10 datasets found
  1. w

    Dataset of books called Intelligent medicine : a guide to optimizing health...

    • workwithdata.com
    Updated Apr 17, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Work With Data (2025). Dataset of books called Intelligent medicine : a guide to optimizing health and preventing illness for the baby-boom generation [Dataset]. https://www.workwithdata.com/datasets/books?f=1&fcol0=book&fop0=%3D&fval0=Intelligent+medicine+%3A+a+guide+to+optimizing+health+and+preventing+illness+for+the+baby-boom+generation
    Explore at:
    Dataset updated
    Apr 17, 2025
    Dataset authored and provided by
    Work With Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset is about books. It has 1 row and is filtered where the book is Intelligent medicine : a guide to optimizing health and preventing illness for the baby-boom generation. It features 7 columns including author, publication date, language, and book publisher.

  2. a

    Predominant Generations in the United States

    • africageoportal.com
    Updated Jan 29, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Africa GeoPortal (2021). Predominant Generations in the United States [Dataset]. https://www.africageoportal.com/datasets/africageoportal::predominant-generations-in-the-united-states-3
    Explore at:
    Dataset updated
    Jan 29, 2021
    Dataset authored and provided by
    Africa GeoPortal
    Description

    This app highlights the predominant generations that make up the population of the United States, using country to block group geographies that vary according to zoom level. The map, which was featured in Esri's Living Atlas gallery, forms the basis of an analysis of travel agency locations to determine the best one for launching luxury travel services to baby boomers. Use the Bookmarks tool to see the predominant generations in the census tract areas in and around Los Angeles, Chicago, and Washington, D.C. Click individual census tracts on the map to see pop-up information, including the population of each generation in a given census tract.This app was created for instructional purposes only and should not be used as an authoritative resource.

  3. f

    Data from: Building professional identity: a study with female managers who...

    • scielo.figshare.com
    xls
    Updated Jun 1, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    MARLENE CATARINA DE OLIVEIRA LOPES MELO; VILMA SANTOS PEREIRA DE FARIA; ANA LÚCIA MAGRI LOPES (2023). Building professional identity: a study with female managers who are baby boomers, generation Xers, and millennials [Dataset]. http://doi.org/10.6084/m9.figshare.11351189.v1
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    SciELO journals
    Authors
    MARLENE CATARINA DE OLIVEIRA LOPES MELO; VILMA SANTOS PEREIRA DE FARIA; ANA LÚCIA MAGRI LOPES
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Abstract This article analyzes the construction of the professional identity of female managers who are baby boomers, generation Xers and millennials. The research adopted a qualitative and analytical descriptive approach, interviewing 32 women working in different sectors of the economy in the city of Belo Horizonte, Brazil. The group interviewed was chosen and divided by generations counting on 06 baby boomers, 11 generation Xers, and 15 Millennials. The data were analyzed considering the dimensions proposed by Hill (1993) when discussing the process of becoming a manager: learning what it means to be a manager; developing interpersonal judgements; gaining self-knowledge; coping with stress and emotions; and managing transformations. The study identified that although the generations have different characteristics (such as way of thinking, acting, and seeing the world), they have little influence in the process of building professional identity of the female managers.

  4. C

    State of Aging in Allegheny County Survey

    • data.wprdc.org
    • catalog.data.gov
    • +1more
    csv, html, pdf, xlsx +1
    Updated Jun 10, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    University of Pittsburgh (2024). State of Aging in Allegheny County Survey [Dataset]. https://data.wprdc.org/dataset/state-of-aging-in-allegheny-county-survey
    Explore at:
    csv, xlsx, html, pdf, zipAvailable download formats
    Dataset updated
    Jun 10, 2024
    Dataset provided by
    University of Pittsburgh
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Allegheny County
    Description

    For more than three decades UCSUR has documented the status of older adults in the County along multiple life domains. Every decade we issue a comprehensive report on aging in Allegheny County and this report represents our most recent effort. It documents important shifts in the demographic profile of the population in the last three decades, characterizes the current status of the elderly in multiple life domains, and looks ahead to the future of aging in the County. This report is unique in that we examine not only those aged 65 and older, but also the next generation old persons, the Baby Boomers. Collaborators on this project include the Allegheny County Area Agency on Aging, the United Way of Allegheny County, and the Aging Institute of UPMC Senior Services and the University of Pittsburgh.

    The purpose of this report is to provide a comprehensive analysis of aging in Allegheny County. To this end, we integrate survey data collected from a representative sample of older county residents with secondary data available from Federal, State, and County agencies to characterize older individuals on multiple dimensions, including demographic change and population projections, income, work and retirement, neighborhoods and housing, health, senior service use, transportation, volunteering, happiness and life satisfaction, among others. Since baby boomers represent the future of aging in the County we include data for those aged 55-64 as well as those aged 65 and older.

    Support for Health Equity datasets and tools provided by Amazon Web Services (AWS) through their Health Equity Initiative.

  5. Top 5 Songs from Each Generation (Baby Boomers to Generation Alpha) with...

    • zenodo.org
    csv
    Updated May 8, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Nour Khalid Tanbal; Nour Khalid Tanbal (2024). Top 5 Songs from Each Generation (Baby Boomers to Generation Alpha) with Song Information [Dataset]. http://doi.org/10.5281/zenodo.11152982
    Explore at:
    csvAvailable download formats
    Dataset updated
    May 8, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Nour Khalid Tanbal; Nour Khalid Tanbal
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Year: The year the song was released.

    Artist: The artist or group who performed the song.

    Song: The title of the song.

    Genre: The genre of the song.

    Lyrics: Excerpts from the lyrics of the song.

    Danceability: A measure of how suitable a track is for dancing, based on a combination of musical elements including tempo, rhythm stability, beat strength, and overall regularity.

    Energy: A measure of intensity and activity in the song, typically including dynamic range, perceived loudness, timbre, onset rate, and general entropy.

    Liveness: A measure of the presence of an audience in the recording. Higher values represent an increased probability that the track was performed live.

    Speechiness: A measure of the presence of spoken words in the track. Values above 0.66 describe tracks that are probably entirely spoken words.

    Valence: A measure of the musical positiveness of a track, ranging from 0 to 1, with higher values indicating more positive tracks (e.g., happy, cheerful, euphoric), and lower values indicating more negative tracks (e.g., sad, depressed, angry).

    This dataset seems to capture a variety of popular songs from the mid-20th century, providing insights into their lyrical content and musical characteristics.

  6. f

    Measurement model results.

    • figshare.com
    • plos.figshare.com
    xls
    Updated Jun 13, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Wutthiya A. Srisathan; Chavis Ketkaew; Wuttiwat Jitjak; Sirinthip Ngiwphrom; Phaninee Naruetharadhol (2023). Measurement model results. [Dataset]. http://doi.org/10.1371/journal.pone.0265025.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 13, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Wutthiya A. Srisathan; Chavis Ketkaew; Wuttiwat Jitjak; Sirinthip Ngiwphrom; Phaninee Naruetharadhol
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Measurement model results.

  7. d

    Moldova - Demographic and Health Survey 2005 - Dataset - waterdata

    • waterdata3.staging.derilinx.com
    Updated Mar 16, 2020
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2020). Moldova - Demographic and Health Survey 2005 - Dataset - waterdata [Dataset]. https://waterdata3.staging.derilinx.com/dataset/moldova-demographic-and-health-survey-2005
    Explore at:
    Dataset updated
    Mar 16, 2020
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Moldova
    Description

    Moldova's first Demographic and Health Survey (2005 MDHS) is a nationally representative sample survey of 7,440 women age 15-49 and 2,508 men age 15-59 selected from 400 sample points (clusters) throughout Moldova (excluding the Transnistria region). It is designed to provide data to monitor the population and health situation in Moldova; it includes several indicators which follow up on those from the 1997 Moldova Reproductive Health Survey (1997 MRHS) and the 2000 Multiple Indicator Cluster Survey (2000 MICS). The 2005 MDHS used a two-stage sample based on the 2004 Population and Housing Census and was designed to produce separate estimates for key indicators for each of the major regions in Moldova, including the North, Center, and South regions and Chisinau Municipality. Unlike the 1997 MRHS and the 2000 MICS surveys, the 2005 MDHS did not cover the region of Transnistria. Data collection took place over a two-month period, from June 13 to August 18, 2005. The survey obtained detailed information on fertility levels, abortion levels, marriage, sexual activity, fertility preferences, awareness and use of family planning methods, breastfeeding practices, nutritional status of women and young children, childhood mortality, maternal and child health, adult health, and awareness and behavior regarding HIV infection and other sexually transmitted diseases. Hemoglobin testing was conducted on women and children to detect the presence of anemia. Additional features of the 2005 MDHS include the collection of information on international emigration, language preference for reading printed media, and domestic violence. The 2005 MDHS was carried out by the National Scientific and Applied Center for Preventive Medicine, hereafter called the National Center for Preventive Medicine (NCPM), of the Ministry of Health and Social Protection. ORC Macro provided technical assistance for the MDHS through the USAID-funded MEASURE DHS project. Local costs of the survey were also supported by USAID, with additional funds from the United Nations Children's Fund (UNICEF), the United Nations Population Fund (UNFPA), and in-kind contributions from the NCPM. MAIN RESULTS CHARACTERISTICS OF RESPONDENTS Ethnicity and Religion. Most women and men in Moldova are of Moldovan ethnicity (77 percent and 76 percent, respectively), followed by Ukrainian (8-9 percent of women and men), Russian (6 percent of women and men), and Gagauzan (4-5 percent of women and men). Romanian and Bulgarian ethnicities account for 2 to 3 percent of women and men. The overwhelming majority of Moldovans, about 95 percent, report Orthodox Christianity as their religion. Residence and Age. The majority of respondents, about 58 percent, live in rural areas. For both sexes, there are proportionally more respondents in age groups 15-19 and 45-49 (and also 45-54 for men), whereas the proportion of respondents in age groups 25-44 is relatively lower. This U-shaped age distribution reflects the aging baby boom cohort following World War II (the youngest of the baby boomers are now in their mid-40s), and their children who are now mostly in their teens and 20s. The smaller proportion of men and women in the middle age groups reflects the smaller cohorts following the baby boom generation and those preceding the generation of baby boomers' children. To some degree, it also reflects the disproportionately higher emigration of the working-age population. Education. Women and men in Moldova are universally well educated, with virtually 100 percent having at least some secondary or higher education; 79 percent of women and 83 percent of men have only a secondary or secondary special education, and the remainder pursues a higher education. More women (21 percent) than men (16 percent) pursue higher education. Language Preference. Among women, preferences for language of reading material are about equal for Moldovan (37 percent) and Russian (35 percent) languages. Among men, preference for Russian (39 percent) is higher than for Moldovan (25 percent). A substantial percentage of women and men prefer Moldovan and Russian equally (27 percent of women and 32 percent of men). Living Conditions. Access to electricity is almost universal for households in Moldova. Ninety percent of the population has access to safe drinking water, with 86 percent in rural areas and 96 percent in urban areas. Seventy-seven percent of households in Moldova have adequate means of sanitary disposal, with 91 percent of households in urban areas and only 67 percent in rural areas. Children's Living Arrangements. Compared with other countries in the region, Moldova has the highest proportion of children who do not live with their mother and/or father. Only about two-thirds (69 percent) of children under age 15 live with both parents. Fifteen percent live with just their mother although their father is alive, 5 percent live with just their father although their mother is alive, and 7 percent live with neither parent although they are both alive. Compared with living arrangements of children in 2000, the situation appears to have worsened. FERTILITY Fertility Levels and Trends. The total fertility rate (TFR) in Moldova is 1.7 births. This means that, on average, a woman in Moldova will give birth to 1.7 children by the end of her reproductive period. Overall, fertility rates have declined since independence in 1991. However, data indicate that fertility rates may have increased in recent years. For example, women of childbearing age have given birth to, on average, 1.4 children at the end of their childbearing years. This is slightly less than the total fertility rate (1.7), with the difference indicating that fertility in the past three years is slightly higher than the accumulation of births over the past 30 years. Fertility Differentials. The TFR for rural areas (1.8 births) is higher than that for urban areas (1.5 births). Results show that this urban-rural difference in childbearing rates can be attributed almost exclusively to younger age groups. CONTRACEPTION Knowledge of Contraception. Knowledge of family planning is nearly universal, with 99 percent of all women age 15-49 knowing at least one modern method of family planning. Among all women, the male condom, IUD, pills, and withdrawal are the most widely known methods of family planning, with over 80 percent of all women saying they have heard of these methods. Female sterilization is known by two-thirds of women, while periodic abstinence (rhythm method) is recognized by almost six in ten women. Just over half of women have heard of the lactational amenorrhea method (LAM), while 40-50 percent of all women have heard of injectables, male sterilization, and foam/jelly. The least widely known methods are emergency contraception, diaphragm, and implants. Use of Contraception. Sixty-eight percent of currently married women are using a family planning method to delay or stop childbearing. Most are using a modern method (44 percent of married women), while 24 percent use a traditional method of contraception. The IUD is the most widely used of the modern methods, being used by 25 percent of married women. The next most widely used method is withdrawal, used by 20 percent of married women. Male condoms are used by about 7 percent of women, especially younger women. Five percent of married women have been sterilized and 4 percent each are using the pill and periodic abstinence (rhythm method). The results show that Moldovan women are adopting family planning at lower parities (i.e., when they have fewer children) than in the past. Among younger women (age 20-24), almost half (49 percent) used contraception before having any children, compared with only 12 percent of women age 45-49. MATERNAL HEALTH Antenatal Care and Delivery Care. Among women with a birth in the five years preceding the survey, almost all reported seeing a health professional at least once for antenatal care during their last pregnancy; nine in ten reported 4 or more antenatal care visits. Seven in ten women had their first antenatal care visit in the first trimester. In addition, virtually all births were delivered by a health professional, in a health facility. Results also show that the vast majority of women have timely checkups after delivering; 89 percent of all women received a medical checkup within two days of the birth, and another 6 percent within six weeks. CHILD HEALTH Childhood Mortality. The infant mortality rate for the 5-year period preceding the survey is 13 deaths per 1,000 live births, meaning that about 1 in 76 infants dies before the first birthday. The under-five mortality rate is almost the same with 14 deaths per 1,000 births. The near parity of these rates indicates that most all early childhood deaths take place during the first year of life. Comparison with official estimates of IMRs suggests that this rate has been improving over the past decade. NUTRITION Breastfeeding Practices. Breastfeeding is nearly universal in Moldova: 97 percent of children are breastfed. However the duration of breast-feeding is not long, exclusive breastfeeding is not widely practiced, and bottle-feeding is not uncommon. In terms of the duration of breastfeeding, data show that by age 12-15 months, well over half of children (59 percent) are no longer being breastfed. By age 20-23 months, almost all children have been weaned. Exclusive breastfeeding is not widely practiced and supplementary feeding begins early: 57 percent of breastfed children less than 4 months are exclusively breastfed, and 46 percent under six months are exclusively breastfeed. The remaining breastfed children also consume plain water, water-based liquids or juice, other milk in addition to breast milk, and complimentary foods. Bottle-feeding is fairly widespread in Moldova; almost one-third (29 percent) of infants under 4 months old are fed with a bottle with

  8. f

    Descriptive statistics of participants.

    • figshare.com
    xls
    Updated Sep 30, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Christopher I. Gurguis; Renée A. Duckworth; Nicole M. Bucaro; Consuelo Walss-Bass (2024). Descriptive statistics of participants. [Dataset]. http://doi.org/10.1371/journal.pone.0310598.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Sep 30, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Christopher I. Gurguis; Renée A. Duckworth; Nicole M. Bucaro; Consuelo Walss-Bass
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Depression has strong negative impacts on how individuals function, leading to the assumption that there is strong negative selection on this trait that should deplete genetic variation and decrease its prevalence in human populations. Yet, depressive symptoms remain common. While there has been a large body of work trying to resolve this paradox by mapping genetic variation of this complex trait, there have been few direct empirical tests of the core assumption that there is consistent negative selection on depression in human populations. Here, we use a unique long-term dataset from the National Health and Nutrition Examination Survey that spans four generational cohorts (Silent Generation: 1928–1945, Baby Boomers: 1946–1964, Generation X: 1965–1980, and Millenials: 1981–1996) to measure both depression scores and fitness components (lifetime sexual partners, pregnancies, and live births) of women from the United States born between 1938–1994. We not only assess fitness consequences of depression across multiple generations to determine whether the strength and direction of selection on depression has changed over time, but we also pair these fitness measurements with mixed models to assess how several important covariates, including age, body mass, education, race/ethnicity, and income might influence this relationship. We found that, overall, selection on depression was positive and the strength of selection changed over time–women reporting higher depression had relatively more sexual partners, pregnancies, and births except during the Silent Generation when selection coefficients neared zero. We also found that depression scores and fitness components differed among generations—Baby Boomers showed the highest severity of depression and the most sexual partners. These results were not changed by the inclusion of covariates in our models. A limitation of this study is that for the Millenials, reproduction has not completed and data for this generation is interrupted by right censoring. Most importantly, our results undermine the common belief that there is consistent negative selection on depression and demonstrate that the relationship between depression and fitness changes between generations, which may explain its maintenance in human populations.

  9. Adjusted multiple logistic regression of socioeconomic, demographic, and...

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jun 4, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Justin Christopher Yang; Andres Roman-Urrestarazu; Carol Brayne (2023). Adjusted multiple logistic regression of socioeconomic, demographic, and health variables associated with past-month substance use and any-use for adults, 2007–16. [Dataset]. http://doi.org/10.1371/journal.pone.0199741.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Justin Christopher Yang; Andres Roman-Urrestarazu; Carol Brayne
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Adjusted multiple logistic regression of socioeconomic, demographic, and health variables associated with past-month substance use and any-use for adults, 2007–16.

  10. f

    A health profile of Generation X (aged 25-44 years) and Baby Boomers (aged...

    • plos.figshare.com
    • figshare.com
    xls
    Updated May 30, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Rhiannon Pilkington; Anne W. Taylor; Graeme Hugo; Gary Wittert (2023). A health profile of Generation X (aged 25-44 years) and Baby Boomers (aged 25-44 years) at the same age using 2007/08 NHS data and 1989/90 NHS data from the Australian Bureau of Statistics. [Dataset]. http://doi.org/10.1371/journal.pone.0093087.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Rhiannon Pilkington; Anne W. Taylor; Graeme Hugo; Gary Wittert
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    NA or ‘level not determined’ categories not included.*p

  11. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Work With Data (2025). Dataset of books called Intelligent medicine : a guide to optimizing health and preventing illness for the baby-boom generation [Dataset]. https://www.workwithdata.com/datasets/books?f=1&fcol0=book&fop0=%3D&fval0=Intelligent+medicine+%3A+a+guide+to+optimizing+health+and+preventing+illness+for+the+baby-boom+generation

Dataset of books called Intelligent medicine : a guide to optimizing health and preventing illness for the baby-boom generation

Explore at:
Dataset updated
Apr 17, 2025
Dataset authored and provided by
Work With Data
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

This dataset is about books. It has 1 row and is filtered where the book is Intelligent medicine : a guide to optimizing health and preventing illness for the baby-boom generation. It features 7 columns including author, publication date, language, and book publisher.

Search
Clear search
Close search
Google apps
Main menu