American Journal of Clinical Nutrition最新文献

Background: Spot urine collection offers a convenient alternative to the more cumbersome 24-h urine collection. However, the widely recognized estimation models, such as Tanaka and International Cooperative Study on Salt, Other Factors, and Blood Pressure (INTERSALT), have not been adequately adapted for widespread use in the general Chinese population.

Objectives: This study was designed to evaluate the precision of the Tanaka and INTERSALT calibration models, alongside a locally Zhejiang Province-formulated model, in predicting 24-h urinary sodium (24-hUNa) excretion among the Chinese population.

Methods: The study comprised 1424 participants, aged 18-69 y, who provided both comprehensive 24-h urine and fasting morning urine samples. The researchers assessed the accuracy of the measured 24-hUNa against the estimates obtained from the Tanaka, INTERSALT, and Zhejiang models. This evaluation was conducted at both population and individual levels, employing a range of statistical techniques, including bias analysis, correlation coefficients, intraclass correlation coefficients, receiver operating characteristic curves, Bland-Altman plots, as well as relative and absolute difference calculations, and misclassification rates.

Results: The measured average 24-hUNa excretion was found to be 165.7 ± 71.5 mmol/24-h. Notably, there was a significant deviation between the estimated and measured values for the Tanaka-adjusted model [-11.7 mmol, 95% confidence interval (CI): -16.7, -6.7 mmol/24-h], indicating a statistically significant difference. In contrast, the deviations for the INTERSALT-adjusted model (0.6 mmol, 95% CI: -4.2, 5.4 mmol/24-h) and the Zhejiang model (0.2 mmol, 95% CI: -4.6, 5.0 mmol/24-h) were nonsignificant. The correlation coefficients for the models were 0.303, 0.398, and 0.391, respectively, with the INTERSALT-adjusted and Zhejiang models showing superior performance at the population level.

Conclusions: The 3 evaluation models may serve as effective, low-burden alternatives for assessing urinary sodium levels in the population. However, to enhance the accuracy and reliability of predictions at the individual level, further repeated measurements are necessary to minimize measurement errors and augment the validity of the estimations.

Background: Undernutrition during pregnancy increases the risk of giving birth to a small vulnerable newborn. Small-quantity lipid-based nutrient supplements (SQ-LNSs) contain both macro- and micronutrients and can help prevent multiple nutritional deficiencies.

Objectives: We examined the effects of SQ-LNSs provided during pregnancy compared with 1) iron and folic acid or standard of care (IFA/SOC) or 2) multiple micronutrient supplements (MMSs) and identified characteristics that modified the estimates of effects of SQ-LNSs on birth outcomes.

Methods: We conducted a 2-stage meta-analysis of individual participant data from 4 randomized controlled trials of SQ-LNSs provided during pregnancy (n = 5273). We generated study-specific and subgroup estimates of SQ-LNS compared with IFA/SOC or MMS and pooled the estimates. In sensitivity analyses, we examined whether the results differed depending on methods for gestational age dating, birth anthropometry, or study design.

Results: SQ-LNSs (compared with IFA/SOC) increased birth weight [mean difference: +49 g; 95% confidence interval (CI): 26, 71 g] and all birth anthropometric z-scores (+0.10-0.13 standard deviation); they reduced risk of low birth weight by 11%, newborn stunting by 17%, newborn wasting by 11%, and small head size by 15%. Only 2 trials compared SQ-LNSs and MMSs; P values for birth outcomes were >0.10 except for head circumference (e.g., z-score for gestational age: +0.11; 95% CI: -0.01, 0.23). Effect estimates for SQ-LNSs compared with IFA/SOC were greater among female infants and, for certain outcomes, among mothers with body mass index <20 kg/m², inflammation, malaria, or household food insecurity. Effect estimates for SQ-LNSs compared with MMSs were greater for certain outcomes among female infants, first-born infants, and mothers <25 y.

Conclusions: SQ-LNSs had positive impacts on multiple outcomes compared to IFA/SOC, but further research directly comparing SQ-LNSs and MMSs is needed. Targeting SQ-LNSs to vulnerable subgroups may be worth considering.

Clinical trial registry: This study was registered at PROSPERO as CRD42021283391.

Background: Crossover studies can induce order effects, especially when they lack a washout period.

Objectives: We performed secondary analyses comparing groups of subjects randomly assigned to different diet orders in 2 inpatient crossover studies originally designed to compare within-subject differences in ad libitum energy intake. One study compared minimally processed low-carbohydrate (LC) compared with low-fat (LF) diets, and the other matched macronutrients and compared minimally processed food (MPF) with ultraprocessed food (UPF) diets.

Methods: Diet order group comparisons of changes in body weight and body composition, and differences in energy expenditure and food intake were assessed over 4 wk in 20 adults randomly assigned to either the LC followed immediately by the LF diet (LC → LF) or the opposite order (LF → LC), and 20 adults randomly assigned to either the MPF followed by the UPF (MPF → UPF) diets or the opposite order (UPF → MPF).

Results: Subjects randomly assigned to LC → LF lost 2.9 ± 1.1 kg more body weight (P <0.001) and 1.5 ± 0.6 kg more body fat (P = 0.03) than the LF → LC group, likely because the LC → LF group consumed 921 ± 304 kcal/d less than the LF → LC group (P = 0.003). These energy intake differences were driven by the last 2 wk (-1610 ± 312 kcal/d; P < 0.0001), perhaps because of carryover effects of gut adaptations during the first 2 wk arising from large differences in the mass of food (1296 ± 215 g/d; P <0.00001) and fiber consumed (58 ± 6 g/d; P <0.00001). There were no significant diet order effects on energy intake, body weight, or body composition changes between UPF → MPF and MPF → UPF groups.

Conclusions: Diet order significantly affected energy intake, body weight, and body fat in a 4-wk crossover inpatient diet study varying in macronutrients, but not in a similarly structured study varying in ultraprocessed foods. This trial was registered at clinicaltrials.gov as NCT03407053 and NCT03878108.

Background: Cancer and cardiovascular disease share common lifestyle risk factors. However, it remains unclear whether cardiovascular health (CVH) evaluated by Life's Essential 8 can predict cancer risk, and attenuate the influence of genetic susceptibility on cancer.

Objectives: We aimed to evaluate independent and joint associations of CVH and polygenic risk score (PRS) with risks of overall and site-specific cancers.

Methods: We undertook a population-based cohort study based on the UK Biobank. The CVH score was constructed by physical activity, body mass index, nicotine exposure, sleep, diet, blood pressure, lipid profile, and blood glucose. PRSs were assessed individually for 18 cancer types by their independent single-nucleotide polymorphisms previously identified in genome-wide association studies. Multivariable Cox proportional-hazards models were applied to explore the independent and joint associations of CVH and PRS with cancer incidence risk. The results were displayed as hazard ratio (HR) and 95% confidence interval (CI).

Results: Compared with low CVH, high CVH was associated with decreased risks of overall cancer and the majority of common cancers, including digestive system [HRs (95% CI): 0.33 (0.23, 0.45)-0.66 (0.58, 0.75)], lung (HR: 0.25; 95% CI: 0.21, 0.31), renal (HR: 0.42; 95% CI: 0.32, 0.56), bladder (HR: 0.55; 95% CI: 0.44, 0.69), breast (HR: 0.83; 95% CI: 0.74, 0.92), and endometrial cancers (HR: 0.39; 95% CI: 0.30, 0.51). For overall cancer in males, there was an interaction between CVH and PRS. Notably, individuals with high CVH across all levels of PRS had lower risks of overall cancer for females and 8 site-specific cancers than those with low CVH and high PRS [HRs (95% CIs): 0.18 (0.12, 0.25)-0.79 (0.71, 0.87)].

Conclusions: High CVH was related to decreased risks of overall cancer and multiple cancers regardless of genetic predispositions. Our findings underscored the value of improving CVH for cancer prevention in the general population.

Background: The potential role of n-6 PUFAs in major health outcomes remains controversial.

Objectives: To examine the relationship between the major plasma n6 PUFA, linoleic acid (LA), as well as the non-LA n6 PUFAs, and total and cause-specific mortality.

Methods: This was a prospective, observational, biomarker-based study in the UK Biobank. Individuals with complete information on baseline demographic, covariate and plasma PUFA levels (percent ot total fatty acids) and mortality outcomes were included (n=257,925). Multivariable-adjusted, Cox-proportional hazards models were used to predict risk of death from all-causes, and from cardiovascular disease (CVD), cancer, and other causes as a function of plasma LA and non-LA n6 levels, both continuously and by PUFA quintile (Q).

Results: Comparing LA Q5 to Q1, the hazard ratio (HR, 95% CI) for total mortality was 0.80 (0.76, 0.84; p<0.001), and this was similar for all three cause-specific death categories. On the other hand, mortality HR for non-LA n6 was 1.12 (1.08,1.17; p<0.001), and this was primarily due to increased risk for non-CVD, noncancer deaths [HR 1.29 (1.19,1.40; p<0.001)]. Exploratory analyses among the eight next most common other causes of death suggested that both the decreased risk associated with higher LA and the increased risk associated with non-LA n6 were confined to deaths from respiratory and digestive diseases.

Conclusions: These findings highlight the profound differences in mortality risk related to LA and non-LA n6 PUFA levels and underscore the inappropriateness of treating n-6 PUFAs as a homogenous class with respect to health outcomes. They also support recommendations to maintain (if not increase) current LA intakes.

Food Is Medicine (FIM) interventions reflect the critical links between food security, nutrition security, health, and health equity, integrated into health care delivery. They comprise programs that provide nutritionally-tailored food, free of charge or at a discount, to support disease management, disease prevention, or optimal health, linked to the health care system as part of a patient's treatment plan. Such programs often prioritize health equity. On April 26-27, 2023, Tufts University's Gerald J. and Dorothy R. Friedman School of Nutrition Science and Policy and Food & Nutrition Innovation Institute held a two-day National Food is Medicine Summit with leaders, practitioners, and individuals with diverse lived experiences in health care, research, government, advocacy, philanthropy, and the private sector to identify challenges and opportunities to sustainably incorporate FIM services into the health care system and at scale. This report of a meeting describes key themes of the Summit, based on presentations and discussions on momentum around FIM, incorporating FIM in health care, tradeoffs and unintended consequences of various FIM models, scaling of programs, financing and payment mechanisms, educating and engaging the health care workforce, and federal and state government actions and opportunities on FIM. Speakers highlighted examples of recent public and private sector actions on FIM and innovative cross-sector partnerships, including state Medicaid waivers, academic and philanthropic research initiatives, health care system screenings and interventions, and collaborations including community-based organizations and/or entities outside of the food and health care sectors. Challenges and opportunities to broader implementation and scaling of FIM programs identified include incorporating FIM into health care business models, educating the health care workforce, and sustainably scaling FIM programs while leveraging the local connections of community-based organizations. This meeting report highlights recent advances, best practices, challenges, and opportunities discussed at the National Summit to inform future actions on FIM.