Background:Female fish farmers in coastal Bangladesh face significant reproductive health(RH)challenges due to occupational,nutritional,and sociocultural factors.However,their health burdens have been largely overlooked in labor and health policies.Objectives:This study aims to investigate the prevalence,severity,determinants,and emotional and relationship consequences of RH morbidities among female fish farmers in Shyamnagar,Satkhira,Bangladesh.Methods:A cross-sectional survey with structured questionnaires was conducted among 297 female fish farmers.Data were supplemented by rural appraisal activities.Descriptive statistics,chi-square tests,Poisson regression,and Structural Equation Modeling were used for analysis.Results:The study found that 59.60％(177/297)of participants suffered from moderate to severe uterine issues,remarkably menstrual irregularities(92.65％,164/177),backache(59.32％,105/177),pelvic and fatigue pain(42.37％,75/177),anemia(28.24％,50/177),with the"21-30"year age group bearing a higher physiological burden with greater relational and emotional disruptions than"31-40"year age group,and"41-50"year age group women.High exposure to occupational chemicals(81.82％,243/297)and lack of personal protective equipment(93.94％,279/297)were key contributors.Access to formal healthcare is limited due to financial hardships(85.86％,255/297),social stigma(51.52％,153/297),and inadequate health services(46.47％,138/297).Structural Equation Modeling results also revealed significant associations among RH morbidities,emotional distress,social isolation,and diminishing well-being.Conclusion:The study highlights the urgent need for integrated health policies addressing reproductive care,occupational safety,and mental health support for female fish farmers in coastal Bangladesh.Addressing these issues will improve their health,well-being,and resilience.

Background:Female fish farmers in coastal Bangladesh face significant reproductive health(RH)challenges due to occupational,nutritional,and sociocultural factors.However,their health burdens have been largely overlooked in labor and health policies.Objectives:This study aims to investigate the prevalence,severity,determinants,and emotional and relationship consequences of RH morbidities among female fish farmers in Shyamnagar,Satkhira,Bangladesh.Methods:A cross-sectional survey with structured questionnaires was conducted among 297 female fish farmers.Data were supplemented by rural appraisal activities.Descriptive statistics,chi-square tests,Poisson regression,and Structural Equation Modeling were used for analysis.Results:The study found that 59.60％(177/297)of participants suffered from moderate to severe uterine issues,remarkably menstrual irregularities(92.65％,164/177),backache(59.32％,105/177),pelvic and fatigue pain(42.37％,75/177),anemia(28.24％,50/177),with the"21-30"year age group bearing a higher physiological burden with greater relational and emotional disruptions than"31-40"year age group,and"41-50"year age group women.High exposure to occupational chemicals(81.82％,243/297)and lack of personal protective equipment(93.94％,279/297)were key contributors.Access to formal healthcare is limited due to financial hardships(85.86％,255/297),social stigma(51.52％,153/297),and inadequate health services(46.47％,138/297).Structural Equation Modeling results also revealed significant associations among RH morbidities,emotional distress,social isolation,and diminishing well-being.Conclusion:The study highlights the urgent need for integrated health policies addressing reproductive care,occupational safety,and mental health support for female fish farmers in coastal Bangladesh.Addressing these issues will improve their health,well-being,and resilience.

Characterization as well as prediction of the secondary and tertiary structure of hypothetical proteins from their amino acid sequences uploaded in databases by in silico approach are the critical issues in computational biology. Severe acute respiratory syndrome–associated coronavirus (SARS-CoV), which is responsible for pneumonia alike diseases, possesses a wide range of proteins of which many are still uncharacterized. The current study was conducted to reveal the physicochemical characteristics and structures of an uncharacterized protein Q6S8D9_SARS of SARS-CoV. Following the common flowchart of characterizing a hypothetical protein, several sophisticated computerized tools e.g., ExPASy Protparam, CD Search, SOPMA, PSIPRED, HHpred, etc. were employed to discover the functions and structures of Q6S8D9_SARS. After delineating the secondary and tertiary structures of the protein, some quality evaluating tools e.g., PROCHECK, ProSA-web etc. were performed to assess the structures and later the active site was identified also by CASTp v.3.0. The protein contains more negatively charged residues than positively charged residues and a high aliphatic index value which make the protein more stable. The 2D and 3D structures modeled by several bioinformatics tools ensured that the proteins had domain in it which indicated it was functional protein having the ability to trouble host antiviral inflammatory cytokine and interferon production pathways. Moreover, active site was found in the protein where ligand could bind. The study was aimed to unveil the features and structures of an uncharacterized protein of SARS-CoV which can be a therapeutic target for development of vaccines against the virus. Further research are needed to accomplish the task.