Could It Be Menopause?

Bourgault, Annette M.

doi:10.4037/ccn2021973

Cited by 3 publications

(3 citation statements)

References 21 publications

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“…Midlife and older women (i.e., into and beyond menopause) are at an elevated risk for health-related issues that negatively impact well-being [3][4][5][6]. Stress, weight gain, and adverse changes in body composition (e.g., increased fat mass and central adiposity, decreased fat-free mass) may contribute to the development of obesity and deleterious health outcomes among midlife/older women [4][5][6][7]. Although chronologically and biologically distinct, both stages in a woman's life:…”

Section: Introductionmentioning

confidence: 99%

“…(1) midlife (peri-menopause and menopause), and (2) older (post-menopause), are considered to be high-risk periods for weight gain and unfavorable changes in body composition posing a threat to physical and psychological health and well-being [4][5][6][7]. While body composition is comprised of various components, the ratio of fat mass to fat-free mass, in particular, is a wellknown indicator of cardiometabolic risk factors (e.g., type 2 diabetes, hypertension) and is significantly associated with mortality [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

“…Well-being integrates physical, psychological, and emotional aspects of functioning, supporting a holistic approach to health interventions, and promotion [1,2]. Midlife and older women (i.e., into and beyond menopause) are at an elevated risk for health-related issues that negatively impact well-being [3][4][5][6]. Stress, weight gain, and adverse changes in body composition (e.g., increased fat mass and central adiposity, decreased fat-free mass) may contribute to the development of obesity and deleterious health outcomes among midlife/older women [4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

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Well-being predictors of body composition and associated behavioral risk factors in midlife/older women participating in a meditative movement intervention: an exploratory analysis

James,

Larkey,

Goldsmith

et al. 2023

J. Clin. Trans. Sci.

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Introduction: Greater than 40% of women are obese, a key risk factor for cardiometabolic, neurocognitive disease, mood disorders, and certain cancers. Obesity and unfavorable body composition can compromise physical and psychological health and well-being. Preliminary evidence demonstrates Meditative Movement (i.e., Tai Chi Easy) improves health outcomes and body composition among midlife/older women. This single-group pilot study explored relationships between well-being predictors related to body composition and associated behavioral risk factors in midlife/older women pre-to-post Tai Chi Easy intervention. Methods: Eligible women 45–75 years old, participated in once-weekly 30-minute Tai Chi Easy classes over 8-weeks. Pre/post-intervention data included self-report surveys and on-site body composition. Multivariate linear regression models were fitted with putative predictor variables having correlations p-values of 0.20 or less with sleep quality and eating behaviors. Results: Participants (N = 36) (M age = 53.7) were White (80.4%) and attended ≥ 4 years of college (70.6%). Analyses resulted in one independent variable per model as a predictor of the dependent variables of sleep quality and emotional eating. Results indicated: (1) stress explained 13.4% sleep quality variance (F (2, 20) = 2.71, p = 0.09) and (2) self-compassion explained 42.1% emotional eating variance (F (2, 31) = 12.54, p < .01). Conclusion: Findings suggest stress and self-compassion partially explain variance in the dependent variables of sleep quality and emotional eating, both associated behavioral risk factors of body composition. Additional research may guide interventions to test efficacy and examine mediators to improve well-being predictors, body composition, and associated behavioral risk factors among midlife/older women.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Well-being predictors of body composition and associated behavioral risk factors in midlife/older women participating in a meditative movement intervention: an exploratory analysis

James,

Larkey,

Goldsmith

et al. 2023

J. Clin. Trans. Sci.

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Visualized Pattern-Based Hypothesis Testing on Exhaustion, Resilience, Sleep Quality, and Sleep Hygiene in Middle-Aged Women Transitioning Into Menopause or Postmenopause

Jeon,

Lee

2024

CIN: Computers, Informatics, Nursing

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Exploratory data analysis involves observing data in graphical formats before making any assumptions. If interesting relationships or patterns among variables are identified, hypotheses are developed for further testing. This study aimed to identify significant differences in the levels of exhaustion, resilience, sleep quality, and sleep hygiene according to the personal characteristics of middle-aged women transitioning into menopause or postmenopause through exploratory data analysis. A total of 200 women aged 44 to 55 years were recruited online in August 2023. Data were collected using valid instruments and analyzed through data visualization, pattern identification in the visualized data, and hypothesis establishment based on the visualized patterns. Hypotheses were tested through the independent-samples t test, analysis of variance, and the Kruskal-Wallis test. A total of 11 patterns and corresponding hypotheses were identified. According to the statistically supported pattern-based hypotheses, middle-aged women who were in their perimenopausal period perceived themselves as unhealthy, had professional occupations, and had the highest level of exhaustion and the lowest levels of resilience, sleep quality, and sleep hygiene. This study demonstrated that data visualization is an efficient way to explore relationships or patterns between data. Data visualization should be considered an informatics solution that can provide insight in the field of healthcare.

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Commentary

Dillard‐Wright

Hall²

2022

Critical Care Nurse

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Commentaryresuscitation, including any pause for a vaccinated health care worker to don personal protective equipment. 7 This recommendation exposes health care workers to COVID-19 for heroic but futile efforts, given the abysmal success rate of cardiopulmonary resuscitation for COVID patients. 8 Taken in combination, these recommendations suggest the health care workforce is disposable-a message not lost on health care workers. [9][10][11] The effects of these systemic, structural, and institutional failures cannot and will not be mitigated by nonpharmacological interventions or hormone replacement therapy, 1 nor can gratitude practice 12 or shower heads 13 alleviate burnout, as recent American Nurses Association campaigns suggest. Ultimately, systemic problems cannot be solved by individual-focused solutions and, even more critical, individualist interventions tend to obscure upstream culpability.

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Could It Be Menopause?

Cited by 3 publications

References 21 publications

Well-being predictors of body composition and associated behavioral risk factors in midlife/older women participating in a meditative movement intervention: an exploratory analysis

Well-being predictors of body composition and associated behavioral risk factors in midlife/older women participating in a meditative movement intervention: an exploratory analysis

Visualized Pattern-Based Hypothesis Testing on Exhaustion, Resilience, Sleep Quality, and Sleep Hygiene in Middle-Aged Women Transitioning Into Menopause or Postmenopause

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