fatigue (beta = -0.17; 95% confidence interval [CI], -0.22 to -0.12). There was no evidence of moderation by demographic or clinical characteristics. Supervised exercise interventions had significantly larger effects on fatigue than unsupervised exercise interventions (betadifference = -0.18; 95% CI -0.28 to -0.08). Supervised interventions with a duration

Published
2020

28. Psychometric Properties and Factor Structure of the German Version of the Clinician-Administered PTSD Scale for DSM-5

Author

Müller-Engelmann, M., Schnyder, U., Dittmann, C., Priebe, K., Bohus, M., Thome, J., Fydrich, T., Pfaltz, Monique C., Steil, R., Müller-Engelmann, M., Schnyder, U., Dittmann, C., Priebe, K., Bohus, M., Thome, J., Fydrich, T., Pfaltz, Monique C., and Steil, R.

Abstract

The Clinician-Administered PTSD Scale (CAPS) is a widely used diagnostic interview for posttraumatic stress disorder (PTSD). Following fundamental modifications in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), the CAPS had to be revised. This study examined the psychometric properties (internal consistency, interrater reliability, convergent and discriminant validity, and structural validity) of the German version of the CAPS-5 in a trauma-exposed sample (n = 223 with PTSD; n =51 without PTSD). The results demonstrated high internal consistency (αs =.65-.93) and high interrater reliability (ICCs =.81-.89). With regard to convergent and discriminant validity, we found high correlations between the CAPS severity score and both the Posttraumatic Diagnostic Scale sum score (r =.87) and the Beck Depression Inventory total score (r =.72). Regarding the underlying factor structure, the hybrid model demonstrated the best fit, followed by the anhedonia model. However, we encountered some nonpositive estimates for the correlations of the latent variables (factors) for both models. The model with the best fit without methodological problems was the externalizing behaviors model, but the results also supported the DSM-5 model. Overall, the results demonstrate that the German version of the CAPS-5 is a psychometrically sound measure.

Published
2020
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40. Effects and moderators of exercise on sleep in adults with cancer : Individual patient data and aggregated meta-analyses

Author

Bernard, P, Savard, J, Steindorf, K, Sweegers, M G, Courneya, K S, Newton, R U, Aaronson, N K, Jacobsen, P B, May, A M, Galvao, D A, Chinapaw, M J, Stuiver, M M, Griffith, K A, Mesters, I, Knoop, H, Goedendorp, M M, Bohus, M, Thorsen, L, Schmidt, M E, Ulrich, C M, Sonke, G S, van Harten, W, Winters-Stone, K M, Velthuis, M J, Taaffe, D R, van Mechelen, W, Kersten, M J, Nollet, F, Wenzel, J, Wiskemann, J, Verdonck-de Leeuw, I M, Brug, J, Buffart, L M, Bernard, P, Savard, J, Steindorf, K, Sweegers, M G, Courneya, K S, Newton, R U, Aaronson, N K, Jacobsen, P B, May, A M, Galvao, D A, Chinapaw, M J, Stuiver, M M, Griffith, K A, Mesters, I, Knoop, H, Goedendorp, M M, Bohus, M, Thorsen, L, Schmidt, M E, Ulrich, C M, Sonke, G S, van Harten, W, Winters-Stone, K M, Velthuis, M J, Taaffe, D R, van Mechelen, W, Kersten, M J, Nollet, F, Wenzel, J, Wiskemann, J, Verdonck-de Leeuw, I M, Brug, J, and Buffart, L M

Published
2019

41. Effects and moderators of exercise on sleep in adults with cancer: Individual patient data and aggregated meta-analyses

Author

Bernard, P. A., Savard, J., Steindorf, K., Sweegers, M. G., Courneya, K. S., Newton, R. U., Aaronson, N. K., Jacobsen, P. B., May, A. M., Galvao, D. A., Chinapaw, M. J., Stuiver, M. M., Griffith, K. A., Mesters, I, Knoop, H., Goedendorp, M. M., Bohus, M., Thorsen, L., Schmidt, M. E., Ulrich, C. M., Sonke, G. S., van Harten, W., Winters-Stone, K. M., Velthuis, M. J., Taaffe, D. R., van Mechelen, W., Kersten, M. J., Nollet, F., Wenzel, J., Wiskemann, J., Verdonck-de Leeuw, I. M., Brug, J., Buffart, L. M., Bernard, P. A., Savard, J., Steindorf, K., Sweegers, M. G., Courneya, K. S., Newton, R. U., Aaronson, N. K., Jacobsen, P. B., May, A. M., Galvao, D. A., Chinapaw, M. J., Stuiver, M. M., Griffith, K. A., Mesters, I, Knoop, H., Goedendorp, M. M., Bohus, M., Thorsen, L., Schmidt, M. E., Ulrich, C. M., Sonke, G. S., van Harten, W., Winters-Stone, K. M., Velthuis, M. J., Taaffe, D. R., van Mechelen, W., Kersten, M. J., Nollet, F., Wenzel, J., Wiskemann, J., Verdonck-de Leeuw, I. M., Brug, J., and Buffart, L. M.

Abstract

Objectives: To evaluate the effects of exercise interventions on sleep disturbances and sleep quality in patients with mixed cancer diagnoses, and identify demographic, clinical, and intervention-related moderators of these effects. Methods: Individual patient data (IPD) and aggregated meta-analyses of randomized controlled trials (RCTs). Using data from the Predicting OptimaL cAncer RehabIlitation and Supportive care project, IPD of 2173 adults (mean age = 54.8) with cancer from 17 RCTs were analyzed. A complementary systematic search was conducted (until November 2018) to study the overall effects and test the representativeness of analyzed IPD. Effect sizes of exercise effects on self-reported sleep outcomes were calculated for all included RCTs. Linear mixed-effect models were used to evaluate the effects of exercise on post-intervention outcome values, adjusting for baseline values. Moderator effects were studied by testing interactions for demographic, clinical and intervention-related characteristics. Results: For all 27 eligible RCTs from the updated search, exercise interventions significantly decreased sleep disturbances in adults with cancer (g = −0.09, 95% CI [−0.16; −0.02]). No significant effect was obtained for sleep quality. RCTs included in IPD analyses constituted a representative sample of the published literature. The intervention effects on sleep disturbances were not significantly moderated by any demographic, clinical, or intervention-related factor, nor by sleep disturbances. Conclusions: This meta-analysis provides some evidence that, compared to control conditions, exercise interventions may improve sleep disturbances, but not sleep quality, in cancer patients, although this effect is of a small magnitude. Among the investigated variables, none was found to significantly moderate the effect of exercise interventions on sleep disturbances.

Published
2019
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42. Effects and moderators of exercise on sleep in adults with cancer: Individual patient data and aggregated meta-analyses

Author

JC onderzoeksprogramma Kanker, Cancer, Epidemiology & Health Economics, Epi Kanker Team 1, Bernard, P, Savard, J, Steindorf, K, Sweegers, M G, Courneya, K S, Newton, R U, Aaronson, N K, Jacobsen, P B, May, A M, Galvao, D A, Chinapaw, M J, Stuiver, M M, Griffith, K A, Mesters, I, Knoop, H, Goedendorp, M M, Bohus, M, Thorsen, L, Schmidt, M E, Ulrich, C M, Sonke, G S, van Harten, W, Winters-Stone, K M, Velthuis, M J, Taaffe, D R, van Mechelen, W, Kersten, M J, Nollet, F, Wenzel, J, Wiskemann, J, Verdonck-de Leeuw, I M, Brug, J, Buffart, L M, JC onderzoeksprogramma Kanker, Cancer, Epidemiology & Health Economics, Epi Kanker Team 1, Bernard, P, Savard, J, Steindorf, K, Sweegers, M G, Courneya, K S, Newton, R U, Aaronson, N K, Jacobsen, P B, May, A M, Galvao, D A, Chinapaw, M J, Stuiver, M M, Griffith, K A, Mesters, I, Knoop, H, Goedendorp, M M, Bohus, M, Thorsen, L, Schmidt, M E, Ulrich, C M, Sonke, G S, van Harten, W, Winters-Stone, K M, Velthuis, M J, Taaffe, D R, van Mechelen, W, Kersten, M J, Nollet, F, Wenzel, J, Wiskemann, J, Verdonck-de Leeuw, I M, Brug, J, and Buffart, L M

Published
2019

46. Affective instability across the lifespan in borderline personality disorder - a cross-sectional e-diary study

Author

Santangelo, P. S., Koenig, Julian, Kockler, T. D., Eid, M., Holtmann, J., Koudela-Hamila, S., Parzer, P., Resch, F., Bohus, M., Kaess, Michael, and Ebner-Priemer, U. W.

Subjects
mental disorders, 610 Medicine & health, behavioral disciplines and activities
Abstract

Objective Longitudinal and cross‐sectional studies suggest that affective instability is inversely related to greater age in borderline personality disorder (BPD). However, existing studies relied on retrospective self‐reports of perceived instability. We examined affective instability in everyday life in patients with BPD and healthy controls (HCs) by age in a cross‐sectional e‐diary study. Methods Two hundred and sixty female participants between 14 and 53 years of age (130 patients with BPD and 130 HCs) carried an e‐diary over 4 days. The e‐diaries emitted a prompting signal in approximately hourly intervals asking participants to rate their current affective state, that is valence (ranging from pleasant to unpleasant) and tense arousal (ranging from calm/relaxed to restless/under tension). Results Multilevel analyses revealed a significant interaction of age and group predicting affective instability (valence: F(1,255.6) = 7.59; P < 0.01; tense arousal: F(1,252) = 6.08; P < 0.01), suggesting that affective instability significantly declines with greater age in patients with BPD. Controlling for the number of comorbid disorders and BPD severity did not change the results, illustrating an inverse relationship between age and affective instability in BPD (significant interaction of age*group for valence: F(1,238.7) = 5.74; P < 0.02 and tense arousal: F(1,235.2) = 5.28; P < 0.02). Conclusion Affective instability during daily life declines with greater age in BPD. This decline is irrespective of comorbidity and BPD severity.

Published
2018
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48. Targeting Exercise Interventions to Patients With Cancer in Need: An Individual Patient Data Meta-Analysis

Author

Buffart, L.M., Sweegers, M.G., May, A.M., Chinapaw, M.J., Vulpen, J.K. van, Newton, R.U., Galvao, D.A., Aaronson, N.K., Stuiver, M.M., Jacobsen, P.B., Verdonck-de Leeuw, I.M., Steindorf, K., Irwin, M.L., Hayes, S., Griffith, K.A., Lucia, A., Herrero-Roman, F., Mesters, I., Weert, E. Van, Knoop, H., Goedendorp, M.M., Mutrie, N., Daley, A.J., McConnachie, A., Bohus, M., Thorsen, L., Schulz, K.H., Short, C.E., James, E.L., Plotnikoff, R.C., Arbane, G., Schmidt, M.E., Potthoff, K., Beurden, M. van, Oldenburg, H.S., Sonke, G.S., Harten, W.H. van, Garrod, R., Schmitz, K.H., Winters-Stone, K.M., Velthuis, M.J., Taaffe, D.R., Mechelen, W. van, Kersten, M., Nollet, F., Wenzel, J., Wiskemann, J., Brug, J., Courneya, K.S., Buffart, L.M., Sweegers, M.G., May, A.M., Chinapaw, M.J., Vulpen, J.K. van, Newton, R.U., Galvao, D.A., Aaronson, N.K., Stuiver, M.M., Jacobsen, P.B., Verdonck-de Leeuw, I.M., Steindorf, K., Irwin, M.L., Hayes, S., Griffith, K.A., Lucia, A., Herrero-Roman, F., Mesters, I., Weert, E. Van, Knoop, H., Goedendorp, M.M., Mutrie, N., Daley, A.J., McConnachie, A., Bohus, M., Thorsen, L., Schulz, K.H., Short, C.E., James, E.L., Plotnikoff, R.C., Arbane, G., Schmidt, M.E., Potthoff, K., Beurden, M. van, Oldenburg, H.S., Sonke, G.S., Harten, W.H. van, Garrod, R., Schmitz, K.H., Winters-Stone, K.M., Velthuis, M.J., Taaffe, D.R., Mechelen, W. van, Kersten, M., Nollet, F., Wenzel, J., Wiskemann, J., Brug, J., and Courneya, K.S.

Abstract

Item does not contain fulltext, Background: Exercise effects in cancer patients often appear modest, possibly because interventions rarely target patients most in need. This study investigated the moderator effects of baseline values on the exercise outcomes of fatigue, aerobic fitness, muscle strength, quality of life (QoL), and self-reported physical function (PF) in cancer patients during and post-treatment. Methods: Individual patient data from 34 randomized exercise trials (n = 4519) were pooled. Linear mixed-effect models were used to study moderator effects of baseline values on exercise intervention outcomes and to determine whether these moderator effects differed by intervention timing (during vs post-treatment). All statistical tests were two-sided. Results: Moderator effects of baseline fatigue and PF were consistent across intervention timing, with greater effects in patients with worse fatigue (Pinteraction = .05) and worse PF (Pinteraction = .003). Moderator effects of baseline aerobic fitness, muscle strength, and QoL differed by intervention timing. During treatment, effects on aerobic fitness were greater for patients with better baseline aerobic fitness (Pinteraction = .002). Post-treatment, effects on upper (Pinteraction < .001) and lower (Pinteraction = .01) body muscle strength and QoL (Pinteraction < .001) were greater in patients with worse baseline values. Conclusion: Although exercise should be encouraged for most cancer patients during and post-treatments, targeting specific subgroups may be especially beneficial and cost effective. For fatigue and PF, interventions during and post-treatment should target patients with high fatigue and low PF. During treatment, patients experience benefit for muscle strength and QoL regardless of baseline values; however, only patients with low baseline values benefit post-treatment. For aerobic fitness, patients with low baseline values do not appear to benefit from exercise during treatment.

Published
2018

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