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Ramey HL, Lawford HL, Berardini Y, Mahdy SS, Khanna N, Ross MD, von Hugo TK. Safer spaces in youth development programs and health in Canadian youth. Health Promot Int 2023; 38:daad166. [PMID: 38091620 DOI: 10.1093/heapro/daad166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2023] Open
Abstract
Engagement in youth programs is a potential means to promote health and well-being across populations of young people. Safer spaces in these youth programs are likely critical in fostering positive health outcomes, but current research on the links between safer spaces and health is limited. In this exploratory study, we examined links between program safety in youth development programs and minoritized status, and health-related quality of life (HRQoL) and psychosomatic health complaints. Participants (N = 282; Mean age = 16.97 years; SD = 2.97) self-identified across various minority status groups, including LGBTQ (30%) and a range of perceived income levels. We tested a statistical model in which safer spaces, LGBTQ status and perceived income predicted HRQoL and health complaints in youth development program participants. LGBTQ status and lower perceived income were related to lower HRQoL and more health complaints, and safer space in youth development programs was related to better HRQoL. We also found an interaction effect, such that safer spaces in youth programs appeared to be especially beneficial for HRQoL for youth with higher incomes. Findings reinforce past research on LGBTQ status and income as factors for youth wellness and mental health. Findings also suggest that perceived safer spaces in youth development programs support better HRQoL and lower health complaints, across populations of participating youth.
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Affiliation(s)
- Heather L Ramey
- Child & Youth Studies Department, Brock University, 1812 Sir Isaac Brock Way, St. Catharines, Ontario, L2S 3A1, Canada
- Students Commission of Canada, 23 Isabella Street, Toronto, Ontario, M4Y 1M7, Canada
| | - Heather L Lawford
- Students Commission of Canada, 23 Isabella Street, Toronto, Ontario, M4Y 1M7, Canada
- Psychology Department, Bishop's University, 2600 College, Sherbrooke, Québec, J1M 1Z7, Canada
| | - Yana Berardini
- Students Commission of Canada, 23 Isabella Street, Toronto, Ontario, M4Y 1M7, Canada
- Department of Child & Youth Studies, Trent University, 55 Thornton Rd S, Oshawa, Ontario, L1J 5Y1, Canada
| | - Sharif S Mahdy
- The Students Commission of Canada, 23 Isabella Street, Toronto, Ontario, M4Y 1M7, Canada
| | - Nishad Khanna
- The Students Commission of Canada, 23 Isabella Street, Toronto, Ontario, M4Y 1M7, Canada
| | - Madeleine D Ross
- The Students Commission of Canada, 23 Isabella Street, Toronto, Ontario, M4Y 1M7, Canada
| | - Tonia K von Hugo
- Ontario Veterinary College, University of Guelph, 50 Stone Road East, Guelph, Ontario, N1G 2W1, Canada
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Krok-Schoen JL, Naughton MJ, Felix AS, Wiley Cené C, Springfield S, Yu M, McLaughlin EM, Shadyab AH, Nolan TS, Kroenke CH, Garcia L, Follis S, Jackson RD. Resiliency Among Women's Health Initiative Women Aged 80 and Older by Race, Ethnicity, and Neighborhood Socioeconomic Status. J Gerontol B Psychol Sci Soc Sci 2023; 78:1445-1458. [PMID: 36933001 PMCID: PMC10461531 DOI: 10.1093/geronb/gbad048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Indexed: 03/19/2023] Open
Abstract
OBJECTIVES A comprehensive examination of resilience by race, ethnicity, and neighborhood socioeconomic status (NSES) among women aged ≥80 is needed, given the aging of the U.S. population, increasing longevity, and growing racial and ethnic diversity. METHODS Participants were women aged ≥80 enrolled in the Women's Health Initiative. Resilience was assessed with a modified version of the Brief Resilience Scale. Descriptive statistics and multiple linear regression examined the association of demographic, health, and psychosocial variables with resilience by race, ethnicity, and NSES. RESULTS Participants (n = 29,367, median age = 84.3) were White (91.4%), Black (3.7%), Hispanic (1.9%), and Asian (1.7%) women. There were no significant differences by race and ethnicity on mean resiliency scores (p = .06). Significant differences by NSES were observed regarding mean resiliency scores between those with low NSES (3.94 ± 0.83, out of 5) and high NSES (4.00 ± 0.81). Older age, higher education, higher self-rated health, lower stress, and living alone were significant positive correlates of resilience in the sample. Social support was correlated with resilience among White, Black, and Asian women, but not for Hispanic women. Depression was a significant correlate of lower resilience, except among Asian women. Living alone, smoking, and spirituality were significantly associated with higher resilience among women with moderate NSES. DISCUSSION Multiple factors were associated with resilience among women aged ≥80 in the Women's Health Initiative. Despite some differing correlates of resilience by race, ethnicity, and NSES, there were many similarities. These results may aid in the design of resilience interventions for the growing, increasingly diverse population of older women.
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Affiliation(s)
- Jessica L Krok-Schoen
- Division of Health Sciences, School of Health and Rehabilitation Sciences, College of Medicine, The Ohio State University, Columbus, Ohio, USA
| | - Michelle J Naughton
- Division of Cancer Prevention and Control, Department of Medicine, College of Medicine, The Ohio State University, Columbus, Ohio, USA
| | - Ashley S Felix
- Division of Epidemiology, College of Public Health, The Ohio State University, Columbus, Ohio, USA
| | - Crystal Wiley Cené
- Division of General Medicine and Clinical Epidemiology, Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA
| | - Sparkle Springfield
- Parkinson School of Health Sciences and Public Health, Loyola University, Maywood, Illinois, USA
| | - Mengda Yu
- Center for Biostatistics, College of Medicine, The Ohio State University, Columbus, Ohio, USA
| | - Eric M McLaughlin
- Center for Biostatistics, College of Medicine, The Ohio State University, Columbus, Ohio, USA
| | - Aladdin H Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California at San Diego, La Jolla, California, USA
| | - Timiya S Nolan
- College of Nursing, The Ohio State University, Columbus, Ohio, USA
| | - Candyce H Kroenke
- Kaiser Permanente Northern California Division of Research, Oakland, California, USA
| | - Lorena Garcia
- Division of Epidemiology, Department of Public Health Sciences, University of California Davis School of Medicine, Medical Sciences 1-C, Davis, California, USA
| | - Shawna Follis
- Stanford Prevention Research Center, Department of Medicine, Stanford University, Palo Alto, California, USA
| | - Rebecca D Jackson
- Department of Internal Medicine/Endocrinology, Diabetes and Metabolism, College of Medicine, The Ohio State University, Columbus, Ohio, USA
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Gong R, Xia D, Hu Z, Hu Y. The impact of neighborhood mental health on the mental health of older adults. BMC Public Health 2023; 23:1352. [PMID: 37452289 PMCID: PMC10347814 DOI: 10.1186/s12889-023-16263-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 07/07/2023] [Indexed: 07/18/2023] Open
Abstract
BACKGROUND In this article, we use cross-sectional data obtained from the 2018 China Health and Aging Tracking Survey (CHARLS) to examine the impact of neighborhood mental health at the community level on the mental health of older adults aged 60 years and older. METHODS NMH is the average mental health of older adults in the same community, excluding the older adults themselves. The explained variable mental health in this paper was measured using the simple CES-D depression scale. The mediating variables were social connectedness, social participation and social inclusion, and the instrumental variables were physical exercise and amusement. regression analysis was conducted using OLS regression models, two-stage least squares (IV-2SLS) instrumental variables to address the two-way causality of NMH and MH, and KHB decomposition was used to investigate the effect mechanism. RESULTS Baseline regressions showed that the neighborhood mental health effect positively influenced the mental health of older adults (Coef. = 0.356, 95% CI 0.315,0.397). The neighborhood mental health effect estimated by IV-2SLS (Coef. = 0.251, 95% CI 0.096,0.405) was higher than the OLS regression, indicating endogeneity. The mediated effects of KHB showed total (Coef. = 0.356, 95% CI 0.314,0.398), direct (Coef. = 0.281, 95% CI 0.232,0.330), and indirect effects (Coef. = 0.075, 95% CI 0.049,0.101). While the total effect was 1.266 times higher than the direct effect, 21.03% of the total effect came from mediating variables. CONCLUSIONS First, the neighborhood mental health effect has a positive impact on the mental health of older adults, but there are heterogeneous differences based on gender, age, and place of residence. Second, the results of the IV-2SLS estimation showed that the effect of the neighborhood mental health effect was underestimated if endogenous problems were not controlled for. Third, the effect of neighborhood mental health on older adults' mental health was tested to be stable. Moreover, social connectedness, social participation, and social interaction are important mediating mechanisms for the effect of neighborhood mental health on older adults' mental health. This study provides new perspectives and ideas for an in-depth understanding of the mental health of older adults in the context of social transformation in China.
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Affiliation(s)
- Rengui Gong
- School of Public Management and Law, Anhui University of Technology, Ma'anshan, China
| | - Dongping Xia
- College of Public Administration and law, Hunan Agricultural University, Changsha, China
| | - Zan Hu
- The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, China.
| | - Yangming Hu
- College of Public Administration and law, Hunan Agricultural University, Changsha, China.
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Yangming H, Rengui G, Long Z. Neighborhood health effects on the physical health of the elderly: Evidence from the CHRLS 2018. SSM Popul Health 2022; 20:101265. [PMID: 36281247 PMCID: PMC9587335 DOI: 10.1016/j.ssmph.2022.101265] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 09/24/2022] [Accepted: 10/10/2022] [Indexed: 11/13/2022] Open
Abstract
Background There are more than 26 million elderly people in China, and due to the Health China strategy proposed in 2020, “Elderly Health” has become an important topic of concern for all sectors of society. Neighborhoods provide important social relationships. However, Chinese researchers have not extensively explored the impact of these relationships on the physical health of the elderly. Methods Based on the data from the 2018 China Health and Retirement Longitudinal Study (CHARLS), we constructed a comprehensive research framework integrating ordinary least square (OLS) regression, heterogeneity analysis, IV-2SLS, robustness testing, and Karlson–Holm–Breen (KHB) mediating effect analysis, which can be used to thoroughly examine neighborhood health effects (NHEs) in relation to the physical health of the elderly. Results The OLS results showed that the NHEs (B = 0.4689, p < 0.01) had a positive influence on the physical health of the elderly, and were lower than the NHEs estimated by IV-2SLS (B = 0.5018, p < 0.01). The mediating effects of social networks and social relationships were analyzed using KHB, and both the total (B = 0.6056, p < 0.01) and indirect (B = 0.0800, p < 0.01) effects on neighborhood health were significant, with the total effect being 10 times larger than the direct effect and 13.24% of the total effect coming from the mediating variable. Conclusions Firstly, the NHEs positively influence the physical health of elderly persons, but there are heterogeneous differences. Secondly, the IV-2SLS estimation results suggest that not controlling for endogeneity leads to underestimation of the role of the NHEs. Thirdly, using the county-level NHEs, self-rated health, and health changes to replace variables, and grouping by smokers (small sample) and never smoked (large sample), the influence of the NHEs on the physical health of the elderly is robust. Finally, social networks and social relationships are important transmission mechanisms of the NHEs when it comes to the physical health of the elderly. NHEs are robust and significant in the Chinese social background. Community (county) level NHEs are positive for the positive health of the elderly. NHEs have a positive impact on self-rated health and health changes in older adults. Endogenous issues would underestimate the role of NHEs. •Social networks and social relationships are transmission mechanisms of the NHEs.
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