The prevalence and correlates of depression in elderly outpatients in community health centers

To understand the prevalence of depression in elderly outpatients in Community health centers (CHCs) and analyze the influencing factors related to depression. Methods: We conducted a multi-center, cross-sectional, one-to-one questionnaire survey. The depression symptoms were assessed by the Patien...
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Autor*in:	Nana Li [verfasserIn] Juan Shou [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	Depression Elderly Outpatients Community health centers Risk factors

Übergeordnetes Werk:	In: Journal of Affective Disorders Reports - Elsevier, 2021, 3(2021), Seite 100044-
Übergeordnetes Werk:	volume:3 ; year:2021 ; pages:100044-

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1016/j.jadr.2020.100044

Katalog-ID:	DOAJ058802401

Internformat


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520			\|a Background: With the deepening and aggravating of aging in China, depression in the elderly is a common psychological disorder, it can affect the quality of life, and even lead to suicide in severe cases. Objective:: To understand the prevalence of depression in elderly outpatients in Community health centers (CHCs) and analyze the influencing factors related to depression. Methods: We conducted a multi-center, cross-sectional, one-to-one questionnaire survey. The depression symptoms were assessed by the Patients Health Questionnaire Depression Scale (PHQ-9). In the questionnaire, we also collected the sociodemographic characteristics, health status, and visiting conditions of the patients. The correlates were analyzed through the chi-square test and stepwise logistics regression. Results:: 619 elderly patients participated in the survey and the prevalence of depression was 26.3%. Patients with low education level (Junior high school OR=0.454, High school or secondary school OR=0.461, College and above OR=0.291), living in urban(OR=2.793), poor family relationship (80–89 score OR=0.182,≥90 score OR=0.201), low social support (Satisfied OR=0.37), poor self-infected healthy condition(70–79 score OR=0.463, 80–89 score OR=0.13,≥90 score OR=0.043), physical pain(pain sometimes OR=2.002, interfere with daily life OR=3.012), high medical expense (≥400 yuan OR=3.47), no long-term use of medicine (OR=0.326) and frequent visits to CHCs (OR=1.857 ) and general hospitals (≥1 time per month OR=2.08) were the risk factors for depression of elderly patients, all P values <0.05. Conclusion: It is necessary for primary care to incorporate depression into disease management. Through the concerted efforts of family, society and general practitioners, the adjustable risk factors (social demographic and health-related factors) of depression could be controlled to improve the quality of life of patients and the effective use of community health services.
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650		4	\|a Elderly
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650		4	\|a Risk factors
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allfields	10.1016/j.jadr.2020.100044 doi (DE-627)DOAJ058802401 (DE-599)DOAJ4c5847422b1b43289d271575a2b31534 DE-627 ger DE-627 rakwb eng RZ400-408 Nana Li verfasserin aut The prevalence and correlates of depression in elderly outpatients in community health centers 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: With the deepening and aggravating of aging in China, depression in the elderly is a common psychological disorder, it can affect the quality of life, and even lead to suicide in severe cases. Objective:: To understand the prevalence of depression in elderly outpatients in Community health centers (CHCs) and analyze the influencing factors related to depression. Methods: We conducted a multi-center, cross-sectional, one-to-one questionnaire survey. The depression symptoms were assessed by the Patients Health Questionnaire Depression Scale (PHQ-9). In the questionnaire, we also collected the sociodemographic characteristics, health status, and visiting conditions of the patients. The correlates were analyzed through the chi-square test and stepwise logistics regression. Results:: 619 elderly patients participated in the survey and the prevalence of depression was 26.3%. Patients with low education level (Junior high school OR=0.454, High school or secondary school OR=0.461, College and above OR=0.291), living in urban(OR=2.793), poor family relationship (80–89 score OR=0.182,≥90 score OR=0.201), low social support (Satisfied OR=0.37), poor self-infected healthy condition(70–79 score OR=0.463, 80–89 score OR=0.13,≥90 score OR=0.043), physical pain(pain sometimes OR=2.002, interfere with daily life OR=3.012), high medical expense (≥400 yuan OR=3.47), no long-term use of medicine (OR=0.326) and frequent visits to CHCs (OR=1.857 ) and general hospitals (≥1 time per month OR=2.08) were the risk factors for depression of elderly patients, all P values <0.05. Conclusion: It is necessary for primary care to incorporate depression into disease management. Through the concerted efforts of family, society and general practitioners, the adjustable risk factors (social demographic and health-related factors) of depression could be controlled to improve the quality of life of patients and the effective use of community health services. Depression Elderly Outpatients Community health centers Risk factors Mental healing Juan Shou verfasserin aut In Journal of Affective Disorders Reports Elsevier, 2021 3(2021), Seite 100044- (DE-627)1747967335 26669153 nnns volume:3 year:2021 pages:100044- https://doi.org/10.1016/j.jadr.2020.100044 kostenfrei https://doaj.org/article/4c5847422b1b43289d271575a2b31534 kostenfrei http://www.sciencedirect.com/science/article/pii/S2666915320300445 kostenfrei https://doaj.org/toc/2666-9153 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 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_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 3 2021 100044-
spelling	10.1016/j.jadr.2020.100044 doi (DE-627)DOAJ058802401 (DE-599)DOAJ4c5847422b1b43289d271575a2b31534 DE-627 ger DE-627 rakwb eng RZ400-408 Nana Li verfasserin aut The prevalence and correlates of depression in elderly outpatients in community health centers 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: With the deepening and aggravating of aging in China, depression in the elderly is a common psychological disorder, it can affect the quality of life, and even lead to suicide in severe cases. Objective:: To understand the prevalence of depression in elderly outpatients in Community health centers (CHCs) and analyze the influencing factors related to depression. Methods: We conducted a multi-center, cross-sectional, one-to-one questionnaire survey. The depression symptoms were assessed by the Patients Health Questionnaire Depression Scale (PHQ-9). In the questionnaire, we also collected the sociodemographic characteristics, health status, and visiting conditions of the patients. The correlates were analyzed through the chi-square test and stepwise logistics regression. Results:: 619 elderly patients participated in the survey and the prevalence of depression was 26.3%. Patients with low education level (Junior high school OR=0.454, High school or secondary school OR=0.461, College and above OR=0.291), living in urban(OR=2.793), poor family relationship (80–89 score OR=0.182,≥90 score OR=0.201), low social support (Satisfied OR=0.37), poor self-infected healthy condition(70–79 score OR=0.463, 80–89 score OR=0.13,≥90 score OR=0.043), physical pain(pain sometimes OR=2.002, interfere with daily life OR=3.012), high medical expense (≥400 yuan OR=3.47), no long-term use of medicine (OR=0.326) and frequent visits to CHCs (OR=1.857 ) and general hospitals (≥1 time per month OR=2.08) were the risk factors for depression of elderly patients, all P values <0.05. Conclusion: It is necessary for primary care to incorporate depression into disease management. Through the concerted efforts of family, society and general practitioners, the adjustable risk factors (social demographic and health-related factors) of depression could be controlled to improve the quality of life of patients and the effective use of community health services. Depression Elderly Outpatients Community health centers Risk factors Mental healing Juan Shou verfasserin aut In Journal of Affective Disorders Reports Elsevier, 2021 3(2021), Seite 100044- (DE-627)1747967335 26669153 nnns volume:3 year:2021 pages:100044- https://doi.org/10.1016/j.jadr.2020.100044 kostenfrei https://doaj.org/article/4c5847422b1b43289d271575a2b31534 kostenfrei http://www.sciencedirect.com/science/article/pii/S2666915320300445 kostenfrei https://doaj.org/toc/2666-9153 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 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_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 3 2021 100044-
allfields_unstemmed	10.1016/j.jadr.2020.100044 doi (DE-627)DOAJ058802401 (DE-599)DOAJ4c5847422b1b43289d271575a2b31534 DE-627 ger DE-627 rakwb eng RZ400-408 Nana Li verfasserin aut The prevalence and correlates of depression in elderly outpatients in community health centers 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: With the deepening and aggravating of aging in China, depression in the elderly is a common psychological disorder, it can affect the quality of life, and even lead to suicide in severe cases. Objective:: To understand the prevalence of depression in elderly outpatients in Community health centers (CHCs) and analyze the influencing factors related to depression. Methods: We conducted a multi-center, cross-sectional, one-to-one questionnaire survey. The depression symptoms were assessed by the Patients Health Questionnaire Depression Scale (PHQ-9). In the questionnaire, we also collected the sociodemographic characteristics, health status, and visiting conditions of the patients. The correlates were analyzed through the chi-square test and stepwise logistics regression. Results:: 619 elderly patients participated in the survey and the prevalence of depression was 26.3%. Patients with low education level (Junior high school OR=0.454, High school or secondary school OR=0.461, College and above OR=0.291), living in urban(OR=2.793), poor family relationship (80–89 score OR=0.182,≥90 score OR=0.201), low social support (Satisfied OR=0.37), poor self-infected healthy condition(70–79 score OR=0.463, 80–89 score OR=0.13,≥90 score OR=0.043), physical pain(pain sometimes OR=2.002, interfere with daily life OR=3.012), high medical expense (≥400 yuan OR=3.47), no long-term use of medicine (OR=0.326) and frequent visits to CHCs (OR=1.857 ) and general hospitals (≥1 time per month OR=2.08) were the risk factors for depression of elderly patients, all P values <0.05. Conclusion: It is necessary for primary care to incorporate depression into disease management. Through the concerted efforts of family, society and general practitioners, the adjustable risk factors (social demographic and health-related factors) of depression could be controlled to improve the quality of life of patients and the effective use of community health services. Depression Elderly Outpatients Community health centers Risk factors Mental healing Juan Shou verfasserin aut In Journal of Affective Disorders Reports Elsevier, 2021 3(2021), Seite 100044- (DE-627)1747967335 26669153 nnns volume:3 year:2021 pages:100044- https://doi.org/10.1016/j.jadr.2020.100044 kostenfrei https://doaj.org/article/4c5847422b1b43289d271575a2b31534 kostenfrei http://www.sciencedirect.com/science/article/pii/S2666915320300445 kostenfrei https://doaj.org/toc/2666-9153 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 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_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 3 2021 100044-
allfieldsGer	10.1016/j.jadr.2020.100044 doi (DE-627)DOAJ058802401 (DE-599)DOAJ4c5847422b1b43289d271575a2b31534 DE-627 ger DE-627 rakwb eng RZ400-408 Nana Li verfasserin aut The prevalence and correlates of depression in elderly outpatients in community health centers 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: With the deepening and aggravating of aging in China, depression in the elderly is a common psychological disorder, it can affect the quality of life, and even lead to suicide in severe cases. Objective:: To understand the prevalence of depression in elderly outpatients in Community health centers (CHCs) and analyze the influencing factors related to depression. Methods: We conducted a multi-center, cross-sectional, one-to-one questionnaire survey. The depression symptoms were assessed by the Patients Health Questionnaire Depression Scale (PHQ-9). In the questionnaire, we also collected the sociodemographic characteristics, health status, and visiting conditions of the patients. The correlates were analyzed through the chi-square test and stepwise logistics regression. Results:: 619 elderly patients participated in the survey and the prevalence of depression was 26.3%. Patients with low education level (Junior high school OR=0.454, High school or secondary school OR=0.461, College and above OR=0.291), living in urban(OR=2.793), poor family relationship (80–89 score OR=0.182,≥90 score OR=0.201), low social support (Satisfied OR=0.37), poor self-infected healthy condition(70–79 score OR=0.463, 80–89 score OR=0.13,≥90 score OR=0.043), physical pain(pain sometimes OR=2.002, interfere with daily life OR=3.012), high medical expense (≥400 yuan OR=3.47), no long-term use of medicine (OR=0.326) and frequent visits to CHCs (OR=1.857 ) and general hospitals (≥1 time per month OR=2.08) were the risk factors for depression of elderly patients, all P values <0.05. Conclusion: It is necessary for primary care to incorporate depression into disease management. Through the concerted efforts of family, society and general practitioners, the adjustable risk factors (social demographic and health-related factors) of depression could be controlled to improve the quality of life of patients and the effective use of community health services. Depression Elderly Outpatients Community health centers Risk factors Mental healing Juan Shou verfasserin aut In Journal of Affective Disorders Reports Elsevier, 2021 3(2021), Seite 100044- (DE-627)1747967335 26669153 nnns volume:3 year:2021 pages:100044- https://doi.org/10.1016/j.jadr.2020.100044 kostenfrei https://doaj.org/article/4c5847422b1b43289d271575a2b31534 kostenfrei http://www.sciencedirect.com/science/article/pii/S2666915320300445 kostenfrei https://doaj.org/toc/2666-9153 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 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_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 3 2021 100044-
allfieldsSound	10.1016/j.jadr.2020.100044 doi (DE-627)DOAJ058802401 (DE-599)DOAJ4c5847422b1b43289d271575a2b31534 DE-627 ger DE-627 rakwb eng RZ400-408 Nana Li verfasserin aut The prevalence and correlates of depression in elderly outpatients in community health centers 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: With the deepening and aggravating of aging in China, depression in the elderly is a common psychological disorder, it can affect the quality of life, and even lead to suicide in severe cases. Objective:: To understand the prevalence of depression in elderly outpatients in Community health centers (CHCs) and analyze the influencing factors related to depression. Methods: We conducted a multi-center, cross-sectional, one-to-one questionnaire survey. The depression symptoms were assessed by the Patients Health Questionnaire Depression Scale (PHQ-9). In the questionnaire, we also collected the sociodemographic characteristics, health status, and visiting conditions of the patients. The correlates were analyzed through the chi-square test and stepwise logistics regression. Results:: 619 elderly patients participated in the survey and the prevalence of depression was 26.3%. Patients with low education level (Junior high school OR=0.454, High school or secondary school OR=0.461, College and above OR=0.291), living in urban(OR=2.793), poor family relationship (80–89 score OR=0.182,≥90 score OR=0.201), low social support (Satisfied OR=0.37), poor self-infected healthy condition(70–79 score OR=0.463, 80–89 score OR=0.13,≥90 score OR=0.043), physical pain(pain sometimes OR=2.002, interfere with daily life OR=3.012), high medical expense (≥400 yuan OR=3.47), no long-term use of medicine (OR=0.326) and frequent visits to CHCs (OR=1.857 ) and general hospitals (≥1 time per month OR=2.08) were the risk factors for depression of elderly patients, all P values <0.05. Conclusion: It is necessary for primary care to incorporate depression into disease management. Through the concerted efforts of family, society and general practitioners, the adjustable risk factors (social demographic and health-related factors) of depression could be controlled to improve the quality of life of patients and the effective use of community health services. Depression Elderly Outpatients Community health centers Risk factors Mental healing Juan Shou verfasserin aut In Journal of Affective Disorders Reports Elsevier, 2021 3(2021), Seite 100044- (DE-627)1747967335 26669153 nnns volume:3 year:2021 pages:100044- https://doi.org/10.1016/j.jadr.2020.100044 kostenfrei https://doaj.org/article/4c5847422b1b43289d271575a2b31534 kostenfrei http://www.sciencedirect.com/science/article/pii/S2666915320300445 kostenfrei https://doaj.org/toc/2666-9153 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 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_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 3 2021 100044-
language	English
source	In Journal of Affective Disorders Reports 3(2021), Seite 100044- volume:3 year:2021 pages:100044-
sourceStr	In Journal of Affective Disorders Reports 3(2021), Seite 100044- volume:3 year:2021 pages:100044-
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Depression Elderly Outpatients Community health centers Risk factors Mental healing
isfreeaccess_bool	true
container_title	Journal of Affective Disorders Reports
authorswithroles_txt_mv	Nana Li @@aut@@ Juan Shou @@aut@@
publishDateDaySort_date	2021-01-01T00:00:00Z
hierarchy_top_id	1747967335
id	DOAJ058802401
language_de	englisch
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ058802401</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230308230305.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230228s2021 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.jadr.2020.100044</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ058802401</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ4c5847422b1b43289d271575a2b31534</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">RZ400-408</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Nana Li</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="4"><subfield code="a">The prevalence and correlates of depression in elderly outpatients in community health centers</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2021</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Background: With the deepening and aggravating of aging in China, depression in the elderly is a common psychological disorder, it can affect the quality of life, and even lead to suicide in severe cases. Objective:: To understand the prevalence of depression in elderly outpatients in Community health centers (CHCs) and analyze the influencing factors related to depression. Methods: We conducted a multi-center, cross-sectional, one-to-one questionnaire survey. The depression symptoms were assessed by the Patients Health Questionnaire Depression Scale (PHQ-9). In the questionnaire, we also collected the sociodemographic characteristics, health status, and visiting conditions of the patients. The correlates were analyzed through the chi-square test and stepwise logistics regression. Results:: 619 elderly patients participated in the survey and the prevalence of depression was 26.3%. Patients with low education level (Junior high school OR=0.454, High school or secondary school OR=0.461, College and above OR=0.291), living in urban(OR=2.793), poor family relationship (80–89 score OR=0.182,≥90 score OR=0.201), low social support (Satisfied OR=0.37), poor self-infected healthy condition(70–79 score OR=0.463, 80–89 score OR=0.13,≥90 score OR=0.043), physical pain(pain sometimes OR=2.002, interfere with daily life OR=3.012), high medical expense (≥400 yuan OR=3.47), no long-term use of medicine (OR=0.326) and frequent visits to CHCs (OR=1.857 ) and general hospitals (≥1 time per month OR=2.08) were the risk factors for depression of elderly patients, all P values <0.05. Conclusion: It is necessary for primary care to incorporate depression into disease management. 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callnumber-first	R - Medicine
author	Nana Li
spellingShingle	Nana Li misc RZ400-408 misc Depression misc Elderly misc Outpatients misc Community health centers misc Risk factors misc Mental healing The prevalence and correlates of depression in elderly outpatients in community health centers
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topic_title	RZ400-408 The prevalence and correlates of depression in elderly outpatients in community health centers Depression Elderly Outpatients Community health centers Risk factors
topic	misc RZ400-408 misc Depression misc Elderly misc Outpatients misc Community health centers misc Risk factors misc Mental healing
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title	The prevalence and correlates of depression in elderly outpatients in community health centers
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title_full	The prevalence and correlates of depression in elderly outpatients in community health centers
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title_sort	prevalence and correlates of depression in elderly outpatients in community health centers
callnumber	RZ400-408
title_auth	The prevalence and correlates of depression in elderly outpatients in community health centers
abstract	Background: With the deepening and aggravating of aging in China, depression in the elderly is a common psychological disorder, it can affect the quality of life, and even lead to suicide in severe cases. Objective:: To understand the prevalence of depression in elderly outpatients in Community health centers (CHCs) and analyze the influencing factors related to depression. Methods: We conducted a multi-center, cross-sectional, one-to-one questionnaire survey. The depression symptoms were assessed by the Patients Health Questionnaire Depression Scale (PHQ-9). In the questionnaire, we also collected the sociodemographic characteristics, health status, and visiting conditions of the patients. The correlates were analyzed through the chi-square test and stepwise logistics regression. Results:: 619 elderly patients participated in the survey and the prevalence of depression was 26.3%. Patients with low education level (Junior high school OR=0.454, High school or secondary school OR=0.461, College and above OR=0.291), living in urban(OR=2.793), poor family relationship (80–89 score OR=0.182,≥90 score OR=0.201), low social support (Satisfied OR=0.37), poor self-infected healthy condition(70–79 score OR=0.463, 80–89 score OR=0.13,≥90 score OR=0.043), physical pain(pain sometimes OR=2.002, interfere with daily life OR=3.012), high medical expense (≥400 yuan OR=3.47), no long-term use of medicine (OR=0.326) and frequent visits to CHCs (OR=1.857 ) and general hospitals (≥1 time per month OR=2.08) were the risk factors for depression of elderly patients, all P values <0.05. Conclusion: It is necessary for primary care to incorporate depression into disease management. Through the concerted efforts of family, society and general practitioners, the adjustable risk factors (social demographic and health-related factors) of depression could be controlled to improve the quality of life of patients and the effective use of community health services.
abstractGer	Background: With the deepening and aggravating of aging in China, depression in the elderly is a common psychological disorder, it can affect the quality of life, and even lead to suicide in severe cases. Objective:: To understand the prevalence of depression in elderly outpatients in Community health centers (CHCs) and analyze the influencing factors related to depression. Methods: We conducted a multi-center, cross-sectional, one-to-one questionnaire survey. The depression symptoms were assessed by the Patients Health Questionnaire Depression Scale (PHQ-9). In the questionnaire, we also collected the sociodemographic characteristics, health status, and visiting conditions of the patients. The correlates were analyzed through the chi-square test and stepwise logistics regression. Results:: 619 elderly patients participated in the survey and the prevalence of depression was 26.3%. Patients with low education level (Junior high school OR=0.454, High school or secondary school OR=0.461, College and above OR=0.291), living in urban(OR=2.793), poor family relationship (80–89 score OR=0.182,≥90 score OR=0.201), low social support (Satisfied OR=0.37), poor self-infected healthy condition(70–79 score OR=0.463, 80–89 score OR=0.13,≥90 score OR=0.043), physical pain(pain sometimes OR=2.002, interfere with daily life OR=3.012), high medical expense (≥400 yuan OR=3.47), no long-term use of medicine (OR=0.326) and frequent visits to CHCs (OR=1.857 ) and general hospitals (≥1 time per month OR=2.08) were the risk factors for depression of elderly patients, all P values <0.05. Conclusion: It is necessary for primary care to incorporate depression into disease management. Through the concerted efforts of family, society and general practitioners, the adjustable risk factors (social demographic and health-related factors) of depression could be controlled to improve the quality of life of patients and the effective use of community health services.
abstract_unstemmed	Background: With the deepening and aggravating of aging in China, depression in the elderly is a common psychological disorder, it can affect the quality of life, and even lead to suicide in severe cases. Objective:: To understand the prevalence of depression in elderly outpatients in Community health centers (CHCs) and analyze the influencing factors related to depression. Methods: We conducted a multi-center, cross-sectional, one-to-one questionnaire survey. The depression symptoms were assessed by the Patients Health Questionnaire Depression Scale (PHQ-9). In the questionnaire, we also collected the sociodemographic characteristics, health status, and visiting conditions of the patients. The correlates were analyzed through the chi-square test and stepwise logistics regression. Results:: 619 elderly patients participated in the survey and the prevalence of depression was 26.3%. Patients with low education level (Junior high school OR=0.454, High school or secondary school OR=0.461, College and above OR=0.291), living in urban(OR=2.793), poor family relationship (80–89 score OR=0.182,≥90 score OR=0.201), low social support (Satisfied OR=0.37), poor self-infected healthy condition(70–79 score OR=0.463, 80–89 score OR=0.13,≥90 score OR=0.043), physical pain(pain sometimes OR=2.002, interfere with daily life OR=3.012), high medical expense (≥400 yuan OR=3.47), no long-term use of medicine (OR=0.326) and frequent visits to CHCs (OR=1.857 ) and general hospitals (≥1 time per month OR=2.08) were the risk factors for depression of elderly patients, all P values <0.05. Conclusion: It is necessary for primary care to incorporate depression into disease management. Through the concerted efforts of family, society and general practitioners, the adjustable risk factors (social demographic and health-related factors) of depression could be controlled to improve the quality of life of patients and the effective use of community health services.
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title_short	The prevalence and correlates of depression in elderly outpatients in community health centers
url	https://doi.org/10.1016/j.jadr.2020.100044 https://doaj.org/article/4c5847422b1b43289d271575a2b31534 http://www.sciencedirect.com/science/article/pii/S2666915320300445 https://doaj.org/toc/2666-9153
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Objective:: To understand the prevalence of depression in elderly outpatients in Community health centers (CHCs) and analyze the influencing factors related to depression. Methods: We conducted a multi-center, cross-sectional, one-to-one questionnaire survey. The depression symptoms were assessed by the Patients Health Questionnaire Depression Scale (PHQ-9). In the questionnaire, we also collected the sociodemographic characteristics, health status, and visiting conditions of the patients. The correlates were analyzed through the chi-square test and stepwise logistics regression. Results:: 619 elderly patients participated in the survey and the prevalence of depression was 26.3%. Patients with low education level (Junior high school OR=0.454, High school or secondary school OR=0.461, College and above OR=0.291), living in urban(OR=2.793), poor family relationship (80–89 score OR=0.182,≥90 score OR=0.201), low social support (Satisfied OR=0.37), poor self-infected healthy condition(70–79 score OR=0.463, 80–89 score OR=0.13,≥90 score OR=0.043), physical pain(pain sometimes OR=2.002, interfere with daily life OR=3.012), high medical expense (≥400 yuan OR=3.47), no long-term use of medicine (OR=0.326) and frequent visits to CHCs (OR=1.857 ) and general hospitals (≥1 time per month OR=2.08) were the risk factors for depression of elderly patients, all P values <0.05. Conclusion: It is necessary for primary care to incorporate depression into disease management. Through the concerted efforts of family, society and general practitioners, the adjustable risk factors (social demographic and health-related factors) of depression could be controlled to improve the quality of life of patients and the effective use of community health services.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Depression</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Elderly</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Outpatients</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Community health centers</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Risk factors</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Mental healing</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Juan Shou</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Journal of Affective Disorders Reports</subfield><subfield code="d">Elsevier, 2021</subfield><subfield code="g">3(2021), Seite 100044-</subfield><subfield code="w">(DE-627)1747967335</subfield><subfield code="x">26669153</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:3</subfield><subfield code="g">year:2021</subfield><subfield code="g">pages:100044-</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.jadr.2020.100044</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/4c5847422b1b43289d271575a2b31534</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield 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The prevalence and correlates of depression in elderly outpatients in community health centers

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