Relationship between Health-Anxiety and Cyberchondria: Role of Metacognitive Beliefs
Purpose: The current study was designed to examine the relationship between health anxiety, cyberchondria (its constructs), and metacognitive beliefs. In addition, it also evaluated the moderating role of metacognitive beliefs in this relationship. Design and Method: The present study used the purpo...
Ausführliche Beschreibung
Autor*in: |
Faiza Nadeem [verfasserIn] Najma Iqbal Malik [verfasserIn] Mohsin Atta [verfasserIn] Irfan Ullah [verfasserIn] Giovanni Martinotti [verfasserIn] Mauro Pettorruso [verfasserIn] Federica Vellante [verfasserIn] Massimo Di Giannantonio [verfasserIn] Domenico De Berardis [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
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2022 |
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In: Journal of Clinical Medicine - MDPI AG, 2013, 11(2022), 9, p 2590 |
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Übergeordnetes Werk: |
volume:11 ; year:2022 ; number:9, p 2590 |
Links: |
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DOI / URN: |
10.3390/jcm11092590 |
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Katalog-ID: |
DOAJ029236649 |
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10.3390/jcm11092590 doi (DE-627)DOAJ029236649 (DE-599)DOAJ286aa35c21864b35b10c0be855bc045f DE-627 ger DE-627 rakwb eng Faiza Nadeem verfasserin aut Relationship between Health-Anxiety and Cyberchondria: Role of Metacognitive Beliefs 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose: The current study was designed to examine the relationship between health anxiety, cyberchondria (its constructs), and metacognitive beliefs. In addition, it also evaluated the moderating role of metacognitive beliefs in this relationship. Design and Method: The present study used the purposive sampling technique to acquire a sample of (<i<N</i< = 500) adults, among them (<i<N</i< = 256) women and (<i<N</i< = 244) men, and the age of the sample ranged from 20 to 50 years. Short Health Anxiety Inventory, Cyberchondria Severity Scale, and Metacognitions Questionnaire–Health Anxiety were used to operationalize the present study variables. Findings: The descriptive statistics revealed that all instruments have good psychometric properties, as Cronbach’s alpha coefficients for all scales are ≥0.70. In addition to this, the Pearson correlation showed that all variables of the present study have a significant positive correlation with each other. Furthermore, the regression analysis described that health anxiety and metacognitive beliefs (biased thinking and beliefs about uncontrollable thoughts) were the significant positive predictors of cyberchondria. Moreover, moderation analysis showed that metacognitive beliefs significantly strengthened the association between health anxiety and cyberchondria and its constructs. Practical Implications: The present study will help medical practitioners to understand how metacognitive beliefs and health anxiety can cause an increase in cyberchondria. This will help them to design better treatment plans for people with cyberchondria. health anxiety cyberchondria metacognitive beliefs Medicine R Najma Iqbal Malik verfasserin aut Mohsin Atta verfasserin aut Irfan Ullah verfasserin aut Giovanni Martinotti verfasserin aut Mauro Pettorruso verfasserin aut Federica Vellante verfasserin aut Massimo Di Giannantonio verfasserin aut Domenico De Berardis verfasserin aut In Journal of Clinical Medicine MDPI AG, 2013 11(2022), 9, p 2590 (DE-627)718632478 (DE-600)2662592-1 20770383 nnns volume:11 year:2022 number:9, p 2590 https://doi.org/10.3390/jcm11092590 kostenfrei https://doaj.org/article/286aa35c21864b35b10c0be855bc045f kostenfrei https://www.mdpi.com/2077-0383/11/9/2590 kostenfrei https://doaj.org/toc/2077-0383 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2022 9, p 2590 |
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10.3390/jcm11092590 doi (DE-627)DOAJ029236649 (DE-599)DOAJ286aa35c21864b35b10c0be855bc045f DE-627 ger DE-627 rakwb eng Faiza Nadeem verfasserin aut Relationship between Health-Anxiety and Cyberchondria: Role of Metacognitive Beliefs 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose: The current study was designed to examine the relationship between health anxiety, cyberchondria (its constructs), and metacognitive beliefs. In addition, it also evaluated the moderating role of metacognitive beliefs in this relationship. Design and Method: The present study used the purposive sampling technique to acquire a sample of (<i<N</i< = 500) adults, among them (<i<N</i< = 256) women and (<i<N</i< = 244) men, and the age of the sample ranged from 20 to 50 years. Short Health Anxiety Inventory, Cyberchondria Severity Scale, and Metacognitions Questionnaire–Health Anxiety were used to operationalize the present study variables. Findings: The descriptive statistics revealed that all instruments have good psychometric properties, as Cronbach’s alpha coefficients for all scales are ≥0.70. In addition to this, the Pearson correlation showed that all variables of the present study have a significant positive correlation with each other. Furthermore, the regression analysis described that health anxiety and metacognitive beliefs (biased thinking and beliefs about uncontrollable thoughts) were the significant positive predictors of cyberchondria. Moreover, moderation analysis showed that metacognitive beliefs significantly strengthened the association between health anxiety and cyberchondria and its constructs. Practical Implications: The present study will help medical practitioners to understand how metacognitive beliefs and health anxiety can cause an increase in cyberchondria. This will help them to design better treatment plans for people with cyberchondria. health anxiety cyberchondria metacognitive beliefs Medicine R Najma Iqbal Malik verfasserin aut Mohsin Atta verfasserin aut Irfan Ullah verfasserin aut Giovanni Martinotti verfasserin aut Mauro Pettorruso verfasserin aut Federica Vellante verfasserin aut Massimo Di Giannantonio verfasserin aut Domenico De Berardis verfasserin aut In Journal of Clinical Medicine MDPI AG, 2013 11(2022), 9, p 2590 (DE-627)718632478 (DE-600)2662592-1 20770383 nnns volume:11 year:2022 number:9, p 2590 https://doi.org/10.3390/jcm11092590 kostenfrei https://doaj.org/article/286aa35c21864b35b10c0be855bc045f kostenfrei https://www.mdpi.com/2077-0383/11/9/2590 kostenfrei https://doaj.org/toc/2077-0383 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2022 9, p 2590 |
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10.3390/jcm11092590 doi (DE-627)DOAJ029236649 (DE-599)DOAJ286aa35c21864b35b10c0be855bc045f DE-627 ger DE-627 rakwb eng Faiza Nadeem verfasserin aut Relationship between Health-Anxiety and Cyberchondria: Role of Metacognitive Beliefs 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose: The current study was designed to examine the relationship between health anxiety, cyberchondria (its constructs), and metacognitive beliefs. In addition, it also evaluated the moderating role of metacognitive beliefs in this relationship. Design and Method: The present study used the purposive sampling technique to acquire a sample of (<i<N</i< = 500) adults, among them (<i<N</i< = 256) women and (<i<N</i< = 244) men, and the age of the sample ranged from 20 to 50 years. Short Health Anxiety Inventory, Cyberchondria Severity Scale, and Metacognitions Questionnaire–Health Anxiety were used to operationalize the present study variables. Findings: The descriptive statistics revealed that all instruments have good psychometric properties, as Cronbach’s alpha coefficients for all scales are ≥0.70. In addition to this, the Pearson correlation showed that all variables of the present study have a significant positive correlation with each other. Furthermore, the regression analysis described that health anxiety and metacognitive beliefs (biased thinking and beliefs about uncontrollable thoughts) were the significant positive predictors of cyberchondria. Moreover, moderation analysis showed that metacognitive beliefs significantly strengthened the association between health anxiety and cyberchondria and its constructs. Practical Implications: The present study will help medical practitioners to understand how metacognitive beliefs and health anxiety can cause an increase in cyberchondria. This will help them to design better treatment plans for people with cyberchondria. health anxiety cyberchondria metacognitive beliefs Medicine R Najma Iqbal Malik verfasserin aut Mohsin Atta verfasserin aut Irfan Ullah verfasserin aut Giovanni Martinotti verfasserin aut Mauro Pettorruso verfasserin aut Federica Vellante verfasserin aut Massimo Di Giannantonio verfasserin aut Domenico De Berardis verfasserin aut In Journal of Clinical Medicine MDPI AG, 2013 11(2022), 9, p 2590 (DE-627)718632478 (DE-600)2662592-1 20770383 nnns volume:11 year:2022 number:9, p 2590 https://doi.org/10.3390/jcm11092590 kostenfrei https://doaj.org/article/286aa35c21864b35b10c0be855bc045f kostenfrei https://www.mdpi.com/2077-0383/11/9/2590 kostenfrei https://doaj.org/toc/2077-0383 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2022 9, p 2590 |
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10.3390/jcm11092590 doi (DE-627)DOAJ029236649 (DE-599)DOAJ286aa35c21864b35b10c0be855bc045f DE-627 ger DE-627 rakwb eng Faiza Nadeem verfasserin aut Relationship between Health-Anxiety and Cyberchondria: Role of Metacognitive Beliefs 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose: The current study was designed to examine the relationship between health anxiety, cyberchondria (its constructs), and metacognitive beliefs. In addition, it also evaluated the moderating role of metacognitive beliefs in this relationship. Design and Method: The present study used the purposive sampling technique to acquire a sample of (<i<N</i< = 500) adults, among them (<i<N</i< = 256) women and (<i<N</i< = 244) men, and the age of the sample ranged from 20 to 50 years. Short Health Anxiety Inventory, Cyberchondria Severity Scale, and Metacognitions Questionnaire–Health Anxiety were used to operationalize the present study variables. Findings: The descriptive statistics revealed that all instruments have good psychometric properties, as Cronbach’s alpha coefficients for all scales are ≥0.70. In addition to this, the Pearson correlation showed that all variables of the present study have a significant positive correlation with each other. Furthermore, the regression analysis described that health anxiety and metacognitive beliefs (biased thinking and beliefs about uncontrollable thoughts) were the significant positive predictors of cyberchondria. Moreover, moderation analysis showed that metacognitive beliefs significantly strengthened the association between health anxiety and cyberchondria and its constructs. Practical Implications: The present study will help medical practitioners to understand how metacognitive beliefs and health anxiety can cause an increase in cyberchondria. This will help them to design better treatment plans for people with cyberchondria. health anxiety cyberchondria metacognitive beliefs Medicine R Najma Iqbal Malik verfasserin aut Mohsin Atta verfasserin aut Irfan Ullah verfasserin aut Giovanni Martinotti verfasserin aut Mauro Pettorruso verfasserin aut Federica Vellante verfasserin aut Massimo Di Giannantonio verfasserin aut Domenico De Berardis verfasserin aut In Journal of Clinical Medicine MDPI AG, 2013 11(2022), 9, p 2590 (DE-627)718632478 (DE-600)2662592-1 20770383 nnns volume:11 year:2022 number:9, p 2590 https://doi.org/10.3390/jcm11092590 kostenfrei https://doaj.org/article/286aa35c21864b35b10c0be855bc045f kostenfrei https://www.mdpi.com/2077-0383/11/9/2590 kostenfrei https://doaj.org/toc/2077-0383 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2022 9, p 2590 |
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10.3390/jcm11092590 doi (DE-627)DOAJ029236649 (DE-599)DOAJ286aa35c21864b35b10c0be855bc045f DE-627 ger DE-627 rakwb eng Faiza Nadeem verfasserin aut Relationship between Health-Anxiety and Cyberchondria: Role of Metacognitive Beliefs 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose: The current study was designed to examine the relationship between health anxiety, cyberchondria (its constructs), and metacognitive beliefs. In addition, it also evaluated the moderating role of metacognitive beliefs in this relationship. Design and Method: The present study used the purposive sampling technique to acquire a sample of (<i<N</i< = 500) adults, among them (<i<N</i< = 256) women and (<i<N</i< = 244) men, and the age of the sample ranged from 20 to 50 years. Short Health Anxiety Inventory, Cyberchondria Severity Scale, and Metacognitions Questionnaire–Health Anxiety were used to operationalize the present study variables. Findings: The descriptive statistics revealed that all instruments have good psychometric properties, as Cronbach’s alpha coefficients for all scales are ≥0.70. In addition to this, the Pearson correlation showed that all variables of the present study have a significant positive correlation with each other. Furthermore, the regression analysis described that health anxiety and metacognitive beliefs (biased thinking and beliefs about uncontrollable thoughts) were the significant positive predictors of cyberchondria. Moreover, moderation analysis showed that metacognitive beliefs significantly strengthened the association between health anxiety and cyberchondria and its constructs. Practical Implications: The present study will help medical practitioners to understand how metacognitive beliefs and health anxiety can cause an increase in cyberchondria. This will help them to design better treatment plans for people with cyberchondria. health anxiety cyberchondria metacognitive beliefs Medicine R Najma Iqbal Malik verfasserin aut Mohsin Atta verfasserin aut Irfan Ullah verfasserin aut Giovanni Martinotti verfasserin aut Mauro Pettorruso verfasserin aut Federica Vellante verfasserin aut Massimo Di Giannantonio verfasserin aut Domenico De Berardis verfasserin aut In Journal of Clinical Medicine MDPI AG, 2013 11(2022), 9, p 2590 (DE-627)718632478 (DE-600)2662592-1 20770383 nnns volume:11 year:2022 number:9, p 2590 https://doi.org/10.3390/jcm11092590 kostenfrei https://doaj.org/article/286aa35c21864b35b10c0be855bc045f kostenfrei https://www.mdpi.com/2077-0383/11/9/2590 kostenfrei https://doaj.org/toc/2077-0383 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2022 9, p 2590 |
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Relationship between Health-Anxiety and Cyberchondria: Role of Metacognitive Beliefs |
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Purpose: The current study was designed to examine the relationship between health anxiety, cyberchondria (its constructs), and metacognitive beliefs. In addition, it also evaluated the moderating role of metacognitive beliefs in this relationship. Design and Method: The present study used the purposive sampling technique to acquire a sample of (<i<N</i< = 500) adults, among them (<i<N</i< = 256) women and (<i<N</i< = 244) men, and the age of the sample ranged from 20 to 50 years. Short Health Anxiety Inventory, Cyberchondria Severity Scale, and Metacognitions Questionnaire–Health Anxiety were used to operationalize the present study variables. Findings: The descriptive statistics revealed that all instruments have good psychometric properties, as Cronbach’s alpha coefficients for all scales are ≥0.70. In addition to this, the Pearson correlation showed that all variables of the present study have a significant positive correlation with each other. Furthermore, the regression analysis described that health anxiety and metacognitive beliefs (biased thinking and beliefs about uncontrollable thoughts) were the significant positive predictors of cyberchondria. Moreover, moderation analysis showed that metacognitive beliefs significantly strengthened the association between health anxiety and cyberchondria and its constructs. Practical Implications: The present study will help medical practitioners to understand how metacognitive beliefs and health anxiety can cause an increase in cyberchondria. This will help them to design better treatment plans for people with cyberchondria. |
abstractGer |
Purpose: The current study was designed to examine the relationship between health anxiety, cyberchondria (its constructs), and metacognitive beliefs. In addition, it also evaluated the moderating role of metacognitive beliefs in this relationship. Design and Method: The present study used the purposive sampling technique to acquire a sample of (<i<N</i< = 500) adults, among them (<i<N</i< = 256) women and (<i<N</i< = 244) men, and the age of the sample ranged from 20 to 50 years. Short Health Anxiety Inventory, Cyberchondria Severity Scale, and Metacognitions Questionnaire–Health Anxiety were used to operationalize the present study variables. Findings: The descriptive statistics revealed that all instruments have good psychometric properties, as Cronbach’s alpha coefficients for all scales are ≥0.70. In addition to this, the Pearson correlation showed that all variables of the present study have a significant positive correlation with each other. Furthermore, the regression analysis described that health anxiety and metacognitive beliefs (biased thinking and beliefs about uncontrollable thoughts) were the significant positive predictors of cyberchondria. Moreover, moderation analysis showed that metacognitive beliefs significantly strengthened the association between health anxiety and cyberchondria and its constructs. Practical Implications: The present study will help medical practitioners to understand how metacognitive beliefs and health anxiety can cause an increase in cyberchondria. This will help them to design better treatment plans for people with cyberchondria. |
abstract_unstemmed |
Purpose: The current study was designed to examine the relationship between health anxiety, cyberchondria (its constructs), and metacognitive beliefs. In addition, it also evaluated the moderating role of metacognitive beliefs in this relationship. Design and Method: The present study used the purposive sampling technique to acquire a sample of (<i<N</i< = 500) adults, among them (<i<N</i< = 256) women and (<i<N</i< = 244) men, and the age of the sample ranged from 20 to 50 years. Short Health Anxiety Inventory, Cyberchondria Severity Scale, and Metacognitions Questionnaire–Health Anxiety were used to operationalize the present study variables. Findings: The descriptive statistics revealed that all instruments have good psychometric properties, as Cronbach’s alpha coefficients for all scales are ≥0.70. In addition to this, the Pearson correlation showed that all variables of the present study have a significant positive correlation with each other. Furthermore, the regression analysis described that health anxiety and metacognitive beliefs (biased thinking and beliefs about uncontrollable thoughts) were the significant positive predictors of cyberchondria. Moreover, moderation analysis showed that metacognitive beliefs significantly strengthened the association between health anxiety and cyberchondria and its constructs. Practical Implications: The present study will help medical practitioners to understand how metacognitive beliefs and health anxiety can cause an increase in cyberchondria. This will help them to design better treatment plans for people with cyberchondria. |
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