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Bridging the Gap: The Role of Social Media Support Groups in Diabetes Care and Management
Journal ArticleBackground: With the growing prevalence of diabetes in Kenya and the complex challenges of managing the disease, individuals with diabetes increasingly turn to social media (SM) support groups. This study explores how these individuals engage with SM support groups and how they verify the information shared within these platforms.
Methods: A qualitative study was conducted from June-August 2022. Participants (n=15) were purposively recruited from Facebook and WhatsApp social support groups exclusively for those with diabetes. Participants included adults diagnosed with diabetes and were active members of the SM support group. Data was collected virtually through in-depth, semi-structured interviews conducted via Zoom. Data was transcribed, coded, and analyzed using content analysis.
Results: Five themes were constructed: 1) SM support groups provide accessible and affordable health information, 2) Participants leverage support groups as an alternative to formal professional healthcare engagement, 3) Participants leverage SM support groups to learn from peer-driven experiences and strategies to enhance diabetes self-care 4) Participants value community empathy and peer support in SM support groups 5) Participants strategies of authenticating and verifying information from SM support groups.
Conclusion: The study highlights the multifaceted role of SM groups in diabetes care in Kenya, suggesting the need for healthcare professionals to collaborate with these online communities. It emphasizes the necessity for accurate information verification and points to the future integration of SM groups into formal healthcare strategies
Socio-Demographic Factors and Prevalence of Anxiety Disorder Among Type 2 Diabetic Patients: A Study of Mbagathi Level V Hospital, Nairobi County, Kenya
Master in Clinical PsychologyThe socio demographic factors and prevalence of anxiety disorder among type 2 diabetes mellitus patients is under studied especially in Kenya. This forms the basis of this study which aimed to understand the prevalence and risk factors contributing to anxiety disorder among Type 2 diabetes patients. This was done by identifying various socio-demographic factors which in turn helped in determining the socio demographic factors on the prevalence of anxiety disorder among type 2 diabetes patients. Previous studies have been done, especially globally giving varied statistics based on the findings. This study was guided by The Transactional Model of Stress and Coping and the Cognitive Model of Anxiety disorder which provided the study with an understanding of the interaction between mental and physical health. The study was conceptualized through the interplay of three variables illustrating how the socio-demographic factors could contribute to the prevalence of anxiety disorder among type 2 diabetics. Being a quantitative study, Simple random sampling is best fitted to select the sample size which was extracted from a population of all adults of ages 18-65 years who have type 2 diabetes and attend Mbagathi Level V County Hospital in Nairobi, Kenya. Our own composed structured questionnaire and a standardized psychometric tool were used for data collection from 134 selected participants. Results revealed a high prevalence of anxiety disorder, with 47% of participants experiencing severe anxiety disorder and 51% mild anxiety disorder. Age (p=0.043) and gender (p=0.059) were significant socio-demographic factors, with older patients and males showing higher tendencies towards severe anxiety disorder. Significant risk factors included duration of diabetes diagnosis (p=0.045), initial reaction to diagnosis (p=0.006), and perceived challenges of living with diabetes (p=0.016). The study concludes that anxiety disorder is highly prevalent among T2DM patients, with sociodemographic and diabetes-related factors significantly influencing anxiety disorder levels. It is recommended to integrate routine mental health screenings and support into diabetes care to address this high prevalence of anxiety disorder.Daystar University, School of Applied Human Science
An Assessment of The Impact of Negative Campaign Messages on Voter Action among Engaged and Unengaged Voters in Kisumu and Uasin Gishu County
Master of Arts in CommunicationThis research sought to assess the persuasive impact of negative campaign messages (NCM) on the voter action (VA) of engaged and unengaged voters in Kisumu and Uasin-Gishu counties in Kenya. The study’s goals were to establish the persuasive impact of negative campaign messages on politically engaged and unengaged voters in Kisumu and Uasin-Gishu counties in Kenya, during the elections, determine the perception of negative campaign messages shared during elections among engaged and unengaged voters in Kisumu and Uasin-Gishu counties in Kenya, and compare the persuasive impact of negative campaign messages between politically engaged and unengaged voters during election campaigns in Kisumu and Uasin-Gishu counties in Kenya. The Elaboration Likelihood Model (ELM) theory served as the guiding theory accompanied by the descriptive research design. The ELM explained the influence of NCM on VA which occurred through central or peripheral tenets of the theory. Additionally, to understand the place of new and traditional media as a moderator variable, the study engaged the Uses and Gratifications Theory (UGT). The study sample population was 383 calculated from a population of 192755, using the Cochranes formula. The sample population was selected by incorporating the convenience sampling technique. Qualitative and quantitative data were gathered using two tools: questionnaires and an in-depth interview guide. The questionnaires were distributed among 383 respondents while ten key informants received the interview guides while observing the ethical standards required when conducting research. Quantitative data was analyzed through the SPSS software, version 28, while the qualitative data was analyzed through content and thematic analysis. Notably, quantitative data was presented in tables, while qualitative data was stated in prose and direct quotes. The findings of the study highlight that negative campaign messages (NCM) may or may not influence engaged or unengaged voters but are likely to influence voter action (VA). The findings mentioned above imply that politicians and political parties may continue engaging NCM as a persuasive strategy but not as a sole strategy. Following the findings, the study recommends using positive messages, such as focusing on policies, storytelling, and testimonials on what has been achieved. Additionally, the findings showcased that unengaged voters are not necessarily uninterested in political conversations but some intentionally shy away from the conversations to avoid enmity with friends and neighbors. Nonetheless, the respondents perceived NCM as destructive to political discourse and the voting process. Also, the hybridization of media in disseminating campaign messages is crucial because not all voters depend on SNSs to obtain political information. Still on the findings, the statistical difference between the engaged and unengaged voters provided a partially insightful data to necessitate comparison of the persuasive impact of NCM; hence, the study recommends use of a different sampling technique to get the perspective of unengaged voters. Conclusively, the study adds to literature on messaging in the field of political communication especially the African context. That is, the study enhances the credibility of corporate communication in politics by highlighting the need for strategic messaging to foster persuasion among the electorates during election campaigns.Daystar University, School of Communicatio
MCP 652X: Traumatology and Interventions
MCP 652X: Traumatology and InterventionsDaystar Universit
Effects of the Level of Support and The Development of Postpartum Depression among New Mothers in Select Health Centres in Kiambu County.
MASTER OF ARTS In Counselling PsychologyThe purpose of this study was to establish the impact of the level of support on the occurrence of postpartum depression (PPD) among new mothers in the selected health centers in Kiambu County, Kenya. The research goals included assessing the current prevalence of PPD, categorizing the manners by which support can be supplied, and discovering the relationship between support and PPD. This cross-sectional descriptive study adopted an integrated quantitative and qualitative data collection technique. A sample of 100 mothers who have given birth within the last year were selected using convenience sampling from select health facilities from Mary’s Helper of the Sick, Limuru Nursing Home, and Limuru Cottage Hospital. The Edinburgh Postnatal Depression Scale (EPDS) was used to formulate the diagnosis of PPD, and the Postpartum Social Support Questionnaire (PSSQ) was used to measure participants’ perceived levels of support. Data collection was carried out in September, 2024. Descriptive statistics and correlation analysis was used in data analysis and supervised by the social sciences/SPSS version 26 statistical package. The findings suggest that social support alone may be insufficient to address PPD in Kiambu County. The data shows that even with high levels of informational support (M = 2.10, SD = 0.96), cognitive symptoms of PPD remained prevalent (M = 2.49, SD = 0.93). This points to the importance of psychological factors and mental health awareness. The data reveals that 60% of mothers reported thoughts of self-harm to some degree, indicating a critical need for psychological intervention beyond social support
LLB 303: Copyright and Neighbouring Rights.
LLB 303: Copyright and Neighbouring RightsDaystar Universit