Md. Moyazzem Hossain, Faruq Abdulla, Mohammed Nazmul Huq
The integration of artificial intelligence (AI) into various sectors has undoubtedly brought about numerous benefits, from increased efficiency to innovative problem-solving. The growing influence of AI across several industries may help to achieve the sustainable development goals (SDGs). However, due to the AI revolution happening in industries across the globe, older employees are often confronted with significant hurdles in keeping pace with these changes. The threat of job displacement looms large as automation driven by AI encroaches upon routine tasks previously performed by human workers. Job insecurity, that is, worry of losing one's job encompasses anxiety, and uneasiness, and affects the mental health of employees. To address these challenges and empower older employees in the era of open AI, it is imperative that organizations implement targeted strategies tailored to their unique needs and circumstances. Employees use the opportunities for continued education provided to them with company support to prevent unwanted effects. organizations can create an inclusive and supportive environment where older employees are empowered to embrace the opportunities presented by AI while leveraging their experience and expertise to drive innovation and success.
{"title":"Challenges Faced by Older Employees in the Era of Open Artificial Intelligence and Strategies to Empower Them","authors":"Md. Moyazzem Hossain, Faruq Abdulla, Mohammed Nazmul Huq","doi":"10.1002/hcs2.70011","DOIUrl":"https://doi.org/10.1002/hcs2.70011","url":null,"abstract":"<p>The integration of artificial intelligence (AI) into various sectors has undoubtedly brought about numerous benefits, from increased efficiency to innovative problem-solving. The growing influence of AI across several industries may help to achieve the sustainable development goals (SDGs). However, due to the AI revolution happening in industries across the globe, older employees are often confronted with significant hurdles in keeping pace with these changes. The threat of job displacement looms large as automation driven by AI encroaches upon routine tasks previously performed by human workers. Job insecurity, that is, worry of losing one's job encompasses anxiety, and uneasiness, and affects the mental health of employees. To address these challenges and empower older employees in the era of open AI, it is imperative that organizations implement targeted strategies tailored to their unique needs and circumstances. Employees use the opportunities for continued education provided to them with company support to prevent unwanted effects. organizations can create an inclusive and supportive environment where older employees are empowered to embrace the opportunities presented by AI while leveraging their experience and expertise to drive innovation and success.</p>","PeriodicalId":100601,"journal":{"name":"Health Care Science","volume":"4 2","pages":"154-157"},"PeriodicalIF":0.0,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hcs2.70011","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143831482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
<p>In Japan, the declining birthrate, aging population, and the growing prevalence of nuclear families present major challenges for informal caregiving. These factors have led to an increase in caregiving among older adults, a phenomenon commonly referred to as “RouRou-kaigo” in Japanese. As of 2022, older adults account for 63.5% of informal care households in Japan [<span>1</span>].</p><p>Older informal caregivers frequently face a range of health issues, including depression, sleep disorders, and deteriorating dietary habits [<span>2, 3</span>]. The dietary habits of caregivers are critical as they influence both their own health and the well-being of care recipients [<span>4, 5</span>]. However, research on the dietary habits of older caregivers and their older care recipients is limited [<span>6, 7</span>].</p><p>This study aimed to identify factors associated with poor dietary variety and meal skipping among older caregivers and their care recipients, providing insights to improve their nutritional well-being.</p><p>We conducted a web-based survey via Cross Marketing Inc., which has 10.5 million registered monitors nationwide as of 2024 [<span>8</span>]. The inclusion criteria were: (1) individuals aged ≥ 65 years, (2) those without dementia or other psychiatric disorders, and (3) primary informal caregivers for older family members requiring long-term care or support. The survey was administered from June 18 to 24, 2024. The survey was distributed online to 830 eligible individuals, and 525 responded. A total of 395 respondents, all of whom routinely prepare meals for both themselves and their care recipients, were included in the final analysis.</p><p>Dependent variables assessed were caregivers' and care recipients' dietary variety and meal skipping. Caregivers' dietary variety was evaluated using the Dietary Variety Score [<span>9</span>], categorized as “at risk” (≤ 3) and “not at risk” (≥ 4). Care recipients' dietary variety was assessed by asking caregivers if they think the care recipient is eating a balanced diet. Meal skipping was assessed by asking if participants and care recipients ate three meals daily. Independent variables include caregivers' gender (women/men), economic status (satisfied/unsatisfied), support of caregiving (none/yes), and burden of care (low/high). Binomial logistic regression analysis was used to examine factors related to dietary habits among caregivers and care recipients. Statistical significance was set at <i>p</i> < 0.05. SPSS version 29.0 (IBM Corporation) was used for all analyses.</p><p>All participants provided informed consent, and this study was approved by the Institutional Review Board at Sendai Center for Dementia Care Research and Practices (24U01).</p><p>Twenty-seven percent of individuals recognized that their care recipients do not eat a balanced diet. There were 33.4% with poor dietary variety scores among older informal caregivers. Regarding meal skipping, 13.7% of care recipients an
{"title":"Dietary Challenges Among Older Men Caregivers: Implications for Health Interventions","authors":"Kumi Morishita-Suzuki","doi":"10.1002/hcs2.70005","DOIUrl":"https://doi.org/10.1002/hcs2.70005","url":null,"abstract":"<p>In Japan, the declining birthrate, aging population, and the growing prevalence of nuclear families present major challenges for informal caregiving. These factors have led to an increase in caregiving among older adults, a phenomenon commonly referred to as “RouRou-kaigo” in Japanese. As of 2022, older adults account for 63.5% of informal care households in Japan [<span>1</span>].</p><p>Older informal caregivers frequently face a range of health issues, including depression, sleep disorders, and deteriorating dietary habits [<span>2, 3</span>]. The dietary habits of caregivers are critical as they influence both their own health and the well-being of care recipients [<span>4, 5</span>]. However, research on the dietary habits of older caregivers and their older care recipients is limited [<span>6, 7</span>].</p><p>This study aimed to identify factors associated with poor dietary variety and meal skipping among older caregivers and their care recipients, providing insights to improve their nutritional well-being.</p><p>We conducted a web-based survey via Cross Marketing Inc., which has 10.5 million registered monitors nationwide as of 2024 [<span>8</span>]. The inclusion criteria were: (1) individuals aged ≥ 65 years, (2) those without dementia or other psychiatric disorders, and (3) primary informal caregivers for older family members requiring long-term care or support. The survey was administered from June 18 to 24, 2024. The survey was distributed online to 830 eligible individuals, and 525 responded. A total of 395 respondents, all of whom routinely prepare meals for both themselves and their care recipients, were included in the final analysis.</p><p>Dependent variables assessed were caregivers' and care recipients' dietary variety and meal skipping. Caregivers' dietary variety was evaluated using the Dietary Variety Score [<span>9</span>], categorized as “at risk” (≤ 3) and “not at risk” (≥ 4). Care recipients' dietary variety was assessed by asking caregivers if they think the care recipient is eating a balanced diet. Meal skipping was assessed by asking if participants and care recipients ate three meals daily. Independent variables include caregivers' gender (women/men), economic status (satisfied/unsatisfied), support of caregiving (none/yes), and burden of care (low/high). Binomial logistic regression analysis was used to examine factors related to dietary habits among caregivers and care recipients. Statistical significance was set at <i>p</i> < 0.05. SPSS version 29.0 (IBM Corporation) was used for all analyses.</p><p>All participants provided informed consent, and this study was approved by the Institutional Review Board at Sendai Center for Dementia Care Research and Practices (24U01).</p><p>Twenty-seven percent of individuals recognized that their care recipients do not eat a balanced diet. There were 33.4% with poor dietary variety scores among older informal caregivers. Regarding meal skipping, 13.7% of care recipients an","PeriodicalId":100601,"journal":{"name":"Health Care Science","volume":"4 2","pages":"158-160"},"PeriodicalIF":0.0,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hcs2.70005","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143831224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}