Search

Your search keyword '"O'Hare, Joseph P."' showing total 25 results
Start Over Author "O'Hare, Joseph P."
25 results on '"O'Hare, Joseph P."'

2. Using the socio-ecological model to appraise perspectives on health workforce retention and intention to leave in Malawi and Tanzania: a qualitative longitudinal study.

Author

Mdegela, Mselenge, Madaj, Barbara, Vermand, Ndemetria, Mvula, Chimwemwe Joe, and O'Hare, Joseph Paul

Abstract

Introduction: The chronic health workforce shortage poses a significant setback to achieving universal health coverage. Health authorities continually develop and implement human resources for health policies and interventions to alleviate the crisis, including retention policies. However, the success of such policies and interventions is tangential to the alignment with health workers' expectations. The aim of this study was to explore perspectives on health workforce retention and intention to leave among health workers and policy-makers from rural and remote areas of Malawi and Tanzania. Methods: Semi-structured interviews were conducted with 120 participants - 111 rural and remote mid-level health workers, and nine policy-makers in Malawi and Tanzania - for a period of 3 years, 2014-2017. The semi-structured interviews were conducted face to face, and follow-up interviews were conducted through emails or social media. By using the socio-ecological model as a framework for analysis, the emerging themes were mapped out and linked. Results: Health workers related their perspectives on retention and intention to leave to the individual (intrapersonal), family (interpersonal/microsystem), and community (institutional/mesosystem) factors, whereas policy-makers focused their views mainly on the individual (intrapersonal) factors and retention policies at the national level (macrosystem). Conclusion: Policy-makers and health workers in rural and remote settings in Malawi and Tanzania recognise the factors influencing health workforce retention, and intention to leave at the individual level. However, while policy-makers focus mainly on national-level retention policies, health workers focus on retention aspects related to the family and the surrounding community - a clear misalignment. Therefore, health authorities need to align health policies to health workers' expectations to bridge this gap, improve access to the health workforce in rural and remote populations, and improve health outcomes. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

3. Secretion of neuropeptide Y in human adipose tissue and its role in maintenance of adipose tissue mass

Author

Kos, Katarina, Harte, Alison L., James, Sean, Snead, David R., O'Hare, Joseph P., McTernan, Philip G., and Kumar, Sudhesh

Subjects
Neuropeptide Y -- Influence, Adipose tissues -- Research, Insulin -- Properties, Rosiglitazone maleate -- Properties, Leptin -- Properties, Biological sciences
Abstract

NPY is an important central orexigenic hormone, but little is known about its peripheral actions in human adipose tissue (AT) or its potential paracrine effects. Our objective was to examine NPY's role in AT, specifically addressing NPY protein expression, the effect of NPY on adipokine secretion, and the influence of insulin and rosiglitazone (RSG) on adipocytederived NPY in vitro. Ex vivo human AT was obtained from women undergoing elective surgery [age: 42.7 [+ or -] 1.5 yr (mean [+ or -] SE), BMI: 26.2 [+ or -] 0.7 kg/[m.sup.2]; n = 38]. Western blot analysis was used to determine NPY protein expression in AT depots. Abdominal subcutaneous (AbSc) adipocytes were isolated and treated with recombinant (rh) NPY, insulin, and RSG. NPY and adipokine levels were measured by ELISA. Our results were that NPY was localized in human AT and adipocytes and confirmed by immunohistochemistry. Depot-specific NPY expression was noted as highest in AbSc AT (1.87 [+ or -] 0.23 ODU) compared with omental (Om; 1.03 [+ or -] 0.15 ODU, P = 0.029) or thigh AT (Th; 1.0 [+ or -] 0.29 ODU, P = 0.035). Insulin increased NPY secretion (control: 0.22 [+ or -] 0.024 ng/ml; 1 nM insulin: 0.26 [+ or -] 0.05 ng/ml; 100 nM insulin: 0.29 [+ or -] 0.04 ng/ml; 1,000 nM insulin: 0.3 [+ or -] 0.04 ng/ml; P < 0.05, n = 13), but cotreatment of RSG (10 nM) with insulin (100 nM) had no effect on NPY secretion. Furthermore, adipocyte treatment with rh-NPY downregulated leptin secretion (control: 6.99 [+ or -] 0.89 ng/ml; 1 nmol/l rh-NPY: 4.4 [+ or -] 0.64 ng/ml; 10 nmol/l rh-NPY: 4.3 [+ or -] 0.61 ng/ml, 100 nmol/l rh-NPY: 4.2 [+ or -] 0.67 ng/ml; P < 0.05, n = 10) but had no effect on adiponectin or TNF-[alpha] secretion. We conclude that NPY is expressed and secreted by human adipocytes. NPY secretion is stimulated by insulin, but this increment was limited by cotreatment with RSG. NPY's antilipolytic action may promote an increase in adipocyte size in hyperinsulinemic conditions. Adipose-derived NPY mediates reduction of leptin secretion and may have implications for central feedback of adiposity signals. adipokines; insulin; rosiglitazone; leptin

Published
2007

4. Global Prevalence and Major Risk Factors of Diabetic Retinopathy

Author

Yau, Joanne W.Y., Rogers, Sophie L., Kawasaki, Ryo, Lamoureux, Ecosse L., Kowalski, Jonathan W., Bek, Toke, Chen, Shih-Jen, Dekker, Jacqueline M., Fletcher, Astrid, Grauslund, Jakob, Haffner, Steven, Hamman, Richard F., Ikram, M. Kamran, Kayama, Takamasa, Klein, Barbara E.K., Klein, Ronald, Krishnaiah, Sannapaneni, Mayurasakorn, Korapat, O’Hare, Joseph P., Orchard, Trevor J., Porta, Massimo, Rema, Mohan, Roy, Monique S., Sharma, Tarun, Shaw, Jonathan, Taylor, Hugh, Tielsch, James M., Varma, Rohit, Wang, Jie Jin, Wang, Ningli, West, Sheila, Xu, Liang, Yasuda, Miho, Zhang, Xinzhi, Mitchell, Paul, and Wong, Tien Y.

Published
2012
Full Text
View/download PDF

7. Is a Catholic university still Catholic when its priests, brothers and sisters are gone?

Author

O'Loughlin, Michael, Vincent, Sarah, Girardot, Doug, and O'Hare, Joseph A.

Abstract

The article discusses the baptized Catholics who have not received the Sacrament of Holy Orders in becoming the saint of the catholic churches in America. Topics include announcements of Jesuit institutions on led by the laypeople for priests rather than siblings of older priest; transition in the lay leadership of people to become priest and advocacy of Dominican Sisters of Sinsinawa for immigration, health care and education as inspiration for helping Edgewood live out its spiritual ethos.

Published
2022

9. Telomere length attrition, a marker of biological senescence, is inversely correlated with triglycerides and cholesterol in South Asian males with type 2 diabetes mellitus

Author

Harte, Alison L., da Silva, Nancy F., Miller, Michelle A., Cappuccio, Francesco P., Kelly, M. Ann, O'Hare, Joseph P., Barnett, Anthony H., Al-Daghri, Nasser M, Al-Attas, Omar, Alokail, Majed, Sabico, Shaun, Tripathi, Gyanendra, Bellary, Srikanth, Kumar, Sudhesh, McTernan, Philip G., Harte, Alison L., da Silva, Nancy F., Miller, Michelle A., Cappuccio, Francesco P., Kelly, M. Ann, O'Hare, Joseph P., Barnett, Anthony H., Al-Daghri, Nasser M, Al-Attas, Omar, Alokail, Majed, Sabico, Shaun, Tripathi, Gyanendra, Bellary, Srikanth, Kumar, Sudhesh, and McTernan, Philip G.

Abstract

South Asians have a higher risk of type 2 diabetes mellitus (T2DM) and cardiovascular disease (CVD) than white Caucasians, for a given BMI. Premature biological ageing, assessed by reduction in telomere length (TL), may be mediated by factors resulting from altered metabolic profiles associated with obesity. We hypothesise that ethnicity and metabolic status represent detrimental factors contributing to premature biological ageing. Therefore we assessed TL in two South Asian, age and BMI-matched cohorts [T2DM (n = 142) versus non-T2DM (n = 76)] to determine the effects of BMI, gender, lipid and CVD profile on biological ageing. Genomic DNA was obtained from the UKADS cohort; biochemical and anthropometric data was collected and TL was measured by quantitative real-time PCR. Our findings indicated a gender-specific effect with reduced TL in T2DM men compared with non-T2DM men (P = 0.006). Additionally, in T2DM men, TL was inversely correlated with triglycerides and total cholesterol (r = -0.419, P <0.01; r = -0.443, P <0.01). In summary, TL was reduced amongst South Asian T2DM men and correlated with triglycerides and total cholesterol. This study highlights enhanced biological ageing among South Asian, T2DM men, which appears to be tracked by changes in lipids and BMI, suggesting that raised lipids and BMI may directly contribute to premature ageing.

Published
2012

10. An FTO variant is associated with Type 2 diabetes in South Asian populations after accounting for body mass index and waist circumference

Author

Rees, Simon D., Islam, M., Hydrie, M. Zafar I., Chaudhary, B., Bellary, Srikanth, Hashmi, S., O'Hare, Joseph P., Kumar, Sudhesh, Sanghera, D.K., Chaturvedi, N., Barnett, Anthony H., Shera, A.S., Weedon, M.N., Basit, Abdul, Frayling, T M, Kelly, M. Ann, Jafar, T.H., Rees, Simon D., Islam, M., Hydrie, M. Zafar I., Chaudhary, B., Bellary, Srikanth, Hashmi, S., O'Hare, Joseph P., Kumar, Sudhesh, Sanghera, D.K., Chaturvedi, N., Barnett, Anthony H., Shera, A.S., Weedon, M.N., Basit, Abdul, Frayling, T M, Kelly, M. Ann, and Jafar, T.H.

Abstract

Aims - A common variant, rs9939609, in the FTO (fat mass and obesity) gene is associated with adiposity in Europeans, explaining its relationship with diabetes. However, data are inconsistent in South Asians. Our aim was to investigate the association of the FTO rs9939609 variant with obesity, obesity-related traits and Type 2 diabetes in South Asian individuals, and to use meta-analyses to attempt to clarify to what extent BMI influences the association of FTO variants with diabetes in South Asians. Methods - We analysed rs9939609 in two studies of Pakistani individuals: 1666 adults aged = 40 years from the Karachi population-based Control of Blood Pressure and Risk Attenuation (COBRA) study and 2745 individuals of Punjabi ancestry who were part of a Type 2 diabetes case–control study (UK Asian Diabetes Study/Diabetes Genetics in Pakistan; UKADS/DGP). The main outcomes were BMI, waist circumference and diabetes. Regression analyses were performed to determine associations between FTO alleles and outcomes. Summary estimates were combined in a meta-analysis of 8091 South Asian individuals (3919 patients with Type 2 diabetes and 4172 control subjects), including those from two previous studies. Results - In the 4411 Pakistani individuals from this study, the age-, sex- and diabetes-adjusted association of FTO variant rs9939609 with BMI was 0.45 (95% CI 0.24–0.67) kg/m2 per A-allele (P = 3.0 × 10-5) and with waist circumference was 0.88 (95% CI 0.36–1.41) cm per A-allele (P = 0.001). The A-allele (30% frequency) was also significantly associated with Type 2 diabetes [per A-allele odds ratio (95% CI) 1.18 (1.07–1.30); P = 0.0009]. A meta-analysis of four South Asian studies with 8091 subjects showed that the FTO A-allele predisposes to Type 2 diabetes [1.22 (95% CI 1.14–1.31); P = 1.07 × 10-8] even after adjusting for BMI [1.18 (95% CI 1.10–1.27); P = 1.02 × 10-5] or waist circumference [1.18 (95% CI 1.10–1.27); P = 3.97 × 10-5]. Conclusions - The strong association bet

Published
2011

11. NFκB as a potent regulator of inflammation in human adipose tissue, influenced by depot, adiposity, T2DM status, and TNFα

Author

Harte, Alison L., primary, Tripathi, Gyanendra, additional, Piya, Milan K., additional, Barber, Thomas M., additional, Clapham, John C., additional, Al-Daghri, Nasser, additional, Al-Disi, Dara, additional, Kumsaiyai, Warunee, additional, Saravanan, Ponnusamy, additional, Fowler, Anne E., additional, O'Hare, Joseph P., additional, Kumar, Sudhesh, additional, and McTernan, Philip G., additional

Published
2013
Full Text
View/download PDF

13. Telomere Length Attrition, a Marker of Biological Senescence, Is Inversely Correlated with Triglycerides and Cholesterol in South Asian Males with Type 2 Diabetes Mellitus

Author

Harte, Alison L., primary, da Silva, Nancy F., additional, Miller, Michelle A., additional, Cappuccio, Francesco P., additional, Kelly, Ann, additional, O’Hare, Joseph P., additional, Barnett, Anthony H., additional, Al-Daghri, Nasser M., additional, Al-Attas, Omar, additional, Alokail, Majed, additional, Sabico, Shaun, additional, Tripathi, Gyanendra, additional, Bellary, Srikanth, additional, Kumar, Sudhesh, additional, and McTernan, Philip G., additional

Published
2012
Full Text
View/download PDF

14. Kidney and Cardiovascular Effects of Canagliflozin According to Age and Sex: A Post Hoc Analysis of the CREDENCE Randomized Clinical Trial

Author

Yi, Tae Won, Smyth, Brendan, Di Tanna, Gian Luca, Arnott, Clare, Cardoza, Kathryn, Kang, Amy, Pollock, Carol, Agarwal, Rajiv, Bakris, George, Charytan, David M., de Zeeuw, Dick, Heerspink, Hiddo J.L., Neal, Bruce, Wheeler, David C., Cannon, Christopher P., Zhang, Hong, Zinman, Bernard, Perkovic, Vlado, Levin, Adeera, Mahaffey, Kenneth W., Jardine, Meg, Perkovic, Vlado, Mahaffey, Kenneth W., Agarwal, Rajiv, Bakris, George, Brenner, Barry M., Cannon, Christopher P., Charytan, David M., de Zeeuw, Dick, Greene, Tom, Jardine, Meg J., Heerspink, Hiddo J.L., Levin, Adeera, Meininger, Gary, Neal, Bruce, Pollock, Carol, Wheeler, David C., Zhang, Hong, Zinman, Bernard, Jardine, Meg, Heerspink, Hiddo J.L., Charytan, David M., Li, Nicole, Kolesnyk, Inna, Aizenberg, Diego, Pecoits-Filho, Roberto, Levin, Adeera, Cherney, David, Obrador, Gregorio, Chertow, Glenn, Chang, Tara, Hawley, Carmel, Ji, Linong, Zhang, Hong, Wada, Takashi, Jha, Vivekanand, Lim, Soo Kun, Lim-Abrahan, Mary Anne, Santos, Florence, Chae, Dong-Wan, Hwang, Shang-Jyh, Vazelov, Evgueniy, Rychlík, Ivan, Hadjadj, Samy, Krane, Vera, Rosivall, László, De Nicola, Luca, Dreval, Alexander, Nowicki, Michał, Schiller, Adalbert, Distiller, Larry, Górriz, Jose L., Kolesnyk, Mykola, David, Wheeler, C., Guerrero, Rodolfo Andres Ahuad, Aizenberg, Diego, Albisu, Juan Pablo, Alvarisqueta, Andres, Bartolacci, Ines, Berli, Mario Alberto, Bordonava, Anselmo, Calella, Pedro, Cantero, Maria Cecilia, Cartasegna, Luis Rodolfo, Cercos, Esteban, Coloma, Gabriela Cecilia, Colombo, Hugo, Commendatore, Victor, Cuadrado, Jesus, Cuneo, Carlos Alberto, Cusumano, Ana Maria, Douthat, Walter Guillermo, Dran, Ricardo Dario, Farias, Eduardo, Fernandez, Maria Florencia, Finkelstein, Hernan, Fragale, Guillermo, Fretes, Jose Osvaldo, Garcia, Nestor Horacio, Gastaldi, Anibal, Gelersztein, Elizabeth, Glenny, Jorge Archibaldo, Gonzalez, Joaquin Pablo, Colaso, Patricia del Carmen Gonzalez, Goycoa, Claudia, Greloni, Gustavo Cristian, Guinsburg, Adrian, Hermida, Sonia, Juncos, Luis Isaias, Klyver, Maria Isabel, Kraft, Florencia, Krynski, Fernando, Lanchiotti, Paulina Virginia, Leon de la Fuente, Ricardo Alfonso, Marchetta, Nora, Mele, Pablo, Nicolai, Silvia, Novoa, Pablo Antonio, Orio, Silvia Ines, Otreras, Fabian, Oviedo, Alejandra, Raffaele, Pablo, Resk, Jorge Hector, Rista, Lucas, Papini, Nelson Rodriguez, Sala, Jorgelina, Santos, Juan Carlos, Schiavi, Lilia Beatriz, Sessa, Horacio, Casabella, Tomas Smith, Ulla, Maria Rosa, Valdez, Maria, Vallejos, Augusto, Villarino, Adriana, Visco, Virginia Esther, Wassermann, Alfredo, Zaidman, Cesar Javier, Cheung, Ngai Wah, Droste, Carolyn, Fraser, Ian, Johnson, David, Mah, Peak Mann, Nicholls, Kathy, Packham, David, Proietto, Joseph, Roberts, Anthony, Roger, Simon, Tsang, Venessa, Raduan, Roberto Abrão, Costa, Fernando Augusto Alves da, Amodeo, Celso, Turatti, Luiz Alberto Andreotti, Bregman, Rachel, Sanches, Fernanda Cristina Camelo, Canani, Luis Henrique, Chacra, Antônio Roberto, Borges, João Lindolfo Cunha, Vêncio, Sérgio Alberto Cunha, Franco, Roberto Jorge da Silva, d’Avila, Domingos, Portes, Evandro de Souza, de Souza, Pedro, Deboni, Luciane Mônica, Fraige Filho, Fadlo, Neto, Bruno Geloneze, Gomes, Marcus, Kohara, Suely Keiko, Keitel, Elizete, Saraiva, Jose Francisco Kerr, Lisboa, Hugo Roberto Kurtz, Contieri, Fabiana Loss de Carvalho, Milagres, Rosângela, Junior, Renan Montenegro, de Brito, Claudia Moreira, Hissa, Miguel Nasser, Sabbag, Ângela Regina Nazario, Noronha, Irene, Panarotto, Daniel, Filho, Roberto Pecoits, Pereira, Márcio Antônio, Saporito, Wladmir, Scotton, Antonio Scafuto, Schuch, Tiago, de Almeida, Roberto Simões, Ramos, Cássio Slompo, Felício, João Soares, Thomé, Fernando, Hachmann, Jean Carlo Tibes, Yamada, Sérgio, Hayashida, Cesar Yoiti, Petry, Tarissa Beatrice Zanata, Zanella, Maria Teresa, Andreeva, Viktoria, Angelova, Angelina, Dimitrov, Stefan, Genadieva, Veselka, Genova-Hristova, Gabriela, Hristozov, Kiril, Kamenov, Zdravko, Koundurdjiev, Atanas, Lozanov, Lachezar, Margaritov, Viktor, Nonchev, Boyan, Rangelov, Rangel, Shinkov, Alexander, Temelkova, Margarita, Velichkova, Ekaterina, Yakov, Andrian, Aggarwal, Naresh, Aronson, Ronnie, Bajaj, Harpreet, Cherney, David, Chouinard, Guy, Conway, James, Cournoyer, Serge, DaRoza, Gerald, De Serres, Sacha, Dubé, François, Goldenberg, Ronald, Gupta, Anil, Gupta, Milan, Henein, Sam, Khandwala, Hasnain, Leiter, Lawrence, Levin, Adeera, Madore, François, McMahon, Alan, Muirhead, Norman, Pichette, Vincent, Rabasa-Lhoret, Remi, Steele, Andrew, Tangri, Navdeep, Torshizi, Ali, Woo, Vincent, Zalunardo, Nadia, Montenegro, María Alicia Fernández, Gonzalo Godoy Jorquera, Juan, Fariña, Marcelo Medina, Gajardo, Victor Saavedra, Vejar, Margarita, Chen, Nan, Chen, Qinkai, Gan, Shenglian, Kong, Yaozhong, Li, Detian, Li, Wenge, Li, Xuemei, Lin, Hongli, Liu, Jian, Lu, Weiping, Mao, Hong, Ren, Yan, Song, Weihong, Sun, Jiao, Sun, Lin, Tu, Ping, Wang, Guixia, Yang, Jinkui, Yin, Aiping, Yu, Xueqing, Zhao, Minghui, Zheng, Hongguang, Mendoza, Jose Luis Accini, Arcos, Edgar, Avendano, Jorge, Diaz Ruiz, Jorge Ernesto Andres, Ortiz, Luis Hernando Garcia, Gonzalez, Alexander, Triana, Eric Hernandez, Higuera, Juan Diego, Malaver, Natalia, de Salazar, Dora Inés Molina, Rosero, Ricardo, Alexandra Terront Lozano, Monica, Cometa, Luis Valderrama, Valenzuela, Alex, Vargas Alonso, Ruben Dario, Villegas, Ivan, Yupanqui, Hernan, Bartaskova, Dagmar, Barton, Petr, Belobradkova, Jana, Dohnalova, Lenka, Drasnar, Tomas, Ferkl, Richard, Halciakova, Katarina, Klokocnikova, Vera, Kovar, Richard, Lastuvka, Jiri, Lukac, Martin, Pesickova, Satu, Peterka, Karel, Pumprla, Jiri, Rychlik, Ivan, Saudek, Frantisek, Tesar, Vladimir, Valis, Martin, Weiner, Pavel, Zemek, Stanislav, Alamartine, Eric, Borot, Sophie, Cariou, Bertrand, Dussol, Bertrand, Fauvel, Jean-Pierre, Gourdy, Pierre, Klein, Alexandre, Le Meur, Yannick, Penfornis, Alfred, Roussel, Ronan, Saulnier, Pierre-Jean, Thervet, Eric, Zaoui, Philippe, Burst, Volker, Faghih, Markus, Faulmann, Grit, Haller, Hermann, Jerwan-Keim, Reinhold, Maxeiner, Stephan, Paschen, Björn, Plassmann, Georg, Rose, Ludger, Gonzalez Orellana, Ronaldo Arturo, Haase, Franklin Paul, Moreira Diaz, Juan Pablo, Ramirez Roca, Luis Alberto, Sánchez Arenales, Jose Antonio, Sanchez Polo, José Vicente, Juarez, Erick Turcios, Csecsei, Gyongyi, Csiky, Botond, Danos, Peter, Deak, Laszlo, Dudas, Mihaly, Harcsa, Eleonora, Keltai, Katalin, Keresztesi, Sandor, Kiss, Krisztian, Konyves, Laszlo, Major, Lajos, Mileder, Margit, Molnar, Marta, Mucsi, Janos, Oroszlan, Tamas, Ory, Ivan, Paragh, Gyorgy, Peterfai, Eva, Petro, Gizella, Revesz, Katalin, Takacs, Robert, Vangel, Sandor, Vasas, Szilard, Zsom, Marianna, Abraham, Oomman, Bhushan, Raju Sree, Deepak, Dewan, Edwin, Fernando M., Gopalakrishnan, Natarajan, Gracious, Noble, Hansraj, Alva, Jain, Dinesh, Keshavamurthy, C.B., Khullar, Dinesh, Manisha, Sahay, Peringat, Jayameena, Prasad, Narayan, Satyanarayana, Rao K., Sreedhar, Reddy, Sreelatha, Melemadathil, Sudhakar, Bhimavarapu, Chandra Vyasam, Ramesh, Bonadonna, Riccardo, Castellino, Pietro, Ceriello, Antonio, Chiovato, Luca, De Cosmo, Salvatore, De Nicola, Luca, Derosa, Giuseppe, Di Carlo, Alberto, Di Cianni, Graziano, Frascà, Giovanni, Fuiano, Giorgio, Gambaro, Giovanni, Garibotto, Giacomo, Giorda, Carlo, Malberti, Fabio, Mandreoli, Marcora, Mannucci, Edoardo, Orsi, Emanuela, Piatti, Piermarco, Santoro, Domenico, Sasso, Ferdinando Carlo, Serviddio, Gaetano, Stella, Andrea, Trevisan, Roberto, Veronelli, Anna Maria, Zanoli, Luca, Akiyama, Hitoshi, Aoki, Hiromi, Asano, Akimichi, Iitsuka, Tadashi, Kajiyama, Shizuo, Kashine, Susumu, Kawada, Toshio, Kodera, Takamoto, Kono, Hiroshi, Koyama, Kazunori, Kumeda, Yasuro, Miyauchi, Shozo, Mizuyama, Kazuyuki, Niiya, Tetsuji, Oishi, Hiroko, Ota, Satoshi, Sakakibara, Terue, Takai, Masahiko, Tomonaga, Osamu, Tsujimoto, Mitsuru, Wada, Takashi, Wakasugi, Masakiyo, Wakida, Yasushi, Watanabe, Takayuki, Yamada, Masayo, Yanagida, Kazuhiro, Yanase, Toshihiko, Yumita, Wataru, Gaupsiene, Egle, Kozloviene, Dalia, Navickas, Antanas, Urbanaviciene, Egle, Abdul Ghani, Rohana, Kadir, Khalid Abdul, Ali, Norsiah, Che Yusof, Mohd Daud, Gan, Chye Lee, Ismail, Mastura, Kong, Wei Yen, Lam, Swee Win, Lee, Li Yuan, Lim, Soo Kun, Loh, Chek Loong, Manocha, Anita Bhajan, Ng, Kee Sing, Ahmad, Nik Nur Fatnoon Nik, Ratnasingam, Vanassa, Shudim, Saiful Shahrizal Bin, Vengadasalam, Paranthaman, Abraira Munoz, Luis David, Salazar, Melchor Alpizar, Cruz, Juan Baas, Soto, Mario Burgos, Ramos, Jose Chevaile, Wong, Alfredo Chew, Correa Rotter, Jose Ricardo, Escalante, Tonatiu Diaz, Enriquez Sosa, Favio Edmundo, Lozano, Fernando Flores, Flota Cervera, Luis Fernando, Baron, Paul Frenk, Ballesteros, Cecilia Garcia, Gomez Rangel, Jose David, Herrera Jimenez, Luis Enrique, Irizar Santana, Sergio Saul, Flores, Fernando Jimenez, Molina, Hugo Laviada, Luna Ceballos, Rosa Isela, del Campo Blanco, Belia Martin, Franco, Guadalupe Morales, Moreno Loza, Oscar Tarsicio, Rocha, Cynthia Mustieles, Vera, Gregorio Obrador, Castellanos, Ricardo Orozco, Calcaneo, Juan Peralta, Reyes Rosano, Miguel Angel, Pattzi, Hiromi Rodriguez, Guzman, Juan Rosas, Rucker Joerg, Isabel Erika, Saavedra Sanchez, Sandra Berenice, Sanchez Mijangos, Jose Hector, Sanson, Pablo Serrano, Tamayo y Orozco, Juan Alfredo, Chavez, Eloisa Tellez, Cepeda, Alejandro Valdes, Carrillo, Luis Venegas, Mesa, Juan Villagordoa, Escobedo, Rolando Zamarripa, Baker, John, Noonan, Paul, Scott, Russell, Walker, Robert, Watson, Edward, Williams, Michael, Young, Simon, Abejuela, Zaynab, Agra, Jeimeen, Aquitania, Grace, Caringal, Clodoaido, Comia, Rhea Severina, Santos, Lalaine Delos, Gomez, Olivert, Jimeno, Cecilia, Santos, Florence, Tan, Gerry, Tolentino, Marsha, Yao, Christy, Yap, Yvette Ethel, Lallaine Ygpuara, Ma. Dovie, Bijata-Bronisz, Renata, Hotlos, Lucyna, Januszewicz, Andrzej, Kaczmarek, Barbara, Kaminska, Anna, Lazuka, Lech, Madej, Andrzej, Mazur, Stanislaw, Mlodawska-Choluj, Dorota, Nowicki, Michal, Orlowska-Kowalik, Grazyna, Popenda, Grazyna, Rewerska, Barbara, Sowinski, Dariusz, Angelescu, Liliana Monica, Anghel, Veronica, Avram, Rodica-Ioana, Busegeanu, Mihaela-Magdalena, Cif, Adriana, Cosma, Dana, Crisan, Carmen, Demian, Luiza Despina, Ferariu, Ioana Emilia, Halmagyi, Ildiko, Hancu, Nicolae, Munteanu, Mircea, Negru, Doru, Onaca, Adriana Gabriela, Petrica, Ligia, Popa, Amorin Remus, Ranetti, Aurelian-Emil, Serafinceanu, Cristian, Toarba, Cristina, Agafyina, Alina, Barbarash, Olga, Barysheva, Olga, Chizhov, Daniil, Dobronravov, Vladimir, Dreval, Alexander, Glinkina, Irina, Grineva, Elena, Khirmanov, Vladimir, Kolmakova, Elena, Koroleva, Tatiana, Kvitkova, Liudmila, Marasaev, Viacheslav, Mkrtumyan, Ashot, Morugova, Tatiana, Nagibovich, Galina, Nagibovich, Oleg, Nedogoda, Sergei, Osipova, Irina, Raskina, Tatiana, Samoylova, Yulia, Sazonova, Olga, Shamkhalova, Minara, Shutemova, Elena, Shwartz, Yuriy, Uriasyev, Oleg, Vorobyev, Sergey, Zateyshchikova, Anna, Zateyshshikov, Dmitry, Zykova, Tatyana, Antic, Slobodan, Djordjevic, Miodrag, Kendereski, Aleksandra, Lalic, Katarina, Lalic, Nebojsa, Popovic-Radinovic, Vesna, Babikova, Jana, Benusova, Olga, Buganova, Ingrid, Culak, Jan, Dzupina, Andrej, Dzuponova, Jana, Fulop, Peter, Ilavska, Adriana, Martinka, Emil, Ochodnicka, Zuzana, Pella, Daniel, Smatanova, Iveta, Ahmed, Fayzal, Badat, Aysha, Breedt, Johannes, Distiller, Lawrence, Govender, Vimladhevi, Govender, Ravendran, Joshi, Mukesh, Jurgens, Jaco, Latiff, Gulam, Lombard, Landman, Mookadam, Mohamed, Ngcakani, Nomangesi, Nortje, Hendrik, Oosthuizen, Helena, Pillay-Ramaya, Larisha, Prozesky, Hans, Reddy, Jeevren, Rheeder, Paul, Seeber, Mary, Chae, Dong-Wan, Cho, Young Min, Jeong, In-Kyung, Kim, Sin Gon, Kim, Yeong Hoon, Kwon, Hyuk-Sang, Kwon, Min Jeong, Lee, Byung-Wan, Lee, JungEun, Lee, Moon-Kyu, Nam, Moon-Suk, Oh, Kook-Hwan, Park, Cheol- Young, Park, Sun-Hee, Yoon, Kun Ho, Garcia, Pere Alvarez, Mercadal, Luis Asmarats, Barrios, Clara, Castro, Fernando Cereto, Guldris, Secundino Cigarran, Lopez, Marta Dominguez, Egido de los Rios, Jesus, Fresnedo, Gema Fernandez, Serrano, Antonio Galan, Garcia, Isabel, Gonzalez Martinez, Francisco Javier, Jodar Gimeno, Jose Esteban, Mendoza, Manuel Lopez, Marin, Tamara Malek, Portillo, Cristobal Morales, Munar Vila, Maria Antonia, Torres, Manuel Muñoz, Iglesias, Javier Nieto, Perez, Jonay Pantoja, Vera, Merce Perez, Portoles Perez, Jose M., Quesada Simón, María Angustias, Canonge, Rafael Simo, Gonzalez, Alfonso Soto, Riera, Manel Terns, Tinahones Madueno, Francisco Jose, Plaza, Mercedes Velo, Chang, Chwen-Tzuei, Chuang, Lee-Ming, Hsia, Te-Lin, Hsieh, Chang-Hsun, Hwang, Shang-Jyh, Lin, Chih-Ching, Lu, Yung- Chuan, Sheu, Wayne H-H, Barna, Olga, Bilyk, Svitlana D., Botsyurko, Volodymyr, Dudar, Iryna, Fushtey, Ivan, Godlevska, Olga, Golovchenko, Oleksandr, Gyrina, Olga, Kazmirchuk, Anatoliy, Kolesnyk, Mykola, Komisarenko, Iuliia, Korzh, Oleksii, Kravchun, Nonna, Legun, Oleg, Mankovskyy, Borys, Martynyuk, Liliya, Mostovoy, Yuriy, Pashkovska, Nataliia, Pererva, Larysa, Pertseva, Tetyana, Samoylov, Oleksandr, Smirnov, Ivan, Svyshchenko, Yevgeniya, Tomashkevych, Halyna, Topchii, Ivan, Tryshchuk, Nadiya, Tseluyko, Vira, Vizir, Vadym, Vlasenko, Maryna, Zlova, Tetiana, Zub, Liliia, Abusnana, Salah, Railey, Mohamed, Abouglila, Kamal, Ainsworth, Paul, Ali, Zishan, Arutchelvam, Vijayaraman, Barnard, Maria, Bellary, Srikanth, Davies, Emyr, Davies, Mark, Davies, Simon, Dawson, Alison, El Kossi, Mohsen, English, Patrick, Fraser, Donald, Gnudi, Luigi, Gunstone, Anthony, Hall, Timothy, Hanif, Wasim, Jackson, Alan, Johnson, Andrew, Joseph, Franklin, Krishnan, Singhan, Kumwenda, Mick, MacDougall, Iain, Nixon, Paul, O'Hare, Joseph, Philip, Sam, Ramtoola, Shenaz, Saxena, Manish, Sennik, Davesh, Simon, Godwin, Singh, Baldev, Stephens, Jeffrey, Strzelecka, Anna, Symonds, Rehan, Turner, Wayne, Wahba, Mona, Wakeling, John, Wheeler, David, Winocour, Peter, Abdallah, Joseph, Abdullah, Raied, Abramowitz, Matthew, Acosta, Idalia, Aiello, Joseph, Akright, Laura, Akyea-Djamson, Ayim, Alappan, Rajendran, Alicic, Radica, Al-Karadsheh, Amer, Allison, Dale Crawford, Arauz-Pacheco, Carlos, Arfeen, Shahabul, Arif, Ahmed, Arvind, Moogali, Atray, Naveen, Awad, Ahmed, Bakris, George, Barnhill, Peggy, Barranco, Elizabeth, Barrera, Carlos, Beacom, Matthew, Behara, Venkata, Belo, Diogo, Bentley-Lewis, Rhonda, Berenguer, Ramon, Bermudez, Lidia, Bernardo, Marializa, Biscoveanu, Mihaela, Bowman-Stroud, Cynthia, Brandon, Donald, Brusco, Osvaldo, Busch, Robert, Canaan, Yamil, Chilito, Alicia, Christensen, Tom, Christiano, Cynthia, Christofides, Elena, Chuateco, Caroucel, Cohen, Kenneth, Cohen, Robert, Cohen-Stein, Debbie, Cook, Charles, Coyne, Daniel, Daboul, Nizar, Darwish, Riad, Daswani, Adarsh, Deck, Kenneth, Desouza, Cyrus, Dev, Devasmita, Dhillon, Monika, Dua, Sohan, Eder, Frank, Elosegui, Ana Maria, El-Shahawy, Mohamed, Ervin, John, Esquenazi, Alberto, Evans, John, Fishbane, Steven, Frias, Juan, Galindo-Ramos, Eugenia, Galphin, Claude, Ghazi, Adline, Gonzalez, Enrique, Gorson, David, Gowda, Anupama, Greco, Barbara, Grubb, Stephen, Gulati, Rakesh, Hammoud, Jamal, Handelsman, Stuart, Hartman, Israel, Hershon, Kenneth, Hiser, Daniel, Hon, George, Jacob, Radu, Jaime, Maria, Jamal, Aamir, Kaupke, Charles, Keightley, Gerald, Kern, Elizabeth, Khanna, Rakhi, Khitan, Zeid, Kim, Sun, Kopyt, Nelson, Kovesdy, Csaba, Krishna, Gopal, Kropp, Jeffrey (Jay), Kumar, Amrendra, Kumar, Jayant, Kumar, Neil, Kusnir, Jorge, Lane, Wendy, Lawrence, Mary, Lehrner, Lawrence, Lentz, John, Levinson, Dennis, Lewis, Derek, Liss, Kenneth, Maddux, Andreas, Maheshwari, Hiralal, Mandayam, Sreedhar, Marar, Isam, Mehta, Bhasker, Middleton, John, Mordujovich, Jorge, Moreda, Ramon, Moustafa, Moustafa, Trenche, Samuel Mujica, Narayanan, Mohanram, Narvarte, Javier, Nassar, Tareq, Newman, George, Nichol, Brian, Nicol, Philip, Nisnisan, Josier, Nossuli, A. Kaldun, Obialo, Chamberlain, Olelewe, Sarah, Oliver, Michael, O'Shaughnessy, Andrew, Padron, John, Pankhaniya, Rohit, Parker, Reginald, Patel, Devesh, Patel, Gnyandev, Patel, Nina, Pavon, Humberto, Perez, Armando, Perez, Carlos, Perlman, Alan, Pettis, Karlton, Pharr, Walter, Phillips, Andrea, Purighalla, Raman, Quesada-Suarez, Luis, Ranjan, Rajiv, Rastogi, Sanjeev, Reddy, Jakkidi, Rendell, Marc, Rich, Lisa, Robinson, Michael, Rodriguez, Hector, Rosas, Sylvia, Saba, Fadi, Sankaram, Rallabhandi, Sarin, Ravi, Schreiman, Robert, Scott, David, Sekkarie, Mohamed, Sensenbrenner, John, Shakeel, Muhammad, Shanik, Michael, Shaw, Sylvia, Smith, Stephen, Solomon, Richard, Sprague, Amy, Spry, Leslie, Suchinda, Pusadee, Sultan, Senan, Surampudi, Prasanth, Sussman, Sherry, Tan, Anjanette, Terrelonge, Antonio, Thompson, Michael, Trespalacios, Fernando, Trippe, Bruce, Trueba, Pilar, Twahirwa, Marcel, Updegrove, John, Van Buren, Peter, Vannorsdall, Mark, Varghese, Freemu, Velasquez-Mieyer, Pedro, Ventrapragada, Sailaja, Vukotic, Goga, Wadud, Khurram, Warren, Mark, Watson, Henry, Watts, Ronald, Weiner, Daniel, Welker, James, Welsh, Jean, Williams, Shelley, and Zaniewski-Singh, Michelle

Abstract

It is unclear whether the effect of canagliflozin on adverse kidney and cardiovascular events in those with diabetic kidney disease varies by age and sex. We assessed the effects of canagliflozin among age group categories and between sexes in the Canagliflozin and Renal Endpoints in Diabetes with Established Nephropathy Clinical Evaluation (CREDENCE) study.

Published
2023
Full Text
View/download PDF

15. Is it possible to predict improved diabetes outcomes following diabetes self-management education: a mixedmethods longitudinal design.

Author

Huxley, Caroline, Sturt, Jackie, Dale, Jeremy, Walker, Rosie, Caramlau, Isabela, O'Hare, Joseph P., and Griffiths, Frances

Abstract

Objective: To predict the diabetes-related outcomes of people undertaking a type 2 Diabetes Self- Management Education (DSME) programme from their baseline data. Design: A mixed-methods longitudinal experimental study. 6 practice nurses and 2 clinical academics undertook blind assessments of all baseline and process data to predict clinical, behavioural and psychological outcomes at 6 months post-DSME programme. Setting: Primary care. Participants: -31 people with type 2 diabetes who had not previously undertaken DSME. Intervention: All participants undertook the Diabetes Manual 1:1 self-directed learning 12-week DSME programme supported by practice nurses trained as Diabetes Manual facilitators. Outcome variables: Glycated haemoglobin (HbA1c), diabetes knowledge, physical activity, waist circumference, self-efficacy, diabetes distress, anxiety, depression, demographics, change talk and treatment satisfaction. These variables were chosen because they are known to influence self-management behaviour or to have been influenced by a DSME programme in empirical evidence. Results: Baseline and 6-month follow-up data were available for 27 participants of which 13 (48%) were male, 22 (82%) white British, mean age 59 years and mean duration of type 2 diabetes 9.1 years. Significant reductions were found in HbA1c t(26)=2.35, p=0.03, and diabetes distress t(26)=2.30, p=0.03, and a significant increase in knowledge t(26)=-2.06, p=0.05 between baseline and 6 months. No significant changes were found in waist circumference, physical activity, anxiety, depression or self-efficacy. Accuracy of predictions varied little between clinical academics and practice nurses but greatly between outcome (0-100%). The median and mode accuracy of predicted outcome was 66.67%. Accuracy of prediction for the key outcome of HbA1c was 44.44%. Diabetes distress had the highest prediction accuracy (81.48%). Conclusions: Clinicians in this small study were unable to identify individuals likely to achieve improvement in outcomes from DSME. DSME should be promoted to all patients with diabetes according to guidelines. [ABSTRACT FROM AUTHOR]

Published
2015
Full Text
View/download PDF

17. PERFACE.

Author

O'Hare, Joseph A.

Subjects
PREFACES & forewords, CHRISTIAN sects
Abstract

A preface for the book "No Religion Is an Island: The Nostra Aetate Dialogues," is presented.

Published
1998

19. Max von Sydow beyond 'The Exorcist'.

Author

Di Corpo, Ryan and O'Hare, Joseph A.

Abstract

The article features actor Max von Sydow, who played the aged Jesuit Father Lankester Merrin in the film "The Exorcist."

Published
2020

21. Impact of Pay for Performance Initiatives on the Care of South Asian Patients with Type 2 Diabetes.

Author

Bellary, Srikanth, O'Hare, Joseph P., Raymond, Neil T., Mughal, Shanaz, Johal, Kam, Kumar, Sudhesh, and Barnett, Anthony H.

Subjects
*PAY for performance, *MEDICAL care, *PEOPLE with diabetes, *PHYSICIANS, *SOUTH Asians
Abstract

Pay for performance initiatives have been proposed as a means of reducing health care inequalities in primary care. As a part of its strategy to improve standards in primary care the UK Government in 2004 introduced a new contract for primary care physicians linking pay to performance (Quality and Outcomes Framework-QOF). We examined the impact of this initiative on south Asian patients with type 2 diabetes in UK and compared them with the targets set by various national and international bodies. 1492 south Asian patients with type 2 diabetes recruited from 18 general practices in Birmingham and Coventry to the United Kingdom Asian Diabetes Study(UKADS) were studied. Data on blood pressure, total cholesterol and HbA1c at baseline and at 1 year after implementation of contract was collected. The percentage of patients achieving the QOF targets (BP < 145/85 mmHg, Total Cholesterol <5 mmol, HbA1c<7.5%) at baseline and at 1 year was compared against internationally accepted targets for diabetes (BP< 130/80, Total Cholesterol <4 mmol, HbA1c<7%). At baseline the percentages of patients achieving the QOF and international targets were -BP 45 v19, Total Cholesterol 63 v 26 and HbA1c 40 v 29 respectively. After 1 year of implementation of the contract the corresponding percentages were- BP 55 v 28, Total Cholesterol 75 v 36 and HbA1c 43 v 31 respectively. Linking pay to performance initiative improves general standards of care but falls significantly short of meeting the targets recommended by various national and international advisory bodies for patients with diabetes. Stricter and evidence based targets are required to redress this deficiency. [ABSTRACT FROM AUTHOR]

Published
2007

22. Comparative Analysis of NF κB and JNK Activation in Human Abdominal Adipose Tissue: the Effects of Abdominal Fat Depot, Adiposity, Diabetic Status and in vitro TNFα.

Author

Da Silva, Nancy F., Fowler, Anne E., Creely, Steven J., Harte, Alison L., Baker, Adam R., Kusminski, Christine M., O'Hare, Joseph P., Kumar, Sudhesh, and McTernan, Philip G.

Subjects
ADIPOSE tissues, NF-kappa B, TYPE 2 diabetes, JNK mitogen-activated protein kinases, INSULIN resistance, OBESITY, FAT cells, METABOLIC disorders
Abstract

Central obesity is strongly associated with sub-clinical inflammation, insulin resistance (IR) and type 2 diabetes mellitus (T2DM), but the intracellular mechanisms involved in the pathogenesis of central obesity remain unclear. Recent studies have implicated NF κB and c-Jun N terminal kinase (JNK) as central molecules linking insulin action and inflammation in mice. Our study aimed to investigate (1) the central inflammatory intracellular signaling pathways involving NF κB and JNK activation in abdominal subcutaneous (AbdSc) and omental (Ore) human adipose tissue, (2) the influence of adiposity and diabetic status on the activation of the NF κB and its key intermediates and JNK within these AT depots and (3) the effects of TNFα, a known mediator of inflammation in mice, on NF κB and JNK activity in human AbdSc adipocytes. Our data showed that ex vivo IKKβ, IKKγ, I κBα and I κB α -P protein expression was increased in Om AT compared with AbdSc AT (p<0.01). The ratio of active NF κB to total NF κB expression (NF κB ratio) was upregulated in Om AT compared with AbdSc in both lean and obese subjects (p<0.05). Whilst, phosphospecific JNK1 was increased 5.8 fold in the AbdSc depot, (p<0.01), compared with Om AT. In in vitro TNF α treated AbdSc adipocytes NF κB activity increased over time (2-48 hr, p<0.05), however JNK activity remained unchanged. In conclusion, these findings suggest distinct inflammatory signaling pathways with increased NF κB in human Om AT and JNK in AbdSc AT. In addition, NF κB was influenced by obesity and diabetic status, whilst TNF α treated AbdSc lead to activation of NF κB and not JNK. Consequently, NF κB appears to play a more central role in inflammatory mediated metabolic disease than JNK, highlighting NF κB as a potential key target for therapeutic intervention. [ABSTRACT FROM AUTHOR]

Published
2007

23. Telomere Length Attrition, a Marker of Biological Senescence, Is Inversely Correlated with Triglycerides and Cholesterol in South Asian Males with Type 2 Diabetes Mellitus

Author

L. Harte, Alison, F. da Silva, Nancy, A. Miller, Michelle, P. Cappuccio, Francesco, Kelly, Ann, P. O’Hare, Joseph, H. Barnett, Anthony, M. Al-Daghri, Nasser, Al-Attas, Omar, Alokail, Majed, Sabico, Shaun, Tripathi, Gyanendra, Bellary, Srikanth, Kumar, Sudhesh, and G. McTernan, Philip

Abstract

South Asians have a higher risk of type 2 diabetes mellitus (T2DM) and cardiovascular disease (CVD) than white Caucasians, for a given BMI. Premature biological ageing, assessed by reduction in telomere length (TL), may be mediated by factors resulting from altered metabolic profiles associated with obesity. We hypothesise that ethnicity and metabolic status represent detrimental factors contributing to premature biological ageing. Therefore we assessed TL in two South Asian, age and BMI-matched cohorts [T2DM (n=142) versus non-T2DM (n=76)] to determine the effects of BMI, gender, lipid and CVD profile on biological ageing. Genomic DNA was obtained from the UKADS cohort; biochemical and anthropometric data was collected and TL was measured by quantitative real-time PCR. Our findings indicated a gender-specific effect with reduced TL in T2DM men compared with non-T2DM men (P=0.006). Additionally, in T2DM men, TL was inversely correlated with triglycerides and total cholesterol (r=−0.419, P<0.01; r=−0.443, P<0.01). In summary, TL was reduced amongst South Asian T2DM men and correlated with triglycerides and total cholesterol. This study highlights enhanced biological ageing among South Asian, T2DM men, which appears to be tracked by changes in lipids and BMI, suggesting that raised lipids and BMI may directly contribute to premature ageing.

Published
2012
Full Text
View/download PDF

25. Our canine kin.

Author

De Loera-Brust, Antonio and O’Hare, Joseph A.

Published
2018

Catalog

Books, media, physical & digital resources
See catalog results