Objective To implement the harmonization of thyroid-stimulating hormone(TSH) of Mindray assay system by par-ticipating in harmonization research program of International Federation of Clinical Chemistry (IFCC)-Standardization of Thyroid Function Tests(C-STFT ) .Methods A total of three combinations of TSH reagents and calibrators were used to measure 20 serum samples of healthy human .Within-run precision and batch-to-batch variation were assessed .The concept of harmonization was dem-onstrated by comparing our test results with All Procedure Trimmed Mean (APTM ) provided by IFCC and recalibrating with Mater Calibrators .Results The within-run precision was 1 .96% ,batch-to-batch variation was 0 .47% - 1 .15% ,depending on the level of TSH analyte .There existed a positive bias compared to APTM values .After recalibration with Mater Calibrators and Passing &Bablok regression ,the slope of method comparison was 1 .0 ,and correlation coefficient was more than 0 .975 .Conclusion By using a panel of real human specimen and recalibration based on APTM ,the test results of Mindray assay system could be harmonized with mainstream manufacturers globally .

Objective: The purpose of this study was to investigate the different categories of males within two groups, namely a community male sample who engaged in online sexual activities (OSAs) and a subclinical male sample who were out of control in viewing pornography and had sought help. Additionally, the study aimed to determine the threshold for excessive OSAs in both samples. Methods: A total of 568 community adult males who engaged in OSAs and 567 adult males seeking help for pornography use were recruited online. A latent profile analysis (LPA) was used to identify potential profiles within the samples. Cut-point analyses were conducted to determine optimal cutoff scores for OSAs in each sample. Results: The LPA revealed two categories with different cutoff scores for OSAs within each sample. Excessive OSA can be a screening tool for detecting out-of-control behavior. More stringent criteria for identifying excessive OSAs can aid in distinguishing problematic pornography use (PPU) from impaired control in viewing sexually-explicit materials (SEMs). Two subcategories of loss of control emerged: high OSAs frequency impaired control and high viewing SEMs impaired control. Conclusion The threholds of excessive OSAs varies among community and sub-clinical male samples; this knowledge can assist in screening out individuals with impaired control and selecting individuals with PPU from the subclinical sample.

Objective: The purpose of this study was to investigate the different categories of males within two groups, namely a community male sample who engaged in online sexual activities (OSAs) and a subclinical male sample who were out of control in viewing pornography and had sought help. Additionally, the study aimed to determine the threshold for excessive OSAs in both samples. Methods: A total of 568 community adult males who engaged in OSAs and 567 adult males seeking help for pornography use were recruited online. A latent profile analysis (LPA) was used to identify potential profiles within the samples. Cut-point analyses were conducted to determine optimal cutoff scores for OSAs in each sample. Results: The LPA revealed two categories with different cutoff scores for OSAs within each sample. Excessive OSA can be a screening tool for detecting out-of-control behavior. More stringent criteria for identifying excessive OSAs can aid in distinguishing problematic pornography use (PPU) from impaired control in viewing sexually-explicit materials (SEMs). Two subcategories of loss of control emerged: high OSAs frequency impaired control and high viewing SEMs impaired control. Conclusion The threholds of excessive OSAs varies among community and sub-clinical male samples; this knowledge can assist in screening out individuals with impaired control and selecting individuals with PPU from the subclinical sample.

Objective: The purpose of this study was to investigate the different categories of males within two groups, namely a community male sample who engaged in online sexual activities (OSAs) and a subclinical male sample who were out of control in viewing pornography and had sought help. Additionally, the study aimed to determine the threshold for excessive OSAs in both samples. Methods: A total of 568 community adult males who engaged in OSAs and 567 adult males seeking help for pornography use were recruited online. A latent profile analysis (LPA) was used to identify potential profiles within the samples. Cut-point analyses were conducted to determine optimal cutoff scores for OSAs in each sample. Results: The LPA revealed two categories with different cutoff scores for OSAs within each sample. Excessive OSA can be a screening tool for detecting out-of-control behavior. More stringent criteria for identifying excessive OSAs can aid in distinguishing problematic pornography use (PPU) from impaired control in viewing sexually-explicit materials (SEMs). Two subcategories of loss of control emerged: high OSAs frequency impaired control and high viewing SEMs impaired control. Conclusion The threholds of excessive OSAs varies among community and sub-clinical male samples; this knowledge can assist in screening out individuals with impaired control and selecting individuals with PPU from the subclinical sample.

Objective: The purpose of this study was to investigate the different categories of males within two groups, namely a community male sample who engaged in online sexual activities (OSAs) and a subclinical male sample who were out of control in viewing pornography and had sought help. Additionally, the study aimed to determine the threshold for excessive OSAs in both samples. Methods: A total of 568 community adult males who engaged in OSAs and 567 adult males seeking help for pornography use were recruited online. A latent profile analysis (LPA) was used to identify potential profiles within the samples. Cut-point analyses were conducted to determine optimal cutoff scores for OSAs in each sample. Results: The LPA revealed two categories with different cutoff scores for OSAs within each sample. Excessive OSA can be a screening tool for detecting out-of-control behavior. More stringent criteria for identifying excessive OSAs can aid in distinguishing problematic pornography use (PPU) from impaired control in viewing sexually-explicit materials (SEMs). Two subcategories of loss of control emerged: high OSAs frequency impaired control and high viewing SEMs impaired control. Conclusion The threholds of excessive OSAs varies among community and sub-clinical male samples; this knowledge can assist in screening out individuals with impaired control and selecting individuals with PPU from the subclinical sample.

Objective: The purpose of this study was to investigate the different categories of males within two groups, namely a community male sample who engaged in online sexual activities (OSAs) and a subclinical male sample who were out of control in viewing pornography and had sought help. Additionally, the study aimed to determine the threshold for excessive OSAs in both samples. Methods: A total of 568 community adult males who engaged in OSAs and 567 adult males seeking help for pornography use were recruited online. A latent profile analysis (LPA) was used to identify potential profiles within the samples. Cut-point analyses were conducted to determine optimal cutoff scores for OSAs in each sample. Results: The LPA revealed two categories with different cutoff scores for OSAs within each sample. Excessive OSA can be a screening tool for detecting out-of-control behavior. More stringent criteria for identifying excessive OSAs can aid in distinguishing problematic pornography use (PPU) from impaired control in viewing sexually-explicit materials (SEMs). Two subcategories of loss of control emerged: high OSAs frequency impaired control and high viewing SEMs impaired control. Conclusion The threholds of excessive OSAs varies among community and sub-clinical male samples; this knowledge can assist in screening out individuals with impaired control and selecting individuals with PPU from the subclinical sample.