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The outbreak of Coronavirus disease 2019 (Covid-19) has a significant impact on the mental health of the global population. Updates are needed regarding the mental health status among the local population since limited studies were done so far. This research compared the prevalence of anxiety and depression symptoms among HCWs and non-HCWs. We also evaluated the factors associated with anxiety and depression symptoms among these 2 groups. This was a cross-sectional study conducted between September to December 2022. Online questionnaire was distributed to HCWs from 2 tertiary government hospitals. Non-HCWs from various occupational fields were recruited randomly. Generalised Anxiety Disorder 7 (GAD-7) and Patient Health Questionnaire 9 (PHQ-9) were used to screen for anxiety and depression symptoms respectively. Data were analyzed using IBM SPSS version 28.0. 200 questionnaires were distributed to HCWs and non-HCWs respectively. The response rate was 74.5% from HCWs and 82.5% from non-HCWs (P = .07). A total of 236 individuals (105 HCWs and 131 non-HCWs) were included in the study. Majority were female, married, highly educated and worked more than 8 hours per day. There was no significant difference for the prevalence of anxiety (37.2% vs 44.3%, P = .34) and depression symptoms (37.3% vs 35.1%, P = .75) between HCWs and non-HCWs. Among HCWs, poor workplace support (P = .009) and low income (P = .04) were associated with anxiety symptoms. Younger age (P = .02), single status (P = .01) and poor workplace support (P = .006) were associated with depression symptoms. More non-HCWs with a higher educational level were having anxiety and depression symptoms. Single status (P = .03), working away from home (P = .02), poor family support (P = .03) and quarantine as Covid-19 close contact (P = .04) were also associated with depression symptoms among non-HCWs. There is no significant difference between HCWs and non-HCWs experiencing possible anxiety or depressive symptoms in this study. However, attention should be paid to address associated factors identified among each group to promote good mental health.

Salinity is a major factor limiting rice yield in coastal areas of Asia. To facilitate breeding salt tolerant rice varieties, the whole-plant growth duration salt tolerance (ST) was genetically dissected by phenotyping two sets of BC2F5introgression lines (ILs) for four yield traits under severe natural salt stress and non-stress filed conditions using SSR markers and the methods of advanced backcross QTL (AB-QTL) analysis and selective introgression. Many QTLs affecting four yield traits under salt stress and non-stress conditions were identified, most (>90%) of which were clustered in 13 genomic regions of the rice genome and involved in complex epistasis. Most QTLs affecting yield traits were differentially expressed under salt stress and non-stress conditions. Our results suggested that genetics complementarily provides an adequate explanation for the hidden genetic diversity for ST observed in both IL populations. Some promising Huanghuazhan (HHZ) ILs with favorable donor alleles at multiple QTLs and significantly improved yield traits under salt stress and non-stress conditions were identified, providing excellent materials and relevant genetic information for improving rice ST by marker-assisted selection (MAS) or genome selection.

Salinity and drought are two of the major abiotic stresses that affect rice (Oryza sativaL.) production especially in Asia. Quantitative trait loci (QTL) for salt tolerance (ST) at seedling stage and drought tolerance (DT) at reproductive stage were identified using 77 BC2F8advanced backcross introgression lines (ILs) derived from a cross of Teqing × Binam in Teqing background. Ten ST QTL were identified governing days to seedlings survival (DSS), score on salt toxicity symptoms on leaves (SST), shoot K+concentration (SKC), and shoot Na+concentration (SNC) at seedling stage, and 23 QTL were identified under reproductive stage drought and irrigated conditions for panicle number per plant (PN), thousand grain weight (TGW), seed fertility (SF), plant height (PH), and grain yield per plant (GYP). Most QTL detected at reproductive stage showed obvious differential expression to drought stress. In addition, another eight QTL were detected by trait ratio of the stress to the irrigation; the alleles at all loci except QSf3showed increasing trait values to be associated with Binam, indicating Binam alleles at these loci could improve DT under drought stress. Upon comparison of identified ST and DT QTL we found 14 QTL shared the same genome regions with similar gene actions, clearly suggesting that genetic overlap existed between the two abiotic stress tolerances. Pyramiding of favorable alleles from Binam into Teqing background should allow us to develop superior ILs with higher levels of ST and DT.