Does marital status and marital status change predict physical health in older adults?

2006 ◽  
Vol 36 (9) ◽  
pp. 1313-1320 ◽  
Author(s):  
KATE M. BENNETT
Keyword(s):  
Physical Health ◽  
Marital Status ◽  
Structural Equation ◽  
Service Use ◽  
Structural Equation Models ◽  
Status Change ◽  
Age And Gender ◽  
Time Courses ◽  
And Gender ◽  
The Impact

Background. Evidence for the effects of marital status and marital status change on physical health is equivocal.Method. Structural equation models examined whether marital status predicted physical health. Six groups were examined simultaneously: married (M); widowed (W); divorced (D); never married (NM); newly widowed (NW); and newly divorced (ND). There were four annual measures (T1–T4). Both NW and ND were married at T1, but had lost their partners by T2. Four physical health variables were examined: Problems, Limitations, Service use, and Self-rated health (SRH). Age and gender were included.Results. Previous health predicted future for all measures and for all groups. However, the specific strengths and time-courses varied between marital status groups and between health measures. The most marked patterns were associated with marital status change. Service use was influenced most strongly by NW, whilst Limitations was influenced by ND. Problems distinguished NW and ND from stable marital status groups but also from each other. SRH was influenced by W and not by recent marital status change. The effects of age and gender were modest and restricted to specific health variables and specific marital statuses.Conclusions. The results demonstrate that marital status and marital status change, in particular, influence health longitudinally. The impact of a change to divorced or to widowed status is not the same. No two health variables responded in the same way, suggesting that marital status has a differential effect on health.

Attachment points, team identification and sponsorship outcomes: evidence from the Indian Premier League

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Giridhar B. Kamath ◽  
Shirshendu Ganguli ◽  
Simon George
Keyword(s):  
Structural Equation ◽  
Group Analysis ◽  
Age Groups ◽  
Team Identification ◽  
Age And Gender ◽  
Content Type ◽  
Behavioural Intentions ◽  
Premier League ◽  
And Gender ◽  
The Impact

PurposeThis paper tests and validates a conceptual model linking the attachment points, team identification, attitude towards the team sponsors and the behavioural intentions in the context of Indian Premier League (IPL), while testing for the moderating effects of age and gender.Design/methodology/approachData were collected from 1,053 participants through both online and offline survey and then analyzed using exploratory factor analysis (EFA) and structural equation modelling (SEM).FindingsAttachment points influence the formation of team identification, which, in turn, affect the attitude towards the team sponsors. Attitude towards the team sponsors influence the behavioural intentions. Player attachment influences team identification the most. Age and gender have a moderating effect on the constructs of the study. Team identification in females is stronger because of attachment to sports, whereas males have stronger team identification based on player attachment. Males have a stronger intention to spread positive word of mouth (WOM) about sponsor products as compared to the female respondents. The younger age group of less than 21 years has more intention to spread positive WOM compared to the other age groups considered in the study.Practical implicationsThis study contributes towards sports sponsorship research and the paradigms of social identity and attachment theories. Moreover, it will also help the marketers (sponsors) in IPL to strategically market their brands.Originality/valueThis is the first study to investigate the impact of attachment points on sponsorship outcomes in the context of IPL. Further, it is also the first to investigate the purchase intentions and WOM for the team sponsors in IPL. The multi-group analysis results will provide insights into marketers to better understand IPL viewers' segments and their behaviour.

scholarly journals The Impact of Mandate Contract and Self-Employment on Workers’ Health—Evidence from Poland

2021 ◽  
Vol 18 (6) ◽  
pp. 3138
Author(s):  
Katarzyna Piwowar-Sulej ◽  
Dominika Bąk-Grabowska
Keyword(s):  
Mental Health ◽  
Physical Health ◽  
Negative Impact ◽  
Length Of Service ◽  
Age And Gender ◽  
Self Employment ◽  
Research Findings ◽  
And Gender ◽  
Interviewing Technique ◽  
The Impact

The purpose of the study is to analyze the correlations between two clearly defined forms of non-standard employment (self-employment and mandate contract) and workers’ health. The study also addressed such variables as gender, age, length of service, and the reason for employment (voluntary vs. non-voluntary). The research was carried out in Poland in 2020 using the CATI method (a telephone interviewing technique), and it covered a sample of 200 workers (100 self-employed and 100 working under a mandate contract). Most of the respondents declared that their form of employment did not affect their health. However, the statistical analysis showed significant differences in health status between the self-employed and those working on a mandate contract. Self-employed respondents experienced mental health impacts more often, whereas those working under a mandate contract more frequently declared that their physical health was affected. The length of service was only important for mental health, having a negative impact on it. The respondents’ age and gender turned out to be statistically insignificant, which is in contradiction to many previous research findings. The inability to choose one’s form of employment resulted in worse physical health. These findings demonstrate the importance of certain variables that were not prioritized in previous studies and emphasize the need to clearly define what non-standard and precarious forms of employment are, as well as revealing new correlations between the studied categories and providing directions for further research.

scholarly journals Age and Gender Measurement Noninvariance of the Adult ADHD Self-Report Scale Screener

2018 ◽  
Vol 25 (3) ◽  
pp. 403-413
Author(s):  
K. Anne Zhang ◽  
Kristian E. Markon
Keyword(s):  
Structural Equation ◽  
Adult Adhd ◽  
Structural Equation Models ◽  
Factor Model ◽  
Psychiatric Morbidity ◽  
Self Report ◽  
Age And Gender ◽  
Attentional Deficits ◽  
Survey Results ◽  
And Gender

Objective: The nature and form of demographics-related differences in ADHD self-reported symptoms across adulthood is currently poorly understood. This study explored the psychometrics of the Adult ADHD Self-Report Scale Screener (ASRS-6), including its age- and gender-related measurement invariance. Method: Structural equation models were used to analyze adult data—aged 16 to 95 years—from the 2007 British Adult Psychiatric Morbidity Survey. Results: The three-factor model (disorganization, inattention, hyperactivity) outperformed one- and two-factor models. Self-reported attentional deficits may be more pathognomonic of overall self-reported ADHD in adults than other symptoms. All items exhibited age measurement noninvariance while only a subset exhibited gender measurement noninvariance. Individuals who are male and younger tend to have lower thresholds for endorsement for ASRS-6 items than individuals who are female and older. Conclusion: The ASRS-6 does not appear to be unidimensional, and self-reported ASRS-6 symptomatology changes in meaning with age.

Age and gender differences in socially aversive (“dark”) personality traits

2021 ◽  
pp. 089020702098843
Author(s):  
Johanna Hartung ◽  
Martina Bader ◽  
Morten Moshagen ◽  
Oliver Wilhelm
Keyword(s):  
Personality Traits ◽  
Structural Equation ◽  
Age Groups ◽  
Dark Triad ◽  
Equation Modeling ◽  
Model Parameters ◽  
Age And Gender ◽  
Measurement Models ◽  
And Gender ◽  
Latent Means

The strong overlap of personality traits discussed under the label of “dark personality” (e.g., psychopathy, spitefulness, moral disengagement) endorses a common framework for socially aversive traits over and beyond the dark triad. Despite the rapidly growing research on socially aversive traits, there is a lack of studies addressing age-associated differences in these traits. In the present study ( N = 12,501), we investigated the structure of the D Factor of Personality across age and gender using local structural equation modeling, thereby expressing the model parameters as a quasi-continuous, nonparametric function of age. Specifically, we evaluated loadings, reliabilities, factor (co-)variances, and means across 35 locally weighted age groups (from 20 to 54 years), separately for females and males. Results indicated that measurement models were highly stable, thereby supporting the conceptualization of the D factor independent of age and gender. Men exhibited uniformly higher latent means than females and all latent means decreased with increasing age. Overall, D and its themes were invariant across age and gender. Therefore, future studies can meaningfully pursue causes of mean differences across age and between genders.

scholarly journals Assessing the Impact of Multi-Morbidity and Related Constructs on Patient Reported Safety in Primary Care: Generalized Structural Equation Modelling of Observational Data

2021 ◽  
Vol 10 (8) ◽  
pp. 1782
Author(s):  
Ignacio Ricci-Cabello ◽  
Aina María Yañez-Juan ◽  
Maria A. Fiol-deRoque ◽  
Alfonso Leiva ◽  
Joan Llobera Canaves ◽  
...  
Keyword(s):  
Primary Care ◽  
Patient Safety ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Cross Sectional ◽  
Morbidity Burden ◽  
Patient Reported ◽  
Patient Complexity ◽  
Complex Relationships ◽  
The Impact

We aimed to examine the complex relationships between patient safety processes and outcomes and multimorbidity using a comprehensive set of constructs: multimorbidity, polypharmacy, discordant comorbidity (diseases not sharing either pathogenesis nor management), morbidity burden and patient complexity. We used cross-sectional data from 4782 patients in 69 primary care centres in Spain. We constructed generalized structural equation models to examine the associations between multimorbidity constructs and patient-reported patient safety (PREOS-PC questionnaire). These associations were modelled through direct and indirect (mediated by increased interactions with healthcare) pathways. For women, a consistent association between higher levels of the multimorbidity constructs and lower levels of patient safety was observed via either pathway. The findings for men replicated these observations for polypharmacy, morbidity burden and patient complexity via indirect pathways. However, direct pathways showed unexpected associations between higher levels of multimorbidity and better safety. The consistent association between multimorbidity constructs and worse patient safety among women makes it advisable to target this group for the development of interventions, with particular attention to the role of comorbidity discordance. Further research, particularly qualitative research, is needed for clarifying the complex associations among men.

scholarly journals Exploring Impact of Age and Gender on Sentiment Analysis Using Machine Learning

Electronics ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 374 ◽  
Author(s):  
Sudhanshu Kumar ◽  
Monika Gahalawat ◽  
Partha Pratim Roy ◽  
Debi Prosad Dogra ◽  
Byung-Gyu Kim
Keyword(s):  
Machine Learning ◽  
Sentiment Analysis ◽  
Short Term Memory ◽  
Age Groups ◽  
Modern World ◽  
Support Vector ◽  
Digital Information ◽  
Age And Gender ◽  
And Gender ◽  
The Impact

Sentiment analysis is a rapidly growing field of research due to the explosive growth in digital information. In the modern world of artificial intelligence, sentiment analysis is one of the essential tools to extract emotion information from massive data. Sentiment analysis is applied to a variety of user data from customer reviews to social network posts. To the best of our knowledge, there is less work on sentiment analysis based on the categorization of users by demographics. Demographics play an important role in deciding the marketing strategies for different products. In this study, we explore the impact of age and gender in sentiment analysis, as this can help e-commerce retailers to market their products based on specific demographics. The dataset is created by collecting reviews on books from Facebook users by asking them to answer a questionnaire containing questions about their preferences in books, along with their age groups and gender information. Next, the paper analyzes the segmented data for sentiments based on each age group and gender. Finally, sentiment analysis is done using different Machine Learning (ML) approaches including maximum entropy, support vector machine, convolutional neural network, and long short term memory to study the impact of age and gender on user reviews. Experiments have been conducted to identify new insights into the effect of age and gender for sentiment analysis.

scholarly journals Estimation of liver size for liver transplantation: The impact of age and gender

2004 ◽  
Vol 10 (5) ◽  
pp. 678-685 ◽  
Author(s):  
Alexander Choukèr ◽  
André Martignoni ◽  
Martin Dugas ◽  
Wolfgang Eisenmenger ◽  
Rolf Schauer ◽  
...  
Keyword(s):  
Liver Transplantation ◽  
Liver Size ◽  
Age And Gender ◽  
And Gender ◽  
The Impact

Bargaining over Remittances in Tajik Extended Families

2021 ◽  
Vol 8 (3) ◽  
pp. 229-250
Author(s):  
Sabiha Yeasmin Rosy ◽  
Fatemeh Nejati
Keyword(s):  
International Migration ◽  
Labor Migration ◽  
Gender Norms ◽  
Transnational Families ◽  
Age And Gender ◽  
Extended Families ◽  
And Gender ◽  
The Impact ◽  
Gender Specific

Abstract This study investigates the impact of male labor migration upon wives living among their husbands’ extended families in Tajikistan. It studies the risks and choices available to such wives in bargaining for remittances, with a particular focus on the risks that daughters-in-law (kelin in Tajik) undertake when negotiating remittances with their mothers-in-law. This paper explores age and gender-specific norms in Tajik transnational families and their minimal opportunities for kelins to bargain and negotiate the risks associated with making “claims” on remittances by using Deniz Kandiyoti’s “patriarchal bargain” and Bina Agarwal’s household bargain framework, as well as extensive fieldwork conducted in Tajikistan. The study concludes that international migration and remittances have had a complex impact on gender norms in Tajikistan, with emerging new forms of passive negotiation by kelins unlikely to undermine patriarchal gender norms in their favor.

Considering the Impact of Early Trauma on Coping and Pathology to Predict Posttraumatic Growth Among 9-1-1 Telecommunicators

2017 ◽  
Vol 35 (21-22) ◽  
pp. 4709-4731 ◽  
Author(s):  
Melissa J. London ◽  
Mary C. Mercer ◽  
Michelle M. Lilly
Keyword(s):  
Posttraumatic Growth ◽  
Childhood Trauma ◽  
Indirect Effect ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Trauma Exposure ◽  
First Responders ◽  
Lifetime Trauma ◽  
Early Trauma ◽  
The Impact

Recent research has demonstrated that first responders may report posttraumatic growth (PTG), positive psychological changes that arise in the aftermath of a trauma. Less is known regarding the perception of PTG among 9-1-1 telecommunicators, a group of first responders exposed to a high degree of lifetime trauma, including duty-related trauma as well as early and non-duty-related trauma. Moreover, the impact of childhood trauma on the processes involved in the perception of growth is less clear. While some distress is needed to facilitate processes that lead to the perception of PTG, it has been suggested that positive associations between PTG and pathology reflect avoidant coping or represent an illusory component of PTG. Structural equation models were used to examine early trauma exposure, coping, and pathology in predicting PTG among 9-1-1 telecommunicators ( N = 788). In separate models using active and avoidant forms of coping, childhood trauma exposure had an indirect effect on PTG through coping. In a model considering both forms of coping, childhood trauma had an indirect effect on PTG through psychopathology, but not through coping. The results show that early trauma exposure leads to the perception of growth through pathways indicative of both adaptive and maladaptive coping processes.

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