INTRODUCTION: Adolescent depression is prevalent, and teen suicide rates are on the rise locally. A systemic review to understand associated risk and protective factors is important to strengthen measures for the prevention and early detection of adolescent depression and suicide in Singapore. This systematic review aims to identify the factors associated with adolescent depression in Singapore. METHODS: A systematic search on the following databases was performed on 21 May 2020: PubMed, EMBASE and PsycINFO. Full texts were reviewed for eligibility, and the included studies were appraised for quality using the Newcastle Ottawa Scale. Narrative synthesis of the finalised articles was performed through thematic analysis. RESULTS: In total, eight studies were included in this review. The four factors associated with adolescent depression identified were: (1) sociodemographic factors (gender, ethnicity); (2) psychological factors, including childhood maltreatment exposure and psychological constructs (hope, optimism); (3) coexisting chronic medical conditions (asthma); and (4) lifestyle factors (sleep inadequacy, excessive internet use and pathological gaming). CONCLUSION The identified factors were largely similar to those reported in the global literature, except for sleep inadequacy along with conspicuously absent factors such as academic stress and strict parenting, which should prompt further research in these areas. Further research should focus on current and prospective interventions to improve mental health literacy, targeting sleep duration, internet use and gaming, and mitigating the risk of depression in patients with chronic disease in the primary care and community setting.
Humans ; Singapore/epidemiology* ; Adolescent ; Risk Factors ; Depression/etiology* ; Protective Factors ; Male ; Female ; Life Style ; Suicide

AIM: To investigate the role of histidine-rich glycoprotein(HRG)in the neovascularization of diabetic retinopathy in rats.METHODS: Streptozocin(STZ)-induced diabetic Sprague-Dawley(SD)rats were utilized as an experimental model, the protein expression of HRG and vascular endothelial growth factor(VEGF)in the retinas of normal(Wild type, WT)and diabetic(diabetic mellitus, DM)groups was detected using Western blot(WB). The protein expression of HRG in high-glucose-induced human retinal microvascular endothelial cells(hRMECs)was verified by WB after transfection with HRG small interfering RNA(siRNA)low-expression sequences. The optimal si-HRG#298 sequence was selected for further experiments. In the animal experiment, HRG gene silencing was achieved using an adeno-associated virus(AAV)vector, with AAV2-sh-NC and AAV2-sh-HRG#298 serving as the HRG gene silencing group and the HRG empty vector control group, respectively. The protein expression of HRG and VEGF in each group was then detected by WB following the verification of HRG protein expression. Retinal structural changes were observed by HE staining, and neovascularization changes were observed by PAS staining.RESULTS: HE staining found that the retinal structure in the DM group was disordered, the number of cells in the ganglion cell layer decreased, the number of cells in the inner and outer nuclear layers decreased, and the total retinal thickness also decreased(P<0.05); cellular capillaries were significantly increased in DM rats observed by PAS staining(P<0.05); the protein expression of HRG and angiogenesis factor VEGF was up-regulated in the retina of DM group(P<0.05); the protein expression of HRG was significantly downregulated in high glucose-induced hRMECs(P<0.05); the inhibition of neovascularization in diabetic retinas and the downregulation of VEGF protein expression were achieved through HRG gene silencing(P<0.05).CONCLUSION: HRG promotes neovascularization in the retinas of diabetic rats, and HRG gene silencing can inhibit neovascularization.

Objective:To investigate the predictive value of early thyroid function changes on the efficacy of patients with Graves′ disease (GD) after 131I therapy. Methods:Data of patients with GD (59 males, 214 females; age (37.4±11.4) years) who underwent single therapy of 131I in Tianjin Medical University General Hospital from November 2017 to January 2019 were retrospectively analyzed. Symptoms, signs and laboratory tests (serum free triiodothyronine (FT 3) and serum free thyroxine (FT 4)) of patients were observed to assess the efficacy of 131I treatment. Efficacy was divided into complete remission (CR), partial remission (PR), non-remission (NR) or relapse. The changes of thyroid function (ΔFT 3=FT 3 before treatment-FT 3 after treatment)/FT 3 before treatment×100%; ΔFT 4=FT 4 before treatment-FT 4 after treatment)/FT 4 before treatment×100%) 1 month after 131I therapy in each efficacy group and differences among them were compared by using independent-sample t test, χ2 test, one-way analysis of variance and the least significant difference t test. ROC curves were drawn to analyze the predictive values of early thyroid function changes on the efficacy of 131I treatment for GD. Logistic regression analyses were performed to identify the influencing factors for the efficacy of 131I therapy. Results:CR rate and total effective rate of 273 GD patients after single therapy of 131I were 67.03%(183/273) and 92.67%(253/273), respectively. After 1 month, CR rate of euthyroidism group ( n=95) was significantly higher than that of hyperthyroidism group ( n=178; 81.05%(77/95) vs 59.55%(106/178); χ2=4.60, P=0.032). ΔFT 3 and ΔFT 4 at the first month were statistically significant and decreased sequentially in the CR group ( n=183), PR group ( n=70), NR or relapse groups ( n=20; F values: 15.40, 12.54, both P<0.001). ROC curve analysis showed that patients with ΔFT 3≥73.64% and (or) ΔFT 4≥59.03% had a higher probability of achieving CR, with sensitivities of 84.3% and 86.7%, and specificities of 62.6% and 62.6%, respectively. Logistic regression analysis showed that 24 h radioactive iodine uptake (odds ratio ( OR)=1.095, 95% CI: 1.031-1.139), dose of 131I given per gram of thyroid tissue ( OR=1.562, 95% CI: 1.321-1.694), ΔFT 3 ( OR=1.354, 95% CI: 1.295-1.482), ΔFT 4 ( OR=1.498, 95% CI: 1.384-1.608) were factors affecting the outcome of patients with GD treated with 131I treatment (all P<0.05). Conclusion:Effects of 131I treatment can be predicted based on the change of the thyroid function at the first month after 131I treatment in patients with GD.

Objective:To explore the current situation of synergistic allocation of factors of production in China's medical research institutes,sort out the focuses and deficiencies of the existing policies,so as to provide references for the optimization of production factor and the new quality productivity formation in medical institutions.Methods:Based on the two-factor productivity theory,the index evaluation system is constructed,and the composite system synergy model is used to analyze the degree of order of production factors and the degree of synergy of the composite system,and explore the change of synergy degree of each sequential covariate;and the macro model of the health system is used in conjunction with the content analysis method to carry out the frequency counting of the policies to promote the enhancement of the capacity of each production factor of the main body of innovation of the medical scientific research institutes.Results:The synergistic degree of the production factors and the composite system of medical research institutions showed a non-synergistic development trend,with the worst synergistic level in 2021;number of personnel,number of institutions,building floor space,production factors and sequential coefficients were weakly synergized and in a state of non-synergistic development.Among the 43 policy texts,the internal submodular policy tools were used more,the external submodular policy tools were used less,and the use of internal and external policy tools is unbalanced.Conclusion:The number of personnel,institutions and building area of medical research institutions are constraints on the synergistic development of innovative entities.It is recommended to increase the training of innovative talents in medical research institutions,improve the construction of new institutions,coordinate the layout of large scientific devices and functional housing,introduce targeted systematic planning,improve the market of factors of production,and consolidate the technological foundation for future development.

Objective:To explore the current situation of synergistic allocation of factors of production in China's medical research institutes,sort out the focuses and deficiencies of the existing policies,so as to provide references for the optimization of production factor and the new quality productivity formation in medical institutions.Methods:Based on the two-factor productivity theory,the index evaluation system is constructed,and the composite system synergy model is used to analyze the degree of order of production factors and the degree of synergy of the composite system,and explore the change of synergy degree of each sequential covariate;and the macro model of the health system is used in conjunction with the content analysis method to carry out the frequency counting of the policies to promote the enhancement of the capacity of each production factor of the main body of innovation of the medical scientific research institutes.Results:The synergistic degree of the production factors and the composite system of medical research institutions showed a non-synergistic development trend,with the worst synergistic level in 2021;number of personnel,number of institutions,building floor space,production factors and sequential coefficients were weakly synergized and in a state of non-synergistic development.Among the 43 policy texts,the internal submodular policy tools were used more,the external submodular policy tools were used less,and the use of internal and external policy tools is unbalanced.Conclusion:The number of personnel,institutions and building area of medical research institutions are constraints on the synergistic development of innovative entities.It is recommended to increase the training of innovative talents in medical research institutions,improve the construction of new institutions,coordinate the layout of large scientific devices and functional housing,introduce targeted systematic planning,improve the market of factors of production,and consolidate the technological foundation for future development.

Objective:To explore the current situation of synergistic allocation of factors of production in China's medical research institutes,sort out the focuses and deficiencies of the existing policies,so as to provide references for the optimization of production factor and the new quality productivity formation in medical institutions.Methods:Based on the two-factor productivity theory,the index evaluation system is constructed,and the composite system synergy model is used to analyze the degree of order of production factors and the degree of synergy of the composite system,and explore the change of synergy degree of each sequential covariate;and the macro model of the health system is used in conjunction with the content analysis method to carry out the frequency counting of the policies to promote the enhancement of the capacity of each production factor of the main body of innovation of the medical scientific research institutes.Results:The synergistic degree of the production factors and the composite system of medical research institutions showed a non-synergistic development trend,with the worst synergistic level in 2021;number of personnel,number of institutions,building floor space,production factors and sequential coefficients were weakly synergized and in a state of non-synergistic development.Among the 43 policy texts,the internal submodular policy tools were used more,the external submodular policy tools were used less,and the use of internal and external policy tools is unbalanced.Conclusion:The number of personnel,institutions and building area of medical research institutions are constraints on the synergistic development of innovative entities.It is recommended to increase the training of innovative talents in medical research institutions,improve the construction of new institutions,coordinate the layout of large scientific devices and functional housing,introduce targeted systematic planning,improve the market of factors of production,and consolidate the technological foundation for future development.

Objective:To explore the current situation of synergistic allocation of factors of production in China's medical research institutes,sort out the focuses and deficiencies of the existing policies,so as to provide references for the optimization of production factor and the new quality productivity formation in medical institutions.Methods:Based on the two-factor productivity theory,the index evaluation system is constructed,and the composite system synergy model is used to analyze the degree of order of production factors and the degree of synergy of the composite system,and explore the change of synergy degree of each sequential covariate;and the macro model of the health system is used in conjunction with the content analysis method to carry out the frequency counting of the policies to promote the enhancement of the capacity of each production factor of the main body of innovation of the medical scientific research institutes.Results:The synergistic degree of the production factors and the composite system of medical research institutions showed a non-synergistic development trend,with the worst synergistic level in 2021;number of personnel,number of institutions,building floor space,production factors and sequential coefficients were weakly synergized and in a state of non-synergistic development.Among the 43 policy texts,the internal submodular policy tools were used more,the external submodular policy tools were used less,and the use of internal and external policy tools is unbalanced.Conclusion:The number of personnel,institutions and building area of medical research institutions are constraints on the synergistic development of innovative entities.It is recommended to increase the training of innovative talents in medical research institutions,improve the construction of new institutions,coordinate the layout of large scientific devices and functional housing,introduce targeted systematic planning,improve the market of factors of production,and consolidate the technological foundation for future development.

Objective:To explore the current situation of synergistic allocation of factors of production in China's medical research institutes,sort out the focuses and deficiencies of the existing policies,so as to provide references for the optimization of production factor and the new quality productivity formation in medical institutions.Methods:Based on the two-factor productivity theory,the index evaluation system is constructed,and the composite system synergy model is used to analyze the degree of order of production factors and the degree of synergy of the composite system,and explore the change of synergy degree of each sequential covariate;and the macro model of the health system is used in conjunction with the content analysis method to carry out the frequency counting of the policies to promote the enhancement of the capacity of each production factor of the main body of innovation of the medical scientific research institutes.Results:The synergistic degree of the production factors and the composite system of medical research institutions showed a non-synergistic development trend,with the worst synergistic level in 2021;number of personnel,number of institutions,building floor space,production factors and sequential coefficients were weakly synergized and in a state of non-synergistic development.Among the 43 policy texts,the internal submodular policy tools were used more,the external submodular policy tools were used less,and the use of internal and external policy tools is unbalanced.Conclusion:The number of personnel,institutions and building area of medical research institutions are constraints on the synergistic development of innovative entities.It is recommended to increase the training of innovative talents in medical research institutions,improve the construction of new institutions,coordinate the layout of large scientific devices and functional housing,introduce targeted systematic planning,improve the market of factors of production,and consolidate the technological foundation for future development.

Objective:To explore the current situation of synergistic allocation of factors of production in China's medical research institutes,sort out the focuses and deficiencies of the existing policies,so as to provide references for the optimization of production factor and the new quality productivity formation in medical institutions.Methods:Based on the two-factor productivity theory,the index evaluation system is constructed,and the composite system synergy model is used to analyze the degree of order of production factors and the degree of synergy of the composite system,and explore the change of synergy degree of each sequential covariate;and the macro model of the health system is used in conjunction with the content analysis method to carry out the frequency counting of the policies to promote the enhancement of the capacity of each production factor of the main body of innovation of the medical scientific research institutes.Results:The synergistic degree of the production factors and the composite system of medical research institutions showed a non-synergistic development trend,with the worst synergistic level in 2021;number of personnel,number of institutions,building floor space,production factors and sequential coefficients were weakly synergized and in a state of non-synergistic development.Among the 43 policy texts,the internal submodular policy tools were used more,the external submodular policy tools were used less,and the use of internal and external policy tools is unbalanced.Conclusion:The number of personnel,institutions and building area of medical research institutions are constraints on the synergistic development of innovative entities.It is recommended to increase the training of innovative talents in medical research institutions,improve the construction of new institutions,coordinate the layout of large scientific devices and functional housing,introduce targeted systematic planning,improve the market of factors of production,and consolidate the technological foundation for future development.

Objective:To explore the current situation of synergistic allocation of factors of production in China's medical research institutes,sort out the focuses and deficiencies of the existing policies,so as to provide references for the optimization of production factor and the new quality productivity formation in medical institutions.Methods:Based on the two-factor productivity theory,the index evaluation system is constructed,and the composite system synergy model is used to analyze the degree of order of production factors and the degree of synergy of the composite system,and explore the change of synergy degree of each sequential covariate;and the macro model of the health system is used in conjunction with the content analysis method to carry out the frequency counting of the policies to promote the enhancement of the capacity of each production factor of the main body of innovation of the medical scientific research institutes.Results:The synergistic degree of the production factors and the composite system of medical research institutions showed a non-synergistic development trend,with the worst synergistic level in 2021;number of personnel,number of institutions,building floor space,production factors and sequential coefficients were weakly synergized and in a state of non-synergistic development.Among the 43 policy texts,the internal submodular policy tools were used more,the external submodular policy tools were used less,and the use of internal and external policy tools is unbalanced.Conclusion:The number of personnel,institutions and building area of medical research institutions are constraints on the synergistic development of innovative entities.It is recommended to increase the training of innovative talents in medical research institutions,improve the construction of new institutions,coordinate the layout of large scientific devices and functional housing,introduce targeted systematic planning,improve the market of factors of production,and consolidate the technological foundation for future development.