Do dietary patterns and morbidities have a relationship with primary infertility among women? A study from NFHS-4 (2015–16), India

2021 ◽  
pp. 1-16
Author(s):  
Sayeed Unisa ◽  
Kanchan Negi ◽  
Sucharita Pujari ◽  
Vaishali Chaurasia
Keyword(s):  
Dietary Patterns ◽  
Family Health ◽  
Severe Anaemia ◽  
Married Women ◽  
Leafy Vegetables ◽  
Thyroid Disorder ◽  
Daily Consumption ◽  
High Blood Glucose ◽  
Green Leafy Vegetables ◽  
Primary Infertility

Abstract This study assessed the rate of primary infertility and its associated factors among 402,807 currently married women aged 20–49 years in India using National Family Health Survey-4 data collected in 2015–2016. Dietary patterns and selected morbidities were included as independent variables, and socioeconomic variables were considered as covariates. Bivariate and multivariate analyses were done to estimate the prevalence of primary infertility and assess its association with the selected variables, respectively. The rate of primary infertility among currently married women in India in 2015–16 was 1.9% and this was significantly associated with younger age (<35 years), higher age at marriage (≥18 years), urban residence, higher secondary or above education and poverty. The consumption of dairy products (OR = 0.79, CI = 0.73–0.86), dark green leafy vegetables (OR = 0.57, CI = 0.39–0.81) and fruit (OR = 0.88, CI = 0.77–1.01) significantly reduced the odds of primary infertility. Daily consumption of fish and aerated drinks was related to 1.06–1.21 times higher odds of primary infertility. Overweight/obesity, high blood pressure and high blood glucose levels were associated with 1.08–1.21 times elevated odds of primary infertility. Thyroid disorder (OR = 1.38, CI = 1.21–1.60), heart disease (OR = 1.17, CI = 1.16–1.19) and severe anaemia (OR = 1.24, CI = 1.00–1.53) were associated with an increased likelihood of primary infertility among women (OR 1.17–1.39, CI 1.00–1.60). The findings provide compelling evidence that primary infertility among women is related to dietary patterns and morbidities. Interventions and programmes targeting the promotion of healthy diets and lifestyles could be beneficial in addressing the issue of primary infertility among women.

Abstract P189: Acculturation Status is Associated with Selected Plasma Nutrient Biomarkers of Dietary Intake and CVD Risk in Adult Chinese Americans

Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Nirupa R Matthan ◽  
Kyung-Jin Yeum ◽  
Sarah L Booth ◽  
Sonia Suchday ◽  
Judith Wylie-Rosett ◽  
...  
Keyword(s):  
Dietary Intake ◽  
Dietary Patterns ◽  
Chinese Americans ◽  
Assessment Tools ◽  
Leafy Vegetables ◽  
Cvd Risk ◽  
Green Leafy Vegetables ◽  
Hydrogenated Fat ◽  
Culture Identification ◽  
The Impact

The demographic changes anticipated in the U.S. over the next decade magnify the importance of addressing health disparities among minority populations. Chinese Americans are a fast growing minority subgroup, yet there is limited and inconsistent data on the impact of dietary acculturation and subsequent cardiovascular disease (CVD) risk in this population. This discrepancy could be related to the subjective nature of the assessment tools used to collect dietary data along with cultural/linguistic barriers to the implementation of these methods. We hypothesized that higher acculturation status will be associated with dietary patterns that more closely resemble the typical U.S. diet and subsequently with a higher risk of CVD in Chinese Americans (N=225). Dietary intake was evaluated using plasma concentrations of validated objective plasma nutrient biomarkers: phylloquinone for green leafy vegetables/vegetable oils and partially-hydrogenated fat; phospholipid concentrations of 15:0 and 20:4n-6 for dairy and meat, omega 3 for fish, trans (18:1n-9T, 18:1n-7T) for partially-hydrogenated fat; carotenoids for fruit and vegetables (F&V) including carotene (green/yellow/orange F&V), cryptoxanthin (orange/red F&V), lutein/zeaxanthin (green leafy vegetables), lycopene (tomatoes, mainly from pizza and pasta sauce); and isoflavones (genistein, diadzein) for soy containing foods. The biomarker data was then correlated with acculturation status (assessed using the Stephenson Multigroup Acculturation scale) as well as the CVD risk factor data. Results (for all r values, p<0.05) indicate that higher dominant culture identification was associated with higher 15:0, 18:1n-7T and lycopene intakes (r=0.11, r=0.14 and r=0.15, respectively), while higher ethnic culture identification was associated with higher plasma phylloquinone (r=0.12) and isoflavone (r=0.34) concentrations. With regard to CVD risk factors, plasma LDL-cholesterol was positively associated with 20:4n-6 (r=0.13) and inversely associated with lutein (r=-0.13) and zeaxanthin (r=-0.12) concentrations. Plasma triglyceride was positively associated with carotene (r=0.14); plasma insulin was also positively associated with carotene (r=0.15), lycopene (r=0.120 and 15:0 (r=0.11); while plasma glucose was positively associated with 18:1n-9T (r=0.16), 18:1n-7T (r=0.12) and zeaxanthin (r=0.20) concentrations. These results indicate that higher acculturation status is associated with dietary patterns that more closely resemble the typical U.S. diet, as reflected by higher concentrations of dietary biomarkers for meat, dairy and tomato based products and partially-hydrogenated fat intake; and lower fruit, vegetable and soy intake and subsequently an unfavorable CVD risk profile.

scholarly journals Dietary patterns of the elderly: characteristics and association with socioeconomic aspects

2016 ◽  
Vol 19 (6) ◽  
pp. 970-977 ◽  
Author(s):  
Jacqueline Danesio Souza ◽  
◽  
Marcos Vidal Martins ◽  
Fernanda Silva Franco ◽  
Karina Oliveira Martinho ◽  
...  
Keyword(s):  
Dietary Patterns ◽  
Family Health ◽  
Mixed Race ◽  
The Elderly ◽  
Cross Sectional Study ◽  
Leafy Vegetables ◽  
Elderly Persons ◽  
Cross Sectional ◽  
Socioeconomic Aspects ◽  
Years Of Schooling

Abstract Objective: To investigate the association between dietary patterns and the socioeconomic aspects of elderly patients registered with the Family Health Strategy in Viçosa, Minas Gerais. Method: A cross-sectional study with a probabilistic sample was employed. To identify dietary patterns, dietary intake was assessed through a Food Frequency Questionnaire (FFQ) adapted for an elderly population. From the FFQ dietary patterns were identified by factor analysis. After the identification of the dietary patterns, logistic regression was performed considering each different dietary pattern and the related socioeconomic variables. Results: The consumption of a Fat and sugar pattern was greater among women and lower in elderly persons who considered themselves as mixed race. The consumption of the Balanced pattern was also lower among mixed race, married individuals, with one to four years of schooling and from the CDE economic classes. The Fruit and fish pattern was less consumed by elderly persons with 1-4 years of schooling, while the opposite was observed among those with five years or more of study. But the consumption of a Leafy vegetables pattern was lower among those with five or more years of schooling. Conclusion: The evaluation of the consumption of dietary patterns and the establishment of a relationship with the socioeconomic aspects of the elderly helps to achieve a better understanding of risk and protective factors for health.

scholarly journals Association between Homocysteine-Related Dietary Patterns and Gestational Diabetes Mellitus: A Study Using the Reduced Rank Regression Method

2021 ◽  
Vol 9 (2) ◽  
Author(s):  
Hui W ◽  
◽  
Yu-Hong L ◽  
Ling-Peng L ◽  
Min-Hui Y ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Dietary Patterns ◽  
Regression Method ◽  
Leafy Vegetables ◽  
Meat Intake ◽  
Rank Regression ◽  
Green Leafy Vegetables ◽  
Mode 2

Background: This study aimed to evaluate the association between homocysteine-related dietary patterns and gestational diabetes mellitus. Methods: A total of 488 pregnant women at 24-28 weeks of gestation between January 2019 and December 2020 were included. Demographic characteristics, dietary intake, and multivitamin supplement intake information were collected using a food frequency questionnaire (FFQ); fasting venous blood samples were collected for serum index detection. Serum homocysteine (Hcy), folic acid, and B12 were selected as response variables, and hyperhomocysteinemia (hHcy)- related dietary patterns were extracted using the descending rank regression method. The relationship between the score of hHcy-related dietary patterns and GDM was analyzed using a multivariate logistic regression model. Results: Three hHcy-related dietary patterns were extracted: (mode 1) more meat, cattle meat intake, green leafy vegetables, dark vegetables and soy, and less consumption of shrimp. (mode 2) livestock meat, eggs and more grains, green leafy vegetables, bacteria, algae, dairy, and less nuts intake; and (model 3) livestock meat intake, and less soy intake. Because the explanatory variation of mode 3 was relatively small, it was not retained. Only mode 2 had a positive and significant relationship with the risk of developing GDM. After adjusting for confounding factors, the risk of GDM was significantly increased in the highest quartile array (OR=2.96, 95% Confidence Interval: 0.939-9.356, P=0.004). There was no significant correlation between dietary pattern 1 and GDM risk (P >0.05).

scholarly journals Assessing Dietary Intake Patterns Through Cluster Analysis Among Adolescents in Selected Districts of Bihar and Assam From India: A Cross-Sectional Survey

2021 ◽  
Vol 8 ◽  
Author(s):  
Shantanu Sharma ◽  
Sonali Maheshwari ◽  
Jitesh Kuwatada ◽  
Chandrashekhar ◽  
Sunil Mehra
Keyword(s):  
Cluster Analysis ◽  
Dietary Intake ◽  
Dietary Patterns ◽  
Urban Areas ◽  
Leafy Vegetables ◽  
Mixed Diet ◽  
Food Groups ◽  
Daily Consumption ◽  
Cross Sectional ◽  
Frequent Consumption

Background: In the recent decade, dietary pattern assessment has evolved as a promising tool to describe the whole diet and represent inter-correlations between different dietary components. We aimed to derive the dietary patterns of adolescents (10–19 years) using cluster analysis on food groups and evaluate these patterns according to their socio-demographic profile.Methods: This community-based cross-sectional study was conducted in two districts, each from Bihar and Assam in India. Adolescents (10–19 years) were enrolled from both rural and urban areas. The dietary intake was assessed through a pre-validated single food frequency questionnaire. Cluster analysis was performed by a 2-step procedure to explore dietary patterns, pre-fixed at 2 clusters. Clusters were analyzed with respect to socio-demographic characteristics using binomial logistic regression.Results: A total of 826 girls and 811 boys were enrolled in the study. We found two major dietary patterns, namely a low- and high-mixed diet. The low-mixed diet (76.5% prevalence) had daily consumption of green vegetables, including leafy vegetables, with less frequent consumption of other foods. The high-mixed diet (23.5% prevalence) had more frequent consumption of chicken, meat, egg, and milk/curd apart from green vegetables. Adolescent boys had 3.6 times higher odds of consuming a low-mixed diet compared to girls. Similarly, adolescents with lower education grades and from marginalized social classes had two times higher odds of taking a low-mixed diet than their respective counterparts.Conclusions: The high consumption of a low-mixed diet and relatively less milk consumption limit the comprehensive growth of adolescents. Improvement in dietary intake of adolescents from marginalized sections of society can prove to be an important deterrent in mitigating India's nutritional challenges.

scholarly journals Assessment of socio-demographic and clinical factors associated with preeclampsia and eclampsia among primigravida attending tertiary care center in South India

2020 ◽  
Vol 9 (11) ◽  
pp. 4486
Author(s):  
Rency M. Jaboi ◽  
Vahitha S. ◽  
Nivedita .
Keyword(s):  
Risk Factors ◽  
Care Center ◽  
Tertiary Care ◽  
Leafy Vegetables ◽  
Thyroid Disorder ◽  
Tertiary Care Center ◽  
Clinical Factors ◽  
Factors Associated ◽  
Green Leafy Vegetables ◽  
History Of

Background: The objective of the study was to identify the socio demographic and clinical factors associated with preeclampsia and eclampsia among primigravida attending a tertiary care center in South India.Methods: A quantitative research approach with case control design was used. Non-probability convenience sampling was used to select two groups of primigravida mothers i.e. one group with 108 mothers having preeclampsia or eclampsia and one group with 108 mothers not having preeclampsia or eclampsia. A structured questionnaire was employed to collect the data.Results: The study found that preeclampsia and eclampsia was significantly associated with maternal age (p=0.026), hemoglobin level (p=0.003), body mass index (p=0.001), weeks of gestation (p=0.016), age at menarche (p=0.003), age at first pregnancy (p=0.007), nutritional education (p=0.001), history of thyroid disorder (p=0.025), family history of hypertension (p=0.016), salt consumption (p=0.001), consumption of fried fatty food (p=0.008) and processed sugar (p=0.045), and intake of green leafy vegetables (p=0.001), pulses and beans(p=0.031) and activity (p=0.015). In the multiple regression analysis, body mass index (Adjusted Odds Ratio [OR] 2.28 [1.40-3.71] p=0.001), thyroid disorder (adjusted OR 2.756 [1.135-6.645] p=0.025) and intake of green leafy vegetables (adjusted OR 1.69 [1.223-2.360] p=0.002) were found to be independent risk factors associated with preeclampsia and eclampsia.Conclusion: The study concluded that the risk factors should be identified and evaluated during the antenatal visits for early detection so as to reduce maternal and neonatal mortality. 

scholarly journals Soluble CD163-Associated Dietary Patterns and the Risk of Metabolic Syndrome

Nutrients ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 940 ◽  
Author(s):  
Tzu-Yu Hu ◽  
Shin-Yng Lee ◽  
Chun-Kuang Shih ◽  
Meng-Jung Chou ◽  
Meng-Chieh Wu ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Dietary Patterns ◽  
Dietary Pattern ◽  
Linear Regression Analysis ◽  
Cell Aggregation ◽  
Leafy Vegetables ◽  
Metabolic Dysfunction ◽  
Alcoholic Fatty Liver ◽  
Green Leafy Vegetables ◽  
Dark Green

Elevated soluble cluster of differentiation 163 (sCD163) concentrations, a marker of macrophage activation, are associated with obesity. Weight reduction decreases circulating CD163 levels, and changes in sCD163 levels are associated with improved metabolic dysfunction. Currently, the relationship between sCD163 and diet remains unclear. This study investigated dietary patterns associated with sCD163 concentrations and its predictive effect on metabolic syndrome (MetS). Data on anthropometrics, blood biochemistry, and a food frequency questionnaire were collected from 166 Taiwanese adults. sCD163 levels independently predicted MetS (odds ratio (OR): 5.35; 95% confidence interval (CI): 2.13~13.44, p < 0.001), non-alcoholic fatty liver disease (OR: 2.19; 95% CI: 1.03~4.64, p < 0.001), and central obesity (OR: 3.90; 95% CI: 1.78~8.55, p < 0.001), after adjusting for age and sex. An adjusted linear regression analysis revealed strong correlations between levels of sCD163 and aspartate transaminase (AST) (β = 0.250 (0.023~0.477), p < 0.05) and red blood cell aggregation (β = 0.332 (0.035~0.628), p < 0.05). sCD163-associated dietary pattern scores (high frequencies of consuming noodles and desserts, and eating at home, and a low intake frequency of steamed/boiled/raw food, white/light-green-colored vegetables, orange/red/purple-colored vegetables, dairy products, seafood, dark-green leafy vegetables, and soy products) were positively correlated with MetS, liver injury biomarkers, and sCD163 levels (all p for trend < 0.05). Individuals with the highest dietary pattern scores (tertile 3) had a 2.37-fold [OR: 2.37; 95% CI: 1.04~5.37, p < 0.05] higher risk of MetS compared to those with the lowest scores (tertile 1). Overall, the study findings suggest the importance of a healthy dietary pattern in preventing elevated sCD163 levels and diet-related chronic disease such as MetS.

scholarly journals Dietary patterns in urban Ghana and risk of type 2 diabetes

2014 ◽  
Vol 112 (1) ◽  
pp. 89-98 ◽  
Author(s):  
Laura K. Frank ◽  
Janine Kröger ◽  
Matthias B. Schulze ◽  
George Bedu-Addo ◽  
Frank P. Mockenhaupt ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Dietary Patterns ◽  
Dietary Pattern ◽  
Fruits And Vegetables ◽  
Economic Status ◽  
Leafy Vegetables ◽  
Sub Saharan Africa ◽  
Green Leafy Vegetables ◽  
Sub Saharan

There is epidemiological evidence for associations between dietary patterns and type 2 diabetes. However, for sub-Saharan Africa, information on dietary patterns and their contribution to diabetes is lacking. The aim of the present study was to identify dietary patterns and their associations with type 2 diabetes in an urban Ghanaian population. In a hospital-based case–control study on risk factors for type 2 diabetes in Kumasi, a FFQ was administered to 675 controls and 542 cases. Dietary patterns were identified by using factor analysis including thirty-three food items. Logistic regression was used to evaluate the associations of dietary patterns with type 2 diabetes. Overall, two dietary patterns were identified: (1) a ‘purchase’ dietary pattern which positively correlated with the consumption of sweets, rice, meat, fruits and vegetables and (2) a ‘traditional’ dietary pattern that correlated with the intake of fruits, plantain, green leafy vegetables, fish, fermented maize products and palm oil. In the highest quintile of the ‘purchase’ dietary pattern, participants were younger, leaner and of higher socio-economic status than those in the lower quintiles. In contrast, participants in the highest quintile of the ‘traditional’ dietary pattern were older, heavier and more deprived compared with those in the lower quintiles. In the multivariate model, the ‘purchase’ dietary pattern was inversely associated with type 2 diabetes (OR per 1 sd 0·41, 95 % CI 0·33, 0·50); the ‘traditional’ dietary pattern increased the odds of diabetes per 1 sd by 54 % (95 % CI 1·35, 1·81). In conclusion, two diverse dietary patterns were identified and associated with type 2 diabetes in urban Ghana. The determinants of pattern adherence require further investigation.

scholarly journals Assessment of Dietary Intake and Nutrient Gaps, and Development of Food-Based Recommendations, among Pregnant and Lactating Women in Zinder, Niger: An Optifood Linear Programming Analysis

Nutrients ◽  
2019 ◽  
Vol 11 (1) ◽  
pp. 72 ◽  
Author(s):  
K. Ryan Wessells ◽  
Rebecca R. Young ◽  
Elaine L. Ferguson ◽  
Césaire T. Ouédraogo ◽  
M. Thierno Faye ◽  
...  
Keyword(s):  
At Risk ◽  
Linear Programming ◽  
Vitamin A ◽  
Fermented Milk ◽  
Leafy Vegetables ◽  
Dietary Intakes ◽  
Daily Consumption ◽  
Lactating Women ◽  
Green Leafy Vegetables ◽  
Dark Green

Pregnant and lactating women in rural Niger are at high risk for inadequate intakes of multiple micronutrients. Thus, 24 h dietary recalls were conducted and analyzed for dietary intakes in this population (n = 202). Using linear programming analyses, micronutrient gaps in women’s diets were identified, food-based recommendations (FBR) to improve dietary micronutrient adequacy were developed, and various supplementation strategies were modelled. Energy intakes were below estimated requirements, and, for most micronutrients, >50% of women were at risk of inadequate intakes. Linear programming analyses indicated it would be difficult to select a diet that achieved recommended dietary allowances for all but three (vitamin B6, iron and zinc) of 11 modeled micronutrients. Consumption of one additional meal per day, and adherence to the selected FBR (daily consumption of dark green leafy vegetables, fermented milk, millet, pulses, and vitamin A fortified oil), would result in a low percentage of women at risk of inadequate intakes for eight modeled micronutrients (vitamin A, riboflavin, thiamin, B6, folate, iron, zinc, and calcium). Because the promotion of realistic FBRs likely will not ensure that a low percentage of women are at risk of inadequate intakes for all modeled micronutrients, multiple micronutrient supplementation or provision of nutrient-dense foods should be prioritized.

Immunity boosting diet during Covid 19

2020 ◽  
Vol 11 (SPL1) ◽  
pp. 832-838
Author(s):  
Roshna Sukheoji Bhutada ◽  
Renu Rathi ◽  
Devyani Dasar
Keyword(s):  
Immune System ◽  
Food Studies ◽  
Egg Yolk ◽  
The Body ◽  
Leafy Vegetables ◽  
Green Leafy Vegetables ◽  
Custard Apple ◽  
The Right ◽  
Daily Physical Activities ◽  
Physiological Reactions

WHO declared Covid 19 /SARS -COV-2 as a global pandemic.Till date, there is no medicine for COVID-19. If the Infection arises in the body then the defence mechanism activated against infection. A recent study suggests that temporarily augmenting the body's immune system in the early stages of COVID-19 can help patient to avoid severe symptoms as it is rightly said prevention is better than cure. Ayurveda approaches to develop physiological reactions to facilitate immunity. Planning of diet is most important to boost immunity.As per many researches to provide supplementary food which contains Zinc, Vitamin C,Vitamin D and immunity boosting foodsuch as citrus natural products, custard apple, apple, papaya is among the Fruits. Vegetables include broccoli, onion, garlic and green leafy vegetables. Nuts, ginger, turmeric, pepper, egg yolk, shellfish, mushroom. The need of the hour is a quick boost to immune system to keep it fit, fighting. One should get the right amount of nutrients from the diet, supplementation regimen to boost immune system.In this review, there are few common supplements and super food studies have been included. It might be a torch bearer as sample menu and their alternatives are given for a normal adult. Needy may change contemplated according to age, sex, body mass index and daily physical activities.

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