Background: Literature about life satisfaction in rural senior older adults is scarce. The aim of this research was to examine the relationships among mental health, social capital and life satisfaction in rural senior older adults. Methods: This was a cross-sectional study. From July to October 2017, 245 senior older adults from 14 villages of Jinhua City in China were recruited. The Satisfaction with Life Scale (SWLS), the Chinese Version of the 12-item General Health Questionnaire (GHQ-12), the Social Capital Questionnaire (SCQ) and a self-designed questionnaire was administered to the participants. Structural equation modelling was implemented to analyse the relationships between mental health, social capital and life satisfaction in rural senior older adults. Results: The structural equation model was fitting adequately (χ²/df = 1.785, P < 0.001; RMSEA = 0.059; CFI = 0.963). Life satisfaction was positively affected by income (β = 0.243, P = 0.01). Likewise, community canteen services improved life satisfaction (β = 0.288, P = 0.001). Social capital had direct positive prediction on life satisfaction (β = 0.342, P = 0.003) and indirectly improved life satisfaction through mental health (β =0.183, P = 0.007). Life satisfaction was impaired by poor mental health among senior older adults (β = − 0.395, P < 0.026). Conclusions: Life satisfaction among rural senior older adults is a multifaceted well-being construct affected by income, community canteen services, social capital and mental health. The presented model highlights the positive effect of income, community canteen services, social capital and mental health. Appropriate home-based aged care, programs and policies are needed.

Background: Social frailty (SF) is associated with multiple adverse health outcomes, yet there has been an inadequate focus on social frailty. The convoy model portrays the social networks through the perspective of the life course, thus providing a framework to explain the occurrence of social frailty. This study aimd to figure out the prevalence of social frailty and loneliness among community-dwelling older adults and to explore their correlations based on convoy model. Methods: This was a cross-sectional study, and 295 older adults from 10 communities of Zhengzhou in Henan Province participated in the study. Social frailty and loneliness were assessed separately with the Social Frailty Scale and University of California at Los Angeles-Loneliness Scale. The scores of social frailty of the older adults in different characteristic communities were compared by independent sample t-test and single factor analysis of variance. The influencing factors of social frailty were analysed by multiple stepwise linear regression and the structural equation model. The correlation between social frailty and loneliness was analysed by Pearson correlation analysis. Results: The total scores of social frailty and loneliness of the older adults in the community were (2.09 ± 1.53) and (43.19 ± 8.91), respectively. There was a moderate positive correlation between social frailty and loneliness (r = 0.621, P < 0.01). The results of multiple stepwise linear regression analysis showed that age, living styles, balance of payments, and loneliness were the main influencing factors of the social frailty of older adults in the community (F = 27.180, P < 0.001). The structural equation model of social frailty fitted well (χ² = 47.292, df = 26, χ²/df = 1.819, P = 0.007; RMSEA = 0.053, 95%CI (0.028, 0.076), P = 0.359; GFI = 0.971; AGFI = 0.939; NFI = 0.904; IFI = 0.955; TLI = 0.918; CFI = 0.953; SRMR = 0.0466). Conclusions: The convoy model had certain applicability in explanation of the relationship between loneliness and social frailty among older adults in community. The incidence of social frailty among the older adults in the community was high, and loneliness was at a medium level. It is necessary to strengthen the intervention of social frailty and loneliness of the older adults in the community, improve the quality of life of the older adults, and promote the development of healthy aging.

Background: Quality of life (QoL) has become an important measure for evaluating cancer patients’ treatment and prognosis. Breast cancer patients are at an increased risk of experiencing poor QoL during active treatment of cancer. This study aimed to assess QoL and it’s influencing factors among breast cancer patients using the newly updated breast cancer specific tool of the European Organisation for Research and Treatment of Cancer EORTC Breast Cancer Specific Quality of Life Questionnaire QLQ-BR45. Methods: An institutional based crossectional study was conducted with 248 breast cancer patients at Tikur Anbessa Specialized Hospital (TASH). Descriptive statistics, one-way analysis of variance (ANOVA), and linear regression were used to describe and analyze the data. Results: The participant’s Global health status/QoL mean score was 65.6. Among the functional scales, future perspective scored the lowest (57.1, SD ± 37.3). The highest mean score on the symptom scales/items were financial difficulties (50, SD ± 38.6), followed by appetite loss (37.4, SD ± 36.4) and fatigue (34.3, SD ± 27.1) while the lowest symptom score was diarrhoea (6.4 ± 18.4). EORTC QLQ-BR45, future perspective (mean = 57.1, SD ± 37.3) and upset by hair loss (41.8, SD ± 34.6) were the most affected functioning and symptoms scales respectively. An increased stage of tumor was associated with more pain (P = 0.041), appetite loss (P = 0.042), and arm symptoms (P = 0.003). Patients who had no comorbidity had better physical (P < 0.001), cognitive (P = 0.013), and social (P = 0.009) function. Conclusion: These specific functional scales and symptoms should be assessed individually to address unmet needs. Clinicians could design psychosocial interventions to improve these function and to reduce symptoms.

Background: Even though the government’s priorities in preventing cervical cancer are implemented in urban areas, the screening rate remains unsatisfactory at 6%, compared to 70% recommended by the world health organization. The ongoing public health education has not resulted in sufficient screening rates. The study aims to assess peer-led navigation (PLNav) in promoting cervical cancer screening knowledge, intention, and practices among urban women in Tanzania. Since PLNav is the form of task shifting, it involves delegating cervical-cancer-related tasks from healthcare professionals to community health workers (CHWs). Methods: It is a community-based randomized controlled trial conducted in Dar es Salaam in Tanzania March-Sept 2020. The PLNav involved the CHWs delivering health education, counselling and navigation assistance to community women (COMW). The CHWs help women who have never undergone cervical cancer screening (CCS) and those who have undergone CCS but with a precancerous cervical lesion to overcome screening barriers. The data related to PLNav were analyzed by descriptive statistics, an independent-samples t-test, repeated measures ANOVA and linear regression. Results: The repeated measures ANOVA across time showed that PLNav intervention on mean knowledge score changes was statistically significant in the intervention group compared with the control group’s usual care, [F (1, 43) = 56.9, P < .001]. At the six-month follow-up, 32 (72.7%) out of 44 participants from the intervention group had screened for cervical cancer, and only one participant (2.3%) from the control group screened. The PLNav intervention on CCS uptake changes was statistically significant in the intervention group compared with usual care in the control group [F (1, 43) = 100.4, P < .001]. The effect of time on CCS uptake in the intervention and control groups was statistically significant [F (1.64, 70.62) = 73.4, P < .001]. Conclusion: Peer-led navigation (PLNav) was effective in promoting cervical cancer screening knowledge, intention, and uptake.

This study aimed to examine the validity and reliability of the EORTC QLQ-BR45 questionnaire among breast cancer patients in Ethiopia. This study included 248 breast cancer patients who completed the QLQ-BR45 and QLQ-C30 questionnaires. The internal reliability, test–retest reliability, and the content, concurrent, convergent, divergent, and clinical validity of the tool were examined. The statistical analyses included Cronbach’s α coefficient, Pearson’s correlation coefficient, standardised root mean square residual (SRMR), comparative fit index (CFI), t-test, and root mean square error of approximation (RMSEA). All items were marked as relevant, and item-level content validity index (I-CVI) scores ranged from 0.83 to 1. The S-CVI/Ave was calculated by dividing the sum of I-CVI values by the total number of items, which was found to be 0.94. The average CVR value was 0.76. The Cronbach’s α coefficient was 0.80 for all domains. All subscales met the minimal standards of reliability except the arm symptom scale (0.66). The test–retest reliability coefficient was 0.77 for all domains. Seven out of the 12 hypothesised scales showed positive correlations (r > 0.40) between the QLQ-BR45 and QLQ-C30 scales. Multitrait scaling analysis showed that the item-scale correlations exceeded the 0.40 criterion for item-convergent validity for 11 of the 12 hypothesised scales. The correlation coefficients between an item and its own subscale were significantly higher than with other subscales. The EORTC QLQ-BR45 had good reliability and validity, and it can be used to measure the quality of life of breast cancer patients in Ethiopia.

Purpose: This paper reports the methodology for undertaking a randomized controlled trial to assess the combined effect of cognitive behavioral therapy (CBT) and activity pacing on fatigue experienced by breast cancer patients undergoing chemotherapy. Method: Fifty-eight patients experiencing severe fatigue will be randomized to a CBT group or usual care group. The intervention will be given for 6 sessions by a trained oncology nurse. Primary and secondary outcome measures will be assessed at baseline, the sixth week of intervention and at the third month post intervention. The primary outcome measure is fatigue (Brief Fatigue Inventory) and secondary outcome measures include depression (Patient Health Questionnaire) and quality of life (European Organization for Research and Treatment of Cancer Quality of Life Questionnaire). The protocol is designed using the SPIRIT guidelines which is one of the EQUATOR checklists. Discussion: This is the first RCT that will determine the efficacy of CBT by integrating with activity pacing to reduce fatigue among breast cancer patients receiving chemotherapy. The intervention design is novel in addressing multiple precipitating and perpetuating factors of fatigue and integrated with activity pacing in CBT. Conclusion: If the intervention is effective, this therapeutic approach can be incorporated into a routine health care for breast cancer patients receiving chemotherapy. Trial registration: The study have been registered in Pan-African Clinical Trial Registry (website) on August 24, 2020. The trial registration number is PACTR202008881026130.