151 research outputs found

    Experimental free energy measurements of kinetic molecular states using fluctuation theorems

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    Recent advances in non-equilibrium statistical mechanics and single molecule technologies make it possible to extract free energy differences from irreversible work measurements in pulling experiments. To date, free energy recovery has been focused on native or equilibrium molecular states, whereas free energy measurements of kinetic states (i.e. finite lifetime states that are generated dynamically and are metastable) have remained unexplored. Kinetic states can play an important role in various domains of physics, such as nanotechnology or condensed matter physics. In biophysics, there are many examples where they determine the fate of molecular reactions: protein and peptide-nucleic acid binding, specific cation binding, antigen-antibody interactions, transient states in enzymatic reactions or the formation of transient intermediates and non-native structures in molecular folders. Here we demonstrate that it is possible to obtain free energies of kinetic states by applying extended fluctuation relations. This is shown by using optical tweezers to mechanically unfold and refold DNA structures exhibiting intermediate and misfolded kinetic states.Comment: main paper (16 pages, 5 figures) and supplementary information (22 pages, 14 figures

    Deepening Understanding of Certification Adoption and Non-Adoption of International-Supplier Ethical Standards

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    This study presents a theory of causally complex configurations of antecedent conditions influencing the adoption versus non-adoption of international supplier ethical certification-standards. Using objective measures of antecedents and outcomes, a large-scale study of exporting firms in the cut-flower industry in two South American countries (Colombia and Ecuador) supports the theory. The theory includes the following and additional propositions. No single (simple)-antecedent condition is sufficient for accurately predicting a high membership score in outcome conditions; the outcome conditions include a firm’s adoption or rejection of a product certification. No single (simple)-antecedent condition is necessary for accurately predicting high scores in the outcome condition. A few complex antecedent conditions (configurations) are sufficient but the occurrence of each is not necessary for accurately predicting high scores (e.g., adoption) in an outcome condition. Causal asymmetry of antecedent conditions indicating adoption versus non-adoption of specific ethical standards occurs—that is, causal conditions leading to rejection are not the mirror opposites of causal conditions leading to adoption

    Development of the conceptual framework for the Eye-Drop Satisfaction Questionnaire (EDSQ©) in glaucoma using a qualitative study

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    <p>Abstract</p> <p>Background</p> <p>Compliance is a major issue in glaucoma care. It is usually poor in glaucomatous patients, and may ultimately result in an acceleration of the disease progression and a risk of blindness. Reasons for this poor compliance are complex and multifactorial, amongst which patient satisfaction can be counted. The objective of this study was to develop a questionnaire to assess patient satisfaction and compliance with eye-drop treatment.</p> <p>Methods</p> <p>A qualitative study was carried out to develop the questionnaire. An interview guide was developed based on a literature review. Structured interviews of fifteen French and English patients with primary open-angle glaucoma or intraocular hypertension were conducted by trained interviewers of the native language of the interviewees. General concepts and subconcepts were identified from the transcripts. The questionnaire was developed using the patient verbatim, and submitted to six patients (French and English) for cognitive debriefing. Following patients' comments, items were modified and restructured, and a pilot questionnaire was designed.</p> <p>Results</p> <p>Analysis of data from the interviews with patients and clinicians resulted in the elicitation of concepts related to patient satisfaction and compliance with glaucomatous treatment. These were further refined and used to generate a test questionnaire, which consisted of 46 items grouped into 6 domains: patient characteristics, treatment characteristics, patient-clinician relationship, patient experience with the disease and the treatment, interaction between the patient and the treatment, and patient knowledge of the disease and the treatment.</p> <p>Conclusion</p> <p>The Eye-Drop Satisfaction Questionnaire (EDSQ) conceptual framework and items were developed simultaneously in French and in English. This questionnaire could be used to evaluate patient satisfaction and compliance with eye-drop treatment and would facilitate the identification of patients at risk of being non-compliant prior to clinical trials or innovative device tests. A psychometric study is under way to validate the questionnaire.</p

    Program design features that can improve participation in health education interventions

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    <p>Abstract</p> <p>Background</p> <p>Although there have been reported benefits of health education interventions across various health issues, the key to program effectiveness is participation and retention. Unfortunately, not everyone is willing to participate in health interventions upon invitation. In fact, health education interventions are vulnerable to low participation rates. The objective of this study was to identify design features that may increase participation in health education interventions and evaluation surveys, and to maximize recruitment and retention efforts in a general ambulatory population.</p> <p>Methods</p> <p>A cross-sectional questionnaire was administered to 175 individuals in waiting rooms of two hospitals diagnostic centres in Toronto, Canada. Subjects were asked about their willingness to participate, in principle, and the extent of their participation (frequency and duration) in health education interventions under various settings and in intervention evaluation surveys using various survey methods.</p> <p>Results</p> <p>The majority of respondents preferred to participate in one 30–60 minutes education intervention session a year, in hospital either with a group or one-on-one with an educator. Also, the majority of respondents preferred to spend 20–30 minutes each time, completing one to two evaluation surveys per year in hospital or by mail.</p> <p>Conclusion</p> <p>When designing interventions and their evaluation surveys, it is important to consider the preferences for setting, length of participation and survey method of your target population, in order to maximize recruitment and retention efforts. Study respondents preferred short and convenient health education interventions and surveys. Therefore, brevity, convenience and choice appear to be important when designing education interventions and evaluation surveys from the perspective of our target population.</p

    Development of a peer support intervention to encourage dietary behaviour change towards a Mediterranean diet in adults at high cardiovascular risk.

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    BACKGROUND: Mediterranean diet (MD) interventions are demonstrated to significantly reduce cardiovascular disease (CVD) risk but are typically resource intensive and delivered by health professionals. There is considerable interest to develop interventions that target sustained dietary behaviour change and that are feasible to scale-up for wider public health benefit. The aim of this paper is to describe the process used to develop a peer support intervention to encourage dietary behaviour change towards a MD in non-Mediterranean adults at high CVD risk. METHODS: The Medical Research Council (MRC) and Behaviour Change Wheel (BCW) frameworks and the COM-B (Capability, Opportunity, Motivation, Behaviour) theoretical model were used to guide the intervention development process. We used a combination of evidence synthesis and qualitative research with the target population, health professionals, and community health personnel to develop the intervention over three main stages: (1) we identified the evidence base and selected dietary behaviours that needed to change, (2) we developed a theoretical basis for how the intervention might encourage behaviour change towards a MD and selected intervention functions that could drive the desired MD behaviour change, and (3) we defined the intervention content and modelled outcomes. RESULTS: A theory-based, culturally tailored, peer support intervention was developed to specifically target behaviour change towards a MD in the target population. The intervention was a group-based program delivered by trained peer volunteers over 12-months, and incorporated strategies to enhance social support, self-efficacy, problem-solving, knowledge, and attitudes to address identified barriers to adopting a MD from the COM-B analysis. CONCLUSIONS: The MRC and BCW frameworks provided a systematic and complementary process for development of a theory-based peer support intervention to encourage dietary behaviour change towards a MD in non-Mediterranean adults at high CVD risk. The next step is to evaluate feasibility, acceptability, and diet behaviour change outcomes in response to the peer support intervention (change towards a MD and nutrient biomarkers) using a randomized controlled trial design

    Hospital outpatient perceptions of the physical environment of waiting areas: the role of patient characteristics on atmospherics in one academic medical center

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    <p>Abstract</p> <p>Background</p> <p>This study examines hospital outpatient perceptions of the physical environment of the outpatient waiting areas in one medical center. The relationship of patient characteristics and their perceptions and needs for the outpatient waiting areas are also examined.</p> <p>Method</p> <p>The examined medical center consists of five main buildings which house seventeen primary waiting areas for the outpatient clinics of nine medical specialties: 1) Internal Medicine; 2) Surgery; 3) Ophthalmology; 4) Obstetrics-Gynecology and Pediatrics; 5) Chinese Medicine; 6) Otolaryngology; 7) Orthopedics; 8) Family Medicine; and 9) Dermatology. A 15-item structured questionnaire was developed to rate patient satisfaction covering the four dimensions of the physical environments of the outpatient waiting areas: 1) visual environment; 2) hearing environment; 3) body contact environment; and 4) cleanliness. The survey was conducted between November 28, 2005 and December 8, 2005. A total of 680 outpatients responded. Descriptive, univariate, and multiple regression analyses were applied in this study.</p> <p>Results</p> <p>All of the 15 items were ranked as relatively high with a range from 3.362 to 4.010, with a neutral score of 3. Using a principal component analysis' summated scores of four constructed dimensions of patient satisfaction with the physical environments (i.e. visual environment, hearing environment, body contact environment, and cleanliness), multiple regression analyses revealed that patient satisfaction with the physical environment of outpatient waiting areas was associated with gender, age, visiting frequency, and visiting time.</p> <p>Conclusion</p> <p>Patients' socio-demographics and context backgrounds demonstrated to have effects on their satisfaction with the physical environment of outpatient waiting areas. In addition to noticing the overall rankings for less satisfactory items, what should receive further attention is the consideration of the patients' personal characteristics when redesigning more comfortable and customized physical environments of waiting areas.</p

    Wellbeing indicators affecting female entrepreneurship in OECD countries

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    [EN] The objective of this research is to know which wellbeing indicators, such as work-life balance, educational level, income or job security, are related to the rate of female entrepreneurship in 29 OECD countries. In addition, these countries have been classified according to the motivation of the entrepreneur either by necessity or by opportunity. The empiric study is focused on 29 OECD countries covering the different geographic areas (Western Europe, Central and Eastern Europe, Middle East, etc.) Due to the fact that the sample is relatively small, it is essential to use a selective approach when selecting the causal conditions. To this end, fsQCA is the most appropriate methodology for such a small data set. A total of 5 variables have been used: an independent variable (female TEA ratio), and four dependent variables (work life balance, educational level, sustainable household income and job security). Data measuring female TEA ratio have been obtained from Global Entrepreneur Monitor (GEM in Global report, 2015) data base, while data measuring wellbeing dimensions were taken from the Better Life Index (OECD in HowÂżs life? Measuring wellbeing, 2015. http://www.oecdbetterlifeindex.org). The results of this piece of research show that countries with high sustainable household income together with high level of education achieves high female entrepreneurship ratio with both, a good work-life balance (despite of a high unemployment probability), or a high labour-personal imbalance (in this latter, with a low probability of unemployment).This work has been funded by the R + D project for emerging research groups with reference (GVA) GV/2016/078.Ribes-Giner, G.; Moya Clemente, I.; CervellĂł Royo, RE.; PerellĂł MarĂ­n, MR. (2019). Wellbeing indicators affecting female entrepreneurship in OECD countries. Quality & Quantity. 53(2):915-933. https://doi.org/10.1007/s11135-018-0796-4S915933532Ahl, H., Nelson, T.: How policy positions women entrepreneurs: a comparative analysis of state discourse in Sweden and the United States. J. Bus. Ventur. 30(2), 273–291 (2015). https://doi.org/10.1016/j.jbusvent.2014.08.002Andersson, P.: Happiness and health: wellbeing among the self-employed. J. Socio-Econ. 37(1), 213–236 (2008). https://doi.org/10.1016/j.socec.2007.03.003Bardasi, E., Sabarwal, S., Terrell, K.: How do female entrepreneurs perform? Evidence from three developing regions. Small Bus. Econ. 37(4), 417–441 (2011). https://doi.org/10.1007/s11187-011-9374-zBergheim, S., Schneider, S., Giesel, B., Walter, N.: Measures of Wellbeing. There is More to it Than GDP. Deutsche Bank Research, Frankfurt (2006)Berglund, H.: Between cognition and discourse: phenomenology and the study of entrepreneurship. Int. J. Entrep. Behav. Res. 21(3), 472–488 (2015). https://doi.org/10.1108/IJEBR-12-2013-0210Bianchi, M., Parisi, V., Salvatore, R.: Female entrepreneurs: motivations and constraints. An Italian regional study. Int. J. Gend. Entrep. 8(3), 198–220 (2016). https://doi.org/10.1108/IJGE-08-2015-0029Bittencourt Marconatto, D.A., Barin-Cruz, L., Pozzebon, M., Poitras, J.E.: Developing sustainable business models within BOP contexts: mobilizing native capability to cope with government programs. J. Clean. Prod. 129, 735–748 (2016). https://doi.org/10.1016/j.jclepro.2016.03.038Boarini, R., Comola, M., Smith, C., Manchin, R., de Keulenaer, F.: What makes for a better life? The determinants of subjective well-being in OECD countries—evidence from the Gallup World Poll. OECD statistics working papers, 2012(3), 0_1 (2012). https://doi.org/10.1787/5k9b9ltjm937-enBoarini, R., D’Ercole, M.M.: Going beyond GDP: an OECD perspective. Fisc. Stud. 34(3), 289–314 (2013). https://doi.org/10.1111/j.1475-5890.2013.12007.xBradshaw, J., Hoelscher, P., Richardson, D. (eds.): Comparing child well-being in OECD countries: Concepts and methods. Innocenti working paper, IWP-2006-03. UNICEF Innocenti Research Centre, Florence, Italy (2007)Brindley, C.: Barriers to women achieving their entrepreneurial potential. Int. J. Entrep. Behav. Res. Emerald Group Publishing Limited (2005). Retrieved from http://www.emeraldinsight.com/doi/full/10.1108/13552550510590554Burke, A.E., Fitzroy, F.R., Nolan, M.A.: What makes a die-hard entrepreneur? Beyond the “employee or entrepreneur” dichotomy. Small Bus. Econ. 31(2), 93–115 (2008). https://doi.org/10.1007/s11187-007-9086-6Buttner, H.E., Moore, D.P.: Women’s organizational exodus to entrepreneurship: self-reported motivations and correlates with success. J. Small Bus. Manag. 35(1), 34–46 (1997). Retrieved from http://search.ebscohost.comCarter, S.: The rewards of entrepreneurship: exploring the incomes, wealth, and economic wellbeing of entrepreneurial households. Entrep. Theory Pract. 35(1), 39–55 (2011)Castaño, M.-S., MĂ©ndez, M.-T., Galindo, M.Á.: The effect of social, cultural, and economic factors on entrepreneurship. J. Bus. Res. 68(7), 1496–1500 (2015). https://doi.org/10.1016/j.jbusres.2015.01.040Castellano, R., Musella, G., Punzo, G.: Structure of the labour market and wage inequality: evidence from European countries. Qual. Quant. 51(5), 2191–2218 (2017)CervellĂł-Royo, R., Moya-Clemente, I., Ribes-Giner, G.: Microfinance Institutions (MFIs) in Latin America: Who should finance the entrepreneurial ventures of the less privileged? In: Peris-Ortiz, M., Sahut, J.-M. (eds.) New Challenges in Entrepreneurship and Finance, pp. 235–245. Springer, Cham (2015)CervellĂł-Royo, R., Guijarro, F., Martinez-Gomez, V.: Social performance considered within the global performance of Microfinance Institutions: a new approach. Oper. Res. (2017). https://doi.org/10.1007/s12351-017-0360-3Chaaban, J., Irani, A., Khoury, A.: The composite global wellbeing index (CGWBI): a new multi-dimensional measure of human development. Soc. Indic. Res. 129(1), 465–487 (2016). https://doi.org/10.1007/s11205-015-1112-5Chapple, S.: Child wellbeing and sole-parent family structure in the OECD: an analysis. OECD. Social, employment, and migration working papers (82), 0_1 (2009)Christofides, L.N., Polycarpou, A., Vrachimis, K.: Gender wage gaps, “sticky floors” and “glass ceilings” in Europe. Labour Econ. 21, 86–102 (2013). https://doi.org/10.1016/j.labeco.2013.01.003Cumming, D., Hou, W., Lee, E.: Sustainable and ethical entrepreneurship, corporate finance and governance, and institutional reform in China. J. Bus. Ethics 134(4), 505–508 (2016). https://doi.org/10.1007/s10551-014-2381-7Cummins, R.A., Eckersley, R., Pallant, J., Van Vugt, J., Misajon, R.: Developing a national index of subjective wellbeing: the Australian Unity Wellbeing Index. Soc. Indic. Res. 64(2), 159–190 (2003). https://doi.org/10.1023/A:1024704320683De la Cruz SĂĄnchez-Escobedo, M., DĂ­az-Casero, J.C., DĂ­az-AuniĂłn, Á.M., HernĂĄndez-MogollĂłn, R.: Gender analysis of entrepreneurial intentions as a function of economic development across three groups of countries. Int. Entrep. Manag. J. 10(4), 747–765 (2014). https://doi.org/10.1007/s11365-014-0314-7Diener, E.: Subjective wellbeing. In: Diener, E. (ed.) The Sicence of Wellbeing, pp. 11–58. Springer, Dordrecht (2009). https://doi.org/10.1007/978-90-481-2350-6_2Dodge, R., Daly, A., Huyton, J., Sanders, L.: The challenge of defining wellbeing. Int. J. Wellbeing 2(3), 222–235 (2012). https://doi.org/10.5502/ijw.v2i3.4Fiss, P.C.: Building better casual theories: a fuzzy set approach to typologies in organization research. Acad. Manag. J. 54(2), 393–420 (2011)Fleche, S., Smith, C., Sorsa, P.: Exploring determinants of subjective wellbeing in OECD countries (2011)Fleche, S., Smith, C., Sorsa, P.: Exploring determinants of subjective wellbeing in OECD countries evidence from the world value survey. Working papers, OECD Statistics (2012). https://doi.org/10.1787/5kg0k6zlcm5k-enFoley, A., Griffith, B.: Education, training and the promotion of high quality entrepreneurs in the Republic of Ireland. In: Scott, M.G., Rosa, P., Klandt, H. (eds.) Educating Entrepreneurs for Wealth Creation. Ashgate, Aldershot (1998)Garikipati, S.: Microcredit and women’s empowerment: through the lens of time-use data from rural India. Dev. Change 43(3), 719–750 (2012). https://doi.org/10.1111/j.1467-7660.2012.01780.xGEM (Global Entrepreneurship Monitor): Global report (2015)Harter, J.K., Schmidt, F.L., Keyes, C.L.M.: Wellbeing in the workplace and its relationship to business outcomes. A review of the Gallup studies. In: Keyes, C.L.M., Haidt, J. (eds.) Flourishing: The Positive Person and the Good Life, pp. 205–224. American Psychologi cal Association, Washington (2003)Henry, C., Foss, L., Ahl, H.: Gender and entrepreneurship research: a review of methodological approaches. Int. Small Bus. J. 34(3), 217–241 (2015). https://doi.org/10.1177/0266242614549779Hessels, J., Van Gelderen, M., Thurik, R.: Entrepreneurial aspirations, motivations, and their drivers”. Small Bus. Econ. 31(3), 323–339 (2008). https://doi.org/10.1007/s11187-008-9134-xIezzi, D.F., Deriu, F.: Women active citizenship and wellbeing: the Italian case. Qual. Quant. 48(2), 845–862 (2014)Jansson, T.: Housing choices and labor income risk. J. Urban Econ. 99, 107–119 (2017). https://doi.org/10.1016/j.jue.2016.12.006Johansen, V., Foss, L.: The effects of entrepreneurship education—does gender matter? Int. J. Entrep. Small Bus. 20(3), 255–271 (2013). https://doi.org/10.1504/IJESB.2013.056889Judge, W.Q., Hu, H.W., Gabrielsson, J., Talaulicar, T., Witt, M.A., Zattoni, A., Kibler, B.: Configurations of capacity for change in entrepreneurial threshold firms: imprinting and strategic choice perspectives. J. Manag. Stud. 52(4), 506–530 (2015). https://doi.org/10.1111/joms.12121Kautonen, T., Kibler, E., Minniti, M.: Late-career entrepreneurship, income and quality of life. J. Bus. Ventur. 32(3), 318–333 (2017). https://doi.org/10.1016/j.jbusvent.2017.02.005Kephart, P., Schumacher, L.: Has the “glass ceiling” cracked? An exploration of women entrepreneurship. J. Leadersh. Organ. Stud. 12(1), 2–15 (2005). https://doi.org/10.1177/107179190501200102Kirkwood, J.: Motivational factors in a push–pull theory of entrepreneurship. Gend. Manag. Int. J. 24(5), 346–364 (2009). https://doi.org/10.1108/17542410910968805Kobeissi, N.: Gender factors and female entrepreneurship: International evidence and policy implications. J. Int. Entrep. 8, 1–35 (2010). Retrieved from https://doi.org/10.1007/s10843-010-0045-yKuckertz, A., Berger, E.S.C., Allmendinger, M.P.: What drives entrepreneurship? A configurational analysis of the determinants of entrepreneurship in innovation-driven economies. Die Betriebswirtschaft/Bus. Adm. Rev. 75(4), 273–288 (2015). https://doi.org/10.1017/cbo9781107415324.004La Placa, V., McNaught, A., Knight, A.: Discourse on wellbeing in research and practice. Int. J. Wellbeing 3, 116–125 (2013). https://doi.org/10.5502/ijw.v3i1.7Langowitz, N., Minniti, M.: The entrepreneurial propensity of women. Entrep. Theory Pract. 31(3), 341–364 (2007). https://doi.org/10.1111/j.1540-6520.2007.00177.xLee, S.S.Y.: Examining policy configurations as conditions for long-term unemployment and non-standard employment in OECD countries using fuzzy-set analysis. Qual. Quant. 47(6), 3521–3536 (2013)Leffler, E., Svedberg, G.: Enterprise learning: a challenge to education? Eur. Educ. Res. J. 4(3), 219–227 (2005)Levie, J., Autio, E.: A theoretical grounding and test of the GEM model. Small Bus. Econ. 31(3), 235–263 (2008). https://doi.org/10.1007/s11187-008-9136-8Maccagnan, A., Wren-Lewis, S., Brown, H., Taylor, T.: Wellbeing and society: towards quantification of the co-benefits of wellbeing. Soc. Indic. Res. 1–27 (2018)Mandl, C., Berger, E.S.C., Kuckertz, A.: Do you plead guilty? Exploring entrepreneurs’ sensemaking-behavior link after business failure. J. Bus. Ventur. Insights 5, 9–13 (2016). https://doi.org/10.1016/j.jbvi.2015.12.002Martin, B.C., McNally, J.J., Kay, M.J.: Examining the formation of human capital in entrepreneurship: a meta-analysis of entrepreneurship education outcomes. J. Bus. Ventur. 28(2), 211–224 (2013). https://doi.org/10.1016/j.jbusvent.2012.03.002McClelland, E., Swail, J., Bell, J., Ibbotson, P.: Following the pathway of female entrepreneurs. Int. J. Entrep. Behav. Res. 11(2), 84–107 (2005). https://doi.org/10.1108/13552550510590527MillĂĄn, J.M., Hessels, J., Thurik, R., Aguado, R.: Determinants of job satisfaction: a European comparison of self-employed and paid employees. Small Bus. Econ. 40(3), 651–670 (2013). https://doi.org/10.1007/s11187-011-9380-1Minniti, M., Nardone, C.: Being in someone else’s shoes: the role of gender in nascent entrepreneurship. Small Bus. Econ. 28(2–3), 223–238 (2007). https://doi.org/10.1007/s11187-006-9017-yMishra, V., Nielsen, I., Smyth, R.: How does relative income and variations in short-run wellbeing affect wellbeing in the long run? Empirical evidence from China’s Korean minority. Soc. Indic. Res. 115(1), 67–91 (2014)Murias, P., Martinez, F., de Miguel, C.: An economic wellbeing index for the Spanish provinces: a data envelopment analysis approach. Soc. Indic. Res. 77(3), 395–417 (2006). https://doi.org/10.1007/s11205-005-2613-4NaudĂ©, W., AmorĂłs, J.E., Cisti, O.: Surfeiting, the appetite may sticken: entrepreneurship and happiness. Small Bus. Econ. 42(3), 523–540 (2014)Ng, T.W.H., Feldman, D.C.: Re-examining the relationship between age and voluntary turnover. J. Vocat. Behav. 74(3), 283–294 (2009). https://doi.org/10.1016/j.jvb.2009.01.004O’Connor, A.: A conceptual framework for entrepreneurship education policy: meeting government and economic purposes. J. Bus. Ventur. 28(4), 546–563 (2013). https://doi.org/10.1016/j.jbusvent.2012.07.003Organisation for Economic Co-operation and Development (OECD): OECD guidelines on measuring subjective well-being (2013)Organization for Economic Cooperation and Development: How’s Life? Measuring Wellbeing (2015). http://www.oecdbetterlifeindex.org . Accessed 28 May 2017Orlova, L.V., Sakhabieva, G.A., Vasyaycheva, V.A., Pronina, N.N.: Impact of educational attainment on the development of female entrepreneurship in Kazakhstan. Indian J. Sci. Technol. (2016). https://doi.org/10.17485/ijst/2016/v9i11/89427Osberg, L., Sharpe, A.: An index of economic wellbeing for selected OECD countries. Rev. Income Wealth 5(3), 291–316 (2002). https://doi.org/10.1111/1475-4991.00056Osberg, L., Sharpe, A.: New Estimates of the Index of Economic Wellbeing for Selected OECD Countries, 1980–2007. Centre for the Study of Living Standards, Ottawa (2009)Parasuraman, S., Purohit, Y.S., Godshalk, V.M., Beutell, N.J.: Work and family variables, entrepreneurial career success, and psychological wellbeing. J. Vocat. Behav. 48(3), 275–300 (1996). https://doi.org/10.1006/jvbe.1996.0025Parasuraman, S., & Simmers, C.A.: Type of employment, work–family conflict and well-being: a comparative study. J. Organ. Behav.: Int. J Ind., Occup. Organ. Psychol. Behav. 22(5), 551–568 (2001)Patrick, C., Stephens, H., Weinstein, A.: Where are all the self-employed women? Push and pull factors influencing female labor market decisions. Small Bus. Econ. 46(3), 365–390 (2016). https://doi.org/10.1007/s11187-015-9697-2Poggesi, S., Mari, M., De Vita, L.: What’s new in female entrepreneurship research? Answers from the literature. Int. Entrep. Manag. J. 12(3), 735–764 (2015). https://doi.org/10.1007/s11365-015-0364-5Ragin, C.: The Comparative Method: Moving Beyond Qualitative and Quantitative Strategies. University of California Press, Berkeley (1987)Ragin, C.C.: New directions in comparative research. In: Kohn, M.L. (ed.) Cross-National Research in Sociology, pp. 57–76. Sage, Newbury Park (1989)Ragin, C.C.: Fuzzy-Set Social Science. University of Chicago Press, Chicago (2000)Ragin, Charles C., Sonnett, J.: Between complexity and parsimony: limited diversity, counterfactual cases, and comparative analysis. In: Ragin, Charles C. (ed.) Redesigning Social Inquiry. University of Chicago Press, Chicago (2004)Ragin, C.C.: Redesigning Social Inquiry: Fuzzy Sets and Beyond, vol. 240. University of Chicago Pres, Chicago (2008)Rahman, S.A., Amran, A., Ahmad, N.H., Taghizadeh, S.K.: Enhancing the wellbeing of base of the pyramid entrepreneurs through business success: the role of private organizations. Soc. Indic. Res. 127(1), 195–216 (2016). https://doi.org/10.1007/s11205-015-0951-4Renee Baptiste, N.: Tightening the link between employee wellbeing at work and performance. Manag. Decis. 46(2), 284–309 (2008). https://doi.org/10.1108/00251740810854168Rey-MartĂ­, A., Tur Porcar, A., Mas-Tur, A.: Linking female entrepreneurs’ motivation to business survival. J. Bus. Res. 68(4), 810–814 (2015). https://doi.org/10.1016/j.jbusres.2014.11.033Reynolds, P.D., Bygrave, W.D., Autio, E., Cox, L.W., Hay, M.: Global entrepreneurship monitor, 2002 executive report. London (2002)Ribes-Giner, G., Moya-Clemente, I., CervellĂł-Royo, R., Perello-Marin, M.R.: Domestic economic and social conditions empowering female entrepreneurship. J. Bus. Res. 89, 182–189 (2018)Ruth Eikhof, D., Summers, J., Carter, S., Eikhof, D.R., Summers, J., Carter, S.: Women doing their own thing: media representations of female entrepreneurship. Int. J. Entrep. Behav. Res. 19(5), 547–564 (2013). https://doi.org/10.1108/IJEBR-09-2011-0107Sampedro Gallego, R., Camarero Rioja, L.: Female entrepreneurs in rural Spain—the failed subject of development. Rev. Int. Sociol. 65(48), 121–146 (2007)Saridakis, G., Marlow, S., Storey, D.J.: Do different factors explain male and female self-employment rates? J. Bus. Ventur. 29(3), 345–362 (2014). https://doi.org/10.1016/j.jbusvent.2013.04.004Shepherd, D.A., Douglas, E.J., Shanley, M.: New venture survival: ignorance, external shocks, and risk reduction strategies. J. Bus. Ventur. 15(5), 393–410 (2000). https://doi.org/10.1016/S0883-9026(98)00008-1Shepherd, D., Haynie, J.M.: Birds of a feather don’t always flock together: identity management in entrepreneurship. J. Bus. Ventur. 24(4), 316–337 (2009). https://doi.org/10.1016/j.jbusvent.2007.10.005Shinnar, R.S., Hsu, D.K., Powell, B.C.: Self-efficacy, entrepreneurial intentions, and gender: assessing the impact of entrepreneurship education longitudinally. Int. J. Manag. Educ. 12(3), 561–570 (2014). https://doi.org/10.1016/j.ijme.2014.09.005Shir, N.: Entrepreneurial Wellbeing: The Payoff Structure of Business Creation. Stockholm School of Economics, Stockholm (2015)Thiem, A., Dusa, A.: QCA: a package for qualitative comparative analysis. R package version 2.0. R J. 5, 87–97 (2013). Retrieved from https://cran.r-project.org/web/packages/QCA/index.htmlTorri, M.M.C., Martinez, A.: Women’s empowerment and micro-entrepreneurship in India: constructing a new development paradigm? Prog. Dev. Stud. 14(1), 31–48 (2014). https://doi.org/10.1177/1464993413504347Tur-Porcar, A., Mas-Tur, A., Belso, J.A.: Barriers to women entrepreneurship. Different methods, different results? Qual. Quant. 51(5), 2019–2034 (2017)Uy, M.A., Foo, M.Der, Song, Z.: Joint effects of prior start-up experience and coping strategies on entrepreneurs’ psychological wellbeing. J. Bus. Ventur. 28(5), 583–597 (2013). https://doi.org/10.1016/j.jbusvent.2012.04.003Uy, M.A., Sun, S., Foo, M.Der: Affect spin, entrepreneurs’ wellbeing, and venture goal progress: the moderating role of goal orientation. J. Bus. Ventur. 32(4), 443–460 (2017). https://doi.org/10.1016/j.jbusvent.2016.12.001Van der Sluis, J., Van Praag, M., Vijverberg, W.: Education and entrepreneurship selection and performance: a review of empirical literature. J. Econ. Surv. 22(5), 795–841 (2008)Verheul, I., Stel, A.Van, Thurik, R.: Explaining female and male entrepreneurship at the country level. Entrep. Reg. Dev. 18(2), 151–183 (2006). https://doi.org/10.1080/08985620500532053Witbooi, M., Ukpere, W.: Indigenous female entrepreneurship: analytical study on access to finance for women entrepreneurs in South Africa. Afr. J. Bus. Manag. 5(14), 5646–5657 (2011)Woodside, A.G., Bernal, P.M., Coduras, A.: The general theory of culture, entrepreneurship, innovation, and quality-of-life: comparing nurturing versus thwarting enterprise start-ups in BRIC, Denmark, Germany, and the United States. Ind. Mark. Manag. (2015). https://doi.org/10.1016/j.indmarman.2015.11.00

    Dissecting the Shared Genetic Architecture of Suicide Attempt, Psychiatric Disorders, and Known Risk Factors

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    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
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