Effects of Plant-Based Diets on Weight Status in Type 2 Diabetes: A Systematic Review and Meta-Analysis of Randomised Controlled Trials

Excessive adiposity is a major risk factor for type 2 diabetes (T2D), and dietary patterns are important determinants of weight status. Plant-based dietary patterns (PBDs) are known for their therapeutic effects on T2D. The aim is to systematically review RCTs to investigate the effects of various PBDs compared to regular meat-eating diets (RMDs), in individuals who normally consume a RMD on body weight, BMI, and waist circumference in T2D. RCTs investigating PBDs and body weight, BMI, WC for ≥6 weeks in adults with T2D since 1980 were eligible for inclusion. Seven trials (n = 269) were included in the meta-analysis using random-effects models and expressed as MD (95%Cls). Compared to RMDs, PBDs significantly lowered body weight (−2.35 kg, 95% CI: −3.51, −1.19, p < 0.001), BMI (−0.90 kg/m², 95% CI: −1.42, −0.38, p = 0.001) and WC (−2.41 cm, 95% CI: −3.72, −1.09, p < 0.001). PBDs alone significantly reduced body weight by 5.1% (−4.95 kg, 95% CI: −7.34, −2.55, p < 0.001), BMI by 5.4% (−1.87 kg/m², 95% CI: −2.78, −0.95, p < 0.001) and WC by 4.3%(−4.23, 95% CI: −6.38, −2.07, p < 0.001). Interventions not limiting energy intake led to a significant reduction in body weight (−2.54 kg, 95% CI: −4.16, −0.92, p < 0.005) and BMI (−0.91 kg/m², 95% CI: −1.56, −0.25, p < 0.005). Trials ≥16 weeks had a pronounced reduction in body weight (−2.93 kg, 95% CI: −5.00, −0.87, p = 0.005) and BMI (−1.13 kg/m², 95% CI: −1.89, −0.38, p < 0.005). These findings provide evidence for the implementation of PBDs for better management of central adiposity in individuals with T2D.     

Frailty status is related to general and abdominal obesity in older adults

The association between frailty and obesity may differ according to the heterogeneity of body mass index (BMI) and waist circumference (WC) phenotypes in older adults. We hypothesized that the use of simple indicators of general and abdominal obesity combined, may more accurately represent obesity and allow to further elucidate on how frailty status and its criteria are related to obesity. A sample of 1444 older adults, aged ≥65 years (Nutrition UP 65 study) was included in a cross-sectional analysis. General and abdominal obesity were defined according to World Health Organization BMI and WC cut-offs, and frailty by Fried et al. phenotype. A cluster analysis defined groups according to BMI and WC levels. Overweight (BMI between 25.0 and 29.9 kg/m²; 44.6%), general obesity (BMI ≥30.0 kg/m²; 39.0%), and abdominal obesity (WC >102 cm for men and >88 cm for women) were highly frequent (66.5%). Prefrailty (odds ratio [OR]: 2.33; 95% confidence interval [CI]: 1.52-3.57) and frailty (OR: 2.87; 95% CI: 1.58-5.22) were directly associated with the “general and abdominal obesity” cluster. Regarding frailty criteria, low handgrip strength (OR: 2.29; 95% CI: 1.55-3.38) and weight loss (OR: 0.27; 95% CI: 0.14-0.52) were also associated with this cluster. In this sample of older adults presenting a high frequency of overweight and obesity, prefrailty and frailty are linked to higher levels of adiposity, but only when both general and abdominal obesity are present. Present results emphasize the importance of the evaluation of both BMI and WC in the geriatric clinical practice and suggest that older adults presenting both general and abdominal obesity should be routinely screened for frailty.     

Association between Dietary Patterns and the Indicators of Obesity among Chinese: A Cross-Sectional Study

No previous study has investigated dietary pattern in association with obesity risk in a middle-aged Chinese population. The purpose of this study was to evaluate the associations between dietary patterns and the risk of obesity in the city of Hangzhou, the capital of Zhejiang Province, east China. In this cross-sectional study of 2560 subjects aged 45–60 years, dietary intakes were evaluated using a semi-quantitative food frequency questionnaire (FFQ). All anthropometric measurements were obtained using standardized procedures. The partial correlation analysis was performed to assess the associations between dietary patterns and body mass index (BMI), waist circumference (WC), and waist to hip ratio (WHR). Multivariate logistic regression analysis was used to examine the associations between dietary patterns and obesity, with adjustment for potential confounders. Four major dietary patterns were extracted by means of factor analysis: animal food, traditional Chinese, western fast-food, and high-salt patterns. The animal food pattern was positively associated with BMI (r = 0.082, 0.144, respectively, p < 0.05) and WC (r = 0.102, 0.132, respectively, p < 0.01), and the traditional Chinese pattern was inversely associated with BMI (r = −0.047, −0.116, respectively, p < 0.05) and WC (r = −0.067, −0.113, respectively, p < 0.05) in both genders. After controlling for potential confounders, subjects in the highest quartile of animal food pattern scores had a greater odds ratio for abdominal obesity (odds ratio (OR) = 1.67; 95% confidence interval (CI): 1.188–2.340; p < 0.01), in comparison to those from the lowest quartile. Compared with the lowest quartile of the traditional Chinese pattern, the highest quartile had a lower odds ratio for abdominal obesity (OR = 0.63; 95% CI: 0.441–0.901, p < 0.05). Conclusions: Our findings indicated that the animal food pattern was associated with a higher risk of abdominal obesity, while the traditional Chinese pattern was associated with a lower risk of abdominal obesity. Further prospective studies are warranted to confirm these findings.     

Impact of the Level of Adherence to Mediterranean Diet on the Parameters of Metabolic Syndrome: A Systematic Review and Meta-Analysis of Observational Studies

High adherence to the Mediterranean diet (MD) has been associated with a lower prevalence of Metabolic Syndrome (MetS). The present study aimed to investigate the impact of MD adherence on parameters of MetS. A systematic literature search was performed in PubMed, Cochrane Central Registry of Clinical Trials (CENTRAL), Scopus, EMBASE, Web of Science and Google Scholar databases. Observational studies that recorded adherence to MD and components/measures of the MetS, such as waist circumference (WC), blood pressure (BP), fasting blood glucose (FBG), high-density lipoprotein (HDL) cholesterol and triglycerides (TG), were included in this study. A total of 58 studies were included in our study. WC and TG were significantly lower in the high adherence MD group (SMD: −0.20, (95%CI: −0.40, −0.01), SMD: −0.27 (95%CI: −0.27, −0.11), respectively), while HDL cholesterol was significantly higher in the same group (SMD: −0.28 (95%CI: 0.07, 0.50). There was no difference in FBG and SBP among the two groups (SMD: −0.21 (95%CI: −0.54, 0.12) & SMD: −0.15 (95%CI: −0.38, 0.07), respectively). MD may have a positive impact on all parameters of MetS. However, further research is needed in this field.     

Food Addiction and Lifestyle Habits among University Students

The prevalence of overweight and obesity is increasing in our society, with a complex, multifactorial origin, and associated with greater morbidity and mortality in the population. Food addiction (FA) is a common disorder in overweight/obese people, which appears to be increasingly common in young people. This study analyzed food addiction in a group of young university students and to examine its association with body composition, quality of sleep, adherence to the Mediterranean diet, physical activity/sedentary habits, tobacco or alcohol consumption, and health status. A total of 536 undergraduate nursing students participated in a questionnaire that included the Yale Food Addiction Scale (YFAS 2.0). Up to 6.4% of the students presented FA. Statistically significant associations were observed in the variables for sleep quality odds ratio (OR) 4.8 (95% confidence interval (CI): 1.66–13.87), anxiety/depression OR 8.71 (95% CI: 3.93–19.27), body mass index (BMI) OR 8.32 (95% CI: 3.81–18.15) and sedentary lifestyle OR 2.33 (95% CI: 1.09–5.01). A predictive model was developed after binary logistic regression (area under the ROC curve 0.84 (95% CI: 0.77–0.91). Students with FA presented higher BMI values, worse sleep quality, anxiety or depression problems, and more time spent in sedentary behaviors.     

Low Adherence to the EAT-Lancet Sustainable Reference Diet in the Brazilian Population: Findings from the National Dietary Survey 2017–2018

Diets are simultaneously connected with population health and environment. The EAT-Lancet Commission proposed a sustainable reference diet to improve population health and respect the planetary boundaries. Recently, the Planetary Health Diet Index (PHDI) has been developed to assess the adherence to this reference diet. In the present study, we aimed to evaluate the adherence to the EAT-Lancet diet through the PHDI in a nationwide population-based study carried out in Brazil. We used data from the National Dietary Survey conducted through the Household Budget Survey in 2017–2018, with 46,164 Brazilians aged over 10 years old. Food consumption was evaluated with a 24 h dietary recall. The average PHDI total score in the Brazilian population was 45.9 points (95% CI 45.6:46.1) on a total score that can range from 0 to 150 points. The adherence to EAT-Lancet diet was low among all Brazilian regions. Women, elderly, those overweighed/obese, with higher per capita income and living in the urban area had higher scores in the PHDI. In general, the Brazilian population presented low adherence to a healthy and sustainable dietary pattern and seems far from meeting the EAT-Lancet recommendations.     

Development and Validation of an Index Based on EAT-Lancet Recommendations: The Planetary Health Diet Index

The EAT-Lancet Commission has proposed a planetary health diet. We propose the development of the Planetary Health Diet Index (PHDI) based on this proposed reference diet. We used baseline dietary data obtained through a 114-item FFQ from 14,779 participants of the Longitudinal Study on Adult Health, a multicenter cohort study conducted in Brazil. The PHDI has 16 components and a score from 0 to 150 points. Validation and reliability analyses were performed, including principal component analyses, association with selected nutrients, differences in means between groups (for example, smokers vs. non-smokers), correlations between components and total energy intake, Cronbach’s alpha, item-item correlations, and linear regression analysis between PHDI with carbon footprint and overall dietary quality. The mean PHDI was 60.4 (95% CI 60.2:60.5). The PHDI had six dimensions, was associated in an expected direction with the selected nutrients and was significantly (p < 0.001) lower in smokers (59.0) than in non-smokers (60.6). Cronbach’s alpha value was 0.51. All correlations between components were low, as well as between components and PHDI with total energy intake. After adjustment for age and sex, the PHDI score remained associated (p < 0.001) with a higher overall dietary quality and lower carbon footprint. Thus, we confirmed the PHDI validity and reliability.     

Diabetes Risk Reduction Diet and Endometrial Cancer Risk

Diabetes increases endometrial cancer risk. We investigated the role of a diabetes risk reduction diet (DRRD) on the risk of endometrial cancer using data from a multicentric, Italian hospital-based case–control study (1992–2006) enrolling 454 histologically confirmed cases of endometrial cancer and 908 controls matched by age and center. We derived a DRRD score assigning higher scores for higher intakes of cereal fiber, fruit, coffee, polyunsaturated:saturated fatty acid ratio, and nuts and for lower glycemic load and lower intakes of red/processed meat and sugar-sweetened beverages/fruit juices. The odds ratios (OR) of endometrial cancer according to the DRRD score were derived by multiple conditional logistic regression models. The OR for high (DRRD score >24, i.e., third tertile) versus medium–low adherence to the DRRD was 0.73 (95% confidence interval, CI, 0.55–0.97). Similar results were observed after the exclusion of diabetic women (OR 0.75; 95% CI, 0.56–1.00) and allowance for total vegetable consumption (OR 0.80; 95% CI, 0.60–1.07). Inverse associations were observed in most of the analyzed subgroups. The OR for high DRRD combined with high vegetable consumption was 0.45 (95% CI, 0.28–0.73). Our results suggest that diets able to reduce diabetes risk may also reduce endometrial cancer risk. High vegetable consumption combined with high adherence to the DRRD may provide additional benefit in endometrial cancer prevention.     

Perception of overweight is associated with poor academic performance in US adolescents

BACKGROUND: To improve understanding of the mechanisms affecting the relationship between adolescent obesity and poor academic performance, we examined the association of overweight or perceived weight status with academic achievement. METHODS: We performed a cross‐sectional study of 14–17‐year‐olds (N = 11,012) from the nationally representative 2003 Youth Risk Behavior Survey. The main outcome measure was self‐reported grades (mostly A, B, C, D, or F). The primary independent variables were medically defined overweight (body mass index [BMI] ≥ 85th percentile), obesity (BMI ≥ 95th percentile), and participants' perception of their weight status. RESULTS: Medically defined overweight youth were less likely to report higher grades in unadjusted analysis (OR 0.67, 95% CI: 0.60‐0.76, p < .001) and after adjustment for demographics, depression, television and video game use, and physical activity (OR 0.83, 95% CI: 0.74–0.94, p = .003). Statistically significant results also were seen with medically defined obese participants. Youth who perceived themselves as overweight were less likely to report higher grades (OR 0.82, 95% CI: 0.73–0.92, p = .001) in unadjusted analysis and after adjustment for the same variables (OR 0.79, 95% CI: 0.68–0.91, p = .002). The perception of overweight was a more significant determinant of academic performance (OR 0.81, 95% CI: 0.69–0.95, p = .012) compared to medically defined obesity (OR 0.90, 95% CI: 0.77–1.05, p = .174). CONCLUSIONS: Perceived overweight status is negatively associated with academic performance, regardless of actual weight status. These findings suggest that perception of overweight may be a mechanism for prior results indicating a negative association of obesity and academic achievements, and have implications for the academic health of these adolescents.     

Body mass index (BMI) and waist circumference (WC) as screening tools for cardiovascular risk factors in Guadeloupean women

Hypertension, dyslipidemia and type 2 diabetes, important cardiovascular risk factors, are strongly linked to obesity. Body mass index (BMI) and waist circumference (WC) are measures of obesity that can be useful in identifying individuals with these risk factors. We assessed which of the two measures is more informative at the population level. The study population included 5,149 consecutive women aged 18 to 74 recruited in an Health Center of Guadeloupe (FWI) in 1999. The areas under the ROC curves of BMI and WC and their 95% CI were computed and compared. Logistic regression analysis of BMI and WC and the areas under the ROC curves in two separate age groups (18-39 years and 40-74 years) showed that age modifies the discriminant ability of these parameters in identifying the CVD risk factors. Sensitivity equalled specificity at levels between 52-70% for BMI and 55-80% for WC. ROC areas for identifying each risk factors by BMI varied from 0.52 to 0.84 and by WC from 0.55 to 0.88. For the identifying of women with at least one CVD risk factor, in the whole population, the areas under the curves for BMI and WC (respectively, 0.71; 95% CI: 0.69-0.73 and 0.76; 95% CI: 0.74-0.78) were both significantly greater than 0.5. The difference between these correlated areas was 0.04, 95% CI [-0.05, -0.03]. The lowest values of the areas were noted in detecting women with dyslipidemia and the highest in detecting those with type 2 diabetes. Waist circumference, a practical tool that had a higher discriminant ability than BMI in identifying presence or absence of all these risk factors, appears as the best screening tool in this population.     

Consumption of Ultra-Processed Foods Increases the Likelihood of Having Obesity in Korean Women

This study aimed to determine the association between consumption of ultra-processed foods and obesity among Korean adults. We used the data of 7364 participants (men 3219, women 4145) aged 19–64 years from the Korea National Health and Nutrition Examination Survey (KNHANES), 2016–2018. Food items were classified using the NOVA food classification system, depending on the extent and purpose of food processing: (1) unprocessed or minimally processed foods, (2) processed culinary ingredients, (3) processed foods, and (4) ultra-processed foods. Consumption of ultra-processed foods accounted for 26.8% of the total energy intake. After adjusting for potential confounders including sociodemographic and lifestyle characteristics, subjects with the highest consumption of ultra-processed foods (fourth quartile of % energy intake from ultra-processed foods) had 0.61 kg/m² higher body mass index (BMI; 95% confidence interval [CI] 0.23–0.99, p-trend 0.0047), 1.34 cm higher waist circumference (WC; 95% CI 0.35–2.34, p-trend 0.0146), 51% higher odds of being obese (BMI > 25 kg/m²; odds ratio [OR] 1.51, 95% CI 1.14–1.99, p-trend 0.0037), and 64% higher odds of abdominal obesity (men: WC ≥ 90 cm, women: WC ≥ 85 cm; OR 1.64, 95% CI 1.24–2.16, p-trend 0.0004) than those with the lowest consumption (first quartile) among women. However, no association was found in men. These findings provide evidence that high consumption of ultra-processed foods is positively associated with obesity in Korean women. Further studies with a large-scale cohort or intervention trial are needed to identify the mechanism of associations between consumption of ultra-processed foods and health-related outcomes including obesity in Korea.     

Association between diabetes mellitus and hypertension with anthropometric indicators in older adults: Results of the Mexican Health Survey, 2000

Objective: To determine the association between anthropometric indicators of adiposity with type 2 diabetes mellitus (T2DM) and hypertension (HTN) in older adults.Design: Cross-sectional study of participants of the Mexican Health Survey 2000 (MHS).Setting: Mexico, subjects recruited from the general community.Participants: The analytic sample included 7,322 adults who were ≥60 years of age at the time of the survey. T2DM data were available on 6,994 individuals, who represent 95.5% of the original sample; data on HTN was available on 6,268 subjects, which accounted for 86.5% of the original sample.Measurements: Type 2 diabetes mellitus and hypertension, as well as anthropometric indicators including body mass index (BMI), waist circumference (WC), and conicity index (CI).Results: The prevalence of T2DM and HTN in this age group was 34.3% and 73.9%, respectively. After adjusting for other variables, the association between high WC and T2DM (OR=1.59 95%CI=1.26-2.01, P < 0.001) was stronger than the association with overweight (OR=1.26, 95%CI= 1.01–1.58, P=0.04) and obesity (OR=1.38, 95%CI= 1.08–1.79, P< 0.01) using BMI, and slightly higher than tertile 2 of the CI (OR=1.49, 95%CI=1.20–1.88, P< 0.01), while tertile 3 showed a stronger association with T2DM (OR=1.60, 95%CI=1.22–2.08, P< 0.001). However, the association between obesity and HTN measured by BMI (OR=1.98, 95%CI=1.48–2.65, P< 0.001) was stronger than what was observed with overweight (OR=1.42, 95%CI 1.13–1.77, P< 0.01), with high WC (OR=1.62, 95%CI=1.25–2.10, P< 0.001) and tertiles 2 and 3 of the CI (OR=1.23, 95%CI=0.99–1.55, P= 0.09); (OR=1.53, 95%CI= 1.16–2.03, P< 0.01) respectively.Conclusions: BMI and abdominal obesity are significantly and independently associated with an increase in the prevalence of T2DM and HTN among older Mexican adults.     

Optimal cut-offs of five anthropometric indices and their predictive ability of type 2 diabetes in a nationally representative Kenyan study

BackgroundType 2 diabetes (T2D) is one of the top non-communicable diseases in Kenya and prevention strategies are urgently needed. Intervening to reduce obesity is the most common prevention strategy. However, black populations develop T2D at lower obesity levels and it is unclear which anthropometric cut-offs could provide the best predictive ability for T2D risk. This study, therefore, aimed to determine the optimal anthropometric cut-offs and their predictive ability of T2D in Kenya.MethodsThe study included 2159 participants (59% women) aged 35–70 years from the Kenya STEPwise survey conducted in 2014. Five anthropometric indices were used—body mass index (BMI), waist circumference (WC), waist to hip ratio (WHR), waist to height ratio (WHtR) and waist divided by height^0.5(WHt.5R). Diabetes was defined as a fasting blood glucose of ≥7.0 mmol/l or a previous diagnosis by a health worker. Optimal anthropometric cut-offs and their receiver operating characteristics, such as the area under the curve (AUC), were computed.ResultsOverall, the optimal cut-off for BMI, WC, WHR, WHtR and WHt.5R were 24.8 kg.m⁻², 90 cm, 0.88, 0.54 and 6.9. On disaggregation by sex, the optimal cut-off for BMI, WC, WHR WHtR and WHt.5R was 27.1 kg.m⁻², 87 cm, 0.85, 0.55 and 6.9 in women, and 24.8 kg.m⁻², 91 cm, 0.88, 0.54 and 6.9 in men. Overall, WC (AUC 0.71 (95% confidence interval 0.65, 0.76)) WHtR (AUC 0.71 (0.66, 0.76)) and WHt.5R (AUC 0.70 (0.65,0.75)) had a better predictive ability for T2D than BMI (AUC 0.68 (0.62, 0.73)).ConclusionsWC, WHtR and WHt.5R were better predictors of T2D than BMI and should be used for risk stratification in Kenya. A WC cut-off of 87cm in women and 91cm in men, a WHtR cut-off of 0.54 or a WHt.5R of 6.9 in both men and women should be used to identify individuals at an elevated risk of T2D.     

Association of Household Food Insecurity with Nutritional Status and Mental Health of Pregnant Women in Rural Bangladesh

Food insecurity may affect women’s health; however, pertinent research is scant among pregnant women. This study investigated the association of household food insecurity (HFI) with the nutritional status and mental health of 672 early-gestation (5–16 weeks) pregnant women with a singleton fetus, who participated in the screening activity of a community-based trial ({"type":"clinical-trial","attrs":{"text":"NCT04868669","term_id":"NCT04868669"}}NCT04868669) in Matlab, Bangladesh. Height (cm), weight (kg), body mass index (kg/m²), mid-upper arm circumference (MUAC) (cm), depression, anxiety, and stress were the outcomes studied. HFI was assessed using the Household Food Insecurity Access Scale. Women’s depression, anxiety, and stress were assessed using the Depression, Anxiety, and Stress Scales-21. Propensity score matching based weighted multivariable linear and logistic regression were used to evaluate the independent association of HFI with the outcomes. In adjusted models, pregnant women from food-insecure households in rural Matlab were on average 2.0 cm shorter (β = −2.0, 95% CI: −3.3, −0.7), 2.0 kg lighter (β = −2.0, 95% CI: −3.4, −0.7), and had 0.6 cm lower MUAC (β = −0.6, 95% CI: −1.1, −0.1) than their food-secure counterparts. HFI was associated with higher odds of depression (OR = 3.3, 95% CI: 1.8, 5.9), anxiety (OR = 6.1, 95% CI: 3.7, 10.0), and stress (OR = 4.8, 95% CI: 1.6, 14.2) among the women. Public health measures should focus on ensuring proper nutrition during the critical growth periods of life, pregnancy, and external environmental shocks, to mitigate the adverse effects of HFI on women’s health.     

Adherence to Child Feeding Practices and Child Growth: A Retrospective Cohort Analysis in Cambodia

Appropriate feeding in the first 1000 days of a child’s life is critical for their health and growth. We determined associations between adherence to age-appropriate feeding practices and child growth in Cambodia. Children (n = 1079) were included in the first follow-up (FU) data analyses and followed for 30 months (six FUs). Data were analyzed by generalized linear mixed-effect models. Children who adhered to feeding practices on at least three FUs, with an adequate minimal dietary diversity (MDD), a minimal acceptable diet (MAD), and age-appropriate daily feeding (ADF) were less stunted (14.8%, 12.3%, and 6.4%, respectively) than children who never adhered to these indicators (25.2%, 30.1%, and 24.8%, respectively). A higher adherence to MDD and ADF was associated with a higher height-for-age Z-score (HAZ) (β: 0.13, 95% CI: 0.01–0.25 and β: 0.36, 95% CI: 0.22–0.50), while a higher adherence to the MDD and MAD was associated with a higher weight-for-height Z-score (WHZ) (β: 0.19, 95% CI: 0.08–0.30; and β: 0.16, 95% CI: 0.05–0.27). A higher adherence to a minimum meal frequency (MMF) was associated with a lower HAZ (β: −0.99, 95% CI: −1.28–−0.70). Our findings showed that to reduce wasting and stunting in Cambodia, interventions should focus on improving both the quality and quantity of food intake of children under two while targeting the whole complementary feeding period.     

Impacts of Digital Healthy Diet Literacy and Healthy Eating Behavior on Fear of COVID-19, Changes in Mental Health,and Health-Related Quality of Life among Front-Line Health Care Workers

Background: We aimed to examine the impacts of digital healthy diet literacy (DDL) and healthy eating behaviors (HES) on fear of COVID-19, changes in mental health, and health-related quality of life (HRQoL) among front-line healthcare workers (HCWs). Methods: An online survey was conducted at 15 hospitals and health centers from 6–19 April 2020. Data of 2299 front-line HCWs were analyzed—including socio-demographics, symptoms like COVID-19, health literacy, eHealth literacy, DDL, HES, fear of COVID-19, changes in mental health, and HRQoL. Regression models were used to examine the associations. Results: HCWs with higher scores of DDL and HES had lower scores of FCoV-19S (regression coefficient, B, −0.04; 95% confidence interval, 95% CI, −0.07, −0.02; p = 0.001; and B, −0.10; 95% CI, −0.15, −0.06; p < 0.001); had a higher likelihood of stable or better mental health status (odds ratio, OR, 1.02; 95% CI, 1.00, 1.05; p = 0.029; and OR, 1.04; 95% CI, 1.00, 1.07; p = 0.043); and HRQoL (OR, 1.02; 95% CI, 1.01, 1.03; p = 0.006; and OR, 1.04; 95% CI, 1.02, 1.06; p = 0.001), respectively. Conclusions: DDL and HES were found as independent predictors of fear of COVID−19, changes in mental health status, and HRQoL in front-line HCWs. Improving DDL and HES should be considered as a strategic approach for hospitals and healthcare systems.     

Adherence to Prudent and Mediterranean Dietary Patterns Is Inversely Associated with Lung Cancer in Moderate But Not Heavy Male Polish Smokers: A Case-Control Study

Lung cancer is the most commonly diagnosed cancer in men worldwide. Studies regarding dietary patterns (DPs) and lung cancer are limited, with results remaining inconclusive, and the association of DPs with lung cancer in smokers is unclear. This study analyzed the associations between DPs, including the Polish-adapted Mediterranean diet (Polish-aMED) score, and lung cancer risk in Polish adult male smokers. This case-control study involved 439 men aged 45–80 years from northeastern Poland, including 187 newly diagnosed lung cancer cases. Dietary data was collected with a 62-item food frequency questionnaire (FFQ-6). Two approaches were applied to identify dietary patterns. The Polish-aMED score was calculated (hypothesis-driven approach) and a principal component analysis (PCA) was used to identify PCA-driven DPs (data-driven approach). A logistic regression analysis was performed to estimate the odds ratio (OR) and 95% confidence interval (95% CI) of the lung cancer risk associated with the adherence to DPs overall as well as for moderate (2.5–11 pack-years) and heavy (>11 pack-years) smokers. Among moderate smokers, the risk of lung cancer was lower by 41% (OR: 0.59; 95% CI: 0.39–0.90; p < 0.05; adjusted model) in the higher adherence to the prudent DP when compared to the lower adherence, and by 66% (OR: 0.34; 95% CI: 0.15–0.76; p < 0.05; adjusted model) in the high adherence (7–9 points) to the Polish-aMED score when compared to the low adherence (0–3 points). No significant association between the westernized traditional DP or the sweet dairy DP and lung cancer was revealed. In conclusion, the current study suggests that pro-healthy dietary patterns, including the Mediterranean pattern, may favour lower risk of lung cancer in moderate smokers, although it was not confirmed in heavy smokers.     

Long-Term Effect of Population Screening for Diabetes on Cardiovascular Morbidity,Self-Rated Health,and Health Behavior

PURPOSE

There is limited trial evidence concerning the long-term effects of screening for type 2 diabetes on population morbidity. We examined the effect of a population-based diabetes screening program on cardiovascular morbidity, self-rated health, and health-related behaviors.

METHODS

We conducted a pragmatic, parallel-group, cluster-randomized controlled trial of diabetes screening (the ADDITION-Cambridge study) including 18,875 individuals aged 40 to 69 years at high risk of diabetes in 32 general practices in eastern England (27 practices randomly allocated to screening, 5 to no-screening for control). Of those eligible for screening, 466 (2.9%) were diagnosed with diabetes. Seven years after randomization, a random sample of patients was sent a postal questionnaire: 15% from the screening group (including diabetes screening visit attenders and non-attenders) and 40% from the no-screening control group. Self-reported cardiovascular morbidity, self-rated health (using the SF-8 Health Survey and EQ-5D instrument), and health behaviors were compared between trial groups using an intention-to-screen analysis.

RESULTS

Of the 3,286 questionnaires mailed out, 1,995 (61%) were returned, with 1,945 included in the analysis (screening: 1,373; control: 572). At 7 years, there were no significant differences between the screening and control groups in the proportion of participants reporting heart attack or stroke (OR = 0.90, 95% CI, 0.71–1.15); SF-8 physical health summary score as an indicator of self-rated health status (β −0.33, 95% CI, −1.80 to 1.14); EQ-5D visual analogue score (β: 0.80, 95% CI, −1.28 to 2.87); total physical activity (β 0.50, 95% CI, −4.08 to 5.07); current smoking (OR 0.97, 95% CI, 0.72 to 1.32); and alcohol consumption (β 0.14, 95% CI, −1.07 to 1.35).

CONCLUSIONS

Invitation to screening for type 2 diabetes appears to have limited impact on population levels of cardiovascular morbidity, self-rated health status, and health behavior after 7 years.     

Racial Differences in Obesity Measures and Risk of Colorectal Adenomas in a Large Screening Population

Obesity is an important risk factor for colorectal neoplasia; however, little research exists on racial differences in obesity measures [body mass index (BMI), waist circumference (WC), and waist-hip-ratio (WHR)] associated with adenoma. We used data from the Diet and Health Studies, Phases III–V to examine differences in the contribution of obesity measures to adenoma risk by race. The sample consisted of 2184 patients (1806 white, 378 African American) undergoing outpatient colonoscopy for average risk screening. Covariates included demographics, health history, and validated measures of diet and physical activity. Among whites, BMI [overweight: odds ratio (OR) = 1.31, 95% confidence interval (CI), 1.00–1.71; obese: OR = 1.89, 95% CI, 1.41–2.56), WC (OR = 1.47, 95% CI, 1.09–1.99), and WHR (OR = 1.60, 95% CI, 1.24–2.06) were associated with adenomas. BMI was not associated with adenomas in African Americans. Although the CIs were wide, the point estimates for WHR (OR = 1.07, 95% CI, 0.51–2.22) and WC (OR = 1.04, 95% CI, 0.56–1.92) were slightly elevated above the null. BMI was associated with adenomas only among whites, whereas WHR and WC appeared to be important risk factors among both races. Racial differences in adenoma risk may be due to differences in body shape and weight and/or fat distribution.     

Association between Dietary Inflammatory Index,Dietary Patterns,Plant-Based Dietary Index and the Risk of Obesity

Evidence on the association between various dietary constructs and obesity risk is limited. This study aims to investigate the longitudinal relationship between different diet indices and dietary patterns with the risk of obesity. Non-obese participants (n = 787) in the North West Adelaide Health Study were followed from 2010 to 2015. The dietary inflammatory index (DII^®), plant-based dietary index (PDI) and factor-derived dietary pattern scores were computed based on food frequency questionnaire data. We found the incidence of obesity was 7.62% at the 5-year follow up. In the adjusted model, results from multivariable log-binomial logistic regression showed that a prudent dietary pattern (RR_Q5 vs. _Q1 = 0.38; 95% CI: 0.15–0.96), healthy PDI (RR = 0.31; 95% CI: 0.12–0.77) and overall PDI (RR = 0.56; 95% CI: 0.23–1.33) were inversely associated with obesity risk. Conversely, the DII (RR = 1.59; 95% CI: 0.72–3.50), a Western dietary pattern (RR = 2.16; 95% CI: 0.76–6.08) and unhealthy PDI (RR = 1.94; 95% CI: 0.81–4.66) were associated with increased risk of obesity. Based on the cubic spline analysis, the association between an unhealthy PDI or diet quality with the risk of obesity was non-linear. In conclusion, an anti-inflammatory diet, healthy diet or consumption of healthy plant-based foods were all associated with a lower risk of developing obesity.