scholarly journals Psychological Predictors of Mortality Awareness: Time Perspective, Contentment With Age and Paternal Antipathy and Neglect

2020 ◽  
pp. 003022282094406
Author(s):  
Therese C. F. Willoch ◽  
Mark R. McDermott

Much research has focused upon the association between mortality awareness and mental ill-health. In this study we attempt to explore positive as well as negative psychological concomitants of mortality awareness. 170 participants were recruited in an online questionnaire study, measuring seven independent variables - marginalisation, childhood adversity, rebelliousness, time perspective, attitudes toward age and stage of life, health attitudes and demographics - and five dependent variables, specifically mortality legacy, mortality fearfulness, mortality acceptance, mortality disempowerment and mortality disengagement. Several significant bivariate associations were found. Follow-up regression analysis observed combined effects of variables accounting for 28% of variance in mortality legacy, 27% for mortality fearfulness, 13% for mortality acceptance, 42% for mortality disempowerment and 25% for mortality disengagement. Time perspective, contentment with age, and paternal antipathy and neglect were the most notable independent predictors. It was concluded that attitudes towards health, stage of life and childhood experiences significantly predict mortality awareness.

Author(s):  
Hirnissa M.T ◽  
Zariyawati M.A2 ◽  
Fadilla R

This study highlights the key predictors that influence Malaysia’s cashless society rate. Unified Theory of Acceptance and Usage of Technology (UTAUT) was adopted in this research, and main constructs such as speed of transaction, personal security, convenience and safer, social influences, perceived usefulness, compatibility, business readiness, and financial costs. The sample size for this study is 357 Malaysian aged 18 years old and above. There are two generations under 25 years old and below categorized as Generations Z, while age 25 years old and above are categorized as Older Generations. Primary data had been used and collected through an online questionnaire method. Using SPSS software, regression analysis results showed that four of the independent variables had a significant relationship with the dependent variables. The speed of transaction, convenience and safer, perceived usefulness, and compatibility did influence Malaysian towards cashless society adoption.


1990 ◽  
Vol 4 (4) ◽  
pp. 377-392 ◽  
Author(s):  
Fugen Neziroglu ◽  
Jeffrey Neuman

Obsessions are considered more difficult to treat than compulsions because of their intangible and subjective nature and the special problems which they pose for gaining stimulus control. This study applied a single subject design with repeated measures for each of six patients. Exposure to imagery, thought stopping, and rational-emotive therapy (RET) were the independent variables. Three separate treatment phases were employed, which consisted of baseline, intervention, and follow-up. The dependent variables were self-reports of the frequency, intensity and duration of obsessions. For three patients RET appeared to be an effective strategy. For one of the three exposure was effective but further gains were made during RET. Three patients did not respond to any of the treatments. It appears that RET may be effective with obsessional patients who have historically been quite resistant to behavioral treatment. It seems that thought stopping is an ineffective approach and that exposure needs to be investigated further.


Author(s):  
Walid El Ansari ◽  
Abdul Salam

Virtually no studies appraised the co-use of alcohol, tobacco, and other drug (ATOD) among Finn undergraduates. We assessed the associations between sociodemographic, health, academic, policy, and lifestyle characteristics (independent variables); and individual, multiple and increasing ATOD use (dependent variables) using regression analyses. Data were collected by online questionnaire at the University of Turku, Finland (1177 students). Roughly 22% of the sample smoked, 21% ever used illicit drug/s, 41% were high frequency drinkers, and 31.4%, 16.3%, and 6.7% reported 1, 2, or 3 ATOD behaviors respectively. Individual ATOD use was significantly positively associated with the use of the other two substances [adjusted odds ratio (Adj OR range 1.893–3.311)]. Multiple ATOD use was negatively associated with being single (p = 0.021) or agreeing with total smoking or alcohol ban policy on campus (p < 0.0001 for each); but positively associated with not living with parents (p = 0.004). Increasing ATOD behaviors were significantly less likely among those agreeing with total smoking or alcohol ban policy on campus (p range 0.024 to <0.0001). Demographics significant to either individual, multiple, or increasing ATOD use included males, being single, not living with their parents during semesters, and to some extent, religiosity. Age, depressive symptoms, perceived stress, self-rated health, health awareness, income sufficiency, and academic variables were not associated with individual, multiple, or increasing ATOD use. Education and prevention efforts need to reinforce abstinence from ATOD, highlight their harmful outcomes, and target risk groups highlighted above. University strategies should be part of the wider country-wide successful ATOD control policies.


2018 ◽  
Vol 5 (1) ◽  
Author(s):  
Erik Wardhana, MM.

This study entitled "Analysis of Effect of Climate Organization and Competence Againt Employee PT. Hutama Karya ". The purpose of this study was to obtain information on the relationship between the free variable that organizational climate (X1) and competence (X2) with the dependent variable is employee performance (Y), either partially or simultaneously, This study used survey research methods with the correlational approach and predictive, which aims for the relationship and influence between independent and dependent variables. The sampling technique can be done randomly (simple random sampling) of 852 employees, which is considered to resprentatif is 89 people. And to solve problems, to analyze and examine the relationship and influence between the independent variables on the dependent variable used models kausalistik through regression analysis with SPSS 14.0


Author(s):  
Yesi Mutia Basri ◽  
Rosliana Rosliana

This research aim to examine the influence of personal background, political background, and council budget knowledge towards the role of DPRD on region financial control. This research is motivated by the fact that individual background will effect to individual behavior on political activity. Dependent variables in this research are personal background, political background, and council budges knowledge towards the role of DPRD on region financial control Independent variables are the role of DPRD on region financial control in planning, implementing, and responsibility steps. The data in this research consist of primary data that taken from questionnaires distributed directly to respondents. The collected are from 34 Respondents that members of DPRD at Pekanbaru. Hypothesis of this research are examine by using Multivariate Analysis of Variances (MANOVA). The result of this research HI personal background political background and budget knowledge have significant influence toward the role of DPRD on region financial control in planning steps.H2 personal background, politico I background and budget knowledge have no significant influence toward the role of DPRD on region financial control in Implementing steps. H3 personal background political background and budget knowledge have no significant influence toward the role of DPRD on region financial control in Controlling steps.


2021 ◽  
Vol 11 (11) ◽  
pp. 5072
Author(s):  
Byung-Kook Koo ◽  
Ji-Won Baek ◽  
Kyung-Yong Chung

Traffic accidents are emerging as a serious social problem in modern society but if the severity of an accident is quickly grasped, countermeasures can be organized efficiently. To solve this problem, the method proposed in this paper derives the MDG (Mean Decrease Gini) coefficient between variables to assess the severity of traffic accidents. Single models are designed to use coefficient, independent variables to determine and predict accident severity. The generated single models are fused using a weighted-voting-based bagging method ensemble to consider various characteristics and avoid overfitting. The variables used for predicting accidents are classified as dependent or independent and the variables that affect the severity of traffic accidents are predicted using the characteristics of causal relationships. Independent variables are classified as categorical and numerical variables. For this reason, a problem arises when the variation among dependent variables is imbalanced. Therefore, a harmonic average is applied to the weights to maintain the variables’ balance and determine the average rate of change. Through this, it is possible to establish objective criteria for determining the severity of traffic accidents, thereby improving reliability.


2021 ◽  
Vol 43 (2) ◽  
pp. 177-179 ◽  
Author(s):  
Chittaranjan Andrade

Students without prior research experience may not know how to conceptualize and design a study. This article explains how an understanding of the classification and operationalization of variables is the key to the process. Variables describe aspects of the sample that is under study; they are so called because they vary in value from subject to subject in the sample. Variables may be independent or dependent. Independent variables influence the value of other variables; dependent variables are influenced in value by other variables. A hypothesis states an expected relationship between variables. A significant relationship between an independent and dependent variable does not prove cause and effect; the relationship may partly or wholly be explained by one or more confounding variables. Variables need to be operationalized; that is, defined in a way that permits their accurate measurement. These and other concepts are explained with the help of clinically relevant examples.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 408-408
Author(s):  
Meeryoung Kim

Abstract Longevity is increasing in what is called the centenarian society. However, the average retirement age of Korea is the lowest among OECD countries. Because of increasing longevity, older adults need activities after retirement. Volunteering can be a substitute that allows Korean older adults to find a social identity. This study examined older adults’ volunteering and how many kinds of volunteering affected relational satisfaction differently. This study used the 6th additional wave of the Korean Retirement and Income Study (2016). The target population of this study was ages over 60 and the sample size was 280. For data analysis, multiple regressions were used. Demographic variables were controlled. As for independent variables, reasons for volunteering whether they were motivated for self or for others were used. For dependent variables, relational satisfaction, such as family, human relation and overall life satisfaction was used. Volunteers’ health is an important factor for relational satisfaction. If volunteering was self-motivated, satisfaction of both family and human relations were negatively affected. Reason for others also affected satisfaction of family and human relations negatively. Volunteering initiated by others increased satisfaction of family and human relations. Doing more than one kind of volunteering affected both satisfaction of family and human relations. For overall life satisfaction, the effect of volunteering for oneself was lower than other reasons. These findings implied that reasons for volunteering affected relational satisfaction differently. In addition, the activities of volunteering, such as taking part in one or more had different effects.


Author(s):  
Andrés Losada-Baltar ◽  
José Ángel Martínez-Huertas ◽  
Lucía Jiménez-Gonzalo ◽  
María del Sequeros Pedroso-Chaparro ◽  
Laura Gallego-Alberto ◽  
...  

Abstract Objectives To longitudinally analyze the correlates of loneliness and psychological distress in people exposed to the coronavirus disease 2019 (COVID-19) lockdown, exploring the effects of age and self-perceptions of aging (SPA). Methods A longitudinal follow-up of 1,549 participants was carried out at four different time points during the lockdown in Spain. Questions about the risk of COVID-19, age, SPA, family and personal resources, loneliness, and psychological distress were measured. Results Changes in loneliness showed a linear longitudinal trajectory through time, but changes in psychological distress showed a U-shaped relationship with time. Age was a relevant predictor of differences in distress, with older people reporting less psychological distress. Change in both dependent variables was related to change in different predictors like family and personal variables and also to negative SPA. Discussion In a stressful situation such as the COVID-19 pandemic, older adults may be more resilient to adverse mental health outcomes by using more adaptive resources that strengthen their resilience. Support is provided for the importance of stereotyped views of the aging process that, independently of chronological age, may put people at risk of suffering adverse mental health outcomes such as loneliness and psychological distress in times of crisis.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Darina Czamara ◽  
Elleke Tissink ◽  
Johanna Tuhkanen ◽  
Jade Martins ◽  
Yvonne Awaloff ◽  
...  

AbstractLasting effects of adversity, such as exposure to childhood adversity (CA) on disease risk, may be embedded via epigenetic mechanisms but findings from human studies investigating the main effects of such exposure on epigenetic measures, including DNA methylation (DNAm), are inconsistent. Studies in perinatal tissues indicate that variability of DNAm at birth is best explained by the joint effects of genotype and prenatal environment. Here, we extend these analyses to postnatal stressors. We investigated the contribution of CA, cis genotype (G), and their additive (G + CA) and interactive (G × CA) effects to DNAm variability in blood or saliva from five independent cohorts with a total sample size of 1074 ranging in age from childhood to late adulthood. Of these, 541 were exposed to CA, which was assessed retrospectively using self-reports or verified through social services and registries. For the majority of sites (over 50%) in the adult cohorts, variability in DNAm was best explained by G + CA or G × CA but almost never by CA alone. Across ages and tissues, 1672 DNAm sites showed consistency of the best model in all five cohorts, with G × CA interactions explaining most variance. The consistent G × CA sites mapped to genes enriched in brain-specific transcripts and Gene Ontology terms related to development and synaptic function. Interaction of CA with genotypes showed the strongest contribution to DNAm variability, with stable effects across cohorts in functionally relevant genes. This underscores the importance of including genotype in studies investigating the impact of environmental factors on epigenetic marks.


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