AbstractObjectiveTo examine how a healthy lifestyle is related to life expectancy that is free from major chronic diseases.DesignProspective cohort study.Setting and participantsThe Nurses’ Health ...Study (1980-2014; n=73 196) and the Health Professionals Follow-Up Study (1986-2014; n=38 366).Main exposuresFive low risk lifestyle factors: never smoking, body mass index 18.5-24.9, moderate to vigorous physical activity (≥30 minutes/day), moderate alcohol intake (women: 5-15 g/day; men 5-30 g/day), and a higher diet quality score (upper 40%).Main outcomeLife expectancy free of diabetes, cardiovascular diseases, and cancer.ResultsThe life expectancy free of diabetes, cardiovascular diseases, and cancer at age 50 was 23.7 years (95% confidence interval 22.6 to 24.7) for women who adopted no low risk lifestyle factors, in contrast to 34.4 years (33.1 to 35.5) for women who adopted four or five low risk factors. At age 50, the life expectancy free of any of these chronic diseases was 23.5 (22.3 to 24.7) years among men who adopted no low risk lifestyle factors and 31.1 (29.5 to 32.5) years in men who adopted four or five low risk lifestyle factors. For current male smokers who smoked heavily (≥15 cigarettes/day) or obese men and women (body mass index ≥30), their disease-free life expectancies accounted for the lowest proportion (≤75%) of total life expectancy at age 50.ConclusionAdherence to a healthy lifestyle at mid-life is associated with a longer life expectancy free of major chronic diseases.
Dietary interventions in patients with type 2 diabetes (T2D) are important for preventing long-term complications. Although a healthy diet is crucial, there is still uncertainty about the optimal ...macronutrient composition. We performed a meta-analysis comparing diets high in cis-monounsaturated fatty acids (MUFA) to diets high in carbohydrates (CHO) or in polyunsaturated fatty acids (PUFA) on metabolic risk factors in patients with T2D.
We systematically reviewed PubMed, MEDLINE, and Cochrane databases and prior systematic reviews and meta-analyses to identify interventions assessing HbA1c, fasting plasma glucose and insulin, LDL and HDL cholesterol, triglycerides, body weight, or systolic/diastolic blood pressure. Meta-analyses were conducted using both fixed- and random-effects models to calculate the weighted mean difference (WMD) and 95% CI.
We identified 24 studies totaling 1,460 participants comparing high-MUFA to high-CHO diets and 4 studies totaling 44 participants comparing high-MUFA to high-PUFA diets. When comparing high-MUFA to high-CHO diets, there were significant reductions in fasting plasma glucose (WMD -0.57 mmol/L 95% CI -0.76, -0.39), triglycerides (-0.31 mmol/L -0.44, -0.18), body weight (-1.56 kg -2.89, -0.23), and systolic blood pressure (-2.31 mmHg -4.13, -0.49) along with significant increases in HDL cholesterol (0.06 mmol/L 0.02, 0.10). When high-MUFA diets were compared with high-PUFA diets, there was a significant reduction in fasting plasma glucose (-0.87 mmol/L -1.67, -0.07). All of the outcomes had low to medium levels of heterogeneity, ranging from 0.0 to 69.5% for diastolic blood pressure (Phet = 0.011).
Our meta-analysis provides evidence that consuming diets high in MUFA can improve metabolic risk factors among patients with T2D.
The prevalence of smoking in diabetic patients remains high, and reliable quantification of the excess mortality and morbidity risks associated with smoking is important for diabetes management. We ...performed a systematic review and meta-analysis of prospective cohort studies to evaluate the relation of active smoking with risk of total mortality and cardiovascular events among diabetic patients.
We searched Medline and Embase databases through May 2015, and multivariate-adjusted relative risks were pooled by using random-effects models. A total of 89 cohort studies were included. The pooled adjusted relative risk (95% confidence interval) associated with smoking was 1.55 (1.46-1.64) for total mortality (48 studies with 1,132,700 participants and 109,966 deaths), and 1.49 (1.29-1.71) for cardiovascular mortality (13 studies with 37,550 participants and 3163 deaths). The pooled relative risk (95% confidence interval) was 1.44 (1.34-1.54) for total cardiovascular disease (16 studies), 1.51 (1.41-1.62) for coronary heart disease (21 studies), 1.54 (1.41-1.69) for stroke (15 studies), 2.15 (1.62-2.85) for peripheral arterial disease (3 studies), and 1.43 (1.19-1.72) for heart failure (4 studies). In comparison with never smokers, former smokers were at a moderately elevated risk of total mortality (1.19; 1.11-1.28), cardiovascular mortality (1.15; 1.00-1.32), cardiovascular disease (1.09; 1.05-1.13), and coronary heart disease (1.14; 1.00-1.30), but not for stroke (1.04; 0.87-1.23).
Active smoking is associated with significantly increased risks of total mortality and cardiovascular events among diabetic patients, whereas smoking cessation is associated with reduced risks in comparison with current smoking. The findings provide strong evidence for the recommendation of quitting smoking among diabetic patients.
The relation between sugar-sweetened beverages (SSBs) and body weight remains controversial.
We conducted a systematic review and meta-analysis to summarize the evidence in children and adults.
We ...searched PubMed, EMBASE, and Cochrane databases through March 2013 for prospective cohort studies and randomized controlled trials (RCTs) that evaluated the SSB-weight relation. Separate meta-analyses were conducted in children and adults and for cohorts and RCTs by using random- and fixed-effects models.
Thirty-two original articles were included in our meta-analyses: 20 in children (15 cohort studies, n = 25,745; 5 trials, n = 2772) and 12 in adults (7 cohort studies, n = 174,252; 5 trials, n = 292). In cohort studies, one daily serving increment of SSBs was associated with a 0.06 (95% CI: 0.02, 0.10) and 0.05 (95% CI: 0.03, 0.07)-unit increase in BMI in children and 0.22 kg (95% CI: 0.09, 0.34 kg) and 0.12 kg (95% CI: 0.10, 0.14 kg) weight gain in adults over 1 y in random- and fixed-effects models, respectively. RCTs in children showed reductions in BMI gain when SSBs were reduced random and fixed effects: -0.17 (95% CI: -0.39, 0.05) and -0.12 (95% CI: -0.22, -0.2), whereas RCTs in adults showed increases in body weight when SSBs were added (random and fixed effects: 0.85 kg; 95% CI: 0.50, 1.20 kg). Sensitivity analyses of RCTs in children showed more pronounced benefits in preventing weight gain in SSB substitution trials (compared with school-based educational programs) and among overweight children (compared with normal-weight children).
Our systematic review and meta-analysis of prospective cohort studies and RCTs provides evidence that SSB consumption promotes weight gain in children and adults.
To examine and quantify the potential dose-response relationship between red and processed meat consumption and risk of all-cause, cardiovascular and cancer mortality.
We searched MEDLINE, Embase, ...ISI Web of Knowledge, CINHAL, Scopus, the Cochrane library and reference lists of retrieved articles up to 30 November 2014 without language restrictions. We retrieved prospective cohort studies that reported risk estimates for all-cause, cardiovascular and cancer mortality by red and/or processed meat intake levels. The dose-response relationships were estimated using data from red and processed meat intake categories in each study. Random-effects models were used to calculate pooled relative risks and 95 % confidence intervals and to incorporate between-study variations.
Nine articles with seventeen prospective cohorts were eligible in this meta-analysis, including a total of 150 328 deaths. There was evidence of a non-linear association between processed meat consumption and risk of all-cause and cardiovascular mortality, but not for cancer mortality. For processed meat, the pooled relative risk with an increase of one serving per day was 1·15 (95 % CI 1·11, 1·19) for all-cause mortality (five studies; P<0·001 for linear trend), 1·15 (95 % CI 1·07, 1·24) for cardiovascular mortality (six studies; P<0·001) and 1·08 (95 % CI 1·06, 1·11) for cancer mortality (five studies; P<0·001). Similar associations were found with total meat intake. The association between unprocessed red meat consumption and mortality risk was found in the US populations, but not in European or Asian populations.
The present meta-analysis indicates that higher consumption of total red meat and processed meat is associated with an increased risk of total, cardiovascular and cancer mortality.
The 2015-2020 Dietary Guidelines for Americans recommend multiple healthy eating patterns. However, few studies have examined the associations of adherence to different dietary patterns with ...long-term risk of cardiovascular disease (CVD).
To examine the associations of dietary scores for 4 healthy eating patterns with risk of incident CVD.
Prospective cohort study of initially healthy women from the Nurses' Health Study (NHS) (1984-2016) and the NHS II (1991-2017) and men from the Health Professionals Follow-up Study (HPFS) (1986-2012). The dates of analysis were July 25 to December 4, 2019.
Healthy Eating Index-2015 (HEI-2015), Alternate Mediterranean Diet Score (AMED), Healthful Plant-Based Diet Index (HPDI), and Alternate Healthy Eating Index (AHEI).
Cardiovascular disease events, including fatal and nonfatal coronary heart disease (CHD) and stroke.
The final study sample included 74 930 women in the NHS (mean SD baseline age, 50.2 7.2 years), 90 864 women in the NHS II (mean SD baseline age, 36.1 4.7 years), and 43 339 men in the HPFS (mean SD baseline age, 53.2 9.6 years). During a total of 5 257 190 person-years of follow-up, 23 366 incident CVD cases were documented (18 092 CHD and 5687 stroke) (some individuals were diagnosed as having both CHD and stroke). Comparing the highest with the lowest quintiles, the pooled multivariable-adjusted hazard ratios (HRs) of CVD were 0.83 (95% CI, 0.79-0.86) for the HEI-2015, 0.83 (95% CI, 0.79-0.86) for the AMED, 0.86 (95% CI, 0.82-0.89) for the HPDI, and 0.79 (95% CI, 0.75-0.82) for the AHEI (P for trend <.001 for all). In addition, a 25-percentile higher dietary score was associated with 10% to 20% lower risk of CVD (pooled HR, 0.80 95% CI, 0.77-0.83 for the HEI-2015; 0.90 95% CI, 0.87-0.92 for the AMED; 0.86 95% CI, 0.82-0.89 for the HPDI; and 0.81 95% CI, 0.78-0.84 for the AHEI). These dietary scores were statistically significantly associated with lower risk of both CHD and stroke. In analyses stratified by race/ethnicity and other potential risk factors for CVD, the inverse associations between these scores and risk of CVD were consistent in most subgroups.
In 3 large prospective cohorts with up to 32 years of follow-up, greater adherence to various healthy eating patterns was consistently associated with lower risk of CVD. These findings support the recommendations of the 2015-2020 Dietary Guidelines for Americans that multiple healthy eating patterns can be adapted to individual food traditions and preferences.
Previous meta-analyses identified an inverse association of coffee consumption with the risk of type 2 diabetes. However, an updated meta-analysis is needed because new studies comparing the trends ...of association for caffeinated and decaffeinated coffee have since been published.
PubMed and Embase were searched for cohort or nested case-control studies that assessed the relationship of coffee consumption and risk of type 2 diabetes from 1966 to February 2013. A restricted cubic spline random-effects model was used.
Twenty-eight prospective studies were included in the analysis, with 1,109,272 study participants and 45,335 cases of type 2 diabetes. The follow-up duration ranged from 10 months to 20 years. Compared with no or rare coffee consumption, the relative risk (RR; 95% CI) for diabetes was 0.92 (0.90-0.94), 0.85 (0.82-0.88), 0.79 (0.75-0.83), 0.75 (0.71-0.80), 0.71 (0.65-0.76), and 0.67 (0.61-0.74) for 1-6 cups/day, respectively. The RR of diabetes for a 1 cup/day increase was 0.91 (0.89-0.94) for caffeinated coffee consumption and 0.94 (0.91-0.98) for decaffeinated coffee consumption (P for difference = 0.17).
Coffee consumption was inversely associated with the risk of type 2 diabetes in a dose-response manner. Both caffeinated and decaffeinated coffee was associated with reduced diabetes risk.
It remains unclear how many hours of sleep are associated with the lowest risk of type 2 diabetes. This meta-analysis was performed to assess the dose-response relationship between sleep duration and ...risk of type 2 diabetes.
PubMed and Embase were searched up to 20 March 2014 for prospective observational studies that assessed the relationship of sleep duration and risk of type 2 diabetes. Both semiparametric and parametric methods were used.
Ten articles with 11 reports were eligible for inclusion in the meta-analysis. A total of 18,443 incident cases of type 2 diabetes were ascertained among 482,502 participants with follow-up periods ranging from 2.5 to 16 years. A U-shaped dose-response relationship was observed between sleep duration and risk of type 2 diabetes, with the lowest risk observed at a sleep duration category of 7-8 h per day. Compared with 7-h sleep duration per day, the pooled relative risks for type 2 diabetes were 1.09 (95% CI 1.04-1.15) for each 1-h shorter sleep duration among individuals who slept <7 h per day and 1.14 (1.03-1.26) for each 1-h increment of sleep duration among individuals with longer sleep duration.
Our dose-response meta-analysis of prospective studies shows a U-shaped relationship between sleep duration and risk of type 2 diabetes, with the lowest type 2 diabetes risk at 7-8 h per day of sleep duration. Both short and long sleep duration are associated with a significantly increased risk of type 2 diabetes, underscoring the importance of appropriate sleep duration in the delay or prevention of type 2 diabetes.
There has been a trend towards increased dining out in many countries. Consuming food prepared out of the home has been linked to poor diet quality, weight gain, and diabetes risk, but whether having ...meals prepared at home (MPAH) is associated with risk of type 2 diabetes (T2D) remains unknown.
We followed 58,051 women (from 1986 to 2012) and 41,676 men (from 1986 to 2010) in two prospective cohort studies of health professionals. Frequencies of consuming midday or evening MPAH were assessed at baseline and during follow-up. Incident T2D was identified through self-report and confirmed using a validated supplementary questionnaire. During 2.1 million person-years of follow-up, 9,356 T2D cases were documented. After adjusting for demographic, socioeconomic, and lifestyle factors, hazard ratios (HRs) and 95% confidence intervals (95% CIs) of T2D were 1 (reference), 0.93 (0.88-0.99), 0.96 (0.90-1.03), and 0.86 (0.81-0.91) for those eating 0-6, 7-8, 9-10, and 11-14 MPAH (p-trend < 0.001) per week, respectively. Participants eating 5-7 midday MPAH had 9% lower T2D risk than those with 0-2 midday MPAH, and participants having 5-7 evening MPAH had 15% lower risk than those with 0-2 evening MPAH (both p-trend < 0.001). In the first 8 y of follow-up, women and men who consumed 11-14 MPAH per week had 0.34 kg (95% CI: 0.15-0.53; p < 0.001) and 1.23 kg (95% CI: 0.92-1.54) less weight gain than those with 0-6 MPAH, respectively. Among participants who were nonobese (body mass index BMI < 30 kg/m2) at baseline, pooled HR (95% CI) of developing obesity (BMI ≥ 30 kg/m2) was 0.86 (0.82-0.91; p-trend < 0.001) when extreme MPAH groups (11-14 MPAH versus 0-6 MPAH) were compared. When midday and evening MPAH were analyzed separately, HRs comparing extreme groups (5-7 MPAH versus 0-2 MPAH) were 0.93 (95% CI: 0.89-0.97, p-trend = 0.003) for midday MPAH and 0.76 (95% CI: 0.70-0.83; p-trend < 0.001) for evening MPAH. Further adjusting for BMI during follow-up attenuated the association between MPAH and T2D risk: the HR (95% CI) for participants with 11-14 MPAH was 0.95 (0.89-1.01, p-trend = 0.13). The main limitations of our study were that it lacked assessments on individual foods constituting the MPAH and that the findings were limited to health professionals with a relatively homogeneous socioeconomic status.
In two large prospective cohort studies, frequent consumption of MPAH is associated with a lower risk of developing T2D, and this association is partly attributable to less weight gain linked with this dining behavior.
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