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Qualitative Data is meant for the novice researcher who needs guidance on what specifically to do when faced with a sea of information. It takes readers through the qualitative research process, beginning with an examination of the basic philosophy of qualitative research, and ending with planning and carrying out a qualitative research study. It provides an explicit, step-by-step procedure that will take the researcher from the raw text of interview data through data analysis and theory construction to the creation of a publishable work. The volume provides actual examples based on the authors' own work, including two published pieces in the appendix, so that readers can follow examples for each step of the process, from the project's inception to its finished product. The volume also includes an appendix explaining how to implement these data analysis procedures using NVIVO, a qualitative data analysis program.

Dementia is a progressive neurodegenerative condition that profoundly impacts the lives of individuals diagnosed and their caregivers effective dementia care requires a holistic approach that incorporates medical, psychological, and social dimensions Background Dementia is a multifaceted condition that not only impairs cognitive function but also has significant psychosocial consequence for both individuals with dementia and their caregivers. Psychological factor such as social support, emotional wellbeing, and the caregiving environment –have been shown to influence diseases progression, quality of life, and care outcomes. Despite the growing recognition of these factors, comprehensive care models that addresses both medical and psychosocial aspects of dementia remain under developed in many settings. Methods A systematic review of qualitative and quantitative studies was conducted to examine the relationship between psychosocial factors and dementia care. Data were gathered from peer reviewed articles published between 2010 and 2023, focusing on studies that investigated the impact of social support networks, caregiver burden, depression, social isolation, and community engagement on Dementia progression and caregiving outcomes. Key interventions and models of care were also assessed to identify effective strategies for integrating psychosocial support in to dementia care. Results The review found that strong social support networks and effective caregiver training were associated with improved emotional wellbeing and reduce caregiver burden. Social isolation and lack of community engagement, however, were linked to faster cognitive decline and worsened quality of life in individual with dementia person centered care approaches, which emphasis the emotional and social needs of both patients and caregivers, demonstrated positive effects in improving care satisfaction and reducing anxiety and depression among caregivers. Additionally, interventions targeting the psychosocial needs of caregivers, such as support groups and counseling, were shown to mitigate the negative impact of caregiving. Conclusion Psychosocial factors are crucial to the effective management of dementia and addressing them in care models can significantly improve both quality of care and quality of life for individuals with dementia and their families. Integrated care models that prioritize social support, caregiver wellbeing, and community involvement should be adapted more widely in dementia care settings. Future should focus on developing and testing interventions that combine psychosocial support with medical care to creat more holistic, person ‐centered dementia care approaches.

Background Approximately one in four older adults in the United States experience social isolation, and many report feeling lonely. Although social isolation and loneliness are associated with an increased risk of cognitive impairment and dementia, it is unclear how this association differs in rural and urban areas. This study examines the differences in the relationship between social isolation and loneliness with cognitive impairment among older adults living in rural and urban areas. Method We conducted a cross‐sectional study on Health and Retirement Study participants aged 65 and above (n = 2,448) using datasets from the 2020 interviews. Measures were the 27‐item HRS cognition scale, five‐item social isolation scale, UCLA loneliness scale, and Center for Epidemiological Studies Depression scale. Weighted descriptive statistics and logistic regression models were used to assess associations between cognition, loneliness, and social isolation, with stratification by rurality. Result Compared to those with normal cognition, older adults with cognitive impairment were significantly lonelier (mean 1.61 vs. 1.49, p <0.0001) and more socially isolated (mean 2.83 vs. 2.26, p <0.0001). Logistic regression indicated that both loneliness (OR=1.76, 95% CI: 1.38–2.24) and social isolation (OR=1.90, 95% CI: 1.64–2.20) were significantly associated with cognitive impairment, even after adjusting for sociodemographic factors and depression. Rural‐urban stratified analyses revealed that loneliness was significantly associated with cognitive impairment in urban areas (OR=1.72, 95% CI: 1.18–2.51) but not in rural areas. At the same time, social isolation remained significant in both settings, with a stronger effect in rural areas. While men had significantly higher odds of cognitive impairment than women in both rural and urban areas, Black participants in rural areas had notably higher odds of cognitive impairment compared to their White counterparts (OR=5.96, 95% CI: 2.56–13.90). Conclusion Loneliness and social isolation are significantly associated with cognitive impairment in older adults, with notable differences by rurality. Tailored interventions addressing psychosocial risks in urban and rural contexts are essential to promote cognitive health in aging populations.

In the first book devoted exclusively to the contentious politics of autism, noted political scientist and public policy expert John J.Pitney, Jr., explains how autism has evolved into a heated political issue disputed by scientists, educators, social workers, and families.

Objectives Knowledge is lacking on the interaction between fear of movement (FOM) and work‐related physical and psychosocial factors in the development and persistence of musculoskeletal disorders (MSDs). Methods In this cross‐sectional study, 305 healthcare workers from several Belgian hospitals filled out a questionnaire including sociodemographic factors, work‐related factors (social support, autonomy at work, workload, and physical job demands), FOM, and MSDs for different body regions during the past year. Path analysis was performed to investigate (1) the association between the work‐related factors, FOM and MSDs, and (2) the moderating role of FOM on the association between the work‐related factors and MSDs among healthcare workers. Results Complaints were most frequently located at the neck–shoulder region (79.5%) and lower back (72.4%). Physical job demands (odds ratio [OR] 2.38 and 95% confidence interval [CI] 1.52–3.74), autonomy at work (OR 1.64 CI [1.07–2.49]) and FOM (OR 1.07 CI [1.01–1.14] and OR 1.12 CI [1.06–1.19]) were positively associated with MSDs. Healthcare workers who experienced high social support at work (OR 0.61 CI [0.39–0.94]) were less likely to have MSDs. Fear of movement interacted negatively with workload (OR 0.92 CI [0.87–0.97]) and autonomy at work (OR 0.94 CI [0.88–1.00]) on MSDs. Conclusions Work‐related physical and psychosocial factors as well as FOM are related to MSDs in healthcare workers. FOM is an important moderator of this relationship and should be assessed in healthcare workers in addition to work‐related physical and psychosocial factors to prevent or address MSDs.

This study aimed to investigate the importance of combined psychosocial work factors for the risk of long-term sickness absence (LTSA). We followed 69 371 employees in the general working population (Work Environment and Health in Denmark study 2012-2018), without LTSA during the preceding year, for up to two years in the Danish Register for Evaluation of Marginalization. Using k-means cluster analyses and weighted Cox-regression controlling for age, gender, survey year, education, health-behaviors, and physical work demands, we determined the prospective association of 11 identified clusters - based on the combination of nine psychosocial work factors (recognition, quantitative demands, work pace, emotional demands, influence, justice, role clarity, role conflicts, and support from colleagues) - with the risk of LTSA. During 124 045 person-years of follow-up, 6197 employees developed LTSA (weighted 8.5%). Using the cluster with the most favorable psychosocial scores as reference, clusters scoring poorly on several combined psychosocial factors had increased risk of LTSA. The cluster scoring poor on all nine psychosocial factors exhibited the highest risk [hazard ratio (HR) 1.68, 95% confidence interval (CI) 1.45-1.94]. Scoring poorly on one or two psychosocial factors did not increase the risk of LTSA when combined with favorable scores on the other psychosocial factors. Interaction analyses showed that gender, but not age and education, modified the association between cluster and LTSA. Scoring poorly on several combined psychosocial work factors plays an important role in the risk of LTSA. Scoring favorably on several psychosocial factors outweighed the potentially adverse effects of scoring poorly on one or two factors.

This study tested a conceptual psychosocial model of self-rated successful aging (SRSA) with HIV. Our sample (n = 356) included older women living with HIV (OWLH): average age 56.5 years, 73% Black. SRSA was assessed using a research-based 10-point scale (higher scores = better outcomes). We conducted adjusted structural equation modeling. The global model included two latent variables—protective attributes (composite of positive psychosocial factors: resilience, personal mastery, optimism, spirituality) and psychological distress (composite of negative psychosocial factors: anxiety, depression, loneliness, internalized HIV-related stigma). The model showed good fit (χ2(58) = 76, p = 0.06; RMSEA = 0.03; CFI = 0.99). Increased protective attributes were associated with improved SRSA both directly and mediated by improved coping with stress. While psychological distress did not have a direct effect on SRSA, it was indirectly associated with worsened SRSA via diminished protective attributes and via decreased coping with stress. Findings suggest the need for interventions enhancing positive and mitigating negative psychosocial factors in OWLH.

The aetiology of dual harm (co-occurring self-harm and violence towards others) is poorly understood because most studies have investigated self-harm and violence separately. We aimed to examine childhood risk factors for self-harm, violence, and dual harm, including the transition from engaging in single harm to dual harm. Data from the Avon Longitudinal Study of Parents and Children, a UK-based birth cohort study, were used to estimate prevalence of self-reported engagement in self-harm, violence, and dual harm at ages 16 and 22 years. Risk ratios were calculated to indicate associations across various self-reported childhood risk factors and risks of single and dual harm, including the transition from single harm at age 16 years to dual harm at age 22. At age 16 years, 18.1% of the 4176 cohort members had harmed themselves, 21.1% had engaged in violence towards others and 3.7% reported dual harm. At age 22 the equivalent prevalence estimates increased to 24.2, 25.8 and 6.8%, respectively. Depression and other mental health difficulties, drug and alcohol use, witnessing self-harm and being a victim of, or witnessing, violence were associated with higher risks of transitioning from self-harm or violence at age 16 to dual harm by age 22. Prevalence of dual harm doubled from age 16 to 22 years, highlighting the importance of early identification and intervention during this high-risk period. Several childhood psychosocial risk factors associated specifically with dual harm at age 16 and with the transition to dual harm by age 22 have been identified.

In this elegantly written book, Jerome Kagan melds the history of the field of psychology during the past 50 years with the story of his own research efforts of the same period and an analysis of what he terms \"the currently rocky romance between psychology and biology.\" As Kagan unwinds his own history, he reveals the seminal events that have shaped his career and discusses how his assumptions have changed. With full appreciation for the contributions to psychology of history, philosophy, literature, and neuroscience, he approaches a wide range of fascinating topics, including:· the abandonment of orthodox forms of behaviorism and psychoanalysis· the forces that inspired later-twentieth-century curiosity about young children· why B. F. Skinner chose to study psychology· why the study of science less often ignites imaginations today· our society's obsession with erotic love· the resurgence of religious fanaticism and the religious RightEmbedded in Kagan's discussions is a rejection of the current notion that a mature neuroscience will eventually replace psychology. He argues that a complete understanding of brain is not synonymous with a full explanation of mind, and he concludes with a brief prediction of the next five decades in the field of psychology.

Objectives The objective of this study was to review longitudinal and intervention studies examining the association between psychosocial work characteristics (eg, job demands, job control, and social support) and sleep quality. Our main research aims were to examine whether (i) psychosocial work characteristics are a predictor of sleep quality, and (ii) sleep quality, in turn, is a predictor of psychosocial work characteristics. Methods A systematic literature search resulted in 20 relevant papers, of which 16 were longitudinal studies and 3 were intervention studies (1 study was discussed in separate papers). To quantify results, we assessed the strength of evidence of all examined associations and subsequently evaluated the studies' research quality based on predefined quality criteria. Results One intervention and three longitudinal studies were categorized as being of high-quality. In longitudinal studies, we found consistent and strong evidence for a negative relation between job demands and sleep quality as well as evidence for a positive relation between job control and sleep quality. Other psychosocial work characteristics were examined in an insufficient number of (high-quality) studies. Moreover, both intervention studies as well as studies investigating reversed and reciprocal relations are rare, which further limits the possibility of drawing conclusions on causality. Conclusions Based on the current literature, it can be concluded that high job demands and low job control are predictors of poor sleep quality. More high-quality research is needed to examine the possible causal relationship between these and other psychosocial work characteristics with sleep quality, in addition to research focusing on reversed and reciprocal relations.