Poor Dietary Quality is Associated with Low Adherence to Gestational Weight Gain Recommendations among Women in Sweden

Dietary patterns during pregnancy in relation to maternal dietary intake: The Mutaba'ah Study

AIM

To relate adherence to healthy dietary patterns, evaluated by different dietary indices, to the intake of nutrients and food groups among pregnant women in the United Arab Emirates.

METHODS

The analyses included 1122 pregnant women from the Mutaba'ah Study. Dietary intake was assessed using a semi-quantitative Food Frequency Questionnaire. Adherence to three dietary pattern indices was assessed; Alternate Healthy Eating Index for Pregnancy (AHEI-P), Alternate Mediterranean Diet (aMED) and Dietary Approaches to Stop Hypertension (DASH). Associations between adherence (score >median) to the three dietary indices and intake of nutrients and food groups were analyzed using logistic regression analysis.

RESULTS

Women with higher intake of polyunsaturated fatty acids, fiber, vegetables, fruits, legumes, and nuts and lower intake of saturated fatty acids, red meat, and sweetened beverages had significantly higher odds of adherence to all three dietary patterns (p<0.05). Associations between intakes of nutrients and food groups with odds of adherence to the dietary patterns differed for total fat (only with AHEI-P, [odds ratio [OR]: 0.96; 95% confidence interval [CI]: 0.94-0.98]) and monounsaturated fatty acids (only with aMED, [OR: 1.06; 95% CI: 1.02-1.10]), dairy (with AHEI-P [OR: 0.89; 95% CI: 0.84-0.95] and aMED [OR: 0.86; 95% CI: 0.81-0.91], and with DASH [OR: 1.10; 95% CI: 1.04-1.17]), whole grain (only with aMED [OR: 2.19; 95% CI: 1.61-2.99] and DASH [OR: 4.27; 95% CI: 3.04-5.99]) and fish (with AHEI-P [OR: 1.36; 95% CI: 1.02-1.80] and aMED [OR: 1.79; 95% CI: 1.35-2.38], and with DASH [OR: 0.67; 95% CI: 0.52-0.86]).

CONCLUSION

Adherence to the three dietary pattern indices was generally associated with a favorable intake of nutrients and food groups. However, the indices captured slightly different aspects of dietary intake. These results show that dietary indices that assess adherence to healthy dietary patterns cannot be used interchangeably.

Nutritional intake and determinants of nutritional quality changes from pregnancy to postpartum-a longitudinal study

Nutrient requirements vary across the reproductive cycle, but research on changes in nutritional intake and quality from pregnancy to beyond the lactation period is limited. Thus, we aimed to study nutritional intake and quality changes, among Swedish pregnant participants from late pregnancy to 18 months postpartum and to study the determinants of nutritional quality changes. Participants (n = 72) were studied longitudinally from the third trimester of pregnancy and postpartum (2 weeks 4, 12, and 18 months postpartum). At each visit, participant characteristics and 4-day food diaries were collected. Nutritional quality was assessed by energy adjusted Nutrient Rich Food Index 11.3. Linear mixed models were used to analyze the determinants of change in nutritional quality. Intakes of carbohydrate energy percentage (E%), fiber, vitamin A, vitamin C, and potassium were higher in the third trimester compared to postpartum, whereas intakes of E% protein and monounsaturated fat were lower. Adherence to recommended intakes was low at all study visits for saturated fat (4%-11%), fiber (15%-39%), vitamin D (8%-14%), folate (0%-2%), and iron (6%-21%). Overall, nutritional quality did not differ significantly from third trimester to postpartum. Shorter duration (<4 months) of lactation was negatively related to nutritional quality changes, whereas higher age was positively related to changes. In conclusion, nutritional intake from pregnancy to postpartum changed, whereas quality remained relatively stable, with age and lactation duration as determinants. Identification of people at risk of adverse dietary changes from pregnancy to the postpartum period should be further addressed in future larger and more diverse study populations.

Dietary Quality Indices in Early Pregnancy and Rate of Gestational Weight Gain among a Prospective Multi-Racial and Ethnic Cohort

Meeting the Institute of Medicine (IOM) gestational weight gain (GWG) guidelines is associated with a reduced risk of adverse perinatal outcomes. Overall diet quality comprehensively assesses dietary components and accounts for interactions between them. While GWG is influenced by maternal diet, its association with overall diet quality-measured by various dietary quality indices-is not well-defined. We prospectively estimated the relationship between four established dietary quality indices and the risk of GWG rate above (excessive) or below (inadequate) IOM guidelines in a multi-racial and ethnic cohort of 2914 pregnant people from the Pregnancy Environment and Lifestyle Study (2014-2019). We assessed diet quality using the Healthy Eating Index 2010 (HEI-2010), alternate Mediterranean Diet (aMED), Dietary Approaches to Stop Hypertension (DASH), and Empirical Dietary Inflammatory Index (EDIP). Following the first trimester, 56% of the cohort had excessive GWG, and 14% had inadequate GWG. Poor diet quality (below the 75th percentile), measured by HEI-2010, was associated with a higher risk of excessive GWG in the second and third trimesters [RR = 1.03 (1.00, 1.06)]. Effect modification of this relationship by race and ethnicity and pre-pregnancy BMI was assessed. We found poor diet quality to be associated with elevated risk of excessive GWG among Black participants [RR = 1.14 (1.02, 1.28)] and White participants [RR 1.07 (1.01, 1.12)]. This was also the case for participants with pre-pregnancy BMI < 25.0 [RR 1.05 (1.00, 1.10)]. These results suggest that diet quality measured by the HEI-2010 is associated with excessive GWG, and the associations appear to be stronger among pregnant people without overweight or obesity and pregnant people who identify as Black or White race and ethnicity.

Association between 1st trimester diet quality & gestational weight gain rate among pregnant women in Dhulikhel, Nepal

BACKGROUND

Despite promising data from high-income countries, the impact of diet quality on gestational weight gain (GWG) has not been investigated in the context of many low-income countries including Nepal.

METHODS

We prospectively examined the association between 1st trimester diet quality and GWG rate among a cohort of singleton pregnant women (n = 101; age 25.9 ± 4.1 years) from a community-based periurban hospital in Dhulikhel, Nepal. Diet quality was assessed from the adapted Nepali version of the 21-item PrimeScreen questionnaire in the 1st trimester. The diet quality score is based on consumption frequency of 21 food group components (score ranging 0-42), categorized as healthy (12 groups) versus unhealthy (9 groups), with higher scores indicative of better overall diet quality. The GWG rate was calculated as the measured weight at early-to-mid 3rd trimester (28-35 wks) minus the weight at 2nd trimester (13-25 wks), divided by the number of weeks in between. Linear regression estimated the association between diet quality and GWG rate, adjusting for a priori covariates (i.e. age, education, ethnicity, pre-pregnancy BMI, and nausea/vomiting.) RESULTS: The mean GWG rate in mid-to-late pregnancy was 0.46 ± 0.2 kg/wk and the mean diet quality score was 23.6 ± 2.5. Based on pre-pregnancy BMI, 49.4% of women had excessive GWG rate, while nearly equal numbers had either adequate GWG or inadequate GWG rate. There was no significant association between diet quality and GWG rate [adjusted β (95% CI) = -0.02 (-0.05, 0.01); p = 0.14]. The mean GWG rate was marginally higher (0.57 vs. 0.44 kg/wk; p = 0.06) among those with high versus low (2 + servings vs. 0-1 serving/wk) intake of red meat; similar findings were seen when comparing red meat intake between women with excessive versus adequate GWG (Cramer's V = 0.2; p = 0.06).

CONCLUSIONS

While 1st trimester diet quality is not related to GWG among Nepali women, a high intake of red meat may be a potential risk factor for excessive GWG in this population.

Healthier diet associated with reduced risk of excessive gestational weight gain: A Chinese prospective cohort study

Limited studies have examined the associations between diet quality and gestational weight gain (GWG) among Chinese pregnant women, adopting Chinese GWG guidelines. We prospectively investigate the associations of diet quality, using the Chinese Healthy Diet Index for Pregnancy (CHDI-P), which assessed diet quality from 'Diversity', 'Adequacy' and 'Limitation' dimensions with overall 100 points, with GWG among participants enroled in Southwest China. Food consumption was collected by 24 h dietary recalls for three consecutive days and CHDI-P scores were divided into tertiles. GWG was calculated according to the weight measured before delivery and classified into adequate weight gain (AWG), insufficient weight gain (IWG) and excessive weight gain(EWG) following Chinese GWG guidelines. Multinomial regression analyses and stratified analyses by pre-pregnancy body mass index were performed to estimate the association between CHDI-P and GWG. A total of 1416 participants were recruited in early pregnancy, and 971 and 997 participants were respectively followed up in middle and late pregnancy. The mean CHDI-P score was 56.44 ± 6.74, 57.07 ± 7.44 and 57.38 ± 7.94 points in early, middle and late pregnancy, respectively. Women in the lowest CHDI-P scores group had an increased risk of EWG in middle (OR = 1.53, 95% confidence interval [CI] = 1.08-2.17) and late pregnancy (OR = 1.71, 95% CI = 1.21-2.41) than women in the highest group, while overweight/obese women had a greater risk of EWG in late pregnancy (OR = 4.25, 95% CI = 1.30-13.90). No association was found between the CHDI-P scores and IWG. Poor diet quality in middle and late pregnancy was associated with a higher risk of EWG.

The Association between Dietary Patterns and Pre-Pregnancy BMI with Gestational Weight Gain: The "Born in Shenyang" Cohort

The reported associations of maternal dietary patterns during pregnancy with gestational weight gain are inconsistent, especially among the less studied Asian Chinese populations. In a prospective pre-birth cohort study conducted in northern China, we determined the associations between maternal dietary patterns and the probability of excess gestational weight gain (EGWG) among 1026 pregnant women. We used 3-day food diaries to assess maternal diet and performed principal component analysis to identify dietary patterns. Maternal adherence to a traditional pattern, which was characterized by a higher intake of tubers, vegetables, fruits, red meat, and rice, was associated with a higher probability of EGWG (quartile 3 vs. quartile 1, odds ratio [OR] = 1.62, 95% confidence interval [CI] = 1.10−2.38). This risk association was more pronounced among women who were overweight/obese before pregnancy (quartile 4 vs. quartile 1, OR = 5.17, 95% CI = 1.45−18.46; p for interaction < 0.01). Maternal adherence to a high protein pattern, which was characterized by a higher intake of fried foods, beans and bean products, dairy products, and fruits, was associated with a lower risk of EGWG (quartile 3 vs. quartile 1, OR = 0.56, 95% CI, 0.39−0.81). The protective association was more pronounced among non-overweight/obese women (p for interaction < 0.01). These findings may help to develop interventions and better define target populations for EGWG prevention.

Dietary Diversity Among Pregnant Women in Gurage Zone, South Central Ethiopia: Assessment Based on Longitudinal Repeated Measurement

Purpose

Dietary diversity is a key proxy indicator of nutrient adequacy; however, limited studies have been done on it among pregnant women in Ethiopia. The study aimed to examine the prevalence of sub-optimal dietary diversity and its associated factors among pregnant women in Gurage zone, South Central Ethiopia.

Materials and Methods

A mixed-method approach, a longitudinal study complemented with an exploratory qualitative study, was conducted. In the longitudinal study, a consecutively included sample of 668 pregnant women was followed in three rounds of survey. Dietary diversity was assessed using the minimum dietary diversity score for women (MDD-W) tool. The average of three dietary diversity scores was used to define overall diversity. Consuming less than 5 of 10 standard food groups was considered as suboptimal dietary diversity. Multivariable logistic regression analysis was used to identify predictors of suboptimal dietary diversity. Qualitative data were analysed using the thematic analysis method.

Results

During the 16 to 20, 28 to 29 and 36 to 37 weeks of gestation surveys, 75.0, 78.7 and 76.5% of the women had sub-optimal dietary diversity. In aggregate, 84.4% (95% CI: 81.6, 87.3) of the women had sub-optimal dietary diversity. Rural residents (AOR: 1.91, 95% CI: 1.01, 3.62), women with no formal education (AOR: 5.51, 95% CI: 1.96, 15.53) and from food insecure households (AOR: 2.44, 95% CI: 1.07, 5.59) had higher odds of suboptimal dietary diversity. Women with higher nutritional knowledge (AOR: 0.92, 95% CI: 0.87, 0.98) were less likely to have suboptimal dietary diversity. Food taboos, poor nutritional literacy and pregnancy complications were also reported as factors affecting dietary diversity.

Conclusion

Majority of pregnant women in the area had sub-optimal dietary diversity. Improving the socio-economic status and promoting nutrition knowledge may improve women's dietary diversity.

Impact of Diet Quality during Pregnancy on Gestational Weight Gain and Selected Adipokines-Results of a German Cross-Sectional Study

While nutrition during pregnancy is critical for the health of both mother and child, little is known about the diet quality of women during pregnancy, its correlation with gestational weight gain (GWG)/body composition, and chosen maternal adipokines. Therefore, we evaluated the Healthy Eating Index (HEI) of 110 pregnant women and analyzed its correlation with GWG/body composition, physical activity, leptin, resistin, adiponectin, and interleukin 6 (IL-6), respectively. Diet quality was medium in 63% of women, characterized by a high intake of animal-based products. HEI was negatively influenced by pre-pregnancy obesity (β = −0.335, p = 0.004), and positively influenced by higher age (>35 yrs., β = 0.365, p ≤ 0.001), upper arm circumference (β = 0.222, p = 0.052), and total activity during the third trimester (β = 0.258, p = 0.008). GWG was associated with pre-pregnancy obesity (β = −0.512, p ≤ 0.001), thigh circumference (β = 0.342, p = 0.007), upper arm fat area (β = 0.208, p = 0.092), and maternal age group (>35 yrs. β = −0.166, p = 0.082), but not with HEI. Leptin and IL-6 displayed associations with variables representative of body composition, such as pre-pregnancy BMI, thigh circumference, upper arm fat area, and upper arm circumference, but were not influenced by HEI. Neither were adiponectin and resistin. IL-6 was also associated with total activity. In conclusion, GWG, leptin, and IL-6 were influenced by nutritional status (body composition/pre-pregnancy BMI), not by maternal diet. Physical activity level also had an impact on IL-6. Thus, efforts should be intensified to improve diet quality and participation in sports before and during pregnancy, particularly in overweight or obese women.

The Relationship of Diet and Physical Activity with Weight Gain and Weight Gain Prevention in Women of Reproductive Age

Reproductive-age women often see increased weight gain, which carries an increased risk of long-term overweight and obesity and adverse maternal and child health outcomes. Supporting women to achieve optimal weight through lifestyle modification (diet and physical activity) is of critical importance to reduce weight gain across key reproductive life-stages (preconception, pregnancy and postpartum). This review comprehensively summarizes the current state of knowledge on the contribution of diet and physical activity to weight gain and weight gain prevention in reproductive-aged women. Suboptimal diets including a higher proportion of discretionary choices or energy intake from fats, added sugars, sweets or processed foods are associated with higher weight gain, whereas increased consumption of core foods including fruits, vegetables and whole grains and engaging in regular physical activity are associated with reduced weight gain in reproductive age women. Diet and physical activity contributing to excessive gestational weight gain are well documented. However, there is limited research assessing diet and physical activity components associated with weight gain during the preconception and postpartum period. This review highlights the need for further research to identify key dietary and physical activity components targeting the critical windows of reproductive life-stages in women to best guide interventions to prevent weight gain.

Consumption of healthy food and ultra-processed products: comparison between pregnant and non-pregnant women, Vigitel 2018

Abstract Objectives: to characterize pregnant women’s eating habits and compare them to women of reproductive age, and to analyze the association between pregnancy and eating habits. Methods: a cross-sectional study with 13,108 women aged 18 to 50 years (179 pregnant women), included in the Vigitel 2018 telephone survey. Eating habits were assessed by the frequency of food consumption considered as food quality markers and by food eaten in previous day. NOVA classification was used to categorize food into: natural/minimally processed, and ultra-processed food products. The differences were verified by Pearson's Chi-square test and Poisson multiple regression. Results: in pregnant women, we observed lower percentages of natural juice intake (27.5%) and fruit (10.1%) 0-2 times/week, and higher percentages of juice (36.4%) 3-4 times and fruit (74.2%) ≥ 5 times/week compared to non-pregnant women. No differences were detected in the daily frequencies of food intake among the women. The day before the interview, almost 95% of the pregnant women consumed ultra-processed products. Pregnant women reported a lower frequency of soft drink consumption (12.3%) and sauces (7.4%) than non-pregnant women. Conclusion: pregnant women and non-pregnant women had high consumption of ultraprocessed products, highlighting the necessity of interventions, aiming to promote healthy eating.