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Alcoholic Beverages

Alcoholic Beverages: A broad category encompassing a variety of fermented or distilled liquids containing ethanol, commonly consumed for their intoxicating effects.
This includes wine, beer, spirits, and other alcoholic drinks.
Reseach on alcoholic beverages can provide valuable insights into product development, consumer preferences, and the impact of alcohol consumption on health.
Experinece the power of PubCompare.ai to optimize your alcoholic beverage research with AI-driven comparisons of protocols from literature, pre-prints, and patents.
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Most cited protocols related to «Alcoholic Beverages»

Development and Validation of Short-Form FFQ

The long-FFQ consisted of 172 food and beverage items and nine frequency categories, ranging from almost never to seven or more times per day (or to 10 or more glasses per day, for beverages). It asked about the usual consumption of listed foods during the previous year. The food list was initially developed according to percentage contributions based on absolute values of energy and intake of 14 target nutrients from weighed food records in 1989–1991^{8 (link)} and used for the Japan Public Health Center-based prospective Study,^{8 (link)}^–^{12 (link)} for which it was modified for middle-aged and elderly residents in a wide variety of areas of Japan. With regard to this modification, the following criteria were considered: calculation for an additional 17 nutrient items, such as fiber and folate, change of foods contributing to the absolute nutrient intake according to the updated Standard Tables of Food Composition in Japan,¹³^,¹⁴ and dietary regionality and change in generation for the present cohort (data not shown). As a result, 33 foods were added, and 5 foods and beverages were excluded.^{15 (link)} Moreover, six foods were also added to account for potential inter-individual variation in specific nutrients, such as isothiocyanate and isoflavone. With regard to alcoholic beverages, choices of intake amount were changed from the initial JPHC-FFQ.
To develop the food list for the short-FFQ, we selected and combined items and supporting questions from the original long-FFQ. We selected the three major foods and beverages that contributed to inter-individual variation for each of 40 nutrients according to a cumulative R² for the 40 nutrients,¹⁶ based on the multiple regression coefficient with total intake of a specific nutrient as the dependent variable and its intake from each food as the explanatory variable. Inter-individual variation was calculated by gender among 45 869 men and 52 989 women who responded to the JPHC Study 10-year follow-up survey. Consequently, cumulative R² for the nutrients ranged from 0.4 to 1.0. For potential inter-individual variation in intake of specific food groups, some foods, such as coffee, were added. Ultimately, 66 food and beverage items were selected for the short-FFQ. In this validation study, information on alcoholic beverages was substituted with those from the long-FFQ (united with overall information of lifestyle), because these questions were not included in the short-FFQ. This was because information on alcoholic beverage intake was structured in pages for lifestyle other than diet, such as smoking status and physical activity, and the reproducibility of alcoholic beverage intake was relatively high even if questionnaires were administered at a 1-year interval.^{17 (link)}^,^{18 (link)}Intakes of energy, 53 nutrients, and 29 food groups were calculated using the Standard Tables of Food Composition in Japan 2010,¹⁹ Standard Tables of Food Composition in Japan Fifth Revised and Enlarged Edition 2005 For Fatty Acids,²⁰ and a specifically developed food composition table for isoflavones in Japanese foods.^{21 (link)}

Validity of Short and Long Self-Administered Food Frequency Questionnaires in Ranking Dietary Intake in Middle-Aged and Elderly Japanese in the Japan Public Health Center-Based Prospective Study for the Next Generation (JPHC-NEXT) Protocol Area. (2016). Journal of Epidemiology, 26(8), 420-432.

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Publication 2016

Aged Alcoholic Beverages Beverages Coffee Diet Eating Eyeglasses Fatty Acids Fibrosis Folate Food Isoflavones isothiocyanate Japanese Nutrient Intake Nutrients Woman

Dietary Indices for Plant-Based Diets

We created an overall plant-based diet index (PDI), a healthful plant-based diet index (hPDI), and an unhealthful plant-based diet index (uPDI). The procedure we used to create these indices is similar to the one used by Martínez-González et al. [13 (link)]; their “provegetarian food pattern” is similar in composition to our PDI. Frequencies of consumption of each food were converted into servings consumed per day. Then the number of servings of foods that belonged to each of 18 food groups were added up. The 18 food groups were created on the basis of nutrient and culinary similarities, within larger categories of animal foods and healthy and less healthy plant foods. We distinguished between healthy and less healthy plant foods using existing knowledge of associations of the foods with T2D, other outcomes (CVD, certain cancers), and intermediate conditions (obesity, hypertension, lipids, inflammation). Plant foods not clearly associated in one direction with several health outcomes, specifically alcoholic beverages, were not included in the indices. We also excluded margarine from the indices, as its fatty acid composition has changed over time from high trans fat to high unsaturated fat. We controlled for alcoholic beverages and margarine consumption in the analysis.
Healthy plant food groups included whole grains, fruits, vegetables, nuts, legumes, vegetable oils, and tea/coffee, whereas less healthy plant food groups included fruit juices, sugar-sweetened beverages, refined grains, potatoes, and sweets/desserts. Animal food groups included animal fats, dairy, eggs, fish/seafood, meat (poultry and red meat), and miscellaneous animal-based foods.
S1 Table details examples of foods constituting the food groups. The 18 food groups were divided into quintiles of consumption, and each quintile was assigned a score between 1 and 5. For PDI, participants received a score of 5 for each plant food group for which they were above the highest quintile of consumption, a score of 4 for each plant food group for which they were above the second highest quintile but below the highest quintile, and so on, with a score of 1 for consumption below the lowest quintile (positive scores). On the other hand, participants received a score of 1 for each animal food group for which they were above the highest quintile of consumption, a score of 2 for each animal food group for which they were between the highest and second highest quintiles, and so on, with a score of 5 for consumption below the lowest quintile (reverse scores). For hPDI, positive scores were given to healthy plant food groups, and reverse scores to less healthy plant food groups and animal food groups. Finally, for uPDI, positive scores were given to less healthy plant food groups, and reverse scores to healthy plant food groups and animal food groups. The 18 food group scores for an individual were summed to obtain the indices, with a theoretical range of 18 (lowest possible score) to 90 (highest possible score). The observed ranges at baseline were 24–85 (PDI), 28–86 (hPDI), and 27–90 (uPDI) across the cohorts. The indices were analyzed as deciles, with energy intake adjusted at the analysis stage.

Satija A., Bhupathiraju S.N., Rimm E.B., Spiegelman D., Chiuve S.E., Borgi L., Willett W.C., Manson J.E., Sun Q, & Hu F.B. (2016). Plant-Based Dietary Patterns and Incidence of Type 2 Diabetes in US Men and Women: Results from Three Prospective Cohort Studies. PLoS Medicine, 13(6), e1002039.

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Publication 2016

Alcoholic Beverages Animals Cereals Coffee Diet Eggs Fabaceae Fats Fats, Unsaturated Fatty Acids Feeds, Animal Fishes Food Fowls, Domestic Fruit Fruit Juices High Blood Pressures Inflammation Lipids Malignant Neoplasms Margarine Meat Nutrients Nuts Obesity Plants Plants, Edible Red Meat Seafood Solanum tuberosum Sugar-Sweetened Beverages Vegetable Oils Vegetables Whole Grains

Dietary Plant-Based Index Development

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Publication 2017

A-130A Alcoholic Beverages Diet Fatty Acids Feeds, Animal Food Margarine Nutrients Plants Plants, Edible Trans Fatty Acids

Beverage Intake Questionnaire (BEVQ-19)

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Publication 2012

Alcoholic Beverages Amniotic Fluid Beer Beverages Black Tea Carbohydrates Coffee Diet Drinks Eating Energy Drinks Fat-Restricted Diet Food Light Macronutrient Milk Soft Drinks Vegetable Juices Water Consumption Wine

Neurocognitive Assessment in Stable HIV+

Of 296 volunteers at the San Diego HIV Neurobehavioral Research Center (HNRC) who completed the same test battery over two to six visits, 172 were HIV− controls recruited between 1999 and 2006 and 124 were clinically stable HIV+ individuals recruited through the multi-site CNS HIV Antiretroviral Therapy Effects Research (CHARTER) study between 2001 and 2007. An additional, “validation group” was 111 HIV− volunteers who completed a subset of the same test battery at two time points and 67 who completed the abbreviated battery at three time points at the HNRC between 1987 and 1999. Table 1 compares the demographic characteristics and provide summary results on the NP test battery for the normative HIV− and HIV+ groups and the validation sample.
Neuromedical stability was defined for the HIV+ group as having: ( a) stable HIV disease indicators between visits (i.e., CD4 counts not changing among following categories >500, 500–200, <200; < 1 log₁₀ change in their plasma HIV RNA levels (viral load); and no new AIDS defining illnesses), (b) no change in their antiretroviral regimen, and (c) no incident psychiatric illness (i.e., major depressive episode or substance use disorder) or neurological events (i.e., head injury or meningitis) between visits.
Participants with a history of non-HIV related neuromedical factors that might potentially cause neurocognitive impairment were excluded. These exclusion criteria were (a) head injury with unconsciousness greater than 30 minutes, (b) any known, non HIV related neurological disorders (e.g., epilepsy, stroke), psychotic disorders (schizophrenia) and (c) significant levels of current self-reported substance use, defined as more than three alcoholic drinks per day over the past 30 days, or use of any illegal drugs in the past 30 days. Diagnosis of bipolar disorder was not disqualifying so long as patients were stable on their medications.

Cysique L.A., Franklin D J.r., Abramson I., Ellis R.J., Letendre S., Collier A., Marra C., Clifford D., Gelman B., McArthur J., Morgello S., Simpson D., McCutchan J.A., Grant I, & Heaton R.K. (2011). Normative data and validation of a regression based summary score for assessing meaningful neuropsychological change. Journal of clinical and experimental neuropsychology, 33(5), 505-522.

Publication 2011

Acquired Immunodeficiency Syndrome Alcoholic Beverages Bipolar Disorder Cerebrovascular Accident Craniocerebral Trauma Diagnosis Epilepsy factor A HIV-1 HIV Infections Illicit Drugs Meningitis Mental Disorders Nervous System Disorder Patients Pharmaceutical Preparations Plasma Psychotherapy, Multiple Psychotic Disorders Schizophrenia Substance Use Substance Use Disorders Treatment Protocols Voluntary Workers

Most recents protocols related to «Alcoholic Beverages»

Anthropometric Measurements and Biochemical Profiles

The measurements of anthropometric attributes and biochemical profiles have been described previously [23 (link)]. In brief, we used a digital system (BW-2200; NAGATA Scale Co. Ltd., Tainan, Taiwan) to measure the subject’s body weight and height. Waist circumference (WC) was measured at the level of mid-distance between the bottom of the rib cage and the top of the iliac crest. Hip circumference was the distance around the largest part of the subject’s hips. Blood pressure was measured three times, with an interval of 3 min, after 10 min of rest. The averages of repeated measurements of systolic blood pressure (SBP) and diastolic blood pressure (DBP) were used for analyses. The fasting blood levels of total cholesterol, high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), triglycerides (FTG), and glucose (FPG) were determined by an autoanalyzer (Toshiba TBA c16000; Toshiba Medical System, Holliston, MA, USA) with commercial kits (Denka Seiken, Tokyo, Japan).
We also used a structured questionnaire to collect personal histories of common diseases in adults and health behaviors. In the study, hypertension was defined as subjects who had physician-diagnosed hypertension or a history of taking antihypertensive medications. Hyperlipidemia was defined as subjects having been diagnosed with high blood lipids by a physician or having a history of taking lipid-lowering medications. DM was defined as FPG ≥ 126 mg/dL or the use of insulin or other hypoglycemic agents. Cigarette smoking and alcohol drinking were defined as having smoked cigarettes or drank alcohol-containing beverages at least 4 days per week during the past month before enrollment.

Wu T.W., Chou C.L., Cheng C.F., Lu S.X., Wu Y.J, & Wang L.Y. (2023). Associations of genetic markers of diabetes mellitus with carotid atherosclerosis: a community-based case–control study. Cardiovascular Diabetology, 22, 51.

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Publication 2023

Adult Alcoholic Beverages Antihypertensive Agents BLOOD Blood Pressure Body Weight Cholesterol Cholesterol, beta-Lipoprotein Coxa Fingers Glucose High Blood Pressures High Density Lipoprotein Cholesterol Hyperlipidemia Hypoglycemic Agents Iliac Crest Insulin Lipid A Lipids Pharmaceutical Preparations Physicians Pressure, Diastolic Rib Cage Systolic Pressure Triglycerides Waist Circumference

Visual Processing of Alcoholic and Non-Alcoholic Beverages

The images used to measure AB were those of commercially sold alcoholic and nonalcoholic beverages. For alcoholic beverages, we used images of beer poured into a glass or canned Japanese sake packages, whereas for nonalcoholic beverages, we used images of tea in a plastic bottle or coffee in a cup. Eight combinations of alcoholic and nonalcoholic images were prepared. Two images were presented simultaneously, 1 at the top of the screen and the other at the bottom; each image had a height and width of 256 pixels/inch (Fig. 1). The 8 image stimulus pairs were randomly presented for a total of 128 trials, from which the RT was calculated. Participants were presented with a gaze point placed at the center of the LCD monitor for 500ms and then the 2 target images were presented, with 500ms allowed for image selection (Fig. 2). After the images were displayed, the nonalcoholic image was followed by the probe stimulus “E,” which stands for “Enter.”^{[16 ]} Participants were asked to select the nonalcoholic image and to press the corresponding button.

Amano Y., Koizumi K., Takizawa H, & Hamaguchi T. (2023). Cravings for alcohol in alcohol use disorders are associated with attention deviation to alcohol: An observational study of Japanese in-patients. Medicine, 102(10), e33222.

Publication 2023

Alcoholic Beverages Alcoholics Beer Beverages Coffee Japanese SELL protein, human

Assessing Alcohol Consumption in Epidemiological Studies

Alcoholic beverage consumption was assessed at each exam using the CARDIA Alcohol Use Questionnaire (AUQ) that queried participants on annual, monthly, weekly and daily alcoholic beverage intake. Alcoholic beverage consumption was defined based on the following questions: “Did you drink any alcoholic beverages in the past year?”; “How many drinks of wine (5 oz glass) do you usually have per week?”; “How many drinks of beer (12 oz glass) do you usually have per week?”; “How many drinks per week do you usually have of hard liquor (1 1/2 oz)?” To our knowledge there is no validated questionnaire available to measure usual alcoholic beverage intake in epidemiologic studies. However, in exploratory analyses, we found that alcoholic beverage intake (milliliters of alcohol per day) estimated from the AUQ was strongly correlated with mean alcohol intake (grams per day) estimated from the validated CARDIA diet history at exam years 0 (r = 0.77; p < .001); year 7 (r = 0.71; p < .001); and year 20 (r = 0.79; p < .001).
To describe the distribution of socio-demographic and lifestyle characteristics of people who drank compared to those who didn’t drink at baseline, participants were categorized into sex-specific drinking categories using alcoholic beverage intake at exam year 0. Category definitions were based on the National Institute on Alcohol Abuse and Alcoholism (NIAAA) guidance on drinking levels [34 (link),53 (link)–56 (link)]. Based on the sum of the usual intake of beer, wine, and liquor/mixed drinks per week (drinks/wk) as reported on the AUQ at exam year 0, men were classified as “non-drinker”, “light drinker” (<7 drinks/wk), “moderate drinker” (7 to 14 drinks/wk), or “excessive drinker” (>14 drinks/wk), and women were classified as “non-drinker”, “light drinker” (<4 drinks/wk), “moderate drinker” (4 to 7 drinks/wk), or “excessive drinker (> 7 drinks/wk) [8 ,53 (link)].

Butler J.L., Gordon-Larsen P., Steffen L.M., Shikany J.M., Jacobs DR J.r., Popkin B.M, & Poti J.M. (2023). Associations of 5-year changes in alcoholic beverage intake with 5-year changes in waist circumference and BMI in the Coronary Artery Risk Development in Young Adults (CARDIA) study. PLOS ONE, 18(3), e0281722.

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Publication 2023

Alcoholic Beverages Alcohols Amniotic Fluid Beer Cardia Diet Light Wine Woman

Comprehensive Assessment of Fluid and Dietary Intake

A validated, semi-quantitative 32-item Beverage Intake Assessment Questionnaire (BIAQ) [10 (link)] and a 143-item validated semi-quantitative FFQ (38) specifying usual portion sizes, were administered by trained dietitians to assess habitual fluid and dietary intakes, respectively. These two questionnaires have been validated within populations of older, Spanish individuals, which are analogous to the current study population, and both have been found to be reproducible with relative validity [10 (link), 38 (link)]. The BIAQ recorded the frequency of consumption of various beverage types during the month prior to the visit date. The average daily fluid intake from beverages was estimated from the servings of each type of beverage. The questionnaire items on beverages included: tap water, bottled water, natural fruit juices, bottled fruit juices, natural vegetable juices, bottled vegetable juices, whole milk, semi-skimmed milk, skimmed milk, drinking yogurt, milkshakes, vegetable drinks, soups, jellies and sorbets, soda, light/zero soda, espresso, coffee, tea, beer, non-alcoholic beer, wine, spirits, mixed alcoholic drinks, energy drinks, sports drinks, meal replacement shakes, and other beverages. The water and nutrient contents of the beverages were estimated mainly using the CESNID Food Composition Tables [39 ], complemented with data from the BEDCA Spanish Database of Food Composition [40 ].
The FFQ collected data on food intake based on the year prior to the visit according to nine possible frequency categories, which ranged from “never or almost never” to “> 6 portions/day” and based on the dietary guidelines for the Spanish population [41 ]. The information collected was converted into grams per day, multiplying portion sizes by consumption frequency and dividing the result by the period assessed. Ten food groups composed of vegetables, fruits, legumes, cereals, dairy beverages, meat and poultry, fats, nuts, fish/seafood, and other foods were determined to assess the contribution of foods to total water intake. Food groups and energy intake were estimated using Spanish food composition tables [42 , 43 ]. Drinking water intake, water intake from all fluids, total water intake, EFSA total fluid water intake (TFWI), and EFSA total water intake (TWI) were computed (descriptions summarized in Additional file 1: Table S1). Drinking water intake was estimated based on tap and bottled water intakes based on BIAQ responses. Water intake from all fluids was computed from tap and bottled water, plus water from other beverages based on responses to the BIAQ. Total water intake encompassed water intake from all fluids in addition to water present in food sources based on responses to the FFQ. Water intake was further categorized based on established reference values. The EFSA recommendations for total water intake (EFSA TWI) for older adults (2.5 L/day and 2.0 L/day for men and women, respectively) in conditions of moderate environmental temperature and moderate physical activity [20 ] were used as reference values. Further categorizations were determined based on total water intake from fluids alone, based on EFSA recommendations (EFSA TFWI), where recommended levels for older adults are set to at least 2.0 L/day and 1.6 L/day for men and women, respectively [20 ].

Nishi S.K., Babio N., Paz-Graniel I., Serra-Majem L., Vioque J., Fitó M., Corella D., Pintó X., Bueno-Cavanillas A., Tur J.A., Diez-Ricote L., Martinez J.A., Gómez-Martínez C., González-Botella A., Castañer O., Alvarez-Sala A., Montesdeoca-Mendoza C., Fanlo-Maresma M., Cano-Ibáñez N., Bouzas C., Daimiel L., Zulet M.Á., Sievenpiper J.L., Rodriguez K.L., Vázquez-Ruiz Z, & Salas-Salvadó J. (2023). Water intake, hydration status and 2-year changes in cognitive performance: a prospective cohort study. BMC Medicine, 21, 82.

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Publication 2023

Aged Alcoholic Beverages Alcoholics Beer Beverages Cereals Coffee Dietitian Eating Energy Drinks Fabaceae Fats Fishes Food Food Additives Fowls, Domestic Fruit Fruit Juices Gels Hispanic or Latino Light Meat Milk Multiple Endocrine Neoplasia Type 2a Nutrients Nuts Seafood Tremor Vegetable Juices Vegetables Water Consumption Wine Woman Yogurt

Exploring the Interplay of Socioeconomic Factors and Lifestyle Behaviors

EL was classified into three categories, namely, low EL (illiteracy and primary), medium EL (middle school) and high EL (college and above). Smoking was defined as smoking one or more cigarettes per week in a recent year, and participants were classified into never smokers, former smokers and current smokers. Alcohol drinking was defined as drinking one or more alcoholic drinks per month for no less than six consecutive months, and participants were classified into never drinkers, former drinkers and current drinkers. Physical activity was classified according to the frequency of physical activity (20 min = 1 instance of activity) performed during leisure time. The categories of physical activity include exercise occasionally (< four instances of activity per week) and frequent exercise (≥ four instances of activity per week).

Jiang R., Wang X., Sun Z., Wu S., Chen S, & Cai H. (2023). Association of education level with the risk of female breast cancer: a prospective cohort study. BMC Women's Health, 23, 91.

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Publication 2023

Alcoholic Beverages

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More about "Alcoholic Beverages"

Alcoholic beverages are a diverse category of fermented or distilled liquids containing ethanol, commonly consumed for their intoxicating effects.
This includes wine, beer, spirits, and other alcoholic drinks.
Research on alcoholic beverages can provide valuable insights into product development, consumer preferences, and the impact of alcohol consumption on health.
Synonyms and related terms for alcoholic beverages include adult beverages, booze, hooch, liquor, and intoxicating drinks.
Abbreviations like ABV (alcohol by volume) and BAC (blood alcohol content) are also commonly used.
Key subtopics in this domain include brewing, distillation, fermentation, flavor profiles, alcohol content, consumption patterns, health effects, and regulations.
Leveraging tools like SAS 9.4, Model HEM-907XL, SPSS version 22.0, BC-601, Milli-Q system, SPSS version 20, Stadiometer, Seca medical Body Composition Analyser, and BC-418 can provide valuable data and insights to support alcoholic beverage research, product development, and market analysis.
Experinece the power of PubCompare.ai to optimize your research by comparing protocols from literature, pre-prints, and patents, and locate the best reproducible and accurate methods to drive your product development forward.