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1.
Eur J Clin Nutr ; 2022 Aug 09.
Article in English | MEDLINE | ID: covidwho-2231921

ABSTRACT

BACKGROUND/OBJECTIVES: Evidence supports therapeutic carbohydrate restriction (TCR) for managing appropriate patients with chronic illness, but little is known about TCR prescribing among dietitians. This study evaluated dietitians' knowledge, information use and needs for TCR in Canada. METHODS: Registered dietitians (RDs) were recruited (n = 274) from January to December 2020 to collect semi-structured data using an online needs assessment survey (French and English). Descriptive and inferential statistics were used to describe and assess which nine RD practice characteristics predicted TCR prescription in clinical practice. RESULTS: Respondents were located in all provinces and territories in Canada, with few international responses in the sample (3.5%). We found statistically significant differences between RDs who have prescribed TCR or not in four practice characteristics studied: level of knowledge (p < 0.001), reviewing literature (p = 0.02), clinician referrals (p < 0.001) or personal experience (p < 0.001). Multivariable models showed that the odds of prescribing TCR was associated with intermediate/expert knowledge (OR 5.92 [95% CI: 2.26-17.77]), clinician's referral (OR 3.22 [1.73-6.14]) and personal experience, whether a former user (OR 2.24 [1.09-4.72]) or a current user of TCR (OR 9.09 [2.70-42.09]), compared to no knowledge, no referral or no experience. CONCLUSION: There is a strong link between the use, or lack, of TCR in clinical practice among RDs and their knowledge level, personal experience and clinician referrals/support. Scope exists to develop novel educational tools and resources on scientific evidence for TCR, and increase multidisciplinary teams, so as to better support RDs in Canada to safely implement TCR in appropriate patients with chronic illness.

2.
Int J Environ Res Public Health ; 20(1)2023 01 02.
Article in English | MEDLINE | ID: covidwho-2166535

ABSTRACT

Background: Cardiovascular diseases (CVD) are the second leading cause of death in Canada with many modifiable risk factors. Pharmacists at a Canadian university delivered a novel CVD risk management program, which included goal-setting and medication management. Aim: This study aimed to describe what CVD prevention goals are composed of in a workplace CVD risk reduction program, and how might these goals change over time. Methods: A longitudinal, descriptive qualitative study using a retrospective chart review of clinical care plans for 15 patients enrolled in a CVD prevention program. Data across 6 visits were extracted from charts (n = 5413 words) recorded from May 2019-November 2020 and analyzed using quantitative content analysis and descriptive statistics. Results: Behavioural goals were most popular among patients and were more likely to change over the 12-month follow-up period, compared to health measure goals. Behavioural goals included goals around diet, physical activity (PA), smoking, medication, sleep and alcohol; health measure goals centered on weight measures, blood pressure (BP) and blood lipid levels. The most common behavioural goals set by patients were for diet (n = 11) and PA (n = 9). Over time, goals around PA, medication, alcohol and weight were adapted while others were added (e.g. diet) and some only continued. Patients experienced a number of barriers to their goal(s) which informed how they adapted their goal(s). These included environmental limitations (including COVID-19) and work-related time constraints. Conclusions: This study found CVD goal-setting in the pharmacist-led workplace wellness program was complex and evolved over time, with goals added and/or adapted. More detailed qualitative research could provide further insights into the patient-provider goal-setting experience in workplace CVD prevention.


Subject(s)
COVID-19 , Cardiovascular Diseases , Humans , Cardiovascular Diseases/prevention & control , Retrospective Studies , Pharmacists , Goals , Risk Factors , Canada , Workplace , Heart Disease Risk Factors
3.
PLoS One ; 17(8): e0273218, 2022.
Article in English | MEDLINE | ID: covidwho-1993520

ABSTRACT

BACKGROUND: Becoming unemployed is associated with poorer health, including weight gain. Middle- and older-age adults are a growing segment of workforces globally, but they are also more vulnerable to changes to employment status, especially during economic shocks. Expected workforce exits over the next decade may exacerbate both the obesity epidemic and the economic burden of obesity. This review extends current knowledge on economic correlates of health to assess whether employment transitions impact body weight by sex/gender among middle-aged and older adults. METHODS: Eight bibliometric databases were searched between June and July 2021, supplemented by hand-searches, with no restriction on publication date or country. Longitudinal studies, or reviews, were eligible when examining body weight as a function of employment status change in adults ≥50 years. Data extraction and quality appraisal used predefined criteria; reported findings were analysed by narrative synthesis. RESULTS: We screened 6,001 unique abstracts and identified 12 articles that met inclusion criteria. All studies examined retirement; of which two also examined job-loss. Overall, studies showed that retirement led to weight gain or no difference in weight change compared to non-retirees; however, reported effects were not consistent for either women or men across studies or for both women and men within a study. Reported effects also differed by occupation: weight gain was more commonly observed among retirees from physical occupations but not among retirees from sedentary occupations. Few studies assessed the role of health behaviours; sleep was the least studied. Most studies were medium quality. CONCLUSIONS: Existing studies do not provide a clear enough picture of how employment transitions affect body weight. Firm conclusions on the impact of employment transitions on weight cannot be made without further high-quality evidence that considers the role of gender, job-type, other health behaviours, and other transitions, like job-loss.


Subject(s)
Body Weight , Employment , Retirement , Employment/statistics & numerical data , Female , Humans , Male , Middle Aged , Obesity , Sex Factors , Weight Gain
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