Magnitude of psychiatric comorbidity in patients with obesity in Northern Indian population

Background and aims: To determine the prevalence of different psychiatric comorbidities in patients with obesity and study their relationship with the degrees of obesity.Methods: This cross-sectional study included 151 patients with a BMI≥25 kg/m2. Subjects with diagnosed psychiatric illness, type 2...
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Autor*in:	Yoosuf, Shakira [verfasserIn] Gupta, Gaurav [verfasserIn] Bhargava, Rachna [verfasserIn] Kumar, Nand [verfasserIn] Ranjan, Piyush [verfasserIn] Pandey, Ravindra M. [verfasserIn] Pandey, Shivam [verfasserIn] Vikram, Naval K. [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	Obesity Psychiatric disorders Quality of life Asian indians

Übergeordnetes Werk:	Enthalten in: Diabetes & metabolic syndrome - Amsterdam [u.a.] : Elsevier, 2007, 15
Übergeordnetes Werk:	volume:15

DOI / URN:	10.1016/j.dsx.2021.102270

Katalog-ID:	ELV006666051

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245	1	0	\|a Magnitude of psychiatric comorbidity in patients with obesity in Northern Indian population
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520			\|a Background and aims: To determine the prevalence of different psychiatric comorbidities in patients with obesity and study their relationship with the degrees of obesity.Methods: This cross-sectional study included 151 patients with a BMI≥25 kg/m2. Subjects with diagnosed psychiatric illness, type 2 diabetes mellitus, coronary artery disease or any neurological illness were excluded. Prevalence of psychiatric comorbidities was assessed by MINI screening tool for all major axis 1 disorders including anxiety, eating and mood disorders. The WHOQOL-BREF was used for assessment of well-being, in the four domains, physical, psychological, social and environmental.Results: Females constituted 68.6% of the study population. Lifetime diagnosis of any psychiatric illness was present in 24%, higher in females than males [31% vs 9%, p = 0.003]. The WHOQOL-BREF average scores of psychological, physical and environmental domains were significantly lower (p < 0.001) in patients diagnosed with depression as compared to those without. The WHOQOL-BREF average score of only the physical domain were significantly lower in individuals with BMI ≥30 kg/m2 as compared to those with BMI <30 kg/m2.Conclusions: The burden of undiagnosed psychiatric comorbidity in patients with obesity decreases the quality of life. There is need to screen for psychiatric comorbidities for effective management of obesity.
650		4	\|a Obesity
650		4	\|a Psychiatric disorders
650		4	\|a Quality of life
650		4	\|a Asian indians
700	1		\|a Gupta, Gaurav \|e verfasserin \|0 (orcid)0000-0003-2844-3287 \|4 aut
700	1		\|a Bhargava, Rachna \|e verfasserin \|4 aut
700	1		\|a Kumar, Nand \|e verfasserin \|4 aut
700	1		\|a Ranjan, Piyush \|e verfasserin \|4 aut
700	1		\|a Pandey, Ravindra M. \|e verfasserin \|4 aut
700	1		\|a Pandey, Shivam \|e verfasserin \|4 aut
700	1		\|a Vikram, Naval K. \|e verfasserin \|0 (orcid)0000-0002-6202-576X \|4 aut
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912			\|a GBV_ILN_4393
936	b	k	\|a 44.89 \|j Endokrinologie
951			\|a AR
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allfields	10.1016/j.dsx.2021.102270 doi (DE-627)ELV006666051 (ELSEVIER)S1871-4021(21)00290-3 DE-627 ger DE-627 rda eng 610 DE-600 44.89 bkl Yoosuf, Shakira verfasserin (orcid)0000-0002-8779-7694 aut Magnitude of psychiatric comorbidity in patients with obesity in Northern Indian population 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background and aims: To determine the prevalence of different psychiatric comorbidities in patients with obesity and study their relationship with the degrees of obesity.Methods: This cross-sectional study included 151 patients with a BMI≥25 kg/m2. Subjects with diagnosed psychiatric illness, type 2 diabetes mellitus, coronary artery disease or any neurological illness were excluded. Prevalence of psychiatric comorbidities was assessed by MINI screening tool for all major axis 1 disorders including anxiety, eating and mood disorders. The WHOQOL-BREF was used for assessment of well-being, in the four domains, physical, psychological, social and environmental.Results: Females constituted 68.6% of the study population. Lifetime diagnosis of any psychiatric illness was present in 24%, higher in females than males [31% vs 9%, p = 0.003]. The WHOQOL-BREF average scores of psychological, physical and environmental domains were significantly lower (p < 0.001) in patients diagnosed with depression as compared to those without. The WHOQOL-BREF average score of only the physical domain were significantly lower in individuals with BMI ≥30 kg/m2 as compared to those with BMI <30 kg/m2.Conclusions: The burden of undiagnosed psychiatric comorbidity in patients with obesity decreases the quality of life. There is need to screen for psychiatric comorbidities for effective management of obesity. Obesity Psychiatric disorders Quality of life Asian indians Gupta, Gaurav verfasserin (orcid)0000-0003-2844-3287 aut Bhargava, Rachna verfasserin aut Kumar, Nand verfasserin aut Ranjan, Piyush verfasserin aut Pandey, Ravindra M. verfasserin aut Pandey, Shivam verfasserin aut Vikram, Naval K. verfasserin (orcid)0000-0002-6202-576X aut Enthalten in Diabetes & metabolic syndrome Amsterdam [u.a.] : Elsevier, 2007 15 Online-Ressource (DE-627)525874976 (DE-600)2273766-2 (DE-576)267763328 1878-0334 nnns volume:15 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 44.89 Endokrinologie AR 15
spelling	10.1016/j.dsx.2021.102270 doi (DE-627)ELV006666051 (ELSEVIER)S1871-4021(21)00290-3 DE-627 ger DE-627 rda eng 610 DE-600 44.89 bkl Yoosuf, Shakira verfasserin (orcid)0000-0002-8779-7694 aut Magnitude of psychiatric comorbidity in patients with obesity in Northern Indian population 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background and aims: To determine the prevalence of different psychiatric comorbidities in patients with obesity and study their relationship with the degrees of obesity.Methods: This cross-sectional study included 151 patients with a BMI≥25 kg/m2. Subjects with diagnosed psychiatric illness, type 2 diabetes mellitus, coronary artery disease or any neurological illness were excluded. Prevalence of psychiatric comorbidities was assessed by MINI screening tool for all major axis 1 disorders including anxiety, eating and mood disorders. The WHOQOL-BREF was used for assessment of well-being, in the four domains, physical, psychological, social and environmental.Results: Females constituted 68.6% of the study population. Lifetime diagnosis of any psychiatric illness was present in 24%, higher in females than males [31% vs 9%, p = 0.003]. The WHOQOL-BREF average scores of psychological, physical and environmental domains were significantly lower (p < 0.001) in patients diagnosed with depression as compared to those without. The WHOQOL-BREF average score of only the physical domain were significantly lower in individuals with BMI ≥30 kg/m2 as compared to those with BMI <30 kg/m2.Conclusions: The burden of undiagnosed psychiatric comorbidity in patients with obesity decreases the quality of life. There is need to screen for psychiatric comorbidities for effective management of obesity. Obesity Psychiatric disorders Quality of life Asian indians Gupta, Gaurav verfasserin (orcid)0000-0003-2844-3287 aut Bhargava, Rachna verfasserin aut Kumar, Nand verfasserin aut Ranjan, Piyush verfasserin aut Pandey, Ravindra M. verfasserin aut Pandey, Shivam verfasserin aut Vikram, Naval K. verfasserin (orcid)0000-0002-6202-576X aut Enthalten in Diabetes & metabolic syndrome Amsterdam [u.a.] : Elsevier, 2007 15 Online-Ressource (DE-627)525874976 (DE-600)2273766-2 (DE-576)267763328 1878-0334 nnns volume:15 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 44.89 Endokrinologie AR 15
allfields_unstemmed	10.1016/j.dsx.2021.102270 doi (DE-627)ELV006666051 (ELSEVIER)S1871-4021(21)00290-3 DE-627 ger DE-627 rda eng 610 DE-600 44.89 bkl Yoosuf, Shakira verfasserin (orcid)0000-0002-8779-7694 aut Magnitude of psychiatric comorbidity in patients with obesity in Northern Indian population 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background and aims: To determine the prevalence of different psychiatric comorbidities in patients with obesity and study their relationship with the degrees of obesity.Methods: This cross-sectional study included 151 patients with a BMI≥25 kg/m2. Subjects with diagnosed psychiatric illness, type 2 diabetes mellitus, coronary artery disease or any neurological illness were excluded. Prevalence of psychiatric comorbidities was assessed by MINI screening tool for all major axis 1 disorders including anxiety, eating and mood disorders. The WHOQOL-BREF was used for assessment of well-being, in the four domains, physical, psychological, social and environmental.Results: Females constituted 68.6% of the study population. Lifetime diagnosis of any psychiatric illness was present in 24%, higher in females than males [31% vs 9%, p = 0.003]. The WHOQOL-BREF average scores of psychological, physical and environmental domains were significantly lower (p < 0.001) in patients diagnosed with depression as compared to those without. The WHOQOL-BREF average score of only the physical domain were significantly lower in individuals with BMI ≥30 kg/m2 as compared to those with BMI <30 kg/m2.Conclusions: The burden of undiagnosed psychiatric comorbidity in patients with obesity decreases the quality of life. There is need to screen for psychiatric comorbidities for effective management of obesity. Obesity Psychiatric disorders Quality of life Asian indians Gupta, Gaurav verfasserin (orcid)0000-0003-2844-3287 aut Bhargava, Rachna verfasserin aut Kumar, Nand verfasserin aut Ranjan, Piyush verfasserin aut Pandey, Ravindra M. verfasserin aut Pandey, Shivam verfasserin aut Vikram, Naval K. verfasserin (orcid)0000-0002-6202-576X aut Enthalten in Diabetes & metabolic syndrome Amsterdam [u.a.] : Elsevier, 2007 15 Online-Ressource (DE-627)525874976 (DE-600)2273766-2 (DE-576)267763328 1878-0334 nnns volume:15 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 44.89 Endokrinologie AR 15
allfieldsGer	10.1016/j.dsx.2021.102270 doi (DE-627)ELV006666051 (ELSEVIER)S1871-4021(21)00290-3 DE-627 ger DE-627 rda eng 610 DE-600 44.89 bkl Yoosuf, Shakira verfasserin (orcid)0000-0002-8779-7694 aut Magnitude of psychiatric comorbidity in patients with obesity in Northern Indian population 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background and aims: To determine the prevalence of different psychiatric comorbidities in patients with obesity and study their relationship with the degrees of obesity.Methods: This cross-sectional study included 151 patients with a BMI≥25 kg/m2. Subjects with diagnosed psychiatric illness, type 2 diabetes mellitus, coronary artery disease or any neurological illness were excluded. Prevalence of psychiatric comorbidities was assessed by MINI screening tool for all major axis 1 disorders including anxiety, eating and mood disorders. The WHOQOL-BREF was used for assessment of well-being, in the four domains, physical, psychological, social and environmental.Results: Females constituted 68.6% of the study population. Lifetime diagnosis of any psychiatric illness was present in 24%, higher in females than males [31% vs 9%, p = 0.003]. The WHOQOL-BREF average scores of psychological, physical and environmental domains were significantly lower (p < 0.001) in patients diagnosed with depression as compared to those without. The WHOQOL-BREF average score of only the physical domain were significantly lower in individuals with BMI ≥30 kg/m2 as compared to those with BMI <30 kg/m2.Conclusions: The burden of undiagnosed psychiatric comorbidity in patients with obesity decreases the quality of life. There is need to screen for psychiatric comorbidities for effective management of obesity. Obesity Psychiatric disorders Quality of life Asian indians Gupta, Gaurav verfasserin (orcid)0000-0003-2844-3287 aut Bhargava, Rachna verfasserin aut Kumar, Nand verfasserin aut Ranjan, Piyush verfasserin aut Pandey, Ravindra M. verfasserin aut Pandey, Shivam verfasserin aut Vikram, Naval K. verfasserin (orcid)0000-0002-6202-576X aut Enthalten in Diabetes & metabolic syndrome Amsterdam [u.a.] : Elsevier, 2007 15 Online-Ressource (DE-627)525874976 (DE-600)2273766-2 (DE-576)267763328 1878-0334 nnns volume:15 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 44.89 Endokrinologie AR 15
allfieldsSound	10.1016/j.dsx.2021.102270 doi (DE-627)ELV006666051 (ELSEVIER)S1871-4021(21)00290-3 DE-627 ger DE-627 rda eng 610 DE-600 44.89 bkl Yoosuf, Shakira verfasserin (orcid)0000-0002-8779-7694 aut Magnitude of psychiatric comorbidity in patients with obesity in Northern Indian population 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background and aims: To determine the prevalence of different psychiatric comorbidities in patients with obesity and study their relationship with the degrees of obesity.Methods: This cross-sectional study included 151 patients with a BMI≥25 kg/m2. Subjects with diagnosed psychiatric illness, type 2 diabetes mellitus, coronary artery disease or any neurological illness were excluded. Prevalence of psychiatric comorbidities was assessed by MINI screening tool for all major axis 1 disorders including anxiety, eating and mood disorders. The WHOQOL-BREF was used for assessment of well-being, in the four domains, physical, psychological, social and environmental.Results: Females constituted 68.6% of the study population. Lifetime diagnosis of any psychiatric illness was present in 24%, higher in females than males [31% vs 9%, p = 0.003]. The WHOQOL-BREF average scores of psychological, physical and environmental domains were significantly lower (p < 0.001) in patients diagnosed with depression as compared to those without. The WHOQOL-BREF average score of only the physical domain were significantly lower in individuals with BMI ≥30 kg/m2 as compared to those with BMI <30 kg/m2.Conclusions: The burden of undiagnosed psychiatric comorbidity in patients with obesity decreases the quality of life. There is need to screen for psychiatric comorbidities for effective management of obesity. Obesity Psychiatric disorders Quality of life Asian indians Gupta, Gaurav verfasserin (orcid)0000-0003-2844-3287 aut Bhargava, Rachna verfasserin aut Kumar, Nand verfasserin aut Ranjan, Piyush verfasserin aut Pandey, Ravindra M. verfasserin aut Pandey, Shivam verfasserin aut Vikram, Naval K. verfasserin (orcid)0000-0002-6202-576X aut Enthalten in Diabetes & metabolic syndrome Amsterdam [u.a.] : Elsevier, 2007 15 Online-Ressource (DE-627)525874976 (DE-600)2273766-2 (DE-576)267763328 1878-0334 nnns volume:15 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 44.89 Endokrinologie AR 15
language	English
source	Enthalten in Diabetes & metabolic syndrome 15 volume:15
sourceStr	Enthalten in Diabetes & metabolic syndrome 15 volume:15
format_phy_str_mv	Article
bklname	Endokrinologie
institution	findex.gbv.de
topic_facet	Obesity Psychiatric disorders Quality of life Asian indians
dewey-raw	610
isfreeaccess_bool	false
container_title	Diabetes & metabolic syndrome
authorswithroles_txt_mv	Yoosuf, Shakira @@aut@@ Gupta, Gaurav @@aut@@ Bhargava, Rachna @@aut@@ Kumar, Nand @@aut@@ Ranjan, Piyush @@aut@@ Pandey, Ravindra M. @@aut@@ Pandey, Shivam @@aut@@ Vikram, Naval K. @@aut@@
publishDateDaySort_date	2021-01-01T00:00:00Z
hierarchy_top_id	525874976
dewey-sort	3610
id	ELV006666051
language_de	englisch
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Subjects with diagnosed psychiatric illness, type 2 diabetes mellitus, coronary artery disease or any neurological illness were excluded. Prevalence of psychiatric comorbidities was assessed by MINI screening tool for all major axis 1 disorders including anxiety, eating and mood disorders. The WHOQOL-BREF was used for assessment of well-being, in the four domains, physical, psychological, social and environmental.Results: Females constituted 68.6% of the study population. Lifetime diagnosis of any psychiatric illness was present in 24%, higher in females than males [31% vs 9%, p = 0.003]. The WHOQOL-BREF average scores of psychological, physical and environmental domains were significantly lower (p < 0.001) in patients diagnosed with depression as compared to those without. 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author	Yoosuf, Shakira
spellingShingle	Yoosuf, Shakira ddc 610 bkl 44.89 misc Obesity misc Psychiatric disorders misc Quality of life misc Asian indians Magnitude of psychiatric comorbidity in patients with obesity in Northern Indian population
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topic_title	610 DE-600 44.89 bkl Magnitude of psychiatric comorbidity in patients with obesity in Northern Indian population Obesity Psychiatric disorders Quality of life Asian indians
topic	ddc 610 bkl 44.89 misc Obesity misc Psychiatric disorders misc Quality of life misc Asian indians
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title	Magnitude of psychiatric comorbidity in patients with obesity in Northern Indian population
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title_full	Magnitude of psychiatric comorbidity in patients with obesity in Northern Indian population
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author_browse	Yoosuf, Shakira Gupta, Gaurav Bhargava, Rachna Kumar, Nand Ranjan, Piyush Pandey, Ravindra M. Pandey, Shivam Vikram, Naval K.
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title_sort	magnitude of psychiatric comorbidity in patients with obesity in northern indian population
title_auth	Magnitude of psychiatric comorbidity in patients with obesity in Northern Indian population
abstract	Background and aims: To determine the prevalence of different psychiatric comorbidities in patients with obesity and study their relationship with the degrees of obesity.Methods: This cross-sectional study included 151 patients with a BMI≥25 kg/m2. Subjects with diagnosed psychiatric illness, type 2 diabetes mellitus, coronary artery disease or any neurological illness were excluded. Prevalence of psychiatric comorbidities was assessed by MINI screening tool for all major axis 1 disorders including anxiety, eating and mood disorders. The WHOQOL-BREF was used for assessment of well-being, in the four domains, physical, psychological, social and environmental.Results: Females constituted 68.6% of the study population. Lifetime diagnosis of any psychiatric illness was present in 24%, higher in females than males [31% vs 9%, p = 0.003]. The WHOQOL-BREF average scores of psychological, physical and environmental domains were significantly lower (p < 0.001) in patients diagnosed with depression as compared to those without. The WHOQOL-BREF average score of only the physical domain were significantly lower in individuals with BMI ≥30 kg/m2 as compared to those with BMI <30 kg/m2.Conclusions: The burden of undiagnosed psychiatric comorbidity in patients with obesity decreases the quality of life. There is need to screen for psychiatric comorbidities for effective management of obesity.
abstractGer	Background and aims: To determine the prevalence of different psychiatric comorbidities in patients with obesity and study their relationship with the degrees of obesity.Methods: This cross-sectional study included 151 patients with a BMI≥25 kg/m2. Subjects with diagnosed psychiatric illness, type 2 diabetes mellitus, coronary artery disease or any neurological illness were excluded. Prevalence of psychiatric comorbidities was assessed by MINI screening tool for all major axis 1 disorders including anxiety, eating and mood disorders. The WHOQOL-BREF was used for assessment of well-being, in the four domains, physical, psychological, social and environmental.Results: Females constituted 68.6% of the study population. Lifetime diagnosis of any psychiatric illness was present in 24%, higher in females than males [31% vs 9%, p = 0.003]. The WHOQOL-BREF average scores of psychological, physical and environmental domains were significantly lower (p < 0.001) in patients diagnosed with depression as compared to those without. The WHOQOL-BREF average score of only the physical domain were significantly lower in individuals with BMI ≥30 kg/m2 as compared to those with BMI <30 kg/m2.Conclusions: The burden of undiagnosed psychiatric comorbidity in patients with obesity decreases the quality of life. There is need to screen for psychiatric comorbidities for effective management of obesity.
abstract_unstemmed	Background and aims: To determine the prevalence of different psychiatric comorbidities in patients with obesity and study their relationship with the degrees of obesity.Methods: This cross-sectional study included 151 patients with a BMI≥25 kg/m2. Subjects with diagnosed psychiatric illness, type 2 diabetes mellitus, coronary artery disease or any neurological illness were excluded. Prevalence of psychiatric comorbidities was assessed by MINI screening tool for all major axis 1 disorders including anxiety, eating and mood disorders. The WHOQOL-BREF was used for assessment of well-being, in the four domains, physical, psychological, social and environmental.Results: Females constituted 68.6% of the study population. Lifetime diagnosis of any psychiatric illness was present in 24%, higher in females than males [31% vs 9%, p = 0.003]. The WHOQOL-BREF average scores of psychological, physical and environmental domains were significantly lower (p < 0.001) in patients diagnosed with depression as compared to those without. The WHOQOL-BREF average score of only the physical domain were significantly lower in individuals with BMI ≥30 kg/m2 as compared to those with BMI <30 kg/m2.Conclusions: The burden of undiagnosed psychiatric comorbidity in patients with obesity decreases the quality of life. There is need to screen for psychiatric comorbidities for effective management of obesity.
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title_short	Magnitude of psychiatric comorbidity in patients with obesity in Northern Indian population
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author2	Gupta, Gaurav Bhargava, Rachna Kumar, Nand Ranjan, Piyush Pandey, Ravindra M. Pandey, Shivam Vikram, Naval K.
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Magnitude of psychiatric comorbidity in patients with obesity in Northern Indian population

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